thesis title knowledge management

Knowledge Management: A Study of Effective Management of Tacit Knowledge

• Department of Mechanical, Aerospace & Civil Engineering

Student thesis : Phd

File : application/pdf, -1 bytes

Type : Thesis

The Savvy Scientist

Experiences of a London PhD student and beyond

Thesis Title: Examples and Suggestions from a PhD Grad

When you’re faced with writing up a thesis, choosing a title can often fall to the bottom of the priority list. After all, it’s only a few words. How hard can it be?!

In the grand scheme of things I agree that picking your thesis title shouldn’t warrant that much thought, however my own choice is one of the few regrets I have from my PhD . I therefore think there is value in spending some time considering the options available.

In this post I’ll guide you through how to write your own thesis title and share real-world examples. Although my focus is on the PhD thesis, I’ve also included plenty of thesis title examples for bachelor’s and master’s research projects too.

Hopefully by the end of the post you’ll feel ready to start crafting your own!

Why your thesis title is at least somewhat important

It sounds obvious but your thesis title is the first, and often only, interaction people will have with your thesis. For instance, hiring managers for jobs that you may wish to apply for in the future. Therefore you want to give a good sense of what your research involved from the title.

Many people will list the title of their thesis on their CV, at least for a while after graduating. All of the example titles I’ve shared below came from my repository of academic CVs . I’d say roughly 30% of all the academics on that page list their thesis title, which includes academics all the way up to full professor.

Your thesis title could therefore feature on your CV for your whole career, so it is probably worth a bit of thought!

My suggestions for choosing a good thesis title

• Make it descriptive of the research so it’s immediately obvious what it is about! Most universities will publish student theses online ( here’s mine! ) and they’re indexed so can be found via Google Scholar etc. Therefore give your thesis a descriptive title so that interested researchers can find it in the future.
• Don’t get lost in the detail . You want a descriptive title but avoid overly lengthy descriptions of experiments. Unless a certain analytical technique etc was central to your research, I’d suggest by default* to avoid having it in your title. Including certain techniques will make your title, and therefore research, look overly dated, which isn’t ideal for potential job applications after you graduate.
• The title should tie together the chapters of your thesis. A well-phrased title can do a good job of summarising the overall story of your thesis. Think about each of your research chapters and ensure that the title makes sense for each of them.
• Be strategic . Certain parts of your work you want to emphasise? Consider making them more prominent in your title. For instance, if you know you want to pivot to a slightly different research area or career path after your PhD, there may be alternative phrasings which describe your work just as well but could be better understood by those in the field you’re moving into. I utilised this a bit in my own title which we’ll come onto shortly.
• Do your own thing. Having just laid out some suggestions, do make sure you’re personally happy with the title. You get a lot of freedom to choose your title, so use it however you fancy. For example, I’ve known people to use puns in their title, so if that’s what you’re into don’t feel overly constrained.

*This doesn’t always hold true and certainly don’t take my advice if 1) listing something in your title could be a strategic move 2) you love the technique so much that you’re desperate to include it!

Thesis title examples

To help give you some ideas, here are some example thesis titles from Bachelors, Masters and PhD graduates. These all came from the academic CVs listed in my repository here .

Bachelor’s thesis title examples

Hysteresis and Avalanches Paul Jager , 2014 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

The bioenergetics of a marine ciliate, Mesodinium rubrum Holly Moeller , 2008 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Functional syntactic analysis of prepositional and causal constructions for a grammatical parser of Russian Ekaterina Kochmar , 2008 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

Master’s thesis title examples

Creation of an autonomous impulse response measurement system for rooms and transducers with different methods Guy-Bart Stan , 2000 – Bioengineering – Imperial Professor –  direct link to Guy-Bart’s bioengineering academic CV

Segmentation of Nerve Bundles and Ganglia in Spine MRI using Particle Filters Adrian Vasile Dalca , 2012 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

The detection of oil under ice by remote mode conversion of ultrasound Eric Yeatman , 1986 – Electronics – Imperial Professor and Head of Department –  direct link to Eric’s electronics academic CV

Ensemble-Based Learning for Morphological Analysis of German Ekaterina Kochmar , 2010 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

VARiD: A Variation Detection Framework for Color-Space and Letter-Space Platforms Adrian Vasile Dalca , 2010 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

Identification of a Writer’s Native Language by Error Analysis Ekaterina Kochmar , 2011 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

On the economic optimality of marine reserves when fishing damages habitat Holly Moeller , 2010 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Sensitivity Studies for the Time-Dependent CP Violation Measurement in B 0 → K S K S K S at the Belle II-Experiment Paul Jager , 2016 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

PhD thesis title examples

Spatio-temporal analysis of three-dimensional real-time ultrasound for quantification of ventricular function Esla Angelini  – Medicine – Imperial Senior Data Scientist –  direct link to Elsa’s medicine academic CV

The role and maintenance of diversity in a multi-partner mutualism: Trees and Ectomycorrhizal Fungi Holly Moeller , 2015 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Bayesian Gaussian processes for sequential prediction, optimisation and quadrature Michael Osborne , 2010 – Machine Learning – Oxford Full Professor –  direct link to Michael’s machine learning academic CV

Global analysis and synthesis of oscillations: a dissipativity approach Guy-Bart Stan , 2005 – Bioengineering – Imperial Professor –  direct link to Guy-Bart’s bioengineering academic CV

Coarse-grained modelling of DNA and DNA self-assembly Thomas Ouldridge , 2011– Bioengineering – Imperial College London Senior Lecturer / Associate Prof –  direct link to Thomas’ bioengineering academic CV

4D tomographic image reconstruction and parametric maps estimation: a model-based strategy for algorithm design using Bayesian inference in Probabilistic Graphical Models (PGM) Michele Scipioni , 2018– Biomedical Engineer – Harvard Postdoctoral Research Fellow –  direct link to Michele’s biomedical engineer academic CV

Error Detection in Content Word Combinations Ekaterina Kochmar , 2016 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

Genetic, Clinical and Population Priors for Brain Images Adrian Vasile Dalca , 2016 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

Challenges and Opportunities of End-to-End Learning in Medical Image Classification Paul Jager , 2020 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

K 2 NiF 4  materials as cathodes for intermediate temperature solid oxide fuel cells Ainara Aguadero , 2006 – Materials Science – Imperial Reader –  direct link to Ainara’s materials science academic CV

Applications of surface plasmons – microscopy and spatial light modulation Eric Yeatman , 1989 – Electronics – Imperial Professor and Head of Department –  direct link to Eric’s electronics academic CV

Geometric Algorithms for Objects in Motion Sorelle Friedler , 2010 – Computer science – Haverford College Associate Professor –  direct link to Sorelle’s computer science academic CV .

Geometrical models, constraints design, information extraction for pathological and healthy medical image Esla Angelini  – Medicine – Imperial Senior Data Scientist –  direct link to Elsa’s medicine academic CV

Why I regret my own choice of PhD thesis title

I should say from the outset that I assembled my thesis in quite a short space of time compared to most people. So I didn’t really spend particularly long on any one section, including the title.

However, my main supervisor even spelled out for me that once the title was submitted to the university it would be permanent. In other words: think wisely about your title.

What I started with

Initially I drafted the title as something like: Three dimensional correlative imaging for cartilage regeneration . Which I thought was nice, catchy and descriptive.

I decided to go for “correlative imaging” because, not only did it describe the experiments well, but it also sounded kind of technical and fitting of a potential pivot into AI. I’m pleased with that bit of the title.

What I ended up with

Before submitting the title to the university (required ahead of the viva), I asked my supervisors for their thoughts.

One of my well intentioned supervisors suggested that, given that my project didn’t involve verifying regenerative quality, I probably shouldn’t state cartilage regeneration . Instead, they suggested, I should state what I was experimenting on (the materials) rather than the overall goal of the research (aid cartilage regeneration efforts).

With this advice I dialled back my choice of wording and the thesis title I went with was:

Three dimensional correlative imaging for measurement of strain in cartilage and cartilage replacement materials

Reading it back now I’m reminder about how less I like it than my initial idea!

I put up basically no resistance to the supervisor’s choice, even though the title sounds so much more boring in my opinion. I just didn’t think much of it at the time. Furthermore, most of my PhD was actually in a technique which is four dimensional (looking at a series of 3D scans over time, hence 4D) which would have sounded way more sciency and fitting of a PhD.

What I wish I’d gone with

If I had the choice again, I’d have gone with:

Four-dimensional correlative imaging for cartilage regeneration

Which, would you believe it, is exactly what it states on my CV…

Does the thesis title really matter?

In all honesty, your choice of thesis title isn’t that important. If you come to regret it, as I do, it’s not the end of the world. There are much more important things in life to worry about.

If you decide at a later stage that you don’t like it you can always describe it in a way that you prefer. For instance, in my CV I describe my PhD as I’d have liked the title to be. I make no claim that it’s actually the title so consider it a bit of creative license.

Given that as your career progresses you may not even refer back to your thesis much, it’s really not worth stressing over. However, if you’re yet to finalise your thesis title I do still think it is worth a bit of thought and hopefully this article has provided some insights into how to choose a good thesis title.

My advice for developing a thesis title

• Draft the title early. Drafting it early can help give clarity for the overall message of your research. For instance, while you’re assembling the rest of your thesis you can check that the title encompasses the research chapters you’re included, and likewise that the research experiments you’re including fall within what the title describes. Drafting it early also gives more time you to think it over. As with everything: having a first draft is really important to iterate on.
• Look at some example titles . Such as those featured above!
• If you’re not sure about your title, ask a few other people what they think . But remember that you have the final say!

I hope this post has been useful for those of you are finalising your thesis and need to decide on a thesis title. If you’ve enjoyed this article and would like to hear about future content (and gain access to my free resource library!) you can subscribe for free here:

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Knowledge Management Models And Organizational Design Of Digital Economy

The tremendous rate of change in all production factors conditions the new role of knowledge at the macro- and microeconomic levels. This, in turn, results in the need to generalize, update and adapt the knowledge management models to the new conditions and necessary competencies. Since the basic models are focused at standard organizational structures that fail to give due consideration of the present-day realities, the authors have noted that the factor of robustness should be taken into account, when developing knowledge management models. The essay presents basic provisions underlying the robust strategies concept. The problem of impact of embodied knowledge on technology, resulting in disappearance of a number of existing professions and competencies and appearance of previously non-existent trades, has been raised. The article notes that end-to-end technologies can be viewed as an infrastructural subsystem and as an accelerator of new NTI Nets markets and competencies. The knowledge increment implementation takes place within a specific organizational design. The cyber configuration interaction process that takes into account the basic technology packages of the three waves of digital economy development is adopted as a basic element of organizational design. The multidimensional model of cyber configuration interaction will ensure integrity and adaptability of the system as well as improvement of technologies in terms of networking and digital footprint. Keywords: Knowledge management models robustness organizational design cyber configuration interaction model

Introduction

To ensure efficiency of organization in the conditions of knowledge economy, challenges not pertaining to managerial routine are prevalent, those not having the property of extrapolation of previous experience in this context. The non-triviality of the target is conditioned by the tremendous rate of change in production factors and the new role of knowledge at the macro- and microeconomic levels. We live in the VUCA world (volatility, uncertainty, complexity and ambiguity). We can rely on the following data:

90% of information known to the world has appeared within the past few years;

75% of the world population have access to mobile communications, however not all of these people have access to pure water;

the cost of storage of one GB of information has decreased one billion times since 1980;

the cost of human genome sequencing has decreased 100 thousand times;

ten years ago, at least ten professions which are among the most sought-after and highly-paid today did not exist (BIG DATA specialist, APP developer, UAV operator, etc.).

In other words, knowledge generates exponential knowledge, so knowledge management models need actualization and adaptation to the new conditions and necessary competencies.

Problem Statement

The most important research problems include the following:

the existing knowledge management models pay insufficient attention to organizational knowledge that is at the heart of digital economy;

the process of development of knowledge management models ignores the robust approach that takes into account not only dynamic, but also technological change.

the traditional organizational structures, with inherent expressed concentration of powers and responsibility against the evident dispersion of competencies, do not secure the rate required to reach the productivity plateau.

Research Questions

This research purports to find answers to the questions in two main areas:

knowledge management models;

organizational design of digital economy.

Knowledge Management Models

In what aspect should the knowledge management models be mainstreamed and how should they be adapted to the new conditions and necessary competencies?

In what way is it possible to apply the key provisions of the robust strategies concept, when developing knowledge management models?

What is the advantage of the "creative destruction" method and how can its application be substantiated?

Organizational Design of Digital Economy

Why can end-to-end technologies be viewed as an infrastructural subsystem and the accelerator of new NTI Nets markets and competencies?

What processes are involved in cyber configuration interaction?

What are the benefits of the multi-dimensional model of cyber configuration interaction?

Purpose of the Study

The purpose of the study is development of the organizational design of digital economy based on updating the existing knowledge management models and adapting them to the conditions of accelerated changes in production factors and digital economy development waves.

The achievement of this goal requires solution of a number of challenges in the following areas.

The main objectives for solving the problems inherent in this area are:

generalization of the existing knowledge management models;

identification of limited areas of these models operation;

setting the way to adapt the knowledge management models to the conditions of digital economy and accelerated change.

The solution of the above tasks will make it possible to streamline the knowledge management models in the context of accelerated changes in the economy.

The topical issues are as follows:

substantiation of the role of end-to-end technologies as an instrument of reorganization and restructuring of "old" markets and competencies;

characterization of processes involving cyber configuration interaction;

development of a multidimensional model of cyber configuration interaction.

Solving the above problems will help to form the organizational design of the digital economy.

Research Methods

The solution of the set objectives is effectuated on the basis of application of general scientific research methods within the framework of comparative and logical analysis. The research is based on the method of scientific analytics. To achieve the set goals and objectives, it is supposed to use the experience and achievements of foreign and Russian scientists.

Analysis, generalization, assessment and adaptation of theories and models of knowledge management

There are three classical approaches to the knowledge management analysis: American, Scandinavian (European) and Japanese, that emerged as early as in the 80-90s of the 20th century. As is known, an American artificial intelligence researcher Viig ( 1986 ) introduced the concept of "knowledge management" ( 1986 ). At the end of the 20th century, it was not only the scientists who proceeded to research in this area - among then Sveiby ( 1992 ), the author of the chapter "The Knowledge Company" in the international strategic management review, who subsequently presented a doctoral thesis "Towards a Knowledge Perspective on Organization" ( Sveiby, 1994 ), or Senge ( 2006 ) with his concept of learning organization, - but also top managers of a number of American companies: for instance, the knowledge management experience at McKinsey ( MacDonald, 2014 ) was covered by The Economist in 1989, and in 1991 the Swedish insurance company "Skandia" officially introduced the position of Chief Knowledge Officer.

The popular knowledge management models include the models by I. H. Nonaka, G. Hedlund, M. Earl, E. Karajanis, L. Edvinsson, A. Inkpen, A. Dinur, Van Buren, Despres and Chauvel ( as cited in Marinko, 2004 ). A great contribution to the development of the knowledge management concept is represented by the work of Japanese scientists Nonaka and Takeuchi ( 1995 ) "The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation". The researchers described two types of knowledge: formalized (explicit) - in the form of documents - and non-formalized (implicit, subjective) - intuitive knowledge, feelings, impressions, opinions. Japanese scholars set a high value on informal knowledge, while Western scholars pay particular attention to formalization of knowledge. It should be highlighted that synergy of both types of the above knowledge is necessary in inclusive education ( Titova & Ilinskaya, 2020 ).

Today, organizational knowledge should be considered simultaneously as an information stock and as a progression (flow of this information). Information and knowledge, that form the basis of intellectual capital, have a number of specific characteristics in contrast to the monetary, natural, labour and technical resources of the organization: knowledge exists regardless of space, but is extremely sensitive to the time factor; the value of knowledge lies in its abundance, while the other resources are evaluated in terms of scarcity. Companies should use their unique organizational skills to gain sustainable competitive advantages in order to maximize their profits. One should agree with Sveiby's (2001) statement: "Knowledge Management is: The Art of Creating Value from Intangible Assets".

However, competitive advantages also change in the conditions of rapid changes in the external environment ( Eisenhardt, 1989 ); therefore, the dynamic capability concept has gained relevance. One of the hallmarks of dynamic capabilities, as mentioned by Eisenhardt and Martin ( 2000 ), is related to organizational change management. A similar statement was made by Oxtoby et al. ( 2002 ) and his co-authors who noted that the key dynamic capability is the ability of organizational change, which is generic in relation to all other dynamic capabilities embedded in the organization.

The principles of the dynamic capability concept were expounded in the works by D. Teece, G. Pisano and A. Shuen, R. Nelson, R. Amit, P. Shoemaker, B. Kogut, U. Zander, R. Henderson, I. Cockburn ( as cited in Andreeva & Chaika, 2006 ). Amit and Shoemaker ( 1993 ) voiced the idea of ​​the need for dynamic improvement of organizational business processes, talking about production flexibility and the reiterative process of product innovation.

The dynamic capability concept becomes even more important in the conditions of accelerated changes - not only in the external environment, but also in respect of the production factors as such - as was noted at the beginning of the article. But since recognition of the value of various resources often exceeds the rate of environmental change, the society faces the problem of formation of new resource combinations and "creative destruction", as described by Schumpeter ( 1934 ), an Austrian and American economist. Thus, the dynamic capability concept starts incorporating an entrepreneurial aspect.

Analysis of organizational design of digital economy in the environment of rapid technological changes

Of foremost importance, according to the authors, is the problem of influence of embodied knowledge on technologies and technological breakthrough entailing disappearance of existing and appearance of earlier inexistent professions and competencies. The knowledge embodied in end-to-end technologies shows a universal impact (NTI: End-to-End Technologies. The Story 2014-2018, 2020).

According to the national technological initiative promoted in accordance with the Decree of the Russian Federation No. 317 as of 18.04.2016 "On the Implementation of the National Technological Initiative" (2016), end-to-end technologies represent priority technologies involving big data, distributed registry systems, artificial intelligence, new production technologies, neurotechnologies, virtual and augmented reality technologies, wireless technologies, sensory studies and components of robotics, quantum technologies, new and portable energy sources, biological objects control technologies. The sequence demonstrates the scalability of end-to-end technologies at the microeconomic level, the possibility of their application in medium and small business, B2C business priority.

According to the experts of TechNet association, end-to-end technologies can be considered as an infrastructural subsystem, as an instrument of reorganizing and restructuring "old" markets, an accelerator of new NTI Nets markets and competencies ( Forecast of Development of the Markets Included in the Direction NTI "TECHNET", 2020 ). I. S. Metreveli, CEO of TechNet Association ( Accelerator of Technological Projects TechNet Project, 2020 ), noted that the mission of the acceleration programme within the framework of infrastructural projects is selection and development of innovative projects that aim at increased competitiveness of the national industrial companies in the global NTI markets and in high-tech industries.

Proceeding from the combination of the listed types of impact or account of the effective infrastructure factor ( Ilinskaya & Titova, 2019 ) that cannot be excluded (end-to-end infrastructure technologies), it is necessary to elaborate a new design for embodiment of knowledge in management structures. The factual increment of knowledge takes place in a specific organizational design that is closely related to the specificity of objectives to be solved. It is obvious that organizational design encompasses a multidimensional process including the following intervals: early startups, technology holders, low-tech company, high-tech company. Deeming the productivity plateau to be the macroeconomic goal, it is possible to actualize the need for network and digital interaction, with scaling of a business model ( Ilinskii et al., 2019 ), consideration of technological waves and market change specifics.

The process of cyber configuration interaction (CCI), that encompasses ad maximum the basic technological packages of the three waves of the Russian digital economy development, has been assumed to be the basic element of organizational design. CCI represents flexible management of acceleration elements and structures, a design tool for formats aimed at creating high-tech products, regional standards and spin-off ( Titova, 2018 ). CCI includes two interconnected processes - change management and technological innovation management, with unique properties providing for Russian companies' priority positions ( Ilinskaya, 2018 ).

The American analysts from Gartner, a research and consulting company founded by G. I. Gartner in 1979, postulated that every stage of development of a company offering a new technology to the world is characterized by a certain level of informational hype around the innovation. The "hype cycle" shows that every technological innovation goes through several stages: technological trigger, peak of inflated expectation, trough of disillusionment, overcoming shortcomings, productivity plateau (Gartner Hype Cycle. Interpreting Technology Hype, 2020).

The CCI structure depends on the choice of targets and can be adjusted even within a short period of time, in turn determining the characteristics of scenarios and the scale of changes. CCI ensures integrity and adaptability of the system, along with improvement of technologies in terms of networking and digital footprint. The traditional organizational structure (Figure 01 ) is as follows: 1 - management centre; 2-n - management functional subsystems in the value chain; a-g - reverse impact on operating business.

The traditional organizational structures have a pronounced concentration of powers and responsibility against a noticeable dispersion of competencies, therefore they have low efficiency in the conditions of high rate of environmental change and production factors.

The research results may be presented through a number of provisions.

Robust approach to development of knowledge management models

It is generally accepted that the dynamic capability concept (DCC) appeared pursuant to the development of the resource-based approach, with a view to add dynamism to its static structures. In accordance with this concept, it is necessary to provide dynamic capabilities, i.e. the ability to modify and revise one's competencies in order to achieve better match with the changing goal or environment. The capabilities, in turn, are interpreted as changing internal and external organizational skills, resources and functional competencies. According to DCC, targeted results are created through the use of organizational and managerial processes, positions, i.e. assets of all types, as well as the methods aimed to develop highly efficient routines for a long term. Accordingly, dynamic capabilities are also characterized as "competency development trajectories" ( Teece et al., 1997 ). Dynamic capabilities encompass flexibility needed to enable change and limitations derived from the specific features of nosology.

The analysis of the basic knowledge management models has shown that they are oriented at standard organizational structures that can be described as rigid, having a potential for technological breakthrough, though failing to give due consideration of the present-day realities. On the contrary, the robust approach to embodied and distributed knowledge, in terms of development of knowledge management models, takes into account both dynamic and technological change.

The robust strategies concept ( Beinhocker, 1999 ) is based on the following provisions. First, the external environment is an extremely unpredictable complex system that develops according to its own rules under the influence of effects of periodically disturbed equilibrium and dependence on the covered distance. In this regard, the traditional methods of changing the external environment cannot be used. Second, the strategy is presented in the form of management cluster combining strategies for the current and perspective scenarios, complementing each other and oriented at different time periods, which makes it possible to apply a certain variety of alternatives. The possibility of reduced risks and increased probability of achieving targets alters the rigidity of goal-setting and business field planning. The dynamic components increase is shown through the expansion of business units owing to the experimentally oriented innovation component. Redistribution of resources, including investment ones, is supposed to take place in parallel with the changing activity fields.

Multidimensional network configuration modelling

It is possible to draw a conclusion, based on the analysis of the national technological initiative provisions and the hype cycle according to the Gartner’s analysts, on the increased non-reproducibility and nonrepeatability of dynamic and equilibrium processes and, as a consequence, on the impossibility of targeting in the organizational structure format.

H. Haken developed a synergy concept ( Haken, 1991 ) in which he distinguished three attributes that bring a nonequilibrium system of any nature into the state of self-organization: rank parameters, principle of subordination and cyclical causation. Any open system depends on external or governing parameters; the system behaviour changes in the event of their drastic change. The new behaviour of a system is described with the use of rank parameters that condition the behaviour of its individual elements; that is, the behaviour of individual elements of a system is subordinated to the rank parameters. However, some parts of a system can evade submission and sometimes can set the rank parameters themselves, which means that there exists cyclic causation within the framework of the synergy concept.

Change control can be rightfully considered within the timeline of fluctuations of numerous socio-economic parameters (the cycles described by A.L. Chizhevsky, S. Kuznets, R. Bagr, N.D. Kondratiev and others) and spatial restructuring. According to Ashby ( 1947 ), it is information that is the measure of change in time and space of the systems structural diversity. Structural diversity is of great importance in the analysis of economic systems where the structure is determined by their functional purpose setting the relationship between information and order. Ashby's law states that management can be secured only if the variety of means of the entire management system is at least comparable with the multifacetedness of the situation being managed by it.

Organizational diversity allows the system to absorb information from the environment more efficiently, which results in reduced uncertainty and mitigated chaos of the system and does not contradict to L. Boltzmann's concept of entropy as a measure of disorganization or transition from order to chaos, and does not oppose the entropy increase law. Economic and social systems receive negative entropy from the external environment in the form of information. The latter has a negentropic nature, as noted by Wiener ( 1948 ) confirming the idea of ​​a French physicist L. Brillouin.

To ensure organizational diversity of a system, each level of organization should be divided into a number of sublevels (strata) and transitions between them. The levels will be governed by dynamic patterns, while the transitions between them - by chaotic patterns. According to Haken ( 1991 ), chaos (or fast oscillation mode, according to his terminology) is a condition for self-organization of a system at the next, higher level of organization of economy and society. The multidimensional structure of business subunits networking, in the conditions of adequate digital economy, is characterized by the following features:

flexibility and adaptability of organizational structures;

absence of any full and backup set of operational activity components;

non-obligatory presence of own capital- and investment-intensive business units which include trend-setting and venture divisions;

the ability of prompt generation of multi-dimensional configurations for the solution of particular innovative challenges;

no orientation at build-up of property or towards complicating its structure due to a possibility of indirect ownership (lease, hire, access rights).

This is matched, in the area of organizational design, by a multidimensional model of cyber configuration interaction, illustrated by example of two enterprises (Figure 02 ).

The squares depict various types of activities: outsourcing, franchising, other services. The circles mean top elements of the functional subsystems of the managerial apparatus. The triangles designate different levels of operational activity for functional management subsystems. The continuous line shows the interrelation within the enterprise A, the dashed line - for the enterprise B, the dotted line - for the enterprise C. Three different types of configurational interaction of the three enterprises are presented by three coloured lines.

The undertaken research enabled us to draw the following conclusions.

Knowledge management models

The review of the existing knowledge management models has shown that organizational knowledge is not paid due attention to in the conditions of rapid digitalization of the economy.

When developing knowledge management models, it is necessary to apply the robust approach that takes into account not only dynamic, but also technological change.

The dynamic components increase is manifested through the expansion of business units owing to the experimentally oriented innovation component.

The embodied knowledge has an impact on technologies and technological breakthrough entailing disappearance of existing and appearance of earlier inexistent professions and competencies.

The traditional organizational structures with inherent expressed concentration of powers and responsibility against evident dispersion of competencies do not secure the rate required to reach the productivity plateau in the conditions of digital economy.

End-to-end technologies can be viewed as an infrastructural subsystem, a tool for reorganization and restructuring of "old" markets, an accelerator of new NTI Nets markets and competencies. The cyber configuration interaction process that takes into account the basic technology packages of the three waves of digital economy development is a basic element of organizational design.

The multidimensional model of cyber configuration interaction is most suitable for the organizational design of digital economy, when the levels are governed by dynamic patterns, and the transitions between them - by chaotic patterns.

Acknowledgments

We would like to thank the anonymous reviewer for the constructive comments to improve the manuscript.

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• Ilinskaya, E. M., & Titova, M. N. (2019). Infrastructural Factors in the Context of Clustering and Digitalization of Economy, in Monograph. In A. V. Babkin (Ed.), Digital Transformation of Economy and Cluster Development (pp. 63-93). St. Petersburg. [in Russ.]
• Ilinskii, V. V., Titova, M. N., & Ilinskaya, E. M. (2019). Business Model Innovation in Digital Economy, in Monograph. In A.V. Babkin (Ed.), Digital Economy and End-To-End Technologies: Theory and Practice (pp. 90-113). POLYTECH-PRESS. [In Russ.]
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21 October 2020

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https://doi.org/10.15405/epsbs.2020.10.03.138

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Economics, social trends, sustainability, modern society, behavioural sciences, education

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Titova, M. N., Ilinskaya, E. M., Sumbarova, Y. O., & Chuprinina, A. A. (2020). Knowledge Management Models And Organizational Design Of Digital Economy. In I. V. Kovalev, A. A. Voroshilova, G. Herwig, U. Umbetov, A. S. Budagov, & Y. Y. Bocharova (Eds.), Economic and Social Trends for Sustainability of Modern Society (ICEST 2020), vol 90. European Proceedings of Social and Behavioural Sciences (pp. 1206-1216). European Publisher. https://doi.org/10.15405/epsbs.2020.10.03.138

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Published by Grace Graffin at January 6th, 2023 , Revised On April 16, 2024

Introduction

The subject of management involves an in-depth understanding of the various aspects of business management, such as employee management, risk management, organisational behaviour, and many more.

When choosing a topic for your management dissertation, make sure to consider diverse topics that explore both the theoretical and practical aspects of management.

We understand that getting a dissertation topic approved can be extremely challenging as academic supervisors require students to research a unique case.

This is where our team of writers comes into play. Our writers can up with exciting and manageable management dissertation topics to help get the juices flowing in your head so you can write your dissertation on a unique and engaging topic.

You may also want to start your dissertation by requesting  a brief research proposal  from our writers on any of these topics, which includes an  introduction  to the topic,  research question ,  aim and objectives ,  literature review  along with the proposed  methodology  of research to be conducted.  Let us know  if you need any help in getting started.

Check our  dissertation examples  to get an idea of  how to structure your dissertation .

Review the full list of  dissertation topics for here.

How to Select the Best Management Dissertation Topic?

A dissertation topic must be selected based on research interests, availability of data, time limitations, and the research’s scope and significance. The following management dissertation topics are carefully shortlisted while considering all these parameters. Please review these topics and let us know if you have any queries.

Also Read: Operations Management Dissertation Topics

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• HRM Dissertation Topics
• Operations Management Dissertation Topics

2024 Management Research Topics

Topic 1: an evaluation of organizational change management- why do people tend to oppose change.

Research Aim: The research will aim to assess the structure of organizational change management and to find the reasons why people resist or oppose the changes in an organization. There are many reasons through which change in organization’s management becomes important but some employees’ does not accept that changes. There are many reasons why people resist changes on organization. In certain circumstances, resistance to change might be beneficial. Resistance to change is, in fact, a crucial feedback mechanism that must not be neglected.

Topic 2: Investigating the effectiveness of customer relationship management in airlines

Research Aim: The research will aim to study the efficiency of CRM in airlines. Customer relationship management has evolved into a critical technique used by every corporation to better its operations and obtain a competitive advantage over competitors. Customer relationship management has evolved into a key priority for airline firms and an integral part of airline businesses’ corporate strategy to distinguish themselves from rivals in the eyes of the consumer. The goal of facility organisations, such as airlines, is to provide services that attract and maintain satisfied, loyal customers who promote the airline.

Topic 3: How does leadership affect employees’ productivity? A case of IT firms

Research Aim: This research will focus on leadership positions in IT organisations with the goal of increasing staff productivity and performance. Leadership is essential for increasing employee retention, career drive, and efficiency. Most companies’ progress is accelerated by effective leadership. As a result, it is critical to organisational success. Employee performance, on the other hand, is a critical pillar of every firm, and companies must examine the variables that contribute to great performance. Leadership is based on confidence, which is based on skill, sincerity, ethics, transparency, reactivity, empathy, and kindness.

Topic 4: The effect of organisation advancement tools on business performance

Research Aim: The research will aim to find the effect of organization advancement on business performance. Organizational tools are objects that assist you in organising your workspace, resources, and tasks in order to make your workday more effective. Physical instruments, planners, and software platforms are examples of what they can be. Organization advancement tools are a great source to improve your business performance as they help you in managing your daily tasks and workforce.

Topic 5: The importance of leadership and social skills in new entrepreneurs: An investigative study

Research Aim: The research will aim to investigate the importance of leadership and social skills in new entrepreneurs. Developing talent, introducing innovative goods and services, delivering efficiency, and gaining market share all benefit from improved leadership qualities. If you wish to stay small, you might be able to get away with not growing your leaders. Otherwise, it will restrict your progress. Social skills enable entrepreneurs to interact with customers more effectively, resulting in more agreements and more profitability.

Covid-19 Management Research Topics

Crisis management during covd-19.

Research Aim: This study will identify crisis management aspects during COVD-19, including its challenges and solutions.

Business management during COVID-19

Research Aim: This study will review business executives’ challenges in various scale industries and how they are recovering from the loss. How far did they succeed?

Hospital and medicine management during COVID-19

Research Aim: This study will highlight the role of hospital management during COVID-19, the challenges they came across, and the ways to overcome those challenges.

Educational management during COVID-19

Research Aim: This study will address the issues faced by students and educational institutes. How are they trying to overcome the challenges of imparting education during the coronavirus pandemics?

Maternal health care management during COVID-19

Research Aim: The lockdown situation has been an issue of concern for the patients, including pregnant women. This study will address the role of Maternal health care management during COVID-19.

Management Dissertation Topics for 2023

Topic 1: analyzing the traditions and trends in public administration and management in post-wwii europe.

Research Aim: The purpose of the research will be to analyze the characteristics of cultural and national communities that have influenced public administration and management in the 1970s and 1980s in Europe. The study will be carried out using a systematic literature review.

Topic 2: The Impact of Gender-inclusive Gatekeeping and Predecessors Influence on the Success of Female CEOs

Research Aim: The purpose of the research will explore how local organisational agents and contexts can help women leaders overcome barriers and achieve success at higher levels in corporate firms. The study will focus on CEO succession events and predecessor CEOS factors and their influence on women post-succession. The research design will be developed qualitatively.

Topic 3: Analysing the Impact of Daily Psychological Power on Organisational Leaders

Research Aim: The research will use quantitative techniques to analyze power-holders relational and interdependent work contexts. The study will examine the effect of daily psychological power using the factors of abusive behaviour and perceived incivility.

Topic 4: Examining the Impact of Cultural Diversity on Interaction Process and Performance

Research Aim: Using quantitative techniques, the research will analyse the interaction process and performance factors in two groups of employees in the services industry – homogenous and culturally diverse. The effectiveness in operation and arrangements will be examined.

Topic 5: Analyzing the Impact of ‘Voice’ and ‘Silence’ on Destructive Leadership

Research Aim: The research will examine the limited and biased view of silence in management literature. The study will also analyse the impact of silence in an organisation in terms of a functional value using quantitative research techniques. Furthermore, how silence in organisations can be used as a strategic response will be discussed.

Topic 6: Examining the Relationship between Productivity, Management Practices, and Employee Ability in the UK Setting

Research Aim: Using quantitative techniques, the study will analyse a relationship between productivity, management practices, and employee ability using data from management practices surveys and employees’ longitudinal earnings records.

Topic 7: Analysing the Factors that Impact International Differences in Gender Pay Gap

Research Aim: The research will use quantitative techniques to analyse microdata from various countries between 1980 and 2010. The study will use the factors of wage structures, net supply, wage compression, collective bargaining coverage, and unionised wage setting to identify the lower gender pay gap internationally.

Topic 8: The Impact of Psychosocial Hazards on Workplace Risk Management

Research Aim: The study will investigate workplace risk management practices in industry sectors with a high risk of musculoskeletal disorders (MSDs) and mental health disorders (MHDs) and the extent to which they may rise from psychosocial hazards. The research will be conducted using qualitative research techniques.

Strategic Management and Organisational Behavior Dissertation Topics

Strategic management and organisational behaviour can be described as the actions a firm takes to achieve its business objectives primarily derived from competitive markets’ dynamic behaviour. Following are some interesting dissertation topics under this field of study;

Topic 1: The Impact of Organisational Goals on Organisation Behavior

Research Aim: The primary focus of this research will be to combine factors from the theory of action, phases and self-determination theory to develop a motivational model that will explain the relationship between organisational goals setting process that lead to organisational behaviour. The research will be conducted using mixed methods of research techniques.

Topic 2: Integrating the Principles of Strategic Human Capital and Strategic Human Resource Management to Improve Organisational Performance

Topic 3: comparing the impact of family and non-family firm goals on strategy, family and organisational behavior.

Research Aim: This research will analyse the differences between family and non-family business goals and their impact on how businesses develop strategies. Also, the research will assess how these developed strategies would affect family and organisational behaviour. This research will use quantitative research techniques.

Topic 4: Analyzing the Effect of Strategy, Innovation, Networks and Complexity on Organisational Adaptability – The Mediating Effect of Leadership

Research Aim: The current study will use empirical analysis to examine the effects of strategy, innovation, networks, and complexity of organisational adaptability using leadership as a mediation factor.

Topic 5: Examining the Effect of Appointment of a Racial Minority Female CEO on White Male Top Manager Intrapsychic and Behavioral Responses

Research Aim: This research will examine white male managers’ behavioural responses to a female racial minority CEO’s appointment. The behaviour that the research will analyse is the amount of help that the white male top manager provides to their fellow executives. The research will be conducted using quantitative techniques.

Topic 6: Analysis of the Effectiveness of an Affect-Based Model to Portray Recipients Responses to Organisational Change Events

Research Aim: The study will use the Affect-Based Model developed by Oreg et al. (2016) to analyse if it is useful in documenting and portraying the recipient responses to organisational change events. The research will use factors of valence and activation to assess the effectiveness of the model. The study will be conducted using quantitative techniques.

Topic 7: Evaluating the Relationship between the personality of a CEO and Employee Motivation

Research Aim: This research will investigate the relationship between a CEO’s personality and employee motivation. The core of this study will be to assess whether a CEO’s character possesses the power to influence employee motivation or not. Case studies from various companies will be used in this study.

Topic 8: Assessing the Role of Managers in Bringing and Implementing Technological Change in an Organisation

Research Aim: This research will focus on how managers implement technological change in their organisations. Change management is challenging as not all employees are open to accepting change. This research will focus on various ways through which managers successfully implement technological change in their companies.

Topic 9: An Analysis of Organisational Change Management: Why Employees Resist Change?

Research Aim: This research will focus on why employees resist change in organisations, i.e., why employees dislike change. Different causes and factors will be discussed in this study, and the research will conclude why employees do not wholeheartedly accept the change.

Knowledge Management Dissertation Topics

The importance of knowledge management for organisations can’t be understated because this aspect of management enhances the workforce’s capabilities and overall productivity. It leads to a competitive advantage and provides the basis for differentiating an organisation from its competitors. Some interesting dissertation topics under this field are;

Topic 1: Examining the Impact of Enterprise Social Networking Systems (ESNS) on Knowledge Management and Organisational Learning

Research Aim: The research will investigate the effect of ESNS on knowledge management processes and organisational learning. The research will use knowledge creation and sharing to play the mediating role in analysing the proposed relationship. The proposed study will use empirical research methods.

Topic 2: A Review of Knowledge Management Research

Research Aim: The research paper will use a systematic literature review technique for the proposed study. The research will review the last twenty years of knowledge management literature to assess the presence of bias in explaining knowledge integration over research by exploring knowledge differentiation processes.

Topic 3: The Impact of the Internet of Things (IoT) on Innovation and Knowledge Management Capacity

Research Aim: The purpose of this research will be to investigate the plausible relationship between knowledge management systems, open innovation, knowledge management capacity, and innovation capacity in firms. The research will be conducted using empirical techniques to draw reliable conclusions.

Topic 4: The Impact of Strategic Knowledge Management on MNC and their Subsidiaries Performance

Research Aim: The research will develop a model to test the possibility of a relationship between strategic knowledge management (SKM) processes and organisation performance compared between multinational companies and their subsidiaries. The research will also analyse the impact of relational context on knowledge creation and transfer.

Topic 5: Analyzing the Relationship between Knowledge Management Practices and Knowledge Worker Performance - The Mediating Role of Organisational Commitment

Research Aim: The study will analyse the role of knowledge management practices to address the issues of insufficient organisational commitment and knowledge workers’ performance in the UK’s public sectors. The proposed study will use quantitative research techniques to fulfil its aim and objectives.

Topic 6: The Relationship between Knowledge Management Processes and Sustainable Competitive Advantage in Private Business Schools in the UK

Research Aim: The proposed research will explore the impact of knowledge management processes on sustainable completive advantages by using knowledge-based view (KBV) and resource-based view (RBV) as mediators in the relationship. The research will be conducted using quantitative techniques of data collection (i.e. questionnaire) and analysis (i.e. structural equation modelling).

Topic 7: The Impact of Strategic Knowledge Management on Manufacturing Firm’s Performance

Research Aim: The purpose of the study will be to empirically investigate the relationship between the availability and use of IT solutions for strategic knowledge management and a manufacturing firm’s performance, which will be measured in unit production. The research will use the resource-based view and the knowledge-based theory to develop a conceptual framework to analyze this relationship’s effect.

Topic 8: Evaluating how Knowledge Management Impacts Company Performance: A Case Study of Sainsbury

Research Aim: This research will discuss the basic concepts of knowledge management. The study will also discuss the impact knowledge management has on a company’s performance, i.e. how it helps companies achieve their goals. The main focus of this research work will be on Sainsbury’s knowledge management framework.

Topic 9: Knowledge Management as a Core Competency? Evaluating the Application and Benefits of Knowledge Management

Research Aim: This research will uncover how companies utilise knowledge management as their core competency and how it benefits their business operations. This study’s main focus will be on applying the various concepts of knowledge management and their implication for businesses.

Topic 10: Exploring the Managerial Concerns and Issues in Knowledge Management and Their Impact on Organisations

Research Aim: This research will explore the managerial concerns and issues related to knowledge management. The study will also focus on assessing the impact of these issues on businesses and how they can influence day-to-day operations. This will be an evidence-based study where evidence from different companies and various situations will be evaluated.

Leadership and Management Information System Dissertation Topics

Leadership drives the organisational agenda and is regarded as one of the most influential factors in streamlining organisations’ processes. Good leadership results in better performance of any organisation because it gives direction to the business activities under the market conditions and requirements.

Similarly, management information systems are pivotal to any organisation’s success and successfully implementing them can benefit the organisation in many ways. Following are some dissertation topics under the subject of leadership and management information systems;

Topic 1: The Role of Information Systems (IS) in Enterprise Architecture and its Impact on Business Performance

Research Aim: This study will examine the relationship between IS Enterprise Architecture and business performance using technical alignment and IS capabilities mediators. This research will be conducted using quantitative techniques to fulfil its aim.

Topic 2: Exploring The Relationship between Ethical Leadership and Employee Knowledge Sharing

Research Aim: This research will use social learning theories and self-determination to investigate the relationship between ethical learning and employee knowledge sharing. The study will be conducted using empirical research techniques.

Topic 3: Analysing the Impact of Relationship Leadership and Social Alignment on Information Security Systems Effectiveness in Private Organisations

Research Aim: This research will use social capital theory as its theoretical foundation to explore the impact of relational leadership on social alignment between business and IT executives. The relational model will study the factors of integrated knowledge, information security system effectiveness, and organisational performance. This research will use empirical techniques.

Topic 4: Examining the Relationship between Operating Room (OR) Leadership and Operating Staff Performance

Research Aim: This research will analyse the relationship between Operating Room leadership and operating staff performance. This will be done using emotional intelligence and collaboration variables to assess staff performance, using recovery numbers. The relationship will also be examined through the mediating role of leadership principles. The data will be collected and assessed using quantitative research techniques.

Topic 5: The Role of Transformational Leadership as a Mediating Variable in the DeLone and McLean Information Success Model.

Research Aim: The research will use the DeLone and McLean Information Success Model to analyse if productivity software implemented in an organisation can improve its performance. However, the research will also evaluate the model and propose modifications to include transformational leadership as a mediating factor in the information success model. The research will be quantitative in nature.

Topic 6: Assessing the Role of Leadership in an Organisation to Help Adopt Advanced Technological Systems

Research Aim: This research will assess the role of leadership in an organisation to help companies realise the importance of innovative, technologically advanced systems. Many companies today are still naive to the ever more important role of technology. Thus this research will aim to help companies adopt innovative technological systems through leadership. The research will be evidence-based in nature.

Topic 7: Evaluating How Changing Business Leadership Impacts Technological Organisational Performance

Research Aim: Changing leadership in organisations can prove a disaster if not handled properly. The transition process is extremely challenging, and companies should have the capability to handle this phase. This research will explore how their decision to change leadership impacts technological and organisational performance and how to optimise the process. This research will be quantitative in nature.

Topic 8: Can Information Systems in Organisations Be Considered a Competitive Advantage?

Research Aim: Information systems, if implemented successfully, benefit organisations immensely. The impact that an information system has and its results help companies stay ahead of their competitors. This research will assess how companies can turn their information systems into a competitive advantage, and most importantly, whether they or not information systems should be considered a competitive advantage.

Topic 9: Understanding the Leadership Challenges of Implementing and Managing an Advanced Information System in an Organisation

Research Aim: This research will help explain the challenges that managers and the entire leadership of an organisation face when implementing an advanced information system. Bringing a change in a company is challenging, and throw in a technology to implement, the process becomes even more challenging. This study will explore in detail all related challenges through quantitative research.

Topic 10: Do all Business Processes in an Organisation need Information System Management?

Research Aim: It is often argued that not all business processes require information systems. However, when talking about today’s world and the technological advancements taking place, it is recommended that business processes in organisations adopt the technology. This research will be a comparative analysis of whether companies are successful and profitable with information systems or without them.

Also Read: Business Dissertation Topics

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Organisational Culture and International Business Dissertation Topics

Organisational culture shapes the work ethics and helps in defining the professional image of organisations. Organisational culture plays a huge role in international business.

Organisations that adopt the country’s culture they are operating in are known to run their operations more successfully. The following topics are related to organisational culture and international business and help students choose an appropriate topic according to their interests.

Topic 1: The Impact of Organisational Culture of Collaborative Networks Influence on IT Governance Performance in Large Enterprises

Research Aim: This research will explore the influence of collaborative networks’ organisational culture on IT governance performance. The study will use a case study to analyse multinationals as they have a wide working network. The purpose of the research will be to determine whether or not organisational culture helps businesses effectively use IT in business operations. The research will be conducted using mixed methods research.

Topic 2: Analysing the Relationship between Supervisor’s Job insecurity and Subordinates’ Work Engagement

Research Aim: The purpose of this research is two-fold. The research will analyse the relationship between the supervisor’s job insecurity and subordinates’ work engagement using a mediator and a moderator. The research will first examine the mediating role of subordinate’s pro-social voice between supervisor job insecurity and subordinates’ work engagement. Next, the research will examine the moderating role of organisational culture between the supervisor’s job insecurity and sub-ordinates pro-social voice. The research will be conducted through quantitative techniques.

Topic 3: Analysing the Impact of Individual Perception of Organisational Culture on the Learning Transfer Environment

Research Aim: The research will be conducted empirically to assess the relationship between culture (as perceived by employees) and the work environment based learning factors (i.e. learning transfer environment [LTE]) in the organisation). LTE is measured using feedback and coaching factors that received resistance or openness to chance, personal outcomes, and supervisor and peer support.

Topic 4: The Role of Organisational Culture on the Development of Psychological Distress in the Workplace

Research Aim: The purpose of the study will be to analyse how organisational culture may cause the symptoms of psychological distress in the workforce. The study will use corporate culture and work organisation conditions as base factors to relate them to employees’ psychological distress. The research will be conducted using quantitative research techniques.

Topic 5: Analysing the Role of Leadership and Organisational Culture

Research Aim: The research will examine the relationship between organisational culture, leadership and employee outcomes. The paper will focus on the mediator of leadership processes and their impact on the relationship between culture and employee outcomes. The study will be conducted using quantitative research techniques.

Topic 6: The Role and Relationships among Strategic Orientations, Cultural Intelligence, International Diversification and Performance of Organisations

Research Aim: The research will aim to understand the drivers of the international expansion of globalised firms. The research will explore the relationship between strategic orientations and cultural intelligence as drivers and international diversification and firm performance. Strategic orientations used in the study include international market orientation (IMO) and entrepreneurial orientation (IEO). The study will be conducted using quantitative research techniques.

Topic 7: Dynamics of Corruption Culture Distance to Core Values

Research Aim: The research will examine how corporate bribery is impacted by cultural distance between multinational enterprises (MNEs) in their home and host countries. The research will also analyse the organisational distance to core value between MNE’s entry into the host country and its headquarters. The research will use empirical data collection and analysis techniques.

Topic 8: Examining Organisational Export Performance by International Business Competencies

Research Aim: The study aims to explore the relationship between international business competencies and export performance. The research will also analyse export performance by singular analysis or combined analysis of the competencies. The research will be conducted using empirical data.

Topic 9: Does Organisational Culture Influence the Leadership Type that a Company Should Adopt?

Research Aim: This research will argue whether companies should hire leaders concerning their culture or not. Organisational culture and leadership are interconnected. Thus companies that do not operate according to their culture struggle to grow exponentially. This research will aim to focus on the possible relationship between leadership and organisational culture. The research will be evidence-based.

Topic 10: Organisational Culture and International Business Competition: Are they Interrelated?

Research Aim: Organisational culture plays a huge role in making a company competitive internationally. When a business’s culture is motivating to all employees and identifies the right culture for its employees, there is every likelihood of rapid growth for both the company and the employees. The research will explore how the two concepts are interrelated.

Important Notes:

As a management student looking to get good grades, it is essential to develop new ideas and experiment with existing management theories – i.e., to add value and interest to your research topic.

The management field is vast and interrelated to many other academic disciplines like operations management , business , business administration , MBA , human resource management and more. That is why creating a management dissertation topic that is particular, sound, and actually solves a practical problem that may be rampant in the field is imperative.

We can’t stress how important it is to develop a logical research topic based on your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, there is a possibility that the study is not viable.

This impacts your time and efforts in writing your dissertation , as you may end up in the cycle of rejection at the initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

Keeping our advice in mind while developing a research topic will allow you to pick one of the best management dissertation topics that fulfil your requirement of writing a research paper and adds to the body of knowledge.

Therefore, it is recommended that when finalizing your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and be practically implemented. Please look at some of our sample management dissertation topics to get an idea for your own dissertation.

How to Structure your Management Dissertation

A well-structured dissertation can help students to achieve a high overall academic grade.

• A Title Page
• Acknowledgements
• Declaration
• Abstract: A summary of the research completed
• Table of Contents
• Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems. An outline of the structure of a dissertation can also be added to this chapter.
• Literature Review : This chapter presents relevant theories and frameworks by analysing published and unpublished literature on the chosen research topic to address research questions . The purpose is to highlight and discuss the selected research area’s relative weaknesses and strengths while identifying research gaps. Break down the topic and key terms that can positively impact your dissertation and your tutor.
• Methodology : The data collection and analysis methods and techniques employed by the researcher are presented in the Methodology chapter, which usually includes research design , research philosophy, research limitations, code of conduct, ethical consideration, data collection methods, and data analysis strategy .
• Findings and Analysis : Findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include graphs, charts, and tables in this chapter to identify meaningful trends and relationships.
• Discussion and Conclusion : The researcher presents his interpretation of results in this chapter and states whether the research hypothesis has been verified or not. An essential aspect of this section is establishing the link between the results and evidence from the literature. Recommendations with regards to implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
• References : Make sure to complete this by your University’s requirements
• Bibliography
• Appendices : Any additional information, diagrams, and graphs used to complete the dissertation but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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Frequently Asked Questions

How to find dissertation topics about management.

To find management dissertation topics:

• Research recent management challenges.
• Explore industry trends and innovations.
• Analyze organizational behavior or strategies.
• Examine cross-cultural management issues.
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The Knowledge Triangle

Changing Higher Education and Research Management Paradigms

• © 2021
• Dirk Meissner 0 ,
• Leonid Gokhberg 1 ,
• Yaroslav Kuzminov 2 ,
• Mario Cervantes 3 ,
• Sylvia Schwaag Serger 4

National Research University Higher School of Economics, Moscow, Russia

You can also search for this editor in PubMed   Google Scholar

Organization for Economic Cooperation and Development, Paris, France

School of economics, lund university, stockholm, sweden.

• Provides a systematic view on the role of universities in national ecosystems
• Presents broad collection of case studies
• Highlights best practice examples

Part of the book series: Science, Technology and Innovation Studies (STAIS)

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Table of contents (15 chapters)

Front matter, higher education and research management paradigms in the knowledge triangle, knowledge triangle targeted science, technology and innovation policy.

• Dirk Meissner, Leonid Gokhberg, Yaroslav Kuzminov, Mario Cervantes, Sylvia Schwaag Serger

Conceptual Foundations of the Knowledge Triangle

Knowledge triangle: the right concept to align universities missions.

• Peter P. Groumpos, Dirk Meissner

Knowledge Triangle Between Research, Education, and Innovation: A Conceptual Discussion

• Maximilian Unger, Wolfgang Polt

Different Approaches to Regional Embeddedness and the Knowledge Triangle in Germany

• Stephanie Daimer, Michael Rothgang, Jochen Dehio

Technology Upgrading and Knowledge Triangle in Brazil

• Bruno Fischer, Paola Rücker Schaeffer, Nicholas Vonortas

Knowledge Triangles in Dutch Entrepreneurial Ecosystems

• Monique Roso, Erik Stam, Georges Romme, Jan Peter van den Toren

Knowledge Triangle in Higher Education Institutes and Public Research Organizations

Developing research organisations towards knowledge triangle with project funding instruments: an example from estonia.

• Kadri Ukrainski, Hanna Kanep, Kadi Timpmann

Incorporating Knowledge Triangle in University Management System: The Case of the Higher School of Economics, Russia

• Yaroslav Kuzminov, Leonid Gokhberg, Konstantin Fursov, Stanislav Zaichenko, Dirk Meissner

Open Innovation Platforms Fostering the Co-creation and Value Creation in a Knowledge Triangle: The Case of Tampere, Finland

• Mika Raunio, Nadja Nordling, Mika Kautonen, Petri Räsänen

Knowledge Triangle Configurations at Three Swedish Universities

• Eugenia Perez Vico, Sylvia Schwaag Serger, Emily Wise, Mats Benner

Knowledge Triangle in the Health Sector: The Case of Three Health Faculties in Norway

• Siri Brorstad Borlaug, Siri Aanstad

Knowledge Triangle in Light of Science, Technology and Innovation Policy

Knowledge triangle governance in science, technology, and innovation policy.

• Leonid Gokhberg, Mikhail Gershman, Stanislav Zaichenko, Dirk Meissner

The Role of Knowledge Triangle Policies in Development of Science-Industry Links in the New EU Member States: The Case of Czech Universities

• Vladislav Čadil, Miroslav Kostić

Place-based Higher Education Policies in Austria

• Maximilian Unger, Daniel Wagner-Schuster, Wolfgang Polt
• Higher Eduction
• Innovation Policy
• Knowledge Triangle
• National Eduction Systems
• Technology and Innovation

About this book

Editors and affiliations.

Dirk Meissner, Leonid Gokhberg, Yaroslav Kuzminov

Mario Cervantes

Sylvia Schwaag Serger

About the editors

Dirk Meissner is distinguished professor at the National Research University Higher School of Economics and head of the Laboratory for Economics of Innovation at HSE. He is the academic head of the international master’s program “Governance Science, Technology and Innovation.” Dr. Meissner has more than 20 years’ experience in research and teaching technology and innovation management and policy. He has strong background in science, technology and innovation for policy making, and industrial management with special focus on innovation management, science, technology and innovation policies, funding of research, and priority setting. Prior to joining the HSE, Dirk was responsible for technology and innovation policy at the presidential office of the Swiss Science and Technology Council. Dirk also has long experience in top-level consulting to key decision makers in industry as a management consultant for technology and innovation management with Arthur D. Little. He is and wasmember of international working groups on technology and innovation policy. He represents the Russian Federation at the OECD Working Party on Technology and Innovation Policy.​ Dirk is associate editor of Technological Forecasting and Social Change , IEEE Transactions on Engineering Management , and Journal of Intellectual Capital .

Leonid Gokhberg is first vice rector of the National Research University Higher School of Economics (HSE) in Moscow, Russia, and director of the HSE Institute for Statistical Studies and Economics of Knowledge. He has coordinated dozens of research projects in the areas of science, technology, and innovation indicators, foresight, and policies, e.g., those sponsored by public authorities, businesses, and international organizations. Prof. Gokhberg is editor-in-chief of the scientific journal Foresight and STI Governance; editor of the Springer Nature academic book series Science, Technology, and Innovation Studies; editorial board member at Technological Forecasting and Social Change , Technovation , Futures , and Foresight (Emerald); and member of the OECD working groups, International Advisory Board of the Global Innovation Index (WIPO/INSEAD), and several other national and international high-level advisory bodies on S&T foresight and policies. He authored over 300 papers published in peer-reviewed journals, several monographs, and university textbooks. He holds Ph.D. and D. Sc. degrees in economics. 

Prof. Yaroslav Kuzminov is rector of the National Research University Higher School of Economics (HSE) in Moscow, Russian Federation. He is academic supervisor of the HSE Centre for Institutional Studies (CInSt) and Higher Education Studies Centre at the HSE Institute of Education.

Prof. Kuzminov is the editor-in-chief of the journal Voprosy Obrazovania (Educational Studies) and member of the editorial boards at the HSE EconomicJournal , Foresight and STI Governance , and Mir Rossii (World of Russia). He authored more than 100 academic works published in Russia and abroad, and co-authored over 10 monographs and textbooks. He graduated in economics from Moscow State University named after Lomonosov. He holds a Ph.D. degree in Economics. In 1992, Yaroslav Kuzminov and Prof. Evgeny Yasin came forward with the project of a modern-type university, which evolved towards a globally recognized HSE University enjoying several top-100 positions in the global university rankings.

Mario Cervantes is senior economist in the Science and Technology Policy Division, Directorate for Science, Technology and Industry, OECD – Organisation for Economic Co-operation and Development, Paris, France.

Sylvia Schwaag Serger is professor of research policy at the University of Lund. She holds a Ph.D. in economic history from the London School of Economics and Political Science (LSE). She also has a master’s degree in international relations from the Paul H. Nitze School of Advanced International Studies at the Johns Hopkins University (SAIS). She has worked extensively with innovation policy and innovation system analysis, both in the Swedish and International context. Her current research focuses on policies for transformation and resilience, and on science, higher education, and international relations. She spent 10 years working as the executive director for international strategy and networks at the Swedish Government Agency for Innovation (Vinnova). From 2018 to 2020, she was deputy vice chancellor of the University of Lund.

Bibliographic Information

Book Title : The Knowledge Triangle

Book Subtitle : Changing Higher Education and Research Management Paradigms

Editors : Dirk Meissner, Leonid Gokhberg, Yaroslav Kuzminov, Mario Cervantes, Sylvia Schwaag Serger

Series Title : Science, Technology and Innovation Studies

DOI : https://doi.org/10.1007/978-3-030-81346-8

Publisher : Springer Cham

eBook Packages : Economics and Finance , Economics and Finance (R0)

Copyright Information : Springer Nature Switzerland AG 2021

Hardcover ISBN : 978-3-030-81345-1 Published: 04 December 2021

Softcover ISBN : 978-3-030-81348-2 Published: 05 December 2022

eBook ISBN : 978-3-030-81346-8 Published: 02 December 2021

Series ISSN : 2570-1509

Series E-ISSN : 2570-1517

Edition Number : 1

Number of Pages : XIII, 314

Number of Illustrations : 11 b/w illustrations, 59 illustrations in colour

Topics : R & D/Technology Policy , Higher Education , Public Policy , Education Economics

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Computer Science > Computation and Language

Title: what does the knowledge neuron thesis have to do with knowledge.

Abstract: We reassess the Knowledge Neuron (KN) Thesis: an interpretation of the mechanism underlying the ability of large language models to recall facts from a training corpus. This nascent thesis proposes that facts are recalled from the training corpus through the MLP weights in a manner resembling key-value memory, implying in effect that "knowledge" is stored in the network. Furthermore, by modifying the MLP modules, one can control the language model's generation of factual information. The plausibility of the KN thesis has been demonstrated by the success of KN-inspired model editing methods (Dai et al., 2022; Meng et al., 2022). We find that this thesis is, at best, an oversimplification. Not only have we found that we can edit the expression of certain linguistic phenomena using the same model editing methods but, through a more comprehensive evaluation, we have found that the KN thesis does not adequately explain the process of factual expression. While it is possible to argue that the MLP weights store complex patterns that are interpretable both syntactically and semantically, these patterns do not constitute "knowledge." To gain a more comprehensive understanding of the knowledge representation process, we must look beyond the MLP weights and explore recent models' complex layer structures and attention mechanisms.

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