Management

Double degree with the University of Bologna, Italy

Globalisation, technological changes, environmental problems, social and political trends, financial crisis of the last decade brought a range of challenges for management science. KTU doctoral studies in Management analyse relevant and complex problems of management; the scientists of this field in Lithuania started thesis research in such areas as public administration, knowledge and awareness management, intellectual capital management, marketing and business (industrial) systems. Topics of the dissertation research of doctoral studies are closely related to fundamental and applied research conducted by the university’s scientists. Doctoral students of the management field have a possibility to attend the lectures by experienced foreign lecturers and complete internships at the highest level foreign scientific research centres.

Management program aims to develop qualified, responsible and promising researchers able to generate new knowledge contributing to management science development.

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Topic title	Possible scientific supervisors	Source of funding
Technology upgrading in digitalised global value chains: antecedents, capabilities and firm strategies	prof. dr. Monika PETRAITĖ	state non-funded	Research Topic Summary. The major aim of the research to explore the position, dynamics and determinants of the Baltic catching up countries and regions in the context of industrial and technology upgrading within the wider Europe and internationally, including firm, sector and macro level implications on business model innovation for sustainable social and economic growth within Industry 4.0. The expected results are based on the development of the new, theoretically relevant and empirically grounded understanding of the relationship between R&D, technology and economic growth and competitiveness. In the course of PhD 4 papers in high level journals shall be developed (Technology forecasting and social change, R&D management, Management decision and the like), and at least 2 international conference presentations.
Artificial intelligence for SME’s digital financial inclusion	prof. dr. Gerda ŽIGIENĖ	state non-funded
Impact of Artificial Intelligence based service innovations on consumer behaviour: role of consumer trust	prof. dr. Jūratė BANYTĖ	state non-funded
Implication of future creating technologies into HRM systems in accordance with the principles of sustainable human resource management	prof. dr. Asta SAVANEVIČIENĖ	state non-funded	Research Topic Summary. Globalization and rapid development of future creating technologies, such as Big Data, Artificial Intelligence (AI), virtual reality and robotics lead to major changes in society. Future creating technologies are advancing quickly, dramatically changing the nature of decision-making, performing the HRM practices and influencing the work relations and organizational culture. In addition it rises the ethical aspect of decision-making using future creating technologies. Moreover, many researchers emphasize technostress as a consequence because of intense future creating technologies’ use at work. Meanwhile the concept of “harm” stresses that human resource should be managed sustainably. The research will investigate how future creating technologies (virtual reality, artificial intelligence) can be integrated into human resource management in accordance with the principles of sustainable human resource management. Expected results. • Disclosed the extent and nature of future creating technologies (VR, AR, AI, etc.) in HRM • Revealed the social, mental and ethical tensions caused by the usage of future creating technologies in HRM.
AI-Driven Innovation Management	prof. dr. Maximilian Joachim Von Zedtwitz	state non-funded	Research Topic Summary. AI (artificial intelligence)-support tools have become accepted in management, driven by technological progress in AI systems and data collection & analytics. In the context of the management of new product development (NPD) and innovation, this dissertation investigates how AI systems can a) make meaningful contributions in human-centered domains, i.e. creativity, problem solving, and decision-making under complexity and uncertainty; b) initiate, improve and execute managerial processes in NPD in the earliest innovation stages. The project is carried out in collaboration with international partners in both academia and industry.
Human resource management role in developing sustainable organization in the context of digital transformation	doc. dr. Živilė STANKEVIČIŪTĖ	state non-funded	Research Topic Summary. Increasing interest in business sustainability in modern society is related to the growing pressure faced by organizations from customers, communities, non-governmental organizations and other stakeholders to become more responsible and to be more actively involved in the solution of social and environmental concerns (Podgorodnichenko et al., 2019). According to Elkington (1998), sustainable business organization is based on three principles: environmental integrity, social equity and economic prosperity, referred to as the Triple Bottom Line. Hereby, financial aspect is insufficient when it comes to explaining the long-term success of organizations (Dyllick and Hockerts, 2002). Recently, the number of organizations committed to sustainability has been growing (Podgorodnichenko et al., 2019). However, on the road to sustainability organizations face with some challenges, namely how sustainability might be integrated into the strategic management processes of organizations (Chams and Garcia-Blandon, 2019). Particularly, this concern becomes more relevant tackling the context of digital transformation when work design and employment are changing (Moniz and Krings, 2016; Schweer and Sahl, 2017; Dengler and Matthes, 2018; Webster and Ivanov, 2020). For detailed information please contact the supervisor of the topic.
The effects of affordances of digital technologies on process exploration and exploitation	prof. dr. Mantas VILKAS	state non-funded
Entrepreneurial firms’ responses to GVCs disruptions and other crises in the digital era: implications and strategies of resilience	prof. dr. Jurgita SEKLIUCKIENĖ	state non-funded

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Application procedure

Mandatory documents for admission:

Filled in application form (online on apply.ktu.edu)
Official legalised Bachelor’s and Master’s diplomas or a higher education degree equivalents and academic transcripts (translated into English or Lithuanian and notary verified)
Curriculum Vitae
Recommendations by two researchers of the relevant science field
A list of the research works (this list is submitted with full bibliographic description) along with copies of the research works (or a research paper on the topic (-s) consistent with the dissertation topic (-s) indicated in the candidate’s application, if a candidate does not have any research works)
A research proposal on the topic selected for admission
A copy of the passport personal data page, or a copy of the ID card
A copy of the receipt of the application fee payment (40 EUR for EU citizens, and 100 EUR for non-EU citizens)
A certificate issued by IELTS, TOEFL, CERF or any other competent institution within the last 2 years certifying the level of the English language if the candidate is not a graduate of the first or second cycle studies conducted in the English language

Participation in motivational interview (Kaunas University of Technology, K. Donelaičio g. 73, Kaunas, Lithuania or online)

Signing a study agreement (if invited to study)

Cycle	Third cycle
Language	Lithuanian, English
Duration	4 y.
Degree awarded	Doctor of Science Dvigubas laipsnis

Research experience Research experience in ten-point grading system (The evaluation of the research experience includes the candidate’s scientific publications or the research paper, other research experience, scientific qualifications, the compliance of the scientific publications and research experience with the topic of doctoral studies)	0,3
Weighted grade point average of the Master’s diploma supplement	0,3
Motivational interview, including evaluation of the knowledge of a foreign language	0,25
Recommendations by scientists	0,05
Research proposal on the selected topic for admission	0,1

Management

Research topics

Research Topic Summary.

Research Topic Summary.

Research Topic Summary.

Research Topic Summary.

Entry requirements

Minimum requirements

Application procedure

Selection criteria and their weighted coefficients

Study programme modules