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This systematic review aims to identify the key determinants of knowledge transfer (KT) activities among researchers.

This study systematically reviewed KT literature in academic settings from 1995–2023. The authors searched Web of Science and Scopus using predefined keywords, following PRISMA guidelines for screening and eligibility assessment. From 158 selected articles, the authors extracted data and conducted a descriptive analysis to map KT activities’ evolution. A narrative synthesis approach categorized determinants of researchers’ KT activities.

The systematic review findings revealed a general conceptual framework that categorizes the identified determinants of KT into four categories. At the individual level, the factors are related to the sociodemographic characteristics of the researcher (e.g. gender, age, experience), their psychological aspects (e.g. attitude, intrinsic motivation, intention) and personal characteristics (e.g. self-efficacy, communication skills). At the research team level, leadership style and team dynamics. At the organizational level, the findings emphasize university characteristics (e.g. size, structure and ranking), KT culture installed and university resources. At the inter-organizational level, the key determinants were funding sources, network strength and trust.

The studies included in our database were different in terms of contexts, country of the study, the disciplines of KT and the types of KT activities examined. This variety restricts the direct comparison of research findings thus the generalizability of our conclusions. Future research should focus on specific contexts, disciplines, countries or types of KT activities to provide generalizable findings.

A better understanding of all the factors influencing KT among university researchers is essential for several reasons. First, it will enable the government to develop effective policies to promote KT ecosystems. Second, universities can create strategies, policies and programs to support researchers’ engagement in KT activities. Finally, researchers can be more strategic in their KT efforts.

This systematic review contributes to the literature by providing a comprehensive conceptual framework that identifies KT determinants at different levels and fills a gap in the existing literature that only addresses specific aspects of KT determinants. This framework can be a theoretical reference for future empirical studies. Furthermore, it practically provides recommendations for different actors including, government, universities and researchers.

I am concerned with insights heterodox economics, and particularly the new institution economics, can offer regarding interactions between health emergencies and the airline industry. Air services not only facilitates the transmissions of diseases among humans, and between animals, but on the positive side, can expedite the movement of medicines and the transfer of those afflicted during pandemics and epidemics. They can serve to limit the outbreak of disease by providing “mercy flights” to regions poorly served by other modes. Significant challenge confronting carriers during a major event, however, often included immediate financial shocks as well as ensuring their operations do not contribute to the spread of disease. These economic challenges for both commercial carriers and public policymakers involve sources of finance for what is, in this context, a semi-public service as well as the extent to which airlines should retain standby capacity extending resilience to the air-service supply chain. Conventional neoclassical economics, while still at the center of analyzing many of these sorts of issues, has increasingly, because of its rigid assumption and poor forecasting record, been supplemented by heterodox economic thinking. This trend has been reinforced by progress in fields such as psychology. What I demonstrate is that heterodox economics, and especially the role of institutions, offers a more complete picture of the interactions between air transportation and the spread of disease.

This paper aims to provide new and valuable insights for organizations that have decided to implement Lean Six Sigma (LSS) as a strategy for continuous improvement in search of business excellence. This objective is achieved through statistically modeling the causal relationships between the critical success factors (CSFs) of LSS for a successful deployment of this strategy.

A statistically validated questionnaire was used to collect information from LSS practitioners in manufacturing industries located on Mexico’s northern border. Some hypotheses for relationships between LSS CSFs are developed theoretically first and empirically tested later using the structural equation modeling technique.

Proposed relationships between LSS CSFs have been demonstrated to be statistically significant, making clear that this implementation should always begin with a strong and decided participation and commitment of top management. Later, other CSFs must be activated and put into operation in a specified order to increase the probability of a successful implementation reflected in well-executed continuous improvement projects and achieving the expected benefits.

This paper proposes a structural model which has been statistically validated with information directly collected from skilled practitioners who have developed continuous improvement projects using the LSS methodology. Further, some relationships between LSS CSFs that, to the best of the author’s knowledge, had not been demonstrated empirically are now explored and verified in our work.

In this chapter, I will outline the labels of giftedness and underachievement and present the theoretical debates surrounding these labels. A historicist examination of these labels follows, highlighting how the gifted underachievement (GUA) label emerges through the negation of “giftedness.” Subsequently, I explore the concept of GUA and its negative connotations, stemming from the positive valuation inherent in the term “giftedness” and its implications for what is considered “normal.” This chapter also reviews perspectives on shifting the focus away from the individual within the current paradigm of labeling giftedness and explores insights from systemic thinking and symbolic interactionism (SI). The conclusion underscores the necessity of a symbolic interactionist perspective to address the gaps in research on the labeling of giftedness and underachievement. Finally, I propose a generic definition that can be used in GUA research in the light of SI.

The “VUCA world” is an environment characterized by unprecedented levels of volatility, uncertainty, complexity, and ambiguity (VUCA). In such a turbulent environment, corporate entrepreneurship is key for all businesses, especially family firms. Corporate entrepreneurship is a concept that enables innovation, growth, and competitive advantage over competitors. It is a driving force for organizations to make changes in their structures and operations to respond to changes by using the limited resources they have in the environments in which they operate and to reduce the negative effects of shortening product life cycles. Family firms, which have an important place in the economies of countries, are indispensable players in economic activities, they need to think more strategically, and innovative and have an entrepreneurial perspective in ensuring their adaptation for competitive and growth purposes. In this study, the relationship between the place of family firms in the VUCA world and corporate entrepreneurship was tried to be established, and the corporate entrepreneurship of family firms was examined in line with their corporate logic. For this purpose, the news on the corporate websites of seven family companies operating in Türkiye and included in the 2023 Family Business Index was analyzed by content analysis method. Data were coded with thematic coding and findings were revealed. Common types of logic in family firms are market logic and efficiency and savings logic, with a hybrid characteristic consisting of a combination of market logic and efficiency and savings logic.

This chapter explains the phenomenon of artificial intelligence (AI) powered by big data in technology and its contribution in knowledge-based marketing in B2B and its impact on rational decision-making in B2B marketing that affects business performance. This chapter is literature review prepared by compiling and reviewing previous literature, studies, articles, books and other sources related to the contribution of big data-enabled AI to B2B marketing. According to the information analysed, the findings show that big data supported by AI plays a significant role in creating user knowledge, external knowledge and customer knowledge, all of which are factors that significantly influence the ability of business-to-business marketers to make rational decisions that affect the performance of their companies. This chapter explains to them the phenomena of AI powered by big data and its effect on B2B marketing rational decision that will enhance company performance and its contribution on knowledge-based marketing in B2B. This chapter contributes to understanding main functions and interactions of AI system powered by big data and how such a system helps in B2B marketing by generating knowledge about customers, users and markets.

This paper aims to gain insights into the paradoxical tensions emerging from circular business model innovation (CBMI) and how to overcome them by developing a theoretical framework drawing on two theoretical streams: firstly, the paradox theory for shedding light on the often “invisible” contradictions generated by the implementation of circular economy (CE) principles in business model transformation; and secondly, the dynamic capability theory that can contribute to the investigation of how to manage these contradictions.

The study uses a longitudinal case study approach to gain an in-depth understanding of the transformation and challenges faced by an incumbent firm in adopting a circular business model. Qualitative research methods are used to explore the paradoxical tensions and dynamic capabilities involved in the process.

The study finds that incumbent firms face numerous challenges and paradoxical tensions in the CBMI process. These tensions arise from difficulties in implementing organizational changes, balancing competing priorities and managing conflicting goals. Dynamic capabilities are crucial in managing these tensions and facilitating the transition to a circular business model.

This paper contributes to the theoretical development of paradox theory by applying it to the new field of CBMI which is currently slightly investigated and responds to the call for studies looking at more fine-grained types of sustainable business models. The study adds to previous literature that how the firm handles paradoxes and tensions influences the pace and results of the process. If the firm becomes discouraged during the early stages of identifying new opportunities, the pace slows down, and the firm becomes hesitant to collaborate more with partners. Furthermore, the ability to capitalize on these opportunities is affected by these tensions and contradictions.

This paper contributes to the literature by empirically investigating the process of CBMI in incumbent firms. It fills the gap in existing research by examining the existence of paradoxical tensions in a real-life setting and exploring the role of dynamic capabilities in managing these tensions. The findings provide practical insights for firms seeking a transition towards a CE and highlight that the ability to sense the external context should be developed as the new business model entails a central role of external actors.

The Swedish International Development Cooperation Agency (SIDA) (2019) explicated there are four dimensions of poverty, and they include (1) resources, (2) opportunities and choice, (3) power and voice and (4) human security (e.g. violence issues and concerns). Contrastingly, Ellis (1984) postulated dimensions of poverty are social, economic, legal and political poverty. The Organisation for Economic Co-operation and Development (OECD) (2015) stated poverty is not always about income, indicating ‘income poverty’. Deprivation factors can be broad, but reported poor health, inadequate living standards and lack of education are dimensions of poverty (OECD, 2015). Also, according to the World Bank, the world's extremely poor are people who live on less than $1.90 USD per day (Beck et al., 2020). The $1.90 amount is at 2011 purchasing power parity levels. Additionally, the $1.90USD amount has decreased significantly over the last decades (Beck et al., 2020). Nevertheless, entrepreneurship, UN SDGs and technology can be strategies for sustainable alleviation of poverty and pandemic global economic recovery, in the 21st century.

This study aims to examine the impact of COVID-19 pandemics on subjective well-being (SWB) and mental health in Hungary, with a particular focus on the roles of socioeconomic and COVID-19-related factors in shaping these outcomes.

A cross-sectional online survey was conducted among 2,000 Hungarian adults from May 25 to June 8, 2021. The data was collected using standardized questionnaires, including the SWLS, GAD-7 and PHQ-9. Correlation analysis, one-way ANOVA and linear regression were used.

The study found significant anxiety (41.5%), depression (48.1%) and life dissatisfaction (41.9%) among 2,000 participants. Females reported higher anxiety and depression than males. Single individuals had the lowest life satisfaction. Higher income levels are correlated with greater life satisfaction. Quarantine and vaccination were linked to higher life satisfaction and lower psychological distress. The regression showed that older age, being married and higher income were linked to lower depression and anxiety. Severity of infection and quarantine increased both depression and anxiety. Infection reduced life satisfaction, but severe cases showed a slight improvement in satisfaction, highlighting complex health and well-being relationships.

The findings reveal complex relationships, including unexpected resilience in severe COVID-19 cases.

This study offers insights into the impact of the COVID-19 pandemic on SWB and mental health in Hungary. By analyzing socioeconomic, demographic and pandemic-related factors in a large sample, it highlights complex relationships between quarantine, infection severity, vaccination and well-being. The findings contribute to understanding how these factors influence mental health, informing targeted interventions during health crises.