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Institutional framings of doctoral education mostly do not recognize the existential dimension of doctoral experience. This paper aims to offer an expanded understanding of experiences of doctoral researchers in the humanities with the concept of entangled becoming. This concept is developed through an existential lens by using Søren Kierkegaard’s philosophy – particularly his emphasis on emotions such as passion, anxiety and despair – and Denise Batchelor’s derived concept of vulnerable voices.

The conceptual framing is used for an empirical study based on ethnographic interviews with 10 doctoral researchers and supplementary observational notes from fieldwork at a university in Denmark. Two of the interview cases were selected to showcase variation across lived experiences and how doctoral researchers voice their entangled becoming.

Common experiences such as loneliness, insecurity(ies), vulnerability(ies) or passion for one’s research were identified across the interviews. On the other hand, this study shows that each doctoral journey in the humanities envelops a distinct web of entanglements, entailing distinct navigation, that makes each case a unique story and each doctoral voice a specific one.

Combining an existential philosophical perspective with a qualitative study, the paper offers an alternative perspective for doctoral education. It connects the humanities doctoral experience to the broader condition of human existence and the sophisticated uniqueness of each researcher’s becoming.

Despite the popularity of the entrepreneurial ecosystem (EE) concept, research on its value-adding activities receives less attention. Thus, in this article, the authors investigate the role of EEs in supporting global value chain (GVC) activities.

The authors employ the fuzzy-set qualitative comparative analysis (fsQCA) technique to identify practical configurations of EE’s framework and systemic conditions spurring GVC activities in 80 countries.

The findings suggest different configurations of EE`s framework and systemic conditions necessary for various GVC activities regarding input-output structure, geographical scope, upgrading, and forward and backward participation.

This study contributes to the extant literature by pioneering the EE approach to explaining GVC development. Moreover, the findings provide novel insights for understanding the EE – GVC interplay. As a result, the study offers a more nuanced understanding of how the EE supports GVC activities.

Community-police relations have gained increasing public attention during the past decade. The purpose of the present study was to better understand the relationship between perceived community support and police officer burnout and engagement.

Data were gathered via online survey from 117 officers from a city police department in the Southeastern United States.

Community support was negatively correlated with burnout and positively correlated with engagement. Moreover, multiple regression analyses showed that community support explained significant incremental variance in most dimensions of burnout and engagement, above and beyond demographic factors and community stressors. Qualitative results showed that police officers had mixed perceptions of how they were viewed by the general public, with more negative than positive responses. However, officers felt more positively perceived in their own communities, but concerns were raised that national events affected the perceptions of officers even in positive relationships with their communities. Finally, officers felt that public perceptions impacted their job satisfaction, job performance and personal lives.

The results have practical implications for how to encourage positive interactions between officers and their community, with recommendations for both law enforcement leaders and civilians.

This study is one of the few that highlights the officers' perspective on how public perceptions affect their work. This is important in understanding how to maximize quality community interactions while minimizing conditions that would increase burnout.

This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.

The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.

The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.

This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.

The purpose of this paper is to continue and extend the ongoing conversation about greatness in American business.

This survey, conducted in 2021, replicates and extends McCormick and Folsom’s 2001 and 2011 rankings of the greatest entrepreneurs and businesspeople in American history. The authors’ pool surveyed 51 experts to develop an updated ranking and explore factors of greatness.

Henry Ford topped the ranking followed by John D. Rockefeller and Steve Jobs. Business scholars ranked Oprah Winfrey the greatest female and minority businessperson.

The authors extend previous research by surveying the authors’ expert pool about factors of greatness in American business history. “Ability to imagine or envision the future” ranked highest with “created wealth for shareholders” in last place.

This chapter shares the experiences of two graduate students as they navigated higher education during the pandemic. Engaging in graduate study during the pandemic shaped their socialisation experiences, challenged their understanding of themselves as scholars and impacted their relationships with mentors. This chapter shares personal reflections of their experiences and explores their sense of professional identity and aspirations for the future.

Artificial intelligence and augmented reality are two key tools gaining importance in the digital era due to their wide range of applications in different fields and sectors. Industry 4.0 lays emphasis principally on the technology used to help the business remain competitive and sustainable. Sustainable development goals are another important objective of the UN which has laid responsibility for every business to support addressing the global challenges. Purpose: This chapter essentially aims to present the standpoint of artificial intelligence and augmented reality in meeting the sustainability perspective of organizations. Information about the study is gathered through secondary approaches, critically reviewing published literature, scientific reports, and statistical data accessible through business reports, and corporate websites. Further analyzed to present the perspectives of the authors in the study. Globally artificial intelligence market size is predicted to reach $190 billion by 2025, while the funding for startups doubled during the period 2011–2020 globally. The investment in artificial intelligence is going to reach $500 by 2024 resulting in substantial revenue returns. The augmented reality market size could reach $97 billion by 2028. Artificial intelligence today is increasingly used in many fields and is attracting multiple applications in many sectors such as manufacturing, retail, education, IT, and health care and has also contributed to sustainable development the same time by providing energy conservation options, optimization, and reduction of resources, minimizing wastage, offering timely assistance on maintenance schedules, practices which are enabling organizations to reach closer to sustainability and transformation.

This study aims to explain the model of impulsive purchase behavior in the Islamic Republic of Iran’s tourism industry.

This study uses the inductive–deductive approach for data collection. Field (interviews) and library (articles, books and theses) methods have been used for data collection. After determining the research variables, content analysis units (theme, category and markers) are specified. Academic experts and professionals in the subject area helped during the model design stage.

The results reveal 14 visual attention variables which are classified into four categories: attractiveness in the market, emotional reactions, improving the shopping style of tourists and visual advertising.

This study focuses only on Iran. There is scope to expand the discussion with more interviews. The impact of the COVID-19 pandemic on tourism presented some unique challenges in participant recruitment. Future studies could focus on other Middle Eastern countries or other international areas. Moreover, future researchers could analyze other variables affecting impulsive purchase.

No other studies on tourism industry marketing have recognized the effective variables in impulsive purchase. To fill this gap, this paper explains the visual attention model in tourists’ impulsive purchase behavior.