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Role-taking is a basic social process underpinning much of the structural social psychology paradigm – a paradigm built on empirical studies of human interaction. Yet today, our social worlds are occupied by bots, voice assistants, decision aids, and other machinic entities collectively referred to as artificial intelligence (AI). The integration of AI into daily life presents both challenges and opportunities for social psychologists. Through a vignette study, the authors investigate role-taking and gender in human-AI relations.

Participants read a first-person narrative attributed to either a human or AI, with varied gender presentation based on a feminine or masculine first name. Participants then infer the narrator's thoughts and feelings and report on their own emotions, producing indicators of cognitive and affective role-taking. The authors supplement results with qualitative analysis from two open-ended survey questions.

Participants score higher on role-taking measures when the narrator is human versus AI. However, gender dynamics differ between human and AI conditions. When the text is attributed to a human, masculinized narrators elicit stronger role-taking responses than their feminized counterparts, and women participants score higher on role-taking measures than men. This aligns with prior research on gender, status, and role-taking variation. When the text is attributed to an AI, results deviate from established findings and in some cases, reverse.

This first study of human-AI role-taking tests the scope of key theoretical tenets and sets a foundation for addressing group processes in a newly emergent form.

Organizational researchers studying well-being – as well as organizations themselves – often place much of the burden on employees to manage and preserve their own well-being. Missing from this discussion is how – from a human resources management (HRM) perspective – organizations and managers can directly and positively shape the well-being of their employees. The authors use this review to paint a picture of what organizations could be like if they valued people holistically and embraced the full experience of employees’ lives to promote well-being at work. In so doing, the authors tackle five challenges that managers may have to help their employees navigate, but to date have received more limited empirical and theoretical attention from an HRM perspective: (1) recovery at work; (2) women’s health; (3) concealable stigmas; (4) caregiving; and (5) coping with socio-environmental jolts. In each section, the authors highlight how past research has treated managerial or organizational support on these topics, and pave the way for where research needs to advance from an HRM perspective. The authors conclude with ideas for tackling these issues methodologically and analytically, highlighting ways to recruit and support more vulnerable samples that are encapsulated within these topics, as well as analytic approaches to study employee experiences more holistically. In sum, this review represents a call for organizations to now – more than ever – build thriving organizations.

This chapter aims to list the literature that document the role of hospitality industry achieving Sustainable Development Goals (SDGs), and to summarize those contributions, related to the literature. Extensive literature review was also conducted to explore a critical analysis of sustainable digitalization of the hospitality industry.

The article has undertaken a systematic literature review of all the significant research area of almost last two decades. Keyword searches were performed in Google Scholar search engine, where timeframe of “2001–2023” was used to filter the desired article. Total 141 research articles were primarily identified after the initial search. After screening the articles for relevance or duplicates, finally 107 articles were considered for this study.

This study figures out those environment-related SDGs which is considered essential for the hospitality industry. This study found the importance of adopting digitalization in hospitality sector to build inclusive environment and providing seamless experience to customers while focusing on both positive and negative aspects associated with digital transformation.

Hospitality industry of numerous countries around the world are now exploring by implementing SDGs and Digitalization in their business practices. This study will provide insight to policymakers as development and usage of digital technologies and implementing SDGs in their practices are crucial for the sustainable transformation of hospitality industry. Sustainable transformation of hospitality sector not only improves services and helps us to make wiser choices when planning for a trip but also positively impact both physical and psychological well-being.

The way organizational actors use language to think about and communicate their organizational experiences is central to how organizational actors enact organizational paradox. However, most inquiries into the role of language in the organizational paradox literature has focused on specific components of language (e.g., discourse), without attention to the complex, multi-level linguistic system that is interconnected to organizational processes. In this chapter, we expand our knowledge of the role of language by integrating paradox research with research from the linguistics discipline. We identify a series of linguistic tensions (i.e., generalizability-specificity, universalism-particularism, and explicitness-implicitness) that are nested within organizational paradoxes. In the process, we reveal how the organizing paradox of control and autonomy is interconnected to other paradoxes (i.e., performing, learning, and belonging) through the instantiation of linguistic paradoxes. We discuss the implications of our findings for research on paradox and language.

To summarize and build on research that explores the influence of culture on team dynamics, particularly over time. Specifically, we explore culture and teams from a dynamic perspective by providing a framework for understanding both how culture influences team dynamics over time, and where interventions should be targeted at different points to maximize the potential benefits of cultural diversity.

Drawing from a prominent model of team development (Kozlowski, Gully, Nason, & Smith, 1999), we provide mechanisms through which culture exerts an influence, as well as the practical approaches that will be best suited for mitigating potential negative effects at different points in time.

We focus on the following phases: team formation, task compilation, role compilation, team compilation, as well as team maintenance. At first, surface-level characteristics and subgroup formation should be closely monitored along with interventions to develop a group identity when teams are being formed. Later on, emergent states (e.g., trust, conflict) can come to the forefront as team members can develop multiple memberships or yet be resistant to performing in an adaptive manner.

We identify key avenues for future research to serve as a foundation for those studying the cultural diversity within teams via temporal lens, including the role of context and going beyond Hofstede’s cultural dimensions.

Albeit research has started to accumulate regarding how culture influences teams through conflict, communication, trust, cohesion, and creativity, this chapter goes beyond current development to address when different cultural elements influence team dynamics.

The body of scholarship on YouTube is an expanding area of scholarly inquiry. Existent research indicates that music videos are one of the most salient features of YouTube. Interactionist research about popular music has provided important insights through interviews with fans and audience members; however, this work has yet to examine audience engagement with music videos on YouTube. Using Qualitative Media Analysis, I illustrate how the researcher of popular music can work with user comments collected from YouTube. Thematic understandings largely consistent with nostalgia that emerged from an analysis of user-generated comments in response to selected music videos on YouTube are explored. I conclude by suggesting some directions for future research.