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It is well recognized that emotions support adaptation to environmental demands by guiding cognitions and behavior in line with one’s implicit and explicit goals. This is true in the work context, as in other areas of life. Traditionally, however, research into emotion regulation within the work context has been centered on the problematic aspects of feeling and displaying emotion at work. In order to meet organizational goals, felt emotions need to be subdued or modified, and inauthentic emotions displayed. In this way, conceptualizations of work-related emotion regulation have disconnected emotion from its most basic and adaptive signal function. This disconnection has led to a dilemma regarding the real- and the fake-self and been associated with a range of negative consequences for employee health and well-being. Understanding how emotions can be regulated to help employees meet personal goals for growth and development has also been overlooked. In this chapter, we challenge this existing paradigm, and instead argue that examining emotion regulation in terms of its adaptive functions will help to unify disparate findings from within the emotion regulation literature and progress research in the field of emotion and emotion regulation at work.

Anthropomorphism in Artificial Intelligence (AI)-powered devices is being used increasingly frequently in consumer-facing situations (e.g., AI Assistants such as Alexa, virtual agents in websites, call/chat bots, etc.), and therefore, it is essential to understand anthropomorphism in AI both to understand consequences for consumers and to optimize firms' product development and marketing. Extant literature is fragmented across several domains and is limited in the marketing domain. In this review, we aim to bring together the insights from different fields and develop a parsimonious conceptual framework to guide future research in fields of marketing and consumer behavior.

We conduct a review of empirical articles published until November 2021 in Financial Times Top 50 (FT50) journals as well as in 41 additional journals selected across several disciplinary domains: computer science, robotics, psychology, marketing, and consumer behavior.

Based on literature review and synthesis, we propose a three-step guiding framework for future research and practice on AI anthropomorphism.

Our proposed conceptual framework informs marketing and consumer behavior domains with findings accumulated in other research domains, offers important directions for future research, and provides a parsimonious guide for marketing managers to optimally utilize anthropomorphism in AI to the benefit of both firms and consumers.

We contribute to the emerging literature on anthropomorphism in AI in three ways. First, we expedite the information flow between disciplines by integrating insights from different fields of inquiry. Second, based on our synthesis of literature, we offer a conceptual framework to organize the outcomes of AI anthropomorphism in a tidy and concise manner. Third, based on our review and conceptual framework, we offer key directions to guide future research endeavors.

Chester Whitney Wright (1879–1966) received his A.B. in 1901, A.M. in 1902 and Ph.D. in 1906, all from Harvard University. After teaching at Cornell University during 1906–1907, he taught at the University of Chicago from 1907 to 1944. Wright was the author of Economic History of the United States (1941, 1949); editor of Economic Problems of War and Its Aftermath (1942), to which he contributed a chapter on economic lessons from previous wars, and other chapters were authored by John U. Nef (war and the early industrial revolution) and by Frank H. Knight (the war and the crisis of individualism); and co-editor of Materials for the Study of Elementary Economics (1913). Wright’s Wool-Growing and the Tariff received the David Ames Wells Prize for 1907–1908, and was volume 5 in the Harvard Economic Studies. I am indebted to Holly Flynn for assistance in preparing Wright’s biography and in tracking down incomplete references; to Marianne Johnson in preparing many tables and charts; and to F. Taylor Ostrander, as usual, for help in transcribing and proofreading.

This chapter explores ways that tablet devices can be used to support the inclusion of students with disability in inclusive classrooms. A short description of the evidence of efficacy of using tablets to support students with disability is provided. Ways to use tablet devices to support students with disability in the areas of communication, academics, organisation and social emotional skills to support their inclusion in mainstream classrooms are addressed. Lastly, barriers to using tablets to support students with disability in inclusive classrooms are described and ways to remove these barriers are suggested.

This chapter presents the outcome of an empirical study titled ‘Knowledge Sharing and Transfer (KST) that Really Works: An exploration of KST in Sub-Saharan South African Public Sector Institutions’. Enablers of KST were explored through the lens of lived experiences of managers working at Gautrain Management Agency (GMA), a rail transport public sector operator in South Africa. Qualitative data were collected from 15 managers and analysed using Thematic and Trans Positional Cognition Approach (TPCA) qualitative analytical tools. Four themes, essential originating antecedent factors, complementary people enabling factors, organisational enabling factors and effective KST implementing factors emerged. Rahman’s KST model was adopted as a theoretical framework and used to better understand the study findings. The current study affirms two elements within the theoretical framework, namely, complementary people enabling factors and organisational enabling factors, while the remaining two, essential originating antecedent factors and effective KST implementing factors, were not affirmed. This study contributes a new KST framework that helps business managers understand KST from the South African public sector practitioners’ perspectives, which represents this study’s contribution to the business performance measurement body of knowledge and practice.