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The author argues and explains that the indigenous Eastern epistemological frame of yin-yang balancing can be taken as a unique system of thinking toward a meta-perspective. It is not only deeply rooted in the indigenous Eastern culture traditions, but also bears salient global implications, especially in the domain of paradox management. The purpose and contribution of this chapter are twofold: (1) to explain the unique and salient features of yin-yang balancing (the “either/and” system to reframe paradox into duality as partially conflicting and partially complementary, both spatially and temporarily) as compared with the Western logic systems (the “either/or” and “both/or” or “both/and” systems); and (2) to explore the global implications of the “either/and” system for future paradox research, including the three unique themes of overlap between opposites with the “seed” of one opposite inside the other; threshold from the contingent balance between partial separation and partial integration in line with specific contexts through three operating mechanisms, and knot for the special role of third-party to shift paradox from a dyadic level to a triadic and even a multiplex level.

Inhibitory control (IC) is a central executive function that shows significant development throughout the preschool years. IC is known as a factor that underlies the ability to self-regulate in daily situations. This ability is challenged when a child faces negative emotions; a challenge that is seen in children’s IC performance and brain activity. This chapter elaborates on the effects that negative emotional experiences have on children’s IC functioning. Moreover, previous studies regarding the way emotional experiences are reflected in brain activity are included. Additionally, this chapter will offer a comprehensive review of the factors affecting individual differences in IC, including the role of children’s temperamental effortful control and negative affectivity. Further, the role of parenting behaviors will be discussed, focusing on the way in which maternal self-regulation influences child inhibitory control, including related educational implications.

Drawing on the social cognitive theory, this study investigated the effect of mentors' drinking norms on their protégés' alcohol misuse by focusing on the mediating role of conformity drinking motives and the moderating role of moral disengagement. We conducted a three-wave survey of 148 mentor–protégé dyads and found that mentors' drinking norms were positively related to their protégés' alcohol misuse and that this relationship was fully mediated by conformity drinking motives. Moreover, the moderated mediation model revealed that moral engagement strengthens the main effects of mentors' drinking norms on conformity drinking motives and the indirect effects of mentors' drinking norms on protégés' alcohol misuse via enhanced conformity drinking motives. The theoretical and practical implications are discussed.

In this paper, we aim to provide a comprehensive overview of customer feedback literature, highlighting the burgeoning role of artificial intelligence (AI). Customer feedback has long been a valuable source of customer insights for businesses and market researchers. While previously survey focused, customer feedback in the digital age has evolved to be rich, interactive, multimodal, and virtually real time. Such explosion in feedback content has also been accompanied by a rapid development of AI and machine learning technologies that enable firms to understand and take advantage of these high-velocity data sources. Yet, some of the challenges with traditional surveys remain, such as self-selection concerns of who chooses to participate and what attributes they give feedback on. In addition, these new feedback channels face other unique challenges like review manipulation and herding effects due to their public and democratic nature. Thus, while the AI toolkit has revolutionized the area of customer feedback, extracting meaningful insights requires complementing it with the appropriate social science toolkit. We begin by touching upon conventional customer feedback research and chart its evolution through the years as the nature of available data and analysis tools develop. We conclude by providing recommendations for future questions that remain to be explored in this field.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.

For the islands of the Caribbean, tourism is more than an industry to be managed. Significantly, it is a socioeconomic phenomenon that if managed effectively can address some of the challenges facing the region. Tourism higher education plays a critical role in preparing graduates to shape an improved Caribbean tourism society and in performing research. Over the years, its tourism education has been framed by “Western models” that have not taken sufficient account of the Caribbean reality. The focus of this chapter is to define Caribbean education and to propose a tourism higher education strategy for the implementation in part of this education.

Professionals often dislike dirty work, yet they accommodate or even embrace it in everyday practice. This chapter problematizes Andrew Abbott’s professional purity thesis by examining five major forms of impurities in professional work, namely impurity in expertise, impurity in jurisdictions, impurity in clients, impurity in organizations, and impurity in politics. These impurities complicate the relationship between purity and status as some impurities may enhance professional status while others may jeopardize it, especially when the social origins of professionals are rapidly diversifying and professional work is increasingly intertwined with the logics of market and bureaucracy. Taking impurities seriously can help the sociology of professions move beyond the idealistic image of an independent, disinterested professional detached from human emotions, turf battles, client influence, and organizational or political forces and towards a more pragmatic understanding of professional work, expertise, ethics and the nature of professionalism.