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Today's marketing is dominated by decision-making based on artificial intelligence and machine learning. This study focuses on one semi- and unsupervised machine learning technique, generative adversarial networks (GANs). GANs are a type of deep learning architecture capable of generating new data similar to the training data that were used to train it, and thus, it is designed to learn a generative model that can produce new samples. GANs have been used in multiple marketing areas, especially in creating images and video and providing customized consumer contents. Through providing a holistic picture of GANs, including its advantage, disadvantage, ethical considerations, and its current application, the study attempts to provide business some strategical orientations, including formulating strong marketing positioning, creating consumer lifetime values, and delivering desired marketing tactics in product, promotion, pricing, and distribution channel. Through using GANs, marketers will create unique experiences for consumers, build strategic focus, and gain competitive advantages. This study is an original endeavor in discussing GANs in marketing, offering fresh insights in this research topic.

While the use of computerized decision aids in accounting is widespread, little is known about the effects of decision aids on accounting decision making. However, prior research has often noted the difficulty in getting users to accept and rely upon decision aids (Rose, 2002). A primary area of focus in the design of decision aids that will facilitate user acceptance and reliance has been the development of user-centered interfaces that increase the user's comfort with the aid. This study contributes to this body of research by extending the findings of Ryan, Mims, and Koestner (1983) on the use of informational versus controlling rewards to the context of a decision aid and the interface design. While Ryan et al. focused on the effects of verbal feedback on intrinsic motivation, this study focuses on the impact of text-based feedback from a decision aid on decision performance for a choice task. Additionally, this study examines the effect of task-contingent versus performance-contingent rewards on the impact of the decision aid feedback. The results indicate a differential effect from that of Ryan et al. (1983) when feedback is provided through a decision aid and the focus is on decision performance rather than the precursor condition of intrinsic motivation. Additional research is needed to help explain why the findings obtained by Ryan et al. do not hold in the context of computerized decision aid use when decision performance is measured directly. There are important implications of these findings both in terms of theory development and decision aid design in professional decision-making environments such as accounting.

To identify research work on Information and Communication Technology (ICT) in the context of young girls’ affective responses to access and use of ICT in developing countries.

A literature search covering the period from early 1990s to date in fields of information science, human–computer interaction, ICT, and educational technologies was performed using relevant databases and Google Scholar. Related literature in the context of specific theoretical frameworks was retrieved and analyzed.

Abundant research exists on ICT in developing countries. However, little empirical work was found on young girls’ affective responses to access and use of ICT. The gendered digital divide in relation to ICT showed differing perspectives on this issue. Generally, affective information behavior is much less observed in empirical research than the cognitive behavior, regardless of age, gender, or culture.

Young girls’ affective responses to access and use of ICT in these countries warrant additional research in this area of study. Findings from research on youth information behavior in Western countries may have little or no bearings on youth in developing countries. The study of young girls’ access and use of ICT in developing countries should account for cultural, socioeconomic, and institutional differences among countries and between societies or communities in a given developing country.

Minimal research exists on young girls’ affective responses to accessing and using ICT in developing countries. The literature review covered in this chapter is grounded in theoretical frameworks derived from varied disciplines, including the field of library and information science.

Work design has largely overlooked cognitive–emotional interactions in understanding employee motivation and satisfaction. My aim in this chapter is to develop a conceptual model that integrates what we know about these interactions from research on emotions and neuroscience with traditional and emergent work design perspectives. I propose that striving for universal goals influences how a person responds to the work characteristics, such that an event that is personally relevant or “self-referential” will elicit an emotional reaction that must be regulated for optimal performance, job satisfaction, and well-being. A Self-Referential Emotion Regulatory Model (SERM) of work design is presented.

The reported inquiry-based learning (IBL) study was designed in 2012–2013 for the highest achieving undergraduate students at a research-intensive university in the United Kingdom (U.K.). In 2005, the University received national funding from the U.K. Higher Education Academy (HEA) to develop an innovative model of IBL to be used in a multidisciplinary context (Tosey, 2006). As a consequence, IBL was an obvious tool when, in 2012, the authors set out to design learning interventions to improve the teamwork and leadership skills of high-attaining students. In the process of exploring the application of IBL to this task, the need to ensure the intervention allowed for development in the conative domain was considered important. Historically, IBL practice at the University had catered well for cognitive and affective learning but had not been focussed to develop conation. A conative-heavy element was therefore purposefully designed into the latest IBL intervention.

Historically, research in organizational behavior has denied and even denounced the presence and impact of emotions in the workplace. Today, after little more than 10 years of research on emotions in the workplace, organizational behavior scholars look to emotions as an important determinant of nearly every facet of workplace behavior. From interpersonal behavior, to team performance, and strategic decision-making in top management teams, researchers have argued that the role of emotions is fundamental to our understanding of these organizational processes. Research on emotions in the workplace has had a fast and furious growth, facilitated by a lack of critical reflection upon the limits of bounded emotionality as a framework for understanding individuals’ actions in organizations. It is undeniable that emotions influence some facets of organizational behavior. But the questions of interest in this chapter are, in which areas of organizational behavior do emotions play a critical role in the determination of individual and organizational outcomes and under what conditions?

Since its publication in 1996, Affective Events Theory (AET) has come to be regarded as the seminal explanation for structure, causes and consequences of affective experiences at work. AET does not, however, elucidate why, how, and when objects and events in the workplace trigger moods and emotions which in turn influence cognitive and behavioral outcomes. Consequently, AET does not yet provide us with a theoretical basis upon which to predict the way in which contextual, cognitive, motivational, or individual factors might moderate the impact of workplace events on affective states and subsequent behavior. In this chapter, we outline the central tenets of AET, and review a model of the processes underlying AET, with a view to understanding individual differences in the manifestation and consequences of affect in the workplace.