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This paper describes the development of a knowledge management framework for the “new product introduction process” of Motorola. Motorola operates in a very dynamic business with short product cycles, and has a clear need, therefore, to leverage the knowledge available worldwide. After developing a theoretical framework that reflected Motorola’s business processes, a large‐scale survey among workers at different locations in the world was conducted. The survey results were used for the design of a knowledge management framework, which supports sharing of various types of knowledge on different business levels.

A recent study reported that businesses with good knowledge management (KM) clearly outperformed those without it. The authors of the study – Kluger et al. – were able to grasp the intangible benefits of sound knowledge management, relate them to business results and conclude that KM indeed stimulates the performance of an organization.

This chapter adopts a functional perspective of affect to organize, discuss, and synthesize the chapters of this volume. According to functional accounts of affect, emotions and moods help groups to solve their most important problems – problems such as maintaining cohesion, allocating roles and responsibilities among group members, facilitating clear intragroup communication, motivating selflessness, and coordinating collective action. The chapters of this volume are diverse in focus, yet they all extend our understanding of how and when affective phenomena help groups to solve these problems, and when they fail to do so. At the same time, they point to new and exciting directions for future research on the functions and dysfunctions of affect in groups.

Professional touching behavior (PTB), defined as intentional touching behavior that occurs between organizational members and that falls within the boundaries of appropriateness and professionalism in the workplace, is prevalent in organizations. Scholars from multiple disciplines, including human resources researchers, have acknowledged the importance of physical contact for facilitating interpersonal communication and relationship-building. However, PTB may not only elicit positive reactions from those who receive it but also negative reactions as well, with implications for social dynamics in organizations. PTB can, on the one hand, fulfill employees’ desires for interpersonal connection; at the same time, such physical contact at work can represent a threat to employees’ health. To explain the nature and implications of these divergent effects of receiving PTB, the authors draw upon sociometer theory and behavioral immune system (BIS) theory to model the emotional, cognitive, and physiological processes via which, and the conditions under which, receiving such behavior will result in socially functional responses and prompt subsequent prosocial behavior, and when PTB will be perceived as a health risk and prompt withdrawal behavior. The theoretical framework of this chapter expands our conceptual understanding of the consequences of interpersonal physical contact at work and has important human resources management (HRM) implications for organizational managers.

This paper aims to develop an integrative framework explaining how infectious disease cues influence consumer behavior by connecting evolutionary psychology and behavioral immune system literature with consumer research.

The paper synthesizes pathogen-avoidance psychology and consumer behavior research to identify three psychological changes (affect, cognition, motivation) influencing consumer responses, developing theoretical propositions across five domains while identifying boundary conditions.

Disease cues trigger changes in affect (disgust, anxiety), cognition (narrowed attention) and motivation (self-protection). These influence consumer responses across self-regulation, social behavior/identity, information processing, evaluation and prosocial/sustainable behaviors. The framework identifies boundary conditions moderating these effects.

The framework advances understanding of disease threats’ influence on consumer behavior and suggests future research directions, including contextual effects and individual differences.

The framework helps marketers predict consumer responses to disease cues, offering insights for marketing strategies during health crises and normal times.

To the best of the author’s knowledge, this paper provides the first comprehensive framework explaining disease cues’ systematic influence on consumer behavior through psychological changes, extending behavioral immune system theory into consumer domains.

The authors' paper aims to deal with the question whether speculative bubbles are present in agricultural commodity prices.

The authors apply a regime switching regression model to test the hypothesis that agricultural prices contain periodically collapsing bubbles. Using daily futures prices for six agricultural commodities, the authors calculate net convenience yields from which price fundamentals are derived.

The authors discover pronounced deviations between observed prices and their fundamental values. However, they do not find evidence for the presence of periodically and partially collapsing speculative bubbles for five of six commodities. Except for soybeans, the signs and the significance of the estimated coefficients are not entirely in line with the predictions of the theoretical model.

The authors' study adds to the heated discussion on the impact of speculative behavior on agricultural commodity prices. So far, most contributions in the literature either use theoretical arguments for the (non‐) existence of bubbles or apply indirect tests which are plagued by low statistical reliability. In contrast, the authors apply a direct test. They find that the outcome of empirical bubble tests depends on the considered bubble type and on the testing procedure. In view of these ambiguities, definite statements on the presence of speculative bubbles as well as demands for limitations of speculative positions in commodity futures markets should be carefully reconsidered.

Parental job loss has been shown to have a negative impact on a large number of children's outcomes, in particular for low-income children. Given the amount of time freed up by loss of employment and the fact that active time with one's children appears to be a productive input in their human capital production function, increases in the time parents spend with their children have the potential to positively impact a child or to counteract other negative consequences of parental job loss. This chapter studies how low- and higher-income parents change their time investment in their children when faced with job loss. Using national time-diary data from the American Time Use Survey (ATUS) linked to longitudinal labor market data from the Current Population Survey (CPS), I find that parents spend almost 15% of the time freed up by job loss – roughly 3.5 additional hours per week – actively with their children. Low-income parents invest their freed-up time no differently from higher-income parents. While mothers who lose their job respond by spending more time actively with their children, this adjustment is much smaller for fathers. This suggests that differential adjustments in time investment may play a role in the impact maternal versus paternal job loss has on children's outcomes.

During 2016–2020, the number of high school students enrolled at Georgia postsecondary institutions increased by over 110% and public spending on dual enrollment more than doubled (Georgia Student Finance Commission, 2020). Benefits to dual enrollment students include improved college performance and shorter time to graduation (An and Taylor, 2015; Blankenberger et al., 2017), which translates into significant tuition cost savings and higher potential wages (Partridge et al., 2020). In light of these economic benefits, this paper examines the subject-taking patterns of dual enrollment students and factors associated with successful outcomes.

The authors analyzed longitudinal records of 1,931 dual enrollees at a public, four-year institution in metro-Atlanta during and between the 2015–16 and 2018–19 academic years. They performed a descriptive analysis, partial least squares structural equation modeling and regression analysis to examine the relationships between subject enrollment patterns, academic success and student demographics.

Female students fair better academically as dual enrollees than male students. Black students enroll in fewer and less varied courses. The same is true for students from more affluent neighborhoods, who may feel less need to take advantage of dual enrollment as a pathway to collegiate success. Neighborhood affluency does not appear related to dual enrollment success. Younger dual enrollment students, unsurprisingly complete more courses but do no better or worse academically in the average course. Some academic subjects are much more strongly related to the longevity of a student's dual enrollment than others.

There is limited published research on specific subject-taking patterns and success for dual enrollment students.