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The literature has shown great interest in open innovation (OI), and also discussed its degree of openness based on, for example, the number of parties involved. Less is known, however, about what makes OI processes work. The purpose of this paper is to describe and discuss the importance of trust in OI, and the paper specifically focusses on a start-up company’s OI processes with collaboration parties. The paper points out how a lack of trust antecedents may disable such OI processes.

The empirical part of the paper consists of a case study on a medicine technology start-up. Interviews and analyses of secondary sources made up the main data capturing methods. Each collaboration between the start-up and another party is analysed through three trust antecedents: contractual, competence based, and goodwill.

The paper shows how either party may have chosen to discontinue the collaboration, based on the lack of competence or goodwill antecedents to trust. Specifically, the case indicates how the start-up discontinues the collaboration based on a perceived lack of goodwill, while the collaboration party bases its decision on competence deficits by the start-up.

The paper contributes to previous research through describing OI related to start-ups, and introducing trust antecedents as prerequisites for OI. To the literature on trust, trust mutuality makes a research contribution.

The study aims to examine the development of student venture creation in a co-curricular business model lab initiative with collaboration between students, researchers, technology transfer offices (TTO) and industry. It presents a fresh approach to the study of student venture creation by discussing a unique co-curricular case, its embeddedness in a network and drawing on the concept of tension.

A qualitative, case-based research design is applied containing data from interviews, observations and active participation.

The findings point to the inherent difficulties in managing and organizing student venture creation and networks surrounding the student venture creation in a co-curricular setting that can lead to several different types of tensions. Episodes where task-, role-, process-, affective- and value-related tensions arise are identified. Furthermore, the findings highlight that affective-related tension is often an outcome of other types of tensions.

Our theoretical implications point to the importance of the context of student venture creation, but not only regarding curricular and co-curricular initiatives; depending on the context, such as if student surrogate entrepreneurship is used, different types of support structure might also be needed to enable student venture creation.

Research on the entrepreneurial university has mainly focused on entrepreneurship education and ventures created by researchers. This study responds to recent calls for research on the venture creation of students. The limited research conducted on student venture creation can be divided between curricular and co-curricular initiatives. Our research points out that many other contextual factors are of importance, such as the origin of ideas, student surrogate entrepreneurship, industry collaboration, team formation and expectations.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

Organizational behavior scholars have long recognized the importance of a variety of emotion-related phenomena in everyday work life. Indeed, after three decades, the span of research on emotions in the workplace encompasses a wide variety of affective variables such as emotional climate, emotional labor, emotion regulation, positive and negative affect, empathy, and more recently, specific emotions. Emotions operate in complex ways across multiple levels of analysis (i.e., within-person, between-person, interpersonal, group, and organizational) to exert influence on work behavior and outcomes, but their linkages to human resource management (HRM) policies and practices have not always been explicit or well understood. This chapter offers a review and integration of the bourgeoning research on discrete positive and negative emotions, offering insights about why these emotions are relevant to HRM policies and practices. We review some of the dominant theories that have emerged out of functionalist perspectives on emotions, connecting these to a strategic HRM framework. We then define and describe four discrete positive and negative emotions (fear, pride, guilt, and interest) highlighting how they relate to five HRM practices: (1) selection, (2) training/learning, (3) performance management, (4) incentives/rewards, and (5) employee voice. Following this, we discuss the emotion perception and regulation implications of these and other discrete emotions for leaders and HRM managers. We conclude with some challenges associated with understanding discrete emotions in organizations as well as some opportunities and future directions for improving our appreciation and understanding of the role of discrete emotional experiences in HRM.

The study of group dynamics was central to the field of organization development at its inception. More recently, there has been a move away from considering irrational and unconscious dynamics in organizational life and more attention focused on rational and observable behavior that can be measured and quantified. We introduce the tool, Beneath the Surface of the Burke-Litwin Model, that invites consideration of how the overt behavior of individuals, groups, and entire systems is linked to covert dynamics. This more comprehensive view of organizational life provides scholar-practitioners with a systemic perspective, a view of covert dynamics by organizational level, and support for the ongoing development of one’s capacity for using self-as-instrument when engaged in organization development and organization change efforts.

This study provides a comprehensive framework of adaptation in triadic business relationship settings in the service sector. The framework is based on the industrial network approach (see, e.g., Axelsson & Easton, 1992; Håkansson & Snehota, 1995a). The study describes how adaptations initiate, how they progress, and what the outcomes of these adaptations are. Furthermore, the framework takes into account how adaptations spread in triadic relationship settings. The empirical context is corporate travel management, which is a chain of activities where an industrial enterprise, and its preferred travel agency and service supplier partners combine their resources. The scientific philosophy, on which the knowledge creation is based, is realist ontology. Epistemologically, the study relies on constructionist processes and interpretation. Case studies with in-depth interviews are the main source of data.

This chapter focuses on an important aspect of economic inequality – the question of how people perceive inequality and whether these perceptions deviate in any meaningful way from statistical measures of inequality. Using a novel approach, the author investigates whether individuals across different countries are able to correctly estimate the shape of income distribution of the country where they reside. The author further investigates whether individuals have the distribution of a particular reference group in mind when they answer questions on inequality. The author finds that perceptions of inequality are frequently shaped by reference groups such as those formed according to educational attainment, age, and gender.

By construction, income inequality measures employed in well-being analysis presume all individual differences to be deleterious to the social good. Yet some differences, for example, those acceptable to all and necessary for optimal resource allocation in producing that well-being, are demonstrably beneficial. Measured inequality is an amalgam of both deleterious or ‘Bad’ and beneficial or ‘Good’ differences, and from both policy and well-being measurement perspectives, distinguishing between types with measures fit for purpose makes sense, especially if the types are taking different paths. Here, as an exemplar, the distinction is explored in considering the progress of human resource, gender, and immigrant status-based personal income differences in twenty-first-century Canada. Categorising human resource-based differences as efficiency promoting ‘Good’ inequalities and gender and immigrant status-based differences as discriminatory and ‘Bad’ reveals that, under all proposed measures, while aggregate and ‘Good’ inequality grew over the sample period, ‘Bad’ inequality diminished, reinforcing the case for inequality measures that are fit for purpose.