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This study applies asymmetric rather than conventional symmetric analysis to advance theory in occupational psychology. The study applies systematic case-based analyses to model complex relations among conditions (i.e., configurations of high and low scores for variables) in terms of set memberships of managers. The study uses Boolean algebra to identify configurations (i.e., recipes) reflecting complex conditions sufficient for the occurrence of outcomes of interest (e.g., high versus low financial job stress, job strain, and job satisfaction). The study applies complexity theory tenets to offer a nuanced perspective concerning the occurrence of contrarian cases – for example, in identifying different cases (e.g., managers) with high membership scores in a variable (e.g., core self-evaluation) who have low job satisfaction scores and when different cases with low membership scores in the same variable have high job satisfaction. In a large-scale empirical study of managers (n = 928) in four (contextual) segments of the farm industry in New Zealand, this study tests the fit and predictive validities of set membership configurations for simple and complex antecedent conditions that indicate high/low core self-evaluations, job stress, and high/low job satisfaction. The findings support the conclusion that complexity theory in combination with configural analysis offers useful insights for explaining nuances in the causes and outcomes to high stress as well as low stress among farm managers. Some findings support and some are contrary to symmetric relationship findings (i.e., highly significant correlations that support main effect hypotheses).

This study examines the implementation of a community-level Sustainable Broadband Adoption Program (SBA) under the Broadband Technology Opportunities Program (BTOP), a national public policy program meant to expand broadband deployment and adoption under the American Recovery Act of 2009, and administered by the National Telecommunications and Information Administration (NTIA) at the U.S. Department of Commerce. The California Connects Program (CC) was administered by the Foundation for California Community Colleges (FCCC).

This chapter focuses on one part of CC’s efforts to expand broadband adoption among the most underserved Californians through collaboration with the Great Valley Center (GVC). CC-GVC provided basic computer and Internet classes to disconnected populations with low-literacy levels, and primarily in Spanish, through community-based organizations, public schools, public libraries, small businesses, and others in the Central Valley, an 18 county rural region with a high concentration of digital destitute populations. The program worked with under-resourced local community institutions with a range of poor technology resources and that operated under variable set of social, economic, political, and institutional conditions. Through inductive, process-oriented, and explanatory case study research, the structure, strategy, and training approach of CC was examined. Content and theme analysis of primary and secondary qualitative and quantitative data involving the program’s leadership, direct service providers, partners, participants, and nonparticipants was conducted. This involved a sample of 600 in-depth and short, structured and unstructured interviews and focus groups, archival and participant observation notes.

It was found that CC-GVC was able to meet uncertainty and operated with low institutional resources and paucity of linguistically appropriate teaching resources for new entrants through a flexible leadership approach that adapted to the social situation and was open to innovation. Community technology trainers were also able to engage those without or little direct experience with computers and with low-literacy levels with a linguistically appropriate and culturally sensitive step-by-step teaching approach that empowered and met people where they are. The author expands non-adoption models to include structural barriers in the analysis of the disconnected. It is argued that non-adoption is a result of evolving inequality processes fueled by poverty and under-resourced community development institutions and that teaching and learning is a social and institutional process that takes trust and time.

CC shows that even the most disadvantaged can be empowered to learn-to-learn to use computers and can begin to function online and gain benefit under the most extreme institutional and economic conditions, but it takes more time and resources than providers expected and the Recovery Act provided.

The ability to effectively engage in cross-cultural interactions is imperative for leaders in our increasingly globalized world. Those who possess certain key psychological resources are more likely to engage in cross-cultural interactions successfully. Psychological resources include cross-cultural hope, efficacy, resilience, and optimism, which together comprise cross-cultural psychological capital (CC PsyCap). Previous research has indicated that CC PsyCap predicts cultural competence, yet the pathways underlying this relationship remain unexplored. We examined the relationships among CC PsyCap, engagement in cross-cultural interactions, stress during cross-cultural interactions, and cultural competence. The hypothesized relationships were tested using a sample of 135 undergraduate students (76% female) participating in study abroad programs. Participants completed measures of cultural competence, CC PsyCap, engagement, and stress approximately one month into their study abroad. Structural equation modeling analyses indicate that CC PsyCap and stress influence cultural competence directly and indirectly through engagement level during cross-cultural interactions. Furthermore, the results suggest that CC PsyCap indirectly influences engagement through stress during cross-cultural interactions. We discuss the implications of these results for people preparing to enter cross-cultural environments.

Beyond the rhetoric of Nigeria's policymakers, there are multifaceted challenges threatening sustainable development (SD) in Nigeria under climate change (CC). To strengthen theory and practice, this chapter discusses SD under CC in Nigeria using SWOT analysis. The exploratory focus of this chapter made the qualitative research method, an interpretivist research paradigm, most appropriate. Data sourced from scholarly articles and other secondary resources were reviewed, integrated and synthesised using SWOT analysis. At the end of the SWOT analysis, four insights emerged. The strengths and opportunities of SD under CC include increased awareness and growing access to climate-friendly technologies, sustainable finance, climate-friendly agriculture, solar technologies and renewable energy solutions, among others. The weaknesses and threats include deforestation, unabated gas flaring, rising carbon emissions and exorbitant cost of climate-friendly technologies, among others. The chapter explicates the need for policymakers and regulatory agencies in Nigeria to consolidate the strengths, correct all weaknesses, harness opportunities and avert the looming threats of CC. The chapter contributes to the three themes of SD by affirming that CC comes with devastating consequences that evidently pose existential risks and threats to people, profits and the planet. Consequently, policymakers need to mobilise sufficient resources and capabilities for CC adaptation and mitigation to achieve SD in Nigeria.

The study aims to test prospect theory (PT) predictions in the cryptocurrency (CC) market. It proposes a new asset pricing model that explores the potential of prospect theory value (PTV) as a significant predictor of CC returns.

The study comprehensively analyses a large sample set of 1,629 CCs, representing more than 95% of the CC market. The study uses a portfolio analysis approach, employing univariate and bivariate sorting techniques with equal-weighted and value-weighted portfolios. The study also employs ordinary least squares (OLS) regression, panel data methods and quantile regression (QR) to estimate the models.

This study demonstrates an average inverse relationship between PTV and CC returns. However, this relationship exhibits asymmetry across different quantiles, indicating that investor reactions vary based on market conditions. Moreover, PTV provides more robust predictions for smaller CCs characterized by high volatility and illiquidity. Notably, the findings highlight the dominant role of the probability weighting (PW) component in PT for predicting CC behaviors, suggesting a preference for lottery-like characteristics among CC investors.

The study is one of the early studies on CC price dynamics from the PT perspective. The study is the first to apply a QR approach to analyze the cross-section of CCs using a PT-based asset pricing model. The results shed light on CC investors' decision-making processes and risk perception, offering valuable insights to regulators, policymakers and market participants. From a practical perspective, a trading strategy centered around the PTV effect can be implemented.

This chapter explains the added value of learning the EU via interactive academic teaching and focused training provided by experts and practitioners. The EUMedEA Crash Course (CC) is an intensive training course mixing teaching, research and expertise funded by the European Commission via the EUMedEA Jean Monnet Chair. It was held for three editions (2016–2018) at the University of Catania. Based upon studying and sharing the expertise on crisis at the EU Mediterranean borders, this intensive learning experience allowed young and senior researchers to interact in a qualified academic context by looking at the on-field activities of the experts directly involved in the crisis management, in Italy or in other Mediterranean countries. The selected topic – crises at the EU Mediterranean borders and migration in particular – has involved an international group of instructors and researchers who profited of the expertise of those who experience practices on the ground. The EUMedEA CC tried to bridge the gap between academia and experts by providing excellence teaching, focusing on a various range of crisis managers willing to share their everyday business. New crises require new actors, strategies and instruments, thus new analytical tools to understand new and old practices to address crises in the Mediterranean area are needed. In sum, by providing an innovative teaching based upon experience on the ground, this CC has brought the EU as a crisis manager closer to European (young) researchers.

The purpose of this paper is to examine perceived supervisory support (PSS) and the impact of the antecedents of sharing knowledge, namely, clan culture (CC) as well as trust in innovative work behavior (IWB).

This research focuses on small and medium-sized enterprise (SME) employees, especially SMEs located around tourist attractions in Indonesia. Data collection was carried out by distributing questionnaires. The distribution of the questionnaire was carried out in two ways, namely, the offline and online systems via the Google form. Data analysis tool using structural equation modeling.

The findings reveal that PSS, knowledge sharing (KS), CC as well as trust are positively related to IWB. In addition, it was also found that KS was proven to mediate CC relationships as well as the trust which had a positive relationship with IWB.

The research design uses cross-sectional data. This means that the measurement of variables is based on self-reports and is carried out at one time, which can lead to method bias that can affect the results of the study. Thus, further research is recommended to collect data longitudinally, which will make the findings stronger.

Theoretically, this study extends previous research by outlining a set of organizational elements that tend to influence KS behavior and their impact on IWB in the SMEs context.

Managers and owners of SMEs need to create a CC because the creation of a family or CC will more easily foster a culture of sharing knowledge within the organization, which will ultimately increase IWB.

This study emphasizes that it is not only internal factors within employees that can foster IWB but there are external factors that play an important role in increasing IWB, such as CC, PSS, trust and KS. And to the best of the authors’ knowledge, this is the first study to include all the constructs in one model and the context of SMEs.

The authors analyze the association between the functional background of the compensation committee chair and CEO compensation. The analysis is motivated by the continuing debate about the reasonableness of executive pay patterns and the growing emphasis on the role of compensation committees.

The authors define three expert categories—accounting, finance, and generalist—and collect data on the compensation committee (CC) chairs of the S&P 500 firms from 2008 to 2018. The authors run an ordinary least square model and regress CEO total and cash compensation on the three expert categories.

The authors find that firms in which the CC chair has expertise in accounting, finance, and general business favor performance measures that are more aligned with accounting, finance, and general business, respectively. There is little evidence that CC chairs who are CEOs of other firms endorse more generous pay for the host CEO; the authors find some evidence that CC chairs tenure relative to the host CEO's is negatively associated with the level of the CEO's pay.

This study suggests that firms and regulators should consider the background of the compensation committee chair to understand the variations in top executive.

Companies desiring to link executive compensation to particular areas of strategy must also consider matching the functional background of the compensation committee chair with the target strategy areas. From regulatory standpoint, requiring compensation committees to operate independent of inside directors can reduce attempts by inside directors to skim the process, but a failure to also consider the impact of compensation committees' discretion over the pay-setting process can distort the executives' pay-performance relation.

This is the first study to examine the effects of the functional background of the compensation committee chair on CEO compensation.

This paper aims at understanding the differences between user profiles in collaborative consumption (CC) platforms in order to improve their management approaches and set up customized strategies. Particularly, the authors investigate the emerging role of prosumers and their influence on the active participation and growth of CC platforms. Moreover, the authors study user experience to help promoting users' recommendation and offering intention.

The sample includes responses from 6,388 users of CC platforms across the EU. The data were collected through the European Commission's Flash Eurobarometer survey 467 and analyzed through a partial least squares structural equation modeling (PLS-SEM) and a fuzzy set qualitative comparative analysis (fsQCA).

The PLS-SEM findings suggest that prosumers are more likely than consumers to recommend and offer services through CC platforms. Furthermore, previous experience using platforms positively affects the switch from consumers to prosumers. The fsQCA suggests that only economic advantages affect the switchover decision.

This study deepens the hitherto unexplored prosumer role in CC platforms and its antecedents and drivers.

The main limitations concern the generalizability outside of the EU, the unbalanced coverage of sectors and the number of moderator variables.

Prosumers act as golden actors because they contribute to enlarge both the customer base (through recommendations) and the provider base (through offering intention). Hence, managers should focus on prosumers' experiences to increase the critical mass and positive externalities of CC platforms.

This study helps understand the importance of the role of prosumers in the growth of CC platforms. The study provides more robust results through a cross-country and mixed-method research.

This study aims to investigate different types of platform providers (PPs) to gain a deeper understanding of the characteristics and underlying logic of this group within collaborative consumption (CC). As CC occurs with three groups of actors (PP, peer service provider and customer) and is predominantly viewed from the customer perspective, this study offers insights from the under-researched PP perspective.

This research applies a multiple case study approach and analyzes descriptively and thematically 92 cases of CC PPs gathered through the Crunchbase database.

The authors derive four archetypes of CC PPs, namely, the hedonist, functionalist, environmentalist and connector, that differ in their offered values, dominating motives and activities across industries.

The authors conceptualize CC by clearly describing the four archetypes and their characteristics. However, further research would benefit from including databases other than Crunchbase.

PPs need to understand their value offerings and customer preferences to develop convincing value propositions and offer engaging activities. PPs would benefit from a more active social media presence to build strong relations with customers and peer service providers to effectively communicate their values.

The paper is pioneering as it encompasses the perspective of CC PPs and operationalizes the concept of CC. The authors address the lack of research on CC by conducting an extensive case study.