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Research reports a positive relationship between parental rejection and antisocial behavior in adolescents and young adults. Studies also report a positive association between testosterone and antisocial behavior. The purpose of this paper is to examine whether testosterone moderates the influence of parental rejection on antisocial behavior in a sample of young adults.

The current study analyzed a sample of undergraduate students (N=322) to examine the interaction between testosterone and parental rejection in the prediction of antisocial behavior. Multivariate ordinary least squares (OLS) regression was used to explore this association.

Results from OLS regression models revealed that parental rejection and testosterone were independently associated with antisocial behavior and that the effect of parental rejection on antisocial behavior was stronger at higher levels of testosterone.

This current study is the first to examine how testosterone conditions the influence of parental rejection on antisocial behavior in young adults. Findings from the study add to the growing body of literature examining the interplay between biological and environmental factors.

The introductory chapter includes how to design-in good practices in theory, data collection procedures, analysis, and interpretations to avoid these bad practices. Given that bad practices in research are ingrained in the career training of scholars in sub-disciplines of business/management (e.g., through reading articles exhibiting bad practices usually without discussions of the severe weaknesses in these studies and by research courses stressing the use of regression analysis and structural equation modeling), this editorial is likely to have little impact. However, scholars and executives supporting good practices should not lose hope. The relevant literature includes a few brilliant contributions that can serve as beacons for eliminating the current pervasive bad practices and for performing highly competent research.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

This research explores perceptions of knowledge management processes held by managers and employees in a service industry. To date, empirical research on knowledge management in the service industry is sparse. This research seeks to examine absorptive capacity and its four capabilities of acquisition, assimilation, transformation and exploitation and their impact on effective knowledge management. All of these capabilities are strategies that enable external knowledge to be recognized, imported and integrated into, and further developed within the organization effectively. The research tests the relationships between absorptive capacity and effective knowledge management through analysis of quantitative data (n = 549) drawn from managers and employees in 35 residential aged care organizations in Western Australia. Responses were analysed using Partial Least Square-based Structural Equation Modelling. Additional analysis was conducted to assess if the job role (of manager or employee) and three industry context variables of profit motive, size of business and length of time the organization has been in business, impacted on the hypothesized relationships.

Structural model analysis examines the relationships between variables as hypothesized in the research framework. Analysis found that absorptive capacity and the four capabilities correlated significantly with effective knowledge management, with absorptive capacity explaining 56% of the total variability for effective knowledge management. Findings from this research also show that absorptive capacity and the four capabilities provide a useful framework for examining knowledge management in the service industry. Additionally, there were no significant differences in the perceptions held between managers and employees, nor between respondents in for-profit and not-for-profit organizations. Furthermore, the size of the organization and length of time the organization has been in business did not impact on absorptive capacity, the four capabilities and effective knowledge management.

The research considers implications for business in light of these findings. The role of managers in providing leadership across the knowledge management process was confirmed, as well as the importance of guiding routines and knowledge sharing throughout the organization. Further, the results indicate that within the participating organizations there are discernible differences in the way that some organizations manage their knowledge, compared to others. To achieve effective knowledge management, managers need to provide a supportive workplace culture, facilitate strong employee relationships, encourage employees to seek out new knowledge, continually engage in two-way communication with employees and provide up-to-date policies and procedures that guide employees in doing their work. The implementation of knowledge management strategies has also been shown in this research to enhance the delivery and quality of residential aged care.

This chapter elaborates on the usefulness of embracing complexity theory, modeling outcomes rather than directionality, and modeling complex rather than simple outcomes in strategic management. Complexity theory includes the tenet that most antecedent conditions are neither sufficient nor necessary for the occurrence of a specific outcome. Identifying a firm by individual antecedents (i.e., noninnovative vs. highly innovative, small vs. large size in sales or number of employees, or serving local vs. international markets) provides shallow information in modeling specific outcomes (e.g., high sales growth or high profitability) – even if directional analyses (e.g., regression analysis, including structural equation modeling) indicate that the independent (main) effects of the individual antecedents relate to outcomes directionally – because firm (case) anomalies almost always occur to main effects. Examples: a number of highly innovative firms have low sales while others have high sales and a number of noninnovative firms have low sales while others have high sales. Breaking-away from the current dominant logic of directionality testing – null hypothesis significance testing (NHST) – to embrace somewhat precise outcome testing (SPOT) is necessary for extracting highly useful information about the causes of anomalies – associations opposite to expected and “statistically significant” main effects. The study of anomalies extends to identifying the occurrences of four-corner strategy outcomes: firms doing well in favorable circumstances, firms doing badly in favorable circumstances, firms doing well in unfavorable circumstances, and firms doing badly in unfavorable circumstances. Models of four-corner strategy outcomes advance strategic management beyond the current dominant logic of directional modeling of single outcomes.

To understand the relationship of social justice ideas to the role of a public library and its organizational members, particularly in terms of how information services are developed to meet the needs of patrons. Additionally, this research also examines the relationship between public library organizational rhetoric and the social justice ideas used by organizational members.

Uses a single case study, mixed-method approach informed by Yin (2013) with semi-structured interviews of library staff, text analysis of organizational rhetoric (mission statement and strategic plan), observation of the library’s Board of Trustees and an emic-etic content analysis method developed in Dadlani and Todd (2014, 2016a, 2016b).

Some findings include that both utilitarian and egalitarian distributions of service were used, sometimes one replacing the other based on the supply-demand of the situation. In terms of what is meant by equality, there is a utilitarian idea to the use of resources, those geographically closer are given more benefits, at the same time, the library fulfills needs based on something like an equality of capabilities approach, where the basic functionings of the community are central. Unexpectedly, a tension was observed between the ideas of the library as an unbiased and neutral information conduit and the library as a community hub that also espouses particular cultural/public values. Importantly, it was found that social justice ideas, like equality, had significantly different meanings across members of the library staff, thereby highlighting the contestable nature of social justice concepts.

This research provides a methodological example of how the extant philosophical literature on social justice concepts can be used to analyze libraries. It also provides a structured approach to understanding the role of social justice in different forms of librarianship and may be applicable in other types of information intensive organizations (government agencies, corporate information centers, for example).

Conventional tests of the regression discontinuity design’s identifying restrictions can perform poorly when the running variable is discrete. This paper proposes a test for manipulation of the running variable that is consistent when the running variable is discrete. The test exploits the fact that if the discrete running variable’s probability mass function satisfies a certain smoothness condition, then the observed frequency at the threshold has a known conditional distribution. The proposed test is applied to vote tally distributions in union representation elections and reveals evidence of manipulation in close elections that is in favor of employers when Republicans control the NLRB and in favor of unions otherwise.

To assist the social entrepreneur with direct marketing decision, the authors examine the relationship between the risks and costs associated with direct marketing for non‐profit organizations. This is done by developing and presenting a framework centered on two uncertainty factors – the cost to implement a direct marketing solution and control over (e.g. ability to manage) resources. A transaction cost analysis (economic) argument is used to rationalize the importance for entrepreneurs to effectively manage these two uncertainty factors when implementing a direct marketing program. This is illustrated using a perceptual mapping of each direct marketing channel relative to the two uncertainty dimensions.

The paper is organized by first presenting a brief description of each direct marketing strategy relative to its use by entrepreneurs in a non‐profit business environment. These strategies include: online, direct mail, catalogue, direct response, telephone marketing, and personal selling. Each strategy is then compared via their placement on a perceptual map using the two uncertainty dimensions: cost of implementation and control over direct marketing resources.

With the increasing prevalence of social entrepreneurship where the goal is to maximize returns given limited resources, this framework can become a critical tool to help nonprofit business owners first assess and then reduce the risks and uncertainties of their direct marketing strategies.

The conceptual framework presented is the one of few that addresses the issue of risk management among direct marketing strategies in social entrepreneurship. This can provide the basis for further research in this area to empirically validate and operationalized this framework.

This study aims to investigate the factors influencing the adoption of sharing economy (SE) practices, specifically focusing on virtual clothing sharing platforms (VCSPs) as a sustainable alternative to fast fashion (FF). Given the negative environmental impact, labor exploitation and disposable culture associated with FF, this research aims to understand how economic, environmental and social motivations affect consumer behavioral intentions toward using VCSPs.

Data were collected through a survey of 392 participants from a global online academic institution operating across Europe, Asia, America and Africa. The sample included individuals from diverse professional, demographic and educational backgrounds, providing relevant context for studying VCSPs. The study uses the decomposed theory of planned behavior (DTPB) and structural equation modeling to analyze the data, focusing on how motivations and COVID-19 influence consumer engagement with VCSPs.

The results reveal that environmental and prosocial motivations are the primary determinants driving VCSPs adoption, followed by economic and social factors. The study also identifies a significant impact of COVID-19 on consumer intentions.

This research expands the literature on SE within the fashion sector by providing new insights into consumer behavior. The proposed model enhances the predictive power of DTPB by integrating additional variables, including trust, decomposing perceived utility into four dimensions, COVID-19 influence and new relationships, offering a more holistic view of the adoption process. The findings have significant implications for advancing sustainable fashion initiatives and offer viable alternatives to FF.

The purpose of this paper is to describe current challenges faced by women and underrepresented minority faculty members, the benefits of mentoring programs, conceptual frameworks that highlight a wellness model and mentoring relationships and the findings from a mixed methods evaluation of a formal mentoring program (EMPOWER) that highlights the indirect benefits of such a program and the impact on faculty well-being.

This study was based on grounded theory, in which analysis was ongoing as data were collected and a variety of methods were used to building understanding. Measures included a survey and semi-structured interviews and focus groups. The thematic analysis of qualitative data was conducted utilizing the constant comparative method. Descriptive statistics were calculated for quantitative data.

Findings focus on the indirect benefits of EMPOWER including creation of a safe space, continued relationships between mentees and mentors, networking benefits, acculturation to the campus and a better understanding of organizational politics and how these can positively impact faculty well-being.

The benefits of this formal mentoring program, and the impact on faculty well-being, are important to acknowledge, understand and share with the broader research community and other institutions of higher education.