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This chapter explores the adoption and implementation of a conflict management system (CMS) in a hospital setting. In particular, it uncovers the different motivations and challenges associated with a CMS across various stakeholders within the organization.

The chapter is based on qualitative research conducted in a large American hospital that adopted and implemented a CMS over the course of 15 months. The author conducted extensive interviews with stakeholders across the organization, including top management, union leaders, middle managers, clinicians, and frontline staff. Findings are also based on an array of observations, including stakeholder meetings and conflict management sessions.

The case study demonstrates the centrality of underexplored, generalizable, and industry-specific pressures that may lead organizations to reconsider their use of traditional dispute resolution practices and to institute a CMS. It also highlights the inherent organizational ambivalence toward the design and adoption, initiation and implementation, and routine use of a CMS and it documents the different types of outcomes delivered to various stakeholders.

The chapter provides a nuanced portrait of the antecedents to and consequences of the transformation of conflict management within one organization. It contributes to the existing body of research exploring the 30-year rise of alternative dispute resolution and CMSs in a growing proportion of firms in the United States. The use of an in-depth case-study method to examine this CMS experience offers a number of important insights, particularly regarding different stakeholder motivations and outcomes.

Human resource management is an understudied but burgeoning topic in the family business scholarly domain. This chapter provides a summary review of the existing literature on human resource management in family businesses and offers pathways for future research. The authors cluster the extant research into topic areas of compensation, recruitment and selection, training, employee performance, and turnover, and offer future research directions for each. In identifying gaps and tension in the literature, the chapter also highlights several broader theoretical pathways for future research. These opportunities include further inquiry into the outcomes of bifurcation bias, or the disparate treatment between family and non-family employees, the nuanced ways family firms recruit and select new employees, the role of high-performance work systems in family firms, the ways image considerations influence human resource practices in family firms, and the application of social network perspectives.

Access to high-speed Internet is essential for full and consequential participation in the civic, economic, and education systems of modern life. Yet 30% of Californians continue to lack “meaningful Internet access” at home. This digital divide is worse among already disadvantaged communities and prevents rural, lower-income, and disabled individuals from fully participating in the civic, economic, and education systems of life in 2018. This chapter establishes the magnitude of the digital divide, examines the factors that contribute to the Divide, and looks at which groups are most affected. Successful government programs that invested in utility infrastructure and adoption, such as the Rural Electrification Act, the American Reinvestment and Recovery Act and the California Advanced Services Fund, are examined to provide a foundation for broadband specific policy recommendations. The chapter sets up a framework for policy recommendations by segmenting the population based upon the concepts of material and motivational access and establishing meaningful Internet access as the goal for policy-makers. The chapter puts forth a number of specific policy recommendations to address the technological disparity and prevent it from furthering the economic and educational divides.

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.

Electronic word of mouth (eWOM) is a digital marketing method that has been considered by some companies as an effective and efficient approach to enhance social learning and the environment for the customers. A social media user could benefit from gaining information from other users to aid their decision-making process. Instagram is an example of a social media platform that could be utilized for the application of eWOM. It could serve as a source of quality, credible and detailed information, and a channel to increase customer interactions and trust. This study aims to determine the effects of eWOM information generated through Instagram on patients’ intention to join the in vitro fertilization (IVF) programs. By adopting the information acceptance model (IACM) theory, several parameters were evaluated: information quality, credibility, usefulness, adoption, attitude toward information, and purchase intention. The structural equation modeling (SEM) was used to analyze as many as 200 respondents of Morula IVF Jakarta and were active Instagram users. The results showed that the adoption of information and attitude toward information had considerably influenced patients’ intentions to join the IVF programs. Such circumstances might have occurred as a result of the increase in information exchange about IVF, through the discussions and sharing of experiences by patients on Instagram. Furthermore, information usefulness was demonstrated to affect information adoption and was influenced by the credibility of information and attitudes toward information. Nonetheless, one variable which did not display any effects on the usefulness of information was the quality of information. In summary, the characteristics of eWOM information that were conveyed on Instagram could affect the intention of patients in joining the IVF program.

Few studies have investigated the relationship between work-family human resource practices and firm-level outcomes. Several organizational studies have addressed the antecedents to firm adoption of work-family initiatives; however, the majority of work-family research investigates the relationship between work-family practices and individual-level outcomes. The current paper begins by providing a critical analysis and synthesis of the extant work-family literature. In addition, we integrate the organizational learning research on firm commitment to work-family policies and the human resource model. We suggest that the level of firm commitment moderates the relationship between work-family policies, the human resource model, and firm performance. Several propositions for future work-family research are presented.

Does the adoption of the Enterprise Risk Management (ERM) improve bank profitability? Does ERM also reduce bank risk? By analyzing a sample of banks located in European emerging markets between 2005 and 2013, the aim of this chapter is to empirically investigate the determinants of firm performance, both in terms of bank profitability and risk, with respect to the adoption of Enterprise Risk Management (ERM). In order to capture the effect of the ERM program adoption on banks’ performance, we both use market-based measures as well as accounting-based indexes. Following the seminal literature on the topic (Aebi, Sabato, & Schmid, 2012; Eckles et al., 2014; Ellul & Yerramilly, 2013; Hoyt & Liebenberg, 2003, 2011; Lin, Wen, & Yu, 2012; Pagach & Warr, 2010), we adopt a binary proxy variable, that is, the appointment of a Chief Risk Officer (CRO), to define whether the firm is currently undertaking an ERM program. Our results show that a post-ERM firm experiences an increase in the risk-adjusted profits and a reduction of the overall risk.