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In this paper, we argue that the opportunities created from the recent transformational change in the health care industry have provided the environment for entrepreneurship to thrive. As a result, new and innovative organizational forms have flourished particularly when embedded in communities of entrepreneurial activity where networks of experience, access, and social/work relationships exist. The major purpose of this paper is to initiate a theoretical dialogue in which entrepreneurship is introduced as a field of research that can be used to explain how and why health care organizations have emerged and changed into their present forms. First, we present the basic elements for understanding the process of entrepreneurship and how entrepreneurial activity is important to the innovation of new organizational forms. Second, we relate this to the field of health care by focusing on the three stages in the entrepreneurial model: creation, discovery, and exploitation of entrepreneurial opportunities. Third, we argue that the degree of entrepreneurial activity within a given community is the outcome of a dynamic process involving social networks along with positive economic and legal activities that reduce transaction costs and encourage entrepreneurship. To demonstrate this, we focus on the area known as the “health care business capital” in the U.S. – Nashville, Tennessee – and describe the entrepreneurial activity in that city beginning in the 1960s and relate this to the existing theory. We believe this research represents a juxtaposition of the practical and theoretical, so critical in understanding entrepreneurial activity and new organizational forms in health care.

Strategy and entrepreneurship have long been seen as separate realities to many scholars. In near-caricature form, the first has been seen as focused on large firms using explicit strategic planning methods supported by increasingly sophisticated information technology; and the second appeared primarily to reflect the actions of a determined, energetic, and intuitive founding entrepreneur or small entrepreneurial action team. Fortunately, many leading scholars in the two corresponding fields of study have recognized that these realities are indeed overlapping and should be approached by researchers as such, whenever possible.

In this study, the service quality of an automobile authorized service center was investigated based on the European Customer Satisfaction Index (ECSI) model. The ECSI model includes image, customer expectations, perceived quality, perceived value, customer satisfaction, customer complaints and customer loyalty.

In the study, an attempt was made to improve the ESCI model by adding the trust factor as a moderating variable. After an extensive literature review, measurement questions were developed to best represent the factors in the research model. Partial least squares structural equation modeling (PLS-SEM) was used to test the fit of the research model and test the hypotheses.

As a result of the analysis, only one of the 13 hypotheses tested was not supported. According to the results of hypothesis testing, the highest effect was found in the relationship between customer satisfaction customer complaints, customer expectations and perceived quality. In addition, customer expectations affect customer satisfaction indirectly rather than directly. In this case, customer expectations, perceived value and perceived quality influence customer satisfaction.

The customer satisfaction quality index score of the authorized automobile service whose service quality was measured was calculated as 72.75. Although customers were generally satisfied with the authorized service, their expectations were not fully met.

In the study, an attempt was made to improve the ECSI model by adding a trust factor. Trust, which was added to the model as a moderator variable, fit the model. As a result, it was revealed that trust has an increasing regulatory effect on the relationship between perceived quality and customer satisfaction.

Although educators would likely agree that values and ethics are important in all disciplines, they have particular importance for practice-oriented fields. These applied professionals need to solve complex social problems that require the application of ethical standards and value perspectives. While the importance of value-engaged practice is known to the applied field, there is little research and conversation about how values can be integrated into teaching. This chapter synthesizes values-education approaches in various practice-based disciplines such as public administration (PA), program evaluation, social work, and public health. This chapter draws from empirical and theoretical works as well as the authors' experiences developing, participating in, and conducting values-based research on professionals and professional education.

The adoption of electronic health records (EHRs) and digitization of health data over the past decade is ushering in the next generation of digital health tools that leverage artificial intelligence (AI) to improve varied aspects of health system performance. The decade ahead is therefore shaping up to be one in which digital health becomes even more at the forefront of health care delivery – demanding the time, attention, and resources of health care leaders and frontline staff, and becoming inextricably linked with all dimensions of health care delivery. In this chapter, we look back and look ahead. There are substantive lessons learned from the first era of large-scale adoption of enterprise EHRs and ongoing challenges that organizations are wrestling with – particularly related to the tension between standardization and flexibility/customization of EHR systems and the processes they support. Managing this tension during efforts to implement and optimize enterprise systems is perhaps the core challenge of the past decade, and one that has impeded consistent realization of value from initial EHR investments. We describe these challenges, how they manifest, and organizational strategies to address them, with a specific focus on alignment with broader value-based care transformation. We then look ahead to the AI wave – the massive number of applications of AI to health care delivery, the expected benefits, the risks and challenges, and approaches that health systems can consider to realize the benefits while avoiding the risks.

This paper discusses how the features of blockchain technology impact supply chain transparency through the lens of the information security triad (confidentiality, integrity and availability). Ultimately, propositions are developed to encourage future research in supply chain applications of blockchain technology.

Propositions are developed based on a synthesis of the information security and supply chain transparency literature. Findings from text mining of Twitter data and a discussion of three major blockchain use cases support the development of the propositions.

The authors note that confidentiality limits supply chain transparency, which causes tension between transparency and security. Integrity and availability promote supply chain transparency. Blockchain features can preserve security and increase transparency at the same time, despite the tension between confidentiality and transparency.

The research was conducted at a time when most blockchain applications were still in pilot stages. The propositions developed should therefore be revisited as blockchain applications become more widely adopted and mature.

This study is among the first to examine the way blockchain technology eases the tension between supply chain transparency and security. Unlike other studies that have suggested only positive impacts of blockchain technology on transparency, this study demonstrates that blockchain features can influence transparency both positively and negatively.