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This chapter provides a comprehensive review of research and developments relating to the use of Web 2.0 technologies in education. As opposed to early educational uses of the Internet involving publication of static information on web pages, Web 2.0 tools offer a host of opportunities for educators to provide more interactive, collaborative, and creative online learning experiences for students. The chapter starts by defining Web 2.0 tools in terms of their ability to facilitate online creation, editing, and sharing of web content. A typology of Web 2.0 technologies is presented to illustrate the wide variety of tools at teachers’ disposal. Educational uses of Web 2.0 technologies such as wikis, blogs, and microblogging are explored, in order to showcase the variety of designs that can be utilized. Based on a review of the research literature the educational benefits of using Web 2.0 technologies are outlined, including their ability to facilitate communication, collaborative knowledge building, student-centered activity, and vicarious learning. Similarly, issues surrounding the use of Web 2.0 tools are distilled from the literature and discussed, such as the possibility of technical problems, collaboration difficulties, and plagiarism. Two case studies involving the use Web 2.0 tools to support personalized learning and small group collaboration are detailed to exemplify design possibilities in greater detail. Finally, design recommendations for learning and teaching using Web 2.0 are presented, again based on findings from the research literature.

This chapter explores the media coverage of the 2016 Presidential campaign and reveals the corruption fantasy themes that emerged. Media coverage of corruption can uniquely affect voter attitudes and public policy formulation and implementation, as revealed in previous scholarship on media coverage of corruption. By tracing the competing narratives offered in media coverage utilizing the constant comparative method, the dramatic characters, Crooked Hillary and Corrupt Businessman Trump, are identified and their storylines are explicated. Analysis reveals these dramatic fantasy themes chained through social media, evincing and promoting the narratives that drove media coverage of our political leaders and public policy results. The chapter illustrates that the narratives involving corruption were prominent and negative, further indicating that the media’s obsession with scandal contributed to and supported the narratives that portrayed both candidates as corrupt, adding pollution to the 2016 U.S. political environment.

Research involving interorganizational relationships (IORs) has grown at an impressive rate. Several datasets have been used to understand the nature and performance implications of these relationships. Given the importance of such relationships, we describe a relatively new dataset, Bloomberg SPLC, which contains data regarding the percentage of costs and revenues attributed to suppliers and customers, as well as allows researchers to construct a comprehensive dataset of IORs of buyer–supplier networks. Because of this, Bloomberg SPLC data can be used to uncover new and exciting theoretical and empirical implications. This chapter provides background information about this dataset, guidance on how it can be leveraged, and new theoretical terrain that can be charted to better understand IORs.

Purpose: The issue of whether participation in online peer-support communities has positive or negative impacts on the psychological adjustment of cancer patients warrants further explorations from new perspectives. This research investigates the role of personality traits in moderating the impact of online participation on the psychological adjustment of cancer patients in terms of their general psychological well-being and cancer-specific well-being.

Methodology: Study participants consisted of adults diagnosed with leukemia. Questionnaires were collected from 111 participants in two leukemia-related forums in China, Baidu Leukemia Community and Bloodbbs. Information regarding the personality traits, online participation, and psychological adjustment were collected using an online questionnaire. A linear regression model was used to test the moderation effect of personality traits on the relationship between online participation and psychological adjustment.

Findings: The main effect of participation in online support communities on psychological adjustment was not statistically significant. Importantly, two personality traits (i.e., emotional stability and openness to experience) moderated the relationship between online participation and psychological adjustment to cancer. Leukemia patients with high emotional stability and high openness to experience reported better psychological adjustment as they participated more in the online community. However, this was not the case for patients with low stability and low openness, who reported worse psychological adjustment as their participation in the online support community increased.

Value: This study introduces two personality moderators into the discussion of how participation in online support communities influences the lives of cancer patients. The moderation effects help to explain why there have been contradictions in the findings of previous studies. In addition, this study adds to the current literature on online support communities as little research on this topic has been conducted outside of the US and Europe. Practically, this study not only highlights the need to evaluate the personality traits of patients who are recommended to participate in online communities, but also underlines the necessity of intervention in these communities.

Probability of Default (PD) is a crucial credit risk parameter. International accords have motivated banks and credit institutions to adopt objective systems of evaluating and monitoring the PD. This study examines retail unsecured loans of a major Greek bank during the period of the financial crisis. It focusses on the stochastic behaviour of the financial states of the loans. It is tested whether a first-order Markov chain (MC) model describes sufficiently the transitions from one state to another. Moreover, Poisson regression models are estimated in order to calculate the limiting transition matrix, the limiting state probabilities and the PD. It is proved that the MC of the financial states of loans is non-homogeneous suggesting that the transition probabilities from one financial state to another are not constant across time. From the Poisson regression models, the transition probability matrix is estimated from one state to another in alternative time periods. From the limiting transition matrix, it is shown that if a loan is delayed then it is very likely to move towards the next worst case. The findings of this research could be useful for bank management.

The purpose is to assess current construct measurement in social entrepreneurship and provide recommendations for future construct measurement on the topic.

We use content analysis to assess the construct measurement practices in social entrepreneurship research. Prior studies were coded and analyzed to assess the way social entrepreneurship researchers have developed measures for key constructs in the social entrepreneurship literature. The content analysis allows for the examination of the number, type, and measures associated with social entrepreneurship research and for the comparison with the construct measurement practices in entrepreneurship research, in general.

We suggest that, while initial quantitative research has provided a useful start for empirical analysis of social entrepreneurship, future research can be improved by developing and applying stronger measures of key constructs, such as social value, mission consistency, and performance of social enterprises.

This chapter takes a content analytic approach to provide evidence regarding how a foundational element such as construct measurement has developed within social entrepreneurship research. We also propose directions for improving future research by validating and strengthening measurements of core constructs in social entrepreneurship.

The experimental parliamentary subsidy on knights' fees and freehold incomes from lands and rents of 1431 was the only English direct lay tax of the Middle Ages which broke down. As such, this subsidy has a clear historiographical significance, yet previous scholars have tended to overlook it on the grounds that parliament's annulment act of 1432 mandated the destruction of all fiscal administrative evidence. Many county assessments from 1431–1432 do, however, survive and are examined for the first time in this article as part of a detailed assessment of the fiscal and administrative context of the knights' fees and incomes tax. This impost constituted a royal response to excess expenditures associated with Henry VI's “Coronation Expedition” of 1429–1431, the scale of which marked a decisive break from the fiscal-military strategy of the 1420s. Widespread confusion regarding whether taxpayers ought to pay the feudal or the non-feudal component of the 1431 subsidy characterized its botched administration. Industrial scale under-assessment, moreover, emerged as a serious problem. Officials' attempts to provide a measure of fiscal compensation by unlawfully double-assessing many taxpayers served to increase administrative confusion and resulted in parliament's annulment act of 1432. This had serious consequences for the crown's finances, since the regime was saddled with budgetary and debt problems which would ultimately undermine the solvency of the Lancastrian state.

In this volume, we take the baton from previous editors Dave Ketchen and Don Bergh in the Research Methodology in Strategy and Management series. Our approach is to stand on the shoulders of these editors and authors who have published in the series. So, we begin, in this chapter, by highlighting innovative work published in this volume that has provided actionable and practical suggestions for problems researchers face in their work. We briefly describe the chapters, including the first two chapters in this volume from Kathleen M. Eisenhardt and Dennis Gioia, and introduce new methodologies and tools to guide researchers in their efforts to build high quality, publishable work. We also describe future work that, in our view, needs to be addressed for the fields of strategic management in particular and management more generally to continue to evolve.