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This paper develops an argument about how contentious changes unfold in organizational fields, focusing on the role of uncertainty – and the networks people use to address uncertainty. We propose that as controversial practice gains traction and spreads, the nature of uncertainty facing organizational decision makers also evolves. This dynamic has important implications for how different actors and networks can influence change. We illustrate our argument with a mixed-methods case study on the diffusion of domestic partner benefits across US Fortune 500 companies. Our findings shed light on how – and when – social activists, corporate elites, and middle managers can influence the corporate decision-making process.

The National Health Interview Survey on Disability, fielded between 1994 and 1997, was one of the most comprehensive and most complex surveys on disability ever conducted. This chapter describes the background of the NHIS-D, its design and contents, its technical characteristics, and initial efforts to disseminate its findings. It provides a basic background on the NHIS-D for readers of this volume, and provides analysts working with the NHIS-D insight into some of the design and development issues that have not been previously described in public documents.

Over the last ten years, researchers have increasingly focused on the pursuit of opportunity as one of the central acts of entrepreneurship. This chapter proposes a model of opportunity recognition which emphasizes the process through which entrepreneurs interact with their social contexts to develop opportunities, that is, to develop and shape ideas into attractive opportunities. The central research question is “how does an individual use his or her social context to recognize opportunity?” The question can be re-phrased in two parts, highlighting the two sides of the influence process. First, how do the people around the individual affect both the entrepreneurial thinking process and the opportunity ideas? And second, how does the individual structure his or her social context and use the people surrounding him or her for recognizing and pursuing opportunities?

Triangulation of research methods is crucial to thoroughly explore how tourism can be better linked to the local economy in the Pacific's ‘Small Island Developing States’ (SIDS) because it includes the use of multiple data collections, analytical methods, data sources and theories or perspectives (Rocco et al., 2003). The exploration of the interactions between the various stakeholders in tourism and the wider economy will help linkages to be understood and enhanced. The research focuses on the following stakeholders: tourists, growers, small and medium tourism enterprises (SMTEs), government officials and village councils. The study explores the ways in which each of these stakeholder groups interacts with each other and their perspectives on the issues surrounding the linkages between tourism and agriculture.

The purpose of this chapter is to demonstrate the use of a case study of Niue and multiple data-gathering techniques to collect critical information on the linkages between tourism and agriculture in Pacific SIDS. The findings and lessons learned from a single case study of Niue using a mixed-methods approach potentially benefit other island nations in the region. This chapter begins with a discussion on the usefulness of case study research and then justifies the use of a mixed-methods approach and multiple stakeholders to better understand the linkages between tourism and agriculture in SIDS. The complexities of the inter-sectoral analysis being undertaken and the lack of prior data in this area necessitated a mixed-methods approach to the research. The chapter thoroughly discusses the research process and participants, including the design of research tools and the conduct of field work. Then the chapter focuses on research findings and concludes by reviewing the lessons learned from this research approach and its use of a case study and mixed methods to gain a holistic insight into the potential for enhancing the linkages between tourism and agriculture on Niue.

This paper discusses how educational policies have shaped the development of large-scale educational data and reviews current practices on the educational data use in selected states. Our purposes are to: (1) analyze the common practice and use of educational data in postsecondary education institutions and identify challenges as the educational crossroads; (2) propose the concept of Data Literacy (DL) for teaching (Mandinach & Gummer, 2013a) and its relevance to researchers and stakeholders in postsecondary education; and (3) provide future implications for practices and research to increase educational DL among administrators, practitioners, and faculty in postsecondary education.

We used two guiding conceptual frameworks to analyze the common practice and use of educational data in postsecondary education institutions and identify challenges as the educational crossroads. First, we used the 4Vs of Big Data by Rajan (2012) to examine the misalignment between the policy mandate and the practices. The elements of the 4Vs of Big Data – volume, velocity, variety, and veracity – help us to depict how Big Data enables educators to organize, store, manage, and manipulate vast amounts of educational data at the right moment and at the right time. Second, we used the conceptual framework for DL proposed by Gummer and Mandinach (in press). They interpret DL “as the collection, examination, analysis, and interpretation of data to inform some sort of decision in an educational setting” (p. 1, in press).

Using the guiding frameworks, we identified four educational data crossroads as follows:

Crossroad 1: Unintended Increase in Workload Volume;

Crossroad 2: Unrealistic Expectations of Data Velocity;

Crossroad 3: Data Variety in Silos; and

Crossroad 4: Data Veracity and Policy Agenda Mismatch.

In this paper, we explain each of these crossroads in more detail with some examples.

Much of the existing body of literature, exemplary practices, as well as federal and state funding has been focused on K-12 education contexts. In this paper, we identify current practices and challenges of educational data in the institutions of higher education. Additionally, this paper presents the application of the exemplary practices of data literacy development in postsecondary education and implications for future practices of data literacy development in postsecondary education.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

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.

In this chapter, the author draws on a historical case study of the Australian wine industry to explore variations in collective agency. The inductively derived process model illustrates the emergence of a new profession of scientific winemaking, which unfolds in three phases. Each phase is characterized by a distinct form of agency: distributed agency during the earliest phase, coordinated agency during later phases, and orchestrated agency during consolidation. In addition to exploring the temporal shifts in agency, the study includes a detailed analysis of the early stages of distributed agency, examining how collective agency is achieved in the absence of shared intentions.

In this chapter, we have presented four case studies of the firms which are operating in the medium complete adapting countries. The four cases are Arvidsson Textile Share Company in Estonia, Partec Rockwool in Lithuania, Accel Share Company in Lithuania and Ragn-Sells in Estonia. The case studies are prepared following the structure of the theoretical framework applied in this book. We have found out that the performance of Arvidsson Textile Share Company is successful as it matches the expectations if the partners and it has remained to be more or less the same since its establishment. The performance of Partec Rockwool was also successful from the very beginning until it was replaced by the fully owned firm. Accel Share Company's operations in Lithuania was successful from the very beginning as it found the right people with the right competence in the local market. In the case of Ragn-Sells in Estonia, the alliance was successful but not up to the full expectation.