Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations:A Configurational Perspective

Big data analytics (BDA) is beneficial for organizations, yet implementing BDA to leverage profitability is fundamental challenge confronting practitioners. Although prior research has explored the impact that BDA has on business growth, there is a lack of research that explains the full complexity of BDA implementations. Examination of how and under what conditions BDA achieves organizational performance from a holistic perspective is absent from the existing literature. Extending the theoretical perspective from the traditional views (e.g. resource-based theory) to configuration theory, the authors have developed a conceptual model of BDA success that aims to investigate how BDA capabilities interact with complementary organizational resources and organizational capabilities in multiple configuration solutions leading to higher quality of care in healthcare organizations. To test this model, the authors use fuzzy-set qualitative comparative analysis to analyse multi-source data acquired from a survey and databases maintained by the Centres for Medicare & Medicaid Services. The findings suggest that BDA, when given alone, is not sufficient in achieving the outcome, but is a synergy effect in which BDA capabilities and analytical personnel's skills together with organizational resources and capabilities as supportive role can improve average excess readmission rates and patient satisfaction in healthcare organizations

Consumer-Based Leisure Constraint for Online Gaming

[[abstract]]The purpose of this study is to develop a multidimensional measure of consumer-based leisure constraint for online game play and to assess its psychometric properties. An empirical model of player constraint in online games provides the foundation to understanding and assessing how players differ from one another (such as high gamers/low gamers and high gamers/non-gamers) and how constraints on play relate to frequency of use. In the current study, an exploratory factor analysis was used to extract the common factors, and confirmatory factor analysis was used to create an empirical model of players' perception of constraint and to reveal its underlying structure. The analysis revealed six dimensions of constraint. The relationship between perception of constraint and frequency of use is also presented.[[notice]]補正完畢[[incitationindex]]SSCI[[booktype]]電子版[[booktype]]紙

A Qualitative Research Perspective on BPM Adoption and the Pitfalls of Business Process Modeling

Abstract. Business Process Management (BPM) is used by organizations as a method to increase awareness and knowledge of business processes. Although many companies adopt BPM, there is still a notable insecurity of how to set it up in the most effective way. A considerate amount of research concerning partial aspects of BPM adoption has been done, such as the pitfalls of business process modeling. However, up until now hardly any empirical research has been conducted that aims at validating them. In this paper we address this research gap by conducting eleven in-depth interviews with BPM experts from various companies. We use the Grounded Theory approach to qualitatively analyze the data. Our contribution is twofold. First, we derive a conceptual framework showing the insights of BPM adoption by organizations. Second, we use the evidence from the interviews to discuss the pitfalls of business process modeling and show the countermeasures that are taken by companies