Gold Rush Antiques: A Database Management Case

Gold Rush Antiques is a real-world database management case. Gold Rush is a business with multiple locations across north Georgia which has experienced growth. The scenario engages students in the design and development of a database to advance the organization and analysis of the data about dealers, employees, products, and sales transactions. This case is created at various levels of data management coursework – beginning, intermediate, or advanced. The case scenario is written at a beginner level; teaching notes have intermediate and advanced suggestions (provided upon request). Students are requested to develop a working prototype of a database management system that includes the design of data, tables, forms, queries, and reports. The Gold Rush Antiques case study allows students to not only learn the development of a database but also understand how to examine, analyze, and apply business procedures. To assist the instructor, sample data is provided in the Appendix

The Promises and Challenges of Innovating Through Big Data and Analytics in Healthcare

In this article, we present the promises and challenges of big data and analytics (BD&A) in healthcare, informed by our observations of and interviews with healthcare providers in the US and European Union (EU). We then provide a set of recommendations for capitalizing on the extraordinary innovation opportunities available through big data

Integrate Enterprise Systems to our Hyperconnected World: Anything, Anywhere, Anytime through architectural design

The architectures of currently sold Enterprise Systems were developed in a time when the amount of data to be processed was limited. Since then the necessity to capture and process real-time data from multiple sources has surged and needs to be considered in a world where everything must be exchanged and available anywhere, anytime and in any format. Yet the abstinence of novel approaches on the architectures of Enterprise Systems creates a gap between the increasing requirements and existing information systems. In this paper, we suggest a new architectural design approach, which will close the gap between increasing requirements and existing information systems. In order to determine a future-proof architecture, the authors conducted a Delphi survey where technology providers and users were inquired on the business needs and technical requirements. The result of the Delphi survey has been used to create a proposal for a different approach towards ES architectures

Examining the Impact of User Personality Traits on Concern for Information Privacy of Personal Health Information

There is an increasing concern for the privacy of personal health information (PHI), driven by the proliferation of electronic health system utilization in the healthcare sector. The management of personal electronic health information, i.e., digital report(s) of real-time patient-centered information, has multiple stakeholders and is heavily regulated. As more personal health information is stored and transmitted in electronic form, there is an increasing concern for the privacy of sensitive PHI data. This study explores how an individual’s personality traits, as measured by the “Big Five” from Costa & McCrae (2003), drive individual concerns for data privacy. Rather than viewing privacy concerns as a single multidimensional consequence, we investigate six dimensions of privacy concern – collection, errors, unauthorized secondary use, improper access, control, and awareness. We aim to understand which privacy concern dimensions are most impacted by consumers/patients will greatly contribute to both practitioners and academics alike

Enterprise Architecture, IT Effectiveness and the Mediating Role of IT Alignment in US Hospitals

Despite the possible benefits of implementing healthcare information technologies, successful implementation of effective healthcare information technology is constrained by cultural and regulatory concerns and technical obstacles encountered when establishing or upgrading an organisation\u27s enterprise infrastructure. In this paper, we advance Ross\u27 four-stage model of enterprise architecture maturity as a valuable IT resource for helping healthcare organisations sustain a competitive advantage. We use partial least squares (PLS) structural equation modelling to analyse survey data from 164 US hospitals at different stages of EA maturity. Our results provide evidence that enterprise architecture maturity directly influences the effectiveness of hospitals\u27 IT resources for achieving strategic goals. Further, enterprise architecture maturity indirectly influences the effectiveness of IT resources when IT alignment is incorporated as a mediating variable. We discuss the implications of our findings for research and practice and suggest opportunities for future research