Linking Information Technology and Entrepreneurship: A Literature Review

This study reviews research carried out in the domain of IT and entrepreneurship. A total of 907 papers, published between 1978 and 2020 were used to uncover the latent topics addressed in the domain. A topic modeling (LDA) algorithm was used to automate the process of extracting the initial research topics from the data. The literature review further enhances the understating of IT-associated entrepreneurship research, providing useful insights for future research and informs practice in this domain of study

SenseCluster for exploring large data repositories

Exploring and making sense of large data repositories has become a daunting task. This is especially the case for end users who often have limited access to the data due to the complexity of the retrieval process and limited availability of IT support for developing custom queries and reports based on the data. Consequently, traditional interfaces are no longer meeting these requirements. Instead, novel interfaces are required to fully support the sense making process. In this paper, we followed a design science approach and introduced a query clustering system (Sense Cluster) that could serve as a quick exploration tool for making better sense of large data repositories. We also present an evaluation of the effectiveness of our artifact using cognitive walkthroughs

E-government research insights: Text mining analysis

Research on e-government is attracting more attention from scholars and growing exponentially. A wide spectrum of studies has explored a variety of topics to lay the foundations of this research area. The aim of this study was to extend our knowledge of e-government and investigate dominant and future research directions. To that end, this paper attempted to explore published research in the e-government discipline using the reported keywords for a large selection of journals. This study provided a text mining-based review of 2018 articles collected from 11 journals using 12,692 keywords. The results indicated that new topics like open government, smart cities, and analytics have recently been attracting more research. Researchers continue to pursue areas like governance, e-government adoption, e-participation, e-democracy, administration and procurement topics. Finally, researchers’ quest for a theory or framework that guides the study of e-government has faded. More details are reported in this study

Evaluating Project Characteristics for Selecting the Best-fit Agile Software Development Methodology: A Teaching Case

Agile methods have attracted significant attention in the industry as an approach for software development and IT project management due to fast-changing business environments, cost, and competitive pressures. Choosing the right approach among various agile development models, however, is a complex, multi-criteria decision that can have significant implications on project success. In this article, we present a teaching case designed to help Information Systems students improve their skills in understanding and evaluating complex business requirements and in selecting the most appropriate software development methodology to match the needs of a specific IT project, and the organization. The teaching case includes a comparative overview of various agile methodologies, as well as the use of multi-criteria decision tools for solving the problem of methodology selection

Discovering Design Principles of Web Analytics Tools: A Text Mining Approach

With the popularity of the Internet and web-based business model, web analytics tools have increasingly drawn attention. This study aims to discover the design principles of web analytics tools from the analysis of users’ feedback from the actual use of the tools. Specifically, we employed text mining (clustering algorithm) to extract the design principles from online user reviews of web analytics. Overall, the results highlight the necessity to incorporate the product, technical, and experience design principles into web analytics tools design. Keywords Web analytics, design features, text mining, clustering, users reviews

Managing knowledge workers in healthcare context: role of individual and knowledge characteristics in physicians\u27 knowledge sharing

Purpose: Sharing knowledge of physicians in hospitals is critical and significant in terms of providing better healthcare services. Despite the significance of knowledge sharing in the healthcare setting, very few studies have empirically investigated knowledge sharing drivers among physicians. Particularly, the process of knowledge sharing through the interplay between individual characteristics, knowledge characteristics, and intention in a healthcare setting has received very little empirical support. In this study, the authors draw upon personality traits and knowledge characteristics theories to develop a theoretical model to empirically examine the effect of individual characteristics and knowledge characteristics on physicians\u27 knowledge sharing behavior. Design/methodology/approach: Based on a sample of 215 physicians from 20 hospitals in Jordan, the authors conducted data analysis using the partial least squares statistical technique. Findings: The study revealed that the personality traits (Extraversion, Neuroticism, Agreeableness and Conscientiousness) significantly influence physician intention to share knowledge. Knowledge characteristic (Situatedness) was also found to affect the intention to share knowledge. Originality/value: Very little is known about the effect of individual characteristics and knowledge characteristics on knowledge sharing behavior among physicians. The study contributes to the related literature by empirically investigating how individual characteristics and knowledge characteristics influence physicians\u27 knowledge sharing behavior. The findings add to the understanding of the role of personality traits and knowledge characteristics in physicians\u27 intention to share knowledge and give important insights for practice and theory