Out of Sight, Out of Mind: Turnover Intentions through an eLeadership Lens

The basis for this research is founded on the emerging eLeadership theory and the need for retention of qualified leadership in organizations that either are required to or elect to adopt information communication technology (ICT). Development of the eLeadership theory is still in its nascent stage and thus the use of theoretical foundations it is built upon are used to measure and understand the influencing factors of an eLeader\u27s turnover intention. The researchers in this study propose a research model of eLeader’s turnover intention and develop propositions using eLeader’s relationship with followers, transformational leadership ability, technology self-efficacy, and organizational engagement as its core constructs. Data from this research is proposed to be collected using qualified surveys and findings. This research is expected to make a significant contribution and enrich the developing body of eLeadership literature so that more empirical data is available for future researchers interested in measuring constructs related to eLeadershi

Exploratory Analysis of Internet of Things (IoT) in Healthcare: A Topic Modeling Approach

The rapid integration of the physical and cyber worlds through the Internet of Things, or IoTs, is transforming our lives in ways that we could not have imagined even five years ago. Although they are still in their infancy, IoTs have already made a significant impact, particularly in the healthcare domain. The purpose of this study is to unravel key themes latent in the sparse but growing academic literature on the application of IoTs in healthcare. Specifically, we performed topic modeling and identified five dominant clusters of research, namely, privacy and security, wireless network technologies, applications, data, and smart health and cloud. Our results show that research in healthcare IoT has mainly focused on the technical aspects with little attention to social concerns. In addition to categorizing and discussing the topics identified, the paper provides directions for future researc

Knowledge Management in Software Development

Today’s business environment is extremely dynamic and competitive. In order to sustain the pressure and gain a competitive edge, it is imperative for organizations to be creative in their software development efforts. Agile software development has huge potential for nurturing creativity. However, little research has examined creativity in the context of software development projects, particularly those using agile practices. The objective of this paper is to articulate a model that elucidates the relationship between agile practices and creativity. Further, the model tries to provide an understanding of how Knowledge Integration mediates the Relationship between agile practices and team creativity

An mHealth Application to Promote Diabetes Self-care Behavior among Medically Underserved Population

Diabetes is a chronic illness that causes serious health complications such as kidney failure, limb amputations, and often leads to premature death. Adoption of self-care behavior among diabetes patients is known to improve their health conditions and quality of life. Medically underserved populations (MUP) are disproportionately affected by diabetes. In this research we use a design science approach to develop an mHealth app to promote diabetes self-care behavior among MUPs. Using design theories on behavior change and user-centered design we articulated five key design principles. A mobile app based on these principles and AADE7 self-care behavior framework has been implemented using an Android system. We are currently in the process of evaluating its effectiveness. Our research contributes to the discourse on design for behavior change and illustrates the effectiveness of mHealth apps in promoting healthy lifestyles

Carrots and Rainbows: An Empirical Comparison of Motivations of Open Source Software Contributors

Open source software (OSS) communities have been witnessing growing commercial interests with increased corporate involvement in the recent years with acquisitions of major OSS platforms such as Red Hat and GitHub. Researchers have studied a wide variety of motivations behind individuals\u27 participation in OSS communities. In this study, we build upon the framework, rooted in self-deterministic and social practice theories, proposed by von Krogh et al. (2012) and develop a model of OSS contribution likelihood. We empirically validate the model with a large dataset from 2017 GitHub Open Source Survey that includes over 5,500 randomly selected OSS developers. Results indicate that short-term and/or tangible motivations (carrots) and long-term, value-based factors (rainbows) influence OSS developers’ contribution likelihood. However, carrots are relatively more important. Further, we find that as internal self-efficacy increases, effect of OSS hiring behind contribution to OSS decreases. Our research contributes to theory and practice

Adoption of Telemedicine - Challenges and Opportunities

U.S. health care system is plagued by rising cost and limited access. While the cost of care is increasing faster than the rate of inflation, people living in rural areas have very limited access to quality health care due to a shortage of physicians and facilities in these areas. Information and communication technologies in general and telemedicine in particular offer great promise to extend quality care to underserved rural communities at an affordable cost. However, adoption of telemedicine among the various stakeholders of the health care system has not been very encouraging. Based on an analysis of the extant research literature, this study identifies critical factors that impede the adoption of telemedicine, and offers suggestions to mitigate these challenges

Diabetes self-care management using mobile applications among medically underserved population

Patients with type-2 diabetes can benefit from self-care behaviors that include eating a healthy diet, exercising regularly, and monitoring health conditions periodically. Most patients fail to abide by this routine, thus resulting in serious health complications. This situation is more prevalent among medically underserved populations (MUP). MUPs, typically, are from low-income groups and often lack health insurance and access to medical care. Mobile technology is increasingly being used in chronic disease management. In this study, we use a mixed method research approach to investigate factors that influence the intention to adopt mobile technology for diabetes self-care management among MUPs. We extend the Technology Acceptance Model (TAM) with relevant constructs (e.g. illness representation and privacy concern) to contextualize the healthcare setting of MUPs. This study will contribute to our understanding of mobile technology adoption behavior of MUPs and help improve diabetes management among this patient population