Two Project on Information Systems Capabilities and Organizational Performance

Information systems (IS), as a multi-disciplinary research area, emphasizes the complementary relationship between people, organizations, and technology and has evolved dramatically over the years. IS and the underlying Information Technology (IT) application and research play a crucial role in transforming the business world and research within the management domain. Consistent with this evolution and transformation, I develop a two-project dissertation on Information systems capabilities and organizational outcomes. Project 1 examines the role of hospital operational effectiveness on the link between information systems capabilities and hospital performance. This project examines the cross-lagged effects on a sample of 217 hospitals measured over three years, to ascertain the effect of Hospital IS capability variants on Hospital performance in terms of quality of care and profitability, as mediated by hospital operational effectiveness. Hospital operational effectiveness was studied as process efficiency and service efficiency. The results of our study provide evidence for a considerable causal impact of hospital IS capabilities on hospital performance as mediated by hospital operational effectiveness. Project 2 investigates the impact of CEO’s communication styles on organizational performance using text-mining approach on CEOs tweets from social media. The contribution of our study is three-folded: 1) From a methodological standpoint, we present a model to establish a relationship between CEO communication styles on social media and firm performance. Additionally, we apply text mining to identify communication styles of CEOs. 2) From a performance management, we evaluate organizational performance in three types: Operational, Financial, and Reputational. 3) From a management practice and policy perspective, our study results will help organizations evaluate the CEO candidates from a communication style standpoint

Accessing the Impact of IT Budgets on Hospital Performance: A Panel Data Analysis

https://scholar.dsu.edu/research-symposium/1017/thumbnail.jp

Impact of IT Investment on Hospital Performance: A Longitudinal Data Analysis

With the enormous investments in Information Technology (IT), the question of payoffs from IT has become increasingly important. In this study, we investigate the impact of IT investments on hospital performance. We consider both financial outcomes such as return of investment and non-financial outcomes such as quality of care. We used longitudinal data that include the IT investments and hospital performance measures collected from over 500 hospitals and conduct a panel data analysis. The results of our study provide evidence for a significant positive relationship between IT investments and hospital performance measures

Predicting Hospital Readmissions of Diabetic patients - A Machine Learning Approach

https://scholar.dsu.edu/research-symposium/1016/thumbnail.jp

CEO’s Communication Styles and their Effect on Organizational Performance

Several studies have highlighted the importance of leadership communication in establishing stakeholder alignment, implementing strategy, and achieving superior organizational performance. In this way, this study investigates the impact of CEO’s communication styles on organizational performance using text-mining approach on CEOs tweets from social media. This study aims to examine the relationship between CEO communication styles and organizational performance. The contribution of our study is three-folded: 1) From a methodological standpoint, we present a model to establish a relationship between CEO communication styles on social media and firm performance. Additionally, we apply text mining to identify communication styles of CEOs. 2) From a performance management, we evaluate organizational performance in three types: Operational, Financial, and Reputational. 3) From a management practice and policy perspective, our study results will help organizations evaluate the CEO candidates from a communication style standpoint

Early Public Outlook on the Coronavirus Disease (COVID-19): A Social Media Study

The recent outbreak of the coronavirus (COVID-19) brought with its public concerns and fears about a global epidemic. With the increase in the popularity, usage, and reach of social media, this research examined the early public outlook on COVID-19 using SM-Platform, Twitter.com. The current study employed a mixed-method approach in collecting and analyzing public tweets by combining quantitative sentiment analysis with a qualitative thematic analysis. Our results revealed positive sentiment prior to the spread of the disease. The sentiment then turned negative as the disease spread, accompanied by a large amount of fear as rumors. In a thematic analysis we also uncovered nine key topics on the disease including, but not limited to, prevention, symptoms and spread of disease. Our study will provide an understanding of social media and public health outbreak surveillance. The findings of the research revealed the usefulness of twitter mining to illuminate public health education

Social Media for Exploring Adverse Drug Events Associated with Multiple Sclerosis

Multiple Sclerosis (MS) affects 400,000 people in the USA and almost 2.5 million people worldwide. There is no cure for MS. A variety of disease-modifying therapies are currently available. They aim to reduce disease activity that ultimately leads to disability. However, such drugs have adverse effects that vary widely among patients making the choice of a suitable drug particularly challenging. With the proliferation of social media, this research aims to understand the perspective of people with MS on social media (Twitter) in regard to Adverse Drug Events (ADEs) and to analyze ADEs as perceived by MS patients. This study helps in understanding ADEs associated with MS drugs and can further inform future medical research by highlighting and prioritizing additional clinical trials needed to better assess such adverse drug effects

A Novel Framework for Crop Pests and Disease Identification Using Social Media

Pest and disease determination are among significant issues emerging in agriculture since they influence the generation of agribusiness. Persistent change of the daily costs of Agri-products is destabilizing to a nation’s economy and will impact the nation in the long-run. One factor that influences the persistent changes in daily costs is changes in production. Early identification of crop pests and diseases using smart technology will generously improve production. This paper discusses the existing methods/techniques used to identify crop pests and disease and proposes a novel framework using social media and expert systems. The practical contribution of this research is a conceptual framework for pests and disease identification in agriculture using social media

A framework for intelligent IoT firmware compliance testing

The recent mass production and usage of the Internet of Things (IoT) have posed serious concerns due to the unavoidable security complications. The firmware of IoT systems is a critical component of IoT security. Although multiple organizations have released security guidelines, few IoT vendors are following these guidelines properly, either due to a lack of accountability or the availability of appropriate resources. Some tools for this purpose can use static, dynamic, or fuzzing techniques to test the security of IoT firmware, which may result in false positives or failure to discover vulnerabilities. Furthermore, the vast majority of resources are devoted to a single subject, such as networking protocols, web interfaces, or Internet of Things computer applications. This paper aims to present a novel method for conducting compliance testing and vulnerability evaluation on IoT system firmware, communication interfaces, and networking services using static and dynamic analysis. The proposed system detects a broad range of security bugs across a wide range of platforms and hardware architectures. To test and validate our prototype, we ran tests on 4300 firmware images and discovered 13,000+ compliance issues. This work, we believe, will be the first step toward developing a reliable automated compliance testing framework for the IoT manufacturing industry and other stakeholders

Health Information systems capabilities and Hospital performance – An SEM analysis

The evaluation of the value generated by IT applications in general and hospital IT/IS, in particular, is an essential aspect of the research within the IS discipline. IT investment and IS capability as its functional manifestation can help improve the performance of hospitals. However, the estimated and expected efficiencies and improvement in care quality remain evasive and have yielded mixed evidence. One key finding that emerges from the research is that IT does bring value to organizations, but not in isolated cases. Instead, IT can create a synergic relationship that improves business performance by creating a process in an organization when coupled with organizational factors. We introduce hospital function efficiency as an intermediate business process that mediates HIT and hospital performance. Thus, our research investigates the impact of HIT capabilities on hospital quality of care through the hospital functional efficiency as a mediating variable using a structural equational modeling approach