6 research outputs found

    HOW DOES THE EMR AFFECT THE COMMUNICATION BETWEEN HEALTHCARE PROVIDER GROUPS DURING COVID-19: NURSES PERSPECTIVE

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    The growth in usage of Electronic Medical Records (EMRs) in hospitals in the United States have introduced various challenges to the communication between nurses and physicians. During a pandemic such as COVID-19, utilizing EMR communication is vital for healthcare provider groups. Still, lots of factors affect the use of EMR for nurse-physician communication. We will utilize a grounded theory approach to try to uncover factors affecting EMR-enabled communication between nurses and physicians. This study will take a longitudinal qualitative approach to collect data from nurses prior to and during COVID-19 pandemic. We expect to uncover factors affecting nurse-physician communication both before the pandemic and during the pandemic. This will be the first research that takes a grounded theory approach to longitudinally explore factors affecting nurse-physician communication. By uncovering these factors, we hope to unveil hidden factors that can be further researched by researchers and dealt with by practitioners

    On the Road to an Automotive Digital Twin

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    The teaching case describes BMW’s ongoing journey to implement a digital twin at its plant in Spartanburg, SC with the help of NavVis, a reality capture solution provider. Plant Spartanburg has long been an innovation center for BMW’s automotive group, which, since its opening in 1994, has produced 1,500 vehicles each day. The case reflects on the different phases of becoming a virtually enabled plant, starting with point data that captures 3D images of factory halls and floors, to turning these 3D images into interactive digital environments, to thinking about use cases and simulations that can mirror the physical operations taking place at the plant in real-time. The case is written from the perspective of Knudt Flor, former President and CEO of Plant Spartanburg, and his aspirations in his new role as Senior Vice President for Innovation and Industry Engagement at the College of Charleston to utilize what he has observed during BMW’s digital twin journey for bringing higher education into the industry fold again

    DISTRESS, EUSTRESS, AND INTENTIONS TO CONTINUE DISTANCE LEARNING IN THE CONTEXT OF RAPID SHIFTS TO ONLINE COURSES

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    COVID-19 brought significant, rapid changed to education, including information systems education. One of the most significant of these changes was the abrupt transition from face-to-face instruction to distance learning. As is often the case with abrupt transitions, this shift was stress inducing for many affected, including students. In this extended abstract we describe an empirical study of two types of distance learning stress, distress [stress that is detrimental to well-being] and eustress [stress that enhances well-being] in the context of distance learning. Using data from a survey of higher education students in the United States, we demonstrate that the perceived abruptness of the transition to distance learning had a positive impact on distress, and a negative impact on eustress. Further, distress and eustress impacted intentions to continue with distance learning, but these impacts were fully mediated by distance learning satisfaction

    Factors Affecting the Success and Failure of CRM Implementations

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    This study investigates the issue of the high failure rate of customer relationship management (CRM) systems. By collecting data from different groups of users and experts, this study aims to reveal factors that both affect the success of CRM systems and those that make up the success of CRM systems. The main goal is to deliver an individual-level perspectives\u27 CRM success model that is based on perspectives of individuals from different functional groups. To do so, this paper will take a qualitative approach in an attempt to divulge what CRM success is and what contributes to this success. In order to collect data and analyze the data in a way that paves the way for inducing a mid-range theory, this study utilizes a grounded theory method. The grounded theory method allowed researchers to have three stages of data collection, which facilitated changing interview questions to probe more into the phenomenon. After collecting data, interviews were transcribed and coded. This yielded a theoretical model incorporating a novel second order dependent variable and other variables along with relationships between these variables. The induced model is a unique model that features perspectives of both researchers and practitioners, after collecting data from operations, commercial, and IT managers, and project management and information systems success researchers. Another unique feature of the model is that it incorporates both early implementation and continuance factors that affect the success of CRM system. A third interesting finding is the nature of CRM success construct. CRM success was induced as a second order construct which is made up of four components (project management success, overall success, bottom-line success, and system success) that represent CRM success from different individual perspectives. The theoretical model is considered to be a breakthrough step towards understanding the success of CRM systems. By integrating agile software development methodologies with IS continuance and proposing how both these constructs are related to the success of CRM systems, this study offers a holistic process view of CRM success that is strictly based on individual perspectives. The biggest contribution this research makes is offering a new success model for researchers to test in different contexts and under different conditions

    The Effect of Patient Centeredness on Nurses’ Security Policy Compliance

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    This paper studies factors affecting nurses\u27 intentions to comply with security policies when faced with password sharing decisions. We extend the unified model of information security policy compliance (UMISPC) by adding the concept of patient centeredness. This extension of the model will hopefully help both researchers and practitioners further understand the effect of patient centeredness on the practice of password sharing when perceived as positively affecting the patient. In this conceptual paper, we propose an extended UMISPC. We propose a methodology to test the model on a sample of 250 to 300 nurses. We posit a model that studies the effect of patient centeredness on the relationship between various factors affecting the nurse’s intention and the nurses\u27 intention of complying with security policies. By proposing an extended UMISPC, this introduces the effect of patient centeredness on healthcare provider intentions to ISS research and it introduces UMISPC to healthcare literature. Keywords UMISPC, Patient Centeredness, EMR, ISS, Password Sharing

    Surveillance Concerns as Predictors of Obfuscation and the Chilling Effect in the Context of a Pandemic

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    Potential negative consequences of digital surveillance represent an area of increasing concern due to the rising impact of digital and mobile technologies on daily life. The COVID-19 pandemic increased these concerns as governments worldwide turned to both digital and non-digital surveillance to help in the battle to control the spread of the disease. Due to this, surveillance creep (the use of supposedly limited-scope surveillance for increasingly pervasive purposes) is a growing concern. Concerns over digital surveillance have led to some individuals turning to protective measures, including obfuscation and the chilling effect. Obfuscation involves intentionally providing ambiguous or misleading information to interfere with surveillance activities. The chilling effect is the decision to not engage in some behavior due to concerns about the consequences of that behavior. Often, obfuscation is a general protective measure that guards against surveillance across applications and reflects general concerns about privacy and surveillance. In contrast, the chilling effect is application and concern specific. In this paper, we use a research model that draws on the health beliefs model and protection motivation along with data from a survey of American social media users to investigate antecedents of obfuscation and the chilling effect in the context of social media surveillance related to COVID-19. Results indicate that age, sex, social media experience, social media habit, and the perceived surveillance severity impact obfuscation. These same antecedents affect the chilling effect, as does perceived surveillance vulnerability. Although our research is exploratory, the results of our study hold implications for both research and practice. doi:10.17705/3JSIS.0001
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