Privacy Concerns regarding Wearable IoT Devices: How it is Influenced by GDPR?

Internet of Things (IoT) devices have implications for health and fitness. Fitness wearables can promote healthy behavior and improve an individual’s overall health and quality of life. Even though fitness wearables have various benefits, privacy concerns regarding the data collected remain as a major barrier to adoption of fitness wearables. Intrinsic factors like disposition to value privacy and extrinsic factors like privacy policies and General Data Protection Regulation (GDPR) can influence users’ privacy concerns. This research uses experimental design to understand how these factors influence privacy concerns. The results suggest that GDPR reduces the average privacy concerns of users. The study also shows that higher perception of effectiveness of privacy policy reduces the perception of privacy risks and increases the perception of privacy control. This study illustrates the effect of users’ perceptions on factors like privacy policy, privacy control and GDPR on mitigating privacy concerns

Why Not Let Users Speak with Photos? An Experiment Investigating the Mechanism of Multimodal Reviews (Text & Image) on Purchase Intention

eCommerce platforms increasingly allow consumers to post their reviews using both text and images. However, most research focuses on text-only reviews, widening the gap between what happens in industry and academic research. Our understanding of multimodal reviews and their impact mechanism on consumer decisions remain unclear. Drawing on multimodal literature in communication, we first explain what multimodal reviews are and further classify them into denotative types (DT) and connotative types (CT). Next, we use the rhetorical theory to explain how reviews influence consumers’ purchase intention. We will conduct a set of experiments and explicitly measure the three rhetoric appeals (pathos, logos, ethos) for each type of review. Our approach allows us to quantify and compare the strength of each appeal, unambiguously showing the causal relationship between reviews and consumers’ purchase intention. Our study results will inform whether platform managers should implement multimodal reviews (text and image)

A Brief History of the Midwest Association for Information Systems: 2005-2020

The Midwest Association for Information Systems (MWAIS), founded in 2005, was recognized as an outstanding chapter of the Association for Information Systems (AIS) for all five years of the award (2014, 2015, 2016, 2017, and 2018). MWAIS continues to grow and serve academics in the Midwest and the surrounding region through annual conferences, meetings and receptions at national and international conferences, and through its journal, Journal of the Midwest Association for Information Systems (JMWAIS). This article briefly describes the impetus and actors instrumental in the creation of the association and the current state of MWAIS, its conferences, and the journal

The dark side of information systems use: Three essays

Information systems (IS) have various benefits to individuals and society and have become highly intertwined with everyday life. Even though these technologies are very useful, it has also introduced unique sets of societal challenges. Personal use of IS can have “dark sides” including IT use related stress, interruptions, addiction, and misuse. We will focus on three major aspects of how information systems affect individuals in a negative way –problematic use of technology, privacy concerns, and the role of IS in shaping cognitive bias. This dissertation proposal consists of three essays that investigates these dark side of IS use. First essay examines technology overuse (or technology addiction) and how it affects an individual’s mental wellbeing. We propose and empirically test a feedback relationship between increased technology use and mental wellbeing using cognitive theories of psychology. This new model addresses the conflicts in the current literature. In second essay, we use communication privacy management theory and signaling theory to examine different ways to mitigate privacy concerns. Individuals use devices that follow them everywhere including wearables like fitness trackers or smart watches, smart phones, etc. that constantly collect data about them. The pervasiveness of these technology has made us vulnerable to privacy and security concerns. Our study suggests that privacy policies, governmental regulation, and privacy settings are information signals that can reduce user’s privacy concerns. In addition, internet and other information media are associated with increase in hate crimes. Social media can provide a huge amount of information that may influence the cognitive biases of individuals which can further affect their judgement and action. Hence, it is important to understand how information system, particularly social media, shape the cognitive biases in individuals. In the third essay, we examine how social media influence cognitive bias using dual process theory

The dark side of information systems use: Three essays

Information systems (IS) have various benefits to individuals and society and have become highly intertwined with everyday life. Even though these technologies are very useful, it has also introduced unique sets of societal challenges. Personal use of IS can have “dark sides” including IT use related stress, interruptions, addiction, and misuse. We will focus on three major aspects of how information systems affect individuals in a negative way –problematic use of technology, privacy concerns, and the role of IS in shaping cognitive bias. This dissertation proposal consists of three essays that investigates these dark side of IS use. First essay examines technology overuse (or technology addiction) and how it affects an individual’s mental wellbeing. We propose and empirically test a feedback relationship between increased technology use and mental wellbeing using cognitive theories of psychology. This new model addresses the conflicts in the current literature. In second essay, we use communication privacy management theory and signaling theory to examine different ways to mitigate privacy concerns. Individuals use devices that follow them everywhere including wearables like fitness trackers or smart watches, smart phones, etc. that constantly collect data about them. The pervasiveness of these technology has made us vulnerable to privacy and security concerns. Our study suggests that privacy policies, governmental regulation, and privacy settings are information signals that can reduce user’s privacy concerns. In addition, internet and other information media are associated with increase in hate crimes. Social media can provide a huge amount of information that may influence the cognitive biases of individuals which can further affect their judgement and action. Hence, it is important to understand how information system, particularly social media, shape the cognitive biases in individuals. In the third essay, we examine how social media influence cognitive bias using dual process theory

The dark side of information systems use: Three essays

Information systems (IS) have various benefits to individuals and society and have become highly intertwined with everyday life. Even though these technologies are very useful, it has also introduced unique sets of societal challenges. Personal use of IS can have “dark sides” including IT use related stress, interruptions, addiction, and misuse. We will focus on three major aspects of how information systems affect individuals in a negative way –problematic use of technology, privacy concerns, and the role of IS in shaping cognitive bias. This dissertation proposal consists of three essays that investigates these dark side of IS use. First essay examines technology overuse (or technology addiction) and how it affects an individual’s mental wellbeing. We propose and empirically test a feedback relationship between increased technology use and mental wellbeing using cognitive theories of psychology. This new model addresses the conflicts in the current literature. In second essay, we use communication privacy management theory and signaling theory to examine different ways to mitigate privacy concerns. Individuals use devices that follow them everywhere including wearables like fitness trackers or smart watches, smart phones, etc. that constantly collect data about them. The pervasiveness of these technology has made us vulnerable to privacy and security concerns. Our study suggests that privacy policies, governmental regulation, and privacy settings are information signals that can reduce user’s privacy concerns. In addition, internet and other information media are associated with increase in hate crimes. Social media can provide a huge amount of information that may influence the cognitive biases of individuals which can further affect their judgement and action. Hence, it is important to understand how information system, particularly social media, shape the cognitive biases in individuals. In the third essay, we examine how social media influence cognitive bias using dual process theory

The dark side of information systems use: Three essays

Information systems (IS) have various benefits to individuals and society and have become highly intertwined with everyday life. Even though these technologies are very useful, it has also introduced unique sets of societal challenges. Personal use of IS can have “dark sides” including IT use related stress, interruptions, addiction, and misuse. We will focus on three major aspects of how information systems affect individuals in a negative way –problematic use of technology, privacy concerns, and the role of IS in shaping cognitive bias. This dissertation proposal consists of three essays that investigates these dark side of IS use. First essay examines technology overuse (or technology addiction) and how it affects an individual’s mental wellbeing. We propose and empirically test a feedback relationship between increased technology use and mental wellbeing using cognitive theories of psychology. This new model addresses the conflicts in the current literature. In second essay, we use communication privacy management theory and signaling theory to examine different ways to mitigate privacy concerns. Individuals use devices that follow them everywhere including wearables like fitness trackers or smart watches, smart phones, etc. that constantly collect data about them. The pervasiveness of these technology has made us vulnerable to privacy and security concerns. Our study suggests that privacy policies, governmental regulation, and privacy settings are information signals that can reduce user’s privacy concerns. In addition, internet and other information media are associated with increase in hate crimes. Social media can provide a huge amount of information that may influence the cognitive biases of individuals which can further affect their judgement and action. Hence, it is important to understand how information system, particularly social media, shape the cognitive biases in individuals. In the third essay, we examine how social media influence cognitive bias using dual process theory

A Brief History of the Midwest Association for Information Systems: 2005-2020

The Midwest Association for Information Systems (MWAIS), founded in 2005, was recognized as an outstanding chapter of the Association for Information Systems (AIS) for all five years of the award (2014, 2015, 2016, 2017, and 2018). MWAIS continues to grow and serve academics in the Midwest and the surrounding region through annual conferences, meetings and receptions at national and international conferences, and through its journal, Journal of the Midwest Association for Information Systems (JMWAIS). This article briefly describes the impetus and actors instrumental in the creation of the association and the current state of MWAIS, its conferences, and the journal.This article is published as Paul, C., Hosack, B., & Scheibe, K.P. (2020). A Brief History of the Midwest Association for Information Systems: 2005-2020. Journal of the Midwest Association for Information Systems| Volume 2020, Issue 1, pp. 45-55. Posted with permission. </p

Privacy Concerns regarding Wearable IoT Devices: How it is Influenced by GDPR?

Internet of Things (IoT) devices have implications for health and fitness. Fitness wearables can promote healthy behavior and improve an individual’s overall health and quality of life. Even though fitness wearables have various benefits, privacy concerns regarding the data collected remain as a major barrier to adoption of fitness wearables. Intrinsic factors like disposition to value privacy and extrinsic factors like privacy policies and General Data Protection Regulation (GDPR) can influence users’ privacy concerns. This research uses experimental design to understand how these factors influence privacy concerns. The results suggest that GDPR reduces the average privacy concerns of users. The study also shows that higher perception of effectiveness of privacy policy reduces the perception of privacy risks and increases the perception of privacy control. This study illustrates the effect of users’ perceptions on factors like privacy policy, privacy control and GDPR on mitigating privacy concerns.This proceeding is published as Paul, C., Scheibe, K.P., Nilakanta, S., Privacy Concerns regarding Wearable IoT Devices: How it is Influenced by GDPR? Proceedings of the 53rd Hawaii International Conference on System Sciences, Maui, Hawaii, USA.,Jan 7, 2020 - Jan 10, 2020.</p

An analysis of the ripple effect for disruptions occurring in circular flows of a supply chain network*

This paper examines the ripple effect in supply chains due to circular flows embedded in supply chain design. Although supply chains are complex and nonlinear, circular flows exist in real-world supply chains but are often unknown or hidden to supply chain managers. These circular flows exist when a Tier 2 supplier is also a Tier 3 (or higher) supplier in the supply chain network. Additionally, a circular network can occur when a supplier is also a customer in the same network. In the presence of these types of supply chain network structures, supply chains may experience a ripple effect (or disruption propagation) in which disruptions impact supply chain performance. Using a real-world supply chain structure, we examine the effect of circular flows on the ripple effect and identify how this influences the supply chain’s resilience to disruptions. We offer managers and researchers insights that improve the understanding of how circular flows exacerbate the ripple effect.Young Woong Park, Jennifer Blackhurst, Chinju Paul & Kevin P. Scheibe (2021): An analysis of the ripple effect for disruptions occurring in circular flows of a supply chain network*, International Journal of Production Research, DOI: 10.1080/00207543.2021.1934745. Posted with permission </p