Personalization-Privacy Paradox in Using Mobile Health Services

2023 | European Conference On Information Systems | Citations: 0

Authors: Klossner, Sara; Ghanbari, Hadi; Rossi, Matti; Sarv, Lill

Abstract: The rapid growth of the population and the increase in life expectancy put inte ... Expand

Abstract: The rapid growth of the population and the increase in life expectancy put intense pressure on the healthcare systems worldwide. Mobile health applications (m-health apps) can help ease the situation by offering highly personalized services that empower individuals to take better care of their health. To reach their full potential, m-health apps must continuously gather personal health data from users, which leads to privacy concerns. We study the influence of users' privacy concerns on their intention to disclose personal health data to m-health apps. Using an online survey and conducting SEM-PLS, we show that a personalization-privacy paradox is present in the context of m-health apps. While respondents claim to have privacy concerns about using m-health apps, their concerns do not negatively affect their self-disclosure intentions nor their intention to continue using the apps. Our results show that the magnitude of personalization-privacy paradox is influenced by demographic factors. Collapse

Topics: information privacy concern mobile health mobile application usability personalization

Methods: survey partial least squares path modeling SEM tool survey design partial least squares regression

Opposing Effects of Response Time in Human–Chatbot Interaction

2022 | Business & Information Systems Engineering | Citations: 0

Authors: Gnewuch, Ulrich; Morana, Stefan; Adam, Marc T. P.; Maedche, Alexander

Abstract: Research has shown that employing social cues (e.g., name, human-like avatar) in ... Expand

Abstract: Research has shown that employing social cues (e.g., name, human-like avatar) in chatbot design enhances users’ social presence perceptions and their chatbot usage intentions. However, the picture is less clear for the social cue of chatbot response time. While some researchers argue that instant responses make chatbots appear unhuman-like, others suggest that delayed responses are perceived less positively. Drawing on social response theory and expectancy violations theory, this study investigates whether users’ prior experience with chatbots clarifies the inconsistencies in the literature. In a lab experiment (N = 202), participants interacted with a chatbot that responded either instantly or with a delay. The results reveal that a delayed response time has opposing effects on social presence and usage intentions and shed light on the differences between novice users and experienced users – that is, those who have not interacted with a chatbot before vs. those who have. This study contributes to information systems literature by identifying prior experience as a key moderating factor that shapes users’ social responses to chatbots and by reconciling inconsistencies in the literature regarding the role of chatbot response time. For practitioners, this study points out a drawback of the widely adopted “one-design-fits-all” approach to chatbot design. Collapse

Topics: social presence usage intention mobile phone usability website

Methods: chatbot experiment survey laboratory experiment statistical power analysis

Theories: social response theory

Smart Tourism Technologies’ Ambidexterity: Balancing Tourist’s Worries and Novelty Seeking for Travel Satisfaction

2022 | Information Systems Frontiers | Citations: 0

Authors: Goo, Jahyun; Huang, C. Derrick; Yoo, Chul Woo; Koo, Chulmo

Abstract: Tourists deal with two intrinsic, uncertainty-driven attributes of travel, touri ... Expand

Abstract: Tourists deal with two intrinsic, uncertainty-driven attributes of travel, tourist worries and novelty seeking, that simultaneously affect their transaction and travel experience satisfaction. Rapid technological advances coupled with uncertainties caused by momentous events such as COVID-19 highlight the increasing significance of smart technologies in the tourism industry. This study explores the relationships between novelty and worries and travel satisfaction, as well as examines how tourists enhance their quality of trips with the use of smart tourism technologies. We find the tourists’ novelty seeking would enhance the trip experience, leading to overall travel satisfaction. In contrast, tourist worries, particularly in trip planning, would negatively affect tourists’ transaction satisfaction, which in turn impacts the overall travel experience satisfaction. As a moderator in its ambidextrous role, smart tourism technologies help tourists to develop a sense of novelty when planning and visiting a destination and mitigate the worries emanated from the uncertainty of transaction made during the pre-trip planning. Insights and implications of such findings are discussed for both theory and practice. Collapse

Topics: usability personalization information exchange self efficacy website

Methods: survey theory development partial least squares regression partial least squares path modeling PLS tool

Theories: uncertainty reduction theory

Customer behavior of online group buying: an investigation using the transaction cost economics theory perspective

2022 | Electronic Markets | Citations: 1

Authors: Hossain, Mohammad Alamgir; Akter, Shahriar; Rahman, Shams

Abstract: As online group buying (OGB) businesses increasingly face strong competition, un ... Expand

Abstract: As online group buying (OGB) businesses increasingly face strong competition, understanding the beliefs, attitudes, and behaviors of their customers is critical. Hence, the purpose of this study is to understand why customers choose one OGB vendor over others. By extending the transaction cost economics (TCE) theory, we explain OGB customers’ purchase behavior. We conducted a two-stage online survey. The first survey (T1) captured the perceptions of the respondents before making a purchase (i.e., purchase intention and its antecedents, namely unpredictability, trust, customizability, and frequency of OGB use). In the second stage (T2), we collected responses from the participants of the first study who committed at least one purchase in the last month. The second survey collected responses about the frequency of OGB use, purchase behavior, and online customer review (OCR). Data were analyzed with partial-least-square-based structural equation modelling technique (PLS-SEM). Results suggest that unpredictability, trust, and customizability influence purchase intention and are influenced by the frequency of OGB use. In addition, customizability decreases unpredictability. Finally, in seeking an answer to how to convert potential customers into actual customers, we found that OCR is a moderator of the relationship between purchase intention and purchase behavior. The findings from the longitudinal study extend TCE theory in electronic markets by capturing the OGB dynamics (i.e., antecedents and effects), the mediating effects (i.e., purchase intention) and the moderating effect (i.e., OCR) in a robust nomological relationship. Collapse

Topics: website personalization usability frequency of use asset specificity

Methods: survey partial least squares path modeling partial least squares regression structural equation modeling longitudinal research

Theories: information systems theory unified theory of acceptance and use of technology transaction cost economics

The more we get together, the more we can save? A transaction cost perspective

2022 | International Journal of Information Management | Citations: 3

Authors: Li, Chia-Ying; Fang, Yu-Hui

Abstract: Although sharing is not a new subject, sharing behavior enabled by peer-to-peer ... Expand

Abstract: Although sharing is not a new subject, sharing behavior enabled by peer-to-peer software technologies is a recent phenomenon. Studies have explored the impact of the sharing economy on consumers by applying the theory of planned behavior, complexity theory, and social exchange theory, but few studies have explored transaction costs in the sharing economy. By integrating network externalities with transaction cost theory, this study ex­ plores transaction costs and their determinants in the context of the sharing economy. Structural equation modeling analysis was conducted on data from 375 users of Airbnb. The findings indicate that personalization of asset specificity and transaction frequency negatively influence transaction costs. Additionally, learning of asset specificity and transaction uncertainty positively affects transaction costs, which in turn influence behavioral intention. Furthermore, perceived complementarity has a direct effect on transaction uncertainty. Finally, the number of users moderates the relationship between transaction costs and behavioral intention. This under­ standing will assist managers in numerous industries impacted by the rapid development of the sharing economy by providing them with strategies for coping with this trend. Collapse

Topics: Airbnb sharing platform network effect behavioral intention asset specificity

Methods: survey statistical hypothesis test data transformation factor analysis descriptive statistic

Theories: transaction cost economics

Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation

2022 | Information Systems Research | Citations: 0

Authors: Maier, Christian; Laumer, Sven; Thatcher, Jason Bennett; Wirth, Jakob; Weitzel, Tim

Abstract: This study employs a mixed-methods approach to examine how trial use of an IT ca ... Expand

Abstract: This study employs a mixed-methods approach to examine how trial use of an IT can induce stress that leads individuals to reject the IT. In our qualitative study (Study 1), we identify eight technostress creators encountered during trial use of a specific IT. Then, in our quantitative study (Study 2), we show that these trial-period technostress creators reduce user satisfaction and increase intention to reject. Also, we demonstrate that motivation to learn and personal innovativeness in IT, two individual differences, moderate the influence of trial-period technostress creators on the intention to reject. Our mixed-methods study contributes to technostress research by identifying the specific technostress creators that influence the user during trial periods and by articulating the nature of this influence. By doing so, we illustrate how the interplay of the context- and domain-specific individual differences influence the relationship between technostress creators and the intention to reject. We extend adoption research by connecting technostress creators to rejection of IT in the trial period of IT use. Collapse

Topics: technostress tablet information system use user satisfaction usability

Methods: qualitative interview mixed method survey qualitative coding data transformation

Match or Mismatch? How Matching Personality and Gender between Voice Assistants and Users Affects Trust in Voice Commerce

2022 | HICSS | Citations: 4

Authors: Reinkemeier, Fabian; Gnewuch, Ulrich

Abstract: Despite the ubiquity of voice assistants (VAs), they see limited adoption in the ... Expand

Abstract: Despite the ubiquity of voice assistants (VAs), they see limited adoption in the form of voice commerce, an online sales channel using natural language. A key barrier to the widespread use of voice commerce is the lack of user trust. To address this problem, we draw on similarity-attraction theory to investigate how trust is affected when VAs match the user’s personality and gender. We conducted a scenario-based experiment (N = 380) with four VAs designed to have different personalities and genders by customizing only the auditory cues in their voices. The results indicate that a personality match increases trust, while the effect of a gender match on trust is non-significant. Our findings contribute to research by demonstrating that some types of matches between VAs and users are more effective than others. Moreover, we reveal that it is important for practitioners to consider auditory cues when designing VAs for voice commerce. Collapse

Topics: personality conversational agent usability digital distribution social media

Methods: experiment descriptive statistic survey chatbot PLS tool

Algorithm awareness: Why user awareness is critical for personal privacy in the adoption of algorithmic platforms?

2022 | International Journal of Information Management | Citations: 8

Authors: Shin, Donghee; Kee, Kerk F.; Shin, Emily Y.

Abstract: Understanding how algorithms shape users’ online experiences is a prerequisite t ... Expand

Abstract: Understanding how algorithms shape users’ online experiences is a prerequisite to developing an effective al­ gorithm design. Due to the rapid algorithmification of platforms, it is timely to examine users’ awareness of algorithms on online platforms because these algorithms can shape everyday decisions and interactions through mediating, gatekeeping, and structuring user interactions. Focusing on the role of algorithm awareness (AA) in the privacy calculus process, we investigate users’ intention to disclose personal information when using a platform with personalized algorithms. By conceptualizing AA with a range of theoretical and behavioral vari­ ables, we examine how users’ self-efficacy affects their privacy concerns when they adopt, consume, and interact with such platforms. The findings show that AA leads users to envisage, understand, and interact with algorithms depending on their understanding of the control of the information flow embedded within them. The awareness that users have regarding algorithms influences the trust of algorithmic processes and the way users evaluate privacy concerns and self-disclosures. The cognitive user processes of AA provide conceptual frameworks for algorithm design and a practical guideline for the design of personalized algorithms. Collapse

Topics: privacy self efficacy information privacy concern sensemaking artificial intelligence

Methods: computational algorithm survey partial least squares regression literature study experiment

Theories: privacy calculus theory

Customer-initiated and firm-initiated online shopping visits under competition for attention: A conceptual model and empirical analysis

2022 | Decision Support Systems | Citations: 0

Authors: Bhatnagar, Amit; De, Prabuddha; Sen, Arun; Sinha, Atish P.

Abstract: Customer-initiated vs. firm-initiated visitsMarketing researchers distinguish b ... Expand

Abstract: Customer-initiated vs. firm-initiated visitsMarketing researchers distinguish between customer-initiated channels and firm-initiated channels [7,28,51,79]. Customer-initiated channels, e.g., organic search and paid search, allow a consumer to search for information on her own initiative. On the other hand, firminitiated channels, e.g., banner ads and Facebook ads, help a firm initiate marketing interventions to attract traffic to the firm's website. As A. Bhatnagar et al. Collapse

Topics: search engine Facebook electronic commerce website marketing management

Methods: conceptual modelling probit regression theoretical contribution company material literature study

Exploring the role of personality, trust, and privacy in customer experience performance during voice shopping: Evidence from SEM and fuzzy set qualitative comparative analysis

2021 | International Journal of Information Management | Citations: 0

Authors: Bawack, Ransome Epie; Wamba, Samuel Fosso; Carillo, Kevin Daniel André

Abstract: Voice shopping is becoming increasingly popular among consumers due to the ubiqu ... Expand

Abstract: Voice shopping is becoming increasingly popular among consumers due to the ubiquitous presence of artificial intelligence (AI)-based voice assistants in our daily lives. This study explores how personality, trust, privacy concerns, and prior experiences affect customer experience performance perceptions and the combinations of these factors that lead to high customer experience performance. Goldberg’s Big Five Factors of personality, a contextualized theory of reasoned action (TRA-privacy), and recent literature on customer experience are used to develop and propose a conceptual research model. The model was tested using survey data from 224 US-based voice shoppers. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). PLS-SEM revealed that trust and privacy concerns mediate the relationship between personality (agreeableness, emotional instability, and conscientiousness) and voice shoppers’ perceptions of customer experience performance. FsQCA reveals the combinations of these factors that lead to high perceptions of customer experience performance. This study contributes to voice shopping literature, which is a relatively understudied area of e-commerce research yet an increasingly popular shopping method. Collapse

Topics: information privacy concern smart speaker personality privacy electronic commerce

Methods: survey partial least squares path modeling structural equation modeling literature study theory development

Theories: big five model theory of reasoned action