Examining the case of French hesitancy toward IDaaS solutions: Technical and social contextual factors of the organizational IDaaS privacy calculus

2023 | Information & Management | Citations: 0

Authors: Abdalla Mikhaeil, Christine; James, Tabitha L.

Abstract: Identity-as-a-service (IDaaS) is a cloud security service to which companies can ... Expand

Abstract: Identity-as-a-service (IDaaS) is a cloud security service to which companies can outsource the identity and access management (IAM) functions that administer their employee’s access to organizational resources. Engaging with the information systems (IS) privacy literature, our qualitative analysis develops a framework for an organiza­ tional privacy calculus that informs French organizational consumers’ decisions to pursue IDaaS solutions. We collect data from employees of a multinational IDaaS provider operating in Europe but headquartered in the US. Our case study reveals the organizational privacy calculus associated with transferring control of a primary security control to a multinational cloud service provider. Collapse

Topics: cloud computing information privacy concern marketing management privacy internet of things

Methods: qualitative interview case study company material single case study personal interview

Theories: privacy calculus theory

Gamified monetary reward designs: Offering certain versus chance-based rewards

2023 | Information Systems Journal | Citations: 0

Authors: Adam, Martin; Reinelt, Annika; Roethke, Konstantin

Abstract: To motivate visitors to engage with websites, e-tailers widely employ monetary r ... Expand

Abstract: To motivate visitors to engage with websites, e-tailers widely employ monetary rewards (e.g., vouchers, discounts) in their website designs. With advances in user interface technologies, many e-tailers have started to offer gamified monetary reward designs (MRDs), which require visitors to earn the monetary reward by playing a game, rather than simply claiming the reward. However, little is known about whether and why gamified MRDs engage visitors compared to their non-gamified counterpart. Even less is known about the effectiveness of gamified MRDs when providing certain or chance-based rewards, in that visitors do or do not know what reward they will gain for successfully performing in the game. Drawing on cognitive evaluation theory, we investigate gamified MRDs with certain or chance-based rewards and contrast them to non-gamified MRDs with certain rewards in user registration systems. Our results from a multi-method approach encompassing the complementary features of a randomised field experiment (N = 651) and a randomised online experiment (N = 330) demonstrate differential effects of the three investigated MRDs on user registration. Visitors encountering either type of gamified MRD are more likely to register than those encountering a non-gamified MRD. Moreover, gamified MRDs with chance-based rewards have the highest likelihood of user registrations. We also show that MRDs have distinct indirect effects on user registration via anticipated experiences of competence and sensation. Overall, the paper offers theoretical insights and practical guidance on how and why gamified MRDs are effective for e-tailers. Collapse

Topics: website electronic mail electronic commerce gamification website design

Methods: experiment randomized field experiment survey experimental task mixed method

Theories: cognitive evaluation theory self determination theory

How Review Quality and Source Credibility Interacts to Affect Review Usefulness: An Expansion of the Elaboration Likelihood Model

2023 | Information Systems Frontiers | Citations: 0

Authors: Aghakhani, Navid; Oh, Onook; Gregg, Dawn; Jain, Hemant

Abstract: This study extends our understanding of what makes an online review useful by ex ... Expand

Abstract: This study extends our understanding of what makes an online review useful by examining the effects of review quality (i.e., as a composite variable of review comprehensiveness and review topic consistency) on review usefulness, and the moderating effects of source credibility on the relationship between review quality and review usefulness. The Elaboration Likelihood Model, convergence theory, and cueing effect literature are used to define the variables of review comprehensiveness and review topic consistency. Analyses of 27,517 restaurant reviews from Yelp show that review topic consistency has a positive effect on review usefulness, but, contrary to our hypothesis, review comprehensiveness has a negative effect on review usefulness. We also found source credibility positively moderates the effect of review comprehensiveness on review usefulness, but negatively moderates the effect of review topic consistency on review usefulness. Theoretical and practical implications are discussed. Collapse

Topics: online review user-generated content Python website data breach

Methods: topic model term frequency–inverse document frequency NLTK statistical hypothesis test robustness check

Theories: elaboration likelihood model

Relating Social Media Diffusion, Education Level and Cybersecurity Protection Mechanisms to E-Participation Initiatives: Insights from a Cross-Country Analysis

2023 | Information Systems Frontiers | Citations: 0

Authors: Ahangama, Supunmali

Abstract: Virtual Social Networks (VSN) act as a catalyst for the success of the active pa ... Expand

Abstract: Virtual Social Networks (VSN) act as a catalyst for the success of the active participation of citizens in information sharing, collaboration, and decision making. VSN based e-participation tools allow many-to-many communication and collaboration near real-time with users who might be in geographically dispersed locations. It provides a platform to voice opinions and perspectives and share them with others in new and innovative ways. Cybersecurity is a key area that needs to be considered for the success and continuous use of e-participation systems as it protects user privacy and helps to avoid scams, harassment, and misinformation. The intervening effect of cybersecurity protection mechanisms and citizens’ education level on the relationship between VSN diffusion and e-participation initiatives is explored in the proposed research model presented in this paper. Moreover, this research model is explored for different stages of e-participation (e-information, e-consultation, and e-decision making) and the five dimensions of cybersecurity (legal, technical, organizational, capacity building, and cooperation). The findings indicate that improved VSN usage has increased e-participation (especially in e-consultation and e-decision making) as a result of improved cybersecurity protection and public education, highlighting the varying importance of different cybersecurity protection measures for three stages of e-participation. Thus, considering the recent problems like platform manipulation, misinformation and data breaches associated with the use of VSN for e-participation, this study emphasizes the importance of regulations, policies, partnerships, technical frameworks, and research to ensure cybersecurity, as well as the importance of education to enable the public to interact productively in e-participation activities. This study is performed using publicly available data from 115 countries and the research model is developed, drawing theoretical basis from the Protection Motivation Theory, Structuration Theory, and Endogenous Growth Theory. This paper recognizes the theoretical and practical implications, and limitations while recommending future research directions. Collapse

Topics: IT security decision making human resource management social network government system

Methods: survey partial least squares path modeling cross sectional research mediation analysis archival research

Theories: protection motivation theory structuration theory

Detecting Privacy Threats with Machine Learning: A Design Framework for Identifying Side-Channel Risks of Illegitimate User Profiling

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Anwar, Raja Hasnain; Zou, Yi (Zoe); Raza, Muhammad Taqi

Abstract: Privacy leakage has become prevalent and severe with the increasing adoption of ... Expand

Abstract: Privacy leakage has become prevalent and severe with the increasing adoption of the internet of things (IoT), artificial intelligence (AI), and blockchain technologies. Such data-intensive systems are vulnerable to side-channel attacks in which hackers can extract sensitive information from a digital device without actively manipulating the target system. Nevertheless, there is a scarcity of IS research on how businesses can effectively detect and safeguard against side-channel attacks. This study adopts the design science paradigm and lays the groundwork for systematic inquiry into the assessment of privacy risks related to side-channels. In this paper, we a) highlight the privacy threats posed by side-channel attacks, b) propose a machine learning-driven design framework to identify side-channel privacy risks, and c) contribute to the literature on privacy analytics using machine learning techniques. We demonstrate a use case of the proposed framework with a text classification model that uses keystroke timings as side-channel. Collapse

Topics: privacy IT security data breach information system use

Methods: design framework machine learning design science time series analysis longitudinal research

Algorithmic Transparency: Concepts, Antecedents, and Consequences – A Review and Research Framework

2023 | Communications of the Association for Information Systems | Citations: 0

Authors: Bitzer, Tobias; Wiener, Martin; Cram, W. Alec

Abstract: The widespread and growing use of algorithm-enabled technologies across many as ... Expand

Abstract: The widespread and growing use of algorithm-enabled technologies across many aspects of public and private life is increasingly sparking concerns about the lack of transparency regarding the inner workings of algorithms. This has led to calls for (more) algorithmic transparency (AT), which refers to the disclosure of information about algorithms to enable understanding, critical review, and adjustment. To set the stage for future research on AT, our study draws on previous work to provide a more nuanced conceptualization of AT, including the explicit distinction between AT as action and AT as perception. On this conceptual basis, we set forth to conduct a comprehensive and systematic review of the literature on AT antecedents and consequences. Subsequently, we develop an integrative framework to organize the existing literature and guide future work. Our framework consists of seven central relationships: (1) AT as action versus AT as perception; factors (2) triggering and (3) shaping AT as action; (4) factors shaping AT as perception; as well as AT as perception leading to (5) rational-cognitive and (6) affective-emotional responses, and to (7) (un-)intended behavioral effects. Building on the review insights, we identify and discuss notable research gaps and inconsistencies, along with resulting opportunities for future research. review of the literature on AT. Not only has such an endeavor, to our knowledge, not yet been undertaken; but more importantly, we expect that such a review will reveal critical research gaps and inconsistencies and inform future research in the area. In particular, we aim to extend past work and contribute to the extant body of knowledge by (1) strengthening the conceptual foundations of AT; (2) reviewing the AT literature in a systematic manner; and (3) deriving a research framework. In doing so, our study offers a more nuanced conceptualization of AT, including the explicit distinction between AT as action and AT as perception, and delineates AT from related concepts. Moreover, following established guidelines (e.g., vom Brocke et al., 2015;Okoli & Schabram, 2010;Paré et al., 2015;Webster & Watson, 2002) and drawing on a review sample of 50 studies (published between 2002 and 2021), our study offers a comprehensive review and synthesis of prior research on the antecedents and consequences of AT. Finally, we propose an integrative framework to organize existing and guide future work. Collapse

Topics: database system algorithmic transparency artificial intelligence website digital service

Methods: computational algorithm literature study synthesis mixed method archival research

Root Causes of Healthcare Data Breaches – A Text Analytic Approach

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Chakraborty, Aindrila; White, Garry

Abstract: What might be the root cause of the breaches in healthcare industry? Is it huma ... Expand

Abstract: What might be the root cause of the breaches in healthcare industry? Is it human negligence or technical? If it is human or insider, then what types of insider threats are there? How can these threats be detected? These are the questions this emergent research is going to address. A literature search returned very few empirical research in this area. This research analyzes the textual data as reported by the entities and examines the root causes of the data breaches. Specifically, we found nearly 40% of breaches were due to insiders. We are interested in characteristics of these insider threats since the breaches are based inside the technical perimeter of the hospital. While most research is based on numerical data, this research analyzes the textual data of breach reports. Preliminary results indicate there are different types of insider threats and awareness training has poor effectiveness. Collapse

Topics: insider threat data breach

Understanding Emojis for Financial Sentiment Analysis

2023 | International Conference on Information Systems | Citations: 0

Authors: Chen, Siyi; Xing, Frank

Abstract: ... Expand

Abstract: Collapse

Topics: application programming interface social media website cryptocurrency Python

Methods: sentiment analysis machine learning BERT deep learning experiment

The Economic Implications of Privacy Dark Patterns (PDPs)

2023 | International Conference on Information Systems | Citations: 0

Authors: Chen, Dawei; Hahn, Jungpil

Abstract: This study investigates the economic implications of privacy dark patterns (PDP ... Expand

Abstract: This study investigates the economic implications of privacy dark patterns (PDPs) through which firms "wisely" play privacy games. It is believed that PDPs advantage firms by deceiving consumers. However, it could also hinder firms' credibility. Thus, we aim to examine whether PDPs always benefit firms and hurt consumers. We also seek to answer whether market forces are sufficient to keep PDPs at relatively low levels. Our results show that PDPs make users weakly worse off and the seller weakly better off. Nevertheless, the seller has incentives to not utilize any PDPs when users' privacy cost is high, and the ratio of privacy concern and search cost is either too high or too low under which market shrinkage effect dominates market division effect. Finally, we show that a welfare maximizing social planner would allow the presence of PDPs when users' privacy cost is sufficiently low. Collapse

Topics: privacy information privacy concern price management data breach IS economics

Methods: cross sectional research game theoretical model literature study

Theories: game theory

Exploring Privacy Attitudes and Accurate Information Disclosure in Healthcare Contexts

2023 | International Conference on Information Systems | Citations: 0

Authors: Clark, Autumn; Keith, Mark; Masters, Tamara

Abstract: Patients lie to their doctors for a variety of reasons such as judgement, embar ... Expand

Abstract: Patients lie to their doctors for a variety of reasons such as judgement, embarrassment, and financial concerns. These reasons are different from consumer contexts where information disclosure risks include the loss of data to unknown third parties. Yet, the same theories are commonly used to frame both settings. This overextension of theory leads to important differences in the results of these studies. We propose that additional theorizing is needed to reconceptualize privacy calculus to more accurately explain healthcare patient disclosure. Using a hybrid methodology based on both a grounded theory approach and construal level theory, this study explores the perceived risks and benefits of health data and consumer data disclosure. The results reveal significant differences in psychological distance and construal levels between the two contexts which can improve future theorizing. This deeper understanding could help improve the accuracy of patient disclosure and reduce harm in clinical systems. Collapse

Topics: healthcare data mobile application data breach privacy mobile business

Methods: survey grounded theory qualitative coding theory development computational algorithm

Theories: privacy calculus theory construal level theory