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Prospective Physicians' Intention to Adopt Artificial Intelligence: A Configurational Perspective

2023 | HICSS | Citations: 0
Authors: Pare, G.; Raymond, L.; Castonguay, A.; Wagner, G.

Abstract: Artificial intelligence (AI) drives transformation across medical specialities, ... Expand

Abstract: Artificial intelligence (AI) drives transformation across medical specialities, requiring current and future generations of physicians to navigate everchanging digital environments. In this context, prospective physicians will play a key role in adopting and applying AI-based health technologies, underlining the importance of understanding their knowledge, attitudes, and intentions toward AI. To dissociate corresponding profiles, we adopted a configurational perspective and conducted a two-stage survey study of 184 ( 0 ) and 138 ( 1 ) medical students at a Canadian medical school. Our principal findings corroborate the existence of distinct clusters in respondents' AI profiles. We refer to these profiles as the AI unfamiliar, the AI educated, and the AI positive, showing that each profile is associated with different intentions towards future AI use. These exploratory insights on the variety of AI profiles in prospective physicians underline the need for targeted and adaptive measures of education and outreach. Collapse

Semantic filters: multicollinearity behavioral theory

Topics: artificial intelligence behavioral intention health information system pandemic explainable artificial intelligence

Methods: survey cluster analysis ANOVA parametric test regression analysis method

Theories: behavioral theory technology acceptance model
Your reviews or mine? Exploring the determinants of “perceived helpfulness” of online reviews: a cross-cultural study
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2022 | Electronic Markets | Citations: 0
Authors: Biswas, Baidyanath; Sengupta, Pooja; Ganguly, Boudhayan

Abstract: E-commerce platforms allow customers to post online reviews about their products ... Expand

Abstract: E-commerce platforms allow customers to post online reviews about their products, but many of these reviews remain non-voted by existing customers. Current literature on the perceived helpfulness of online reviews has overlooked the effect of these non-voted reviews. Additionally, current studies lack the cross-cultural perspective to help analyze the influence of cultural factors during an analysis of online reviews in an e-commerce platform. This study proposes a novel cross-cultural framework using online consumer reviews from a global e-commerce retailer to investigate these shortcomings. Our study has twofold contributions: firstly, we identified the significant predictors (such as review-title, review sentiments, star rating, social context, and temporal features) of the count of helpful votes received by online reviews – both voted and non-voted. Secondly, we identified a strong moderating effect of national culture on these predictors during the perception and evaluation of global consumers’ reviews. We also performed a quantile regression across the entire distribution of the count of helpful votes. Findings from our study will guide reviewers who publish helpful and comprehensive reviews. Additionally, customers and sellers from global e-commerce firms will learn to account for cross-cultural differences on the provided features to prevent the distortion of the information content of online reviews. Collapse

Semantic filters: multicollinearity behavioral theory

Topics: electronic commerce social presence cross cultural research national culture hard disk drive

Methods: Poisson regression natural language processing sentiment analysis data modeling theoretical contribution

Theories: self efficacy theory social presence theory theory of reasoned action behavioral theory
Predicting Medical Students’ Intention to Integrate Digital Health into their Medical Practice: A Pre- and Post-COVID-19 Survey in Canada
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2022 | HICSS | Citations: 0
Authors: Pare, Guy; Raymond, Louis; Pomey, Marie-Pascale; Gregoire, Genevieve

Abstract: In recent years, many stakeholders have advocated digital health (dHealth) as a ... Expand

Abstract: In recent years, many stakeholders have advocated digital health (dHealth) as a promising avenue to reduce inefficiencies, increase the accessibility and quality of care, and manage infectious diseases. In this context, an emerging issue for researchers and practitioners lies in the dHealth education and training that must be provided to medical students to prepare them to make effective use of dHealth technologies, and of artificial intelligence (AI) in particular, in their future medical practice. In addressing this issue, this paper aims to validate a theoretical model that hypothesizes relationships between medical students’ individual background, experimentation with dHealth, perceived dHealth education needs, and openness to AI-related innovations. To do so, a two-phased survey study of Canadian medical students was realized. Results confirming all but one of the research hypotheses thus constitute a valid basis for prediction and prescription with regard to the students’ integration of dHealth into their medical practice. Collapse

Semantic filters: multicollinearity behavioral theory

Topics: artificial intelligence pandemic behavioral intention absorptive capacity health information system

Methods: survey structural equation modeling causality analysis descriptive statistic partial least squares regression

Theories: technology acceptance model unified theory of acceptance and use of technology behavioral theory theory of planned behavior
Investigating perceived risks and benefits of information privacy disclosure in IT-enabled ride-sharing
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2021 | Information & Management | Citations: 0
Authors: Cheng, Xusen; Hou, Tingting; Mou, Jian

Abstract: This study investigates what affects perceived risks and how the trade-off betwe ... Expand

Abstract: This study investigates what affects perceived risks and how the trade-off between perceived risks and benefits affects individuals’ information privacy choices in the context of IT-enabled ride-sharing. Using privacy calculus theory and immediate gratification, we adopt a mixed-methods approach. We use interview data to identify perceived information disclosure risks’ antecedents, and then implement our research model, conducting privacy calculus on data from 507 rideshare users. The results indicate that privacy awareness, previous online privacy invasion, mobile payment security, and negative media exposure influence information disclosure’s perceived risks and that perceived risks and benefits are significantly related to immediate gratification. Collapse

Semantic filters: multicollinearity behavioral theory

Topics: privacy ride sharing platform data breach mobile payment mobile system

Methods: qualitative interview survey mixed method post-hoc analysis theoretical contribution

Theories: privacy calculus theory behavioral theory
Relational Embeddedness, Breadth of Added Value Opportunities, and Business Growth
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2021 | Organization Science | Citations: 0
Authors: Mawdsley, John K.; Somaya, Deepak

Abstract: The current paper complements and extends traditional Penrosean theories of firm ... Expand

Abstract: The current paper complements and extends traditional Penrosean theories of firm growth by examining how a (supplier) firm’s relational embeddedness with its portfolio of existing buyers affects its business growth. Our theorizing rests on the foundation that a firm’s business growth stems from its breadth (or volume) of opportunities for creating added value with buyers, which more fully realizes the Penrosean vision that firm growth can be explained by a dynamic interaction between productive resources and demand-side market opportunities. Although relational embeddedness may give a supplier dyadic advantages with focal buyers, which supports business growth, we theorize that it can also lead to narrower added value business opportunities with the supplier’s entire portfolio of buyers. Critically, we hypothesize that the effect of relational embeddedness on business growth is moderated by a set of relational and demand-side attributes. These hypotheses are tested on a panel data set of patent law firms (suppliers) and their relationships with corporate clients (buyers). We find that greater relational embeddedness is associated with slower supplier business growth, and consistent with our hypotheses, this negative effect is alleviated when these firms have greater cross-servicing ability and receive more relational commitment from buyers but exacerbated when suppliers hold more buyer-specific knowledge and when buyers undertake more (internal) concurrent sourcing. In turn, our research demonstrates how the attributes of a supplier’s relationships with its portfolio of buyers can impact access to new business opportunities and thus opens up new directions for research on firm growth, demand-side strategy and buyer-supplier relationships. Collapse

Semantic filters: multicollinearity behavioral theory

Topics: insourcing interorganizational relationship outsourcing business-to-consumer value creation

Methods: longitudinal research theory development robustness check descriptive statistic statistical hypothesis test

Theories: transaction cost economics behavioral theory cooperative game theory
High-Risk Deviant Decisions: Does Neutralization Still Play a Role?
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2021 | Journal of the Association for Information Systems | Citations: 0
Authors: Trinkle, Bradley; Warkentin, Merrill; Malimage, Kalana; Raddatz, Nirmalee

Abstract: Extant research has shown that neutralization processes can enable potential IS ... Expand

Abstract: Extant research has shown that neutralization processes can enable potential IS security policy violators to justify their behavior and overcome the deterrence effect of sanctions in order to engage in unethical behaviors. However, such sanctions are typically moderate and not career ending. We test the boundary conditions of this theory by evaluating whether neutralization plays a role in overcoming the impact of extreme levels of deterrence. We extend the Siponen and Vance (2010) framework within a professional context that assigns extreme sanctions to violators. Using the scenario-based factorial survey method common in IS security research, we collected data from future auditors who understand these extreme sanctions. We test the reasons that auditors may use to form intentions to falsify information concerning an information security issue with a company's accounting information system, thereby jeopardizing data integrity and security by modifying working papers to hide irregularities and, by doing so, violating their professional standards, which could result in career-ending sanctions. We empirically validated and tested the theoretical model. Our results show that sanctions play an important role in reducing employees' intentions to violate policy but that, even under extreme boundary conditions, employees might seek to rationalize their unethical behavior by denying responsibility for their actions through, for example, arguing that their supervisors pressured them into performing the violations. We also establish that messages heightening the awareness and perceptions of the certainty and severity of organizational punishment are likely to attenuate such deviant behaviors. We discuss the implications of these findings and suggest future avenues for research. Collapse

Semantic filters: multicollinearity behavioral theory

Topics: behavioral intention accounting IT career IT security threat accounting information system

Methods: survey hierarchical linear modeling statistical hypothesis test experiment experimental design

Theories: deterrence theory neutralization theory behavioral theory general deterrence theory protection motivation theory
Online video channel management: An integrative decision support system framework
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2021 | International Journal of Information Management | Citations: 0
Authors: France, Stephen L.; Shi, Yuying; Vaghefi, Mahyar Sharif; Zhao, Huimin

Abstract: In the current fragmented media landscape, online video is becoming an important ... Expand

Abstract: In the current fragmented media landscape, online video is becoming an important outlet for content dissemi nation. Online video channels provide content creators a way of organizing content and building an online following through subscriptions and social sharing. This paper describes a decision support systems (DSS) based framework for online video channel management and content creation. The relevant DSS literature was reviewed along with both modeling and behavioral aspects of online videos and video channels. An empirical case study was run on a dataset consisting of views, shares, and subscriptions from over 1000 videos from nine YouTube channels. This paper contributes to DSS theory by proposing a flexible framework for incorporating both behavioral and empirical work into an integrative process for online video content creation. This framework builds on existing data-driven DSS theory, but includes specific entities and processes for online content creation. Collapse

Semantic filters: multicollinearity behavioral theory

Topics: decision support system logistics management YouTube advertising management marketing management

Methods: experiment case study autoregressive integrated moving average literature study longitudinal research

Theories: behavioral theory
Real-World Sustainability Impact of Green Information Systems: Nudging People Towards Business Trip Ridesharing

2020 | European Conference On Information Systems | Citations: 0
Authors: Lembcke, Tim-Benjamin; Herrenkind, Bernd

Abstract: To mitigate climate change and significantly lower greenhouse emissions, indivi ... Expand

Abstract: To mitigate climate change and significantly lower greenhouse emissions, individuals need to behave in a more sustainable manner. With nearly one quarter of emissions stemming from transport, greener mobility services and transportation modes are in great need. The information system (IS) community has accepted responsibility to contribute to environmentally friendly technologies and actions. IS can play an important role in enabling and fostering user behavior changes, yet research is sparse on how IS usage and sustainable real-world behavior coincide. With commuting increasingly contributing to individual transport CO2 emissions, this study focuses on travels that employees carry out to commute. We model the real-world Business Trip Ridesharing (BTRS) behavior following the Theory of Planned Behavior-and likewise Green IS usage with the Technology Acceptance Model. The interlinkage of both realms was hypothesized using a Blended Environment (BE) framework. Drawing on a survey from a real-world case study with a large Western European company, our results indicate that (1) Green IS usage influences real-world BTRS behavior and (2) the antecedents of BTRS behavior influence the Green IS usage. We render support for the BE framework and imply scholars as well as practitioners should take both analog and digital realms into concurrent consideration. Collapse

Semantic filters: multicollinearity behavioral theory

Topics: green IS information system use usage intention behavioral intention mobile application

Methods: survey case study design artifact partial least squares regression theoretical contribution

Theories: technology acceptance model theory of planned behavior expectation confirmation theory behavioral economics information systems theory
The role of compatibility in predicting business intelligence and analytics use intentions
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2018 | International Journal of Information Management | Citations: 18
Authors: Jaklič, Jurij; Grublješič, Tanja; Popovič, Aleš

Abstract: Research shows that data-driven decision-making using Business Intelligence and ... Expand

Abstract: Research shows that data-driven decision-making using Business Intelligence and Analytics (BI&A) can create competitive advantages for organizations. However, this can only happen if users successfully accept BI&A and use it eﬀectively. Analytical decision processes are often characterized by non-routine and ill-structured tasks and decisions, making individuals’ work styles more pronounced. Aligning on one hand what a BI&A solution can oﬀer and, on the other, the changing needs and expectations of users, the way they like to work – their work style, can thus be diﬃcult. This illustrates the importance of compatibility evaluations in the BI&A context, including perceptions of the technology ﬁt with the user’s work needs and style, along with the ﬁt with the organizational decision processes and organizational values when deciding to use BI&A. These issues have not yet been thoroughly researched in the existing BI&A literature. In response, we conduct a quantitative surveybased study to examine the interrelated role of compatibility in predicting BI&A use intentions. The model is empirically tested with the partial least squares (PLS) approach through to structural equation modeling (SEM). Our results show that compatibility perceptions have a direct positive impact on use intentions, mediate the impact of performance perceptions on use intentions, while the socio-organizational considerations of result demonstrability and social inﬂuence have interaction eﬀects by positively strengthening the perceived relevance of compatibility in impacting use intentions. Collapse

Semantic filters: multicollinearity behavioral theory

Topics: analytical information system usage intention social influence technology adoption organizational value

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

Theories: unified theory of acceptance and use of technology technology acceptance theory behavioral theory
Short-term and Long-term Effects of Fear Appeals in Improving Compliance with Password Guidelines
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2018 | Communications of the Association for Information Systems | Citations: 0
Authors: Mwagwabi, Florence; McGill, Tanya; Dixon, Mike

Abstract: Passwords are the most widely used method of authentication on the Internet, but ... Expand

Abstract: Passwords are the most widely used method of authentication on the Internet, but users find compliance with password guidelines difficult, and we know little about the long-term effects of attempts to improve compliance. In this paper, we extend the work of fear appeals use in the IS security domain to investigate their longer-term effects. We conducted a longitudinal experimental study to examine fear appeals’ long- and short-term effects. Using a model based on protection motivation theory (Rogers, 1983), we found that fear of threat, perceived password effectiveness, and password self-efficacy predicted compliance. We also found that neither perceived vulnerability to a security attack nor perceived severity of an attack influenced compliance. Providing persuasive communication improved compliance with password guidelines and resulted in significantly stronger passwords, but the effects on compliance intentions were only short term. This study extends our understanding of the factors that influence compliance with password guidelines and how we can modify them to improve compliance. We raise interesting questions about the role of fear in different IS security contexts. We also highlight the need for more research on the long-term impact of persuasive communication. Collapse

Semantic filters: multicollinearity behavioral theory

Topics: password IT security self efficacy behavioral intention IT security defense

Methods: experimental group survey parametric test ANOVA longitudinal research

Theories: protection motivation theory health belief model theory of reasoned action behavioral theory

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Found 19 articles

Prospective Physicians' Intention to Adopt Artificial Intelligence: A Configurational Perspective

Your reviews or mine? Exploring the determinants of “perceived helpfulness” of online reviews: a cross-cultural study

Predicting Medical Students’ Intention to Integrate Digital Health into their Medical Practice: A Pre- and Post-COVID-19 Survey in Canada

Investigating perceived risks and benefits of information privacy disclosure in IT-enabled ride-sharing

Relational Embeddedness, Breadth of Added Value Opportunities, and Business Growth

High-Risk Deviant Decisions: Does Neutralization Still Play a Role?

Online video channel management: An integrative decision support system framework

Real-World Sustainability Impact of Green Information Systems: Nudging People Towards Business Trip Ridesharing

The role of compatibility in predicting business intelligence and analytics use intentions

Short-term and Long-term Effects of Fear Appeals in Improving Compliance with Password Guidelines