Can Fact-Checking Influence User Beliefs About Misinformation Claims: An Examination of Contingent Effects

2023 | Management Information Systems Quarterly | Citations: 0

Authors: Bhattacherjee, Anol

Abstract: Prior research has suggested that corrective fact-checking has inconsistent eff ... Expand

Abstract: Prior research has suggested that corrective fact-checking has inconsistent effects on beliefs about online misinformation claims. This study attempts to explain this inconsistency using three contingent factorsclaim-source credibility, fact-checker credibility, and attitude strength-which respectively relate to three key parties in the fact-checking process: the source of a misleading claim, the fact-checker, and the user evaluating the fact-check. I hypothesize the interplay between these factors, which is tested using two online experiments on COVID-19-related misinformation with over 900 participants. Multilevel analysis of pretest-posttest, repeated measures data supports the hypothesized moderating effects and offers additional insights about how these effects vary between earlier versus later phases of misinformation cycles. The paper concludes with a discussion of contributions to research and practice. Collapse

Topics: misinformation pandemic BuzzFeed covid 19 user attitude

Methods: experiment regression analysis method longitudinal research statistical power analysis theoretical contribution

A Review and Meta-analysis of Mobile Government Adoption

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Chen, Ting; Sun, Ting; Duan, Yaoqing; Ahmad, Farhan

Abstract: With the explosive growth of mobile phone users, individuals are getting used t ... Expand

Abstract: With the explosive growth of mobile phone users, individuals are getting used to using mobile phones to get various services. Mobile government, as one of important channels to provide official government services, has been paid increasingly attention recently. In order to discover the critical influence factors of individual attitude and behavioral intention, a meta-analysis method was used to construct a comprehensive framework for individual mobile government adoption and find out the moderating role of economic development level, based on 38 related empirical research publications. We would like to figure out the results from meta-analysis and moderator analysis. Both theoretical and practical implications are going to yield through these findings. Collapse

Topics: behavioral intention user acceptance social influence service quality technology adoption

Methods: meta analysis correlation analysis survival analysis descriptive statistic literature sample

Theories: theory of economic development technology acceptance model unified theory of acceptance and use of technology technology acceptance theory extended unified theory of acceptance and use of technology

Exploring Consumers Risk Mitigation Strategies in E-Commerce: A Qualitative Study of High-Risk Transactions

2023 | HICSS | Citations: 0

Authors: Kollmer, Tim; Durani, Khalid; Peterhänsel, Florian; Eckhardt, Andreas; Augustin, Nils

Abstract: The recent Covid-19 pandemic has led to a sharp increase in online shopping. Whi ... Expand

Abstract: The recent Covid-19 pandemic has led to a sharp increase in online shopping. While the promises of shopping on e-commerce platforms are vast, there are simultaneously novel and exacerbated risks compared to traditional brick-and-mortar retail purchases. Existing research outlines numerous risk dimensions associated with online shopping. In addition, scholars examine the underlying reasons for consumers' risk perceptions, such as the inability of physical quality checks. However, there is a lack of research investigating how consumers attempt to navigate and mitigate risk perceptions when confronted with a high-risk online transaction. To address this research gap, we conducted 18 semi-structured interviews with consumers who had recently performed an online transaction associated with high-risk perceptions. Our study contributes to the existing literature by identifying an affective and cognitive risk mitigation strategy and respective underlying mechanisms. Notably, we find that online social networks play a central role in shaping consumers' risk perceptions. Collapse

Topics: electronic commerce decision making social network Instagram YouTube

Methods: qualitative interview personal interview product review qualitative content analysis

How Do Users Feel When They Use Artificial Intelligence for Decision Making? A Framework for Assessing Users’ Perception

2023 | Information Systems Frontiers | Citations: 0

Authors: Kushwaha, Amit Kumar; Pharswan, Ruchika; Kumar, Prashant; Kar, Arpan Kumar

Abstract: Artificial intelligence (AI) transits from merely adopted technology to fueling ... Expand

Abstract: Artificial intelligence (AI) transits from merely adopted technology to fueling everyday decision-making systems from medication to navigation. With this combination of AI in decision-making systems (ADMS), the present study explores how text-based users' data from social media helps organize the users' perspectives of ADMS? To investigate our research questions, we used a framework consisting of three phases, exploratory, confirmatory, and validatory. We applied hierarchy clustering and topic modeling in the exploratory study, hypothesis building, and empirical analysis during the confirmatory study and support vector machine (SVM) in the validatory study. Our findings suggest that users are primarily concerned about the risk involved in using ADMS. Factors like accountability, self-efficacy, knowledge of ADMS individuals' attitudes towards ADMS impact the perception of ADMS among individuals. This study's theoretical and practical implications have great scope as ADMS is still in its elementary stage. Collapse

Topics: artificial intelligence Twitter social media decision making user attitude

Methods: survey support vector machine topic model regression analysis method statistical hypothesis test

Ambivalence is Better than Indifference: Behavioral and Neurophysiological Assessment of Ambivalence in Online Environments

2023 | Management Information Systems Quarterly | Citations: 0

Authors: Lakhiwal, Akshat; Bala, Hillol; Léger, Pierre-Majorique

Abstract: Information representations such as ratings and reviews play an important role ... Expand

Abstract: Information representations such as ratings and reviews play an important role in assisting users in making decisions in online environments. Prior information systems (IS) research has mostly focused on the role of extreme valence, i.e., the positivity/negativity of information, portrayed by such representations. Yet this bipolar approach discounts how the coexistence of positivity and negativity (i.e., ambivalence) or their absence (i.e., indifference) is formed and leads to distinct attentional processes and outcomes such as purchase decisions. We theorize how and why the valence of information projected through such representations may elicit mixed feelings and influence decision-making in online environments. We conducted four randomized controlled experiments, including an electroencephalography (EEG) study, to disentangle the influence of ambivalence and indifference on decision-making in an online shopping context. We found that ambivalence and indifference to online information distinctly influenced attention and purchase decisions relative to positivity and negativity. Our findings further suggest the inability of incumbent bipolar representations, such as the widely implemented star rating system, to capture the mixed feelings expressed in online content. We propose a bivariate intervention that overcomes the limitations of bipolar representations by not only discerning ambivalence from indifference but also amplifying purchase decisions for products with ambivalent information by at least 50%, compared to incumbent bipolar representations. Our findings advance ongoing research on the role of information valence in online environments and offer implications for practice. Collapse

Topics: decision making enterprise resource planning digital platform user experience user attitude

Methods: experiment theory development electroencephalography NeuroIS statistical power analysis

The puzzle of experience vs. memory: Peak-end theory and strategic gamification design in M-commerce

2023 | Information & Management | Citations: 0

Authors: Li, Manning; Jiang, Zhenhui (Jack); Ma, Guanghui

Abstract: As businesses increasingly use gamified mobile marketing campaign (GMMC) systems ... Expand

Abstract: As businesses increasingly use gamified mobile marketing campaign (GMMC) systems to engage mobile shop­ pers, gamification in m-commerce systems warrants more attention in both IS research and design practices. Inspired by peak-end theory, this study focused on the puzzling differences between user experience vs. memory and empirically examined the impact of different experience orders of cognitive load on user perceptions and behavioral intentions. Overall, the outcomes of this research suggest that appropriate applications of the peakend effect, moderated via users’ regulatory focus styles, can alleviate the negative mental utility imagery of users, reducing their perceived uncertainties and opt-out intentions from the GMMC. Important implications for research and practice are then discussed. Collapse

Topics: electronic data interchange marketing management user experience gamification systems design

Methods: experiment electroencephalography survey multivariate analysis of variance survey design

Theories: technology acceptance model flow theory self determination theory theory of planned behavior

Fake News Diffusion: A Process-Based Approach

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Lorenzo, Manuela Fortes; Machado, Luciano Marchi; SOARES, CARLA; JOIA, LUIZ

Abstract: The dissemination of fake news intensified during the COVID-19 pandemic. Thus, ... Expand

Abstract: The dissemination of fake news intensified during the COVID-19 pandemic. Thus, in this paper we propose a process-based model grounded on the diffusion of innovations theory to investigate how fake news was shared via social media. Accordingly, data was categorized according to the taxonomy of process, namely: input, output, players and activities. We found that individual decision-making traits, fake news perceived features and communication channel attributes are determinants of a personal attitude vis-à-vis a received fake news. The attitude then leads to the decision of whether or not to believe in the fake news, while confirmation conveys to the spread of same. In this way, social media, mediated by the power of algorithms and echo chambers, increase the chance of spreading misinformation. Collapse

Topics: fake news decision making innovation management diffusion of innovation social media

Methods: computational algorithm

Theories: diffusion of innovations theory

Limited engagement of SMEs with social media: A structuration and sensemaking perspective

2023 | Information & Management | Citations: 0

Authors: Meier, Andrea; Peters, Mike

Abstract: Despite the worldwide rapidly growing social media use, previous surveys have sh ... Expand

Abstract: Despite the worldwide rapidly growing social media use, previous surveys have shown an adoption rate below average among SMEs (small and medium-sized enterprises). The problem of why and how SMEs engage with social media has received scant attention. Informed by structuration and sensemaking theories, this qualitative inquiry attempts to close this gap by scrutinizing cognitive and collective pre-adoption aspects. Differently perceived technology features, the structural context of the ecosystem, and the triggering conditions as well as their role for individual and collective understanding and decision-making activities form the building blocks of a processual framework and the derivation of further research avenues. Collapse

Topics: social media sensemaking business process management business-to-business outsourcing

Methods: qualitative interview qualitative content analysis personal interview synthesis

Theories: theory of organizational sensemaking technology acceptance model theory of affordance organizational behavior theory

How Human-AI Collaboration Affects Attribution of Responsibility for Failure and Success

2023 | International Conference on Information Systems | Citations: 0

Authors: Passlack, Nina; Heyder, Teresa; Klemm, Falco; Posegga, Oliver

Abstract: Individuals increasingly seek algorithmic advice to optimize their decision mak ... Expand

Abstract: Individuals increasingly seek algorithmic advice to optimize their decision making. This study aims to investigate the effects of receiving algorithmic advice on individuals' attribution of responsibility for their achievements. The study is based on an experiment with a 2 x 5 design of two dimensions: achievement (success vs. failure) and advice (no advice; human-based advice with high and low expertise; and algorithmic advice with high and low accuracy). The findings from a pilot study suggest that the experimental design is largely appropriate, given that we found answers to our hypotheses. This short paper provides valuable insights for future research on the attribution of responsibility for success and failure when receiving algorithmic advice. Collapse

Topics: artificial intelligence personality decision making user attitude

Methods: experiment computational algorithm experimental design personal interview survey

Theories: attribution theory

Unfolding the popularity of video conferencing apps – A privacy calculus perspective

2023 | International Journal of Information Management | Citations: 0

Authors: Sandhu, Ramandeep Kaur; Vasconcelos-Gomes, João; Thomas, Manoj A.; Oliveira, Tiago

Abstract: Video conferencing (VC) applications (apps) have surged in popularity as an alte ... Expand

Abstract: Video conferencing (VC) applications (apps) have surged in popularity as an alternative to face-to-face com­ munications. Although VC apps offer myriad benefits, it has caught much media attention owing to concerns of privacy infringements. This study examines the key determinants of professionals’ attitude and intentions to use VC apps in the backdrop of this conflicting duality. A conceptual research model is proposed based on theoretical foundations of privacy calculus and extended with conceptualizations of mobile users’ information privacy concerns (MUIPC), trust, technicality, ubiquity, as well as theoretical underpinnings of social presence theory. Structural equation modeling is used to empirically test the model using data collected from 484 professionals. The study offers insights regarding the trade-offs that professionals are willing to make in the face of information privacy concerns associated with VC apps. Based on the findings, the study emphasizes the promotion of privacy protection at the organizational level, control mechanisms that motivate employees to actively engage in privacy protection behavior, and a multi-faceted approach for data transparency within the VC app platforms. Collapse

Topics: mobile application privacy information privacy concern social presence video conference

Methods: partial least squares regression survey conceptual modelling partial least squares path modeling descriptive statistic

Theories: privacy calculus theory social presence theory