Social Norms and Misinformation Sharing of Politicized Products

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Bui, Quang Neo; Moriuchi, Emi

Abstract: Misinformation has been on the rise, and in many cases, misinformation is inten ... Expand

Abstract: Misinformation has been on the rise, and in many cases, misinformation is intentionally shared for political reasons. This phenomenon first started with political news but now has spread in consumer products. To understand how misinformation sharing occurs differently between politized versus nonpoliticized products, we conducted an experiment and survey 800 respondents in an online crowdsourcing platform. The results show that for a politicized product, individual bias disposition and social norms indeed sway an individual's evaluation of information credibility, her trust and intention to share. However, this effect is not observed for non-politicized products. This call for more research to understand the role of social norms in stopping the spread of misinformation. Collapse

Topics: social norm social media misinformation crowdsourcing information exchange

Methods: parametric test structural equation modeling two-way ANOVA survey moderation analysis

The (Bounded) Role of Stated-Lived Value Congruence and Authenticity in Employee Evaluations of Organizations

2023 | Organization Science | Citations: 0

Authors: Deeds Pamphile, Vontrese; Ruttan, Rachel Lise

Abstract: A growing body of research documents that audiences reward organizations perceiv ... Expand

Abstract: A growing body of research documents that audiences reward organizations perceived to be authentic with positive evaluations. In the current work, we adopt a mixed-methods approach—using data collected from Glassdoor.com and two experiments—to establish that perceptions of authenticity are elicited by perceived congruence between an organization’s stated values (i.e., the values it claims to hold) and its lived values (i.e., values members perceive as embodied by the organization), which in turn lead to more positive organizational evaluations. We then explore the conditions under which audiences are less likely to respond favorably to organizational authenticity, finding that the positive effects of stated-lived value congruence on evaluations are attenuated when audiences have a lower preference for stated values. Although scholars have often explored whether and how organizations can successfully make themselves appear authentic to reap rewards, our findings suggest that the perceived authenticity that results from stated-lived value congruence may not prove fruitful unless the audience holds a higher preference for an organization’s stated values.History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory.Funding: This research was supported by the Interdisciplinary Research Award from the Management and Organizations Department at the Kellogg School of Management and by the Michael-Lee Chin Institute for Corporate Citizenship Research Grant from the Rotman School of Management.Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.1578. Collapse

Topics: innovation management organizational value online review website organizational success

Methods: experiment parametric test product review statistical power analysis two-way ANOVA

Theories: cognitive dissonance theory organizational behavior theory organizational theory psychological theory

Rising Above vs. Falling Below: When and Why Status Change Affects Interpersonal Helping in Workgroups

2023 | Organization Science | Citations: 0

Authors: Doyle, Sarah P.; Lount, Robert B.

Abstract: The current research sheds new light on how and why status hierarchies impact in ... Expand

Abstract: The current research sheds new light on how and why status hierarchies impact interpersonal helping by examining people’s reactions to recently experienced status change. Specifically, we incorporate findings from research on the self-serving attributional bias to theorize about how the direction of status change (i.e., a gain or a loss) can shape the extent to which people accept or deflect personal responsibility for their change in status, which we argue will then impact other-concern and, thus, their willingness to help. Further, we identify status change legitimacy as a key contingency that will strengthen or weaken the psychological and behavioral effects of status change. Among firefighter teams (Study 1), participants in the laboratory (Studies 2 and 3), and student teams (Study 4), we show that (1) status change impacts interpersonal helping through its impact on changes in other-concern and (2) status change legitimacy moderates the effect of status change on both other-concern and interpersonal helping. Additionally, we document an asymmetry with regards to the effects of status change on both other-concern and helping behavior (i.e., with the negative impact of a status loss being stronger than the positive impact of a status gain). Theoretical and practical implications are discussed. Collapse

Topics: team productivity missing data accounting

Methods: survey polynomial regression parametric test survey design two-way ANOVA

Chatbot Catalysts: Improving Team Decision-Making Through Cognitive Diversity and Information Elaboration

2023 | International Conference on Information Systems | Citations: 0

Authors: Gurkan, Necdet; Yan, Bei

Abstract: As the integration of artificial intelligence (AI) into team decision-making co ... Expand

Abstract: As the integration of artificial intelligence (AI) into team decision-making continues to expand, it is both theoretically and practically pressing for researchers to understand the impact of the technology on team dynamics and performance. To investigate this relationship, we conducted an online experiment in which teams made decisions supported by chatbots and employed computational methods to analyze team interaction processes. Our results indicated that compared to those assisted by chatbots in later phases, teams receiving chatbot assistance during the initial phase of their decisionmaking process exhibited increased cognitive diversity (i.e., diversity in shared information) and information elaboration (i.e., exchange and integration of information). Ultimately, teams assisted by chatbots early on performed better. These results imply that introducing AI at the beginning of the process can enhance team decision-making by promoting effective information sharing among team members. Collapse

Topics: artificial intelligence decision making information exchange team productivity human AI collaboration

Methods: chatbot parametric test experiment ANOVA self reported survey

Early Chatbot Assistance Can Enhance Team Decision-Making by Promoting Cognitive Diversity and Information Elaboration

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Gurkan, Necdet; Yan, Bei

Abstract: As AI increasingly assists teams in decision-making, the study examines how tec ... Expand

Abstract: As AI increasingly assists teams in decision-making, the study examines how technology shapes team processes and performance. We conducted an online experiment of team decision-making assisted by chatbots and analyzed team interaction processes with computational methods. We found that teams assisted by a chatbot offering information in the first half of their decision-making process performed better than those assisted by the chatbot in the second half. The effect was explained by the variation in teams' information-sharing process between the two chatbot conditions. When assisted by the chatbot in the first half of the decision-making task, teams showed higher levels of cognitive diversity (i.e., the difference in the information they shared) and information elaboration (i.e., exchange and integration of information). The findings demonstrate that if introduced early, AI can support team decision-making by acting as a catalyst to promote team information sharing. Collapse

Topics: decision making artificial intelligence team productivity information exchange video conference

Methods: chatbot parametric test ANOVA experiment two-way ANOVA

Privacy Policy and Hosts’ Concerns on Accommodation Sharing Platforms

2023 | HICSS | Citations: 0

Authors: Hu, Jiang; Zhang, Jie; Liang, Huigang

Abstract: Accommodation-sharing services are gaining great popularity via online community ... Expand

Abstract: Accommodation-sharing services are gaining great popularity via online community platforms in recent years. Meanwhile, users’ privacy concerns over social interactions and online transactions on these platforms are escalating. This study investigates whether and how privacy policy can properly mitigate hosts’ privacy concerns, enhance perceived benefits, and subsequently encourage their information disclosure on the accommodation sharing platforms (ASPs). Through a scenario-based survey and a controlled experiment, we find that the hosts are more concerned about the other users’ misappropriating the private information that the hosts disclose on the platform than the platforms’ privacy invasion behaviors. However, this major concern is not significantly mitigated by the current privacy policy. Moreover, privacy policy engenders two types of perceived benefits, among which the perceived social benefit has a stronger effect than economic benefit on the hosts’ intentions to disclose information on ASPs. Collapse

Topics: information privacy concern privacy data breach decision making electronic commerce

Methods: experiment survey parametric test factorial experiment two-way ANOVA

Theories: privacy calculus theory

Powerlessness Also Corrupts: Lower Power Increases Self-Promotional Lying

2023 | Organization Science | Citations: 0

Authors: Li, Huisi (Jessica); Chen, Ya-Ru; Hildreth, John Angus D.

Abstract: The popular maxim holds that power corrupts, and research to date supports the v ... Expand

Abstract: The popular maxim holds that power corrupts, and research to date supports the view that power increases self-interested unethical behavior. However, we predict the opposite effect when unethical behavior, specifically lying, helps an individual self-promote: lower rather than higher power increases self-promotional lying. Drawing from compensatory consumption theory, we propose that this effect occurs because lower power people feel less esteemed in their organizations than do higher power people. To compensate for this need to view themselves as esteemed members of their organizations, lower power individuals are more likely to inflate their accomplishments. Evidence from four studies supports our predictions: compared with those with higher power, executives with lower power in their organizations were more likely to lie about their work achievements (Study 1, n = 230); graduate students with lower power in their Ph.D. studies were more likely to lie about their publication records (Study 2, n = 164); and employees with lower power were more likely to lie about having signed a business contract (Studies 3 and 4). Mediation analyses suggest that lower power increased lying because lower power individuals feel lower esteem in their organizations (Study 3, n = 562). Further supporting this mechanism, a self-affirmation intervention reduced the effect of lower power on self-promotional lying (Study 4, n = 536). These converging findings show that, when lies are self-promotional, lower power can be more corruptive than higher power. Collapse

Topics: anonymity consumer behavior missing data electronic mail website

Methods: survey mediation analysis parametric test chi squared test survey design

Theories: self construal theory

A Matter of Transition: Authenticity Judgments and Attracting Employees to Hybridized Organizations

2023 | Organization Science | Citations: 0

Authors: Radoynovska, Nevena; Ruttan, Rachel

Abstract: Category-spanning organizations have been shown to face a number of penalties co ... Expand

Abstract: Category-spanning organizations have been shown to face a number of penalties compared with organizations occupying a single category. The assumption seems to be, however, that organizations spanning the same categories will be evaluated similarly. Yet, this is not always the case. We know far less about why evaluations may differ within category-spanners, largely due to existing studies’ focus on comparing single-category to category-spanning organizations in equilibrium states at a fixed point in time. Instead, this paper investigates audience judgments of organizations as they transition from single to multiple categories. We rely on the empirical setting of social-commercial hybrids—an intriguing context in which to explore category-spanning across market and nonmarket domains associated with distinct values, norms, and expectations. In a series of two experimental studies, we investigate how hybridization affects audience judgments of organizational authenticity and the ability to attract potential employees. We find that across organizational fields associated with nonprofit (communal) and for-profit (market exchange) norms, hybridization—more than hybridity itself—triggers audience cynicism and leads to decreased judgments of authenticity. However, the penalties for hybridizing are only observed when organizations also move away from field-level profit-status norms. The findings contribute to the category-spanning and authenticity literatures by integrating social psychological and organizational theory perspectives to offer a dynamic view of spanning beyond for-profit, market contexts. They also offer empirical support for the theorized multidirectionality of mission drift in hybrid organizations, while suggesting that drifting need not always be detrimental.History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory.Supplemental Material: Supplemental online materials are available at https://doi.org/10.1287/orsc.2021.1495. Collapse

Topics: organizational change database system online labor market

Methods: parametric test experiment statistical power analysis ANOVA statistical hypothesis test

Theories: organizational behavior theory organizational theory

Designing Conversational Dashboards for Effective Use in Crisis Response

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

Authors: Ruoff, Marcel; Gnewuch, Ulrich; Maedche, Alexander; Scheibehenne, Benjamin

Abstract: Governments and health organizations are increasingly using dashboards to provi ... Expand

Abstract: Governments and health organizations are increasingly using dashboards to provide real-time information during natural disasters and pandemics. Although these dashboards aim to make crisisrelated information accessible to the general public, the average user can have a hard time interacting with them and finding the information needed to make everyday decisions. To address this challenge, we draw on the theory of effective use to propose a theory-driven design for conversational dashboards intended for crisis response that can improve users' transparent interaction with these dashboards and facilitate access to crisis-related information during crises. We instantiate our proposed design in a conversational dashboard for the COVID-19 pandemic that enables natural language interaction in spoken or written form and helps users familiarize themselves with the use of natural language through conversational onboarding. The evaluation of our artifact shows that being able to use natural language improves users' interaction with the dashboard and ultimately increases their efficiency and effectiveness in finding information. This positive effect is amplified when users complete the onboarding before interacting with the dashboard, particularly when they can use both natural language and mouse interaction. Our findings contribute to research on dashboard design, both in general and in the specific context of crisis response, by providing prescriptive knowledge for extending crisis response dashboards with natural language interaction capabilities. In addition, our work contributes to the democratization of data science by proposing design guidelines for making information on crisis response dashboards more accessible to the general public.Marcel Ruoff is a PhD student at Karlsruhe Institute of Technology, Germany. His research focuses on the intersection between information systems and human-computer interaction by designing and developing the next generation of user interfaces for end users with limited knowledge of the systems they use. In particular, he investigates how to utilize natural language to support end users in effectively using dashboards for their data exploration and analysis and how to enable these end users to effectively teach the conversational user interfaces how to perform new natural language inputs. Collapse

Topics: digital dashboard usability human computer interaction pandemic data visualization

Methods: experiment natural language processing design theory design artifact kernel theory

Theories: theory of affordance theory of effective use information systems theory

Authenticity-Based Connections as Organizational Constraints and the Paradox of Authenticity in the Market for Cuban Cigars

2023 | Organization Science | Citations: 0

Authors: Verhaal, J. Cameron; Hahl, Oliver; Fandl, Kevin J.

Abstract: We explore the organizational consequences that different authenticity claims ca ... Expand

Abstract: We explore the organizational consequences that different authenticity claims carry for products and the firms that produce them. To do so, we build on the notion of an authenticity paradox—the idea that seeking to capture demand that is created by perceived authenticity can undermine the very authenticity that generated the demand in the first place. Using an experimental approach, we argue and show that provenance-based claims of authenticity (e.g., location of origin) constrain a firm spaciotemporally, limiting their ability to expand production in ways that might be economically rational but would undermine this authenticity claim. We further show there is no penalty (or there is a reduced penalty) when the claim is not explicitly spaciotemporal, and is instead based on an association to an iconic individual broadly connected to that place. We show how these types of connections help firms respond to the authenticity paradox by allowing them more freedom to expand production to meet the increased demand without undermining the original claims to authenticity. As a result, this paper’s key contribution is in moving beyond explaining how perceived authenticity benefits organizations and instead, explores how different claims to authenticity can constrain a firm’s ability to capture the value that it has created from authenticity.History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory.Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.1574. Collapse

Topics: cloud computing

Methods: experiment statistical power analysis theory development parametric test statistical hypothesis test

Theories: organizational theory