The motivation paradox: Understanding contradictory effects of awards on contribution quantity versus quality in virtual community

2023 | Information & Management | Citations: 0

Authors: Banerjee, Shankhadeep; Bhattacharyya, Samadrita; Bose, Indranil

Abstract: We use the lens of the intrinsic/extrinsic motivation theory to holistically mod ... Expand

Abstract: We use the lens of the intrinsic/extrinsic motivation theory to holistically model the effects of intangible awards on member contribution in virtual communities. Using multiple studies on Yelp, we validate that the influence of award stimuli on contribution outcomes become significantly moderated by the aspect of contribution (quantity versus quality) and the novelty of stimuli (time and repetition of awards) to interestingly form divergent (downward versus upward) yet theoretically explicable curvilinear trajectories of contribution. This study contributes to IS literature on virtual communities and social-cognitive literature on work motivation and offers insights to community managers to design better incentive systems. Collapse

Topics: online community intrinsic motivation electronic health blockchain online review

Methods: theory development ANOVA parametric test regression analysis method experimental group

Theories: motivation theory self determination theory cognitive evaluation theory

Gender, Pay Transparency, and Competitiveness: Why Salary Information Sometimes, but Not Always, Mitigates Gender Gaps in Salary Negotiations

2023 | Group Decision and Negotiation | Citations: 0

Authors: Bear, Julia B.; Pinkley, Robin; Barsness, Zoe; Mazei, Jens; Bhatia, Nazli; Sleesman, Dustin J.

Abstract: Although pay transparency is a widely accepted remedy for the gender pay gap, re ... Expand

Abstract: Although pay transparency is a widely accepted remedy for the gender pay gap, research has devoted little attention to the specific types of salary information that are available to job seekers and whether the framing of this information moderates gender differences in negotiation outcomes. We first conducted an exploratory study to investigate whether men and women differ in how much they rely on and perceive the usefulness of various sources of salary information. A survey of experienced MBA students revealed that, relative to women, men tend to place greater value on sources that involve direct social comparisons (e.g., professional networks) as opposed to more aggregate, general sources (e.g., websites). We then conducted a controlled experiment using a hypothetical job offer negotiation to determine whether framing salary information in terms of social comparison moderates gender gaps in salary requests. Our results supported a moderated mediation model, revealing that men requested higher salaries than women when presented with upward social comparison information (i.e., what a more qualified employee earns), but not downward (i.e., what a less qualified employee earns) or lateral comparison information (i.e., what a similarly qualified employee earns). These effects were driven by heightened competitiveness among men. We also discovered that both men and women experienced the greatest boost in competitiveness and salary requests when presented with downward social comparison information. Overall, salary information is effective in reducing gender gaps, but the effects are nuanced, as they depend on the social comparison inherent to the information. Collapse

Topics: IT career website

Methods: archival research parametric test ANOVA theory development experiment

STAY WITH ME - CONVERSATIONAL CHURN PREVENTION IN DIGITAL SUBSCRIPTION SERVICE

2023 | European Conference On Information Systems | Citations: 0

Authors: Benner, Dennis; Schöbel, Sofia

Abstract: ... Expand

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Topics: digital service usage intention ease of use business-to-consumer business-to-business

Methods: qualitative interview design artifact experimental group survey experiment

Theories: technology acceptance model

Understanding Engagement in Online Health Communities: A Trust-Based Perspective

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

Authors: Connolly, Regina; Sanchez, Otavio Próspero; Compeau, Deborah; Tacco, Fabiana

Abstract: Online health communities (OHCs) represent a popular and valuable resource for t ... Expand

Abstract: Online health communities (OHCs) represent a popular and valuable resource for those seeking health information, support, or advice. They have the potential to reduce dependency on traditional health information channels, increase health literacy and empower a broader range of individuals in relation to their health management decisions. Successful communities are characterized by high levels of trust in user-generated contributions, which is reflected in increased engagement and expressed through knowledge adoption and knowledge contribution. However, research shows that the majority of OHCs are composed of passive participants who do not contribute via posts, thereby threatening the sustainability of many communities and their potential for empowerment. Despite this fact, the relationship between trust and engagement, specifically the trust antecedents that influence engagement in the OHC community context has not been adequately explained in past research. In this study, we leverage social capital behavior and social exchange theory frameworks in order to provide a more granular trust-based elucidation of the factors that influence individuals’ engagement in OHCs. We collected data from 410 Brazilian participants of Facebook OHCs and tested the research model using partial least squares. The results confirm two new constructs—online community responsiveness and community support—as trust antecedents that influence engagement in OHCs, resulting in knowledge adoption and knowledge contribution responses. These findings contribute to the trust and engagement literatures and to social media research knowledge. From a practitioner perspective, the study findings can serve as an important guide for moderators and managers seeking to develop trusted and impactful OHCs. Collapse

Topics: online community user experience electronic health social capital social media

Methods: partial least squares regression survey theory development structural equation modeling Bonferroni correction

Theories: social exchange theory social capital theory

Using machine learning to create and capture value in the business models of small and medium-sized enterprises

2023 | International Journal of Information Management | Citations: 0

Authors: Costa-Climent, Ricardo; Haftor, Darek M.; Staniewski, Marcin W.

Abstract: Start-ups have revolutionised many economic ecosystems, becoming innovation pion ... Expand

Abstract: Start-ups have revolutionised many economic ecosystems, becoming innovation pioneers around the world. Most are based on data-driven business models, particularly relying on machine learning technologies. However, not all start-ups that use machine learning technologies manage to create and capture value. The existing literature on the use value enabled by information technologies does not take into account the unique capabilities of machine learning. The theory of data network effects offers a promising explanation of how to create value using machine learning. However, it does not explicitly describe how to capture value using machine learning. In contrast, business model theory explains how companies use technologies to create and capture value, but not specifically through the use of machine learning technology. Therefore, this study aims to improve the theo­ retical understanding of the key drivers of value creation and capture in start-ups with business models driven by this kind of technology. Statistical techniques are used in a sample of 122 start-ups to explore the theoretical relationships between these two theories. The analysis reveals the link between specific value creation and capture factors of the two theories, such as efficiency, novelty, and performance expectancy. The study also provides evidence of the need to adopt a co-evolutionary perspective of value creation and capture through the use of machine learning. Collapse

Topics: value creation Twitter social media database system website

Methods: descriptive statistic theory development regression analysis method general multivariate regression model linear regression analysis

Collateral Damage: The Relationship Between High-Salience Events and Variation in Racial Discrimination

2023 | Organization Science | Citations: 0

Authors: Gorbatai, Andreea; Younkin, Peter; Burtch, Gordon

Abstract: To what extent are individual or organizational biases affected by racially sali ... Expand

Abstract: To what extent are individual or organizational biases affected by racially salient events? We propose that acts of discrimination and the individual biases that undergird them are sensitive to high-salience events and will oscillate with the salience of the focal attribute. In short, that the propensity to discriminate reflects both individual and environmental differences, and therefore a given person may become more prone to discriminate in the aftermath of a high-salience event. We test our hypothesis in three online experiments that examine how varying the salience of race affects the evaluation of in-group or out-group founders. We find that respondents evaluate their in-group members more favorably, and out-group members less favorably, when exposed to a high-salience event, which translates into a significant disadvantage for the minority (African American) group. We complement these studies with an assessment of how police shootings affect fundraising outcomes on Kickstarter to confirm the external validity of our findings. Together, these studies indicate that racially salient events depress the quality evaluations and success odds of African American entrepreneurs relative to others. Hence, discrimination levels can be affected by salient yet unrelated events, and such events are consequential for the economic fortunes of individuals belonging to minority and disadvantaged groups.History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory.Supplemental Material: The online appendices are available at https://doi.org/10.1287/orsc.2021.1527. Collapse

Topics: crowdfunding crowdsourcing website criminality application programming interface

Methods: experiment parametric test statistical hypothesis test survey facial recognition system

Exploring Digital Social Norms Nudges in E-Grocery: Typical Consumer Testimonials with a Warm Glow

2023 | International Conference on Business Informatics | Citations: 0

Authors: Gottschewski-Meyer, Phillip Oliver; Lüddemann, Nicole; Landwehr, Marvin Auf der; Viebahn, Christoph von

Abstract: Digitization offers several possibilities to alter consumer decisions to suppor ... Expand

Abstract: Digitization offers several possibilities to alter consumer decisions to support social concerns. The objective of this study is to examine the impact of personalized digital social norm nudges on consumer decisions enriched with the theory of warm glow on e-grocery buying decisions with the aim of supporting social projects. Specific pro-social behaviors targeted were supporting fair payment of the producers of grocery goods, social inclusion projects and initiatives against poverty by deciding for a specific choice option. A between-subjects experiment was performed with the help of a questionnaire using a mock-up mobile grocery store to measure product choices. Results showed that claims supporting pro-social initiatives have a significant impact on buying decisions. Perceived product recommendation influenced our model positively, while we had a negative price impact. The study suggests that warm glow theory and enriched social norm nudges are effective tools for behavior change towards social initiatives. Collapse

Topics: social norm crowdsourcing web page social presence artificial intelligence

Methods: experiment survey experimental group statistical hypothesis test Levene's test

HARKing and P-Hacking: A Call for More Transparent Reporting of Studies in the Information Systems Field

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

Authors: Hu, Han-fen; Moody, Gregory; Galletta, Dennis

Abstract: While researchers are expected to look for significant results to confirm their ... Expand

Abstract: While researchers are expected to look for significant results to confirm their hypotheses, some engage in intentional or unintentional HARKing (Hypothesizing After Results are Known) and p-hacking (repeated tinkering with data and retesting). If these practices are widespread, one possible result is field-wide exaggerated (inflated) results reported in Information Systems (IS) publications. In this paper, we summarize the literature on HARKing and p-hacking across different disciplines. We offer an illustrative example of how an IS study could involve HARKing and p-hacking in various stages of the project to generate a more "publishable" result. We also report on a survey targeted at IS researchers to explore their experiences and awareness of this issue. Finally, we provide recommendations and suggestions based on the review of practices in other fields and advocate for more transparency in reporting research projects, so that study results can be interpreted properly, and reproducibility and replicability can be increased. Collapse

Topics: website web page

Methods: p hacking descriptive statistic survey parametric test statistical hypothesis test

Theories: protection motivation theory

Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments

2023 | Information Systems Research | Citations: 0

Authors: Khern-am-nuai, Warut; Hashim, Matthew J.; Pinsonneault, Alain; Yang, Weining; Li, Ninghui

Abstract: Password-based authentication is the most commonly used method for gaining acces ... Expand

Abstract: Password-based authentication is the most commonly used method for gaining access to secured systems. Unfortunately, empirical evidence highlights the fact that most passwords are significantly weak, and encouraging users to create stronger passwords is a significant challenge. In this research, we propose a theoretically augmented password strength meter design that is guided by the elaboration likelihood model of persuasion (ELM). We evaluate our design by leveraging three independent and complementary methods: a survey-based experiment using students to evaluate the saliency of our conceptual design (proof of concept), a controlled laboratory experiment conducted on Amazon Mechanical Turk to test the effectiveness of the proposed design (proof of value), and a randomized field experiment conducted in collaboration with an online forum in Asia to establish proof of use. In each study, we observe the changes in users’ behavior in response to our proposed password strength meter. We find that the ELM-augmented password strength meter is significantly effective at addressing the challenges of password-based authentication. Users exposed to this strength meter are more likely to change their passwords, leading to a new password that is significantly stronger. Our findings suggest that the proposed design of augmented password strength meters is an effective method for promoting secure password behavior among end users.History: Alessandro Acquisti, Senior Editor; Pallab Sanyal, Associate Editor.Funding: The authors gratefully acknowledge financial support from the Social Science and Humanities Research Council of Canada (SSHRC) [Grant 435-2018-0605].Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1125. Collapse

Topics: password website data security electronic authentication application programming interface

Methods: experiment survey laboratory experiment experimental group field experiment

Theories: elaboration likelihood model

Dark Desires? Using the Theory of Basic Desires to Better Understand Toxic Behavior in Multiplayer Online Games

2023 | HICSS | Citations: 0

Authors: Kordyaka, Bastian; Stelter, Aida; Laato, Samuli; Niehaves, Bjoern

Abstract: Within the context of multiplayer online battle arena video games (MOBAs) toxic ... Expand

Abstract: Within the context of multiplayer online battle arena video games (MOBAs) toxic behavior (TB) remains a complex and yet unsolved socio-technological challenge. While significant work has been done recently, there is a lack of theory-guided approaches for curbing TB. In this work, we test the motivational theory of basic desires for explaining the occurrence of TB. For this, we used a survey approach and collected a sample consisting of players of the successful MOBAs League of Legends and Dota 2 (n = 308). Using a PCA, results indicate two underlying factors of the 16 basic desires (i.e., physiological and social factors). Consequently, both factors hold the potential to explain TB. In addition, the predisposition age showed a significant influence on TB in our sample. These findings highlight the 16 basic desires as a promising frame for understanding the antecedents of TB. Collapse

Topics: personality online game video game crowdsourcing

Methods: principal component analysis data transformation regression analysis method survey self reported survey

Theories: motivation theory