Remote Workers’ Privacy Concerns, Psychological Climate for Face Time, and Organizational Affective Commitment

2023 | HICSS | Citations: 0

Authors: Afota, Marie-Colombe; Cañibano, Almudena; Ollier-Malaterre, Ariane; Provost Savard, Yanick; Léon, Emmanuelle

Abstract: During the Covid-19 pandemic, the shift to high-intensity remote work—three days ... Expand

Abstract: During the Covid-19 pandemic, the shift to high-intensity remote work—three days or more a week—accelerated the digitalization of work processes on platforms such as Slack or Teams and the blurring of boundaries between work and personal life through videoconferencing and the use of personal devices for work. This paper explores the relationships between high-intensity remote workers’ information and communication technologies (ICT) privacy concerns, psychological climate for face time, and organizational affective commitment. Building on organizational support and social information processing theories, we argue that ICT privacy concerns and perceptions that an organization values physical presence in-office may undermine commitment to the organization. Based on a two-wave study of 1065 remote workers in a large multinational bank, we find that ICT privacy concerns and psychological climate for face time reinforce one another and are negatively associated with subsequent affective organizational commitment. Collapse

Topics: information privacy concern organizational commitment remote work IT supported collaboration privacy

Methods: statistical hypothesis test chi squared test longitudinal research SEM tool structural equation modeling

Theories: social information processing theory

Telepresence in live-stream shopping: An experimental study comparing Instagram and the metaverse

2023 | Electronic Markets | Citations: 0

Authors: Barta, Sergio; Gurrea, Raquel; Flavián, Carlos

Abstract: Advances in digital platforms allow influencers to use live shows to showcase pr ... Expand

Abstract: Advances in digital platforms allow influencers to use live shows to showcase products, which has given rise to live-stream shopping. Moreover, new communication forms have emerged, such as the metaverse. The social interactions that occur in these immersive environments foster influencer-follower interactions. This research compares the impact of live-stream shopping on followers’ experiences and behaviors on two communication channels (live shows on Instagram and in the metaverse) and analyses the moderating role of content involvement in telepresence. Data were collected in a between-subjects quasi-field experiment. Two scenarios that differed in degree of telepresence were created, a live show on Instagram and a live show in the metaverse. The results showed that telepresence is an important part of the user experience and in the success of live shows. Telepresence was seen to have a major influence on experiential value, but not on instrumental value. Both values provided followers with satisfaction with the experience. This satisfaction generated stickiness intention and intention to recommend the influencers’ live shows. The effect of telepresence on experiential value was greater for followers less involved with the influencer’s content. This research is pioneering in comparing an established platform, Instagram, with the metaverse. Despite the greater experiential value provided by the metaverse, to increase its instrumental value metaverse spaces needs to be further developed. Collapse

Topics: video conference virtual reality Instagram social network social media

Methods: survey field experiment statistical power analysis statistical hypothesis test experimental group

Theories: technology acceptance model

Team Performance: Nature and Antecedents of Nonnormal Distributions

2023 | Organization Science | Citations: 0

Authors: Bradley, Kyle J.; Aguinis, Herman

Abstract: Team research typically assumes that team performance is normally distributed: t ... Expand

Abstract: Team research typically assumes that team performance is normally distributed: teams cluster around average performance, performance variability is not substantial, and few teams inhabit the upper range of the distribution. Ironically, although most team research and methodological practices rely on the normality assumption, many theories actually imply nonnormality (e.g., performance spirals, team composition, team learning, punctuated equilibrium). Accordingly, we investigated the nature and antecedents of team performance distributions by relying on 274 performance distributions including 200,825 teams (e.g., sports, politics, firefighters, information technology, customer service) and more than 500,000 workers. First, regarding their overall nature, only 11% of the distributions were normal, star teams are much more prevalent than predicted by normality, the power law with an exponential cutoff is the most dominant distribution among nonnormal distributions (i.e., 73%), and incremental differentiation (i.e., differential performance trajectories across teams) is the best explanation for the emergence of these distributions. Second, this conclusion remained unchanged after examining theory-based boundary conditions (i.e., tournament versus nontournament contexts, performance as aggregation of individual-level performance versus performance as a team-level construct, performance assessed with versus without a hard left-tail zero, and more versus less sample homogeneity). Third, we used the team learning curve literature as a conceptual framework to test hypotheses and found that authority differentiation and lower temporal stability are associated with distributions with larger performance variability (i.e., a greater proportion of star teams). We discuss implications for existing theory, future research directions, and methodological practices (e.g., need to check for nonnormality, Bayesian analysis, outlier management). Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.1619. Collapse

Topics: team productivity customer service anonymity systems development virtual teamwork

Methods: meta analysis statistical hypothesis test Bayesian analysis descriptive statistic chi squared test

When Does the Pre-entry Experience of New Entrants Improve Their Performance? A Meta-Analytical Investigation of Critical Moderators

2023 | Organization Science | Citations: 0

Authors: Cao, Zhi; Posen, Hart E.

Abstract: Although pre-entry experience is widely regarded as a critical asset that positi ... Expand

Abstract: Although pre-entry experience is widely regarded as a critical asset that positively influences new entrant performance, empirical support is mixed. To address this inconsistency, we conduct a meta-analysis of the empirical findings in 272 papers. We draw theoretically on the organizational learning literature to argue that the pre-entry experience–new entrant performance relationship is contingent on the characteristics of pre-entry experience, the environmental context of the new entrant, and the interaction between the two. In particular, we examine the effects of two levels of pre-entry experience (firm and founder), four types of founder-level pre-entry experience (entrepreneurial, managerial, industry, and functional experience), and two types of environments (industry and institutional). The meta-analysis results show a significant and positive correlation between founder-level pre-entry experience and economic performance of 0.07. Likewise, the failure rates of spinouts and diversifying entrants are 11% lower than that of start-ups. The moderating analysis results show that the correlation of founder-level pre-entry experience and economic performance is lower in knowledge- or technology-intensive (KTI) industries and higher in low-KTI manufacturing and service industries. The correlation is also higher in institutional environments with high power distance and individualism. These findings provide compelling new evidence for the importance of pre-entry experience and advance our understanding of the boundary conditions on the pre-entry experience–new entrant performance relationship. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.1589. Collapse

Topics: national culture organization learning entrepreneurship productivity research and development

Methods: descriptive statistic hazard function meta analysis literature sample chi squared test

The Agency to Implement Voice: How Target Hierarchical Position and Competence Changes the Relationship Between Voice and Individual Performance

2023 | Organization Science | Citations: 0

Authors: Burris, Ethan R.; McClean, Elizabeth J.; Detert, Jim R.; Quigley, Tim J.

Abstract: Although voice is communication that is intended to benefit the performance of c ... Expand

Abstract: Although voice is communication that is intended to benefit the performance of collectives, little is known about the benefits or costs to individual task performance and what mechanisms drive these effects. Our research offers new theory to articulate and illustrate the conditions under which voice has positive versus negative effects on individual task performance by directly acknowledging that employees have many options for where to direct their ideas. We introduce an agency perspective on voice by theorizing that one fundamental reason why employees speak up is to generate the implementation of corrective action for issues affecting themselves and to the extent targets of voice have agency to facilitate action through implementation of voice, voicing employees should be more likely to realize performance benefits from speaking up. In a first field study, we present evidence that two characteristics—the hierarchical position of the voice target (boss versus peer) and the competence of the voice target—alter the relationship between voice and the voicing employee’s task performance. In a second field study, using an event-contingent design, we provide evidence of the unique mechanisms underlying how competent managers (via their resources) and competent peers (via their efficacy to act) affect how upward and sideways voices lead to idea implementation. We discuss the theoretical implications of these ideas and findings by highlighting how voice target characteristics influence not just the incidence of voice but also, its outcomes. Funding: This research benefited from financial support through the McCombs Research Excellence Grant. Collapse

Topics: task productivity team productivity individual productivity personality human resource management

Methods: survey statistical hypothesis test qualitative interview chi squared test factor analysis

Theories: social cognitive theory

A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption

2023 | Information Systems Frontiers | Citations: 0

Authors: Dwivedi, Yogesh K.; Ismagilova, Elvira; Sarker, Prianka; Jeyaraj, Anand; Jadil, Yassine; Hughes, Laurie

Abstract: Social commerce (s-commerce) has gained prominence with advances in social media ... Expand

Abstract: Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust, social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the structural model. Our findings show that trust and informational support have positive effects on behavioral intention while trust and emotional support have positive effects on use behavior. Furthermore, our findings highlight that behavioral intention influences use behavior and mediates the effect of trust and informational support on use behavior. The implications for research and practice are discussed in detail. Collapse

Topics: behavioral intention social presence usage intention consumer behavior Facebook

Methods: meta analysis descriptive statistic structural equation modeling chi squared test survey design

DANGEROUS HABIT OR USEFUL ROUTINE? DEVELOPING THEORY-BASED MEASURES FOR THE INTENDED AND UNINTENDED CONSEQUENCES OF STATE-TRACKING HABITS

2023 | European Conference On Information Systems | Citations: 0

Authors: Eichner, Arvid; Lingnau, Nicholas; Felka, Patrick; Kohn, Vanessa; Holten, Roland; Hinz, Oliver

Abstract: According to the theory of IT-mediated state-tracking, the intended and uninten ... Expand

Abstract: According to the theory of IT-mediated state-tracking, the intended and unintended consequences of constantly checking digital devices can be judged by the resulting problem of attention and by whether the checking led to information that served the individual's enduring goal. While this perspective offers numerous benefits over the common practice of labeling excessive information technology use as addiction, as of yet, the constructs of problem of attention (PoA) and service to enduring goal (SEG) lack empirical measures. Thus, this paper develops measurement scales for the constructs PoA and SEG following an established construct development methodology. We evaluate the measures' validity and reliability and demonstrate that PoA and SEG differ from existing similar concepts. With the help of our newly developed constructs the quality of constant checking habits can be assessed which enables future studies to scrutinize the theorized preventive role of self-control in the context of smartphone habits. Collapse

Topics: mobile application unintended consequence smartphone crowdsourcing information system use

Methods: data transformation survey survey design factor analysis exploratory factor analysis

Does additional audio really work? A study on users' cognitive behavior with audio-visual dual-channel in panoramic digital museum

2023 | Information & Management | Citations: 0

Authors: He, Xiaoyang; Wu, Dan

Abstract: Multi-channel human-computer interaction offers a new perspective for optimizati ... Expand

Abstract: Multi-channel human-computer interaction offers a new perspective for optimization research in the digital museum, though there is no empirical evidence on how these factors affect cognition. This paper conducted a controlled experiment using the audio guide as a breakthrough point, aiming to determine the cognitive changes before and after the audio-visual dual-channel interaction. The results demonstrate that adding the auditory channel brought more cognitive load but not better cognitive outcomes. This paper evaluated the reasons behind it and noted that designing channels based solely on technical feasibility is undesirable, with suggestions pro­ posed for museum practitioners and platform developers. Collapse

Topics: mobile system usability human computer interaction virtual reality computer hardware

Methods: oculometry experiment parametric test descriptive statistic survey

An Enhanced Screenshot Interaction with Animated Stickers to Promote Learning Transfer

2023 | HICSS | Citations: 0

Authors: Huang, T.; Wang, Y.; Lin, K.; Liao, Y.

Abstract: This study has implemented a platform, namely piniton.tw, rolling out a redesig ... Expand

Abstract: This study has implemented a platform, namely piniton.tw, rolling out a redesign of user interaction with screenshot. It is an excellent environment for students' collaborative learning, as students upload screenshots and interact with each other to complete assignments by using animated stickers. As the study intended to investigate how to promote learning transfer by means of such enhanced screenshot interaction with animated stickers, task difficulty, online participation, and learning transfer were chosen as the basis for the research model. By applying the technology acceptance model, perceived ease of use, perceived usefulness, and behavioral intention were included. The results indicated that students' perceived ease of use and perceived usefulness are likely to significantly affect their behavioral intention, which in turn promote learning transfer. An implication is that students' learning transfer could be prompted greatly by enhancing their intention to use such platform that provides enhanced screenshot interaction with animated stickers. Collapse

Topics: perceived usefulness behavioral intention perceived ease of use usage intention task productivity

Methods: survey chi squared test SEM tool structural equation modeling descriptive statistic

Theories: technology acceptance model

Design for Social Sharing: The Case of Mobile Apps

2023 | Information Systems Research | Citations: 1

Authors: Karanam, Subrahmanyam Aditya; Agarwal, Ashish; Barua, Anitesh

Abstract: With a large number of mobile apps on platforms such as iOS and Android, app dev ... Expand

Abstract: With a large number of mobile apps on platforms such as iOS and Android, app developers face a significant challenge in generating market demand. Apps can incorporate social features to share information and create awareness. We focus on the impact of these features and their interplay with intrinsic features in the head, body, and tail of the demand distribution. Using a panel of version release notes from the iOS platform, we develop a novel hierarchical deep learning model to extract intrinsic and social features. Our results suggest that social features help increase the demand for tail apps and are also useful for head apps in informing users about new intrinsic features. To explore possible mechanisms, we analyze how different types of social features (personal and platform), intrinsic features (common versus differentiating), and app quality influence demand. We find that social features that allow sharing on platforms with large audiences are more effective at increasing demand than those on personal messaging systems. Furthermore, within platforms, social features perform better on those with stronger ties, such as Facebook as opposed to Twitter. Our analysis of different types of intrinsic features reveals that social features can help increase the demand for all apps when introduced with differentiating or less common intrinsic features. Furthermore, we find that there is a negative effect on the demand of tail apps when differentiating intrinsic features are combined with platform-based social features that have weaker ties. However, this negative effect is limited to low-quality tail apps only. Our results underscore the differences in the effect of different types of social and intrinsic features in various parts of the demand distribution. Our study provides managerial guidance to app developers in enabling social sharing through design choices and generating higher demand.History: Kai Lung Hui, Senior Editor; Beibei Li, Associate Editor.Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1151. Collapse

Topics: mobile application Facebook Twitter iOS accounting

Methods: deep learning robustness check computational algorithm word embedding natural language processing