Differential Impact of Content in Online Communication on Heterogeneous Candidates: A Field Study in Technical Recruitment

2023 | Information Systems Research | Citations: 0

Authors: Aggarwal, Rohit; Lee, Michael J.; Midha, Vishal

Abstract: Recruitment is a critical activity for companies, and the research community has ... Expand

Abstract: Recruitment is a critical activity for companies, and the research community has also shown significant interest in examining technology recruitment. Companies often communicate how they value their employees along with job requirements to potential candidates in a bid to attract them. However, there is an overall lack of understanding of how candidates react to such information and how their motivation toward the job changes with such online communication. Although there is substantial work that examines the decision-making process of managers who do technical hiring, to the best of our knowledge, there is a paucity of work that investigates the decision-making process of technical candidates. The broad research question studied is how including certain content in online communication about a technical job opportunity may (de)motivate heterogeneous candidates differently in applying for the job. We theorize the underlying process of how including certain content in online job communication may influence candidates’ propensity to apply and their minimum acceptable salary increase if they were to join the company. Additionally, we capture mediating variables that influence the effect of different online content on candidates’ propensity to apply and on candidates’ minimum acceptable salary increase. By testing actual job application behavior in a field study, we confirmed the content that can attract high performers while discouraging low performers from applying.History: Yong Tan, Senior Editor; Yan Huang, Associate Editor.Supplemental Material: The online appendices are available at https://doi.org/10.1287/isre.2022.1120. Collapse

Topics: social media electronic mail IS economics economic surplus IT workforce

Methods: experimental group survey field study factor analysis descriptive statistic

Theories: motivation theory

Social media platforms and social enterprise: Bibliometric analysis and systematic review

2023 | International Journal of Information Management | Citations: 0

Authors: Ali, Imran; Balta, Maria; Papadopoulos, Thanos

Abstract: A considerable number of contributions at the intersection of social media platf ... Expand

Abstract: A considerable number of contributions at the intersection of social media platforms and social entrepreneurship has been witnessed over the past decade. The multi-disciplinary nature of current literature necessitates inte­ grative insights on the topic. We thus undertake a two-pronged approach – bibliometric analysis followed by systematic review – to map the extant literature in a structured, objective, and quantitative way. We contribute to the literature as we (i) offer a classification of the literature in three clusters, namely ‘social media platforms, social collaboration and social marketing’, ‘social media platforms and crowdfunding, and ‘social media plat­ forms and crowdsourcing’; (ii) analyze recent research development in each cluster, methodological develop­ ment, countries co-authorship and evolution of research in the area; and (iii) propose a conceptual framework -accompanied by research propositions- that provides an overview of the literature at the intersection of social media platforms, various social entrepreneurial practices and their influence on the social enterprise perfor­ mance. Our review culminates with numerous impactful research avenues for scholarly progression in the area. From a practical standpoint, this review integrates scattered findings into one body, allowing the practitioners and policymakers to discern the role of social media platforms in dealing with emerging societal problems and increasing operational efficiencies of social enterprises (SEs). To the best of our knowledge, this is the first review of its kind, offering unique perspectives at the nexus of social media platforms and SE’s performance. Collapse

Topics: social media crowdsourcing marketing management crowdfunding digital platform

Methods: literature sample bibliometric analysis literature study structured literature research co-citation analysis

Theories: structuration theory dynamic capabilities theory

CO-CREATING VALUE FROM ELECTRIC VEHICLE DIGITAL SERVICES: EFFECT OF PERCEIVED ENVIRONMENTAL PERFORMANCE ON PERSONAL DATA SHARING

2023 | European Conference On Information Systems | Citations: 0

Authors: Alotaibi, Awatif; Barros, Alistair; Degirmenci, Kenan

Abstract: Electric vehicles (EVs) are considered a product rather than a mobility service ... Expand

Abstract: Electric vehicles (EVs) are considered a product rather than a mobility service. The expansion of EV services requires large amounts of personal information. Due to privacy concerns, EV users may deactivate these services, leading to the discontinuance of EV services and value destruction. Service dominant logic is improving insights into the roles of resources (e.g., personal data) and institutions (e.g., concerns) in influencing individual behaviours in value co-creation (e.g., disclosing personal data). This logic is a metaperspective that needs to be integrated with mid-range theories (e.g., the enhanced antecedents-privacy concerns-outcomes) to investigate how resources, institutions and value co-creation are integrated and how to quantify this integration. This study conducted an online survey of EV users. The findings show that privacy awareness, environmental concerns and privacy concerns influence privacy calculus. However, perceived environmental performance has a stronger impact than privacy risks on intentions to continue disclosing personal data for EV services. Collapse

Topics: privacy information privacy concern participatory design environmental sustainability decision making

Methods: survey archival research survey design design methodology partial least squares path modeling

Theories: privacy calculus theory service-dominant logic

Seizing the Potential of Algorithms: The Power of Personalized Persuasive Messages on the Use of Algorithmic Advice

2023 | International Conference on Business Informatics | Citations: 0

Authors: Asbach, Simon; Graf-Vlachy, Lorenz; Fügener, Andreas

Abstract: Recommendations of algorithms are frequently superior to human judgment, but hu ... Expand

Abstract: Recommendations of algorithms are frequently superior to human judgment, but humans often fail to seize the full potential of algorithms. Research has made initial advances to increase the use of algorithmic advice, but achieved levels remain far from optimal. However, research has not yet considered user personality traits to develop interventions to increase the use of algorithms. We propose to communicate the algorithmic advice via a persuasive message that fits the user's regulatory focus, i.e., the tendency towards promotion-versus prevention focus, to create regulatory fit. To test our hypotheses, we conduct an experiment with a forecasting task and 605 participants. Results support a positive effect of a persuasive message on the use of algorithmic advice. Further, results do not support a regulatory fit effect. Our article adds to theory and practice by developing and empirically testing novel interventions to increase the use of algorithms. Next research steps are discussed. Collapse

Topics: personality

Methods: computational algorithm experiment survey statistical hypothesis test statistical power analysis

How social media live streams affect online buyers: A uses and gratifications perspective

2023 | International Journal of Information Management | Citations: 2

Authors: Bawack, Ransome Epie; Bonhoure, Emilie; Kamdjoug, Jean-Robert Kala; Giannakis, Mihalis

Abstract: Social media live streams (SMLSs) are becoming mainstream e-commerce platforms, ... Expand

Abstract: Social media live streams (SMLSs) are becoming mainstream e-commerce platforms, especially for direct selling, offering online retailers (e-tailers) immense consumer interaction and engagement levels. Despite their growing prevalence, e-tailers face difficulties capitalising on this platform to enhance retail operations. This paper ex­ plores how SMLSs affect consumers’ purchase intentions by exploring their motivations for participating in ecommerce SMLSs. To this end, we used the uses and gratifications (U&G) theory to explain how using SMLSs to satisfy consumers’ needs could lead to high or low purchase intentions. It was done by collecting cross-sectional data from 795 consumers who have participated in e-commerce SMLSs. The data were analysed using partial least squares-structural equation modelling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). Our findings revealed that people use SMLSs to satisfy their need for value, social identification, and the me­ dium’s attributes. Based on these findings, we show six configurations that lead to high or low purchase in­ tentions and make corresponding theoretical propositions. Thus, our study contributes to the research and practice of using SMLSs for online shopping. Collapse

Topics: electronic commerce price management social media social network information exchange

Methods: survey partial least squares path modeling structural equation modeling partial least squares regression cross sectional research

Alexa is the New Influencer: An Empirical Study Based on a Relational View

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Bawack, Ransome; Bonhoure, Emilie; MALLEK, Sabrine

Abstract: This paper explores the potential of voice assistants (VAs) as influencers and ... Expand

Abstract: This paper explores the potential of voice assistants (VAs) as influencers and their ability to replace or complement human influencers. VAs are increasingly popular tools for marketing and advertising, providing access to a wide range of information services. VA recommendations have been found to be more effective than consumer reviews in changing consumer behavior when perceived as credible and useful. Nevertheless, existing research has not explored the full potential of VAs in influencing consumer behavior beyond these factors. This paper identifies relevant behavioral factors that affect consumers' decisions to follow VA recommendations. An empirical study of 510 participants revealed that parasocial relationships, peer influence, self-image congruence, and interpersonal attraction positively affect consumers' decisions to follow product purchase recommendations by VAs. The findings extend our understanding of consumers' behavior towards VAs and provide theoretical and practical implications for marketing and information systems research. Collapse

Topics: marketing management conversational agent missing data usage intention

Methods: survey regression analysis method computational algorithm multiple linear regression PLS tool

The Evaluation of Founder Failure and Success by Hiring Firms: A Field Experiment

2023 | Organization Science | Citations: 0

Authors: Botelho, Tristan L.; Chang, Melody

Abstract: Organizations tout the importance of innovation and entrepreneurship. Yet, when ... Expand

Abstract: Organizations tout the importance of innovation and entrepreneurship. Yet, when hiring it remains unclear how they evaluate entrepreneurial human capital—namely, job candidates with founder experience. How hiring firms evaluate this experience—and especially how this evaluation varies by entrepreneurial success and failure—reveals insights into the structures and processes within organizations. Organizations research points to two perspectives related to the evaluation of founder experience: Former founders may be advantaged, due to founder experience signaling high-quality capabilities and human capital, or disadvantaged, due to concerns related to fit and commitment. To identify the dominant class of mechanisms driving the evaluation of founder experience, it is important to consider how these evaluations differ, depending on whether the founder’s venture failed or succeeded. To isolate demand-side mechanisms and hold supply-side factors constant, we conducted a field experiment. We sent applications varying the candidate’s founder experience to 2,400 software engineering positions in the United States at random. We find that former founders received 43% fewer callbacks than nonfounders and that this difference is driven by older hiring firms. Further, this founder penalty is greatest for former successful founders, who received 33% fewer callbacks than former failed founders. Our results highlight that mechanisms related to concerns about fit and commitment, rather than information asymmetry about quality, are most influential when hiring firms evaluate former founders in our context. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.1592. Collapse

Topics: IT career human resource management entrepreneurship systems development innovation management

Methods: qualitative interview field experiment theory development experiment experimental design

Theories: lemon market theory

Conversation Analytics: Can Machines Read between the Lines in Real-Time Strategic Conversations?

2023 | HICSS | Citations: 0

Authors: Chen, Y.; Rui, H.; Whinston, A.

Abstract: Strategic conversations involve one party with an informational advantage and t ... Expand

Abstract: Strategic conversations involve one party with an informational advantage and the other with an interest in the information. This paper proposes machinelearning based measures to quantify the degrees of evasiveness and incoherence of the informed party during real-time strategic conversations. The specific empirical context is the questions and answers (Q&A) part of earnings conference calls during which managers endure high pressure as they face analysts' scrutinizing questions. Being reluctant to disclose adverse information, managers may resort to evasive answers and sometimes respond less coherently due to increased cognitive load. Using data from the earnings calls of the S&P 500 companies from 2006 to 2018, we show that the proposed measures predict worse nextquarter earnings. Moreover, the stock market perceives incoherence as a negative signal. This paper contributes methodologically by developing two novel machinepowered measures to automatically evaluate behavioral cues during real-time strategic conversations. The proposed analytical tools are particularly beneficial to resource-constrained and informationally disadvantaged parties such as retail investors who may not be able to effectively trade on signals buried deep in unstructured conversational data. Collapse

Topics: database system artificial intelligence electronic finance missing data accounting

Methods: computational algorithm BERT deep learning machine learning next sentence prediction

Theories: theory of economic growth

What makes a Tweet so sweet: The neurocognitive effects of hedonic information consumption

2023 | Information & Management | Citations: 0

Authors: Fadel, Kelly J.; Meservy, Thomas O.; Kirwan, C. Brock

Abstract: Hedonic information consumption (HIC) refers to the consumption of information f ... Expand

Abstract: Hedonic information consumption (HIC) refers to the consumption of information for non-task-oriented purposes such as entertainment or pleasure. With the explosive growth of information availability through online channels such as social media, HIC has become a common and growing phenomenon; however, most information systems research to date has focused on factors surrounding information consumption for utilitarian rather than hedonic purposes. In this paper, we take an initial step to inform theory in this area by applying a NeuroIS lens to explore HIC behavior. We postulate that information is more likely to be hedonically consumed when it is appraised as interesting, and that certain characteristics of the information involved in HIC, namely its novelty and valence, play a role in determining its interestingness. Moreover, we hypothesize that HIC is driven by the neurobiological reactions that take place in response to information novelty and valence. We report the results of a behavioral and an fMRI experiment designed to measure the relationship between these information dimensions and neu­ rocognitive responses in the context of a popular social media platform. Our results provide preliminary evidence for differential processing patterns related to novelty and valence that can inform ongoing theory building surrounding HIC behaviors. Collapse

Topics: Twitter social media social media site database system decision making

Methods: experiment functional magnetic resonance imaging theory development NeuroIS magnetic resonance imaging

Theories: theory of information information systems theory

Unraveling the Effects of Mobile Application Usage on Users’ Health Status: Insights from Conservation of Resources Theory

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

Authors: Fu, Shaoxiong; Cai, Zhao; Lim, Eric; Liu, Yong; Tan, Chee-Wee; Lin, Yanqing; Deng, Shengli

Abstract: Numerous studies have documented adverse consequences arising from increased tec ... Expand

Abstract: Numerous studies have documented adverse consequences arising from increased technology usage and advocated for a reduction in such usage as a plausible remedy. However, such recommendations are often infeasible and oversimplistic given mounting evidence attesting to users’ growing reliance on technology in both their personal and professional lives. Building on conservation of resources (COR) theory, we construct a research model to explain how mobile application usage, as delineated by its breadth and depth, affects users’ nomophobia and sleep deprivation, which can have negative impacts on users’ health status. We also consider the moderating influence of physical activity in mitigating the effects of mobile application usage on users’ health. We validated our hypotheses via data collected by surveying 5,842 respondents. Empirical findings reveal that (1) nomophobia is positively influenced by mobile application usage breadth but negatively influenced by mobile application usage depth, (2) sleep deprivation is negatively influenced by mobile application usage breadth but positively influenced by mobile application usage depth, and (3) sleep deprivation and nomophobia negatively impact users’ health status, whereas (4) physical activity attenuates the impact of mobile application usage on sleep deprivation but not nomophobia. The findings from this study not only enrich the extant literature on the health outcomes of mobile application usage by unveiling the impact of mobile application usage patterns and physical activity on users’ health but they also inform practitioners on how calibrating usage breadth and depth, along with encouraging physical activity, can promote healthy habits among users. Collapse

Topics: information system use mobile application mobile system social media smartphone

Methods: survey descriptive statistic mediation analysis structural equation modeling robustness check