Avoiding the Diffusion of Responsibility in Social Networking Groups: A Field Experiment on Responses to Online Help-Request Referrals

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

Authors: Feng, Nan; Hu, Zhongtao; Wu, Yi; Choi, Ben

Abstract: Help-request referral (HRR) campaigns are being increasingly adopted by online s ... Expand

Abstract: Help-request referral (HRR) campaigns are being increasingly adopted by online service providers to attract online traffic and engage new users. In these campaigns, participants are required to collect a specific amount of help from their social network in exchange for attractive rewards. Participants often face challenges in obtaining positive feedback from their social networking groups due to the diffusion of responsibility. Based on the triangle model of responsibility, this study proposes and empirically tests a research model that examines two key determinants (i.e., request personalization and relational closeness) of recipients’ perceived responsibility that further shape their responses to HRR. Our field experiment empirically supports the research hypotheses. Overall, this study enriches the literature on online social referrals by focusing on HRR, where social referrals are broadcasted and senders reap referral benefits. The study also provides practical insights for HRR designers and social networking service providers. Collapse

Topics: personalization usability WeChat marketing management online word of mouth

Methods: survey experiment field experiment logistic regression analysis of covariance

A taxonomy for deriving business insights from user-generated content

2023 | European Conference On Information Systems | Citations: 0

Authors: Weingart, Pablo; Wambsganss, Thiemo; Soellner, Matthias

Abstract: Deriving business insights from user-generated content (UGC) is a widely invest ... Expand

Abstract: Deriving business insights from user-generated content (UGC) is a widely investigated phenomenon in information systems (IS) research. Due to its unstructured nature and technical constraints, UGC is still underutilized as a data source in research and practice. Using recent advancements in machine learning research, especially large language models (LLMs), IS researchers can possibly derive these insights more effectively. To guide and further understand the usage of these techniques, we develop a taxonomy that provides an overview of business insights derived from UGC. The taxonomy helps both practitioners and researchers identify, design, compare and evaluate the use of UGC in this IS context. Finally, we showcase an LLM-supported demo application that derives novel business insights and apply the taxonomy to it. In doing so, we show exemplary how LLMs can be used to develop new or extend existing natural language processing (NLP) applications in the realm of IS. Collapse

Topics: database system social network online review social media user-generated content

Methods: natural language processing structured literature research qualitative interview deep learning NLP application

Using the Anchoring Effect and the Cultural Dimensions Theory to Study Customers’ Online Rating Behaviors

2022 | Information Systems Frontiers | Citations: 0

Authors: Wang, Qian; Chau, Michael; Peng, Chih-Hung; Ngai, Eric W. T.

Abstract: This study focuses on the effect of prior average ratings of a product on subseq ... Expand

Abstract: This study focuses on the effect of prior average ratings of a product on subsequent online ratings, and we further analyze whether culture moderates this effect. The anchoring effect theory and cultural dimensions theory serve as the theoretical foundations for our investigation. To our best knowledge, we are the first to introduce the anchoring effect theory into the online review context. This study is also among the first to investigate how culture influences customers’ online evaluations. Empirical results suggest that the prior average rating positively influences subsequent customers’ posted ratings, and this positive influence is significantly moderated by culture. Besides theoretical contributions, our insights may also strategically benefit online sellers by increasing customer satisfaction and improving long-term sales. Collapse

Topics: online word of mouth cross cultural research website decision making user-generated content

Methods: statistical hypothesis test ordinary least square survey regression analysis method theoretical contribution

Theories: cultural dimensions theory social influence theory

Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms

2021 | Decision Support Systems | Citations: 0

Authors: Bogaert, Matthias; Ballings, Michel; Van den Poel, Dirk; Oztekin, Asil

Abstract: This paper aims to determine the power of social media data (Facebook and Twitte ... Expand

Abstract: This paper aims to determine the power of social media data (Facebook and Twitter) in predicting box office sales, which platforms, data types and variables are the most important and why. To do so, we compare several models based on movie data, Facebook data, and Twitter data. We benchmark these model comparisons using various prediction algorithms. Next, we apply information-fusion sensitivity analysis to evaluate which variables are driving the predictive performance. Our analysis shows that social media data significantly increases the predictive power of traditional box office prediction models. Facebook data clearly outperform Twitter data and including user-generated content next to marketer-generated always improves predictive power. Our sensitivity analysis reveals that volume and valence based combination variables pertaining to Facebook comments are the most important variables. Furthermore, we provide an in-depth analysis of the potential mechanisms driving differential predictive ability of Facebook and Twitter. Our findings suggest that Twitter has less of an impact on box office sales than Facebook because Twitter users have less source credibility than Facebook users. Our results are important for practitioners, marketers and academics who want to employ social media data for box office sales predictions. Collapse

Topics: Twitter Facebook social media application programming interface user-generated content

Methods: computational algorithm sensitivity analysis decision tree classification sentiment analysis random forest classification

Theories: signaling theory

Setting the future of digital and social media marketing research: Perspectives and research propositions

2021 | International Journal of Information Management | Citations: 41

Authors: Dwivedi, Yogesh K.; Ismagilova, Elvira; Hughes, D. Laurie; Carlson, Jamie; Filieri, Raffaele; Jacobson, Jenna; Jain, Varsha; Karjaluoto, Heikki; Kefi, Hajer; Krishen, Anjala S.; Kumar, Vikram; Rahman, Mohammad M.; Raman, Ramakrishnan; Rauschnabel, Philipp A.; Rowley, Jennifer; Salo, Jari; Tran, Gina A.; Wang, Yichuan

Abstract: The use of the internet and social media have changed consumer behavior and the ... Expand

Abstract: The use of the internet and social media have changed consumer behavior and the ways in which companies conduct their business. Social and digital marketing offers significant opportunities to organizations through lower costs, improved brand awareness and increased sales. However, significant challenges exist from negative electronic word-of-mouth as well as intrusive and irritating online brand presence. This article brings together the collective insight from several leading experts on issues relating to digital and social media marketing. The experts’ perspectives offer a detailed narrative on key aspects of this important topic as well as perspectives on more specific issues including artificial intelligence, augmented reality marketing, digital content management, mobile marketing and advertising, B2B marketing, electronic word of mouth and ethical issues therein. This research offers a significant and timely contribution to both researchers and practitioners in the form of chal­ lenges and opportunities where we highlight the limitations within the current research, outline the research gaps and develop the questions and propositions that can help advance knowledge within the domain of digital and social marketing. Collapse

Topics: social media social media marketing marketing management augmented reality smart device

Methods: theory development structured literature research cross sectional research survey

Theories: transaction cost economics

VINDICTIVE WORD-OF-MOUTH ON SOCIAL MEDIA PLATFORMS – AN EMPIRICAL INVESTIGATION OF DRIVERS AND THEIR MEASUREMENT

2020 | European Conference On Information Systems | Citations: 0

Authors: Papen, Marie-Christin; Göttling, Janine; Heinrich, Kai; Kraus, Lisa; Leyh, Christian; Siems, Florian

Abstract: ... Expand

Abstract: Collapse

Topics: online word of mouth word of mouth Facebook social media personality

Methods: survey meta analysis descriptive statistic statistical hypothesis test experiment

Theories: personality theory big five model representation theory

Editorial Introduction

2019 | Journal of Management Information Systems | Citations: 0

Authors: Zwass, Vladimir

Abstract: The Special Issue on Immersive Systems is introduced to you by the Guest Editors ... Expand

Abstract: The Special Issue on Immersive Systems is introduced to you by the Guest Editors, Huseyin Cavusoglu, Alan R. Dennis, and Jeffrey Parsons. Immersive systems are deployed to change the user's perception of reality, and in our discipline we study this capability with the objective of reaching organizational goals. A virtual reality system may afford a superior capability to plan surgeries or market real estate; an augmented reality component of a plane maintenance IS may help to bring knowledge to the technicians at the point and time of application; a serious game may instruct employees in a newly appealing and effective way. Collapse

Topics: online word of mouth personality fake news crowdsourcing word of mouth

Methods: design methodology experimental design

Online shopping post-payment dissonance: Dissonance reduction strategy using online consumer social experiences

2017 | International Journal of Information Management | Citations: 0

Authors: Liao, Tze-Hsien

Abstract: a b s t r a c tThis study applied the concept of online consumer social experie ... Expand

Abstract: a b s t r a c tThis study applied the concept of online consumer social experiences (OCSEs) to reduce online shopping post-payment dissonance (i.e., dissonance occurring between online payment and product receipt). Two types of OCSEs were developed: indirect social experiences (IDSEs) and virtual social experiences (VSEs). Two studies were conducted, in which 447 college students were enrolled. Study 1 compared the effects of OCSEs and non-OCSEs when online shopping post-payment dissonance occurred. The results indicate that providing consumers affected by online shopping post-payment dissonance with OCSEs reduces dissonance and produces higher satisfaction, higher repurchase intention, and lower complaint intention than when no OCSEs are provided. In addition, consumers' interpersonal trust (IPT) and susceptibility to interpersonal informational influence (SIII) moderated the positive effects of OCSEs. Study 2 compared the effects of IDSEs and VSEs when online shopping post-payment dissonance occurred. The results suggest that the effects of IDSEs and VSEs on satisfaction, repurchase intention, and complaint intention are moderated by consumers' computing need for control (CNC) and computer-mediated communication apprehension (CMCA). The consumers with high CNC and low CMCA preferred VSEs, whereas the consumers with low CNC and high CMCA preferred IDSEs. The effects of VSEs and IDSEs on consumers with high CNC and CMCA and those with low CNC and CMCA were not significantly different. Collapse

Topics: electronic commerce website personality laptop computer tablet

Methods: multivariate analysis of variance ANOVA parametric test data transformation experiment

Theories: cognitive dissonance theory big five model uses and gratifications theory flow theory control theory

F-Commerce platform for apparel online social shopping: Testing a Mowen’s 3M model

2015 | International Journal of Information Management | Citations: 0

Authors: Kang, Ju-Young M.; Johnson, Kim K.P.

Abstract: Applying the Meta-Theoretic Model of Motivation and Personality (3M Model), this ... Expand

Abstract: Applying the Meta-Theoretic Model of Motivation and Personality (3M Model), this research examined (1) whether online social shopping intention in Facebook commerce was affected by users’ personality traits, psychographic characteristics, and gratifications and (2) whether tie strength and homophily moderated the links between gratifications and intention. U.S. Facebook users who had online social shopping experience (n = 601) were drawn from a consumer panel. Users who were market mavens and social browsers were likely to use online social shopping for the purpose of socializing and intended to engage in online social shopping. Users who were value conscious and social browsers were likely to use online social shopping for the purpose of information-seeking and intended to engage in online social shopping. Tie strength and homophily moderated the links between gratifications and intention. Collapse

Topics: Facebook personality word of mouth online word of mouth website

Methods: survey confirmatory factor analysis data transformation structural equation modeling conceptual modelling

Are You Feeling Lonely? The Impact of Relationship Characteristics and Online Social Network Features on Loneliness

2015 | Journal of Management Information Systems | Citations: 35

Authors: Matook, Sabine; Cummings, Jeff; Bala, Hillol

Abstract: In contemporary society, many people move away from their personal networks for ... Expand

Abstract: In contemporary society, many people move away from their personal networks for extended periods to reach professional and/or educational goals. This separation can often lead to feelings of loneliness, which can be stressful and sometimes debilitating for the individual. We seek to understand how a person’s use of online social networks (OSNs)—technology-enabled tools that assist users with creating and maintaining their relationships—might affect their perceptions of loneliness. Prior research has offered mixed results about how OSNs affect loneliness—reporting both positive and negative effects. We argue in this study that a clearer perspective can be gained by taking a closer look at how individuals approach their relationship management in OSNs. Building on theoretical works on loneliness, we develop a model to explain the effects of relationship characteristics (i.e., relationship orientation, self-disclosure, and networking ability) and OSN features (i.e., active or passive) on perceived loneliness. Our findings show that OSN can be linked to both more and less perceived loneliness, that is, individuals’ relationship orientation significantly affects their feelings of loneliness, which are further moderated by their degree of self-disclosure within the OSN. Furthermore, how users engage in the OSN (either actively or passively) influences their perceptions of loneliness. Practical implications regarding perceived loneliness include recommendations for firms to encourage mobile workers to utilize OSNs when separated from others, for education providers to connect with their new students before they arrive, and for users to utilize OSNs as a social bridge to others they feel close with. Collapse

Topics: Facebook social network information system use personality individual characteristic

Methods: survey partial least squares regression survey design theory development descriptive statistic

Theories: social exchange theory communication theory management theory