Dynamics of control on digital platforms

2023 | Information Systems Journal | Citations: 1

Authors: Ens, Nicola; Hukal, Philipp; Blegind Jensen, Tina

Abstract: Digital platforms are supraorganizational entities that use digital technology t ... Expand

Abstract: Digital platforms are supraorganizational entities that use digital technology to facilitate interactions between diverse actors, leading to novel forms of organisation and accompanying forms of control. The current Information Systems (IS) literature, however, struggles to describe control on digital platforms in a way that does justice to the dynamic character of the phenomenon. Taking this as an opportunity, we follow the enactment of control over time and across parties in a hybrid ethnographic study of the social commerce platform Poshmark. Specifically, we conceptualise the dynamics of control as changes in the means of control—formal or informal—and the sources of control—operator or participants—over time. Tracking these conceptual dimensions, we identify the distinct ways control has changed on Poshmark. Synthesising these findings into four dynamics of control, we show that control on digital platforms is rarely static due to aggregate effects arising from the operator and from participant interactions with each other through the digital features deployed on the platform. Based on these insights, our study contributes to the IS literature on control by broadening the conception of control on digital platforms. The theoretical and practical insights generated in this paper thereby lay the foundation for the systematic study of the dynamics of control that are unique to platform environments. Collapse

Topics: digital platform social commerce Facebook social media IT career

Methods: ethnography qualitative interview synthesis design artifact case study

CRYPTOCURRENCIES, STABLECOINS AND CENTRAL BANK DIGITAL CURRENCIES: THE IMPACT OF TRUST AND PERCEIVED RISK

2023 | European Conference On Information Systems | Citations: 0

Authors: Hamm, Peter

Abstract: Financial technology is undergoing rapid developments with the arrival of crypt ... Expand

Abstract: Financial technology is undergoing rapid developments with the arrival of cryptocurrencies, the introduction of stablecoins, and more recently the discussion surrounding central bank digital currencies. The adoption of these technologies has received significant attention, but there has not yet been any research as to how the adoption factors for the three currencies differ, given their inherent similarities. This paper proposes to estimate the effect of trust and perceived risk on the adoption intention of the three aforementioned payment systems by creating three closely-matched questionnaires for each digital currency. This will enable us to estimate the effects of risk and trust in a way that makes it possible to compare the effect sizes for the different technologies, and can help evaluate whether a reduction of perceived market risk is sufficient for cryptocurrency adoption, and whether backing by the central bank may confer more benefits to adoption than the trustlessness touted for cryptocurrencies. Collapse

Topics: stablecoin cryptocurrency IT security threat self efficacy social commerce

Methods: survey meta analysis

Theories: unified theory of acceptance and use of technology technology acceptance theory

Longitudinal analysis assessing swift guanxi on live streaming shopping

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Hsu, Chiung-Wen; Fu, JenRuei

Abstract: Longitudinal analysis assessing swift guanxi on live streaming shopping" (2023) ... Expand

Abstract: Longitudinal analysis assessing swift guanxi on live streaming shopping" (2023). AMCIS 2023 Proceedings. 2. https://aisel.aisnet.org/amcis2023/sig_globdev/sig_globdev/2 Abstract Given the cultural uniqueness of China, swift guanxi has been demonstrated as a substantial factor in directing purchase intention in social commerce. Although many studies examined swift guanxi in livestreaming shopping, the majority of the studies were conducted using a cross-sectional design, suffering from shortages in which no understanding of the long-term causal effect of swift guanxi and its antecedents. The purpose of this study is to examine how swift guanxi has a continuous long-term effect on purchase intention. In addition, how streamers' characteristics (i.e. attractiveness, expertise) and social interaction (i.e., WOM) affect swift guanxi over a period of time. A conceptual model is developed and empirically tested based on four waves of a longitudinal survey of viewers who have repeated watching experiences for the same live-streaming shopping program. This study contributes to increasing the validity of the research model concerning swift guanxi in the context of live-streaming shopping using the longitudinal design, where the relative effects on swift guanxi are empirically compared over time. Collapse

Topics: social commerce word of mouth

Methods: longitudinal research structural equation modeling survey design within subject experiment

Beyond a bunch of reviews: The quality and quantity of electronic word-of-mouth

2023 | Information & Management | Citations: 0

Authors: Hung, Shiu-Wan; Chang, Che-Wei; Chen, Ssu-Yu

Abstract: This work proposed an integrated model incorporating review quality and quantity ... Expand

Abstract: This work proposed an integrated model incorporating review quality and quantity to explore the extent to which consumers adopt electronic word-of-mouth (e-WOM) information. A linear structural equation model was employed to analyze 435 valid responses and test it against the hypotheses. The empirical results suggest that in terms of e-WOM the influence of review quantity outweighs that of the review quality. Review consistency negatively correlates with informational influence. Consumers are alert to highly consistent reviews and may easily doubt ones that contain similar content. Furthermore, the relationship between perceived persuasiveness and social influence will not be inhibited by confirmation bias. Collapse

Topics: online word of mouth social influence electronic commerce decision making social network

Methods: survey structural equation modeling statistical hypothesis test theory development data transformation

Theories: technology acceptance theory

A SYSTEMATIC REVIEW OF COMPUTATIONAL METHODS IN AND RESEARCH TAXONOMY OF HOMOPHILY IN INFORMATION SYSTEMS

2023 | European Conference On Information Systems | Citations: 0

Authors: LI, Yisheng; Vatrapu, Ravi; Zihayat, Morteza

Abstract: Homophily is both a principle for social group formation with like-minded peopl ... Expand

Abstract: Homophily is both a principle for social group formation with like-minded people as well as a mechanism for social interactions. Recent years have seen a growing body of management research on homophily particularly on large-scale social media and digital platforms. However, the predominant traditional qualitative and quantitative methods employed face validity issues and/or are not well-suited for big social data. There are scant guidelines for applying computational methods to specific research domains concerning descriptive patterns, explanatory mechanisms, or predictive indicators of homophily. To fill this research gap, this paper offers a structured review of the emerging literature on computational social science approaches to homophily with a particular emphasis on their relevance, appropriateness, and importance to information systems research. We derive a research taxonomy for homophily and offer methodological reflections and recommendations to help inform future research.Although computational methods are increasingly being adopted for and adapted to information systems (IS) research in general and homophily research in particular, there is a dearth of comprehensive reviews and guidelines of research methodologies appropriate to homophily in digital systems. Most extant literature either qualitatively measures perceived homophily with pre-validated surveys (e.g., "My new Facebook friend: "is similar to/like me") or quantitatively tests hypotheses about homophily with regression models (Dvir-Gvirsman, 2017;Liu and Brown, 2014;Shalizi and Thomas, 2011;Song et al., 2019). Nevertheless, traditional survey-based methods may face threats to construct validity while many regression models like logistic regression may not be a fit for some social network relationships in which observations are not independent (Chipidza and Tripp, 2018;Lazer et al., 2020). To fill the research lacuna, our paper is motivated to offer a structured review of the methodologies being leveraged to study homophily with special emphasis on state-of-the-art computational methods in IS application domains. Our review outlines a roadmap to big data-driven studies in IS by focusing on patterns, explanations, and predictions of homophily in business and social commerce settings and highlighting methodological novelty such as blending traditional research methods with machine learning (ML) that informs future research design. We propose a taxonomy that classifies research themes, data collection techniques, and computational methods in data-driven management research on the mass digitization of homophily. The rest of this paper is organized as follows. Section 2 describes the methodological foundations drawn from the reference discipline of computational social science (CSS). Section 3 presents our literature review procedure. Section 4 reviews two CSS approaches particularly suitable for homophily-social network analysis (SNA) and text analytics. Section 5 illustrates their utility in understanding different dimensions of homophily, especially in the application domains of IS. Section 6 outlines a taxonomy and offers several methodological guidelines for future research. Collapse

Topics: recommender system explainable artificial intelligence privacy database system Facebook

Methods: natural language processing literature study social network analysis survey regression analysis method

Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach

2023 | Information Systems Frontiers | Citations: 0

Authors: Leong, Lai-Ying; Hew, Teck-Soon; Ooi, Keng-Boon; Metri, Bhimaraya; Dwivedi, Yogesh K.

Abstract: The theory of planned behavior (TPB) is popular in social commerce research, but ... Expand

Abstract: The theory of planned behavior (TPB) is popular in social commerce research, but existing studies have yielded inconclusive and inconsistent findings. As TPB was developed before the introduction of the Internet, Web 2.0 technologies, and social media, it is time to evaluate whether its relevance, effectiveness, novelty, and parsimony may have deteriorated due to temporal factors and the emergence of new Information Systems (IS) artifacts. In this work, an extended TPB2 is proposed by integrating social support, and MASEM analysis was conducted using a pooled correlation matrix. The findings revealed that TPB2 can better capture the nature of social commerce, as it can explain 28.4% of the variance in attitude, 59.0% of the variance in behavioral intention, and 9% of the variance in use behavior. In addition, it indicates that masculinity and uncertainty avoidance are the most significant Hofstedian cultural dimensions. The theoretical and managerial implications are also discussed along with the research agenda. Collapse

Topics: behavioral intention artificial intelligence social commerce conversational commerce organizational productivity

Methods: structural equation modeling meta analysis path analysis literature sample literature study

Theories: cultural dimensions theory theory of planned behavior

EXPLORING VIRTUAL INFLUENCERS' POTENTIAL TO REDUCE INTERETHNIC INTOLERANCE IN ONLINE YOUTH COMMUNICATION

2023 | European Conference On Information Systems | Citations: 0

Authors: Levkov, Nikola; Santa, Mijalche; Kitanovikj, Bojan

Abstract: ... Expand

Abstract: Collapse

Topics: social media societal evaluation criteria social influence video conference usability

Methods: focus group group interview design artifact qualitative content analysis design artifact testing

Towards a model of social commerce: improving the effectiveness of e-commerce through leveraging social media tools based on consumers’ dual roles

2023 | European Journal of Information Systems | Citations: 0

Authors: Lin, Xiaolin; Wang, Xuequn

Abstract: Social media has been integrated into traditional e-commerce, creating an innova ... Expand

Abstract: Social media has been integrated into traditional e-commerce, creating an innovative technology-based approach to changing business practice and service, yet few researchers have attempted to provide an understanding of how this approach is changing consumer decision-making and purchase behaviours. Combining the expectation-confirmation theory and the expectation-confirmation model and information systems continuance, we propose a model for social commerce, illustrating how social media is utilised in online shopping as a three-fold process (pre-purchase, purchase, and post-purchase stages) from a consumer perspective. The model consists of three phases: social commerce motivation, social commerce adoption, and e-commerce effectiveness. Using two rounds of surveys, we find that (1) autonomous motivation and controlled motivation have positive effects on social commerce information seeking and sharing, and (2) social commerce information seeking formulates consumers’ pre-purchase decisions, thus affecting their actual purchase outcomes, repurchase intentions, and social commerce information-sharing intentions in the post-purchase stage. In addition, our study indicates that consumers may play dual roles in social commerce: as information seekers in the pre-purchase stage and as information providers in the post-purchase stage. Our findings have important implications for literature and practice. Collapse

Topics: social commerce electronic commerce social media information exchange consumer behavior

Methods: survey partial least squares regression theory development conceptual modelling survey design

Theories: expectation confirmation theory self determination theory

Unlocking the shopping myth: Can smartphone dependency relieve shopping anxiety? – A mixed-methods approach in UK Omnichannel retail

2023 | Information & Management | Citations: 0

Authors: Lyu, Jing (Daisy); Krasonikolakis, Ioannis; Chen, Cheng-Hao (Steve)

Abstract: Digital technologies have enriched various consumer shopping patterns across mul ... Expand

Abstract: Digital technologies have enriched various consumer shopping patterns across multiple contexts and channels. Smartphones, as the most daily dependent device, have altered and assisted individual shopping decisions in omnichannel retailing. Drawing on the uses and gratifications theory, this research investigates emerging smartphone uses and consumers’ corresponding gratifications in shopping centers. Following a sequential mixedmethods approach, we first conducted semi-structured interviews with forty-three shoppers followed by a tar­ geted survey in the similar fields. The findings allowed us to group nine specific smartphone uses into utilitarian, hedonic and social gratifications; moreover, both utilitarian and hedonic gratifications reduce state anxiety whereas social gratifications do not impact perceived anxiety. Consequently, a reduced level of state anxiety from achieved gratifications will significantly enhance consumer’s purchase intentions. We offer insightful theoretical contributions and implications to marketing practitioners. Collapse

Topics: smartphone marketing management mobile application anonymity consumer behavior

Methods: qualitative interview personal interview survey mediation analysis structural equation modeling

Theories: uses and gratifications theory

All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning

2023 | Decision Support Systems | Citations: 0

Authors: Mikalef, Patrick; Sharma, Kshitij; Chatterjee, Sheshadri; Chaudhuri, Ranjan; Parida, Vinit; Gupta, Shivam

Abstract: Understanding what information is important for consumers when making a purchase ... Expand

Abstract: Understanding what information is important for consumers when making a purchase-related decision has been a key question for researchers and practitioners ever since the advent of empirical research in commerce. Nevertheless, our knowledge of what information is important has been formed primarily through post-purchase conscious capturing approaches, such as surveys and questionnaires. To overcome these limitations, we ground this research on an exploratory study that captures eye-tracking data during a decision-making task of product selection. Grounded on the dynamic attention theory, we utilize different information types and formats present on a popular social commerce platform, to identify elements which are important when deciding about online product purchase decision. Specifically, we employ a series of prediction algorithms and use an ensemble learning setup to predict the aspects that contribute to product selection by consumers. Our analysis highlights the most important informational cues to accurately predict product selection among alternatives. In addition, the results showcase how such elements shift in importance during the temporal sequence of comparing different product alternatives. Our results provide insight into how we can understand the journey of decision-making for social commerce customers when navigating through information to select a product. In addition, it opens the discussion about the shifts that eye-tracking in combination with machine learning can create for researchers and marketers. Collapse

Topics: decision making social commerce website user requirement web page

Methods: oculometry computational algorithm ensemble learning machine learning eye tracking tool

Theories: cognitive attention theory