Guihua Zhang , Sarbottam Bhagat , Sung Ho Lee , Dae Wan Kim , Dan J. Kim
{"title":"From game to beyond game: Exploring the role of 3D rendering technology in user immersion and virtual consumption in the Metaverse","authors":"Guihua Zhang , Sarbottam Bhagat , Sung Ho Lee , Dae Wan Kim , Dan J. Kim","doi":"10.1016/j.dss.2024.114383","DOIUrl":"10.1016/j.dss.2024.114383","url":null,"abstract":"<div><div>The Metaverse is a virtual shared space that merges physical and digital realities, allowing users to have immersive experiences with avatars and interact in various ways such as socializing, gaming, and commerce. Despite ongoing research on rendering technology and its impact on user immersion, empathy, and virtual consumption from a perspective of social needs, the field is still in its infancy. Little attention has been paid to the role of 3D rendering technology in user immersion synesthesia and virtual consumption in the Metaverse. To address this gap, this study adopts the Stimulus-Organism-Response (S-O-R) model as an overarching theoretical framework and proposes a research model exploring the relationship between user needs and rendering technology as stimuli, user immersion, and empathy as the organism, and virtual consumption behavior as the response. Using empirical user data from Metaverse platforms, the study examines the proposed model. The findings reveal that rendering technology and user needs positively influence user immersion and stimulate virtual consumption. This study provides a new perspective and theoretical foundation for research on Metaverse platforms and expands the scope of virtual consumption studies.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114383"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Metaverse advertising and promotional effectiveness: The route from immersion to joy","authors":"Rahul Kumar , Shubhadeep Mukherjee , Indranil Bose","doi":"10.1016/j.dss.2024.114386","DOIUrl":"10.1016/j.dss.2024.114386","url":null,"abstract":"<div><div>The emerging technologies, immersive systems, and metaverse are evolving at a rapid pace. These advancements are creating and offering unique opportunities for individuals, platforms, and businesses through virtual interactions. This proliferation is also gathering attention of marketeers and advertising agencies as the metaverse can conduct campaigns with a recreational touch. However, little is known about the constituents that are essential for metaverse advertising. Furthermore, the role of such unexplored elements on promotional effectiveness is also unknown. This study captures first-hand expressions of netizens about metaverse to explore and identify the constituents underlying metaverse advertising and their influence on promotional effectiveness. We observe immersion as the key constituent in fostering joy which mediates the effectiveness of metaverse advertising. We therefore inform the practice to design immersive advertising campaigns which can spur positive emotions. We also elaborate the role of technology preparedness and metaverse based communities in shaping the future of such innovative form of advertising. We guide future technology developers to concentrate on platform interoperability and underscore the role of social media influencers for channelling endorsements to ensure promotional effectiveness.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114386"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards sustainable consumption decision-making: Examining the interplay of blockchain transparency and information-seeking in reducing product uncertainty","authors":"Maryam Hina , Najmul Islam , Xin (Robert) Luo","doi":"10.1016/j.dss.2024.114370","DOIUrl":"10.1016/j.dss.2024.114370","url":null,"abstract":"<div><div>To facilitate the promotion of sustainable consumption decision-making, organizations might employ blockchain technology to offer transparent information regarding the sustainability of their products. Nonetheless, consumers often seek supplementary information from diverse sources. The inconsistent or conflicting information across these sources can complicate the process of making sustainable consumption decisions. Prior studies lack an understanding of how blockchain transparency and information-seeking shape individual decision-making regarding sustainable consumption. In this study, building on signaling theory, we have developed a model to understand how blockchain transparency and the consumers' information-seeking tendencies may reduce sustainable product uncertainty. To analyze our research model, first, we conducted five focus group interviews with 21 participants to understand their information needs while making sustainable consumption decisions in the context of the fashion apparel industry. The results of the focus groups helped us craft a scenario and user interface (UI) for a novel blockchain-based app for sustainable consumption. We then collected data from 282 European consumers and examined direct path coefficients and indirect moderated mediation effects. The findings highlight that blockchain transparency affects the trustworthiness of product sustainability and improves consumer satisfaction, which in turn reduces sustainable product uncertainty. The relationship between blockchain transparency and satisfaction is reduced by information-seeking. This finding implies that the consumers' experience of blockchain transparency in terms of enhanced satisfaction is not always consistent and instead depends on their inclination to seek information.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114370"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrating direct and indirect views for group recommendation: An inter- and intra-view contrastive learning method","authors":"Xiangyu Li , Xunhua Guo , Guoqing Chen","doi":"10.1016/j.dss.2024.114380","DOIUrl":"10.1016/j.dss.2024.114380","url":null,"abstract":"<div><div>The growing popularity of online social networking has made it increasingly important to develop group recommender systems (RS) for delivering personalized services to the members of user groups. However, owing to the sparsity of data on group–item interactions (G–I interactions), existing group recommendation methods have concentrated on modeling user–item interactions (U–I interactions), which has limited the validity of the extracted group preferences. We propose a novel inter- and intra-view contrastive learning (I2VC) method for group recommendation, focusing on combining the direct view concerning group–item records and the indirect view concerning user–item records. The proposed method features a contrastive learning mechanism that incorporates two strategies (i.e., inter-view learning and intra-view learning) to overcome challenges in achieving the cross-view matching of the same group and the within-view discrimination among different groups. We empirically evaluate the proposed method using two real-world datasets. The results show that our method is more effective than other group recommendation methods. In addition, our findings show that the I2VC method is capable of boosting the alignment of strongly correlated group embeddings and the dispersion of weakly correlated ones, further demonstrating its effectiveness in view collaboration.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114380"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ainara Novales , Martin Mocker , Eric van Heck , Jan Dul
{"title":"Realizing desired effects from digitized product affordances: A case study of key inhibiting factors","authors":"Ainara Novales , Martin Mocker , Eric van Heck , Jan Dul","doi":"10.1016/j.dss.2024.114365","DOIUrl":"10.1016/j.dss.2024.114365","url":null,"abstract":"<div><div>Despite the potential of IoT-enriched digitized products, firms struggle to generate desired impact. We investigate the alignment of actualized digitized product potentials (i.e., affordances) with organizational goals, examining how the emergence of critical inhibiting factors affect the generation of desired effects. We conduct an embedded single case study of four actualized digitized product potentials within a professional equipment manufacturer and explore how the emergence of inhibiting factors prevents the generation of desired effects. Using Necessary Condition Analysis (NCA), six key inhibiting factors are identified. Our findings contribute to affordance theory and digital innovation research in three ways: a) we provide an extended affordance-actualization model that theorizes the process by which emerging key inhibiting factors are addressed via the implementation of (re-)actions to generate desired effects that are aligned with the organizational goals of actualized digitized product potentials, (b) we identify six key inhibiting factors that affect the generation of desired effects and that re-examine the role of data with respect to the “technology” element in affordance theory, and (c) we apply NCA to affordance theory for the first time and show how it can contribute to identifying critical factors during the realization of technology potentials.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114365"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Time for a change! Uprooting users embedded in the status quo from habitual decision-making","authors":"Xue Sun , Bo Guo , Yufeng Yang , Yu Pan","doi":"10.1016/j.dss.2024.114371","DOIUrl":"10.1016/j.dss.2024.114371","url":null,"abstract":"<div><div>Introducing the feature of “Buy Again” or “Order Again” is a common practice for online platforms to facilitate consumer repurchases. Although the adoption of these features can cultivate consumers' dependence on focal products and promote habitual purchases, it potentially hinders the promotion of new products and reduces consumer choice diversity. This raises a broader issue of how to inhibit habitual decision-making, rendering exploring the underlying mechanisms for inhibiting habitual decision-making essential, a topic largely overlooked by previous literature. To address this gap, this research explores how decision-related new information, namely Bayesian updating information, influences consumers' repeated decision-making. Utilizing the paradigm of Monty Hall dilemma, the findings show that Bayesian updating information curtails habitual decisions by encouraging consumers to choose alternative options in both scenarios in which the initial choices are self-decided or given by default. Applying the HDDM (hierarchical drift-diffusion model), the results indicate that, in both scenarios, Bayesian updating information reduces consumers' status quo bias, i.e., mitigates their initial preferences for initial choices, and facilitates the accumulation of evidence for changing initial choices. Notably, when the initial choices are self-decided, consumers with Bayesian updating information tend to seek more evidence to make decisions than those without it, while this trend is not observed when the initial choices are given by default. These findings deepen our understanding of online repeated decision-making and provide valuable insights into the design of decision support systems to discourage consumers' habitual decisions and enhance their choice diversity in online shopping.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114371"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digitalization of the natural sciences: Design science research and computational science","authors":"Veda C. Storey, Richard L. Baskerville","doi":"10.1016/j.dss.2024.114368","DOIUrl":"10.1016/j.dss.2024.114368","url":null,"abstract":"<div><div>In the natural sciences, many research activities now require the support of digital artifacts. This digitalization of science has led to the need to develop essential, specialized, devices and software. Computational science is a branch of science that especially requires such artifacts. This research examines computational science to identify its challenges and successes in developing and applying digital artifacts as it moves to digital science. We propose that it might be possible and helpful to support digital artifact creation by applying results from research in design science. We are especially motivated by the types of problems encountered in computational science and how they might be supported by design science research methods and evaluation approaches to develop and assess artifacts for important, and complex, real-world problems. In a complementary manner, computational science could provide an area of inquiry for extending design science research into the natural sciences.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114368"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unveiling the metaverse: A comparison of multiple environments","authors":"Sumanta Singha , Kiran Pedada , Pradeep Racherla , Srinivas Pingali","doi":"10.1016/j.dss.2024.114384","DOIUrl":"10.1016/j.dss.2024.114384","url":null,"abstract":"<div><div>The advent of the metaverse is fundamentally altering the relationship dynamics between brands and users. Brands that successfully navigate this new landscape create deeper engagement and foster lasting brand loyalty. Using a multi-method, multi-study approach, we examine the interplay between user characteristics and brand perception in a real metaverse environment called “Universe”, created by a large public sector bank in India. Study 1 involves a qualitative analysis (i.e., focus group discussion) to derive insights for the conceptual model. Study 2 involves quantitative analysis of survey data conducted in three different experimental settings: first-person perspective (1PP), third-person perspective (3PP), and third-person perspective with peer interaction (3PP social). The study reveals that users' social connectedness, technology readiness, and domain literacy positively impact brand perception via two distinct mechanisms: sense of presence and product engagement. Further, our analysis shows that these outcomes vary significantly across the three experimental settings. Whereas product engagement emerges as the dominant mechanism in the 1PP environment, sense of presence emerges as the dominant mechanism in the 3PP social setting. Our study provides several important theoretical and managerial implications for brands, users, and decision science scholars.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114384"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Are you caught in the dilemma of metaverse avatars? The impact of individuals' congruity perceptions on paradoxical emotions and actual behaviors","authors":"Xusen Cheng , Shuang Zhang , Jian Mou","doi":"10.1016/j.dss.2024.114387","DOIUrl":"10.1016/j.dss.2024.114387","url":null,"abstract":"<div><div>As the foundation of the metaverse, three-dimensional avatars are increasingly shaping our personal and professional lives. However, a nuanced reading of avatar literature proposes that avatars can exhibit both positive and negative dimensions, leading to a paradoxical phenomenon. This study aims to conceptualize a holistic framework elucidating the intricate interplay between perceptions, emotions, and actual behaviors to substantiate the salience of paradoxical emotions. Employing a mixed-methods approach comprising think-aloud experiments and interviews (Phase 1), surveys (Phase 2), and follow-up interviews (Phase 3), the study endeavors to develop and validate a model grounded in a three-congruity perspective encompassing self, privacy, and function. Research findings underline that perceived control, social presence, and avatar perception heighten individuals' emotional attachment toward avatars, while social presence mitigates emotional paradoxes. Avatar privacy concern increases emotional paradox without affecting emotional attachment. Additionally, emotional attachment negatively correlates with actual metaverse resistance, whereas emotional paradox positively influences such resistance; conversely, emotional attachment positively correlates with actual metaverse avatar usage. This study extends the existing dual-congruity theory and provides practical implications for metaverse platforms to improve interactive experiences with avatars.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114387"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qi Lu , Wei Du , Shaochen Yang , Wei Xu , J. Leon Zhao
{"title":"Can earnings conference calls tell more lies? A contrastive multimodal dialogue network for advanced financial statement fraud detection","authors":"Qi Lu , Wei Du , Shaochen Yang , Wei Xu , J. Leon Zhao","doi":"10.1016/j.dss.2024.114381","DOIUrl":"10.1016/j.dss.2024.114381","url":null,"abstract":"<div><div>Financial statement frauds by listed firms pose significant challenges to public investors and jeopardize the stability of financial markets. Previous studies have identified deceptive verbal and vocal cues from earnings conference calls as indicators of financial statement fraud. However, these studies only extracted managers' verbal and vocal cues separately over the entire call, neglecting the utterance-level fusion between verbal and vocal cues as well as the multi-turn interaction between analysts and managers. To fill this gap, we develop a novel end-to-end <em><strong>c</strong>ontrastive <strong>m</strong>ulti<strong>m</strong>odal <strong>d</strong>ialogue network</em> (CMMD) that considers both verbal-vocal fusion and multi-role interactions to uncover hidden deceptive cues in earnings conference calls. The proposed model comprises two core modules, namely, the <em>Multimodal Fusion Learning module and the Dialogue Interaction Learning module</em>. Building on Vrij's verbal-nonverbal complementary mechanisms in deception detection, the designed <em>Multimodal Fusion Learning</em> employs contrastive learning to align verbal and vocal cues and a co-attention mechanism to learn cross-modal interaction. Inspired by the Interpersonal Deception Theory that emphasizes the dynamic interaction process between deceivers and targets, the <em>Dialogue Interaction Learning</em> utilizes a dialogue-aware co-attention mechanism to model multi-turn analyst-manager interaction and uses contrastive learning to improve dialogue representations. Our extensive empirical results show that CMMD achieves 8.64 % improvement in detecting fraudulent cases compared to the best baseline model. As such, our study advances the research frontier in fraud detection and contributes an innovative IT artifact in practice.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114381"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}