Pub Date : 2023-12-05DOI: 10.1007/s12525-023-00672-1
Leonie Kuen, Daniel Westmattelmann, Maike Bruckes, Gerhard Schewe
Trust has been identified as inevitable for technology acceptance and might further gain importance as technologies become increasingly complex. However, previous research on trust in online environments lacks a systematic configuration of trust entities in research models; some studies include either trust in technology or trust in provider, others both. In combination with inconsistent results, this leads to a lack of in-depth knowledge about the trust entities’ relationship to each other, to their antecedents, and intention to use. Therefore, this study aims at clarifying these relationships and examining how they vary for different configurations. We performed pairwise meta-analyses to generate summary effects for the individual trust entities and examined four different trust configurations by applying meta-analytic structural equation modeling (MASEM). Our findings advance technology acceptance and trust research and highlight the necessity to carefully configure trust. More specifically, the results from pairwise meta-analysis support a strong relationship between the trust entities that is, however, countered by the effects of antecedents in MASEM. Institution-based trust and reputation are found stronger predictors for trust in provider and familiarity a stronger determinant of trust in technology. Furthermore, the trust entities show comparable paths to intention to use when either trust entity is included in the research model, but when both are integrated, trust in technology is more important than trust in provider.
{"title":"Who earns trust in online environments? A meta-analysis of trust in technology and trust in provider for technology acceptance","authors":"Leonie Kuen, Daniel Westmattelmann, Maike Bruckes, Gerhard Schewe","doi":"10.1007/s12525-023-00672-1","DOIUrl":"https://doi.org/10.1007/s12525-023-00672-1","url":null,"abstract":"<p>Trust has been identified as inevitable for technology acceptance and might further gain importance as technologies become increasingly complex. However, previous research on trust in online environments lacks a systematic configuration of trust entities in research models; some studies include either trust in technology or trust in provider, others both. In combination with inconsistent results, this leads to a lack of in-depth knowledge about the trust entities’ relationship to each other, to their antecedents, and intention to use. Therefore, this study aims at clarifying these relationships and examining how they vary for different configurations. We performed pairwise meta-analyses to generate summary effects for the individual trust entities and examined four different trust configurations by applying meta-analytic structural equation modeling (MASEM). Our findings advance technology acceptance and trust research and highlight the necessity to carefully configure trust. More specifically, the results from pairwise meta-analysis support a strong relationship between the trust entities that is, however, countered by the effects of antecedents in MASEM. Institution-based trust and reputation are found stronger predictors for trust in provider and familiarity a stronger determinant of trust in technology. Furthermore, the trust entities show comparable paths to intention to use when either trust entity is included in the research model, but when both are integrated, trust in technology is more important than trust in provider.</p>","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":"2010 12","pages":""},"PeriodicalIF":8.5,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138518501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-05DOI: 10.1007/s12525-023-00682-z
Liang Li, Mingxu Wang, Xiaohao Zhou
The popularity of online marketplaces continues to grow worldwide, and with it comes increased attention to the non-economic value they provide. This study aims to analyze the environmental, social, and governance (ESG) reports and news of 13 online marketplace operators and examine their engagement in ESG practices, considering their characteristics and the social environment. By comparing their practices with the generic ESG framework, the study identifies unique factors and approaches specific to ESG practices in online marketplaces, such as constructing industry ecology, contributing to national current affairs and policies, protecting intellectual property, and focusing on information and network security. The study also finds that market transactions, digital innovation, and participant ecology are three key mechanisms that explain the specificity of ESG practices in online marketplaces. The findings of this study offer an ESG framework that can be applied to online marketplaces. It highlights the importance of considering online marketplaces’ social environment and individual characteristics in developing ESG practices. This study provides insights for online marketplace operators to improve their ESG practices and contributes to a growing body of literature on non-economic value creation in online marketplaces.
{"title":"Creating value beyond commercial outcomes: The ESG practices of online marketplaces for sustainable development","authors":"Liang Li, Mingxu Wang, Xiaohao Zhou","doi":"10.1007/s12525-023-00682-z","DOIUrl":"https://doi.org/10.1007/s12525-023-00682-z","url":null,"abstract":"<p>The popularity of online marketplaces continues to grow worldwide, and with it comes increased attention to the non-economic value they provide. This study aims to analyze the environmental, social, and governance (ESG) reports and news of 13 online marketplace operators and examine their engagement in ESG practices, considering their characteristics and the social environment. By comparing their practices with the generic ESG framework, the study identifies unique factors and approaches specific to ESG practices in online marketplaces, such as constructing industry ecology, contributing to national current affairs and policies, protecting intellectual property, and focusing on information and network security. The study also finds that market transactions, digital innovation, and participant ecology are three key mechanisms that explain the specificity of ESG practices in online marketplaces. The findings of this study offer an ESG framework that can be applied to online marketplaces. It highlights the importance of considering online marketplaces’ social environment and individual characteristics in developing ESG practices. This study provides insights for online marketplace operators to improve their ESG practices and contributes to a growing body of literature on non-economic value creation in online marketplaces.</p>","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":"2010 10","pages":""},"PeriodicalIF":8.5,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138518502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-27DOI: 10.1007/s12525-023-00681-0
Peiyu Zhou, Yuguang Xie, Changyong Liang
Artificial intelligence (AI) voice assistants possess significant market potential and offer diverse services through voice interaction. However, the influence of anthropomorphic features on consumers’ mind perception and continued use intention, particularly across various age groups, remains underexplored. To address this research gap, we employ mind perception theory, the stimulus–organism-response model, and cognitive load theory to conduct a research model. Using a sample of 303 survey responses, we evaluate the research model and hypotheses through partial least squares analysis. Findings reveal that these features positively affect alleviating loneliness and enhancing perceived usefulness. Additionally, the alleviation of loneliness and perceived usefulness contribute to consumers’ continued use intention and mediate the relationship between anthropomorphic features and continued use intention. Furthermore, the effect of anthropomorphic features on mind perception varies across age groups. This research enhances understanding of the influence of anthropomorphic features on consumers’ mind perception and continued use intention of AI voice assistants, providing valuable insights for product developers and marketers to enhance the consumer experience.
{"title":"How to increase consumers’ continued use intention of artificial intelligence voice assistants? The role of anthropomorphic features","authors":"Peiyu Zhou, Yuguang Xie, Changyong Liang","doi":"10.1007/s12525-023-00681-0","DOIUrl":"https://doi.org/10.1007/s12525-023-00681-0","url":null,"abstract":"<p>Artificial intelligence (AI) voice assistants possess significant market potential and offer diverse services through voice interaction. However, the influence of anthropomorphic features on consumers’ mind perception and continued use intention, particularly across various age groups, remains underexplored. To address this research gap, we employ mind perception theory, the stimulus–organism-response model, and cognitive load theory to conduct a research model. Using a sample of 303 survey responses, we evaluate the research model and hypotheses through partial least squares analysis. Findings reveal that these features positively affect alleviating loneliness and enhancing perceived usefulness. Additionally, the alleviation of loneliness and perceived usefulness contribute to consumers’ continued use intention and mediate the relationship between anthropomorphic features and continued use intention. Furthermore, the effect of anthropomorphic features on mind perception varies across age groups. This research enhances understanding of the influence of anthropomorphic features on consumers’ mind perception and continued use intention of AI voice assistants, providing valuable insights for product developers and marketers to enhance the consumer experience.</p>","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":"2010 15","pages":""},"PeriodicalIF":8.5,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138518500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-14DOI: 10.1007/s12525-023-00671-2
Rainer Schmidt, Rainer Alt, Alfred Zimmermann
Abstract Many assistant systems have evolved toward assistant platforms. These platforms combine a range of resources from various actors via a declarative and generative interface. Among the examples are voice-oriented assistant platforms like Alexa and Siri, as well as text-oriented assistant platforms like ChatGPT and Bard. They have emerged as valuable tools for handling tasks without requiring deeper domain expertise and have received large attention with the present advances in generative artificial intelligence. In view of their growing popularity, this Fundamental outlines the key characteristics and capabilities that define assistant platforms. The former comprise a multi-platform architecture, a declarative interface, and a multi-platform ecosystem, while the latter include capabilities for composition, integration, prediction, and generativity. Based on this framework, a research agenda is proposed along the capabilities and affordances for assistant platforms.
{"title":"Assistant platforms","authors":"Rainer Schmidt, Rainer Alt, Alfred Zimmermann","doi":"10.1007/s12525-023-00671-2","DOIUrl":"https://doi.org/10.1007/s12525-023-00671-2","url":null,"abstract":"Abstract Many assistant systems have evolved toward assistant platforms. These platforms combine a range of resources from various actors via a declarative and generative interface. Among the examples are voice-oriented assistant platforms like Alexa and Siri, as well as text-oriented assistant platforms like ChatGPT and Bard. They have emerged as valuable tools for handling tasks without requiring deeper domain expertise and have received large attention with the present advances in generative artificial intelligence. In view of their growing popularity, this Fundamental outlines the key characteristics and capabilities that define assistant platforms. The former comprise a multi-platform architecture, a declarative interface, and a multi-platform ecosystem, while the latter include capabilities for composition, integration, prediction, and generativity. Based on this framework, a research agenda is proposed along the capabilities and affordances for assistant platforms.","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":"4 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136232458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-09DOI: 10.1007/s12525-023-00674-z
Mei-Ju Chen
{"title":"Antecedents and outcomes of virtual presence in online shopping: A perspective of SOR (Stimulus-Organism-Response) paradigm","authors":"Mei-Ju Chen","doi":"10.1007/s12525-023-00674-z","DOIUrl":"https://doi.org/10.1007/s12525-023-00674-z","url":null,"abstract":"","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":" 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135243382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-04DOI: 10.1007/s12525-023-00668-x
Helena Weith, Christian Matt
Abstract While voice agent product recommendations (VAPR) can be convenient for users, their underlying artificial intelligence (AI) components are subject to recommendation engine opacities and audio-based constraints, which limit users’ information level when conducting purchase decisions. As a result, users might feel as if they are being treated unfairly, which can lead to negative consequences for retailers. Drawing from the information processing and stimulus-organism-response theory, we investigate through two experimental between-subjects studies how process explanations and process visualizations—as additional information provision measures—affect users’ perceived fairness and behavioral responses to VAPRs. We find that process explanations have a positive effect on fairness perceptions, whereas process visualizations do not. Process explanations based on users’ profiles and their purchase behavior show the strongest effects in improving fairness perceptions. We contribute to the literature on fair and explainable AI by extending the rather algorithm-centered perspectives by considering audio-based VAPR constraints and directly linking them to users’ perceptions and responses. We inform practitioners how they can use information provision measures to avoid unjustified perceptions of unfairness and adverse behavioral responses.
{"title":"Information provision measures for voice agent product recommendations— The effect of process explanations and process visualizations on fairness perceptions","authors":"Helena Weith, Christian Matt","doi":"10.1007/s12525-023-00668-x","DOIUrl":"https://doi.org/10.1007/s12525-023-00668-x","url":null,"abstract":"Abstract While voice agent product recommendations (VAPR) can be convenient for users, their underlying artificial intelligence (AI) components are subject to recommendation engine opacities and audio-based constraints, which limit users’ information level when conducting purchase decisions. As a result, users might feel as if they are being treated unfairly, which can lead to negative consequences for retailers. Drawing from the information processing and stimulus-organism-response theory, we investigate through two experimental between-subjects studies how process explanations and process visualizations—as additional information provision measures—affect users’ perceived fairness and behavioral responses to VAPRs. We find that process explanations have a positive effect on fairness perceptions, whereas process visualizations do not. Process explanations based on users’ profiles and their purchase behavior show the strongest effects in improving fairness perceptions. We contribute to the literature on fair and explainable AI by extending the rather algorithm-centered perspectives by considering audio-based VAPR constraints and directly linking them to users’ perceptions and responses. We inform practitioners how they can use information provision measures to avoid unjustified perceptions of unfairness and adverse behavioral responses.","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":"38 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135773618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-04DOI: 10.1007/s12525-023-00673-0
Martin Haupt, Anna Rozumowski, Jan Freidank, Alexander Haas
Abstract Chatbots as prominent form of conversational agents are increasingly implemented as a user interface for digital customer-firm interactions on digital platforms and electronic markets, but they often fail to deliver suitable responses to user requests. In turn, individuals are left dissatisfied and turn away from chatbots, which harms successful chatbot implementation and ultimately firm’s service performance. Based on the stereotype content model, this paper explores the impact of two universally usable failure recovery messages as a strategy to preserve users’ post-recovery satisfaction and chatbot re-use intentions. Results of three experiments show that chatbot recovery messages have a positive effect on recovery responses, mediated by different elicited social cognitions. In particular, a solution-oriented message elicits stronger competence evaluations, whereas an empathy-seeking message leads to stronger warmth evaluations. The preference for one of these message types over the other depends on failure attribution and failure frequency. This study provides meaningful insights for chatbot technology developers and marketers seeking to understand and improve customer experience with digital conversational agents in a cost-effective way.
{"title":"Seeking empathy or suggesting a solution? Effects of chatbot messages on service failure recovery","authors":"Martin Haupt, Anna Rozumowski, Jan Freidank, Alexander Haas","doi":"10.1007/s12525-023-00673-0","DOIUrl":"https://doi.org/10.1007/s12525-023-00673-0","url":null,"abstract":"Abstract Chatbots as prominent form of conversational agents are increasingly implemented as a user interface for digital customer-firm interactions on digital platforms and electronic markets, but they often fail to deliver suitable responses to user requests. In turn, individuals are left dissatisfied and turn away from chatbots, which harms successful chatbot implementation and ultimately firm’s service performance. Based on the stereotype content model, this paper explores the impact of two universally usable failure recovery messages as a strategy to preserve users’ post-recovery satisfaction and chatbot re-use intentions. Results of three experiments show that chatbot recovery messages have a positive effect on recovery responses, mediated by different elicited social cognitions. In particular, a solution-oriented message elicits stronger competence evaluations, whereas an empathy-seeking message leads to stronger warmth evaluations. The preference for one of these message types over the other depends on failure attribution and failure frequency. This study provides meaningful insights for chatbot technology developers and marketers seeking to understand and improve customer experience with digital conversational agents in a cost-effective way.","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":"38 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135773619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-23DOI: 10.1007/s12525-023-00675-y
Lisa Gussek, Alex Grabbe, Manuel Wiesche
Abstract Freelancers working on digital labor platforms have to deal with many challenges. IT freelancers should be considered separately due to special characteristics such as high skill level or collaborative nature of IT work. Through a Latent Dirichlet Allocation analysis of 2804 forum posts with over 20,000 comments from IT freelancers and additional qualitative analysis, we assign themes to each identified topic, cluster them into aggregated dimensions, and illustrate the interrelationships in a model of IT freelancing. Thus, we examine the challenges of IT freelancers and synthesize them. We extend the challenges of online freelancing already outlined in the literature and identify four IT-specific challenges for IT freelancers. Therefore, we improve our understanding of how IT work is performed on digital labor platforms and which particular aspects should be considered in future research. Furthermore, we highlight implications for practitioners, i.e., IT freelancers on the one hand and platform owners on the other hand.
{"title":"Challenges of IT freelancers on digital labor platforms: A topic model approach","authors":"Lisa Gussek, Alex Grabbe, Manuel Wiesche","doi":"10.1007/s12525-023-00675-y","DOIUrl":"https://doi.org/10.1007/s12525-023-00675-y","url":null,"abstract":"Abstract Freelancers working on digital labor platforms have to deal with many challenges. IT freelancers should be considered separately due to special characteristics such as high skill level or collaborative nature of IT work. Through a Latent Dirichlet Allocation analysis of 2804 forum posts with over 20,000 comments from IT freelancers and additional qualitative analysis, we assign themes to each identified topic, cluster them into aggregated dimensions, and illustrate the interrelationships in a model of IT freelancing. Thus, we examine the challenges of IT freelancers and synthesize them. We extend the challenges of online freelancing already outlined in the literature and identify four IT-specific challenges for IT freelancers. Therefore, we improve our understanding of how IT work is performed on digital labor platforms and which particular aspects should be considered in future research. Furthermore, we highlight implications for practitioners, i.e., IT freelancers on the one hand and platform owners on the other hand.","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135411503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-23DOI: 10.1007/s12525-023-00678-9
Zulal Isler, Meltem Kiygi-Calli, Maryam El Oraiby
{"title":"Babbling through social media: A cross-country study mapping out social networks using eWOM intentions","authors":"Zulal Isler, Meltem Kiygi-Calli, Maryam El Oraiby","doi":"10.1007/s12525-023-00678-9","DOIUrl":"https://doi.org/10.1007/s12525-023-00678-9","url":null,"abstract":"","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":"4 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135367971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-13DOI: 10.1007/s12525-023-00676-x
Xiaorong He, Tong Ye, Dejian Yu
{"title":"Exploring the academic development trace and theme evolution in Cross-Border Electronic Commerce","authors":"Xiaorong He, Tong Ye, Dejian Yu","doi":"10.1007/s12525-023-00676-x","DOIUrl":"https://doi.org/10.1007/s12525-023-00676-x","url":null,"abstract":"","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135854937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}