Pub Date : 2024-12-12DOI: 10.1016/j.ijinfomgt.2024.102866
Ned Kock
Those of us who do research in the field of IS, and who are in schools of business, are commonly faced with rather dim view of the field, figuratively speaking: finance is royalty, accounting is nobility, and the rest (including IS) proudly occupy the house of commons. A major point that is made in this paper is that this can change if IS researchers employ a holistic action research and design science (HARDS) approach, in a way that draws inspiration from the academic trajectories of Isaac Newton and Charles Darwin. It is also argued that IS researchers can particularly benefit from employing HARDS by building closer ties with big technology companies.
{"title":"Action research and design science, Newton and Darwin, and why IS researchers should try HARDS with Big Tech","authors":"Ned Kock","doi":"10.1016/j.ijinfomgt.2024.102866","DOIUrl":"10.1016/j.ijinfomgt.2024.102866","url":null,"abstract":"<div><div>Those of us who do research in the field of IS, and who are in schools of business, are commonly faced with rather dim view of the field, figuratively speaking: finance is royalty, accounting is nobility, and the rest (including IS) proudly occupy the house of commons. A major point that is made in this paper is that this can change if IS researchers employ a holistic action research and design science (HARDS) approach, in a way that draws inspiration from the academic trajectories of Isaac Newton and Charles Darwin. It is also argued that IS researchers can particularly benefit from employing HARDS by building closer ties with big technology companies.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"81 ","pages":"Article 102866"},"PeriodicalIF":20.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Consumer engagement in co-creation is crucial for maintaining a successful and sustainable mobile health (mHealth) ecosystem, as multiple stages of mHealth services require consumer engagement, collaboration, and evaluation. Unlike online health communities and offline medical institutions, mHealth encompasses a technology focus and human-technology interaction. Compared to healthcare providers primarily driven by economic interests, there is a lack of empirical evidence concerning what drives consumer engagement in the co-creation of mHealth. Thus, we adopted a mixed-method design consisting of two qualitative and two quantitative studies. Specifically, we identified four key dimensions through an exploratory qualitative study: quality, interactive factors, technical cognition, and trust. Then, we further analyzed the interrelationship between constructs and proposed our proposed framework based on the DeLone and McLean IS success (D&M) model. Two quantitative studies validated the applicability of the proposed framework in large sample sizes and cross-country contexts (China and the US). In addition, considering the possible asymmetric relationship between the antecedents and consumer engagement, we utilized the fsQCA method to reveal its configuration patterns. Our results further enrich the stream of mHealth research in the information system (IS) fields and value co-creation in technology-enabled healthcare services. Moreover, our focus on technology factors provides opportunities for system design and improvement of mHealth.
{"title":"Helping others is helping oneself: A mixed-methods investigation of antecedents driving consumer engagement in the value co-creation of mHealth platforms","authors":"Chuanhui Wu , Zixin Yang , Qinjian Yuan , Haitao Zhang","doi":"10.1016/j.ijinfomgt.2024.102867","DOIUrl":"10.1016/j.ijinfomgt.2024.102867","url":null,"abstract":"<div><div>Consumer engagement in co-creation is crucial for maintaining a successful and sustainable mobile health (mHealth) ecosystem, as multiple stages of mHealth services require consumer engagement, collaboration, and evaluation. Unlike online health communities and offline medical institutions, mHealth encompasses a technology focus and human-technology interaction. Compared to healthcare providers primarily driven by economic interests, there is a lack of empirical evidence concerning what drives consumer engagement in the co-creation of mHealth. Thus, we adopted a mixed-method design consisting of two qualitative and two quantitative studies. Specifically, we identified four key dimensions through an exploratory qualitative study: quality, interactive factors, technical cognition, and trust. Then, we further analyzed the interrelationship between constructs and proposed our proposed framework based on the DeLone and McLean IS success (D&M) model. Two quantitative studies validated the applicability of the proposed framework in large sample sizes and cross-country contexts (China and the US). In addition, considering the possible asymmetric relationship between the antecedents and consumer engagement, we utilized the fsQCA method to reveal its configuration patterns. Our results further enrich the stream of mHealth research in the information system (IS) fields and value co-creation in technology-enabled healthcare services. Moreover, our focus on technology factors provides opportunities for system design and improvement of mHealth.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"81 ","pages":"Article 102867"},"PeriodicalIF":20.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-10DOI: 10.1016/j.ijinfomgt.2024.102865
Xue Meng, Jianghua Zhang, Xuemei Fu
This study develops a patient-centered Doctor Recommender System (DRS), facilitating patients' doctor choice performance by calculating doctors' "biological distance" based on Multidimensional Sequence Alignment (MSA) method. The distance is measured by doctor-patient interaction attributes, which are acquired from a combination of Levenshtein Distance and opinion mining technology. The XGBoost is used to identify the importance of these attributes. The precision of patient-centered DRS is 72.60 %, and the recommended doctors are significantly different from the doctors chosen by patients lacking medical knowledge. It not only furnishes practical guidance for OHCs in increasing patients' consulting satisfaction, but also illuminates the important properties in improving doctors' popularity.
{"title":"Patient-centered doctor recommender system of online health communities: A multidimensional sequence alignment approach","authors":"Xue Meng, Jianghua Zhang, Xuemei Fu","doi":"10.1016/j.ijinfomgt.2024.102865","DOIUrl":"10.1016/j.ijinfomgt.2024.102865","url":null,"abstract":"<div><div>This study develops a patient-centered Doctor Recommender System (DRS), facilitating patients' doctor choice performance by calculating doctors' \"biological distance\" based on Multidimensional Sequence Alignment (MSA) method. The distance is measured by doctor-patient interaction attributes, which are acquired from a combination of Levenshtein Distance and opinion mining technology. The XGBoost is used to identify the importance of these attributes. The precision of patient-centered DRS is 72.60 %, and the recommended doctors are significantly different from the doctors chosen by patients lacking medical knowledge. It not only furnishes practical guidance for OHCs in increasing patients' consulting satisfaction, but also illuminates the important properties in improving doctors' popularity.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"81 ","pages":"Article 102865"},"PeriodicalIF":20.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-20DOI: 10.1016/j.ijinfomgt.2024.102854
Dan Ma , Jialing Dong , Chien-Chiang Lee
With the rapid development of economic integration and information technology, cross-border e-commerce has become the most important form of e-commerce. However, there are currently many uncertainties in cross-border online shopping, and the low physical proximity exacerbates the psychological distance, perceived risk, and lack of trust, all of which affect consumer decision-making to a considerable extent. This study adopts both quantitative and qualitative methods. A questionnaire survey was conducted among consumers using the Tmall Global platform in Chinese-speaking (433 individuals) and non-Chinese-speaking (379 individuals) regions, and structural equation modeling was used for data analysis. We also conducted a focus group discussion to interpret the quantitative results and provide recommendations for platform improvements. The results show that perceived risk has a negative effect on consumers’ intentions and behaviors to purchase and recommend the platform. Perceived risk can reduce the level of trust, whereas trust and intention can promote consumer behavior.
{"title":"Influence of perceived risk on consumers’ intention and behavior in cross-border e-commerce transactions: A case study of the Tmall Global platform","authors":"Dan Ma , Jialing Dong , Chien-Chiang Lee","doi":"10.1016/j.ijinfomgt.2024.102854","DOIUrl":"10.1016/j.ijinfomgt.2024.102854","url":null,"abstract":"<div><div>With the rapid development of economic integration and information technology, cross-border e-commerce has become the most important form of e-commerce. However, there are currently many uncertainties in cross-border online shopping, and the low physical proximity exacerbates the psychological distance, perceived risk, and lack of trust, all of which affect consumer decision-making to a considerable extent. This study adopts both quantitative and qualitative methods. A questionnaire survey was conducted among consumers using the Tmall Global platform in Chinese-speaking (433 individuals) and non-Chinese-speaking (379 individuals) regions, and structural equation modeling was used for data analysis. We also conducted a focus group discussion to interpret the quantitative results and provide recommendations for platform improvements. The results show that perceived risk has a negative effect on consumers’ intentions and behaviors to purchase and recommend the platform. Perceived risk can reduce the level of trust, whereas trust and intention can promote consumer behavior.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"81 ","pages":"Article 102854"},"PeriodicalIF":20.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-17DOI: 10.1016/j.ijinfomgt.2024.102853
Aleksandra Przegalinska , Tamilla Triantoro , Anna Kovbasiuk , Leon Ciechanowski , Richard B. Freeman , Konrad Sowa
This research examines how artificial intelligence, human capabilities, and task types influence organizational outcomes. By leveraging the frameworks of the Resource-Based View and Task Technology Fit theories, we executed two distinct studies to assess the effectiveness of a generative AI tool in aiding task performance across a spectrum of task complexities and creative demands. The initial study tested the utility of generative AI across diverse tasks and the significance of AI-related skills enhancement. The subsequent study explored interactions between humans and AI, analyzing emotional tone, sentence structure, and word choice. Our results indicate that incorporating AI can significantly improve organizational task performance in areas such as automation, support, creative endeavors, and innovation processes. We also observed that generative AI generally presents more positive sentiment, utilizes simpler language, and has a narrower vocabulary than human counterparts. These insights contribute to a broader understanding of AI's strengths and weaknesses in organizational settings and guide the strategic implementation of AI systems.
{"title":"Collaborative AI in the workplace: Enhancing organizational performance through resource-based and task-technology fit perspectives","authors":"Aleksandra Przegalinska , Tamilla Triantoro , Anna Kovbasiuk , Leon Ciechanowski , Richard B. Freeman , Konrad Sowa","doi":"10.1016/j.ijinfomgt.2024.102853","DOIUrl":"10.1016/j.ijinfomgt.2024.102853","url":null,"abstract":"<div><div>This research examines how artificial intelligence, human capabilities, and task types influence organizational outcomes. By leveraging the frameworks of the Resource-Based View and Task Technology Fit theories, we executed two distinct studies to assess the effectiveness of a generative AI tool in aiding task performance across a spectrum of task complexities and creative demands. The initial study tested the utility of generative AI across diverse tasks and the significance of AI-related skills enhancement. The subsequent study explored interactions between humans and AI, analyzing emotional tone, sentence structure, and word choice. Our results indicate that incorporating AI can significantly improve organizational task performance in areas such as automation, support, creative endeavors, and innovation processes. We also observed that generative AI generally presents more positive sentiment, utilizes simpler language, and has a narrower vocabulary than human counterparts. These insights contribute to a broader understanding of AI's strengths and weaknesses in organizational settings and guide the strategic implementation of AI systems.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"81 ","pages":"Article 102853"},"PeriodicalIF":20.1,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-12DOI: 10.1016/j.ijinfomgt.2024.102852
Minjeong Ham , Sang Woo Lee
As Google explores new personal data strategies, it aims to strike a balance between enhancing privacy and maintaining personalization, ensuring that consumers' data is handled responsibly while still delivering relevant and personalized advertising. This study, based on the privacy calculus framework, employs a mixed-methods approach to address two key objectives: 1) understanding how different levels of personalization impact advertising performance based on the type of data utilized, and 2) exploring the underlying mechanism of consumer reactions to personalized advertising using different types of personal data. To achieve the first research goal, Study 1 integrates Analytic Hierarchy Process (AHP) analysis of survey data from 25 advertisers with econometric analysis of advertising data from a European beauty company. To achieve the second research objective, Study 2 explores consumer perceptions through in-depth interviews and an online survey. The key findings of this study are as follows. The AHP analysis revealed that advertisers prioritize first-party data, especially purchase history, for enhancing personalized targeting. The econometric analysis suggested that while third-party data is currently most effective for enhancing advertising performance, first-party data emerges as a promising alternative in light of evolving advertising policies. Qualitative and quantitative analyses revealed complex interactions between personalization levels, data types, and consumer responses, highlighting the tension between personalization benefit and risk. These insights provide valuable guidance for advertisers, platforms, and policymakers in navigating the changing landscape of digital advertising and personal data privacy.
{"title":"Personal data strategies in digital advertising: Can first-party data outshine third-party data?","authors":"Minjeong Ham , Sang Woo Lee","doi":"10.1016/j.ijinfomgt.2024.102852","DOIUrl":"10.1016/j.ijinfomgt.2024.102852","url":null,"abstract":"<div><div>As Google explores new personal data strategies, it aims to strike a balance between enhancing privacy and maintaining personalization, ensuring that consumers' data is handled responsibly while still delivering relevant and personalized advertising. This study, based on the privacy calculus framework, employs a mixed-methods approach to address two key objectives: 1) understanding how different levels of personalization impact advertising performance based on the type of data utilized, and 2) exploring the underlying mechanism of consumer reactions to personalized advertising using different types of personal data. To achieve the first research goal, Study 1 integrates Analytic Hierarchy Process (AHP) analysis of survey data from 25 advertisers with econometric analysis of advertising data from a European beauty company. To achieve the second research objective, Study 2 explores consumer perceptions through in-depth interviews and an online survey. The key findings of this study are as follows. The AHP analysis revealed that advertisers prioritize first-party data, especially purchase history, for enhancing personalized targeting. The econometric analysis suggested that while third-party data is currently most effective for enhancing advertising performance, first-party data emerges as a promising alternative in light of evolving advertising policies. Qualitative and quantitative analyses revealed complex interactions between personalization levels, data types, and consumer responses, highlighting the tension between personalization benefit and risk. These insights provide valuable guidance for advertisers, platforms, and policymakers in navigating the changing landscape of digital advertising and personal data privacy.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102852"},"PeriodicalIF":20.1,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-15DOI: 10.1016/j.ijinfomgt.2024.102851
Michelle Teng , Wei Song , Tianjiao Liu , Jiaying Dong
With the continuous growth surrounding technology advancements, evaluating ways to utilize this tool to its best abilities is important. This research focuses on using machine-like representations in marketing, expanding on the existing theories of anthropomorphism and dehumanization. Portraying specific body parts as machines can effectively stimulate consumers' motivation to enhance the corresponding capabilities, thereby improving their preference for self-improvement products. Three dimensions of human-as-machine representation are explored: the human brain, heart and arms, experimentally demonstrating that they help consumers identify areas of inadequacy and boost self-improvement motives, especially when self-control is low. Across four studies, study 1 examines the main effects of human-as-machine representation on consumers’ preference for self-improvement products. Study 2 tests the mechanism of self-improvement motives for abilities. Study 3 examines the interaction effect of human-as-machine representation and level of self-control (high vs. low) on consumers’ self-improvement motives for skills and preference for self-improvement products. A final qualitative study was conducted to reveal nuanced distinctions in participants' perspectives on human-as-machine representations, comparing findings across the previous three studies, and identifying opportunities and challenges. Ultimately, the findings suggest that portraying precise body parts as machines enhances the desire to improve the corresponding skills, resulting in a better preference for self-improvement products.
{"title":"Using the influence of human-as-machine representation for self-improvement products","authors":"Michelle Teng , Wei Song , Tianjiao Liu , Jiaying Dong","doi":"10.1016/j.ijinfomgt.2024.102851","DOIUrl":"10.1016/j.ijinfomgt.2024.102851","url":null,"abstract":"<div><div>With the continuous growth surrounding technology advancements, evaluating ways to utilize this tool to its best abilities is important. This research focuses on using machine-like representations in marketing, expanding on the existing theories of anthropomorphism and dehumanization. Portraying specific body parts as machines can effectively stimulate consumers' motivation to enhance the corresponding capabilities, thereby improving their preference for self-improvement products. Three dimensions of human-as-machine representation are explored: the human brain, heart and arms, experimentally demonstrating that they help consumers identify areas of inadequacy and boost self-improvement motives, especially when self-control is low. Across four studies, study 1 examines the main effects of human-as-machine representation on consumers’ preference for self-improvement products. Study 2 tests the mechanism of self-improvement motives for abilities. Study 3 examines the interaction effect of human-as-machine representation and level of self-control (high vs. low) on consumers’ self-improvement motives for skills and preference for self-improvement products. A final qualitative study was conducted to reveal nuanced distinctions in participants' perspectives on human-as-machine representations, comparing findings across the previous three studies, and identifying opportunities and challenges. Ultimately, the findings suggest that portraying precise body parts as machines enhances the desire to improve the corresponding skills, resulting in a better preference for self-improvement products.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102851"},"PeriodicalIF":20.1,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142437910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-09DOI: 10.1016/j.ijinfomgt.2024.102850
Marco Hubert , Shahab Kazemi , Mirja Hubert , Andrea Carugati , Marcello M. Mariani
Advancements in smart home technologies are beneficial and valuable for both users and firms. Nevertheless, users’ acceptance of these applications are considerably influenced by the need for user personalization, complex and dynamic within a smart home environment, and thus, can present limitations. Additionally, the role of a virtual conversational agent, both as an individual entity and as part of a collective network, in the setup and management of various smart home devices warrants further exploration. To investigate the enablers and inhibitors of smart home adoption and the role of virtual conversational agents, a mixed-method design was employed, comprising two studies: a survey of 1403 users (Study 1) and a topic modeling approach based on 355,340 Reddit posts (Study 2). The findings indicate that the usefulness of personalized applications and services, as well as the integration of a virtual conversational agent as a central component, are crucial in facilitating smart home adoption. The empirical analyses provide significant implications for research and practice by extending existing technology acceptance and use models to include smart device assemblages.
{"title":"The exploration of users’ perceived value from personalization and virtual conversational agents to enable a smart home assemblage– A mixed method approach","authors":"Marco Hubert , Shahab Kazemi , Mirja Hubert , Andrea Carugati , Marcello M. Mariani","doi":"10.1016/j.ijinfomgt.2024.102850","DOIUrl":"10.1016/j.ijinfomgt.2024.102850","url":null,"abstract":"<div><div>Advancements in smart home technologies are beneficial and valuable for both users and firms. Nevertheless, users’ acceptance of these applications are considerably influenced by the need for user personalization, complex and dynamic within a smart home environment, and thus, can present limitations. Additionally, the role of a virtual conversational agent, both as an individual entity and as part of a collective network, in the setup and management of various smart home devices warrants further exploration. To investigate the enablers and inhibitors of smart home adoption and the role of virtual conversational agents, a mixed-method design was employed, comprising two studies: a survey of 1403 users (Study 1) and a topic modeling approach based on 355,340 Reddit posts (Study 2). The findings indicate that the usefulness of personalized applications and services, as well as the integration of a virtual conversational agent as a central component, are crucial in facilitating smart home adoption. The empirical analyses provide significant implications for research and practice by extending existing technology acceptance and use models to include smart device assemblages.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102850"},"PeriodicalIF":20.1,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Following the United Nations' Sustainable Development Goals (SDG) recommendations, sustainable technologies are increasingly being introduced as a step toward more sustainable behaviors and efforts against environmental problems. However, a holistic investigation of the main factors influencing its adoption and use is necessary. To this end, this work aims to explain the determinants of sustainable technologies used by consumers. Specifically, we develop a contextualized model that extends the unified theory of acceptance and use of technology 2 (UTAUT2) by leveraging a mixed-methods approach and, therefore, conducting three studies. The so-developed contextualized model of consumer adoption of sustainable technology is tested using 2003 observations from five European countries. Such a sample also provides the opportunity for a cross-country comparison. We found that habit, environmental knowledge, information provision, and innovativeness were significant predictors of sustainable technology use. Additionally, the cross-country comparison revealed that although conclusions are generally consistent across the countries, they differ in some effects, like social influence and price value. Taken together, we thus provide insights into the consumers' motivations to adopt and use sustainable technologies.
{"title":"Extending the unified theory of acceptance and use of technology for sustainable technologies context","authors":"Catarina Neves , Tiago Oliveira , Frederico Cruz-Jesus , Viswanath Venkatesh","doi":"10.1016/j.ijinfomgt.2024.102838","DOIUrl":"10.1016/j.ijinfomgt.2024.102838","url":null,"abstract":"<div><p>Following the United Nations' Sustainable Development Goals (SDG) recommendations, sustainable technologies are increasingly being introduced as a step toward more sustainable behaviors and efforts against environmental problems. However, a holistic investigation of the main factors influencing its adoption and use is necessary. To this end, this work aims to explain the determinants of sustainable technologies used by consumers. Specifically, we develop a contextualized model that extends the unified theory of acceptance and use of technology 2 (UTAUT2) by leveraging a mixed-methods approach and, therefore, conducting three studies. The so-developed contextualized model of consumer adoption of sustainable technology is tested using 2003 observations from five European countries. Such a sample also provides the opportunity for a cross-country comparison. We found that habit, environmental knowledge, information provision, and innovativeness were significant predictors of sustainable technology use. Additionally, the cross-country comparison revealed that although conclusions are generally consistent across the countries, they differ in some effects, like social influence and price value. Taken together, we thus provide insights into the consumers' motivations to adopt and use sustainable technologies.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102838"},"PeriodicalIF":20.1,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000860/pdfft?md5=23f5a1c341e3bef4cabd764f515081e8&pid=1-s2.0-S0268401224000860-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1016/j.ijinfomgt.2024.102845
Olli Tyrväinen , Heikki Karjaluoto
Companies increasingly use social media influencers to engage with consumers and to promote their products. However, despite growing research interest in these parasocial relationships, the nature of parasocial engagement has not yet been comprehensively conceptualized. This study integrated previous studies within a parasocial engagement framework with three dimensions: cognitive processing, affection, and behavior. It used a mixed-methods approach: a meta-analysis of 117 studies with a total of 47,647 respondents and an exploratory qualitative study of 25 interviews. Current accounts of parasocial engagement were extended by identifying influencer characteristics (i.e., expertise, trustworthiness, social attractiveness, physical attractiveness, and congruence) as key elements of the construct. The study findings confirmed that the dimensions of parasocial engagement are collectively related to brand associations and purchase intentions, and that the impact of parasocial engagement on purchase intention is dependent on the product characteristics (i.e., involvement and purchase frequency) and the content type (i.e., picture vs. video). Theoretical and managerial implications of these findings are discussed, and an agenda for future research is proposed.
{"title":"Unrequited love? A mixed-methods study of parasocial engagement with social media influencers","authors":"Olli Tyrväinen , Heikki Karjaluoto","doi":"10.1016/j.ijinfomgt.2024.102845","DOIUrl":"10.1016/j.ijinfomgt.2024.102845","url":null,"abstract":"<div><p>Companies increasingly use social media influencers to engage with consumers and to promote their products. However, despite growing research interest in these parasocial relationships, the nature of parasocial engagement has not yet been comprehensively conceptualized. This study integrated previous studies within a parasocial engagement framework with three dimensions: cognitive processing, affection, and behavior. It used a mixed-methods approach: a meta-analysis of 117 studies with a total of 47,647 respondents and an exploratory qualitative study of 25 interviews. Current accounts of parasocial engagement were extended by identifying influencer characteristics (i.e., expertise, trustworthiness, social attractiveness, physical attractiveness, and congruence) as key elements of the construct. The study findings confirmed that the dimensions of parasocial engagement are collectively related to brand associations and purchase intentions, and that the impact of parasocial engagement on purchase intention is dependent on the product characteristics (i.e., involvement and purchase frequency) and the content type (i.e., picture vs. video). Theoretical and managerial implications of these findings are discussed, and an agenda for future research is proposed.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102845"},"PeriodicalIF":20.1,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000938/pdfft?md5=e04ee49ed2c2355007e4230817a7c13e&pid=1-s2.0-S0268401224000938-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142164920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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