Pub Date : 2023-09-01DOI: 10.1080/10919392.2023.2253086
Abhishek Kumar Jha, Saurabh Kumar
ABSTRACT With the explosion of e-commerce, the potential for new internet portals to mislead or fool consumers has grown significantly. This study investigates the influence of these deceptive actions on customer privacy and their information-sharing behavior. We have used online experimental research to demonstrate the influence of deception on information privacy and information-sharing behavior. We demonstrate that misleading activities such as falsification, concealment and equivocation reduce customers’ trust in the platform and increase their privacy concerns, resulting in a lower willingness to disclose any information on the platforms. We further explain the impact of several types of deceptive tactics in the online purchasing environment and present a mediation model to understand the impact of deception. The study has implications for category managers and consumers of e-commerce platforms.
{"title":"‘DON’T FOOL ME, AS IT IS YOUR LOSS’ - IMPACT OF DECEPTION ON INFORMATION PRIVACY","authors":"Abhishek Kumar Jha, Saurabh Kumar","doi":"10.1080/10919392.2023.2253086","DOIUrl":"https://doi.org/10.1080/10919392.2023.2253086","url":null,"abstract":"ABSTRACT With the explosion of e-commerce, the potential for new internet portals to mislead or fool consumers has grown significantly. This study investigates the influence of these deceptive actions on customer privacy and their information-sharing behavior. We have used online experimental research to demonstrate the influence of deception on information privacy and information-sharing behavior. We demonstrate that misleading activities such as falsification, concealment and equivocation reduce customers’ trust in the platform and increase their privacy concerns, resulting in a lower willingness to disclose any information on the platforms. We further explain the impact of several types of deceptive tactics in the online purchasing environment and present a mediation model to understand the impact of deception. The study has implications for category managers and consumers of e-commerce platforms.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47319764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.1080/10919392.2023.2251328
Sakhhi Chhabra, Jaydeep Mukherjee, Madhushree N Agarwal
ABSTRACT Consumers increasingly protest invasions of privacy by digital applications and platforms, yet they habitually reveal more information than their disclosure intent. This paradoxical behavior has been explained using rational and irrational reasons (cognitive biases and heuristics), but they have been essentially conjectural. Thus, in this research, we empirically verify the existence of the privacy paradox and test four such reasons using quasi-experiments: privacy calculus as a rational explanation, information asymmetry as part of bounded rationality, bandwagon effect as a cognitive bias, and trust as a decision-making heuristic. A dummy app was developed to collect data from 594 mobile application users. The existence of the privacy paradox was tested using regression between privacy concern and actual disclosure. Following this, the reasons for the privacy paradox were tested using ANOVA. We concluded that privacy paradox exists in the defined sample, and the two reasons that explain the privacy paradox are information asymmetry and the peanut effect.
{"title":"UNDERSTANDING PRIVACY PARADOX: AN EXPERIMENTAL APPROACH TO STUDY PRIVACY CONCERNS AND ACTUAL DISCLOSURE AMONG APP USERS","authors":"Sakhhi Chhabra, Jaydeep Mukherjee, Madhushree N Agarwal","doi":"10.1080/10919392.2023.2251328","DOIUrl":"https://doi.org/10.1080/10919392.2023.2251328","url":null,"abstract":"ABSTRACT Consumers increasingly protest invasions of privacy by digital applications and platforms, yet they habitually reveal more information than their disclosure intent. This paradoxical behavior has been explained using rational and irrational reasons (cognitive biases and heuristics), but they have been essentially conjectural. Thus, in this research, we empirically verify the existence of the privacy paradox and test four such reasons using quasi-experiments: privacy calculus as a rational explanation, information asymmetry as part of bounded rationality, bandwagon effect as a cognitive bias, and trust as a decision-making heuristic. A dummy app was developed to collect data from 594 mobile application users. The existence of the privacy paradox was tested using regression between privacy concern and actual disclosure. Following this, the reasons for the privacy paradox were tested using ANOVA. We concluded that privacy paradox exists in the defined sample, and the two reasons that explain the privacy paradox are information asymmetry and the peanut effect.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"1 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45006356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.1080/10919392.2023.2241824
Zhunzhun Liu, Lu-Xi Zou
ABSTRACT The main function of the initial coin offering (ICO) whitepaper is to eliminate the impact of information mismatch between investment and financing parties. Based on signaling theory, this study analyzes the factors that affect the success of ICOs. To analyze the impact of the disclosure of whitepapers on successful ICO fundraising, the whitepaper information is classified into four directions: fundraising characteristics, project characteristics, human capital, and social capital. At the same time, supplement the ICO project information regarding each cryptocurrency with public information on their official website and social media, ensuring the timeliness and integrity of the analyzed data. Analyze the impact of disclosure on the success of an ICO by constructing a logistic regression model. Due to the two extremes of regulation for cryptocurrency in different countries, either their registration is forbidden or the absence of regulation, resulting in the lack of uniform standards for the information disclosed in the whitepaper, and it is difficult to distinguish between true and false. Low-quality information disclosure has little impact on the successful financing of ICOs and has limited reference value to cryptocurrency investors and investors alike.
{"title":"HOW DOES INFORMATION DISCLOSURE OF CRYPTOCURRENCY WHITEPAPER AFFECT INITIAL COIN OFFERING FUNDRAISING SUCCESS?","authors":"Zhunzhun Liu, Lu-Xi Zou","doi":"10.1080/10919392.2023.2241824","DOIUrl":"https://doi.org/10.1080/10919392.2023.2241824","url":null,"abstract":"ABSTRACT The main function of the initial coin offering (ICO) whitepaper is to eliminate the impact of information mismatch between investment and financing parties. Based on signaling theory, this study analyzes the factors that affect the success of ICOs. To analyze the impact of the disclosure of whitepapers on successful ICO fundraising, the whitepaper information is classified into four directions: fundraising characteristics, project characteristics, human capital, and social capital. At the same time, supplement the ICO project information regarding each cryptocurrency with public information on their official website and social media, ensuring the timeliness and integrity of the analyzed data. Analyze the impact of disclosure on the success of an ICO by constructing a logistic regression model. Due to the two extremes of regulation for cryptocurrency in different countries, either their registration is forbidden or the absence of regulation, resulting in the lack of uniform standards for the information disclosed in the whitepaper, and it is difficult to distinguish between true and false. Low-quality information disclosure has little impact on the successful financing of ICOs and has limited reference value to cryptocurrency investors and investors alike.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"33 1","pages":"22 - 40"},"PeriodicalIF":2.9,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47283273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.1080/10919392.2023.2226542
Ali Murat Tiryaki, S. Yücebaş
ABSTRACT The number of e-commerce resources has increased considerably. Thus, it has become important for sellers to be able to quickly recommend products to potential buyers. Some product recommendation systems developed for this purpose. However, due to the lack of semantics, the systems’ success in recommending accurate products according to user preferences is low. In this study carried out within the scope of a state-funded R&D project, an ontology-based personalized product recommendation system named E-Prod was developed. E-Prod tracks various e-commerce systems in real time and transfers the product information to the ontology model. E-Prod uses a novel recommendation approach that combines machine learning and semantic matching to provide personalized recommendations. The system learns user’s preferences based on semantic relationships between products by monitoring their behaviors. In this way, accurate recommendations are made by semantic matching between products and user preferences. E-Prod has been tested with over 250 registered users and compared to traditional collaborative recommendations in terms of accuracy, precision, and recall. As a result, E-Prod outperformed traditional methods by 92.79% accuracy, 92.93% precision, and 90.58% recall. Within the scope of this study, E-Prod covers the clothing, shoes, and bag retail sectors. However, it provides a generic infrastructure for new generation e-commerce systems. Its reusable modules can be adapted to any domain.
{"title":"AN ONTOLOGY BASED PRODUCT RECOMMENDATION SYSTEM FOR NEXT GENERATION E-RETAIL","authors":"Ali Murat Tiryaki, S. Yücebaş","doi":"10.1080/10919392.2023.2226542","DOIUrl":"https://doi.org/10.1080/10919392.2023.2226542","url":null,"abstract":"ABSTRACT The number of e-commerce resources has increased considerably. Thus, it has become important for sellers to be able to quickly recommend products to potential buyers. Some product recommendation systems developed for this purpose. However, due to the lack of semantics, the systems’ success in recommending accurate products according to user preferences is low. In this study carried out within the scope of a state-funded R&D project, an ontology-based personalized product recommendation system named E-Prod was developed. E-Prod tracks various e-commerce systems in real time and transfers the product information to the ontology model. E-Prod uses a novel recommendation approach that combines machine learning and semantic matching to provide personalized recommendations. The system learns user’s preferences based on semantic relationships between products by monitoring their behaviors. In this way, accurate recommendations are made by semantic matching between products and user preferences. E-Prod has been tested with over 250 registered users and compared to traditional collaborative recommendations in terms of accuracy, precision, and recall. As a result, E-Prod outperformed traditional methods by 92.79% accuracy, 92.93% precision, and 90.58% recall. Within the scope of this study, E-Prod covers the clothing, shoes, and bag retail sectors. However, it provides a generic infrastructure for new generation e-commerce systems. Its reusable modules can be adapted to any domain.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"33 1","pages":"1 - 21"},"PeriodicalIF":2.9,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49038060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.1080/10919392.2023.2249785
Jae-Min An, Choong C. Lee, Nayeon Kwak
ABSTRACT YouTube, as a leading platform for video-sharing, has been instrumental in the rise of content creators, including amateur users who have become influential and full-time content creators. To become an influential content creator (ICC), one must possess the necessary competencies. We aim to identify the competencies that affect viewing satisfaction and channel loyalty. Using a mixed-methods approach, we conducted exploratory and confirmatory analyses of highly influential YouTube channels. Three types of ICC competency factors were observed: planning, interaction, and production. The findings provide practical insights into strategies for ICCs to sustain their channels and improve their content as well as guidance for content creators interested in building and increasing channel loyalty and viewing satisfaction.
{"title":"A STUDY ON CONTENT CREATOR COMPETENCIES INFLUENCING YOUTUBE CHANNEL LOYALTY AND VIEWING SATISFACTION","authors":"Jae-Min An, Choong C. Lee, Nayeon Kwak","doi":"10.1080/10919392.2023.2249785","DOIUrl":"https://doi.org/10.1080/10919392.2023.2249785","url":null,"abstract":"ABSTRACT YouTube, as a leading platform for video-sharing, has been instrumental in the rise of content creators, including amateur users who have become influential and full-time content creators. To become an influential content creator (ICC), one must possess the necessary competencies. We aim to identify the competencies that affect viewing satisfaction and channel loyalty. Using a mixed-methods approach, we conducted exploratory and confirmatory analyses of highly influential YouTube channels. Three types of ICC competency factors were observed: planning, interaction, and production. The findings provide practical insights into strategies for ICCs to sustain their channels and improve their content as well as guidance for content creators interested in building and increasing channel loyalty and viewing satisfaction.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"33 1","pages":"70 - 95"},"PeriodicalIF":2.9,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47616333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.1080/10919392.2023.2244386
Swati Jain, Arunabha Mukhopadhyay, Saloni Jain
ABSTRACT The healthcare sector is prone to Distributed Denial-of-Service and Ransomware attacks owing to unsecured networks and software. This results in stalling of outpatient and inpatient operations of a hospital. In this study, we propose an H-CRAM model that computes the risk of a cyber-attack based on the threat appraisal component of the Protection Motivation Theory (PMT) using multinomial logistic regression. We also hypothesize that training the healthcare staff, implementing IT governance, and intervening technology will decrease the probability of the occurrence of a cyber threat. The severity of the risk is computed using Collective Risk Modelling. Next, based on the coping appraisal component of PMT, Rational Choice Theory, and NIST guidelines, we propose that the CIO of a healthcare firm should first reduce the cyber-risk by investing in encrypting Electronic Health Records, Security Incident and Event Management (SIEM) and Security Orchestration, Automation and Response (SOAR) tools. Then pass the residual cyber risk to a cyber insurer.
{"title":"CAN CYBER RISK OF HEALTH CARE FIRMS BE INSURED? A MULTINOMIAL LOGISTIC REGRESSION MODEL","authors":"Swati Jain, Arunabha Mukhopadhyay, Saloni Jain","doi":"10.1080/10919392.2023.2244386","DOIUrl":"https://doi.org/10.1080/10919392.2023.2244386","url":null,"abstract":"ABSTRACT The healthcare sector is prone to Distributed Denial-of-Service and Ransomware attacks owing to unsecured networks and software. This results in stalling of outpatient and inpatient operations of a hospital. In this study, we propose an H-CRAM model that computes the risk of a cyber-attack based on the threat appraisal component of the Protection Motivation Theory (PMT) using multinomial logistic regression. We also hypothesize that training the healthcare staff, implementing IT governance, and intervening technology will decrease the probability of the occurrence of a cyber threat. The severity of the risk is computed using Collective Risk Modelling. Next, based on the coping appraisal component of PMT, Rational Choice Theory, and NIST guidelines, we propose that the CIO of a healthcare firm should first reduce the cyber-risk by investing in encrypting Electronic Health Records, Security Incident and Event Management (SIEM) and Security Orchestration, Automation and Response (SOAR) tools. Then pass the residual cyber risk to a cyber insurer.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"33 1","pages":"41 - 69"},"PeriodicalIF":2.9,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46610197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/10919392.2022.2162288
Yue Xu, Weiping Chen, Terence T. Ow
ABSTRACT The popularity of social network sites provides enterprises with innovative opportunities to build online social capital with customers. However, little is known about how to measure and facilitate the online social capital of a company in the context of social media. This study examined the antecedents of enterprises’ online social capital based on the specific characteristics of their messages posted on social media. Drawing upon the social capital theory, this study first proposed a measurement system of online social capital with users’ digital footprints. By assigning WeChat posts’ characteristics into outer and inner layer features, the empirical findings with 968 WeChat posts show the features of the outer layer, including title vividness and the sequences of posts, have positive effects on acquiring online bridging social capital; other features that consist of content type, content vividness, and customers’ testimonials embedded in a post significantly promote the acquisition of bonding social capital. Further, this study provides guidelines for effective messaging strategies that business executives can use to gain online social capital via social media posts.
{"title":"HOW DOES AN ENTERPRISE USE SOCIAL MEDIA POSTS TO ACQUIRE ONLINE SOCIAL CAPITAL? A MEASUREMENT PERSPECTIVE BASED ON WECHAT USERS’ DIGITAL FOOTPRINTS","authors":"Yue Xu, Weiping Chen, Terence T. Ow","doi":"10.1080/10919392.2022.2162288","DOIUrl":"https://doi.org/10.1080/10919392.2022.2162288","url":null,"abstract":"ABSTRACT The popularity of social network sites provides enterprises with innovative opportunities to build online social capital with customers. However, little is known about how to measure and facilitate the online social capital of a company in the context of social media. This study examined the antecedents of enterprises’ online social capital based on the specific characteristics of their messages posted on social media. Drawing upon the social capital theory, this study first proposed a measurement system of online social capital with users’ digital footprints. By assigning WeChat posts’ characteristics into outer and inner layer features, the empirical findings with 968 WeChat posts show the features of the outer layer, including title vividness and the sequences of posts, have positive effects on acquiring online bridging social capital; other features that consist of content type, content vividness, and customers’ testimonials embedded in a post significantly promote the acquisition of bonding social capital. Further, this study provides guidelines for effective messaging strategies that business executives can use to gain online social capital via social media posts.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"32 1","pages":"175 - 195"},"PeriodicalIF":2.9,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42707885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/10919392.2023.2210049
Yildiray Anagün, Nur Sultan Bolel, Ş. Işık, Serif Ercan Ozkan
ABSTRACT In recent years, managing customer complaints poses a problem for companies due to the increasing market and customer base. One of the most effective ways to speed up the handling of complaints is to categorize customer issues and automatically forward complaints to relevant officers or departments. This reduces the response time to complaints and ensures that specific complaints are being handled by the people with the right expertise. Also, the companies can create a strategy exclusively for certain types of problems, which will hasten the problem resolution. In this article, we propose an intelligent customer complaint management system (CCMS) for financial services organizations. We described a pre-processing technique for Turkish agglutinative language using deep learning algorithms and it was not previously considered in the literature. Furthermore, the performance of the algorithm has been significantly increased by choosing the appropriate combinations of pre-processing tasks. The proposed method not only greatly increases text classification’s utility for a broader range of customer complaints, but it also yields improved overall performance, recorded with a 96% accuracy score. The findings of the experiments show that the proposed approach is more effective than the other state-of-the-art strategies.
{"title":"DEEP LEARNING-BASED CUSTOMER COMPLAINT MANAGEMENT","authors":"Yildiray Anagün, Nur Sultan Bolel, Ş. Işık, Serif Ercan Ozkan","doi":"10.1080/10919392.2023.2210049","DOIUrl":"https://doi.org/10.1080/10919392.2023.2210049","url":null,"abstract":"ABSTRACT In recent years, managing customer complaints poses a problem for companies due to the increasing market and customer base. One of the most effective ways to speed up the handling of complaints is to categorize customer issues and automatically forward complaints to relevant officers or departments. This reduces the response time to complaints and ensures that specific complaints are being handled by the people with the right expertise. Also, the companies can create a strategy exclusively for certain types of problems, which will hasten the problem resolution. In this article, we propose an intelligent customer complaint management system (CCMS) for financial services organizations. We described a pre-processing technique for Turkish agglutinative language using deep learning algorithms and it was not previously considered in the literature. Furthermore, the performance of the algorithm has been significantly increased by choosing the appropriate combinations of pre-processing tasks. The proposed method not only greatly increases text classification’s utility for a broader range of customer complaints, but it also yields improved overall performance, recorded with a 96% accuracy score. The findings of the experiments show that the proposed approach is more effective than the other state-of-the-art strategies.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"32 1","pages":"217 - 231"},"PeriodicalIF":2.9,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46429264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/10919392.2023.2215666
C. Kopplin
ABSTRACT The uses and gratifications approach is used to examine chatbot acceptance in coworking spaces, identifying how coworkers perceive the technology and may use it to facilitate their tasks. To do so, potential influence factors shaping technology acceptance are explored, and a sample of 101 German coworkers is employed to confirm the framework drawing on a quantitative combination of partial least squares structural equation modeling and necessary condition analysis. Instrumental and non-instrumental gratifications, as well as social norm, influence chatbot acceptance in the form of sufficient and necessary conditions, and social norm appears to have a more substantial impact than hedonic factors in terms of sufficiency. However, social norm is not a necessary condition. A moderator analysis reveals that privacy concerns, age and gender do not affect individuals’ intention to use a chatbot. Coworking space providers thus benefit from establishing a standard chatbot solution to leverage social norm, and the chosen solution needs to fulfill hedonic expectations in addition to being useful. Software vendors may also integrate dedicated interfaces to powerful solutions such as ChatGPT.
{"title":"CHATBOTS IN THE WORKPLACE: A TECHNOLOGY ACCEPTANCE STUDY APPLYING USES AND GRATIFICATIONS IN COWORKING SPACES","authors":"C. Kopplin","doi":"10.1080/10919392.2023.2215666","DOIUrl":"https://doi.org/10.1080/10919392.2023.2215666","url":null,"abstract":"ABSTRACT The uses and gratifications approach is used to examine chatbot acceptance in coworking spaces, identifying how coworkers perceive the technology and may use it to facilitate their tasks. To do so, potential influence factors shaping technology acceptance are explored, and a sample of 101 German coworkers is employed to confirm the framework drawing on a quantitative combination of partial least squares structural equation modeling and necessary condition analysis. Instrumental and non-instrumental gratifications, as well as social norm, influence chatbot acceptance in the form of sufficient and necessary conditions, and social norm appears to have a more substantial impact than hedonic factors in terms of sufficiency. However, social norm is not a necessary condition. A moderator analysis reveals that privacy concerns, age and gender do not affect individuals’ intention to use a chatbot. Coworking space providers thus benefit from establishing a standard chatbot solution to leverage social norm, and the chosen solution needs to fulfill hedonic expectations in addition to being useful. Software vendors may also integrate dedicated interfaces to powerful solutions such as ChatGPT.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"32 1","pages":"232 - 257"},"PeriodicalIF":2.9,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44212574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/10919392.2023.2177070
Isotilia Costa Melo, P. N. A. Junior, J. S. Callefi, T. K. Kodama, M. S. Nagano, D. Rebelatto
ABSTRACT In competitive markets, such as electronic commerce, evaluations of base-level performance and benchmarking are fundamental for retailers focusing efforts. Hence, we propose a new and practical approach to measuring retailers’ relative performance and benchmarking through a unique index that integrates digital, physical, and financial factors. We investigated 13 traditional retailers controlling 36 marketplaces (i.e., online platforms) in Brazil in 2020. The traffic to the marketplace, the companies’ inventory, capital intensity (physical infrastructure), and gross margin were used in the slacks-based measure and data envelopment analysis (DEA) model, followed by a slacks-based measure super-efficiency model for the sensitivity analysis. Companies’ relative performance is then determined, as well as thei customized targets for achieving efficiency. Three types of marketplaces are explored: pure (direct sales from suppliers to consumers for a fee), reselling (products purchased from suppliers and resold), and hybrid (both options direct and resale, depending on the product). Although data envelopment analysis has already been applied to examine retailers’ performance, there are few extant applications to e-commerce. Our findings show that retailers who operate through specialized (normally reselling) marketplaces tend to be inefficient, and retailers prefer to manage one non-specialized (normally hybrid) marketplace and focus efforts on achieving efficiency instead of managing many marketplaces inefficiently.
{"title":"A PERFORMANCE INDEX FOR TRADITIONAL RETAILERS INCORPORATING DIGITAL MARKETPLACE: BENCHMARKING THROUGH DATA ENVELOPMENT ANALYSIS (DEA)","authors":"Isotilia Costa Melo, P. N. A. Junior, J. S. Callefi, T. K. Kodama, M. S. Nagano, D. Rebelatto","doi":"10.1080/10919392.2023.2177070","DOIUrl":"https://doi.org/10.1080/10919392.2023.2177070","url":null,"abstract":"ABSTRACT In competitive markets, such as electronic commerce, evaluations of base-level performance and benchmarking are fundamental for retailers focusing efforts. Hence, we propose a new and practical approach to measuring retailers’ relative performance and benchmarking through a unique index that integrates digital, physical, and financial factors. We investigated 13 traditional retailers controlling 36 marketplaces (i.e., online platforms) in Brazil in 2020. The traffic to the marketplace, the companies’ inventory, capital intensity (physical infrastructure), and gross margin were used in the slacks-based measure and data envelopment analysis (DEA) model, followed by a slacks-based measure super-efficiency model for the sensitivity analysis. Companies’ relative performance is then determined, as well as thei customized targets for achieving efficiency. Three types of marketplaces are explored: pure (direct sales from suppliers to consumers for a fee), reselling (products purchased from suppliers and resold), and hybrid (both options direct and resale, depending on the product). Although data envelopment analysis has already been applied to examine retailers’ performance, there are few extant applications to e-commerce. Our findings show that retailers who operate through specialized (normally reselling) marketplaces tend to be inefficient, and retailers prefer to manage one non-specialized (normally hybrid) marketplace and focus efforts on achieving efficiency instead of managing many marketplaces inefficiently.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"32 1","pages":"196 - 216"},"PeriodicalIF":2.9,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43701547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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