Pub Date : 2025-08-09DOI: 10.1016/j.digbus.2025.100143
Chaichana Ampornklinkaew
Given the proliferation of social media influencer marketing, companies are increasingly collaborating with social media influencers (SMIs) to shape consumer decision-making. This study examines how food-related content created by SMIs can influence consumers' imitation intentions. This paper developed an integrated model based on source credibility theory, which was extended to include sales promotion content and platform user-friendliness. We analyzed data from 449 participants using covariance-based structural equation modeling. The results indicate that sales promotions and content attractiveness influence imitation intention indirectly through influencer credibility, while user-friendliness has a direct effect on imitation intention. Theoretically, this research introduces new pathways among the variables being studied. Practically, companies should collaborate with food influencers who produce attractive content and incorporate sales incentives into their posts on relevant social media platforms.
{"title":"The role of social media influencers in influencing consumers' imitation intentions","authors":"Chaichana Ampornklinkaew","doi":"10.1016/j.digbus.2025.100143","DOIUrl":"10.1016/j.digbus.2025.100143","url":null,"abstract":"<div><div>Given the proliferation of social media influencer marketing, companies are increasingly collaborating with social media influencers (SMIs) to shape consumer decision-making. This study examines how food-related content created by SMIs can influence consumers' imitation intentions. This paper developed an integrated model based on source credibility theory, which was extended to include sales promotion content and platform user-friendliness. We analyzed data from 449 participants using covariance-based structural equation modeling. The results indicate that sales promotions and content attractiveness influence imitation intention indirectly through influencer credibility, while user-friendliness has a direct effect on imitation intention. Theoretically, this research introduces new pathways among the variables being studied. Practically, companies should collaborate with food influencers who produce attractive content and incorporate sales incentives into their posts on relevant social media platforms.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"5 2","pages":"Article 100143"},"PeriodicalIF":7.2,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144842544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The primary aim of this study is to examine the factors influencing Generation Z's(GenZ) purchase intentions through their interactions with virtual influencers (VIs). Utilizing judgmental sampling, a sample of 352 individuals with prior experience as VIs was selected to address the research objectives. The data were analyzed using a mixed-method approach, incorporating fuzzy-set Qualitative Comparative Analysis (fsQCA), Partial Least Squares Structural Equation Modeling (PLS-SEM), and Artificial Neural Networks (ANN techniques). The findings highlight the pivotal roles of virtual influencer quality and social presence in shaping purchase intentions, mediated by customer satisfaction. These results underscore the necessity for practitioners to consider the influence of VIs on purchase behavior via customer satisfaction. The study offers valuable insights to firms, aiding in the development of strategies to enhance the effectiveness of VIs in capturing customer attention. By investigating the interplay between virtual influencer quality, social presence, customer satisfaction, and purchase intentions, the research contributes to a deeper understanding of consumer behavior in the context of virtual influencers.
{"title":"From reality to virtuality: Unveiling Gen Z's purchasing behavior through virtual influencers in the metaverse","authors":"Tri-Quan Dang , Tan-Minh Nguyen , Phuc-Thien Tran , Tien-Thao Cong Phan , Thach-Bao Huynh , Luan-Thanh Nguyen","doi":"10.1016/j.digbus.2025.100141","DOIUrl":"10.1016/j.digbus.2025.100141","url":null,"abstract":"<div><div>The primary aim of this study is to examine the factors influencing Generation Z's(GenZ) purchase intentions through their interactions with virtual influencers (VIs). Utilizing judgmental sampling, a sample of 352 individuals with prior experience as VIs was selected to address the research objectives. The data were analyzed using a mixed-method approach, incorporating fuzzy-set Qualitative Comparative Analysis (fsQCA), Partial Least Squares Structural Equation Modeling (PLS-SEM), and Artificial Neural Networks (ANN techniques). The findings highlight the pivotal roles of virtual influencer quality and social presence in shaping purchase intentions, mediated by customer satisfaction. These results underscore the necessity for practitioners to consider the influence of VIs on purchase behavior via customer satisfaction. The study offers valuable insights to firms, aiding in the development of strategies to enhance the effectiveness of VIs in capturing customer attention. By investigating the interplay between virtual influencer quality, social presence, customer satisfaction, and purchase intentions, the research contributes to a deeper understanding of consumer behavior in the context of virtual influencers.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"5 2","pages":"Article 100141"},"PeriodicalIF":7.2,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-10DOI: 10.1016/j.digbus.2025.100138
Andri Dayarana K. Silalahi , Do Thi Thanh Phuong , Adi Prasetyo Tedjakusuma , Ixora Javanisa Eunike , Dalianus Riantama
This study explores the dynamics of consumer impulsive buying behavior—both affective and cognitive—on e-commerce platforms by identifying key shopping motivation factors and examining the role of customer value, which includes both hedonic and utilitarian dimensions. Additionally, the research investigates the moderating effect of time pressure on the relationship between consumer value and impulsive buying behavior. This study uses structural equation modeling (SEM) with Smart-PLS software to analyze data from Indonesian (N = 520) e-commerce buyers. The results indicate that shopping motivations, particularly ‘best deal’ and ‘social’ factors, significantly enhance consumers' hedonic value but do not impact utilitarian value. Hedonic value, in turn, strongly influences affective impulsive buying behavior, whereas utilitarian value does not. Additionally, time pressure moderates the relationship between hedonic value and affective impulsive buying, while having no effect on the link between utilitarian value and cognitive impulsive buying. This study provides a comprehensive look at impulsive buying behavior in e-commerce, focusing on consumer value and the role of time pressure. The findings show that exclusive deals and social interactions boost hedonic value, which has a stronger effect on affective impulsive buying than utilitarian value on cognitive impulsive buying. These insights help e-commerce platforms refine strategies to increase consumer engagement and impulsive purchases.
{"title":"How does time pressure shape impulsive buying behavior? Hedonic vs. utilitarian values emerges as a key driver on E-commerce platforms","authors":"Andri Dayarana K. Silalahi , Do Thi Thanh Phuong , Adi Prasetyo Tedjakusuma , Ixora Javanisa Eunike , Dalianus Riantama","doi":"10.1016/j.digbus.2025.100138","DOIUrl":"10.1016/j.digbus.2025.100138","url":null,"abstract":"<div><div>This study explores the dynamics of consumer impulsive buying behavior—both affective and cognitive—on e-commerce platforms by identifying key shopping motivation factors and examining the role of customer value, which includes both hedonic and utilitarian dimensions. Additionally, the research investigates the moderating effect of time pressure on the relationship between consumer value and impulsive buying behavior. This study uses structural equation modeling (SEM) with Smart-PLS software to analyze data from Indonesian (<em>N</em> = 520) e-commerce buyers. The results indicate that shopping motivations, particularly ‘best deal’ and ‘social’ factors, significantly enhance consumers' hedonic value but do not impact utilitarian value. Hedonic value, in turn, strongly influences affective impulsive buying behavior, whereas utilitarian value does not. Additionally, time pressure moderates the relationship between hedonic value and affective impulsive buying, while having no effect on the link between utilitarian value and cognitive impulsive buying. This study provides a comprehensive look at impulsive buying behavior in e-commerce, focusing on consumer value and the role of time pressure. The findings show that exclusive deals and social interactions boost hedonic value, which has a stronger effect on affective impulsive buying than utilitarian value on cognitive impulsive buying. These insights help e-commerce platforms refine strategies to increase consumer engagement and impulsive purchases.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"5 2","pages":"Article 100138"},"PeriodicalIF":0.0,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-10DOI: 10.1016/j.digbus.2025.100139
Nada Mallah Boustani , Qing Xu , Yan Xu
Digital disruption is one of the most important social megatrends that deeply impact recent and future economic activities. IoT has contributed to the development of Chinese smart cities in recent years. Building on the authors' prior study (Boustani, Xu, & Xu, 2022), which established the mediating role of blockchain adoption between IoT and continuous usage intention, this study investigates how sociodemographic variables moderate these relationships. The authors use Partial Least Squares Structural Equation Modeling (PLS-SEM) and Partial Least Squares Multi-Group Analysis (PLS-MGA) with the SmartPLS software, analyzing a dataset comprising over a thousand samples in China. The authors' findings demonstrate that age positively moderates the blockchain adoption-continuous usage intention relationship, IoT knowledge positively moderates the citizen empowerment-IoT relationship, while frequency of IoT use negatively moderates the social influence-IoT relationship. These results extend UTAUT theory by revealing boundary conditions of technology adoption in smart cities.
{"title":"Sociodemographic impact on smart cities IoT adoption in China","authors":"Nada Mallah Boustani , Qing Xu , Yan Xu","doi":"10.1016/j.digbus.2025.100139","DOIUrl":"10.1016/j.digbus.2025.100139","url":null,"abstract":"<div><div>Digital disruption is one of the most important social megatrends that deeply impact recent and future economic activities. IoT has contributed to the development of Chinese smart cities in recent years. Building on the authors' prior study (<span><span>Boustani, Xu, & Xu, 2022</span></span>), which established the mediating role of blockchain adoption between IoT and continuous usage intention, this study investigates how sociodemographic variables moderate these relationships. The authors use Partial Least Squares Structural Equation Modeling (PLS-SEM) and Partial Least Squares Multi-Group Analysis (PLS-MGA) with the SmartPLS software, analyzing a dataset comprising over a thousand samples in China. The authors' findings demonstrate that age positively moderates the blockchain adoption-continuous usage intention relationship, IoT knowledge positively moderates the citizen empowerment-IoT relationship, while frequency of IoT use negatively moderates the social influence-IoT relationship. These results extend UTAUT theory by revealing boundary conditions of technology adoption in smart cities.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"5 2","pages":"Article 100139"},"PeriodicalIF":0.0,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-09DOI: 10.1016/j.digbus.2025.100137
Lennart Ante , Lorenz Henninger , Sebastian Björn Bauers , Benjamin Schellinger
This article explores blockchain-based fan tokens, a type of cryptocurrency, as a strategic tool for sports clubs to raise funds and involve supporters more directly, offering new avenues for decision-making participation and exclusive fan activities. Drawing on expert interviews in professional football, we identify a spectrum of opportunities, such as revenue growth, global engagement, and enhanced supporter loyalty, alongside significant challenges, including regulatory uncertainty, environmental considerations, and the integration with existing governance structures. In response to these insights, the study proposes a stakeholder-oriented model linking observed advantages and drawbacks with decision-making criteria shaped by stakeholder attributes. The model helps clubs balance diverse interests and potential outcomes when determining whether and how to implement fan tokens. Through this approach, this study provides clubs and associated stakeholders a tool to assess strategic options, accommodate various perspectives, and inform further innovation in digital sports management.
{"title":"Blockchain-based fan tokens as a strategic resource for sports clubs: Opportunities, challenges, and a stakeholder-oriented model","authors":"Lennart Ante , Lorenz Henninger , Sebastian Björn Bauers , Benjamin Schellinger","doi":"10.1016/j.digbus.2025.100137","DOIUrl":"10.1016/j.digbus.2025.100137","url":null,"abstract":"<div><div>This article explores blockchain-based fan tokens, a type of cryptocurrency, as a strategic tool for sports clubs to raise funds and involve supporters more directly, offering new avenues for decision-making participation and exclusive fan activities. Drawing on expert interviews in professional football, we identify a spectrum of opportunities, such as revenue growth, global engagement, and enhanced supporter loyalty, alongside significant challenges, including regulatory uncertainty, environmental considerations, and the integration with existing governance structures. In response to these insights, the study proposes a stakeholder-oriented model linking observed advantages and drawbacks with decision-making criteria shaped by stakeholder attributes. The model helps clubs balance diverse interests and potential outcomes when determining whether and how to implement fan tokens. Through this approach, this study provides clubs and associated stakeholders a tool to assess strategic options, accommodate various perspectives, and inform further innovation in digital sports management.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"5 2","pages":"Article 100137"},"PeriodicalIF":0.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-08DOI: 10.1016/j.digbus.2025.100136
Pierre Mandon
This study introduces a straightforward data-driven framework to identify countries that outperform in artificial intelligence (AI) preparedness relative to their economic complexity, utilizing the IMF's Artificial Intelligence Preparedness Index and a multidimensional Economic Complexity Index derived from trade and research data. Employing weighted least squares, the study estimates expected AIPI scores and classifies countries as global or local overperformers if their observed scores exceed predictions and surpass income-group medians. The analysis identifies 10 high-income global overperformers and 14 local overperformers across middle- and low-income groups, revealing regulation and ethics as universal drivers of overperformance, with digital infrastructure and human capital varying by economic context. Case studies elucidate diverse coordination models—state-led, market-responsive, and distributed innovation—while highlighting transferability constraints due to institutional and historical factors, among others. The replicable methodology provides policymakers and other key actors a robust tool to benchmark AI readiness and design context-specific strategies, addressing the global AI divide. The study opens avenues for future research into refined AI preparedness metrics, alternative identification techniques, and comparative analyses of national innovation systems.
{"title":"Beyond the AI divide: A straightforward approach to identifying global and local overperformers in AI preparedness","authors":"Pierre Mandon","doi":"10.1016/j.digbus.2025.100136","DOIUrl":"10.1016/j.digbus.2025.100136","url":null,"abstract":"<div><div>This study introduces a straightforward data-driven framework to identify countries that outperform in artificial intelligence (AI) preparedness relative to their economic complexity, utilizing the IMF's Artificial Intelligence Preparedness Index and a multidimensional Economic Complexity Index derived from trade and research data. Employing weighted least squares, the study estimates expected AIPI scores and classifies countries as global or local overperformers if their observed scores exceed predictions and surpass income-group medians. The analysis identifies 10 high-income global overperformers and 14 local overperformers across middle- and low-income groups, revealing regulation and ethics as universal drivers of overperformance, with digital infrastructure and human capital varying by economic context. Case studies elucidate diverse coordination models—state-led, market-responsive, and distributed innovation—while highlighting transferability constraints due to institutional and historical factors, among others. The replicable methodology provides policymakers and other key actors a robust tool to benchmark AI readiness and design context-specific strategies, addressing the global AI divide. The study opens avenues for future research into refined AI preparedness metrics, alternative identification techniques, and comparative analyses of national innovation systems.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"5 2","pages":"Article 100136"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-16DOI: 10.1016/j.digbus.2025.100128
Ashkan Emami , Mehdi Seifbarghy , Antragama Ewa Abbas , Wichai Chattinnawat , Nezir Aydin
Supply chain operations have tended to become more complex, thus placing significant pressure on one of the most critical processes: supplier selection and order allocation (SSOA). This process involves a focal company selecting suppliers and allocating orders to obtain required materials. Achieving effective SSOA processes is challenged by (1) reliance on centralized governance and (2) ensuring effective contract management. While so called “smart contracts” could address these challenges, design knowledge about such technology — particularly in the SSOA context — is underexplored in the literature. In this paper we design a smart contract for SSOA in supply chains. We conducted a design science research study and developed three core artifacts: (1) a mathematical description of SSOA; (2) a system model of actor interactions; and (3) SSOA-relevant algorithms. Utilizing the Ethereum blockchain, we demonstrated and tested our smart contracts through scenario analysis. We found that our design is feasible and highly likely to address centralization and effectiveness challenges in SSOA. This paper contributes to the literature by demonstrating how smart contract design focusing on SSOA can further enhance blockchain-driven business models. In addition, we offer prescriptive knowledge on developing smart contracts for SSOA in supply chains.
{"title":"A blockchain-driven business model for supplier selection and order allocation leveraging smart contracts in supply chains","authors":"Ashkan Emami , Mehdi Seifbarghy , Antragama Ewa Abbas , Wichai Chattinnawat , Nezir Aydin","doi":"10.1016/j.digbus.2025.100128","DOIUrl":"10.1016/j.digbus.2025.100128","url":null,"abstract":"<div><div>Supply chain operations have tended to become more complex, thus placing significant pressure on one of the most critical processes: supplier selection and order allocation (SSOA). This process involves a focal company selecting suppliers and allocating orders to obtain required materials. Achieving effective SSOA processes is challenged by (1) reliance on centralized governance and (2) ensuring effective contract management. While so called “smart contracts” could address these challenges, design knowledge about such technology — particularly in the SSOA context — is underexplored in the literature. In this paper we design a smart contract for SSOA in supply chains. We conducted a design science research study and developed three core artifacts: (1) a mathematical description of SSOA; (2) a system model of actor interactions; and (3) SSOA-relevant algorithms. Utilizing the Ethereum blockchain, we demonstrated and tested our smart contracts through scenario analysis. We found that our design is feasible and highly likely to address centralization and effectiveness challenges in SSOA. This paper contributes to the literature by demonstrating how smart contract design focusing on SSOA can further enhance blockchain-driven business models. In addition, we offer prescriptive knowledge on developing smart contracts for SSOA in supply chains.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"5 2","pages":"Article 100128"},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-13DOI: 10.1016/j.digbus.2025.100135
Yvonne Rauner , Harald Stummer
Digital and telemedicine innovations are increasingly central to healthcare transformation, yet their adoption and diffusion remain complex. While the Diffusion of Innovations (DOI) theory explains staged adoption processes, it underrepresents socio-political and institutional factors. The Social Shaping of Technology (SST) approach complements DOI by focusing on the co-construction of technology through cultural, organizational, and political dynamics. This study investigates how DOI and SST can be combined to explain the adoption and diffusion of digital health innovations, with a focus on telemedicine in the German healthcare system. Using the Decision Matrix for Theory Borrowing, DOI and SST were selected as complementary frameworks. A secondary analysis of 12 expert interviews was conducted using SST-based content analysis. Data were coded according to Rogers' five adoption stages and four SST dimensions. Findings were mapped in a DOI–SST matrix and analysed across micro-, meso-, and macro-levels. The analysis shows that innovation trajectories are shaped by interdependent socio-technical factors across all adoption stages. Key barriers include cultural skepticism, organizational inertia, fragmented governance, and economic misalignment. The Socio-Technical Adoption and Diffusion Model for Healthcare (STAD-HC) was developed to represent these dynamics, linking DOI's stage logic with SST's contextual dimensions. The STAD-HC model offers a multi-level framework to analyse how digital health technologies are adopted, contested, and institutionalized. By integrating behavioural processes with structural influences, it provides practical guidance for managing innovation and supports future research on complex digital health technologies such as AI and blockchain.
{"title":"The socio-technical adoption and diffusion of digital health innovations: The development of the STAD-HC model based on telemedicine in Germany","authors":"Yvonne Rauner , Harald Stummer","doi":"10.1016/j.digbus.2025.100135","DOIUrl":"10.1016/j.digbus.2025.100135","url":null,"abstract":"<div><div>Digital and telemedicine innovations are increasingly central to healthcare transformation, yet their adoption and diffusion remain complex. While the <em>Diffusion of Innovations</em> (DOI) theory explains staged adoption processes, it underrepresents socio-political and institutional factors. The <em>Social Shaping of Technology</em> (SST) approach complements DOI by focusing on the co-construction of technology through cultural, organizational, and political dynamics. This study investigates how DOI and SST can be combined to explain the adoption and diffusion of digital health innovations, with a focus on telemedicine in the German healthcare system. Using the Decision Matrix for Theory Borrowing, DOI and SST were selected as complementary frameworks. A secondary analysis of 12 expert interviews was conducted using SST-based content analysis. Data were coded according to Rogers' five adoption stages and four SST dimensions. Findings were mapped in a DOI–SST matrix and analysed across micro-, <em>meso</em>-, and macro-levels. The analysis shows that innovation trajectories are shaped by interdependent socio-technical factors across all adoption stages. Key barriers include cultural skepticism, organizational inertia, fragmented governance, and economic misalignment. The <em>Socio-Technical Adoption and Diffusion Model for Healthcare</em> (STAD-HC) was developed to represent these dynamics, linking DOI's stage logic with SST's contextual dimensions. The STAD-HC model offers a multi-level framework to analyse how digital health technologies are adopted, contested, and institutionalized. By integrating behavioural processes with structural influences, it provides practical guidance for managing innovation and supports future research on complex digital health technologies such as AI and blockchain.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"5 2","pages":"Article 100135"},"PeriodicalIF":0.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144296836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-10DOI: 10.1016/j.digbus.2025.100134
Marion Garaus , Horst Treiblmaier , Udo Wagner , Christian Garaus
Based on the concept of the experience economy, in this article we develop a framework for novel technologies (i.e., artificial intelligence, augmented reality, and virtual reality) that companies can use to shape customer experiences. This conceptual work addresses key concerns about ethics, privacy, cognitive overload, alienation, and sustainability, responding to calls for a critical discussion of these issues. We illustrate how these technologies can be integrated into the experience economy framework and applied in retail settings to enhance customer experiences across the four experiential realms of entertainment, education, escapism, and esthetics. Specifically, we outline how these technologies fit into the experience economy and can create positive experiences across all four realms. Chatbots are used as a case example to illustrate the application of our modified framework. This framework could serve as the theoretical foundation for future academic studies exploring the impact of novel technologies on consumers' retail experiences. Integrating AI, AR, and VR into the experience economy framework offers significant theoretical and practical insights into enhancing consumer retail experiences. These technologies provide new opportunities for creating personalized, immersive, and engaging experiences. By applying our enhanced experience-economy framework, companies can systematically explore the impact of using these technologies to improve consumers' experiences.
{"title":"Innovating the experience economy: How novel technologies transform customer experiences","authors":"Marion Garaus , Horst Treiblmaier , Udo Wagner , Christian Garaus","doi":"10.1016/j.digbus.2025.100134","DOIUrl":"10.1016/j.digbus.2025.100134","url":null,"abstract":"<div><div>Based on the concept of the experience economy, in this article we develop a framework for novel technologies (i.e., artificial intelligence, augmented reality, and virtual reality) that companies can use to shape customer experiences. This conceptual work addresses key concerns about ethics, privacy, cognitive overload, alienation, and sustainability, responding to calls for a critical discussion of these issues. We illustrate how these technologies can be integrated into the experience economy framework and applied in retail settings to enhance customer experiences across the four experiential realms of entertainment, education, escapism, and esthetics. Specifically, we outline how these technologies fit into the experience economy and can create positive experiences across all four realms. Chatbots are used as a case example to illustrate the application of our modified framework. This framework could serve as the theoretical foundation for future academic studies exploring the impact of novel technologies on consumers' retail experiences. Integrating AI, AR, and VR into the experience economy framework offers significant theoretical and practical insights into enhancing consumer retail experiences. These technologies provide new opportunities for creating personalized, immersive, and engaging experiences. By applying our enhanced experience-economy framework, companies can systematically explore the impact of using these technologies to improve consumers' experiences.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"5 2","pages":"Article 100134"},"PeriodicalIF":0.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-07DOI: 10.1016/j.digbus.2025.100133
Mohammad Nurul Alam , Ra'ed Masa'deh , Hammad S. Alotaibi , Md Aminul Islam , Mohammad Fakhrul Islam , Imdadullah Hidayat Ur Rehman , Fariza Hashim
The rapid digital transformation in the telecommunication industry has underscored the importance of webtop applications as productivity enablers. This study examines the impact of key webtop application features—User Interface Usability (UIU), System Integration (SI), Real-Time Data Access (RTDA), and Collaboration Features (CF)—on Employee Productivity (EP) in Bangladesh's telecommunication sector. Grounded in the Task-Technology Fit (TTF) theory, the study investigates the mediating role of Knowledge Sharing (KS) and the moderating role of Technology Training Availability (TTA). Using a quantitative research approach, data were collected through structured surveys from 384 employees in the telecommunication industry and analyzed using Smart-PLS 4.0. The findings reveal that all webtop application features significantly enhance EP, with KS mediating these relationships. TTA positively moderates the effects of RTDA and CF but shows a negative moderation for UIU and no significant impact for SI. The study's novelty lies in its comprehensive exploration of webtop applications within a developing economy, addressing both the technological and human dimensions of productivity. Recommendations include fostering a culture of knowledge sharing, optimizing training programs to match technological complexity, and investing in feature-rich, integrated systems to enhance organizational performance. This research offers actionable insights for managers, policymakers, and academics, providing a robust framework for leveraging digital tools to enhance productivity in modern workplaces. The study contributes to the theoretical discourse by extending the TTF framework and provides a practical roadmap for technology adoption and workforce development in rapidly digitalizing industries.
{"title":"Webtop applications as productivity enablers: A study on employee performance in modern workplaces","authors":"Mohammad Nurul Alam , Ra'ed Masa'deh , Hammad S. Alotaibi , Md Aminul Islam , Mohammad Fakhrul Islam , Imdadullah Hidayat Ur Rehman , Fariza Hashim","doi":"10.1016/j.digbus.2025.100133","DOIUrl":"10.1016/j.digbus.2025.100133","url":null,"abstract":"<div><div>The rapid digital transformation in the telecommunication industry has underscored the importance of webtop applications as productivity enablers. This study examines the impact of key webtop application features—User Interface Usability (UIU), System Integration (SI), Real-Time Data Access (RTDA), and Collaboration Features (CF)—on Employee Productivity (EP) in Bangladesh's telecommunication sector. Grounded in the Task-Technology Fit (TTF) theory, the study investigates the mediating role of Knowledge Sharing (KS) and the moderating role of Technology Training Availability (TTA). Using a quantitative research approach, data were collected through structured surveys from 384 employees in the telecommunication industry and analyzed using Smart-PLS 4.0. The findings reveal that all webtop application features significantly enhance EP, with KS mediating these relationships. TTA positively moderates the effects of RTDA and CF but shows a negative moderation for UIU and no significant impact for SI. The study's novelty lies in its comprehensive exploration of webtop applications within a developing economy, addressing both the technological and human dimensions of productivity. Recommendations include fostering a culture of knowledge sharing, optimizing training programs to match technological complexity, and investing in feature-rich, integrated systems to enhance organizational performance. This research offers actionable insights for managers, policymakers, and academics, providing a robust framework for leveraging digital tools to enhance productivity in modern workplaces. The study contributes to the theoretical discourse by extending the TTF framework and provides a practical roadmap for technology adoption and workforce development in rapidly digitalizing industries.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"5 2","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号