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Firms’ use of predictive artificial intelligence for economic value creation and appropriation International Journal of Information Management (IF 20.1) Pub Date : 2024-09-03 Darek M. Haftor, Ricardo Costa-Climent, Samuel Ribeiro-Navarrete
Firms are increasingly investing in the use of artificial intelligence (AI). Some succeed in creating and appropriating substantial economic value, but many fail. There is no consensus as to how a firm should use AI to create and appropriate economic value. This paper provides an answer to that question. A novel research model is advanced based on the notion of data network effects being realized within
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Can ChatGPT replace humans in crisis communication? The effects of AI-mediated crisis communication on stakeholder satisfaction and responsibility attribution International Journal of Information Management (IF 20.1) Pub Date : 2024-08-30 Yi Xiao, Shubin Yu
Imagine a world where chatbots are the first responders to crises, efficiently addressing concerns and providing crucial information. ChatGPT has demonstrated the capability of GenAI (Generative Artificial Intelligence)-powered chatbots when deployed to answer crisis-related questions in a timely and cost-efficient manner, thus replacing humans in crisis communication. However, public reactions to
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Design characteristics and service experience with e-government services: A public value perspective International Journal of Information Management (IF 20.1) Pub Date : 2024-08-22 Frank K.Y. Chan, James Y.L. Thong, Susan A. Brown, Viswanath Venkatesh
We propose a model that explains how e-government service design characteristics influence citizens’ service experience. Drawing on the public value perspective, we define four categories of e-government impacts and identify their corresponding design characteristics: (1) capability—accuracy and completeness; (2) interactions—accessibility and self-service capability; (3) orientation—user support and
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Shaping extra-role security behaviors through employee-agent relations: A dual-channel motivational perspective International Journal of Information Management (IF 20.1) Pub Date : 2024-08-15 Joshua M. Davis, Deepti Agrawal, Obi Ogbanufe
Organizational information security performance increasingly depends on employees’ extra-role security behaviors (ERBs), which go beyond the scope of formal organizational prescription and control. At the same time, however, the literature suggests ERBs are largely unresponsive to traditional outline-and-control approaches to behavioral security. Instead, this stream finds that ERBs are primarily cultivated
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Conceptualizing generative AI as style engines: Application archetypes and implications International Journal of Information Management (IF 20.1) Pub Date : 2024-07-17 Kai Riemer, Sandra Peter
The rise of generative AI has brought with it a surprising paradox: systems that excel at tasks once thought to be uniquely human, like fluent conversation or persuasive writing, while simultaneously failing to meet traditional expectations of computing, in terms of reliability, accuracy, and veracity (e.g., given the various issues with so-called ‘hallucinations’). We argue that, when generative AI
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Understanding the individual labor supply and wages on digital labor platforms: A microworker perspective International Journal of Information Management (IF 20.1) Pub Date : 2024-07-15 Ling Jiang, Xuefei (Nancy) Deng, Christian Wagner
The emergence of crowdsourcing as a new form of work has introduced a paradox among workers who receive small payments for piecemeal microwork yet continue to participate in microwork digital labor platforms (DLPs). To better understand what sustains microworkers’ participation, this study draws upon individual labor supply theory to quantitatively examine the impacts of microworkers’ motivations,
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ChatGPT usage in everyday life: A motivation-theoretic mixed-methods study International Journal of Information Management (IF 20.1) Pub Date : 2024-06-27 Vinzenz Wolf, Christian Maier
GenAI-driven technologies such as ChatGPT influence activities in all areas of life and are used in private and work contexts. This study uses an individual-centered perspective to explain what motivates users to use ChatGPT continuously. We propose that four motivational factors and two technology characteristics together lead to continuance intention among individual ChatGPT users. Therefore, we
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Fostering well-being: Exploring the influence of user-AI assistant relationship types on subjective well-being International Journal of Information Management (IF 20.1) Pub Date : 2024-06-25 Chu-Bing Zhang, Tian-Ge Li, Yi-Na Li, Ying Chang, Zhuo-Ping Zhang
As one of the essential components of daily life, artificial intelligence (AI) assistants gradually form a relationship with users as either servant or partner. This study employed a mixed-methods approach integrating both quantitative and qualitative methodologies to examine the influence of various user-AI assistant relationship types on subjective well-being. The results indicate that partnerships
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Working smarter: Using technology-enabled processes to leverage virtual group member intelligence International Journal of Information Management (IF 20.1) Pub Date : 2024-06-19 Jordan B. Barlow, Alan R. Dennis
Organizations use information and communication technologies (ICT) to enable remote work, yet the performance of groups using ICT varies widely. Individual intelligence is a strong predictor of individual job performance, yet research shows that when groups use ICT to support decision making tasks, group performance is not influenced by the combined intelligence of group members. Thus, group performance
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Large language models present new questions for decision support International Journal of Information Management (IF 20.1) Pub Date : 2024-06-04 Abram Handler, Kai R. Larsen, Richard Hackathorn
Large language models (LLMs) have proven capable of assisting with many aspects of organizational decision making, such as helping to collect information from databases and helping to brainstorm possible courses of action ahead of making a choice. We propose that broad adoption of these technologies introduces new questions in the study of decision support systems, which assist people with complex
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Information Technology Acceptance: Construct development and empirical validation International Journal of Information Management (IF 20.1) Pub Date : 2024-06-04 Andrew Schwarz, Wynne W. Chin
Traditional adoption models explain the intention to use information technology (IT). These models draw on theories that relate perceptions of IT to its actual use. To advance the IT adoption literature, we direct attention away from individual perceptions of IT towards understanding the drivers of individuals' decisions as they use IT. This approach may offer richer explanations of individual IT-enabled
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Being excluded in the metaverse: Impact of social ostracism on users’ psychological responses and behaviors International Journal of Information Management (IF 20.1) Pub Date : 2024-05-30 Taeyeon Kim, Hyungrok Jin, Jaehee Hwang, Nayeon Kim, Jungjae Im, Yonghoon Jeon, Yongjun Sung
In this study, we examine how individuals react to an ostracism experience in the metaverse. Based on the temporal need-threat model and virtual identity discrepancy model, two experimental studies and a critical incident study were conducted to investigate how metaverse ostracism affects individuals’ need for belonging, mood, avatar–self discrepancy, and behavioral intentions, as well as how avatar
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Disintermediation of consumer services through blockchain? The role of intermediary brands, value-added services, and privacy concerns International Journal of Information Management (IF 20.1) Pub Date : 2024-05-27 Andreas Strebinger, Horst Treiblmaier
This paper explores the dynamics between value-added services, intermediary brands, and consumer privacy concerns in shaping attitudes toward blockchain-enabled consumer services. Grounded in the Antecedents-Privacy Concerns-Outcomes (APCO) framework, we develop a theoretical model that we test in three experimental studies with a total of 1613 participants, utilizing verbal scenarios featuring blockchain
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Assessing omitted variables bias in intention-behavior linkages: Mitigation strategies and research implications International Journal of Information Management (IF 20.1) Pub Date : 2024-05-21 Anand Jeyaraj
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Data ecosystem business models: Value propositions and value capture with Artificial Intelligence of Things International Journal of Information Management (IF 20.1) Pub Date : 2024-05-17 Reza Toorajipour, Pejvak Oghazi, Maximilian Palmié
The emergence of data as a critical asset and the prevalence of technologies such as the Artificial Intelligence of Things (AIoT) on the one hand, and the importance of collaborations for value creation on the other hand have given rise to a new breed of ecosystems known as data ecosystems. While data ecosystems provide new business opportunities, proposing and capturing value in those ecosystems is
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Role of entrepreneurial orientation, information management, and knowledge management in improving firm performance International Journal of Information Management (IF 20.1) Pub Date : 2024-05-17 Rafał Kusa, Marcin Suder, Joanna Duda
Entrepreneurship is one of the most common strategies that are followed by companies. In parallel, each company needs to effectively manage information and knowledge to successfully implement its strategy. Thus, this study focuses on the points where knowledge, information, and entrepreneurial management meet, with special attention paid to the relationship between information management (IM) and knowledge
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A framework for enhancing the replicability of behavioral MIS research using prediction oriented techniques International Journal of Information Management (IF 20.1) Pub Date : 2024-05-15 Pratyush Nidhi Sharma, Marko Sarstedt, Christian M. Ringle, Jun-Hwa Cheah, Anne Herfurth, Joseph F. Hair
The ongoing scientific discourse surrounding the replication crisis in behavioral research, including management information systems (MIS) research, underscores the importance of innovative and rigorous approaches to theory development and validation. This article proposes the EP-mixed framework, which addresses the necessity of an ontological distinction between explanation and prediction in MIS theories
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Towards AI-based thumbnail design for fostering consumption on digital media platforms International Journal of Information Management (IF 20.1) Pub Date : 2024-05-14 Claudia Loebbecke, Astrid Obeng-Antwi, Irina Boboschko, Stefan Cremer
On digital platforms, thumbnails are omnipresent promotion tools for hedonic media goods. However, thumbnail designs still constitute a black box regarding their effects on consumption. To address this research gap, we apply artificial intelligence (AI) based imagery analysis to quantify and analyze almost 500,000 thumbnails drawn from two international digital media platforms – an advertisement-based
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Information management in social media to promote engagement and physical activity behavior International Journal of Information Management (IF 20.1) Pub Date : 2024-05-11 María Huertas González-Serrano, Manuel Alonso-Dos-Santos, Josep Crespo-Hervás, Ferran Calabuig
Social media can be an effective tool to foster values and lifestyles such as physical activity. However, it is still largely unknown what type of social media information helps to promote physical activity practices. This research aims to (1) identify the combination of variables that explain social media engagement in physical activity (SME-PA) and its relationship with physical activity behavior
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The Drill model: A renewed perspective adapted to the volatile, uncertain, complex and agile (VUCA) world to improve situation analysis and support decision-making International Journal of Information Management (IF 20.1) Pub Date : 2024-04-23 Christine Dugoin-Clément
Traditional models that are dedicated to environment analysis and anticipation help deciders reinforce decision-making in both the academic and professional worlds. Nevertheless, as useful as these models are, it seems they are not effective, as shown by the lack of anticipation of the Russian invasion of Ukraine or of the different crisis observed in the African continent. Consequently, confrontation
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Moving beyond ‘proof points’: Factors underpinning AI-enabled business model transformation International Journal of Information Management (IF 20.1) Pub Date : 2024-04-23 Stuart Black, Daniel Samson, Alon Ellis
Business model renewal is a key consideration for organizations, and AI (artificial intelligence) has been identified as a significant potential enabler for that renewal. However, while there are examples of emerging organizations using AI as a key basis of competitive advantage as well as examples of established organizations trialing AI technologies, there are relatively few examples of established
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Outpacing choices: Examining dynamic consumer preferences across multi-generational information-intensive digital products International Journal of Information Management (IF 20.1) Pub Date : 2024-04-19 Neha Chaudhuri, Gaurav Gupta, Sujeet Kumar Sharma
The frequent launch of new product upgrades and the explosion of online user reviews have profoundly impacted consumer purchase behavior in various product categories, especially digital ones. This research examines how the rapid innovation and frequent updates in digital product categories (such as fitness wearables) influence consumer demand and sales of new product generations varying in feature
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Willingness to pay for freemium services: Addressing the differences between monetization strategies International Journal of Information Management (IF 20.1) Pub Date : 2024-04-18 Olli Tyrväinen, Heikki Karjaluoto
Freemium business models are a potential monetization strategy wherein companies can persuade consumers to buy premium services by offering a free version with limited functionalities and then benefitting by selling a premium version of the online service. Our empirical investigation followed a mixed-method approach and used meta-analytical data from 55 studies and 15 qualitative interviews. Based
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Emerging leaders or persistent gaps? Generative AI research may foster women in STEM International Journal of Information Management (IF 20.1) Pub Date : 2024-04-17 Prema Nedungadi, Maneesha Ramesh, Venu Govindaraju, Bhavani Rao, Paola Berbeglia, Raghu Raman
The primary aim of this study is to explore the gender dynamics within Generative AI (GAI) research through an analysis of 5092 publications post the inception of ChatGPT in November 2022. This investigation seeks to comprehend how gender distribution varies across different research areas and geographical locations in GAI, assess thematic differences in contributions by male and female authors, identify
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AI-powered marketing: What, where, and how? International Journal of Information Management (IF 20.1) Pub Date : 2024-04-09 V. Kumar, Abdul R. Ashraf, Waqar Nadeem
Artificial intelligence (AI) has become a disruptive force that has revolutionized industries and changed business practices. The integration of AI has brought numerous benefits to various functional areas within organizations, with marketing experiencing a significant positive impact. AI technologies have empowered marketers with advanced tools and insights, fostering unparalleled efficiency, personalization
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Illusion or reality? Building a metaverse community focused on value creation in the agricultural sector International Journal of Information Management (IF 20.1) Pub Date : 2024-04-04 M. Ángeles López-Cabarcos, Juan Piñeiro-Chousa
Obsolete models, lack of professionalisation and an environment characterised by continuous changes have turned out to be a dangerous mix that has ended up stopping or slowing down the development of the agricultural sector. It is now necessary to design and carry out initiatives that counteract this trend, especially initiatives based on innovation and the use of technology. This article aims to analyse
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Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach International Journal of Information Management (IF 20.1) Pub Date : 2024-04-03 Einav Peretz-Andersson, Sabrina Tabares, Patrick Mikalef, Vinit Parida
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Revealing the role of explainable AI: How does updating AI applications generate agility-driven performance? International Journal of Information Management (IF 20.1) Pub Date : 2024-03-26 Masialeti Masialeti, Amir Talaei-Khoei, Alan T. Yang
This study examines the role of explainable AI in the relationship between updating a portfolio of AI applications and performance. Updating a portfolio of AI applications relates to a firm's dynamic capability to respond to the changes of the market. We propose a set of four hypotheses in which the impact of updating the portfolio of AI applications on firm performance is mediated by business process
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The key role of innovation and organizational resilience in improving business performance: A mixed-methods approach International Journal of Information Management (IF 20.1) Pub Date : 2024-03-23 Aurora Garrido-Moreno, Rodrigo Martín-Rojas, Víctor J. García-Morales
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Social media trust: Fighting misinformation in the time of crisis International Journal of Information Management (IF 20.1) Pub Date : 2024-03-20 Maryam Shahbazi, Deborah Bunker
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From digital touchpoints to digital journeys: How shopping mindsets influence appraisal of omnichannel journeys International Journal of Information Management (IF 20.1) Pub Date : 2024-03-20 Aisha Muthaffar, Sonia Vilches-Montero, Renzo Bravo-Olavarria
This research examines evolving shopping behaviours as emerging technologies and digital touchpoints increasingly draw shoppers to navigate digital omnichannel environments. While consumers transition from simple interactions with touchpoints to embarking on complex digital journeys, there remains a scarcity of relevant theorising to examine the holistic omnichannel experience. Therefore, our approach
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Is this AI sexist? The effects of a biased AI’s anthropomorphic appearance and explainability on users’ bias perceptions and trust International Journal of Information Management (IF 20.1) Pub Date : 2024-03-16 Tsung-Yu Hou, Yu-Chia Tseng, Chien Wen (Tina) Yuan
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How could quantum computing shape information systems research – An editorial perspective and future research directions International Journal of Information Management (IF 20.1) Pub Date : 2024-03-14 Arpan Kumar Kar, Wu He, Fay Cobb Payton, Varun Grover, Adil S. Al-Busaidi, Yogesh K. Dwivedi
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Corrigendum to “The potential of digital nudging to bridge the gap between environmental attitude and behavior in the usage of smart home applications” [International Journal of Information Management 72 (2023) 102665] International Journal of Information Management (IF 20.1) Pub Date : 2024-03-08 Stefan Stieglitz, Milad Mirbabaie, Annika Deubel, Lea-Marie Braun, Tobias Kissmer
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Shift of ambidexterity modes: An empirical investigation of the impact of artificial intelligence in customer service International Journal of Information Management (IF 20.1) Pub Date : 2024-03-05 Lan Cao, Sumantra Sarkar, Balasubramaniam Ramesh, Kannan Mohan, Eun Hee Park
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Adopting emerging information technology: A new affordances process framework International Journal of Information Management (IF 20.1) Pub Date : 2024-02-28 Luisa Mariele Strauss, Amarolinda Zanela Klein, Eusebio Scornavacca
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Humans as teammates: The signal of human–AI teaming enhances consumer acceptance of chatbots International Journal of Information Management (IF 20.1) Pub Date : 2024-02-17 You Li, Yi Li, Qian Chen, Yaping Chang
Human–artificial intelligence (AI) teaming is a service system in which AI agents work interdependently toward a common goal alongside human agents. Although many consumer services rely on chatbots working with humans, little is known about the influence of human–AI teaming on consumers’ perceptions and use of chatbots in online service encounters. Using signaling theory, the present research examines
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The impact of artificial intelligence adoption for business-to-business marketing on shareholder reaction: A social actor perspective International Journal of Information Management (IF 20.1) Pub Date : 2024-02-16 Yuanzhu Zhan, Yangchun Xiong, Runyue Han, Hugo K.S. Lam, Constantin Blome
While AI applications are becoming ever more important in B2B marketing operations, there is a lack of research to examine whether and how shareholders react to firms' AI-enabled B2B marketing initiatives. Accordingly, the purpose of this study is to explore this process by theoretically building on the social actor perspective of the firm and investigating the impact of AI-enabled B2B marketing initiatives
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The effect of the anthropomorphic design of chatbots on customer switching intention when the chatbot service fails: An expectation perspective International Journal of Information Management (IF 20.1) Pub Date : 2024-02-15 Zhenzhen Lu, Qingfei Min, Lintong Jiang, Qi Chen
An increasing number of enterprises are deploying chatbots to enhance service efficiency and reduce customer service costs. However, many customers prefer to switch to a human agent, especially when a chatbot service fails. From an expectation perspective, this study explores whether and how chatbots’ anthropomorphic design affects customers’ intention to switch from chatbots to human agents, as well
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The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda International Journal of Information Management (IF 20.1) Pub Date : 2024-02-08 Joseph Amankwah-Amoah, Samar Abdalla, Emmanuel Mogaji, Amany Elbanna, Yogesh K. Dwivedi
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Comparing the effectiveness of recommendation agents across devices International Journal of Information Management (IF 20.1) Pub Date : 2024-02-08 Prashanth Ravula, Amit Bhatnagar, Subhash Jha
This research empirically studies whether recommendation agents are as effective on newer, mobile devices (i.e., tablets, smartphones) as they are on older, stationary ones (i.e., desktop computers). We analyze clickstream data from Airbnb with a novel econometric model based on beta and logit regressions and estimated within the Bayesian framework. The model controls for self-selectivity bias. Our
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Dress to impress and serve well to prevail – Modelling regressive discontinuance for social networking sites International Journal of Information Management (IF 20.1) Pub Date : 2024-02-08 Mohina Gandhi, Arpan Kumar Kar
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“Real impact”: Challenges and opportunities in bridging the gap between research and practice – Making a difference in industry, policy, and society International Journal of Information Management (IF 20.1) Pub Date : 2024-02-04 Yogesh K. Dwivedi, Anand Jeyaraj, Laurie Hughes, Gareth H. Davies, Manju Ahuja, Mousa Ahmed Albashrawi, Adil S. Al-Busaidi, Salah Al-Sharhan, Khalid Ibrahim Al-Sulaiti, Levent Altinay, Shem Amalaya, Sunil Archak, María Teresa Ballestar, Shonil A. Bhagwat, Anandhi Bharadwaj, Amit Bhushan, Indranil Bose, Pawan Budhwar, Deborah Bunker, Alexandru Capatina, Lemuria Carter, Ioanna Constantiou, Crispin Coombs
Achieving impact from academic research is a challenging, complex, multifaceted, and interconnected topic with a number of competing priorities and key performance indicators driving the extent and reach of meaningful and measurable benefits from research. Academic researchers are incentivised to publish their research in high-ranking journals and academic conferences but also to demonstrate the impact
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Challenges in the adoption of sustainability information systems: A study on green IS in organizations International Journal of Information Management (IF 20.1) Pub Date : 2024-01-25 Jeanine Kirchner-Krath, Benedikt Morschheuser, Nevena Sicevic, Nannan Xi, Harald F.O. von Korflesch, Juho Hamari
Economic, social and ecological sustainability presents one of the greatest challenges of our society. As a result, there is growing pressure on a variety of organizations to implement sustainability programs, such as inclusion training related to social sustainability, cost management programs related to economic sustainability, and perhaps most importantly, green (information) systems related to
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Artificial intelligence vs. autonomous decision-making in streaming platforms: A mixed-method approach International Journal of Information Management (IF 20.1) Pub Date : 2024-01-23 Ana Rita Gonçalves, Diego Costa Pinto, Saleh Shuqair, Marlon Dalmoro, Anna S. Mattila
Although the empowerment of technology is of great value to society, little is known about its downstream effects on consumers' decisions. This research draws on the expectation–confirmation theory and autonomy in artificial intelligence (AI) and investigates how AI (vs. autonomous choice) has detrimental effects on consumer outcomes, creating an autonomy-technology tension — i.e., the conflict arising
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Blockchain technology and privacy regulation: Reviewing frictions and synthesizing opportunities International Journal of Information Management (IF 20.1) Pub Date : 2024-01-16 Oluwafemi Akanfe, Diane Lawong, H. Raghav Rao
As the application of Blockchain Technology (BCT) grows across several industries, its inherent decentralized and immutable nature raises some conflicting issues concerning privacy regulation. The enforcement of privacy regulations like the General Data Protection Regulation (GDPR) exemplifies these challenges, as certain stringent privacy requirements within GDPR may conflict with BCT's features.
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Enhancing recommendation acceptance: Resolving the personalization–privacy paradox in recommender systems: A privacy calculus perspective International Journal of Information Management (IF 20.1) Pub Date : 2024-01-16 Yedi Wang, Jiaji Zhu, Renhuai Liu, Yushi Jiang
The concept of recommendation acceptance intention (RAI) refers to the willingness of an individual to adopt and use recommender systems. However, contemporary recommender systems, relying solely on accuracy as an evaluation metric have demonstrated subpar performance. The evolving landscape requires the integration of multiple objectives, including relevance, diversity, novelty, and coverage. This
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Guest editorial: More supportive or more distractive? Investigating the negative effects of technology at the customer interface International Journal of Information Management (IF 20.1) Pub Date : 2024-01-12 Eleonora Pantano, Jamie Carlson, Konstantina Spanaki, George Christodoulides
The continuous development of technology leads to stimuli-dense consumption environments for consumers. Although the literature primarily highlighted the advantages of adopting technologies to support consumers’ decision-making process, these systems may also require too much attention and excessive effort to be considered always rewarding. Accordingly, this special issue addresses the interplay between
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Blockchain and agency theory in supply chain management: A question of trust International Journal of Information Management (IF 20.1) Pub Date : 2024-01-11 Maximiliano JEANNERET MEDINA, Cédric Baudet, Jean-Fabrice Lebraty
This paper aims to explore how does the introduction of blockchain technologies impact trust in existing supply chain relationships. To do so, we conducted a multiple case study through the lens of agency theory. Three Swiss companies which are carrying out blockchain projects for their supply chain have been analyzed in semi-structured interviews and document analysis. Two significant findings of
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Augmenting research methods with foundation models and generative AI International Journal of Information Management (IF 20.1) Pub Date : 2024-01-12 Sippo Rossi, Matti Rossi, Raghava Rao Mukkamala, Jason Bennett Thatcher, Yogesh K. Dwivedi
Deep learning (DL) research has made remarkable progress in recent years. Natural language processing and image generation have made the leap from computer science journals to open-source communities and commercial services. Pre-trained DL models built on massive datasets, also known as foundation models, such as the GPT-3 and BERT, have led the way in democratizing artificial intelligence (AI). However
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Technology distraction in Generation Z: The effects on consumer responses, sensory overload, and discomfort International Journal of Information Management (IF 20.1) Pub Date : 2024-01-09 Constantinos Vasilios Priporas, Shahzeb Hussain, Suyash Khaneja, Hafizur Rahman
Drawing on social cognitive theory, this study examines the effects of technology distraction on consumers’ responses, sensory overload, and discomfort. Its three objectives are: (i) to explore the effects of technology distraction on three types of consumer responses, i.e. cognitive, affective, and behavioural responses; (ii) to explore the effects of technology distraction on sensory overload; and
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Towards organisation 4.0. An empirical study International Journal of Information Management (IF 20.1) Pub Date : 2024-01-03 Reyes Gonzalez, Jose Gasco, Juan Llopis
The Digital Transformation of firms is in an incipient stage despite being essential for competitiveness. Hence, the objective of the present study is to analyse which factors are important in the realisation of an Organisation 4.0. To this end we revise the literature to analyse the concept of Industry 4.0, identifying which technologies are necessary for this fourth industrial revolution, and the
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8–10% of algorithmic recommendations are ‘bad’, but… an exploratory risk-utility meta-analysis and its regulatory implications International Journal of Information Management (IF 20.1) Pub Date : 2023-12-29 Martin Hilbert, Arti Thakur, Pablo M. Flores, Xiaoya Zhang, Jee Young Bhan, Patrick Bernhard, Feng Ji
We conducted a quantitatively coarse-grained, but wide-ranging evaluation of the frequency recommender algorithms provide ‘good’ and ‘bad’ recommendations, with a focus on the latter. We found 151 algorithmic audits from 33 studies that report fitting risk-utility statistics from YouTube, Google Search, Twitter, Facebook, TikTok, Amazon, and others. Our findings indicate that roughly 8–10% of algorithmic
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The precursors of AI adoption in business: Towards an efficient decision-making and functional performance International Journal of Information Management (IF 20.1) Pub Date : 2023-12-27 Abdullah M. Baabdullah
Artificial intelligence (AI) is a highly effective solution for enhancing decision-making efficiency and optimising the functional performance of organisations. However, there have been limited attempts to assess the consequences of implementing AI systems on the quality and efficiency of decision-making. This study proposes and empirically examines an extended model covering all aspects that would
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Understanding the impact of augmented reality product presentation on diagnosticity, cognitive load, and product sales International Journal of Information Management (IF 20.1) Pub Date : 2023-12-22 Pratik Tarafdar, Alvin Chung Man Leung, Wei Thoo Yue, Indranil Bose
Augmented reality (AR) enhances consumers’ sensory responses to online product presentations, providing a more immersive experience. In online marketplaces, the utilization of various sensory modalities for product representation proves valuable for consumers’ evaluations. To investigate the impact of AR interfaces on human cognition, we developed a mobile AR app and conducted an experiment. Subjects
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Digital transformation leadership competencies: A contingency approach International Journal of Information Management (IF 20.1) Pub Date : 2023-12-14 Sune Dueholm Müller, Henrike Konzag, Jeppe Agger Nielsen, Hafdís Bergsdóttir Sandholt
Practitioners and researchers are increasingly engaged and interested in digital transformation leadership. However, the existing literature is fragmented and we lack knowledge of the competencies required by business leaders to facilitate digital transformation. In response, we rely on a literature study and draw inspiration from the Competing Values Framework to identify digital transformation leadership
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Social media overload and proactive–reactive innovation behaviour: A TTSC framework perspective International Journal of Information Management (IF 20.1) Pub Date : 2023-12-06 Suying Gao, Xue Zhao
Based on the transactional theory of stress and coping, a theoretical model of social media overload and employees’ proactive–reactive innovation behaviour is constructed, in which emotional exhaustion and knowledge hiding serve as mediating variables, and the intrinsic mechanism of action among the variables is explained based on the conservation of resources theory. Study 1 tested the research model
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Time matters: Investigating the asymmetric reflection of online reviews on customer satisfaction and recommendation across temporal lenses International Journal of Information Management (IF 20.1) Pub Date : 2023-12-06 Xun Xu, Yiru Wang, Qingyun Zhu, Yiming Zhuang
Online platforms’ growth further facilitates the increasing popularity and business value of online reviews. This study investigates the key elements of online reviews and their relationships to customer satisfaction and online recommendation. Our findings from Skytrax suggest that the review textual comments of each product attribute have a positive direct effect on customer rating of the corresponding
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Global techno-politics: A review of the current status and opportunities for future research International Journal of Information Management (IF 20.1) Pub Date : 2023-12-05 Jie Yan, Dorothy E. Leidner, Uchenna Peters
This study presents an overview of the evolving relationship between technology and global politics, focusing on global techno-politics (GTP). Technology was seen as neutral and accessible, with market forces and multilateral states enforcing global trading norms. However, recent years have witnessed a shift as technological powers turn interdependencies into vulnerabilities. The intense technological