{"title":"Moving beyond ‘proof points’: Factors underpinning AI-enabled business model transformation","authors":"Stuart Black , Daniel Samson , Alon Ellis","doi":"10.1016/j.ijinfomgt.2024.102796","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102796","url":null,"abstract":"<div><p>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 organizations fundamentally transforming their business models through the use of AI. Through case studies underpinned by interviews with named executives of ten organizations and complemented by an applicability check involving 14 executives, advisors and practice-oriented academics, this paper presents an empirically supported set of factors linked to successful AI-enabled business model transformation as well as a model of interactions between these factors. Using a horizontal contrasting approach to articulate the difference between empirical findings and a literature based model, this paper moves from the language of potentially passive top management support towards the concept of proactive leadership and introduces tech-sensitive innovation culture, AI-sensitive risk tolerance and strategic process discipline into the dynamic capability lexicon. The insights of this paper can be used by managers to assess their readiness to move beyond traditional ‘proof-points’ and successfully undertake and accelerate AI-enabled business model transformation.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"77 ","pages":"Article 102796"},"PeriodicalIF":21.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000446/pdfft?md5=45749d7233ad864be52b8cd2e09c73d6&pid=1-s2.0-S0268401224000446-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140638270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Drill model: A renewed perspective adapted to the volatile, uncertain, complex and agile (VUCA) world to improve situation analysis and support decision-making","authors":"Christine Dugoin-Clément","doi":"10.1016/j.ijinfomgt.2024.102786","DOIUrl":"10.1016/j.ijinfomgt.2024.102786","url":null,"abstract":"<div><p>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 with reality made them incapable of predicting evolution, making those models unable to answer the new challenge induced by technology development, new phenomena and the developments that made the world increasingly volatile, uncertain, complex, and agile. This paper offers suggestions for a different approach that helps to embrace this complexity by proposing an inclusive model mixing both qualitative and quantitative analysis.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"78 ","pages":"Article 102786"},"PeriodicalIF":21.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140778875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge and culture influences on quality of care: A mixed methods approach","authors":"Tiago Gonçalves , Carla Curado , Mírian Oliveira","doi":"10.1016/j.ijinfomgt.2024.102788","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102788","url":null,"abstract":"<div><p>Concerns about the quality of care provided to patients have been recently revisited in the healthcare management literature, driven by the aftermath of the COVID-19 pandemic. Quality of care is a complex measure of healthcare performance that relies on optimizing healthcare knowledge. Knowledge management initiatives and practices in healthcare remain difficult to implement and develop – presenting a managerial challenge that must coexist in a competitive environment. This paper aims to study the contribution of knowledge-management systems, knowledge-sharing behavior, and competitive culture to the quality of care provided to patients. We use a mixed-methods approach to explore a research model in a sequence of two studies. Research data comes from a sample of 323 healthcare professionals in Portuguese healthcare organizations. Quantitative results show that both knowledge-management systems and a competitive culture positively influence the quality of care. Results also show a positive influence of knowledge-sharing behavior on the quality of care. Complementarily, qualitative results reveal two configurations leading to quality of care. The first highlights the role of knowledge-management systems alone as sufficient to provide quality of care. A second configuration involves cumulative contributions of competitive culture and individual knowledge sharing, leading to quality of care. Theoretical and practical implications are discussed, and a model for quality of care creation is offered. Limitations are acknowledged and future work directions are presented.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"77 ","pages":"Article 102788"},"PeriodicalIF":21.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140622549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Outpacing choices: Examining dynamic consumer preferences across multi-generational information-intensive digital products","authors":"Neha Chaudhuri , Gaurav Gupta , Sujeet Kumar Sharma","doi":"10.1016/j.ijinfomgt.2024.102784","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102784","url":null,"abstract":"<div><p>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 intensity and update frequency. Through a mixed-method approach, this study reveals that consumer feedback and expert feedback polarities differentially impact sales, and these effects are amplified for more complex, rapidly updated products. The results provide empirical validation for key premises argued in the literature that user-generated content helps overcome information asymmetry, but also introduce contingencies based on product characteristics. This study contributes unique evidence substantiating the strategic value of online opinions and interest metrics in an omnichannel context. The findings offer actionable guidance for marketers to leverage consumer insights and tailor digital product positioning amidst information overload.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"77 ","pages":"Article 102784"},"PeriodicalIF":21.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140618734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Willingness to pay for freemium services: Addressing the differences between monetization strategies","authors":"Olli Tyrväinen , Heikki Karjaluoto","doi":"10.1016/j.ijinfomgt.2024.102787","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102787","url":null,"abstract":"<div><p>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 on these studies and interviews, we identify key factors influencing consumers’ willingness to pay for freemium services. Additionally, we test moderating effects across different monetization strategies (limited features vs. selling virtual items). The results reveal that the dimensions of perceived value (i.e., functional, hedonic, social, and price value), based on a free version of the service, serve as predictors for willingness to pay for freemium services. Trust in the service provider mediates the effects of dimensions of perceived value on willingness to pay for freemium services. The results also show that these relationships are influenced by the monetization strategy. This study contributes to existing literature by consolidating empirical evidence and offering valuable insights regarding willingness to pay for freemium services. The findings have implications for managers, helping them tailor their monetization strategies based on the type of freemium service.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"77 ","pages":"Article 102787"},"PeriodicalIF":21.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000355/pdfft?md5=0d2197f1cf469bcf1ad5aa0fad665c56&pid=1-s2.0-S0268401224000355-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140618842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emerging leaders or persistent gaps? Generative AI research may foster women in STEM","authors":"Prema Nedungadi , Maneesha Ramesh , Venu Govindaraju , Bhavani Rao , Paola Berbeglia , Raghu Raman","doi":"10.1016/j.ijinfomgt.2024.102785","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102785","url":null,"abstract":"<div><p>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 areas of significant female activity, evaluate the impact of policies on gender dynamics, devise strategies to enhance gender diversity and explore how GAI research can propel women's advancement in STEM. The study reveals a dual narrative: a promising rise in female leadership within highly cited GAI research papers, juxtaposed with ongoing gender disparities in single-authored works and primary authorship positions. These findings underscore the unique position of GAI as distinct from traditional STEM fields, owing to its integration of technology with societal demands and its potential to foster increased female participation in STEM through its interdisciplinary approach and societal impact. By aligning with Sustainable Development Goal 5, this research champions inclusive development practices and policy reforms aimed at bolstering gender diversity and inclusivity within GAI research. The insights derived from addressing the research questions show how GAI can make STEM fields more inclusive, diverse, and attuned to societal needs, thereby maximizing the value of female researchers' contributions.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"77 ","pages":"Article 102785"},"PeriodicalIF":21.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140605181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI-powered marketing: What, where, and how?","authors":"V. Kumar , Abdul R. Ashraf , Waqar Nadeem","doi":"10.1016/j.ijinfomgt.2024.102783","DOIUrl":"10.1016/j.ijinfomgt.2024.102783","url":null,"abstract":"<div><p>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, and strategic campaign decision-making. Despite these advancements, the scholarly focus on AI's transformative effects on marketing is limited. This research investigates how AI is currently applied across different marketing functions and its potential future evolution and impact on marketing processes. In a rapidly evolving world, businesses must navigate complexity, innovate, and sustain competitive advantages. Grounding our analysis in previous AI marketing literature, we adopt the dynamic capability theoretical lens, emphasizing how organizations adapt and prosper in changing environments. This study highlights six key marketing areas where AI promises transformative effects, aiming to illuminate the path for future marketing innovations and strategies, including AI-driven customer insights, measuring marketing performance, automated marketing strategies, ethical implications, enhancing customer experiences, and growth opportunities with AI Implementation. While recognizing AI as a positive disruptive force, we also highlight its limitations, potential threats to privacy and security, as well as ramifications of biases, misuse, and dissemination of misinformation. Finally, the article delineates the gaps in the research and formulates questions aimed at advancing knowledge in AI marketing.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"77 ","pages":"Article 102783"},"PeriodicalIF":21.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000318/pdfft?md5=3118975ae83498f9893e424cbd6a5548&pid=1-s2.0-S0268401224000318-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140776045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Illusion or reality? Building a metaverse community focused on value creation in the agricultural sector","authors":"M. Ángeles López-Cabarcos , Juan Piñeiro-Chousa","doi":"10.1016/j.ijinfomgt.2024.102782","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102782","url":null,"abstract":"<div><p>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 the implications of the new ways of working to be used in spaces created under the umbrella of a new technological order known as metaverse. Through the creation of a community of metaverses, capable of promoting interaction, collaboration and communication between the different agents involved in the value chain of the agricultural sector, the aim of this research is to create an integrated and collaborative trusting environment that allows consensual, well-founded and robust business decisions focused on cost savings and the optimisation of quality and productivity. This research seeks to benefit all agents involved in the agricultural sector value chain. By placing producers at the centre of the system, the approach described in this study aims to avoid the current imbalances between the interests of different agents, while promoting an innovative and sustainable agricultural sector committed to meeting the challenges of today’s society.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"77 ","pages":"Article 102782"},"PeriodicalIF":21.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000306/pdfft?md5=86032f876b948d18108f258b8aecbbe0&pid=1-s2.0-S0268401224000306-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140344588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach","authors":"Einav Peretz-Andersson , Sabrina Tabares , Patrick Mikalef , Vinit Parida","doi":"10.1016/j.ijinfomgt.2024.102781","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102781","url":null,"abstract":"<div><p>Artificial intelligence (AI) is playing a leading role in the digital transformation of enterprises, particularly in the manufacturing industry where it has been responsible for a profound transformation in key business and production operations. Despite the accelerated growth of AI technologies, knowledge of the implementation of AI by small and medium-sized enterprises (SMEs) remains underexplored. Thus, this study seeks to examine how manufacturing SMEs orchestrate resources for AI implementation. Building on the resource orchestration (RO) theory and recent work on AI implementation, we investigate multiple case studies involving manufacturing SMEs in Sweden operating in the packaging, plastic, and metal sectors. Our findings indicate that SMEs structure a portfolio based on acquiring and accumulating AI resources. AI resources are bundled into learning and governance capabilities to leverage configurations for AI implementation. Through a dynamic process of AI resource orchestration, SMEs effectively leverage AI resources and capabilities by mobilising technologies, coordinating manufacturing processes, and empowering skilled people. This research contributes to existing practice and the academic literature on AI implementation, highlighting how SMEs orchestrate AI resources and capabilities to drive an organisation’s digital transformation whilst creating a competitive advantage.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"77 ","pages":"Article 102781"},"PeriodicalIF":21.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S026840122400029X/pdfft?md5=45b8a98b95477191ee26e8b3376ee7ee&pid=1-s2.0-S026840122400029X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140341792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Masialeti Masialeti, Amir Talaei-Khoei, Alan T. Yang
{"title":"Revealing the role of explainable AI: How does updating AI applications generate agility-driven performance?","authors":"Masialeti Masialeti, Amir Talaei-Khoei, Alan T. Yang","doi":"10.1016/j.ijinfomgt.2024.102779","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102779","url":null,"abstract":"<div><p>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 agility. Additionally, we suggest that building explainability into the portfolio of AI applications when firms update their portfolio acts as a moderator to generate greater agility, which in return improves overall firm performance. Data from a survey of IT executives were analyzed to validate our proposed hypotheses. The results from the survey were also evaluated by a qualitative focus group session. This research is a significant contribution to the emerging literature on dynamic capabilities as it presents and tests a theory regarding the influence of the firm capability to update the portfolio of AI applications on agility and firm performance and the role of explainable AI.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"77 ","pages":"Article 102779"},"PeriodicalIF":21.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140296102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}