299 research outputs found
Data for: Blockchain Adoption Challenges in Supply Chain: An Empirical Investigation of the Main Drivers in India and the USA
No full textThe folder has two datasets 1. One for supply chain professionals with at least three years of experience in the area of blockchain in India2. Another of for supply chain professionals with at least three years of experience in the area of blockchain in the US
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Cybersecurity resilience and innovation ecosystems for sustainable business excellence: Examining the dramatic changes in the macroeconomic business environment
No full textData and information systems are valuable, rare, and often inimitable resources for any organization willing to innovate its products, processes, and business models, with the ultimate goal of gaining a competitive edge in a digital world. Data and information systems are also valuable and rare resources when organizations interact with each other within their ecosystems as data flows are deployed conjointly by organizations to achieve innovation and performance outcomes for their ecosystem. As such data and information systems within organizations, interorganizational relationships and ecosystems need to be protected. For this reason, organizations are required to strengthen their cybersecurity systems. This seems a necessary precondition to assist organizations and ecosystems to innovate their products, processes, and business models especially during times of dramatic changes (such as wars or pandemics) that can pose threats to organizational and ecosystem data protection. Accordingly, cybersecurity resilience allows to address those threats triggered by dramatic changes. In this light, this study aims to investigate how components of cybersecurity resilience can influence organizations’ innovation capabilities and ultimately sustainable business excellence as well as the moderating influences of macroeconomic policies and regulations. By building on a cross-sectional research design we found that cybersecurity resilience positively influences innovation capabilities that in their turn positively influence sustainable business excellence. We also find that macroeconomic policies and regulations moderate the relationship between government efficacy and sustainable business excellence
Guest editorial for the special issue on RFID - enabled healthcare: applications, issues and benefits
No full textInternational audienceInformation technology (IT)-enabled healthcare is an area of interest for scholars from various fields of research (Fichman et al. 2011). Lately, radio frequency identification (RFID) technology emerged as a new multidimensional IT innovation (Fosso Wamba 2011) with a tremendous research potential in the healthcare sector. However, the current level of articles published on RFID-enabled healthcare is still fairly low. For example, a review of articles on RFID technology by (Ngai et al. 2008) showed that only 3.6% of articles were concerned with applications, issues and benefits related to the healthcare sector. The main objective of this special issue was to attempt to bridge this knowledge gap, by seeking recent articles dealing with applications, issues and benefits related to RFID-enabled healthcare. All articles submitted to the special issue went through three rounds of double-blind review process, with a minimum of four reviewers per article. The review of the introductory article was handled by the journal's editor-in-chief to avoid any conflict of interest
Guest editorial for the special issue on RFID-enabled healthcare: applications, issues and benefits
No full textInformation technology (IT)-enabled healthcare is an area of interest for scholars from various fields of research (Fichman et al. 2011). Lately, radio frequency identification (RFID) technology emerged as a new multidimensional IT innovation (Fosso Wamba 2011) with a tremendous research potential in the healthcare sector. However, the current level of articles published on RFID-enabled healthcare is still fairly low. For example, a review of articles on RFID technology by (Ngai et al. 2008) showed that only 3.6% of articles were concerned with applications, issues and benefits related to the healthcare sector. The main objective of this special issue was to attempt to bridge this knowledge gap, by seeking recent articles dealing with applications, issues and benefits related to RFID-enabled healthcare. All articles submitted to the special issue went through three rounds of double-blind review process, with a minimum of four reviewers per article. The review of the introductory article was handled by the journal’s editor-in-chief to avoid any conflict of interest
Big Data’ as a Strategic Enabler of Superior Emergency Service Management: Lessons from the New South Wales State Emergency Service. Paper presented at the ICIS 2012 MIS Quarterly Executive Workshop
No full textA unique form of organization that has not received much attention is the emergency services organization, which is tasked with responding to crises and disasters such as floods, fires, hurricanes, tsunamis, and other natural and man-made disasters. Effective responses in such situations are reliant on the availability of archived information as well as on the effective real-time integration and utilization of data coming from various channels including sensors, satellites, social media feeds, photos, video and cell phone GPS signals or 'Big Data ' (IBM 2012; Rich 2012). The effective management of these events also requires the collaboration and coordination of a range of government decision makers, emergency response stakeholders, and community-based non-government organizations (Chatfield, Fosso Wamba et al. 2010). The availability of real-time location-aware information, as well as the ability to effectively integrate and utilize information available with different autonomous agencies are key to effective decision making and resource deployment t
Big Data as a Strategic Enabler of Superior Emergency Service Management: Lessons from The New South Wales State Emergency Service
No full textA unique form of organization that has not received much attention is the emergency services organization, which is tasked with responding to crises and disasters such as floods, fires, hurricanes, tsunamis, and other natural and man-made disasters. Effective responses in such situations are reliant on the availability of archived information as well as on the effective real-time integration and utilization of data coming from various channels including sensors, satellites, social media feeds, photos, video and cell phone GPS signals or 'Big Data' (IBM 2012; Rich 2012). The effective management of these events also requires the collaboration and coordination of a range of government decision makers, emergency response stakeholders, and community-based non-government organizations (Chatfield, Fosso Wamba et al. 2010). The availability of real-time location-aware information, as well as the ability to effectively integrate and utilize information available with different autonomous agencies are key to effective decision making and resource deployment to respond to crises
Tirer une valeur commerciale de l'intelligence artificielle dans les entreprises de commerce électronique B2C
No full textCette thèse par articles étudie comment les entreprises peuvent tirer parti de l’intelligence artificielle (l'IA) pour améliorer leurs capacités en matière de commerce électronique. La principale question de recherche à laquelle elle cherche à répondre est la suivante : comment l'IA peut-elle être comprise et exploitée pour améliorer les processus et les connaissances commerciales de l’entreprise, ainsi que l'engagement des clients dans le commerce électronique ? Le sujet de recherche est motivé par (i) le besoin croissant des entreprises de comprendre et d'apprendre sur les moyens de capitaliser sur les investissements en commerce électronique, susceptibles de répondre aux besoins actuels de leurs clients, et (ii) le besoin urgent d'expliquer le concept moderne de l'IA aux gestionnaires et la façon dont les technologies de l’IA peuvent être exploitées pour améliorer leurs capacités de commerce électronique. Cela a conduit à trois questions de recherche spécifiques : (i) comment comprendre l'IA d'une manière qui soit pertinente pour les gestionnaires ? (ii) comment les entreprises peuvent-elles tirer parti de l'IA pour améliorer leurs processus de commerce électronique et leur connaissance des affaires ? (iii) comment les entreprises peuvent-elles tirer parti de l'IA pour améliorer l'engagement des clients ? En raison de la densité et de la complexité du sujet, cette thèse adopte une approche méthodologique vaste. Elle fait appel à des typologies de recherche exploratoire, explicative et descriptive pour expliquer le quoi, le pourquoi et le comment des facteurs qui affectent la façon dont les entreprises peuvent créer de la valeur en utilisant l'IA dans le commerce électronique. Des stratégies de recherche quantitatives et qualitatives ont été adoptées, en fonction de la nature de la question de recherche. Les résultats de cette thèse sont résumés et présentés par question de recherche. RQ1 : Comment l'IA peut-elle être comprise d'une manière qui soit pertinente pour les managers ? Une perspective de l'IA qui peut être pertinente pour les gestionnaires intègre les dimensions de perception, de compréhension, d'action et d'apprentissage de l'intelligence que l'on retrouve dans l'IA. Dans cette optique, l'IA peut être classée en deux catégories principales : l'une centrée sur les interactions sociales et l'autre centrée sur les données. Utilisées ensemble, ces deux catégories peuvent créer une valeur commerciale importante pour les entreprises. RQ2 : Comment les entreprises peuvent-elles tirer parti de l'IA pour améliorer leurs processus de commerce électronique et leur connaissance du marché ? Les entreprises peuvent tirer parti de l'IA pour améliorer leurs processus de commerce électronique et leurs connaissances du marché en utilisant l'IA pour l'automatisation intelligente et l'aide à la décision. La capacité d'analyse automatisée (CAA) est une capacité dynamique que les entreprises pourraient développer pour atteindre cet objectif. Elle implique l'utilisation de techniques d'IA avancées pour automatiser les capacités analytiques des entreprises. RQ3 : Comment les entreprises peuvent-elles exploiter l'IA pour améliorer l'engagement des clients ? Les entreprises peuvent tirer parti de l'IA pour améliorer l'engagement des clients par le biais de l’amélioration de l'expérience client. Cette thèse contribue à la recherche sur la valeur commerciale de l'IA qui est un débat passionné dans les forums de chercheurs et de praticiens. Plus précisément, elle contribue aux débats dans le domaine des systèmes d’information sur la valeur commerciale de l'IA du point de vue des gestionnaires et des consommateurs, sur l'utilisation stratégique de l'IA pour créer de la valeur commerciale, et sur la façon dont l'IA peut servir de source de création de valeur par l'engagement des clients et l'automatisation.This thesis by publication investigates how firms can leverage AI to enhance their e-commerce capabilities. The main research question it sought to answer is: how can AI be understood and leveraged to improve business processes, insights, and customer engagement in e-commerce? The research topic is motivated by two main aspects. First, it is motivated by the growing need for firms to understand and learn how to capitalise on e-commerce investments that meet their customers' current needs. Second, it is inspired by the urgent need to explain the modern-day AI concept to managers and how it can be leveraged to enhance their e-commerce capabilities. These motivations led to one main research question: how can AI be understood and leveraged to enhance processes, business insights, and customer engagement in e-commerce? This main question was broken down into three specific research questions: (i) how can managers understand AI in a relevant way for value creation? (ii) how can firms leverage AI to improve their e-commerce processes and business insight? (iii) how can firms leverage AI to enhance customer engagement? This thesis adopts a vast methodological approach due to the topic's density and complexity. It uses exploratory, explanatory, and descriptive research types to explain the what, why, and how factors affecting firms' ability to create value by using AI in e-commerce. Quantitative and qualitative research strategies were adopted, depending on the research question. Documents (literature review data and data from practitioner sources), bibliometric data, interview data, and survey data were used to conduct this research. They were analysed using various techniques: content analysis, bibliometric analysis, PLS-SEM, and FsQCA. Furthermore, several theories were mobilised to explain the results: dynamic capability theory, theory of affordances, Goldberg’s Big Five Factors of personality, and a contextualised theory of reasoned action (TRA-privacy). The results of this thesis are summarised and presented by research question. RQ1: how can managers understand AI in a relevant way for value creation? A perspective of AI that can be relevant to managers incorporates the perception, comprehension, action, and learning dimensions of intelligence found in AI. Using this lens, AI can be categorised into two main categories: one centred around social interactions (frontend AI) and the other that is data-centred (backend AI). Both of them used together can create significant business value for firms. RQ2: How can firms leverage AI to improve their e-commerce processes and business insight? Firms can leverage AI to improve their e-commerce processes and business insights by using (backend) AI for intelligent automation and decision support. Automated analytics capability (AAC) is a dynamic capability that firms could develop to meet this objective. It implies using advanced AI techniques to automate firms' analytics capabilities. RQ3: How can firms leverage AI to enhance customer engagement? Firms can leverage AI to enhance customer engagement by leveraging (frontend) AI to enhance customer experience. This thesis contributes to research on AI's business value, a trending debate in both researcher and practitioner forums. Specifically, it contributes to IS debates on AI's business value from the manager and consumer perspectives, the strategic use of AI to create business value, and how AI can serve as a value creation source through customer engagement and automation. In marketing research, it contributes to debates about AI transforming marketing and retailing processes. It also contributes to understanding and anticipating voice shopping behaviours, experiences, and customers' engagement. Finally, it contributes to business & management research on AI by proposing an alternative interpretation of the concept of AI that could facilitate the use of AI for realistic digital transformation
RFID-Enabled Healthcare Applications, Issues and Benefits: An Archival Analysis (1997-2011)
No full textInternational audienceIn this paper, a comprehensive review of articles published between 1997 and 2011 in the Journal of Medical Systems ( JMS) on RFID technology is presented. A total of 22 papers are analyzed using a classification framework that has three dimensions: RFID-enabled healthcare applications, RFID-enabled healthcare issues, and RFID-enabled healthcare benefits. In addition, an invitation sent to all authors of the papers accepted for the special issue on RFID for the JMS allows them to position their various papers within the classification framework. Finally, a list of future research directions is presented
Artificial intelligence as an enabler of agri-food supply chain resilience
No full textSupply chain organisations have endured increasing levels of pressure in recent years due to unprecedented levels of uncertainty. These issues are exacerbated for agri-food supply chain (AFSC) organisations, as they are faced with meeting demanding food production targets (United Nations, 2022), while combating issues such as limited farmland, reduction of natural resources, and climate change (Spanaki et al., 2021). While disruptions are costly for all supply chain organisations due to the perishable nature of agri-food products, disruptions pose a significant concern for AFSC organisations as disruptive events cause products to edge closer to expiry, adding to unintentional food loss and cost of production. Hence, developing the capability to minimise the impact of disruptive events is crucial for AFSC organisations. Therefore, this doctoral research aims to examine the potential of AI as an enabler of AFSC resilience. Five research questions were outlined to achieve this overarching research objective, which was achieved through four studies.
Study 1A conducts a systematic literature review focussing on understanding the applications, challenges, and benefits of AI in supply chain research. AI and supply chain research is largely fragmented into streams based on different types of AI technologies across several supply chain contexts and through varying disciplinary perspectives. Study 1A is the first review to synthesise this fragmented body of knowledge, giving direction to both researchers and practitioners. Study 1B is a practitioner-focused paper that combines the outputs of Study 1A, in addition to data collected from 147 AFSC respondents, to provide an insight into the view of AFSC practitioners on AI applications. Study 1B extends the findings of Study 1A, giving this research a strong understanding from both literature and industry on AI's applications, challenges, and benefits in the AFSC industry. Collectively, this provides a foundation to guide the remainder of the studies conducted in this doctoral research.
In Study 2, this research provides empirical evidence on AI and SCR. Drawing on organisational information processing theory, this research provides a novel perspective to understanding how AFSCs can deploy AI-based information processing, utilising organisational mindfulness (OMIN) and organisational flexibility (OLFEX) to build resilient supply chains. Furthermore, Study 3 extends the research model proposed in Study 2 by drawing on dynamic capability theory to empirically test AI assimilation as an enabler of SCR under the moderating effect of environmental dynamism.
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Collectively, these studies make specific and distinguishing contributions to AI and supply chain research and practice. Study 1A contributes to the accumulative building of knowledge by extending theoretical discourse about the specificities of AI for prescriptive analytics to enable SCR. Study 2 is among the first empirical studies to draw on organisational information processing theory to examine AI-based information processing for developing AFSC resilience as well as the mediation effects of OFLEX and OMIN on this relationship; therefore, addressing the lack of theoretical development and understanding how AI-enabled information processing affects SCR (Belhadi et al., 2021), particularly in the context of AFSCs. Moreover, Study 3 is among the first to draw on dynamic capability theory to examine the impact of AI assimilation on SCR as well as the mediation effects of OMIN and OLFEX on this relationship. This is a considerable contribution to AI literature, as it provides a theoretical basis and empirical evidence of the importance of organisational competencies for leveraging AI technologies to improve SCR.
In terms of practical implications, this research helps decision-makers gain a better understanding of AI and its applications, specifically, how AI can be leveraged to develop SCR. Study 1A proposed a strategic AI resilience framework to support supply chain decision- makers and enhance the use and value of prescriptive analytics as an enabler to developing a resilient supply chain. Studies 2 and 3 demonstrate the important role of OMIN and OFLEX for AFSC managers seeking to use AI technologies to develop SCR. This implies that the employment of AI technologies to promote SCR requires managers to adopt the principles and practices of OMIN and OFLEX. Besides illustrating the importance of developing resilience for performing successfully in the turbulent environment that AFSCs operate in, this research also demonstrates that developing resilience can enhance AFSC performance and be a source of competitive advantage, giving further reasoning to AFSC managers to develop SCR
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