Artificial intelligence (AI) is considered a mechanism that can improve supply chain resilience. Organisations around the world are investing in implementing AI systems to their and become more resilient pandemics disruption. At same time, practitioners not fully aware of factors impact implementation these systems. Alongside this, extant literature lacks comprehensive study evaluates enablers impacting production This research fills this gap by identifying, defining, evaluating critical...

Digital transformation (DT) is becoming a necessity for enterprises in different industries all over the world. The DT turned out to be inevitable with coronavirus (COVID-19) outbreak. On March 2020, World Health Organization (WHO) announced COIVD-19 as global pandemic that caused thousands of deaths and brought world standstill huge economic burden (World Organization, 2020). This accelerated need organizations transform using extensive digitization response unprecedented change (Morgan,...

Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as having transformative powers to enable resilient supply chains (SC). Despite such a benefit, the increase in popularity of AI general, research is largely fragmented into streams based on different types technologies across several SC contexts through varying disciplinary perspectives. In response, we curate synthesise this body knowledge by conducting systematic literature review that have been...

Purpose The global health crisis represents an unprecedented opportunity for the development of artificial intelligence (AI) solutions. This paper aims to integrate explainable AI into decision-making process in emergency scenarios help mitigate high levels complexity and uncertainty associated with these situations. An solution is designed extract insights opioid overdose (OD) that can government agencies improve their medical response reduce opioid-related deaths....

The global health crisis represents an unprecedented opportunity for the development of artificial intelligence (AI) solutions. This article aims to tackle part biases in by implementing a human-centric AI help decision-makers organizations. It relies on results two design science research (DSR) projects: SCHOPPER and VRAILEXIA. These projects operationalize approach with complementary stages: 1) first installs human-in-loop informed process, 2) second implements usage architecture that...

Artificial intelligence (AI) significantly revolutionizes and transforms the global healthcare industry by improving outcomes, increasing efficiency, enhancing resource utilization. The applications of AI impact every aspect operation, particularly allocation capacity planning. This study proposes a multi-step AI-based framework applies it to real dataset predict length stay (LOS) for hospitalized patients. results show that proposed can LOS categories with an AUC 0.85 their actual mean...

Abstract Agri‐food supply chains (AFSCs) need to become more sustainable, and Industry 4.0 (I4.0) is a crucial enabler. However, various barriers make adopting I4.0 technologies achieve AFSC sustainability challenging. Few previous studies have examined China's agri‐food industry. Through literature review consultation of Chinese experts, we identify 27 in six categories prioritize these using group‐based fuzzy analytic hierarchy process produce novel results. First, new adoption closely...

This paper examines user intentions to accept or reject public e-services in Lebanon based on the model of acceptance technology households (MATH) and two-factors theory. Data were gathered 2009 two phases via interviews with open-ended questions first stage through a survey questionnaire second phase. Results qualitative quantitative studies show that only small percentage Lebanese intended government e-services. For intenders, perceived usefulness, support, computer self efficacy,...

When introducing public e-services, the Lebanese government predicted that it would reduce inequality between citizens (OMSAR, 2002). However, results of this research prove will not be case, and introduction virtual channel services delivery system create a e-services divide. In response to questions: “what is an divide?” are its antecedents consequences?”, cross-sectional explanatory shows divide separate citizen’s who have access ICTs, skills use accept from others. The result e-access...

Purpose The purpose of this paper is to focus on an information technology (IT) deployment project in the specific field agricultural cooperatives. It also aims underline importance IT implementation phase, but pre-implementation phase. Design/methodology/approach A four-year canonical action research was conducted within a network more than 300 Research carried out both during and after deployment. Key gathered through unstructured unofficial interviews, observations, notes, meetings,...

Demand forecasting is critical for energy systems, as difficult to store and should only be supplied needed. Researchers attempted improve forecasts of consumption. However, they assume independent factors increase at a constant growth rate, which unrealistic. Existing methods are designed determine annual consumption, whereas energy-planning organizations rely on short- or medium-term consumption values. Therefore, we propose new framework that introduces models scenarios. We apply cohort...

This article aims to improve Murphy’s explanation of the consequences sales contests by underlying relationships that exist between psychographic variables salespeople (competitiveness and status aspiration), perceived ethical climate contest, unethical behaviors observed during contest. Data were gathered via a survey questionnaire targeted salespersons selling financial products in four different French banks. A total 747 completed questionnaires collected their data analyzed using Partial...