{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T18:35:42Z","timestamp":1776450942020,"version":"3.51.2"},"reference-count":53,"publisher":"Emerald","issue":"10","license":[{"start":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T00:00:00Z","timestamp":1723161600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IMDS"],"published-print":{"date-parts":[[2024,10,1]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>This study tries to examine the effect of artificial intelligence (AI) drivers on the willingness to adopt the human capital supply chain (HCSC) in manufacturing firms (MFs) in developing countries (DCs) including Jordan, Saudi Arabia, Bahrain, Qatar and the United Arab Emirates, which are listed in the Chambers of Industry of these countries.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The quantitative methodology with a simple random sampling method was adopted using a questionnaire survey-based approach to collect data from 233 out of 1,055 participants (human resource (HR) managers and information technology (IT) senior managers) from various MFs (private and commercial), representing a 22% response rate. Covariance-based structural equation modeling (CB-SEM) was used to analyze the raw data using Amos V.25.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The results of this study showed that there are positive and statistically significant direct association effects between the reliability of use (RoU), competitive pressures (CPs) and user confidence (UC) factors on the willingness to adopt AI in HCSC in the MFs in DCs. At the same time, there is no significant effect on a firm\u2019s infrastructure readiness (FIRs), in addition to the indirect effect of UC in the relationship between CPs and FIRs on the willingness to adopt AI in HCSC.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>Such findings of this study can provide insightful implications for stakeholders and policymakers regarding the importance of using predictive AI drivers' effect on willingness to adopt the HCSC in the MFs in DCs as emerging economies. Additionally, the managers might focus on the existence of a significant positive indirect effect of UC as a mediating factor in the relationship between FIRs and willingness to adopt AI and its applications in HCSC systems and departments.<\/jats:p><\/jats:sec>","DOI":"10.1108\/imds-12-2023-0977","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T01:56:58Z","timestamp":1723082218000},"page":"2919-2938","source":"Crossref","is-referenced-by-count":7,"title":["Artificial intelligence drivers' effect on willingness to adopt the\u00a0human capital supply chain in manufacturing firms: an empirical investigation from developing countries \u2013 a mediation model"],"prefix":"10.1108","volume":"124","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8870-4042","authenticated-orcid":false,"given":"Moh\u2019d Anwer","family":"AL-Shboul","sequence":"first","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2024,8,9]]},"reference":[{"issue":"1","key":"key2024093009213722000_ref001","first-page":"3867","article-title":"Trends and opportunities of artificial intelligence in human resource management: aspirations for public sector in Bahrain","volume":"9","year":"2020","journal-title":"International Journal of Scientific and Technology Research"},{"issue":"6","key":"key2024093009213722000_ref002","doi-asserted-by":"publisher","first-page":"e0891","DOI":"10.26668\/businessreview\/2022.v7i6.e891","article-title":"Improve the competitive advantage through human resources management practices in the Iraqi banking sector","volume":"7","year":"2022","journal-title":"International Journal of Professional Business Review"},{"issue":"3-4","key":"key2024093009213722000_ref003","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1007\/s12063-021-00212-0","article-title":"An exploratory state-of-the-art review of artificial intelligence applications in circular economy using structural topic modeling","volume":"15","year":"2022","journal-title":"Operations Management Research"},{"issue":"1","key":"key2024093009213722000_ref004","doi-asserted-by":"publisher","first-page":"141","DOI":"10.22306\/al.v10i1.371","article-title":"Assisting artificial intelligence adoption drivers in human resources management: a mediation model","volume":"10","year":"2023","journal-title":"Acta Logistica"},{"issue":"5","key":"key2024093009213722000_ref005","doi-asserted-by":"publisher","first-page":"1607","DOI":"10.1108\/BPMJ-03-2023-0198","article-title":"The impact of industrial Internet of things on sustainable performance: the indirect effect of supply chain visibility","volume":"29","year":"2023","journal-title":"Business Process Management Journal"},{"key":"key2024093009213722000_ref006","doi-asserted-by":"publisher","DOI":"10.1016\/j.techsoc.2023.102403","article-title":"Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: a TOE framework","volume":"75","year":"2023","journal-title":"Technology in Society"},{"key":"key2024093009213722000_ref007","doi-asserted-by":"publisher","DOI":"10.1108\/IJOEM-08-2022-1223","article-title":"The determinants of export performance in the digital transformation era: empirical evidence from manufacturing firms","year":"2023","journal-title":"International Journal of Emerging Markets"},{"key":"key2024093009213722000_ref008","doi-asserted-by":"publisher","DOI":"10.1108\/EJIM-09-2022-0491","article-title":"Fostering green innovation: the roles of big data analytics capabilities and green supply chain integration","year":"2023","journal-title":"European Journal of Innovation Management"},{"key":"key2024093009213722000_ref009","doi-asserted-by":"publisher","DOI":"10.1108\/K-06-2023-1070","article-title":"How big data-driven organizational capabilities shape innovation performance? An empirical study from small and medium manufacturing enterprises","year":"2023","journal-title":"Kybernetes"},{"issue":"1","key":"key2024093009213722000_ref010","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1108\/bpmj-07-2022-0334","article-title":"Better understanding of technology effects in adoption of predictive supply chain business analytics among SMEs: fresh insights from developing countries","volume":"29","year":"2023","journal-title":"Business Process Management Journal"},{"issue":"2","key":"key2024093009213722000_ref011","doi-asserted-by":"publisher","first-page":"159","DOI":"10.22495\/jgrv11i2art14","article-title":"Enhancing firm's performance: the effect of human resources in supply chains and job rotation practice","volume":"11","year":"2022","journal-title":"Journal of Governance and Regulation"},{"key":"key2024093009213722000_ref012","doi-asserted-by":"crossref","unstructured":"Aust, I., Muller-Camen, M. and Poutsma, E. (2018), \u201cSustainable HRM: a comparative and international perspective\u201d, in Handbook of Research on Comparative Human Resource Management, Edward Elgar Publishing.","DOI":"10.4337\/9781784711139.00026"},{"issue":"1","key":"key2024093009213722000_ref013","doi-asserted-by":"publisher","DOI":"10.1016\/j.hrmr.2022.100893","article-title":"Artificial intelligence\u2013HRM interactions and outcomes: a systematic review and causal configurational explanation","volume":"33","year":"2023","journal-title":"Human Resource Management Review"},{"issue":"1","key":"key2024093009213722000_ref014","doi-asserted-by":"publisher","first-page":"32","DOI":"10.11591\/ijeecs.v18.i1.pp32-40","article-title":"A review paper on artificial intelligence at the service of human resources management","volume":"18","year":"2020","journal-title":"Indonesian Journal of Electrical Engineering and Computer Science"},{"issue":"1","key":"key2024093009213722000_ref015","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1108\/jkm-05-2018-0322","article-title":"Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management","volume":"23","year":"2019","journal-title":"Journal of Knowledge Management"},{"issue":"1","key":"key2024093009213722000_ref016","doi-asserted-by":"publisher","DOI":"10.1016\/j.hrmr.2022.100899","article-title":"Unlocking the value of artificial intelligence in human resource management through AI capability framework","volume":"33","year":"2023","journal-title":"Human Resource Management Review"},{"issue":"1","key":"key2024093009213722000_ref017","doi-asserted-by":"publisher","first-page":"334","DOI":"10.3390\/ijerph20010334","article-title":"The mediated effect of sports confidence on competitive state anxiety and perceived performance of basketball game","volume":"20","year":"2022","journal-title":"International Journal of Environmental Research and Public Health"},{"issue":"10211","key":"key2024093009213722000_ref018","doi-asserted-by":"publisher","first-page":"1795","DOI":"10.1016\/s0140-6736(19)32726-6","article-title":"Can skin cancer diagnosis be transformed by AI?","volume":"394","year":"2019","journal-title":"Lancet"},{"issue":"1","key":"key2024093009213722000_ref019","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3390\/jrfm16010031","article-title":"Artificial intelligence-driven talent management system: exploring the risks and options for constructing a theoretical foundation","volume":"16","year":"2023","journal-title":"Journal of Risk and Financial Management"},{"issue":"Supplement 1","key":"key2024093009213722000_ref020","doi-asserted-by":"publisher","first-page":"S28","DOI":"10.1097\/rti.0000000000000500","article-title":"Artificial intelligence-based fully automated per lobe segmentation and emphysema-quantification based on chest computed tom graphy compared with global initiative for chronic obstructive lung disease severity of smokers","volume":"35","year":"2020","journal-title":"Journal of Thoracic Imaging"},{"issue":"1","key":"key2024093009213722000_ref210","first-page":"39","article-title":"Evaluating structural equation models with unobservable variables and measurement error","volume":"18","year":"1982","journal-title":"Journal of Marketing Research"},{"issue":"3","key":"key2024093009213722000_ref021","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2020-034314","article-title":"Artificial intelligence for ROP screening and to assess quality of care: progress and challenges","volume":"147","year":"2021","journal-title":"Pediatrics"},{"issue":"4","key":"key2024093009213722000_ref022","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1177\/0008125619864925","article-title":"A brief history of artificial intelligence: on the past, present, and future of artificial intelligence","volume":"61","year":"2019","journal-title":"California Management Review"},{"issue":"2","key":"key2024093009213722000_ref023","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1108\/ebr-10-2013-0128","article-title":"Partial least squares structural equation modeling (PLS-SEM)","volume":"26","year":"2014","journal-title":"European Business Review"},{"issue":"3","key":"key2024093009213722000_ref024","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1108\/imds-04-2016-0130","article-title":"An updated and expanded assessment of PLS-SEM in information systems research","volume":"117","year":"2017","journal-title":"Industrial Management and Data Systems"},{"issue":"1","key":"key2024093009213722000_ref025","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/10705519909540118","article-title":"Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives","volume":"6","year":"1999","journal-title":"Structural Equation\u00a0Modeling: A Multidisciplinary Journal"},{"key":"key2024093009213722000_ref026","doi-asserted-by":"crossref","unstructured":"Hubona, G., Ray, P., Ringle, M. and Hair, J. (2021), \u201cPartial least squares structural equation modeling\u201d, in Handbook of Market Research, Springer International Publishing, Cham, Vol.\u00a05, pp.\u00a0587-632, doi: 10.1007\/978-3-319-57413-4_15.","DOI":"10.1007\/978-3-319-57413-4_15"},{"issue":"3","key":"key2024093009213722000_ref027","doi-asserted-by":"publisher","first-page":"42","DOI":"10.3390\/technologies8030042","article-title":"Perceived usefulness, satisfaction, ease of use and potential of a virtual companion to support the care provision for older adults","volume":"8","year":"2020","journal-title":"Technologies (Basel)"},{"issue":"1","key":"key2024093009213722000_ref028","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1186\/s12916-019-1426-2","article-title":"Key challenges for\u00a0delivering clinical impact with artificial intelligence","volume":"17","year":"2019","journal-title":"BMC Medicine"},{"issue":"3","key":"key2024093009213722000_ref029","doi-asserted-by":"publisher","first-page":"e0667","DOI":"10.26668\/businessreview\/2022.v7i3.0667","article-title":"Impact of human capital management on organizational performance with the mediation effect of human resource analytics","volume":"7","year":"2022","journal-title":"International Journal of Professional Business Review"},{"key":"key2024093009213722000_ref030","volume-title":"Content Analysis: An Introduction to its Methodology","year":"2018"},{"key":"key2024093009213722000_ref031","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105472","article-title":"A review of the use of artificial intelligence methods in\u00a0infrastructure systems","volume":"116","year":"2022","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"2","key":"key2024093009213722000_ref032","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1080\/02701367.2006.10599359","article-title":"Self-confidence as a mediator of the relationship between competitive anxiety intensity and interpretation","volume":"77","year":"2006","journal-title":"Research Quarterly for Exercise and Sport"},{"issue":"2","key":"key2024093009213722000_ref033","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/s40290-019-00269-0","article-title":"Artificial intelligence within pharmacovigilance: a means to identify cognitive services and the framework for their validation","volume":"33","year":"2019","journal-title":"Pharmaceutical Medicine"},{"key":"key2024093009213722000_ref034","first-page":"1","article-title":"The adoption of artificial intelligence in human resources management practices","volume":"4","year":"2024","journal-title":"International Journal of Information Management Data Insights"},{"issue":"6","key":"key2024093009213722000_ref035","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.1080\/09585192.2021.1879206","article-title":"The adoption of artificial intelligence in employee recruitment: the influence of contextual factors","volume":"33","year":"2022","journal-title":"International Journal of Human Resource Management"},{"key":"key2024093009213722000_ref036","doi-asserted-by":"crossref","unstructured":"Panda, A., Pasumarti, S.S. and Hiremath, S. (2023), \u201cAdoption of artificial intelligence in HR practices: an empirical analysis\u201d, in Tyagi, P., Chilamkurti, N., Grima, S., Sood, K. and Balusamy, B. (Eds), The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part B (Emerald Studies in Finance, Insurance, and Risk Management), pp.\u00a065-80, doi: 10.1108\/978-1-80455-662-720230005.","DOI":"10.1108\/978-1-80455-662-720230005"},{"issue":"2","key":"key2024093009213722000_ref037","doi-asserted-by":"publisher","first-page":"183","DOI":"10.24230\/kjiop.v34i2.183-211","article-title":"Employees' intention to use artificial intelligence: roles of perceived usefulness, trust, and perceived organizational support","volume":"34","year":"2021","journal-title":"Korean Journal of Industrial and Organizational Psychology"},{"issue":"1","key":"key2024093009213722000_ref038","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/ijide.292010","article-title":"Perceived usefulness and Ease of use of Artificial Intelligence on marketing innovation","volume":"13","year":"2022","journal-title":"International Journal of Innovation in the Digital Economy"},{"issue":"10","key":"key2024093009213722000_ref039","doi-asserted-by":"publisher","first-page":"3998","DOI":"10.1016\/j.jbusres.2016.06.007","article-title":"Partial least squares structural equation modeling","volume":"69","year":"2016","journal-title":"Journal of Business Research"},{"key":"key2024093009213722000_ref040","doi-asserted-by":"crossref","unstructured":"Sarstedt, M., Ringle, C.M. and Hair, J.F. (2017), \u201cPartial least squares structural equation modeling\u201d, in Handbook of Market Research, Springer International Publishing, Cham, pp.\u00a0587-632.","DOI":"10.1007\/978-3-319-57413-4_15"},{"issue":"2","key":"key2024093009213722000_ref041","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2139\/ssrn.2609777","article-title":"Regulating artificial intelligence systems: risks, challenges, competencies, and strategies","volume":"29","year":"2015","journal-title":"Harvard Journal of Law and Technology"},{"key":"key2024093009213722000_ref042","article-title":"The relationship between confidence and performance throughout a competitive season","year":"2013"},{"issue":"18","key":"key2024093009213722000_ref043","doi-asserted-by":"publisher","first-page":"7681","DOI":"10.3390\/su12187681","article-title":"Sustainable development of human resources in globalization period","volume":"12","year":"2020","journal-title":"Sustainability"},{"issue":"2","key":"key2024093009213722000_ref044","doi-asserted-by":"publisher","first-page":"142","DOI":"10.20547\/jms.2014.1704202","article-title":"Testing and controlling for common method variance: a review of available methods","volume":"4","year":"2017","journal-title":"Journal of Management Sciences"},{"key":"key2024093009213722000_ref045","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.procir.2016.07.041","article-title":"Software-defined cloud manufacturing for Industry 4.0","volume":"52","year":"2016","journal-title":"Procedia Cirp"},{"issue":"4","key":"key2024093009213722000_ref046","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1287\/isre.11.4.342.11872","article-title":"Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model","volume":"11","year":"2000","journal-title":"Information Systems Research"},{"issue":"6","key":"key2024093009213722000_ref047","doi-asserted-by":"publisher","first-page":"1237","DOI":"10.1080\/09585192.2020.1871398","article-title":"Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review","volume":"33","year":"2022","journal-title":"International Journal of Human Resource Management"},{"issue":"2","key":"key2024093009213722000_ref205","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1108\/ijm-07-2021-0423","article-title":"A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership","volume":"43","year":"2022","journal-title":"International Journal of Manpower"},{"issue":"5","key":"key2024093009213722000_ref206","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1108\/ijilt-02-2020-0022","article-title":"Artificial intelligence in the workplace - a double-edged word","volume":"37","year":"2020","journal-title":"The International Journal of Information and Learning Technology"},{"issue":"3","key":"key2024093009213722000_ref207","doi-asserted-by":"publisher","first-page":"262","DOI":"10.22146\/gamaijb.32106","article-title":"The role of perceived usefulness and perceived ease-of-use toward satisfaction and trust which influence computer consumers\u2019 loyalty in China","volume":"23","year":"2021","journal-title":"Gadjah Mada International Journal of Business"},{"issue":"13","key":"key2024093009213722000_ref208","doi-asserted-by":"publisher","first-page":"7690","DOI":"10.3390\/su14137690","article-title":"Supply chain diversification, digital transformation, and supply chain resilience: configuration analysis based on","volume":"14","year":"2022","journal-title":"Sustainability"},{"issue":"7","key":"key2024093009213722000_ref209","doi-asserted-by":"publisher","first-page":"1893","DOI":"10.1108\/bpmj-10-2019-0411","article-title":"Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects","volume":"26","year":"2020","journal-title":"Business Process Management Journal"}],"container-title":["Industrial Management &amp; Data Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IMDS-12-2023-0977\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IMDS-12-2023-0977\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:54:31Z","timestamp":1753394071000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/imds\/article\/124\/10\/2919-2938\/1215238"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,9]]},"references-count":53,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2024,8,9]]},"published-print":{"date-parts":[[2024,10,1]]}},"alternative-id":["10.1108\/IMDS-12-2023-0977"],"URL":"https:\/\/doi.org\/10.1108\/imds-12-2023-0977","relation":{},"ISSN":["0263-5577","1758-5783"],"issn-type":[{"value":"0263-5577","type":"print"},{"value":"1758-5783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,9]]}}}