A readiness assessment model for human systems management digitalization in industrial organizations

References

• Uchihira N, Eimura T. The nature of digital transformation project failures: impeding factors to stakeholder collaborations. J Intell Inf Smart Technol. 2022;7:1–16.
   Google Scholar
• Saldanha T. Why digital transformations fail: the surprising disciplines of how to take off and stay ahead. Oakland: Berrett-Koehler Publishers; 2019.
   Google Scholar
• Ismail MH, Khater M, Zaki M. Digital business transformation and strategy: what do we know so far. Cambridge Serv Alliance. 2017;10(1):1–35.
   Google Scholar
• da Silva LBP, Soltovski R, Pontes J, et al. Human resources management 4.0: literature review and trends. Comput Ind Eng. 2022;168:108111. doi: 10.1016/j.cie.2022.108111
   Web of Science ®Google Scholar
• Añón Higón D, Bonvin D. Digitalization and trade participation of SMEs. Small Bus Econ. 2024;62(3):857–877. doi: 10.1007/s11187-023-00799-7
   Web of Science ®Google Scholar
• Palumbo R, Casprini E, Montera R. Making digitalization work: unveiling digitalization’s implications on psycho-social risks at work. Total Qual Manag Bus Excellence. 2022. doi: 10.1080/14783363.2022.2055458
   Web of Science ®Google Scholar
• Wiesner S, Gaiardelli P, Gritti N, et al. Maturity models for digitalization in manufacturing-applicability for SMEs. In: Advances in Production Management Systems. Smart Manufacturing for Industry 4.0: IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, August 26–30, 2018, Proceedings, Part II. Springer International Publishing; 2018. p. 81–88.
   Google Scholar
• Hizam-Hanafiah M, Soomro MA, Abdullah NL. Industry 4.0 readiness models: a systematic literature review of model dimensions. Information. 2020;11(7):364. doi: 10.3390/info11070364
   Web of Science ®Google Scholar
• Azevedo A, Almeida AH. Grasp the challenge of digital transition in SMEs—a training course geared towards decision-makers. Educ Sci. 2021;11(4):151. doi: 10.3390/educsci11040151
   Google Scholar
• Klein VB, Todesco JL. COVID -19 crisis and SMEs responses: the role of digital transformation. Knowl Process Manag. 2021;28(2):117–133. doi: 10.1002/kpm.1660
   Web of Science ®Google Scholar
• Moeuf A, Lamouri S, Pellerin R, et al. Identification of critical success factors, risks and opportunities of industry 4.0 in SMEs. Int J Production Res. 2020;58(5):1384–1400. doi: 10.1080/00207543.2019.1636323
   Web of Science ®Google Scholar
• Pirola F, Cimini C, Pinto R. Digital readiness assessment of Italian SMEs: a case-study research. J Manuf Technol Manag. 2020;31(5):1045–1083. doi: 10.1108/JMTM-09-2018-0305
   Web of Science ®Google Scholar
• Meier A. Systematic review of the literature on SME digitalization: multi-sided pressure on existing SMEs. Digitalization: Approaches, Case Stud Tools Strategy, Transform Implementation. 2021:257–276. doi: 10.1007/978-3-030-69380-0_14
   Google Scholar
• Saltz JS, Shamshurin I. Big data team process methodologies: a literature review and the identification of key factors for a project’s success. In: 2016 IEEE International Conference on Big Data (Big Data). IEEE; 2016 Dec. p. 2872–2879.
   Google Scholar
• Davenport TH, Westerman G. Why so many high-profile digital transformations fail. Harvard Bus Rev. 2018;9(4):15.
   Google Scholar
• Khan MA. The impact of project management styles on digital transformation: a case study of an it services company. Int J Project Manag. 2020;4(1):1–9.
   Google Scholar
• Datta P. Digital transformation of the Italian public administration: a case study. Commun Assoc Inf Syst. 2020;46(1):11. doi: 10.17705/1CAIS.04611
   Google Scholar
• Osmundsen K, Iden J, Bygstad B. Digital transformation: drivers, success factors, and implications. The 12th Mediterranean Conference on Information Systems (MCIS), Corfu, Greece, 2018.
   Google Scholar
• Mhlungu NS, Chen JY, Alkema P. The underlying factors of a successful organisational digital transformation. SA J Inf Manag. 2019;21(1):1–10. doi: 10.4102/sajim.v21i1.995
   Web of Science ®Google Scholar
• Radziwill N. Why digital transformations fail: the surprising disciplines of how to take off and stay ahead (book review) Saldanha, T. 2019. Oakland (CA): Berrett-Koehler; 2020. p. 218.
   Google Scholar
• Soto Setzke D, Riasanow T, Böhm M, et al. Pathways to digital service innovation: the role of digital transformation strategies in established organizations. Inf Syst Front. 2023;25(3):1017–1037. doi: 10.1007/s10796-021-10112-0
   Web of Science ®Google Scholar
• Lund H, Buer SV, Skjelstad L. Digital roadmap methodology for small and medium-sized manufacturing companies. In: Proceedings of the Changeable, Agile, Reconfigurable and Virtual Production Conference and the World Mass Customization & Personalization Conference; Cham. Springer International Publishing; 2023 June. p. 700–708.
   Google Scholar
• Wank A, Adolph S, Anokhin O, et al. Using a learning factory approach to transfer industrie 4.0 approaches to small-and medium-sized enterprises. Procedia Cirp. 2016;54:89–94. doi: 10.1016/j.procir.2016.05.068
   Google Scholar
• Khan SA, Kusi-Sarpong S, Naim I, et al. A best-worst-method-based performance evaluation framework for manufacturing industry. Kybernetes. 2022;51(10):2938–2963. doi: 10.1108/K-03-2021-0202
   Web of Science ®Google Scholar
• Strohmeier S. Digital human resource management: a conceptual clarification. Ger J Hum Resource Manag. 2020;34(3):345–365. doi: 10.1177/2397002220921131
   Web of Science ®Google Scholar
• Thite M. Digital human resource development: where are we? Where should we go and how do we go there? Hum Resour Devel Int. 2022;25(1):87–103. doi: 10.1080/13678868.2020.1842982
   Web of Science ®Google Scholar
• Marler JH, Fisher SL. An evidence-based review of e-HRM and strategic human resource management. Hum Resource Manag Rev. 2013;23(1):18–36. doi: 10.1016/j.hrmr.2012.06.002
   Web of Science ®Google Scholar
• Marler JH, Boudreau JW. An evidence-based review of HR analytics. Int J Hum Resource Manag. 2017;28(1):3–26. doi: 10.1080/09585192.2016.1244699
   Web of Science ®Google Scholar
• Bondarouk T, Schilling D, Ruël H. eHRM adoption in emerging economies: the case of subsidiaries of multinational corporations in Indonesia. Can J Adm Sci. 2016;33(2):124–137. doi: 10.1002/cjas.1376
   Google Scholar
• Russo I, Mola L, Giangreco A. Digitalisation for survival: managing resources in digitalizing operations and processes in the fashion industry. Production Plann Control. 2023:1–19. doi: 10.1080/09537287.2023.2251001
   Web of Science ®Google Scholar
• Downing CE. The value of outsourcing: a field study. Inf Syst Manag. 2003;19(4):84–89.
   Google Scholar
• Ware M. Journal publishing systems: outsource or in‐house? Learned Publ. 2007;20(3):177–181. doi: 10.1087/095315107X205093
   Web of Science ®Google Scholar
• Afiouni F. Human capital management: a new name for HRM? Int J Learn Intellect Capital. 2013;10(1):18–34. doi: 10.1504/IJLIC.2013.052081
   Google Scholar
• Shahzad IA, Farrukh M, Wu Y, et al. Human systems management: a retrospective of 40 years. Hum Syst Manag. 2021;40(1):15–30. doi: 10.3233/HSM-200999
   Web of Science ®Google Scholar
• Rafiah KK, Widianto S, Kamal I, et al. Digital readiness of SMEs: an insight from Indonesia. AFEBI Manag Bus Rev. 2022;7(1):12–26. doi: 10.47312/ambr.v7i01.517
   Google Scholar
• Štaffenová N, Kucharčíková A. Digitalization in the human capital management. Syst. 2023;11(7):337. doi: 10.3390/systems11070337
   Web of Science ®Google Scholar
• Al-Shameri ASAS, Omar SS, Alzoraiki M, et al. Remote work policies as a critical HR practice to navigate through the COVID-19 pandemic and improve job performance: a review article. J Hunan Univ Nat Sci. 2024;51(1):1–13.
   Google Scholar
• Tursunbayeva A, Di Lauro S, Antonelli G. Remote work at the time of COVID-19 pandemic and beyond: a scoping review. HR Anal Digit HR Pract: Digitalization Post COVID-19. 2022:127–169. doi: 10.1007/978-981-16-7099-2_6
   Google Scholar
• Valdez ID, Ramirez CE, Khansari A, et al. Leading past COVID-19: an analysis of remote work now and beyond. Med Dosim. 2023;48(3):161–164. doi: 10.1016/j.meddos.2023.03.003
   PubMed Web of Science ®Google Scholar
• Re NU, Ghezzi A, Balocco R, et al. Supporting the digitalization of SMEs through maturity models. In: ECIE 2023 18th European Conference on Innovation and Entrepreneurship. Porto, Portugal: Academic Conferences and publishing limited; 2023 Sep. Vol 2.
   Google Scholar
• Dörr L, Fliege K, Lehmann C, et al. A taxonomy on influencing factors towards digital transformation in SMEs. J Small Bus Strategy. 2023;33(1):53–69. doi: 10.53703/001c.66283
   Google Scholar
• Appio FP, Cacciatore E, Cesaroni F, et al. Open innovation at the digital frontier: unraveling the paradoxes and roadmaps for SMEs’ successful digital transformation. Eur J Innov Manag. 2024;27(9):223–247. doi: 10.1108/EJIM-04-2023-0343
   Web of Science ®Google Scholar
• Sommer L. Industrial revolution-industry 4.0: are German manufacturing SMEs the first victims of this revolution? J Ind Eng Manag. 2015;8(5):1512–1532. doi: 10.3926/jiem.1470
   Google Scholar
• Alam K, Ali MA, Erdiaw-Kwasie MO, et al. Digital transformation among SMEs: does gender matter? Sustainability. 2022;14(1):535. doi: 10.3390/su14010535
   Web of Science ®Google Scholar
• Battistoni E, Gitto S, Murgia G, et al. Adoption paths of digital transformation in manufacturing SME. Int J Production Econ. 2023;255:108675. doi: 10.1016/j.ijpe.2022.108675
   Web of Science ®Google Scholar
• Eller R, Alford P, Kallmünzer A, et al. Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization. J Bus Res. 2020;112:119–127. doi: 10.1016/j.jbusres.2020.03.004
   Web of Science ®Google Scholar
• Mesa D, Renda G, Gorkin R III, et al. Implementing a design thinking approach to de-risk the digitalisation of manufacturing SMEs. Sustainability. 2022;14(21):14358. doi: 10.3390/su142114358
   Web of Science ®Google Scholar
• Mittal S, Khan MA, Romero D, et al. A critical review of smart manufacturing & Industry 4.0 maturity models: implications for small and medium-sized enterprises (SMEs). J Manuf Syst. 2018;49:194–214. doi: 10.1016/j.jmsy.2018.10.005
   Web of Science ®Google Scholar
• Jones MD, Hutcheson S, Camba JD. Past, present, and future barriers to digital transformation in manufacturing: a review. J Manuf Syst. 2021;60:936–948. doi: 10.1016/j.jmsy.2021.03.006
   Web of Science ®Google Scholar
• Jain D, Sharma H. Snapshot of digital transformation from the perspective of human resource management: a bibliometric approach. Bus Process Manag J. 2024;30(3):726–753. doi: 10.1108/BPMJ-06-2023-0458
   Web of Science ®Google Scholar
• Trenerry B, Chng S, Wang Y, et al. Preparing workplaces for digital transformation: an integrative review and framework of multi-level factors. Front Psychol. 2021;12:620766. doi: 10.3389/fpsyg.2021.620766
   PubMed Web of Science ®Google Scholar
• Fitzgerald R, Dyerson R, Mishimagi T. Strategic transformation in Japan’s SMEs, 1990–2008: flexible specialization, industrial restructuring, and technological change. Enterp Soc. 2023;24(2):319–354. doi: 10.1017/eso.2021.30
   Web of Science ®Google Scholar
• Hoang VL. Human resource training: an approach in digital era. VNU J Sci: Policy Manag Stud. 2023;39(1). doi: 10.25073/2588-1116/vnupam.4426
   Google Scholar
• Hassine ABH. The challenges of digital transformation, problems and promises: case of Tunisian SMEs. Quant Econ Manag Stud. 2022;3(1):9–20. doi: 10.35877/454RI.qems448
   Google Scholar
• Yang CL, Chuang SP, Huang RH. Manufacturing evaluation system based on AHP/ANP approach for wafer fabricating industry. Expert Syst With Appl. 2009;36(8):11369–11377. doi: 10.1016/j.eswa.2009.03.023
   Web of Science ®Google Scholar
• Mukherjee AA, Singh RK, Mishra R, et al. Application of blockchain technology for sustainability development in agricultural supply chain: justification framework. Oper Manag Res. 2022;15(1):46–61. doi: 10.1007/s12063-021-00180-5
   Web of Science ®Google Scholar
• Rawat P, Yashpal DJKP. An opinion of Indian manufacturing and service sector for adopting industry 4.0: a survey. Turk J Comput Math Educ (TURCOMAT). 2021;12(6):2370–2379. doi: 10.17762/turcomat.v12i6.5400
   Google Scholar
• Frey CB, Osborne MA. The future of employment: how susceptible are jobs to computerisation? Technol Forecast Soc Change. 2017;114:254–280. doi: 10.1016/j.techfore.2016.08.019
   Web of Science ®Google Scholar
• Agahi H, Gulthawatvichai S. Investigating barriers that may influence the implementation and use of E-HRM tools in the organization. In: Handbook of research on future opportunities for technology management education. IGI Global; 2021. p. 350–370. doi: 10.4018/978-1-7998-8327-2.ch021
   Google Scholar
• Chen Q, Zhang W, Jin N, et al. Digital transformation evaluation for small-and medium-sized manufacturing enterprises using the fuzzy synthetic method DEMATEL-ANP. Sustainability. 2022;14(20):13038. doi: 10.3390/su142013038
   Web of Science ®Google Scholar
• Barve A, Deepa N, Ravi C. A generalized multi criteria decision making method based on extension of ANP by enhancing PAIR WISE comparison techniques. Cybern Inf Technol. 2015;15(4):3–12. doi: 10.1515/cait-2015-0050
   Google Scholar
• Chicco G, Mazza A, Russo A. Optimization and decision-making in electrical distribution networks. In: 2012 International Conference and Exposition on Electrical and Power Engineering. Iasi, Romania: IEEE; 2012 Oct. p. 297–306.
   Google Scholar
• Cheng EW, Li H, Yu L. The analytic network process (ANP) approach to location selection: a shopping mall illustration. Construct Innov. 2005;5(2):83–97. doi: 10.1108/14714170510815195
   Google Scholar
• Ozdemir Y, Basligil H, Karaca M. Aircraft selection using analytic network process: a case for Turkish airlines. In: Proceedings of the World Congress on Engineering (WCE), London, U.K; 2011 (Vol. 8. p. 9–13).
   Google Scholar
• Uygun Ö, Kahveci TC, Taşkın H, et al. Readiness assessment model for institutionalization of SMEs using fuzzy hybrid MCDM techniques. Comput Ind Eng. 2015;88:217–228. doi: 10.1016/j.cie.2015.07.008
   Web of Science ®Google Scholar
• Sumrit D. A multi-criteria decision making model for readiness assessment of vendor managed inventory in healthcare. Int J Manag And Decis Mak. 2019;18(4):376–406. doi: 10.1504/IJMDM.2019.102645
   Google Scholar
• Kirmizi M, Kocaoglu B. The key for success in enterprise information systems projects: development of a novel ERP readiness assessment method and a case study. Enterp Inf Syst. 2020;14(1):1–37. doi: 10.1080/17517575.2019.1686656
   Web of Science ®Google Scholar
• Nasrollahi M, Ramezani J. A model to evaluate the organizational readiness for big data adoption. Int J Comput Commun Control. 2020;15(3). doi: 10.15837/ijccc.2020.3.3874
   Web of Science ®Google Scholar
• Menekse A, Akdag HC. A novel interval-valued spherical fuzzy CODAS: reopening readiness evaluation of academic units in the era of COVID-19. J Intell Fuzzy Syst. 2022;43(5):6461–6476. doi: 10.3233/JIFS-220468
   Web of Science ®Google Scholar
• Gupta A, Singh RK, Gupta S. Developing human resource for the digitization of logistics operations: readiness index framework. Int J Manpow. 2022;43(2):355–379. doi: 10.1108/IJM-03-2021-0175
   Web of Science ®Google Scholar
• Anggraini W, Pranggono B. Assessing digital readiness of small medium enterprises: intelligent dashboard decision support system. Int J Adv Comput Sci Appl. 2022;13(4). doi: 10.14569/IJACSA.2022.0130412
   Google Scholar
• Chen X, Chang-Richards A, Ling FYY, et al. Developing a readiness model and a self-assessment tool for adopting digital technologies in construction organizations. Building Res Inf. 2023;51(3):241–256. doi: 10.1080/09613218.2022.2136130
   Web of Science ®Google Scholar
• Attri R, Vikas. Prioritisation of key readiness factors to adopt Industry 4.0 in manufacturing organisations using select MCDM approaches. Int J Process Manag Benchmarking. 2023;13(3):303–334. doi: 10.1504/IJPMB.2023.129610
   Google Scholar
• Shukla M, Shankar R. Readiness assessment for smart manufacturing system implementation: multiple case of Indian small and medium enterprises. Int J Comput Integr Manuf. 2024;37(1–2):224–242. doi: 10.1080/0951192X.2023.2228268
   Web of Science ®Google Scholar
• Mahyarni M, Okfalisa O. SMEs digitalization readiness in supporting sharia FinTech: framework development using quadruple perceives in fuzzy analytical hierarchy process (FUZZY AHP). Serb J Manag. 2024;19(1):71–97. doi: 10.5937/sjm19-44971
   Google Scholar
• Rezaei J. Best-worst multi-criteria decision-making method. Omega (Westport). 2015;53:49–57. doi: 10.1016/j.omega.2014.11.009
   Web of Science ®Google Scholar
• Tavana M, Mina H, Santos-Arteaga FJ. A general best-worst method considering interdependency with application to innovation and technology assessment at NASA. J Bus Res. 2023;154:113272. doi: 10.1016/j.jbusres.2022.08.036
   Web of Science ®Google Scholar
• Rezaei J. Best-worst multi-criteria decision-making method: some properties and a linear model. Omega (Westport). 2016;64:126–130. doi: 10.1016/j.omega.2015.12.001
   Web of Science ®Google Scholar
• Mostafaeipour A, Rezaei M, Jahangiri M, et al. Feasibility analysis of a new tree-shaped wind turbine for urban application: a case study. Energy Environ. 2020;31(7):1230–1256. doi: 10.1177/0958305X19888878
   Web of Science ®Google Scholar
• Colomo-Palacios R, Fernandes E, Sabbagh M, et al. Human and intellectual capital management in the cloud: software vendor perspective. J Univers Comput Sci. 2012;18(11):1544–1557.
   Web of Science ®Google Scholar