A Conceptual Framework for Adopting Automation and Robotics Innovations in the Transformational Companies in the Kingdom of Saudi Arabia

  • Mohammed AldossariEmail author
  • Abdullah Mohd Zin
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1073)


Modern organizations are facing increasing labor costs and a lack of human resource, which has encouraged them to invest in robots, particularly as robots do not demand raises and can work 24/7. They are able to perform tasks that humans are unable to, like working in challenging conditions and achieving feats with accuracy. This paper aims to identify the factors influencing the behavioral intention to adopt robotics and automation among transformational companies in the kingdom of Saudi Arabia (KSA). This identification is to construct a conceptual framework for the proposed adoption of robotics and automation. The Technology Acceptance Model (TAM) and Technology, Organization, Environment (TOE) theory were the basis for the proposed conceptual framework. A literature review, including theory analysis, was used to identify factors and experts were consulted through interviews. The results show that the proposed conceptual framework was comprehensive and integral. All the prepositions were found to be important and supportive.


Robotics Automation Adoption Saudi Arabia Transformational companies 


  1. 1.
    Nagadi, K.: A framework to generate a smart manufacturing system configurations using agents and optimization (2016)Google Scholar
  2. 2.
    Kang, H.S., et al.: Smart manufacturing: past research, present findings, and future directions. Int. J. Precis. Eng. Manuf.-Green Technol. 3(1), 111–128 (2016)MathSciNetCrossRefGoogle Scholar
  3. 3.
    Radziwon, A., et al.: The smart factory: exploring adaptive and flexible manufacturing solutions. Procedia Eng. 69, 1184–1190 (2014)CrossRefGoogle Scholar
  4. 4.
    Qureshi, M.O., Syed, R.S.: The impact of robotics on employment and motivation of employees in the service sector, with special reference to health care. Saf. Health Work 5(4), 198–202 (2014)CrossRefGoogle Scholar
  5. 5.
    Basiri, A., Mousazadeh, R.: Industrial robotic systems & international human rights. J. Pol. L. 11, 53 (2018)Google Scholar
  6. 6.
    Riben, M.: Laboratory automation and middleware. Surg. Pathol. Clin. 8(2), 175–186 (2015)CrossRefGoogle Scholar
  7. 7.
    Aldossari, M., Zin, A.M.: The use of automation and robotic innovations in the transformational companies: systematic literature review. J. Theor. Appl. Inf. Technol. 97(13), 3661–3690 (2019)Google Scholar
  8. 8.
    Xu, X., Thong, J.Y., Tam, K.Y.: Winning back technology disadopters: testing a technology readoption model in the context of mobile internet services. J. Manag. Inf. Syst. 34(1), 102–140 (2017)CrossRefGoogle Scholar
  9. 9.
    Mettler, T., Sprenger, M., Winter, R.: Service robots in hospitals: new perspectives on niche evolution and technology affordances. Eur. J. Inf. Syst. 26(5), 451–468 (2017)CrossRefGoogle Scholar
  10. 10.
    Akmam Syed Zakaria, S., et al.: Contextual, structural and behavioural factors influencing the adoption of industrialised building systems: a review. Arch. Eng. Des. Manag. 14(1–2), 3–26 (2018)Google Scholar
  11. 11.
    Graetz, G., Michaels, G.: Robots at work (2015)Google Scholar
  12. 12.
    Seamans, R., Raj, M.: AI, Labor, Productivity and the Need for Firm-Level Data. National Bureau of Economic Research (2018)Google Scholar
  13. 13.
    Robotics, M.C.f.A.I. Robots, Productivity, Competitiveness and Growth. 2018.
  14. 14.
    Robotics, I.F.O.: The impact of robots on productivity, employment and jobs in a positioning paper by the international federation of robotics (20170Google Scholar
  15. 15.
    AbuShanab, E., Pearson, J.M., Setterstrom, A.J.: Internet banking and customers’ acceptance in Jordan: the unified model’s perspective. Commun. Assoc. Inf. Syst. 26(1), 23 (2010)Google Scholar
  16. 16.
    Mukred, M., et al.: The key factors in adopting an electronic records management system (ERMS) in the educational sector: A UTAUT-based framework. IEEE Access 7, 35963–35980 (2019)CrossRefGoogle Scholar
  17. 17.
    Mukred, M., Yusof, Z.M.: The performance of educational institutions through the electronic records management systems: factors influencing electronic records management system adoption. Int. J. Inf. Technol. Proj. Manag. (IJITPM) 9(3), 34–51 (2018)CrossRefGoogle Scholar
  18. 18.
    Mukred, M., et al.: A framework for electronic records management system adoption in the higher professional education: individual, technological and environmental factors. In: International Conference of Reliable Information and Communication Technology. Springer, Heidelberg (2018)Google Scholar
  19. 19.
    Mukred, M., Yusof, Z.M.: Electronic records management and its importance for decision making process in Yemeni higher professional education (hpe): a preliminary review. In: 1st International Conference of Recent Trends in Information and Communication Technologies (IRICT 2014), Johor Bahru, pp. 105–114 (2014)Google Scholar
  20. 20.
    Mukred, M., Yusof, Z.M.: The role of electronic records management (erm) for supporting decision making process in Yemeni higher professional education (hpe): a preliminary review. Jurnal Teknologi 73(2), 117–122 (2015)CrossRefGoogle Scholar
  21. 21.
    Mukred, M., Yusof, Z.M.: Factors influencing the adoption of electronic records management (ERM) for decision making process at higher professional education (HPE)’s institutions. In: 1st ICRIL-International Conference on Innovation in Science and Technology (lICIST 2015), Kuala Lumpur, pp. 399–403 (2015)Google Scholar
  22. 22.
    Mukred, M., et al.: Electronic records management system adoption readiness framework for higher professional education institutions in Yemen. Int. J. Adv. Sci. Eng. Inf. Technol. 6(6), 804–811 (2016)CrossRefGoogle Scholar
  23. 23.
    Mukred, M., Yusof, Z.M.: The DeLone–McLean information system success model for electronic records management system adoption in higher professional education institutions of Yemen. In: International Conference of Reliable Information and Communication Technology. Springer, Heidelberg (2017)Google Scholar
  24. 24.
    Conti, D., et al.: A cross-cultural study of acceptance and use of robotics by future psychology practitioners. In: 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE (2015)Google Scholar
  25. 25.
    Conti, D., et al.: Robots in education and care of children with developmental disabilities: a study on acceptance by experienced and future professionals. Int. J. Soc. Robot. 9(1), 51–62 (2017)CrossRefGoogle Scholar
  26. 26.
    De Graaf, M.M., Allouch, S.B.: Exploring influencing variables for the acceptance of social robots. Robot. Auton. Syst. 61(12), 1476–1486 (2013)CrossRefGoogle Scholar
  27. 27.
    Hashim, R., Yussof, H.: A review of the ambit of politics in social robotics. Procedia Comput. Sci. 105, 316–321 (2017)CrossRefGoogle Scholar
  28. 28.
    Kasemsap, K.: Robotics: theory and applications. In: Cybersecurity Breaches and Issues Surrounding Online Threat Protection, pp. 311–345 (2017)Google Scholar
  29. 29.
    de Boer, W., Åström, J.-M.: Robots of the future are coming, are you ready?: A study investigating consumers’ acceptance of robotics (2017)Google Scholar
  30. 30.
    Pedersen, M.R., et al.: Robot skills for manufacturing: from concept to industrial deployment. Robot. Comput.-Integr. Manuf. 37, 282–291 (2016)CrossRefGoogle Scholar
  31. 31.
    Solbraa Bay, A.J.T.: Innovation adoption in robotics: consumer intentions to use autonomous vehicles (2016)Google Scholar
  32. 32.
    Royakkers, L., van Est, R.: A literature review on new robotics: automation from love to war. Int. J. Soc. Robot. 7(5), 549–570 (2015)CrossRefGoogle Scholar
  33. 33.
    Heikkilä, A.-M., Myyrä, S., Pietola, K.: Effects of economic factors on adoption of robotics and consequences of automation for productivity growth of dairy farms (2012)Google Scholar
  34. 34.
    Khandewal, V., Miller, J.: Information system study. opportunity management program (1992)Google Scholar
  35. 35.
    Mukred, M., et al.: Taxonomic framework for factors influencing ERMS adoption in organisations of higher professional education. J. Inf. Sci. 45(2), 139–155 (2018)CrossRefGoogle Scholar
  36. 36.
    van den Brule, R., et al.: Do robot performance and behavioral style affect human trust? Int. J. Soc. Robot. 6(4), 519–531 (2014)CrossRefGoogle Scholar
  37. 37.
    Alharbi, S.T.: Trust and acceptance of cloud computing: a revised UTAUT model. In: 2014 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE (2014)Google Scholar
  38. 38.
    Lai, E.R.: Motivation: a literature review (2011)Google Scholar
  39. 39.
    Kohli, R.: Automation of academic libraries in ICT environment: issues and challenges. Asian J. Multidiscip. Stud. 2(12) (2014)Google Scholar
  40. 40.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q., 319–340 (1989)Google Scholar
  41. 41.
    Rantanen, T., et al.: The adoption of care robots in home care—a survey on the attitudes of Finnish home care personnel. J. Clin. Nurs. 27(9–10), 1846–1859 (2018)CrossRefGoogle Scholar
  42. 42.
    Bhavya, Y.A.: Comprehensive study on the prevailing automation and infrastructure in urban dairy sector (2018)Google Scholar
  43. 43.
    Raj, M., Seamans, R.: AI, labor, productivity, and the need for firm-level data. In: Economics of Artificial Intelligence, University of Chicago Press (2018)Google Scholar
  44. 44.
    Cowan, R.S.: The “industrial revolution” in the home: household technology and social change in the twentieth century. In: The Routledge Companion to Modernity, Space and Gender, pp. 81–97. Routledge, Abingdon (2018)Google Scholar
  45. 45.
    Argyris, C.: Integrating the Individual and the Organization. Routledge, Abingdon (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiMalaysia

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