The Use of Artificial Intelligence in Employee Recruitment in the Furniture Industry of Iran According to the Role of Contextual Factors

1 Abdeldayem, M. M., Aldulaimi, S. H. (2020), Trends and opportunities of artificial intelligence in human resource management: Aspirations for the public sector in Bahrain, International Journal of Scientific and Technology Research, 9(1), 3867–3. Search in Google Scholar

2 Alsheibani, S. A., Cheung, D., Messom, D. (2019), Factors Inhibiting the Adoption of Artificial Intelligence at Organizational Level: A Preliminary Investigation. Search in Google Scholar

3 Azizi, M., Mansouri, H. (2021), Analysis of marketing strategy planning in the home furniture industry by applying ANP: an Iranian home furniture industry case study, International Journal of the Analytic Hierarchy Process, 13(1). Search in Google Scholar

4 Baker, J., (2012), The technology–organization–environment framework. Information Systems Theory: Explaining and Predicting Our Digital Society, Vol. 1, 231–245. Search in Google Scholar

5 Baratelli, G., Colleoni, E. (2022), Does Artificial Intelligence (AI) Enabled Recruitment Improve Employer Branding, International Journal of Business and Management, 17(2). Search in Google Scholar

6 Bazrkar, A. (2020), The Investigation of the Role of Information Technology in Creating and Developing a Sustainable Competitive Advantage for Organizations through the Implementation of Knowledge Management. Journal of Spatial and Organizational Dynamics, 8(4), 287–299. Search in Google Scholar

7 Cohen, W. M., Levinthal, D. A. (1990), Absorptive capacity: A new perspective on learning and innovation, Administrative Science Quarterly, 35(1), 128–152, https://doi.org/10.2307/2393553. Search in Google Scholar

8 Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Williams, M. D. (2021), Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy, International Journal of Information Management, 57, 101994. Search in Google Scholar

9 Fenech, J. P., Vosgha, H. (2019), Oil price and Gulf Corporation Council stock indices: New evidence from time-varying copula models, Economic Modelling, 77, 81–91. Search in Google Scholar

10 Ferraris, A., Vrontis, D., Belyaeva, Z., De Bernardi, P., Ozek, H. (2020), Innovation within the food companies: how creative partnerships may conduct to better performances?, British Food Journal, 123(1), 143–158. Search in Google Scholar

11 Geetha, R., Bhanu, S. R. D. (2018), Recruitment through artificial intelligence: a conceptual study, International Journal of Mechanical Engineering and Technology, 9(7), 63–70. Search in Google Scholar

12 Ghi, T., Srivastava, A. (2021), The Global AI Arms Race—How Nations Can Avoid Being Left Behind, Arthur D. Little. Search in Google Scholar

13 Grover, K. L. (2022), Artificial Intelligence: A Tool for Optimizing Talent Acquisition, Issue 2 Int’l JL Mgmt. & Human, 5, 460. Search in Google Scholar

14 Guenole, N., Feinzig, S. (2018), The business case for AI in HR. With Insights and Tips on Getting Started, Armonk: IBM Smarter Workforce Institute, IBM Corporation. Search in Google Scholar

15 Jia, Q., Guo, Y., Li, R., Li, Y., Chen, Y. (2018), A Conceptual Artificial Intelligence Application Framework in Human Resource, 18th International Conference on Electronic Business, 106–114. Search in Google Scholar

16 John, K. T. (2021), Digital disruption: the hyperlocal delivery and cloud kitchen driven future of food services in post-COVID India, International Hospitality Review. Search in Google Scholar

17 Hill, J., Ford, W. R., Farreras, I. G. (2015), Real conversations with artificial intelligence: A comparison betweenhuman–humann online conversations and human–chatbot conversations, Computers in human behavior, 49, 245–250. Search in Google Scholar

18 Hofmann, P., Jöhnk, J., Protschky, D., Urbach, N. (2020, March), Developing Purposeful AI Use Cases-A Structured Method and Its Application in Project Management, In Wirtschaftsinformatik (Zentrale Tracks), 33–49. Search in Google Scholar

19 Hmoud, B., Laszlo, V. (2019), Will artificial intelligence take over human resources recruitment and selection? Network Intelligence Studies, 7(13), 21–30. Search in Google Scholar

20 Hsu, P. F., Kraemer, K. L., Dunkle, D. (2006), Determinants of e-business use in US companies, International Journal of Electronic Commerce, 10(4), 9–45, https://doi.org/10.2753/JEC1086-4415100401. Search in Google Scholar

21 Hsu, H. T., Jong, G. J., Chen, J. H., Jhe, C. G. (2019, February), Improve IoT security system of smart-home by using support vector machine, In 2019 IEEE 4th International Conference on Computer and Communication Systems (ICS), 674–677, IEEE. Search in Google Scholar

22 Hanisch, B., Wald, A. (2014), Effects of complexity on the success of temporary organizations: Relationship quality and transparency as substitutes for formal coordination mechanisms, Scandinavian Journal of Management, 30(2), 197–213. Search in Google Scholar

23 Kumari, P. B., Hemalatha, A. (2021), Perception Towards Artificial Intelligence in Human Resources Management Practices - Concerning IT Companies in Chennai, IJRTE, Available at SSRN: https://ssrn.com/abstract=3897508. Search in Google Scholar

24 Malik, S. Y., Cao, Y., Mughal, Y. H., Kundi, G. M., Mughal, M. H., Ramayah, T. (2020), Pathways towards sustainability in organizations: Empirical evidence on the role of green human resource management practices and green intellectual capital, Sustainability, 12(8), 3228. Search in Google Scholar

25 Matsa, P., Gullamajji, K., (2019), To Study theImpact of Artificial Intelligence on Human Resource Management, International Research Journal of Engineering and Technology (IRJET), 6(8). Search in Google Scholar

26 Nekit, K. (2023), Legal nature and types of digital assets in the activities of technology-oriented startups, Juridical Tribune Journal Tribuna Juridica, 13(2), 304–326. Search in Google Scholar

27 Pan, Y., Froese, F., Liu, N., Hu, Y., Ye, M. (2022), The adoption of artificial intelligence in employee recruitment: The influence of contextual factors, The International Journal of Human Resource Management, 33(6), 1125–1147. Search in Google Scholar

28 Pedro, R. (2023), Artificial intelligence on the public sector in Portugal: first legal approach, Juridical Tribune Journal= Tribuna Juridica, 13(2), 149–170. Search in Google Scholar

29 Premnath, E., Chully, A. A. (2020), Artificial Intelligence in Human Resource Management: A Qualitative Study in the Indian Context, Journal of Xi’an University of Architecture & Technology, XI, 1193–1205. Search in Google Scholar

30 Pumplun, L., Tauchert, C., Heidt, M. (2019), A new organizational chassis for artificial intelligence-exploring organizational readiness factors. Search in Google Scholar

31 Ransbotham, S., Kiron, D., Gerbert, P., Reeves, M. (2017), Reshaping business with artificial intelligence: Closing the gap between ambition and action, MIT Sloan Management Review, 59(1). Search in Google Scholar

32 Reddy, D. J. M., Regella, S., Seelam, S. R. (2020), Recruitment prediction using machine learning, In 2020 5th International Conference on Computing, Communication and Security (ICCCS), 1–4, IEEE. Search in Google Scholar

33 Rogers, E. (2003), The diffusion of innovations (5th ed.), The Free Press. Search in Google Scholar

34 Shayegan, S., Yavari, N., Bazrkar, A. (2022), Human resource development practices and organizational performance: Examining the mediating role of transformational leadership style, WPOM-Working Papers on Operations Management, 13 (2), 64–85. Search in Google Scholar

35 Tornatzky, L., Fleischer, M. (1990), The process of technology innovation. Lexington Books. Search in Google Scholar

36 Van Esch, P., Black, J. S., Ferolie, J. (2019), Marketing AI recruitment: The next phase in job application and selection, Computers in Human Behavior, 90, 215–222, https://doi.org/10.1016/j.chb.2018.09.009. Search in Google Scholar

37 Van Esch, P., Black J.S. (2019), Factors that influence new generation candidates to engage with completely digital, AI-enabled recruiting, Business Horizons, 62(6), 729–739. Search in Google Scholar

38 Verlinden, N. (2019), 9 Intriguing Uses of AI in Recruitment in 2019, Retrieved from https://harver.com/blog/ai-in-recruitment-2019./ Search in Google Scholar

39 Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., Trichina, E. (2022), Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review, The International Journal of Human Resource Management, 33(6), 1237–1266. Search in Google Scholar

40 Votto, A. M., Valecha, R., Najafirad, P., Rao, H. R. (2021), Artificial intelligence in tactical human resource management: A systematic literature review, International Journal of Information Management Data Insights, 1(2), 100047. Search in Google Scholar

41 Wan, I., Roshidi, H. (2019), Recruitment Trends in the Era of Industry 4.0 Using Artificial Intelligence: Pro and Cons. Asian Journal of Research in Business and Management, 1(1), 16–21, http://myjms.mohe.gov.my/index.php/ajrbm. Search in Google Scholar

42 Wang, Y. M., Wang, Y. S., Yang, Y. F. (2010), Understanding the determinants of RFID adoption in the manufacturing industry, Technological Forecasting and Social Change, 77(5), 803–815, https://doi.org/10.1016/j.techfore.2010.03.006. Search in Google Scholar

43 Xu, J., Lu, W. (2022), Developing a human-organization-technology fit model for information technology adoption in organizations, Technology in Society, 70, 102010. Search in Google Scholar

44 Zhu, K., Dong, S., Xu, S. X., Kraemer, K. L. (2006), Innovation diffusion in global contexts: Determinants of post-adoption digital transformation of European companies, European Journal of Information Systems, 15(6), 601–616, https://doi.org/10.1057/palgrave.ejis.3000650. Search in Google Scholar

45 Zeng, H. (2020), Adaptability of Artificial Intelligence in Human Resources Management in This Era, International Journal of Science, 7(1). Search in Google Scholar