1. Home
  2. Vol 4, No 3 (2023)
  3. Momin

Comprehensive Review of the Impact of Advanced Technology Adoption on Work and Continuous Improvement

Mujtaba M. Momin, Omar Ali

Abstract


Technology advances are changing how companies and their employees do their respective jobs. The intervention of technology has revolutionized the way jobs are conceptualized, discussed, performed, and delivered. This analysis aims to deliver a summary of the impact of the adoption of advanced technology on job characteristics and the impact on job demand and continuous improvement, which can act as a reference for theorists and practitioners to map, research, and analyze the effect of technology on work systems and productivity. By presenting a systematic review of the literature along with several avenues for future research, we hope that this research will contribute to job demand and ongoing research. A total of 30 articles were reviewed from a total generated article database of 335, which were systematically selected from different academic databases between 2001 and 2021. The review signifies the role of technology in influencing work complexities, privacy, workload, workflow interruptions, manual work, role expectations, and developmental opportunities. This study is pivotal in substantiating the influence of technology in work systems, besides furnishing variables and themes for further studies in the area.

 

Doi: 10.28991/HIJ-2023-04-03-014

Full Text: PDF


Keywords


Advanced Technology; Adoption; Work; Continuous Improvement.

References


Amick, B. C., & Celentano, D. D. (1991). Structural determinants of the psychosocial work environment: Introducing technology in the work stress framework. Ergonomics, 34(5), 625–646. doi:10.1080/00140139108967341.

Cascio, W. F., & Montealegre, R. (2016). How Technology Is Changing Work and Organizations. Annual Review of Organizational Psychology and Organizational Behavior, 3, 349–375. doi:10.1146/annurev-orgpsych-041015-062352.

Chesley, N. (2014). Information and communication technology use, work intensification and employee strain and distress. Work, Employment and Society, 28(4), 589–610. doi:10.1177/0950017013500112.

Ford, M. (2015). Rise of the Robots: Technology and the Threat of a Jobless Future. Basic Books, New York, United States.

Schwab, K. (2017). The Fourth Industrial Revolution. World Economic Forum, Geneva, Switzerland.

Nazareno, L., & Schiff, D. S. (2021). The impact of automation and artificial intelligence on worker well-being. Technology in Society, 67, 101679. doi:10.1016/j.techsoc.2021.101679.

Konuk, H., Ataman, G., & Kambur, E. (2023). The effect of digitalized workplace on employees’ psychological well-being: Digital Taylorism approach. Technology in Society, 74, 102302. doi:10.1016/j.techsoc.2023.102302.

Xin, D., Wu, E. Y., Lee, D. J. L., Salehi, N., & Parameswaran, A. (2021). Whither AutoML? Understanding the role of automation in machine learning workflows. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 83, 1–16. doi:10.1145/3411764.3445306.

Zhang, Z., Nandhakumar, J., Hummel, J. T., & Waardenburg, L. (2020). Addressing the Key Challenges of Developing Machine Learning AI Systems for Knowledge-Intensive Work. MIS Quarterly Executive, 19(4), 221–238. doi:10.17705/2msqe.00035.

Yu, H., & Zhou, Z. (2021). Optimization of IoT-Based Artificial Intelligence Assisted Telemedicine Health Analysis System. IEEE Access, 9, 85034–85048. doi:10.1109/ACCESS.2021.3088262.

Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. Quarterly Journal of Economics, 118(4), 1279–1333. doi:10.1162/003355303322552801.

Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30. doi:10.1257/jep.29.3.3.

Ellström, P. E. (1997). The many meanings of occupational competence and qualification. Journal of European Industrial Training, 21(6/7), 266–273. doi:10.1108/03090599710171567.

Mulder, R. H., Messmann, G., & König, C. (2015). Vocational Education and Training: Researching the Relationship between School and Work. European Journal of Education, 50(4), 497–512. doi:10.1111/ejed.12147.

Weick, K.E. (1990). Technology as equivoque: sensemaking in new technologies P.S. Goodman, L.S. Sproull (Eds.), Technology and Organizations, Jossey-Bass, San Francisco, United States, 1-44.

McOmber, J. B. (1999). Technological autonomy and three definitions of technology. Journal of Communication, 49(3), 137–153. doi:10.1111/j.1460-2466.1999.tb02809.x.

David, H. (2013). The “Task Approach” to labor markets: an overview. Journal for Labour Market Research, 46(3), 185-199. doi:10.1007/s12651-013-0128-z.

Liker, J. K., Haddad, C. J., & Karlin, J. (1999). Perspectives on technology and work organization. Annual Review of Sociology, 25(1), 575–596. doi:10.1146/annurev.soc.25.1.575.

Orlikowski, W. J., & Scott, S. V. (2008). 10 Sociomateriality: Challenging the Separation of Technology, Work and Organization. The Academy of Management Annals, 2(1), 433–474. doi:10.1080/19416520802211644.

Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6), 910–936. doi:10.1108/JMTM-02-2018-0057.

Ali, O., Ally, M., Clutterbuck, & Dwivedi, Y. (2020). The state of play of blockchain technology in the financial services sector: A systematic literature review. International Journal of Information Management, 54, 102199. doi:10.1016/j.ijinfomgt.2020.102199.

Ali, O., Soar, J., & Shrestha, A. (2018). Perceived potential for value creation from cloud computing: a study of the Australian regional government sector. Behaviour and Information Technology, 37(12), 1157–1176. doi:10.1080/0144929X.2018.1488991.

Ali, O. (2014). Challenges and Issues within Cloud Computing Technology. In W. Zimmermann, Y. W. Lee, & C. Reich (Eds.), Proceedings of the 5th International Conference on Cloud (Issue c, pp. 55–63). University of Southern Queensland.

Kitchenham, B. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering: Version 2.3. EBSE Technical Report EBSE-2007-01, Keele University, Keele, United States.

Dabić, M., Vlačić, B., Paul, J., Dana, L. P., Sahasranamam, S., & Glinka, B. (2020). Immigrant entrepreneurship: A review and research agenda. Journal of Business Research, 113, 25–38. doi:10.1016/j.jbusres.2020.03.013.

Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). International Journal of Consumer Studies, 45(4). doi:10.1111/ijcs.12695.

Eteokleous, P. P., Leonidou, L. C., & Katsikeas, C. S. (2016). Corporate social responsibility in international marketing: review, assessment, and future research. International Marketing Review, 33(4), 580–624. doi:10.1108/IMR-04-2014-0120.

Paul, J., & Benito, G. R. G. (2018). A review of research on outward foreign direct investment from emerging countries, including China: what do we know, how do we know and where should we be heading? Asia Pacific Business Review, 24(1), 90–115. doi:10.1080/13602381.2017.1357316.

Hao, A. W., Paul, J., Trott, S., Guo, C., & Wu, H. H. (2021). Two decades of research on nation branding: a review and future research agenda. International Marketing Review, 38(1), 46–69. doi:10.1108/IMR-01-2019-0028.

Khatoon, S., & Rehman, V. (2021). Negative emotions in consumer brand relationship: A review and future research agenda. International Journal of Consumer Studies, 45(4), 719–749. doi:10.1111/ijcs.12665.

Paul, J., & Criado, A. R. (2020). The art of writing literature review: What do we know and what do we need to know? International Business Review, 29(4), 101717. doi:10.1016/j.ibusrev.2020.101717.

Kamboj, S., & Rahman, Z. (2015). Marketing capabilities and firm performance: literature review and future research agenda. International Journal of Productivity and Performance Management, 64(8), 1041–1067. doi:10.1108/IJPPM-08-2014-0117.

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Altman, D., Antes, G., ... & Tugwell, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (Chinese edition). Journal of Chinese Integrative Medicine, 7(9), 889-896. doi:10.3736/jcim20090918.

Watson, R. T. (2015). Beyond being systematic in literature reviews in IS. Journal of Information Technology, 30(2), 185–187. doi:10.1057/jit.2015.12.

Bastian, H., Glasziou, P., & Chalmers, I. (2010). Seventy-five trials and eleven systematic reviews a day: How will we ever keep up? PLoS Medicine, 7(9), 1000326. doi:10.1371/journal.pmed.1000326.

Abbas, Z., Raza, S., & Ejaz, K. (2008). Systematic reviews and their role in evidence - informed health care. Journal of the Pakistan Medical Association, 58(10), 561–567.

Evans, D. (2003). Hierarchy of evidence: A framework for ranking evidence evaluating healthcare interventions. Journal of Clinical Nursing, 12(1), 77–84. doi:10.1046/j.1365-2702.2003.00662.x.

Boell, S. K., & Cecez-Kecmanovic, D. (2015). On being “systematic” in literature reviews in IS. Journal of Information Technology, 30(2), 161–173. doi:10.1057/jit.2014.26.

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. British Journal of Management, 14(3), 207–222. doi:10.1111/1467-8551.00375.

Ngai, E. W. T., & Wat, F. K. T. (2002). A literature review and classification of electronic commerce research. Information and Management, 39(5), 415–429. doi:10.1016/S0378-7206(01)00107-0.

Vilamovska, A.M., Hatziandreou, E., Schindler, R.H., Nassau, C.O., Vries, H., Krapelse, J. (2009). Study on the requirements and options for RFID application in healthcare Identifying areas for Radio Frequency Identification deployment in health care delivery: A review of relevant literature. TR-608-EC: RAND Corporation, California, United States. Available online: https://www.rand.org/pubs/technical_reports/TR608.html (accessed on May 2023).

Ali, O., Shrestha, A., Soar, J., & Wamba, S. F. (2018). Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review. International Journal of Information Management, 43, 146–158. doi:10.1016/j.ijinfomgt.2018.07.009.

Mabad, T., Ali, O., Ally, M., Wamba, S. F., & Chan, K. C. (2021). Making Investment Decisions on RFID Technology: An Evaluation of Key Adoption Factors in Construction Firms. IEEE Access, 9, 36937–36954. doi:10.1109/ACCESS.2021.3063301.

Beer, P., & Mulder, R. H. (2020). The effects of technological developments on work and their implications for continuous vocational education and training: A systematic review. Frontiers in Psychology, 11. doi:10.3389/fpsyg.2020.00918.

Golder, S., Loke, Y. K., & Zorzela, L. (2014). Comparison of search strategies in systematic reviews of adverse effects to other systematic reviews. Health Information and Libraries Journal, 31(2), 92–105. doi:10.1111/hir.12041.

Rosado-Serrano, A., Paul, J., & Dikova, D. (2018). International franchising: A literature review and research agenda. Journal of Business Research, 85, 238–257. doi:10.1016/j.jbusres.2017.12.049.

McLean, R., & Antony, J. (2014). Why continuous improvement initiatives fail in manufacturing environments? A systematic review of the evidence. International Journal of Productivity and Performance Management, 63(3), 370–376. doi:10.1108/IJPPM-07-2013-0124.

Wohlin, C. (2014). Guidelines for snowballing in systematic literature studies and a replication in software engineering. ACM International Conference Proceeding Series, 1–10. doi:10.1145/2601248.2601268.

Hu, Y., & Bai, G. (2014). A Systematic Literature Review of Cloud Computing in e-health. Health Informatics - An International Journal, 3(4), 11–20. doi:10.5121/hiij.2014.3402.

Zhang, H., Xu, X., & Xiao, J. (2014). Diffusion of e-government: A literature review and directions for future directions. Government Information Quarterly, 31(4), 631–636. doi:10.1016/j.giq.2013.10.013.

Pucher, K. K., Boot, N. M.W.M., & de Vries, N. K. (2013). Systematic review: School health promotion interventions targeting physical activity and nutrition can improve academic performance in primary- and middle school children. Health Education, 113(5), 372–391. doi:10.1108/HE-02-2012-0013.

Sadoughi, F., Ali, O., & Erfannia, L. (2020). Evaluating the factors that influence cloud technology adoption—comparative case analysis of health and non-health sectors: A systematic review. Health Informatics Journal, 26(2), 1363–1391. doi:10.1177/1460458219879340.

Shea, B. J., Grimshaw, J. M., Wells, G. A., Boers, M., Andersson, N., Hamel, C., Porter, A. C., Tugwell, P., Moher, D., & Bouter, L. M. (2007). Development of AMSTAR: A measurement tool to assess the methodological quality of systematic reviews. BMC Medical Research Methodology, 7(1), 10. doi:10.1186/1471-2288-7-10.

Spanos, G., & Angelis, L. (2016). The impact of information security events to the stock market: A systematic literature review. Computers and Security, 58, 216–229. doi:10.1016/j.cose.2015.12.006.

Ali, O., Jaradat, A., Kulakli, A., & Abuhalimeh, A. (2021). A Comparative Study: Blockchain Technology Utilization Benefits, Challenges and Functionalities. IEEE Access, 9, 12730–12749. doi:10.1109/ACCESS.2021.3050241.

Marler, J. H., & Liang, X. (2012). Information technology change, work complexity and service jobs: A contingent perspective. New Technology, Work and Employment, 27(2), 133–146. doi:10.1111/j.1468-005X.2012.00280.x.

Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company, New York, United States.

Walden, J. A. (2016). Integrating Social Media into the Workplace: A Study of Shifting Technology Use Repertoires. Journal of Broadcasting and Electronic Media, 60(2), 347–363. doi:10.1080/08838151.2016.1164163.

Körner, U., Müller-Thur, K., Lunau, T., Dragano, N., Angerer, P., & Buchner, A. (2019). Perceived stress in human–machine interaction in modern manufacturing environments—Results of a qualitative interview study. Stress and Health, 35(2), 187–199. doi:10.1002/smi.2853.

Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly: Management Information Systems, 35(4), 831–858. doi:10.2307/41409963.

Tranvik, T., & Bråten, M. (2017). The visible employee - Technological governance and control of the mobile workforce. Management Revue, 28(3), 319–337. doi:10.5771/0935-9915-2017-3-319-337.

Bordi, L., Okkonen, J., Mäkiniemi, J. P., & Heikkilä-Tammi, K. (2018). Communication in the digital work environment: Implications for wellbeing at work. Nordic Journal of Working Life Studies, 8(3), 29–48. doi:10.18291/njwls.v8iS3.105275.

Chow, S. K. Y., Chin, W. Y., Lee, H. Y., Leung, H. C., & Tang, F. H. (2012). Nurses’ perceptions and attitudes towards computerisation in a private hospital. Journal of Clinical Nursing, 21(11–12), 1685–1696. doi:10.1111/j.1365-2702.2011.03905.x.

Ninaus, K., Diehl, S., Terlutter, R., Chan, K., Huang, A., & Erlandsson, S. (2015). Benefits and stressors - Perceived effects of ICT use on employee health and work stress: An exploratory study from Austria and Hong Kong. International Journal of Qualitative Studies on Health and Well-Being, 10(1), 28838. doi:10.3402/qhw.v10.28838.

Zubrycki, I., & Granosik, G. (2016). Understanding Therapists’ Needs and Attitudes towards Robotic Support. The Roboterapia Project. International Journal of Social Robotics, 8(4), 553–563. doi:10.1007/s12369-016-0372-9.

Findlay, P., Lindsay, C., McQuarrie, J., Bennie, M., Corcoran, E. D., & Van Der Meer, R. (2017). Employer Choice and Job Quality: Workplace Innovation, Work Redesign, and Employee Perceptions of Job Quality in a Complex Health-Care Setting. Work and Occupations, 44(1), 113–136. doi:10.1177/0730888416678038.

Towers, I., Duxbury, L., Higgins, C., & Thomas, J. (2006). Time thieves and space invaders: Technology, work and the organization. Journal of Organizational Change Management, 19(5), 593–618. doi:10.1108/09534810610686076.

Holden, R. J., Rivera-Rodriguez, A. J., Faye, H., Scanlon, M. C., & Karsh, B. T. (2013). Automation and adaptation: Nurses’ problem-solving behavior following the implementation of bar-coded medication administration technology. Cognition, Technology and Work, 15(3), 283–296. doi:10.1007/s10111-012-0229-4.

Chen, W., & McDonald, S. (2015). Do Networked Workers Have More Control? The Implications of Teamwork, Telework, ICTs, and Social Capital for Job Decision Latitude. American Behavioral Scientist, 59(4), 492–507. doi:10.1177/0002764214556808.

van Zoonen, W., & Rice, R. E. (2017). Paradoxical implications of personal social media use for work. New Technology, Work and Employment, 32(3), 228–246. doi:10.1111/ntwe.12098.

Govaerts, R., De Bock, S., Stas, L., El Makrini, I., Habay, J., Van Cutsem, J., Roelands, B., Vanderborght, B., Meeusen, R., & De Pauw, K. (2023). Work performance in industry: The impact of mental fatigue and a passive back exoskeleton on work efficiency. Applied Ergonomics, 110, 104026. doi:10.1016/j.apergo.2023.104026.

Card, D., & DiNardo, J. E. (2002). Skill-biased technological change and rising wage inequality: Some problems and puzzles. Journal of Labor Economics, 20(4), 733–783. doi:10.1086/342055.

Baartman, L. K. J., & De Bruijn, E. (2011). Integrating knowledge, skills and attitudes: Conceptualising learning processes towards vocational competence. Educational Research Review, 6(2), 125–134. doi:10.1016/j.edurev.2011.03.001.

Calitz, A. P., Poisat, P., & Cullen, M. (2017). The future African workplace: The use of collaborative robots in manufacturing. SA Journal of Human Resource Management, 15(1), 1-11. doi:10.4102/sajhrm.v15i0.901.

Gekara, V. O., & Thanh Nguyen, V. X. (2018). New technologies and the transformation of work and skills: a study of computerisation and automation of Australian container terminals. New Technology, Work and Employment, 33(3), 219–233. doi:10.1111/ntwe.12118.

Dvash, A., & Mannheim, B. (2001). Technological coupling, job characteristics and operators’ well-being as moderated by desirability of control. Behaviour and Information Technology, 20(3), 225–236. doi:10.1080/01449290110044768.

James, K. L., Barlow, D., Bithell, A., Hiom, S., Lord, S., Oakley, P., Pollard, M., Roberts, D., Way, C., & Whittlesea, C. (2013). The impact of automation on pharmacy staff experience of workplace stressors. International Journal of Pharmacy Practice, 21(2), 105–116. doi:10.1111/j.2042-7174.2012.00231.x.

Gough, R., Ballardie, R., & Brewer, P. (2014). New technology and nurses. Labour & Industry, 24(1), 9–25. doi:10.1080/10301763.2013.877118.

Chau, P. Y. K., & Hu, P. J. H. (2002). Investigating healthcare professionals’ decisions to accept telemedicine technology: An empirical test of competing theories. Information and Management, 39(4), 297–311. doi:10.1016/S0378-7206(01)00098-2.

Burns, T., & Stalker, G. M. (1994). The Management of Innovation. The Management of Innovation. Oxford University Press, Oxford, United States. doi:10.1093/acprof:oso/9780198288787.001.0001.

Kulkov, I. (2021). The role of artificial intelligence in business transformation: A case of pharmaceutical companies. Technology in Society, 66, 101629. doi:10.1016/j.techsoc.2021.101629.

Blauner, R. (1964). Alienation and Freedom: The Factory Worker and His Industry. University of Chicago Press, Chicago, United States.

Griffith, T. L. (1999). Technology Features as Triggers for Sensemaking. The Academy of Management Review, 24(3), 472. doi:10.2307/259137.

Palmatier, R. W., Houston, M. B., & Hulland, J. (2018). Review articles: purpose, process, and structure. Journal of the Academy of Marketing Science, 46(1), 1–5. doi:10.1007/s11747-017-0563-4.

Huang, Y., Schuehle, J., Porter, A. L., & Youtie, J. (2015). A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’ Scientometrics, 105(3), 2005–2022. doi:10.1007/s11192-015-1638-y.


Full Text: PDF

DOI: 10.28991/HIJ-2023-04-03-014

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Mujtaba M. Momin, Omar Ali