This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Ahsanullah, S.S., Kamil, M., & Muzafar, K. (2006). Understanding factors influencing user experience of interactive systems: A literature review. ARPN Journal of Engineering and Applied Sciences (JEAS), 10, 18175–18185.AhsanullahS.S.KamilM.MuzafarK. (2006). Understanding factors influencing user experience of interactive systems: A literature review. ARPN Journal of Engineering and Applied Sciences (JEAS), 10, 18175–18185.Search in Google Scholar
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.AliO.ShresthaA.SoarJ.WambaS.F. (2018). Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review. International Journal of Information Management, 43, 146–158.Search in Google Scholar
Aredal, M., & Cianciotta, C. (2019). Robotization as a driver of increased labour productivity and economic convergence or divergence in the European Union. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264226AredalM.CianciottaC. (2019). Robotization as a driver of increased labour productivity and economic convergence or divergence in the European Union. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264226Search in Google Scholar
Atanasoff, L., & Venable, M.A. (2017). Technostress: Implications for adults in the workforce. The Career Development Quarterly, 65(4), 326–338.AtanasoffL.VenableM.A. (2017). Technostress: Implications for adults in the workforce. The Career Development Quarterly, 65(4), 326–338.Search in Google Scholar
Berente, N., Gu, B., Recker, J., & Santhanam, R. (2019). Managing AI. MIS Quarterly, 45(3), 1433–1450. DOI: 10.25300/MISQ/2021/16274BerenteN.GuB.ReckerJ.SanthanamR. (2019). Managing AI. MIS Quarterly, 45(3), 1433–1450. DOI: 10.25300/MISQ/2021/16274Open DOISearch in Google Scholar
Bloomberg. (2021). Agtech Booms as Investors Target Climate-Friendly Technology. Retrieved from https://www.bloomberg.com/news/ar-ticles/2021-12-09/agtech-booms-as-investors-target-climate-friendly-technologyBloomberg.(2021). Agtech Booms as Investors Target Climate-Friendly Technology. Retrieved from https://www.bloomberg.com/news/ar-ticles/2021-12-09/agtech-booms-as-investors-target-climate-friendly-technologySearch in Google Scholar
Bondanini, G., Giorgi, G., Ariza-Montes, A., Vega-Muñoz, A., & Andreucci-Annunziata, P. (2020). Technostress dark side of technology in the workplace: A Scientometric analysis. International Journal of Environmental Research and Public Health, 17(21), 8013. https://doi.org/10.3390/ijerph17218013BondaniniG.GiorgiG.Ariza-MontesA.Vega-MuñozA.Andreucci-AnnunziataP. (2020). Technostress dark side of technology in the workplace: A Scientometric analysis. International Journal of Environmental Research and Public Health, 17(21), 8013. https://doi.org/10.3390/ijerph17218013Search in Google Scholar
Borges, A.F., Laurindo, F.J., Spínola, M.M., Gonçalves, R.F., & Mattos, C.A. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, 57, 102225.BorgesA.F.LaurindoF.J.SpínolaM.M.GonçalvesR.F.MattosC.A. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, 57, 102225.Search in Google Scholar
Brod, C. (1984). Technostress: The human cost of the computer revolution. Reading, MA, USA: Addison-Wesley.BrodC.(1984). Technostress: The human cost of the computer revolution. Reading, MA, USA: Addison-Wesley.Search in Google Scholar
Campbell, C., Sands, S., Ferraro, C., Tsao, H.Y.J., & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business Horizons, 63(2), 227–243.CampbellC.SandsS.FerraroC.TsaoH.Y.J.MavrommatisA. (2020). From data to action: How marketers can leverage AI. Business Horizons, 63(2), 227–243.Search in Google Scholar
Chandra, S., Shirish, A., & Srivastava, S.C. (2019). Does technostress inhibit employee innovation? Examining the linear and curvilinear influence of technostress creators. Communications of the Association for Information Systems, 44, 299–331.ChandraS.ShirishA.SrivastavaS.C. (2019). Does technostress inhibit employee innovation? Examining the linear and curvilinear influence of technostress creators. Communications of the Association for Information Systems, 44, 299–331.Search in Google Scholar
Chandirasekaran, G., Arokiaraj, D., & Jebasingh, D. (2022). Digital transformation: Artificial intelligence based product benefits and problems of Agritech industry. In, Agri-Food 4.0: Innovations, Challenges and Strategies (pp.141–163). Emerald Group Publishing. DOI: 10.1108/S1877-636120220000027010ChandirasekaranG.ArokiarajD.JebasinghD. (2022). Digital transformation: Artificial intelligence based product benefits and problems of Agritech industry. In, Agri-Food 4.0: Innovations, Challenges and Strategies(pp.141–163). Emerald Group Publishing. DOI: 10.1108/S1877-636120220000027010Open DOISearch in Google Scholar
Chi, M., Huang, R., & George, J.F. (2020). Collaboration in demand-driven supply chain: Based on a perspective of governance and IT-business strategic alignment. International Journal of Information Management, 52, Article 102062.ChiM.HuangR.GeorgeJ.F. (2020). Collaboration in demand-driven supply chain: Based on a perspective of governance and IT-business strategic alignment. International Journal of Information Management, 52, Article 102062.Search in Google Scholar
Collins, C., Dennehy, D., Conboy, K., & Mikalef, P. (2021). Artificial intelligence in information systems research: A systematic literature review and research agenda. International Journal of Information Management, 60, 102383.CollinsC.DennehyD.ConboyK.MikalefP. (2021). Artificial intelligence in information systems research: A systematic literature review and research agenda. International Journal of Information Management, 60, 102383.Search in Google Scholar
Coombs, C. (2020). Will COVID-19 be the tipping point for the intelligent automation of work? A review of the debate and implications for research. International Journal of Information Management, 55, Article 102182.CoombsC. (2020). Will COVID-19 be the tipping point for the intelligent automation of work? A review of the debate and implications for research. International Journal of Information Management, 55, Article 102182.Search in Google Scholar
Dejoux, C., & Leon, E. (2018). Metamorphose des Managers (1st ed.). Paris: Pearson Education France.DejouxC.LeonE.(2018). Metamorphose des Managers (1st ed.). Paris: Pearson Education France.Search in Google Scholar
Dennehy, D. (2020). Ireland post-pandemic: Utilizing AI to kick-start economic recovery. Cutter Business Technology Journal, 33(11), 22–27.DennehyD. (2020). Ireland post-pandemic: Utilizing AI to kick-start economic recovery. Cutter Business Technology Journal, 33(11), 22–27.Search in Google Scholar
Dragano, N., & Lunau, T. (2020). Technostress at work and mental health: concepts and research results. Current Opinion in Psychiatry, 33(4), 407–413. doi: 10.1097/YCO.0000000000000613DraganoN.LunauT. (2020). Technostress at work and mental health: concepts and research results. Current Opinion in Psychiatry, 33(4), 407–413. DOI: 10.1097/YCO.0000000000000613Open DOISearch in Google Scholar
Duan, Y., Edwards, J.S., & Dwivedi, Y.K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71.DuanY.EdwardsJ.S.DwivediY.K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71.Search in Google Scholar
Dwivedi, Y.K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., … Medaglia, R. (2021). Artificial Intelligence (AI): multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, Article 101994.DwivediY.K.HughesL.IsmagilovaE.AartsG.CoombsC.CrickT.MedagliaR. (2021). Artificial Intelligence (AI): multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, Article 101994.Search in Google Scholar
Finstad, K. (2010). The usability metric for user experience. Interacting with Computers, 22, 323–327. DOI: 10.1016/j.intcom.2010.04.004.FinstadK. (2010). The usability metric for user experience. Interacting with Computers, 22, 323–327. DOI: 10.1016/j.intcom.2010.04.004.Open DOISearch in Google Scholar
Fischer, T., & Riedl, R. (2017). Technostress research: a nurturing ground for measurement pluralism? Communications of the Association for Information Systems, 40(17). https://doi.org/10.17705/1CAIS.04017FischerT.RiedlR. (2017). Technostress research: a nurturing ground for measurement pluralism?Communications of the Association for Information Systems, 40(17). https://doi.org/10.17705/1CAIS.04017Search in Google Scholar
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.FornellC.LarckerD.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.Search in Google Scholar
Gruber, M., Heinemann, F., Brettel, M., & Hungeling, S. (2010). Configurations of resources and capabilities and their performance implications: An exploratory study on technology ventures. Strategic Management Journal, 31(12), 1337–1356.GruberM.HeinemannF.BrettelM.HungelingS. (2010). Configurations of resources and capabilities and their performance implications: An exploratory study on technology ventures. Strategic Management Journal, 31(12), 1337–1356.Search in Google Scholar
Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.HairJ.F.BlackW.C.BabinB.J.AndersonR.E.(2010). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.Search in Google Scholar
Hart, J., Sutcliffe, A., & De Angeli, A. (2012). Evaluating user engagement theory. Conference: CHI 2012 Workshop ‘Theories behind UX research and how they are used in practice’. https://www.researchgate.net/publication/271524138_Evaluating_User_Engagement_TheoryHartJ.SutcliffeA.De AngeliA. (2012). Evaluating user engagement theory. Conference: CHI 2012 Workshop ‘Theories behind UX research and how they are used in practice’. https://www.researchgate.net/publication/271524138_Evaluating_User_Engagement_TheorySearch in Google Scholar
Hornbaek, K., & Hertzum. M. (2017). Technology acceptance and user experience: a review of the experiential component in HCI. ACM Transactions on Computer-Human Interaction, 24(5), Article 33, 30 pages. https://doi.org/10.1145/3127358HornbaekK.HertzumM. (2017). Technology acceptance and user experience: a review of the experiential component in HCI. ACM Transactions on Computer-Human Interaction, 24(5), Article 33, 30pages. https://doi.org/10.1145/3127358Search in Google Scholar
Hooper, D., Coughlan, J., & Mullen, M.R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53–60.HooperD.CoughlanJ.MullenM.R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53–60.Search in Google Scholar
Issa, H., & Bouchaib, B. (2018). Understanding the consequences of technostress: A non-linear perspective. ECIS Proceedings, ECIS2018, Research Papers 71. https://aisel.aisnet.org/ecis2018_rp/71IssaH.BouchaibB. (2018). Understanding the consequences of technostress: A non-linear perspective. ECIS Proceedings, ECIS2018, Research Papers 71. https://aisel.aisnet.org/ecis2018_rp/71Search in Google Scholar
Issa, H., Jabbouri, R., & Palmer, M. (2022). An artificial intelligence (AI)-readiness and adoption framework for AgriTech firms. Journal of Technological Forecasting & Social Change, 182, 121874, 1–17. https://doi.org/10.1016/j.techfore.2022.121874IssaH.JabbouriR.PalmerM. (2022). An artificial intelligence (AI)-readiness and adoption framework for AgriTech firms. Journal of Technological Forecasting & Social Change, 182, 121874, 1–17. https://doi.org/10.1016/j.techfore.2022.121874Search in Google Scholar
Kahn, W.A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692–724.KahnW.A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692–724.Search in Google Scholar
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizon, 62, 15–25.KaplanA.HaenleinM. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizon, 62, 15–25.Search in Google Scholar
Law, E., Roto, V., Hassenzahl, M., Vermeeren, A., & Kort, J. (2009). Understanding, scoping and defining user experience: A survey approach. CHI ‘09: CHI Conference on Human Factors in Computing Systems, Boston, MA. https://dl.acm.org/doi/10.1145/1518701.1518813LawE.RotoV.HassenzahlM.VermeerenA.KortJ. (2009). Understanding, scoping and defining user experience: A survey approach. CHI ‘09: CHI Conference on Human Factors in Computing Systems, Boston, MA. https://dl.acm.org/doi/10.1145/1518701.1518813Search in Google Scholar
Lezoche, M., Panetto, H., Kacprzyk, J., Hernandez, J.E., & Alemany Díaz, M.M.E. (2020). Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture. Computers in Industry, 89, 158–174. https://doi.org/10.1016/j.compind.2020.103187LezocheM.PanettoH.KacprzykJ.HernandezJ.E.Alemany DíazM.M.E. (2020). Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture. Computers in Industry, 89, 158–174. https://doi.org/10.1016/j.compind.2020.103187Search in Google Scholar
Longoni, C., Bonezzi, A., & Morewedge, C.K. (2019). Resistance to medical artificial intelligence. Journal of Consumer Research, 46(4), 629–650.LongoniC.BonezziA.MorewedgeC.K. (2019). Resistance to medical artificial intelligence. Journal of Consumer Research, 46(4), 629–650.Search in Google Scholar
Martínez-Córcoles, M., Teichmann, M., & Murdvee, M. (2017). Assessing technophobia and technophilia: development and validation of a questionnaire. Technology in Society, 51, 183–188.Martínez-CórcolesM.TeichmannM.MurdveeM. (2017). Assessing technophobia and technophilia: development and validation of a questionnaire. Technology in Society, 51, 183–188.Search in Google Scholar
McCarthy, J., & Wright, W. (2004). Technology as Experience. Interactions, MIT Press. DOI: 10.1145/1015530.1015549McCarthyJ.WrightW.(2004). Technology as Experience. Interactions, MIT Press. DOI: 10.1145/1015530.1015549Open DOISearch in Google Scholar
Miranda, J., Ponce, P., Molina, A., & Wright, P. (2019). Sensing, smart and sustainable technologies for Agri-Food 4.0. Computers in Industry, 108, 21–36. https://doi.org/10.1016/j.compind.2019.02.002MirandaJ.PonceP.MolinaA.WrightP. (2019). Sensing, smart and sustainable technologies for Agri-Food 4.0. Computers in Industry, 108, 21–36. https://doi.org/10.1016/j.compind.2019.02.002Search in Google Scholar
Mohammed, G. (2022). The impact of technostress on employees’ well- being: the role of work engagement and perceived supervisor support. International Journal of Science and Research (IJSR),11(1), 10. DOI: 10.21275/SR22117144703.MohammedG. (2022). The impact of technostress on employees’ well-being: the role of work engagement and perceived supervisor support. International Journal of Science and Research (IJSR),11(1), 10. DOI: 10.21275/SR22117144703.Open DOISearch in Google Scholar
Monett, D., & Lewis, C.W. (2018). Getting clarity by defining Artificial Intelligence - A Survey. In V. C. Müller (Ed.), Philosophy and theory of artificial intelligence (pp. 212–214). Berlin: Springer.MonettD.LewisC.W. (2018). Getting clarity by defining Artificial Intelligence - A Survey. In MüllerV. C. (Ed.), Philosophy and theory of artificial intelligence (pp. 212–214). Berlin: Springer.Search in Google Scholar
Nishant, R., Kennedy, M., & Corbertt, J. (2020). Artificial intelligence for sustainability: challenges, opportunities, and a research agenda. International Journal of Information Management, 53, 102104.NishantR.KennedyM.CorberttJ. (2020). Artificial intelligence for sustainability: challenges, opportunities, and a research agenda. International Journal of Information Management, 53, 102104.Search in Google Scholar
Norman, D.A. (2004). Emotional design: Why we love (or hate) everyday things. New York, NY: Basic Books.NormanD.A.(2004). Emotional design: Why we love (or hate) everyday things. New York, NY: Basic Books.Search in Google Scholar
Okolo, D., Kamarudin, S., & Ungku, A. (2013). An exploration of the relationship between technostress, employee engagement and job design from the Nigerian banking employee’s perspective. Management Dynamics in the Knowledge Economy, 6, 511-530. 10.25019/MDKE/6.4.01OkoloD.KamarudinS.UngkuA. (2013). An exploration of the relationship between technostress, employee engagement and job design from the Nigerian banking employee’s perspective. Management Dynamics in the Knowledge Economy, 6, 511-530. 10.25019/MDKE/6.4.01Open DOISearch in Google Scholar
Ongori, H., & Agolla, J.E. (2008). Occupational stress in organizations and its effects on organizational performance. Journal of Management Research, 8(3), 123–134.OngoriH.AgollaJ.E. (2008). Occupational stress in organizations and its effects on organizational performance. Journal of Management Research, 8(3), 123–134.Search in Google Scholar
Park, S. (2017). The fourth industrial revolution and implications for innovative cluster policies. AI & Society, 33(3), 433-445.ParkS. (2017). The fourth industrial revolution and implications for innovative cluster policies. AI & Society, 33(3), 433-445.Search in Google Scholar
Preacher, K. J., & Hayes, A.F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717–731.PreacherK. J.HayesA.F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717–731.Search in Google Scholar
Preacher, K.J., & Hayes, A.F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.PreacherK.J.HayesA.F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.Search in Google Scholar
Ragu-Nathan, T.S., Tarafdar, M., Ragu-Nathan, B.S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4) 417-433.Ragu-NathanT.S.TarafdarM.Ragu-NathanB.S.TuQ. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4) 417-433.Search in Google Scholar
Rather, R.A., & Hollebeek, L.D. (2021). Customers’ service-related engagement, experience, and behavioral intent: Moderating role of age. Journal of Retailing and Consumer Services, 60, 102453. DOI: 10.1016/j.jretconser.2021.102453RatherR.A.HollebeekL.D. (2021). Customers’ service-related engagement, experience, and behavioral intent: Moderating role of age. Journal of Retailing and Consumer Services, 60, 102453. DOI: 10.1016/j.jretconser.2021.102453Open DOISearch in Google Scholar
Sagnier, C., Loup-Escande, E., Lourdeaux, D., Thouvenin, I., & Valléry, G. (2020). User acceptance of virtual reality: An extended technology acceptance model. International Journal of Human–Computer Interaction. DOI: 10.1080/10447318.2019.1708612SagnierC.Loup-EscandeE.LourdeauxD.ThouveninI.ValléryG. (2020). User acceptance of virtual reality: An extended technology acceptance model. International Journal of Human–Computer Interaction. DOI: 10.1080/10447318.2019.1708612Open DOISearch in Google Scholar
Saks, A. (2006). Antecedents and consequences of employee engagement. Journal of Managerial Psychology, 21(7), 600–619.SaksA. (2006). Antecedents and consequences of employee engagement. Journal of Managerial Psychology, 21(7), 600–619.Search in Google Scholar
Schaufeli, W.B., & Salanova, M. (2007). Efficacy or inefficacy, that’s the question: burnout and work engagement, and their relationships with efficacy beliefs. Anxiety, Stress, and Coping, 20(2), 177–196.SchaufeliW.B.SalanovaM. (2007). Efficacy or inefficacy, that’s the question: burnout and work engagement, and their relationships with efficacy beliefs. Anxiety, Stress, and Coping, 20(2), 177–196.Search in Google Scholar
Shoukat M.H., & Ramkissoon, H. (2022). Customer delight, engagement, experience, value co-creation, place identity, and revisit intention: A new conceptual framework. Journal of Hospitality Marketing & Management. DOI: 10.1080/19368623.2022.2062692ShoukatM.H.RamkissoonH. (2022). Customer delight, engagement, experience, value co-creation, place identity, and revisit intention: A new conceptual framework. Journal of Hospitality Marketing & Management. DOI: 10.1080/19368623.2022.2062692Open DOISearch in Google Scholar
Spanaki, K., Sivarajah, U., Fakhimi, M. et al. (2022). Disruptive technologies in agricultural operations: A systematic review of AI-driven Agri-Tech research. Annals of Operations Research, 308, 491–524. https://doi.org/10.1007/s10479-020-03922-zSpanakiK.SivarajahU.FakhimiM. (2022). Disruptive technologies in agricultural operations: A systematic review of AI-driven Agri-Tech research. Annals of Operations Research, 308, 491–524. https://doi.org/10.1007/s10479-020-03922-zSearch in Google Scholar
Spiros, A. (2019). Mitigating technostress in new knowledge workers through perceived self-efficacy. University of Jyväskylä.SpirosA.(2019). Mitigating technostress in new knowledge workers through perceived self-efficacy. University of Jyväskylä.Search in Google Scholar
Srivastava, S.C., Chandra, S., & Shirish, A. (2015). Technostress creators and job outcomes: Theorising the moderating influence of personality traits. Information Systems Journal, 25, 355–401.SrivastavaS.C.ChandraS.ShirishA. (2015). Technostress creators and job outcomes: Theorising the moderating influence of personality traits. Information Systems Journal, 25, 355–401.Search in Google Scholar
Soni, N., Sharma, E.K., Singh, N., & Kapoorc, A. (2020). Artificial intelligence in business: from research and innovation to market deployment. Procedia Computer Science, 167, 2200–2210.SoniN.SharmaE.K.SinghN.KapoorcA. (2020). Artificial intelligence in business: from research and innovation to market deployment. Procedia Computer Science, 167, 2200–2210.Search in Google Scholar
Szollosy, M. (2015). Why are we afraid of robots? The role of projection in the popular conception of robots. In Beyond artificial intelligence (pp. 121–131). Berlin: Springer.SzollosyM. (2015). Why are we afraid of robots? The role of projection in the popular conception of robots. In Beyond artificial intelligence (pp. 121–131). Berlin: Springer.Search in Google Scholar
Tarafdar, M., Tu, Q., Ragu-Nathan, B.S., & Ragu-Nathan, T.S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301–328.TarafdarM.TuQ.Ragu-NathanB.S.Ragu-NathanT.S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301–328.Search in Google Scholar
Tarafdar, M., Tu, Q., Ragu-Nathan, T.S., & Ragu-Nathan, B.S. (2011). Crossing to the dark side: examining creators, outcomes, and inhibitors of technostress. Communications of the ACM, 54(9), 113–120.TarafdarM.TuQ.Ragu-NathanT.S.Ragu-NathanB.S. (2011). Crossing to the dark side: examining creators, outcomes, and inhibitors of technostress. Communications of the ACM, 54(9), 113–120.Search in Google Scholar
Tarafdar, M., Pullins, E., Ragu-Nathan, T.S. (2014). Examining impacts of technostress on the professional salesperson’s behavioural performance. Journal of Personal Selling Sales Management, 34(1), 51–69.TarafdarM.PullinsE.Ragu-NathanT.S. (2014). Examining impacts of technostress on the professional salesperson’s behavioural performance. Journal of Personal Selling Sales Management, 34(1), 51–69.Search in Google Scholar
Tarafdar, M., Pullins, E.B., & Ragu-Nathan, T.S. (2015). Technostress: negative effect on performance and possible mitigations. Information Systems Journal, 25(2),103–132.TarafdarM.PullinsE.B.Ragu-NathanT.S. (2015). Technostress: negative effect on performance and possible mitigations. Information Systems Journal, 25(2),103–132.Search in Google Scholar
The Business Times. (2019). Urban Singapore’s Agritech Role Lies in SE Asia’s 71m Small Farms. Retrieved from https://www.businesstimes.com.sg/garage/urban-singapore%E2%80%99s-agritech-role-lies-in-se-asia%E2%80%99s-71m-small-farmsThe Business Times.(2019). Urban Singapore’s Agritech Role Lies in SE Asia’s 71m Small Farms. Retrieved from https://www.businesstimes.com.sg/garage/urban-singapore%E2%80%99s-agritech-role-lies-in-se-asia%E2%80%99s-71m-small-farmsSearch in Google Scholar
Tims, M., Bakker, A.B., & Derks, D. (2013). The impact of job crafting on job demands, job resources, and well-being. Journal of occupational health psychology, 18(2), 230–240.TimsM.BakkerA.B.DerksD. (2013). The impact of job crafting on job demands, job resources, and well-being. Journal of occupational health psychology, 18(2), 230–240.Search in Google Scholar
Truss, C., Shantz, A., Soane, E., Alfes, K., & Delbridge, R. (2013). Employee engagement, organisational performance and individual well-being: exploring the evidence, developing the theory. The International Journal of Human Resource Management, 24(14), 2657–2669.TrussC.ShantzA.SoaneE.AlfesK.DelbridgeR. (2013). Employee engagement, organisational performance and individual well-being: exploring the evidence, developing the theory. The International Journal of Human Resource Management, 24(14), 2657–2669.Search in Google Scholar
Turel, O., & Gaudioso, F. (2018). Techno-stressors, distress and strain: the roles of leadership and competitive climates. Cognition Technology & Work, 20(2), 309–324.TurelO.GaudiosoF. (2018). Techno-stressors, distress and strain: the roles of leadership and competitive climates. Cognition Technology & Work, 20(2), 309–324.Search in Google Scholar
Van Doorn, J., Lemon, K.N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P.C. (2010). Customer engagement behavior: theoretical foundations and research directions. Journal of Service Research, 13(3), 253–266.Van DoornJ.LemonK.N.MittalV.NassS.PickD.PirnerP.VerhoefP.C. (2010). Customer engagement behavior: theoretical foundations and research directions. Journal of Service Research, 13(3), 253–266.Search in Google Scholar
Vayre, E., & Vonthron, A.M. (2019). Identifying work-related internet’s uses—at work and outside usual workplaces and hours—and their relationships with work–home interface, work engagement, and problematic internet behavior. Frontiers in Psychology, 10, 2118.VayreE.VonthronA.M. (2019). Identifying work-related internet’s uses—at work and outside usual workplaces and hours—and their relationships with work–home interface, work engagement, and problematic internet behavior. Frontiers in Psychology, 10, 2118.Search in Google Scholar
Velnampy, T., & Aravinthan, S.A. (2013). Occupational stress and organizational commitment in private banks: a Sri Lankan experience. European Journal of Business and Management, 5(7), 254–267.VelnampyT.AravinthanS.A. (2013). Occupational stress and organizational commitment in private banks: a Sri Lankan experience. European Journal of Business and Management, 5(7), 254–267.Search in Google Scholar
Wirth, N. (2018). Hello marketing, what can artificial intelligence help you with. International Journal of Market Research, 60(5), 435–438.WirthN. (2018). Hello marketing, what can artificial intelligence help you with. International Journal of Market Research, 60(5), 435–438.Search in Google Scholar
Wolfe, A. (1991). Mind, self, society, and computer: artificial intelligence and the sociology of mind. American Journal of Sociology, 96(5), 1073–1096.WolfeA. (1991). Mind, self, society, and computer: artificial intelligence and the sociology of mind. American Journal of Sociology, 96(5), 1073–1096.Search in Google Scholar
Yahya, N. (2018). Agricultural 4.0: Its implementation toward future sustainability. In: Green urea. Green energy and technology. Singapore: Springer https://doi.org/10.1007/978-981-10-7578-0_5YahyaN. (2018). Agricultural 4.0: Its implementation toward future sustainability. In: Green urea. Green energy and technology. Singapore: Springerhttps://doi.org/10.1007/978-981-10-7578-0_5Search in Google Scholar
Yusoff, M.S.B., Esa, A.R., Mat Pa, M.N., Mey, S.C., & Aziz, R.A. (2013). A longitudinal study of relationships between previous academic achievement, emotional intelligence and personality traits with psychological health of medical students during stressful periods. Education for Health, 26(1), 39–47.YusoffM.S.B.EsaA.R.Mat PaM.N.MeyS.C.AzizR.A. (2013). A longitudinal study of relationships between previous academic achievement, emotional intelligence and personality traits with psychological health of medical students during stressful periods. Education for Health, 26(1), 39–47.Search in Google Scholar
Zardari, B.A., Hussain, Z., Arain, A.A., Rizvi, W.H., & Vighio, M.S. (2021). Development and validation of user experience-based e-learning acceptance model for sustainable higher education. Sustainability, 13, 6201. https://doi.org/10.3390/su13116201ZardariB.A.HussainZ.ArainA.A.RizviW.H.VighioM.S. (2021). Development and validation of user experience-based e-learning acceptance model for sustainable higher education. Sustainability, 13, 6201. https://doi.org/10.3390/su13116201Search in Google Scholar