• No results found

Literature

In document A New Way of Working: (pagina 57-67)

PERMANENT POSITION

7. Literature

Acemoglu, D., & Restrepo, P. (2017). Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation. American Economic Review, 107(5), 174–179.

https://doi.org/10.1257/aer.p20171101

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-t

Alsheibani, S., Cheung, Y., & Messom, C. (2019, 15 June). Towards An Artificial

Intelligence Maturity Model: From Science on Science Fiction To Business Facts. Pacific Asia Conference on Information Systems (PACIS).

https://core.ac.uk/download/pdf/301391799.pdf

Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behavior, 114, 106548.

https://doi.org/10.1016/j.chb.2020.106548

Araujo, T., Helberger, N., Kruikemeier, S., & de Vreese, C. H. (2020). In AI we trust?

Perceptions about automated decision-making by artificial intelligence. AI & SOCIETY, 35(3), 611–623. https://doi.org/10.1007/s00146-019-00931-w

Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., Chatila, R., & Herrera, F. (2020).

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82–115.

https://doi.org/10.1016/j.inffus.2019.12.012

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

58 research directions. International Journal of Information Management, 57, 102225.

https://doi.org/10.1016/j.ijinfomgt.2020.102225

Brill, T. M., Munoz, L., & Miller, R. J. (2019). Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications. Journal of Marketing Management, 35(15–16), 1401–1436. https://doi.org/10.1080/0267257x.2019.1687571

Burgess, A. (2018). The Executive Guide to Artificial Intelligence. Springer Publishing.

Centraal Bureau voor de Statistiek. (2020, 26 November). Dashboard beroepsbevolking.

https://www.cbs.nl/nl-nl/visualisaties/dashboard-beroepsbevolking

Chau, P. Y. K., & Hu, P. J.-H. (2002). Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Information &

Management, 39(4), 297–311. https://doi.org/10.1016/s0378-7206(01)00098-2

Cooper, R. B., & Zmud, R. W. (1990). Information Technology Implementation Research: A Technological Diffusion Approach. Management Science, 36(2), 123–139.

https://doi.org/10.1287/mnsc.36.2.123

Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96 (1), 108-116.

https://www.kungfu.ai/wp-content/uploads/2019/01/R1801H-PDF-ENG.pdf

de Meijer, C., Wouterse, B., Polder, J., & Koopmanschap, M. (2013). The effect of population aging on health expenditure growth: a critical review. European Journal of Ageing, 10(4), 353–361. https://doi.org/10.1007/s10433-013-0280-x

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

59 Journal of Information Management, 48, 63–71.

https://doi.org/10.1016/j.ijinfomgt.2019.01.021

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … 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. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

Field, A. (2018). Discovering Statistics using IBM SPSS Statistics 5e + SPSS 24 (5th edition). SAGE Publications.

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018).

AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689–707.

https://doi.org/10.1007/s11023-018-9482-5

Fountaine, T., McCarthy B., Saleh, T., (2019, June). Building the AI-Powered Organization.

Harvard Business Review.

https://hbr.org/2019/07/building-the-ai-powered-organizationBurgess, A. (2018). The Executive Guide to Artificial Intelligence. Palgrave.

Gee, K. (2017, 26 June). In Unilever’s Radical Hiring Experiment, Resumes Are Out, Algorithms Are In. WSJ. https://www.wsj.com/articles/in-unilevers-radical-hiring-experiment-resumes-are-out-algorithms-are-in-1498478400

60 Green, S. B. (1991). How Many Subjects Does It Take To Do A Regression Analysis.

Multivariate Behavioral Research, 26(3), 499–510.

https://doi.org/10.1207/s15327906mbr2603_7

Güngör, H. (2020). Creating Value with Artificial Intelligence: A Multi-stakeholder Perspective. Journal of Creating Value, 6(1), 72–85.

https://doi.org/10.1177/2394964320921071

Guszcza, J., Evans-Greenwood, P., & Lewis, H. (2017, 23 January). Cognitive collaboration:

Why humans and computers think better together. ResearchGate.

https://www.researchgate.net/publication/321016460_Cognitive_collaboration_Why_humans _and_computers_think_better_together

Hayes, AF. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis. A Regression-Based Approach. The Guilford Press

Hengstler, M., Enkel, E., & Duelli, S. (2016). Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices. Technological Forecasting and Social Change, 105, 105–120. https://doi.org/10.1016/j.techfore.2015.12.014

Hofstede, G., & Bond, M. H. (1984). Hofstede’s Culture Dimensions. Journal of Cross-Cultural Psychology, 15(4), 417–433. https://doi.org/10.1177/0022002184015004003

Holloway, C., & Hand, H. H. (1988). Who’s running the store, anyway? Artificial intelligence!!! Business Horizons, 31(2), 70–76. https://doi.org/10.1016/0007-6813(88)90084-5

61 Jones, C. M., McCarthy, R. V., Halawi, L., & Mujtaba, B. (2010). Utilizing the Technology acceptance model to assess the employee adoption of information systems security measures.

Issues In Information Systems, 11 (1), 9–16. https://doi.org/10.48009/1_iis_2010_9-16

Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2017, July). Achieving Digital Maturity. MIT Sloan Management Review and Deloitte University. https://www.the- digital-insurer.com/wp-content/uploads/2017/11/1105-59180-MITSMR-Deloitte-Digital-Report-2017.pdf

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 Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004

Khatri, N., Fern, C. T., & Budhwar, P. (2001). Explaining employee turnover in an Asian context. Human Resource Management Journal, 11(1), 54–74. https://doi.org/10.1111/j.1748-8583.2001.tb00032.x

Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based Adoption of Mobile Internet: An empirical investigation. Decision Support Systems, 43(1), 111–126.

https://doi.org/10.1016/j.dss.2005.05.009

Kleinnijenhuis, J. (2020, 11 May). Belastingdienst erkent: toch sprake van etnisch profileren.

Trouw. https://www.trouw.nl/nieuws/belastingdienst-erkent-toch-sprake-van-etnisch-profileren~b91d1a45/?referrer=https%3A%2F%2Fwww.google.com%2F

Kreutzer, R. T., & Sirrenberg, M. (2019). Understanding Artificial Intelligence:

Fundamentals, Use Cases and Methods for a Corporate AI Journey (Management for Professionals) (1st ed. 2020 edition). Springer.

62 Lapointe, L., & Rivard, S. (2005). A Multilevel Model of Resistance to Information

Technology Implementation. MIS Quarterly, 29(3), 461. https://doi.org/10.2307/25148692

Lee, J. D., & See, K. A. (2004). Trust in Automation: Designing for Appropriate Reliance.

Human Factors: The Journal of the Human Factors and Ergonomics Society, 46(1), 50–80.

https://doi.org/10.1518/hfes.46.1.50_30392

Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003). The Technology Acceptance Model: Past, Present, and Future. Communications of the Association for Information Systems, 12, 752–

780. https://doi.org/10.17705/1cais.01250

Lewis, M., Yarats, D., Dauphin, Y. N., Parikh, D., & Batra, D. (2017, 16 June). Deal or No Deal? End-to-End Learning for Negotiation Dialogues. Cornell University.

https://arxiv.org/abs/1706.05125

Lichtenthaler, U. (2019). Extremes of acceptance: employee attitudes toward artificial intelligence. Journal of Business Strategy, 41(5), 39–45. https://doi.org/10.1108/jbs-12-2018-0204

Lichtenthaler, U. (2020). Five Maturity Levels of Managing AI: From Isolated Ignorance to Integrated Intelligence. Journal of Innovation Management, 8(1), 39–50.

https://doi.org/10.24840/2183-0606_008.001_0005

Luhmann, N., Davis, H., Raffan, J., Rooney, K., King, M., & Morgner, C. (2018). Trust and Power. Wiley.

Madsen, M., & Gregor, S. (2000). Measuring Human-Computer Trust. Proceedings of Eleventh Australasian Conference on InformationSystem, 6–8.

63 Markus, M. L. (1983). Power, politics, and MIS implementation. Communications of the ACM, 26(6), 430–444. https://doi.org/10.1145/358141.358148

Mathieson, K. (1991). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research, 2(3), 173–191.

https://doi.org/10.1287/isre.2.3.173

McClelland, G. H., Irwin, J. R., Disatnik, D., & Sivan, L. (2016). Multicollinearity is a red herring in the search for moderator variables: A guide to interpreting moderated multiple regression models and a critique of Iacobucci, Schneider, Popovich, and Bakamitsos (2016).

Behavior Research Methods, 49(1), 394–402. https://doi.org/10.3758/s13428-016-0785-2

McKinsey. (2020, November). The state of AI in 2020. McKinsey & Company.

https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/global-survey-the-state-of-ai-in-2020

Pal, D., Arpnikanondt, C., Funilkul, S., & Chutimaskul, W. (2020). The Adoption Analysis of Voice-Based Smart IoT Products. IEEE Internet of Things Journal, 7(11), 10852–10867.

https://doi.org/10.1109/jiot.2020.2991791

Peshkova. (2020). Intelligence Artificielle [Illustration]. Shutterstock.

https://www.lalibre.be/planete/sciences-espace/un-article-ecrit-par-un-robot-pour-nous-convaincre-que-les-robots-viennent-en-paix-5f58ecd19978e2322fae51b8

Repenning, N. P. (2000). Drive out Fear (Unless You Can Drive It in): The Role of Agency and Job Security in Process Improvement. Management Science, 46(11), 1385–1396.

https://doi.org/10.1287/mnsc.46.11.1385.12084

64 Sample Size Calculator. (2021, 3 March). Qualtrics.

https://www.qualtrics.com/blog/calculating-sample-size/

Schwartz, O. (2018, 31 October). “The discourse is unhinged”: how the media gets AI alarmingly wrong. the Guardian. https://www.theguardian.com/technology/2018/jul/25/ai-artificial-intelligence-social-media-bots-wrong

Shin, D. (2021). The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI. International Journal of Human-Computer Studies, 146, 102551. https://doi.org/10.1016/j.ijhcs.2020.102551

Smith, R. S. (1995). Giving credit where credit is due: Dorothy Swaine Thomas and the

“Thomas Theorem”. The American Sociologist, 26(4), 9–28.

https://doi.org/10.1007/bf02692352

Sohn, K., & Kwon, O. (2020). Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products. Telematics and Informatics, 47, 101324.

https://doi.org/10.1016/j.tele.2019.101324

Szollosy, M. (2016). Freud, Frankenstein and our fear of robots: projection in our cultural perception of technology. AI & Society, 32(3), 433–439. https://doi.org/10.1007/s00146-016-0654-7

Meyers, L. S. 2013. Performing data analysis using IBM SPSS(R). Hoboken: Wiley.

Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology:

Toward a Unified View. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540

65 Venkatesh, Thong, & Xu. (2012). Consumer Acceptance and Use of Information

Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412

Wan, G. H., & Che, P. (2004). Chinese Air Travelers’ Acceptance towards Electronic Ticketing. IEEE New York.

https://ieeexplore-ieee-org.proxy.uba.uva.nl:2443/stamp/stamp.jsp?tp=&arnumber=1407118

Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of Enterprise Information

Management, 28(3), 443–488. https://doi.org/10.1108/jeim-09-2014-0088

Wilson, M. (2018, 9 July). AI Is Inventing Languages Humans Can’t Understand. Should We Stop It? Fast Company. https://www.fastcompany.com/90132632/ai-is-inventing-its-own-perfect-languages-should-we-let-it

Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A.

(2018). Brave new world: service robots in the frontline. Journal of Service Management, 29(5), 907–931. https://doi.org/10.1108/josm-04-2018-0119

Yanyu, W. (2019). Debate on The Issue of “Whether AI Can Surpass Human”: An Analysis Based on the Historical Perspective *. 2019 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO), 227–234.

https://doi.org/10.1109/arso46408.2019.8948800

Yeatts, D. E., Folts, W. E., & James, K. (2000). Older workers’ adaptation to a changing workplace: employment issues for the 21ste century. Educational Gerontology, 26(6), 565–

582. https://doi.org/10.1080/03601270050133900

66 Zhu, Y.-Q., Corbett, J., & Chiu, Y.-T. (2020). Understanding employees’ responses to

artificial intelligence. Organizational Dynamics, 100786.

https://doi.org/10.1016/j.orgdyn.2020.100786

67

In document A New Way of Working: (pagina 57-67)