Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe
Open accessAbstract
This exploratory study explores perceptions of Artificial Intelligence (AI) and organizational readiness to adopt AI, in the exhibition sector of the events industry. A theoretical framework synthesizing the Technology - Organization - Environment framework and the Technology Readiness Index was developed to guide this qualitative study. Seventeen senior managerial representatives from exhibition organizations across nine Western European countries were interviewed, and a reflexive thematic approach was adopted to analyse the data. The findings suggest that the European exhibition industry is a slow adopter of AI, which may impact its future competitiveness, despite the stimulus provided to AI adoption during the COVID-19 pandemic. The degree of confidence in organizational technological practices, financial resources, the size of the organization, and issues of data management and protection, as well as the impacts of the COVID-19 pandemic, motivate or inhibit readiness for AI adoption in the event industry. A new Exhibition Sector Readiness for AI Adoption Model is presented in this research that managers and researchers can use to analyze inhibitors and motivations for AI adoption, which is contextualized for the current challenges facing the exhibitions sector.
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AI's perceived benefits diminish resistance to its adoption.
“It has been discovered that AI’s perceived benefits diminish resistance to its adoption (Hradecky et al., 2022).”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Hradecky et al., 2022
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Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works
Qualitative Data Analysis: A Methods Sourcebook
Miles, M. B., Huberman, A. M., & Saldaña, J. (1988) · Cited by 20,701 · see citing works
Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory
Wuetherick, B. (2010) · Canadian Journal of University Continuing Education · doi:10.21225/d5g01t · Cited by 8,327 · see citing works
Artificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research · doi:10.1177/1094670517752459 · Cited by 3,978 · see citing works
Parasuraman, A. (2000) · Journal of Service Research · doi:10.1177/109467050024001 · Cited by 3,328 · cited 1× · see citing works
“First presented by Parasuraman (2000), TRI refers to “people’s propensity to embrace and use new technologies for accomplishing goals in home life and at work” (Parasuraman & Colby, 2015 p.59).”
BackgroundBraun, V., & Clarke, V. (2021) · Counselling and Psychotherapy Research · doi:10.1002/capr.12360 · Cited by 3,198 · see citing works
How artificial intelligence will change the future of marketing
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00696-0 · Cited by 2,875 · see citing works
Haenlein, M., & Kaplan, A. (2019) · California Management Review · doi:10.1177/0008125619864925 · Cited by 2,655 · see citing works
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.021 · Cited by 2,628 · cited 2× · see citing works
“managing data and privacy when considering adopting AI technologies (Duan et al., 2019).”
BackgroundDrazin, R. (1991) · The Journal of Technology Transfer · doi:10.1007/bf02371446 · Cited by 2,122 · see citing works
The forthcoming artificial intelligence (AI) revolution: Its impact on society and firms
Makridakis, S. (2017) · Futures · doi:10.1016/j.futures.2017.03.006 · Cited by 1,866 · cited 3× · see citing works
“Participants also agreed that AI technology would increase efficiency, reduce cost, increase quality, improve visitor experiences, assist faster decision-making, and replace time-consuming activities (Davenport et al., 2019; Dhar, 2016; Grace et al., 2018; Makridakis, 2017).”
BackgroundQualitative Research Practice : A Guide for Social Science Students and Researchers
อรุณภาคย์, ก. (2012) · Journal of Social Sciences and Humanities Kasetsart University · Cited by 1,779 · see citing works
Mikalef, P., & Gupta, M. (2021) · Information & Management · doi:10.1016/j.im.2021.103434 · Cited by 1,700 · see citing works
Does Sample Size Matter in Qualitative Research?: A Review of Qualitative Interviews in is Research
Marshall, B., Cardon, P., Poddar, A., & Fontenot, R. (2013) · Journal of Computer Information Systems · doi:10.1080/08874417.2013.11645667 · Cited by 1,636 · see citing works
An Updated and Streamlined Technology Readiness Index: TRI 2.0
Parasuraman, A., & Colby, C. L. (2015) · Journal of Service Research · doi:10.1177/1094670514539730 · Cited by 1,440 · see citing works
Literature Review of Information Technology Adoption Models at Firm Level
(2011) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · Cited by 1,341 · see citing works
Mende, M., Scott, M. L., van Doorn, J., Grewal, D., & Shanks, I. (2019) · Journal of Marketing Research · doi:10.1177/0022243718822827 · Cited by 1,197 · see citing works
Tussyadiah, I. P. (2020) · Annals of Tourism Research · doi:10.1016/j.annals.2020.102883 · Cited by 1,184 · see citing works
Adoption of new information technologies in rural small businesses
Premkumar, G., & Roberts, M. (1999) · Omega · doi:10.1016/s0305-0483(98)00071-1 · Cited by 1,108 · see citing works
Understanding the determinants of RFID adoption in the manufacturing industry
Wang, Y.-M., Wang, Y.-S., & Yang, Y.-F. (2010) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2010.03.006 · Cited by 912 · see citing works
Mastering the semi-structured interview and beyond: from research design to analysis and publication
(2014) · Choice Reviews Online · doi:10.5860/choice.51-2430 · Cited by 860 · see citing works
Internet Communication and Qualitative Research: A Handbook for Researching Online
Mann, C., & Stewart, F. A. (2000) · Cited by 853 · see citing works
Reflexivity in qualitative research
Dodgson, J. E. (2019) · Journal of Human Lactation · doi:10.1177/0890334419830990 · Cited by 839 · see citing works
Collins, C., Dennehy, D., Conboy, K., & Mikalef, P. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102383 · Cited by 783 · see citing works
Ready or not, AI comes—an interview study of organizational AI readiness factors
Jöhnk, J., Weißert, M., & Wyrtki, K. (2021) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00676-7 · Cited by 637 · see citing works
Lokuge, S., Sedera, D., Grover, V., & Xu, D. (2018) · Information & Management · doi:10.1016/j.im.2018.09.001 · Cited by 482 · see citing works
A conceptual model for the process of IT innovation adoption in organizations
Hameed, M. A., Counsell, S., & Swift, S. (2012) · Journal of Engineering and Technology Management · doi:10.1016/j.jengtecman.2012.03.007 · Cited by 442 · see citing works
The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges
Nam, K.-C., Dutt, C. S., Chathoth, P. K., Daghfous, A., & Khan, M. S. (2020) · Electronic Markets · doi:10.1007/s12525-020-00442-3 · Cited by 426 · see citing works
Aboelmaged, M. G. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.05.002 · Cited by 355 · see citing works
Wang, Y., Li, H.-T., Li, C.-R., & Zhang, D.-Z. (2015) · Tourism Management · doi:10.1016/j.tourman.2015.09.021 · Cited by 351 · see citing works
Koo, B., Curtis, C., & Ryan, B. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102763 · Cited by 351 · see citing works
Ethical leadership and its impact on service innovative behavior: The role of LMX and job autonomy
Dhar, R. L. (2016) · Tourism Management · doi:10.1016/j.tourman.2016.05.011 · Cited by 318 · see citing works
Coombs, C., Hislop, D., Taneva, S. K., & Barnard, S. (2020) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2020.101600 · Cited by 301 · cited 1× · see citing works
“AI is additionally able to learn by repeating specific tasks, adapting and improving over time (Coombs et al., 2020).”
BackgroundExplore success factors that impact artificial intelligence adoption on telecom industry in China
Chen, H., Li, L., & Chen, Y. (2021) · Journal of Management Analytics · doi:10.1080/23270012.2020.1852895 · Cited by 300 · see citing works
Revisiting Bias in Qualitative Research: Reflections on Its Relationship With Funding and Impact
Galdas, P. (2017) · International Journal of Qualitative Methods · doi:10.1177/1609406917748992 · Cited by 299 · see citing works
Event Studies: Theory, Research and Policy for Planned Events
(2009) · Management Decision · doi:10.1108/00251740911004745 · Cited by 293 · see citing works
Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model
Yang, Z., Sun, J., Zhang, Y., & Wang, Y. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.12.022 · Cited by 269 · see citing works
Qualitative research: meanings or practices?
Silverman, D. G. (1998) · Information Systems Journal · doi:10.1046/j.1365-2575.1998.00002.x · Cited by 257 · see citing works
Enabling AI capabilities in government agencies: A study of determinants for European municipalities
Mikalef, P., Lemmer, K., Schaefer, C., Ylinen, M., Fjørtoft, S. O., Torvatn, H. Y., Gupta, M., & Niehaves, B. (2022) · Government Information Quarterly · doi:10.1016/j.giq.2021.101596 · Cited by 240 · see citing works
Artificial Intelligence: A Very Short Introduction
Boden, M. A. (2018) · Oxford University Press eBooks · doi:10.1093/actrade/9780199602919.001.0001 · Cited by 228 · see citing works
Zhang, D., Pee, L. G., & Cui, L. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102304 · Cited by 228 · cited 1× · see citing works
“, 2021) of a firm influence the adoption and implementation of AI, as well as the integration of AI with other organizational resources (Zhang et al., 2021).”
BackgroundMahroof, K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.11.008 · Cited by 223 · see citing works
Boyd, R., & Holton, R. J. (2017) · Journal of Sociology · doi:10.1177/1440783317726591 · Cited by 211 · see citing works
Vial, A., Stirling, D. A., Field, M., Ros, M., Ritz, C. H., Carolan, M., Holloway, L. C., & Miller, A. (2018) · Translational Cancer Research · doi:10.21037/tcr.2018.05.02 · Cited by 207 · see citing works
(2018) · Monash University Research Portal (Monash University) · Cited by 174 · see citing works
Who is innovating? An exploratory research of digital technologies diffusion in retail industry
Pantano, E., & Vannucci, V. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.019 · Cited by 166 · see citing works
Reflexivity in Qualitative Research
Haynes, K. (2012) · Sage eBooks · doi:10.4135/9781526435620.n5 · Cited by 164 · see citing works
Nili, A., Tate, M., Barros, A., & Johnstone, D. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102154 · Cited by 144 · see citing works
Alami, H., Lehoux, P., Denis, J., Motulsky, A., Petitgand, C., Savoldelli, M., Rouquet, R., Gagnon, M., Roy, D. A., & Fortin, J. (2020) · Journal of Health Organization and Management · doi:10.1108/jhom-03-2020-0074 · Cited by 140 · see citing works
Frick, N. R. J., Mirbabaie, M., Stieglitz, S., & Salomon, J. (2021) · Journal of Decision Systems · doi:10.1080/12460125.2020.1870065 · Cited by 138 · see citing works
Festival and event tourism research: Current and future perspectives
Laing, J. (2017) · Tourism Management Perspectives · doi:10.1016/j.tmp.2017.11.024 · Cited by 137 · see citing works
Halpern, N., Mwesiumo, D. E., Suau-Sánchez, P., Budd, T., & Bråthen, S. (2020) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2020.101949 · Cited by 130 · see citing works
Toward efficient smartification of the Internet of Things (IoT) services
Bello, O., & Zeadally, S. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.09.083 · Cited by 125 · see citing works
Avatar Design of Virtual Salespeople: Mitigation of Recommendation Conflicts
Lin, Y., Doong, H., & Eisingerich, A. B. (2020) · Journal of Service Research · doi:10.1177/1094670520964872 · Cited by 116 · see citing works
Are We There Yet? A Technique to Determine Theoretical Saturation
Rowlands, T., Waddell, N., & McKenna, B. J. (2015) · Journal of Computer Information Systems · doi:10.1080/08874417.2015.11645799 · Cited by 115 · see citing works
Li, Y.-H. (2008) · 2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings · doi:10.1109/icmse.2008.4668890 · Cited by 112 · see citing works
Mobile marketing technology adoption in service SMEs: a multi-perspective framework
Eze, S. C., Chinedu-Eze, V. C., Bello, A. O., Inegbedion, H., Nwanji, T. I., & Asamu, F. (2019) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-11-2018-0105 · Cited by 112 · see citing works
Progress on technology use in tourism
Cai, W., Richter, S., & McKenna, B. (2019) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-07-2018-0068 · Cited by 109 · see citing works
Self-citationA new reality: Fan perceptions of augmented reality readiness in sport marketing
Goebert, C., & Greenhalgh, G. P. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106231 · Cited by 108 · see citing works
Exploring technology readiness for mobile payment app users
Wiese, M., & Humbani, M. (2020) · The International Review of Retail, Distribution and Consumer Research · doi:10.1080/09593969.2019.1626260 · Cited by 95 · see citing works
Sharma, S., & Rai, A. (2003) · Information & Management · doi:10.1016/s0378-7206(02)00049-6 · Cited by 94 · see citing works
Technology adoption in hotels: applying institutional theory to tourism
Soares, A. L. V., Filho, L. M., & Ulrike Gretzel, B. (2020) · Tourism Review · doi:10.1108/tr-05-2019-0153 · Cited by 94 · see citing works
(2019) · TUbilio (Technical University of Darmstadt) · Cited by 89 · see citing works
Robots, Artificial Intelligence and Service Automation in Travel, Tourism and Hospitality
Haynes, N. C. (2020) · Journal of Tourism Futures · doi:10.1108/jtf-06-2020-149 · Cited by 89 · see citing works
Deep Sparse Representation Classifier for facial recognition and detection system
Cheng, E. J., Chou, K.-P., Rajora, S., Jin, B.-H., Tanveer, M., Lin, C., Young, K.-Y., Lin, W., & Prasad, M. (2019) · Pattern Recognition Letters · doi:10.1016/j.patrec.2019.03.006 · Cited by 87 · see citing works
Talantis, S., Shin, Y. H., & Severt, K. (2020) · Journal of Convention & Event Tourism · doi:10.1080/15470148.2020.1719949 · Cited by 82 · see citing works
Exploring the Use of the Abbreviated Technology Readiness Index for Hotel Customer Segmentation
Victorino, L., Karniouchina, E. V., & Verma, R. (2009) · Cornell Hospitality Quarterly · doi:10.1177/1938965509336809 · Cited by 76 · see citing works
Atwal, G., & Bryson, D. (2021) · Strategic Change · doi:10.1002/jsc.2412 · Cited by 75 · see citing works
Drexler, N., & Lapré, V. B. (2019) · Research in Hospitality Management · doi:10.1080/22243534.2019.1689701 · Cited by 74 · see citing works
Recognizing events 4.0: the digital maturity of events
Ryan, W. G., Fenton, A., Ahmed, W., & Scarf, P. (2020) · International Journal of Event and Festival Management · doi:10.1108/ijefm-12-2019-0060 · Cited by 66 · see citing works
(2019) · Journal of the Association for Information Systems · Cited by 64 · see citing works
ORGANIZATIONAL ADOPTION OF INFORMATION TECHNOLOGIES: A LITERATURE REVIEW
Arpacı, İ., Yardımcı, Y., Özkan, S., & Turetken, O. (2012) · Bursa Uludag University - AVESIS · Cited by 63 · see citing works
Re-thinking the Competitive Landscape of Artificial Intelligence
Alsheibani, S., Messom, C., & Cheung, Y. (2020) · Hawaii International Conference on System Sciences · doi:10.24251/hicss.2020.718 · Cited by 63 · see citing works
Schmitt, G., Mladenow, A., Strauß, C., & Schaffhauser-Linzatti, M. M. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.09.460 · Cited by 60 · see citing works
Odeh, M., García-Pérez, A., & Warwick, K. (2017) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2017.7.12.996 · Cited by 55 · see citing works
Mummalaneni, V., Meng, J., & Elliott, K. M. (2016) · Journal of Internet Commerce · doi:10.1080/15332861.2016.1237232 · Cited by 50 · see citing works
Future tourism in a robot-based economy: a perspective article
Webster, C., & Ivanov, S. H. (2019) · Tourism Review · doi:10.1108/tr-05-2019-0172 · Cited by 50 · see citing works
Chaubey, A., & Sahoo, C. K. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102344 · Cited by 48 · see citing works
Artificial intelligence and machine learning
Villamil, V., Deloria, R., & Wolbring, G. (2019) · Workshop on ICTs for improving Patients Rehabilitation Research Techniques (REHAB) · doi:10.1145/3364138.3364158 · Cited by 47 · see citing works
Technology readiness and satisfaction in Vietnam's luxury hotels
Huy, L. V., Nguyen, P. T. H., Pham, L. K., et al. (2019) · International Journal of Management and Decision Making · doi:10.1504/ijmdm.2019.098648 · Cited by 45 · see citing works
Jiang, Y., Chen, D., & Lai, F. (2010) · Journal of international technology and information management · doi:10.58729/1941-6679.1087 · Cited by 37 · see citing works
Çelik, H. E., & Kocaman, R. (2017) · Journal of Systems and Information Technology · doi:10.1108/jsit-01-2017-0008 · Cited by 35 · see citing works
THE JOBLESS ECONOMY IN A POST-WORK SOCIETY: HOW AUTOMATION WILL TRANSFORM THE LABOR MARKET
(2018) · Psychosociological Issues in Human Resource Management · doi:10.22381/pihrm6220187 · Cited by 33 · see citing works
Matta, V., Koonce, D. A., & Jeyaraj, A. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2011.10.002 · Cited by 33 · see citing works
Mukherjee, A., Smith, R. J., & Turri, A. M. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.07.057 · Cited by 31 · see citing works
Critical Event Studies: Issues and Perspectives
Robertson, M., Ong, F., Lockstone‐Binney, L., & Ali‐Knight, J. (2018) · Event Management · doi:10.3727/152599518x15346132863193 · Cited by 31 · see citing works
How Does Meetings, Incentives, Conventions, and Exhibitions Industry Attract Exhibitors?
Huang, H. (2015) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2015.1016444 · Cited by 30 · see citing works
Mather, C., & Cummings, E. (2019) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2019-100062 · Cited by 29 · see citing works
Digital transformation in business and society: theory and cases
Shahriar, S. (2020) · Asia Pacific Business Review · doi:10.1080/13602381.2020.1738074 · Cited by 29 · see citing works
Sox, C. B., Crews, T. B., & Kline, S. F. (2014) · Journal of Convention & Event Tourism · doi:10.1080/15470148.2014.896231 · Cited by 26 · see citing works
Managing Events : Real Challenges, Real Outcomes
Quick, E. (2020) · Cited by 26 · see citing works
Martin, A. (2003) · Journal of Information Technology · doi:10.1080/0268396031000077413 · Cited by 25 · see citing works
Key success factors toward MICE industry: a systematic literature review.
Anas, M. S., Maddiah, N. A., Uzma, E. N. E. N., et al. (2020) · Journal of Tourism & Hospitality · Cited by 21 · see citing works
An Unhealthy Obsession with Theory
Dennis, A. R. (2019) · Journal of the Association for Information Systems · doi:10.17705/1jais.00572 · Cited by 18 · see citing works
Davidson, R., Alford, P., & Seaton, T. (2002) · Journal of Convention & Exhibition Management · doi:10.1300/j143v04n02_03 · Cited by 17 · see citing works
Self-citationMicro-foundations of Artificial Intelligence Adoption in Business: Making the Shift
Kushwaha, A. K., & Kar, A. K. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-64849-7_22 · Cited by 16 · see citing works
Wynn, E., & Hult, H. V. (2019) · now publishers, Inc. eBooks · doi:10.1561/9781680835571 · Cited by 16 · see citing works
A critical analysis of e-market adoption in Australian small and medium sized enterprises
Duan, S. X., Deng, H., & Corbitt, B. (2010) · RMIT Research Repository (RMIT University Library) · Cited by 14 · see citing works
Conceptualizing a Capability-Based View of Artificial Intelligence Adoption in a BPM Context
Zebec, A., & Štemberger, M. I. (2020) · Lecture notes in business information processing · doi:10.1007/978-3-030-66498-5_15 · Cited by 13 · see citing works
Adapting the Technology Acceptance Model (TAM) For Business Events: The Event Organizer Perspectives
Sangkaew, P., Jago, L., & Gkritzali, A. (2019) · Event Management · doi:10.3727/152599519x15506259855832 · Cited by 11 · see citing works
Virtual site visits for meeting and event planning: are US convention facilities ready?
Soifer, I., Berezina, K., Ciftci, O., et al. (2021) · Journal of Hospitality and Tourism Insights · doi:10.1108/jhti-09-2020-0165 · Cited by 11 · see citing works
Lee, J., Kim, S.-H., & Kang, B. (2019) · Journal of Convention & Event Tourism · doi:10.1080/15470148.2019.1674757 · Cited by 5 · see citing works
Does technology readiness predict banking self service technologies usage in India?
Naidu, A., & Sainy, R. (2018) · International Journal of Electronic Banking · doi:10.1504/ijebank.2018.095597 · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 12
- Bhattacherjee, A., & Hikmet, N. (2008). Reconceptualizing organizational support and its effects on information technology usage: Evidence from the healthcare sector. Journal of Computer Information Systems, 48(4), 69-76.
- CVENT. (2020). Cvent CEO Urges MICE Industry to Embrace the Fourth Industrial Revolution. 〈https://www.cvent.com/uk/press-release/cvent-ceo-urges-mice-indu stry-embrace-fourth-industrial-revolution〉.
- Davidson, R. (2019). Business events (2nd ed.). Routledge.
- Dewi, A.A.M., Hidayanto, N.A., Purwandari, B., Kosandi, M., Budi, A.F.N. (2018). Smart city readiness model based on technology-organization-environment (TOE) framework and its effect on adoption decision. In: M. Tanabu & D. Senoo (Eds.), Proceedings of the 22nd Pacific Asia Conference on Information Systems-Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018.
- Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O. (2018). When will AI exceed human performance? Evidence from AI experts. Journal of Artificial Intelligence, 62, 729-754.
- Ivanov, S., Webster, C., & Berezina, K. (2017). Adoption of robots and service automation by tourism and hospitality. Revista Turismo & Desenvolvimento, 27(28), 1501-1517.
- Jotikasthira, N. (2015). Increasing tradeshow & exhibition industry competitiveness through competency-based hiring and promotion: A sales executive perspective. Global Journal of Management And Business Research.
- Martin, V., & Cazarre, L. (2016). Technology and Events: How to create engaging events (1st ed.). Goodfellow Publishers Limited.
- Swedberg, R. (2020). Exploratory research. In C. Elman, J. Gerring, & J. Mahoney (Eds.), The production of knowledge: Enhancing progress in social science (pp. 17-41). Cambridge: Cambridge University Press.
- Tucker, C. (2019). Privacy, algorithms, and artificial intelligence. In A. Agrawal, J. Gans, & A. Goldfarb (Eds.), The economics of artificial intelligence: An agenda (pp. 423-437). University of Chicago Press.
- Webster, C., & Ivanov, S. (2020aaa). Future tourism in a robot-based economy. Tourism Review, 75(1), 329-332.
- Zhu, K. K. K. L., & Xu, S. (2006). The process of innovation assimilation byfirms in different countries: A technology diffusion perspective on e-business. Journal of Management and Science, 52(10), 1557-1576.
Cited by
Sorted by citations
Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M. A. A., & Dwivedi, Y. K. (2023) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2023.100333 · Cited by 568 · see citing works
Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach
Peretz-Andersson, E., Tabares, S., Mikalef, P., & Parida, V. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102781 · Cited by 218 · see citing works
Virtual agents and flow experience: an empirical examination of AI-powered chatbots
Baabdullah, A. M., Alalwan, A. A., Algharabat, R. S., Metri, B., & Rana, N. P. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121772 · Cited by 171 · see citing works
Goswami, M., Jain, S., Alam, T., Deifalla, A. F., Ragab, A. E., & Khargotra, R. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1215706 · Cited by 33 · see citing works
- Authors
- Hradecky, D., Kennell, J., Cai, W., & Davidson, R.
- Affiliations
- University of Greenwich (GB)
- Corresponding author
- Kennell, James
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2022-08
- Volume
- 65
- Pages
- 102497
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W4214522446
- Cited by
- 203
- References
- 103
- Citations by year
- 2026: 49 · 2025: 71 · 2024: 46 · 2023: 25 · 2022: 12
- FWCI
- 32.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Information Management (publishedVersion, cc-by)
- Greenwich Academic Literature Archive (University of Greenwich) (acceptedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- artificial intelligence adoption, organizational readiness, exhibition industry, event industry, technology-organization-environment framework, Technology Readiness Index, COVID-19 pandemic, organizational size, financial resources, Western Europe
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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