Konaklama İşletmelerinde Akıllı Turizm Teknolojilerinin Kurumsal Kabulü

Amaç – Bu çalışmanın amacı, konaklama işletmelerinde akıllı turizm teknolojilerinin kurumsalkabulünü etkileyen faktörleri ortaya çıkararak çalışma alanıyla ilgili bilgi birikimine katkıdabulunmaktır. Yöntem – Nitel araştırma yöntemlerinden yapılandırılmış mülakat tekniğine uygun şekilde görüşmesoruları belirlenmiş ve Mayıs-Haziran 2020 aylarında farklı türdeki turizm ürünü ile farklı profildekituristlere hizmet sunan Antalya ve Kapadokya Bölgesini temsilen de Kayseri ve Nevşehir’de faaliyetgösteren dokuz ayrı konaklama işletmesi yöneticisi ile yüz-yüze görüşülerek ve e-posta yoluyla birincilveri toplanmıştır. Verilerin çözümlenmesinde tümevarımcı içerik analizi kullanılmış olup, her birgörüşme sorusuna alınan cevaplar kullanılarak değerlendirmede bulunulmuştur. Bulgular – Verilerin analizi sonucunda; algılanan fayda, uyumluluk, tepe yönetimin desteği, işletmeninbüyüklüğü, teknolojik yeterlilik, müşteri ihtiyaçları ve rekabetçi baskı faktörlerinin konaklamaişletmelerinde akıllı turizm teknolojilerinin kurumsal kabulünü olumlu yönde etkilediği, karmaşıklıkfaktörünün ise olumsuz yönde etkilediği sonucuna ulaşılmıştır. Ayrıca, yapılan görüşmeler sonucundayasal düzenlemelerin de çevresel faktör olarak olumlu yönde etki oluşturduğu ortaya çıkmıştır. Tartışma – Turizm sektöründe yeni teknolojilerin kurumsal kabulüne yönelik literatürde çalışmalarbulunsa da (Wang ve Qualls, 2007; Fux ve Myrach, 2009; Ozturk vd., 2012; Leung vd., 2015; Nurhadi vePurnomo, 2018) akıllı turizm teknolojilerinin kurumsal kabulüne yönelik çalışmalararastlanmamaktadır. Araştırma sonucunda akıllı turizm teknolojilerini benimsemede olumlu etkisininolduğu ileri sürülen uyumluluk faktörünü Ozturk vd. (2012), işletmenin büyüklüğü ve teknolojikyeterlilik faktörünü Wang vd. (2016), müşteri ihtiyaçları faktörünü Lin (2017) ve rekabetçi baskıfaktörünü Yan Xin vd. (2014) destekleyen çalışmalar bulunmaktadır. Elde edilen bulgulardoğrultusunda akademiye, uygulayıcılara ve gelecek çalışmalara önerilerde bulunulmuştur.

Organizational Adoption of Smart Tourism Technologies in Accommodation Enterprises

Purpose – The purpose of this study is to contribute to the relevant knowledge accumulation byrevealing the factors that affect the organizational adoption of smart tourism technologies inaccommodation enterprises. Design/methodology/approach – Structured interviews were carried out, which is one of the mostlyused qualitative data gathering techniques. Primary data were collected through either face-to-faceinterviews or e-mails held in May-June 2020 with nine managers of accommodation enterprisesoperating in Antalya and Cappadocia Region which offer different tourism products to different touristprofiles. The data were subjected to inductive content analysis, participants’ responses were tabulated,and direct quotations were included for each interview question. Findings – As the data analysis reveals, the perceived benefit, compatibility, top management support,firm size, technology competence, customer needs and competitive pressure factors positively affect theorganizational adoption of smart tourism technologies in the accommodation enterprises while thecomplexity factor affects negatively. Moreover, it was stated that the legal regulations as beingenvironmental factor had also positive implications. Discussion – Although there are studies on the organizational adoption of new technologies in thetourism sector (Wang & Qualls, 2007; Fux & Myrach, 2009; Ozturk et al., 2012; Leung et al., 2015;Nurhadi & Purnomo, 2018), no study available on organizational adoption of smart tourismtechnologies in accommodation enterprises. The compatibility, firm size, technology competence,customer needs and competitive pressure factors affect positively the organizational adoption of smarttourism technologies in accommodation enterprises. These results are supported by the studies ofOzturk et al. (2012), Wang et al. (2016), Lin (2017), and Yan Xin et al. (2014). In line with these findings,suggestions were made to the academia, practitioners and future studies.

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  • Ahmadi, H., Nilashi, M. and Ibrahim, O. (2015). Organizational decision to adopt hospital information system: An empirical investigation in the case of Malaysian public hospitals, International Journal of Medical Informatics, 84 (3), 166–188.
  • Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior, Kuhl, J. & Beckmann, J. (Eds.), Action Control, Heidelberg, Berlin, Springer-Verlag, 11-39.
  • Ajzen, I. (2012). The Theory of Planned Behavior, Van Lange, P. A. M., Kruglanski, A. W. & Higggins, E. T. (Eds.), Handbook of Theories of Social Psychology: Volume 1, Thousand Oaks, California, USA, Sage Publications, Inc., 438–459.
  • AlBar, A. M. and Hoque, M. R. (2019). Factors affecting cloud ERP adoption in Saudi Arabia: An empirical study, Information Development, 35 (1), 150–164.
  • Alshamaila, Y., Papagiannidis, S. and Li, F. (2013). Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework, Journal of Enterprise Information Management, 26 (3), 250–275.
  • Arpaci, I. (2013). Organizational adoption of mobile communication technologies, Yayımlanmamış Doktora Tezi, Department of Information System, School of Informatics, Middle East Technical University.
  • Baker, J. (2012). The Technology-Organization-Environment Framework, Dwivedi, Y. K., Wade, M. R. & Schneberger, S. L. (Eds.), Information Systems Theory: Explaining and Predicting our Digital Society Vol. 1, New York, NY, Springer, 231-245.
  • Chang, B. Y., Magobe, M. J. and Kim, Y. B. (2015). E-commerce applications in the tourism industry: A Tanzania case study, South African Journal of Business Management, 46 (4), 53–64.
  • Chang, Y. W. (2020). What drives organizations to switch to cloud ERP systems? The impacts of enablers and inhibitors, Journal of Enterprise Information Management, 33 (3), 600–626.
  • Cimbaljević, M., Stankov, U., Demirović, D. and Pavluković, V. (2021). Nice and smart: Creating a smarter festival–the study of EXIT (Novi Sad, Serbia), Asia Pacific Journal of Tourism Research, 26 (4), 415-427..
  • Compeau, D. R. and Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test, MIS Quarterly, 19 (2), 189–211.
  • Coşkun, R., Altunışık, R., Bayraktaroğlu, S. ve Yıldırım, E. (2015). Sosyal Bilimlerde Araştırma Yöntemleri – SPSS Uygulamalı, (Sekizinci Baskı), Sakarya, Sakarya Yayıncılık.
  • Cranmer, E., Jung, T., tom Dieck, M. C. and Miller, A. (2016). Understanding the acceptance of augmented reality at an organisational level: The case of Geevor Tin Mine Museum, in Information and Communication Technologies in Tourism 2016, in Bilbao, Spain, 2-5 February 2016, Vienna, Springer, 637-650.
  • Creswell, J. W. and Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, (Fifth Edition), Los Angeles, Sage Publications, Inc.
  • Damanpour, F. (1992). Organizational size and innovation, Organization Studies, 13 (3), 375–402.
  • Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Unpublished Doctoral Thesis, Department of Management, Massachusetts Institute of Technology, United States.
  • Fux, M. and Myrach, T. (2009). Adoption of a destination-wide CRM approach: An empirical analysis of the determinants in the Swiss hospitality industry, in Information and Communication Technologies in Tourism 2009, in Amsterdam, The Netherlands, 28-30 January 2009, Vienna, Springer, 507-517.
  • Gretzel, U., Sigala, M., Xiang, Z. and Koo, C. (2015). Smart tourism: Foundations and developments, Electronic Markets, 25, 179–188.
  • Gretzel, U., Werthner, H., Koo, C. and Lamsfus, C. (2015). Conceptual foundations for understanding smart tourism ecosystems, Computers in Human Behavior, 50, 558–563.
  • Guo, Y., Liu, H. and Chai, Y. (2014). The embedding convergence of smart cities and tourism internet of things in China: An advance perspective, Advances in Hospitality and Tourism Research (AHTR), 2 (1), 54–69.
  • Ho, C. T. B. and Gebsombut, N. (2019). Communication factors affecting tourist adoption of social network sites. Sustainability, 11, 1–13.
  • Huang, C. D., Goo, J., Nam, K. and Yoo, C. W. (2017). Smart tourism technologies in travel planning: The role of exploration and exploitation, Information and Management, 54, 757–770.
  • Hunter, W. C., Chung, N., Gretzel, U. and Koo, C. (2015). Constructivist research in smart tourism, Asia Pacific Journal of Information Systems, 25 (1), 105–120.
  • Iacovou, C. L., Benbasat, I. and Dexter, A. S. (1995). Electronic data interchange and small organizations: Adoption and impact of technology, MIS Quarterly, 19 (4), 465–485.
  • Ifinedo, P. (2011). Internet/e‐business technologies acceptance in Canada’s SMEs: An exploratory investigation, Internet Research, 21 (3), 255–281.
  • İslamoğlu, A. H. ve Alnıaçık, Ü. (2014). Sosyal Bilimlerde Araştırma Yöntemleri, (Dördüncü Baskı), İstanbul, Beta Yayıncılık.
  • Jeong, M. and Shin, H. H. (2020). Tourists’ experiences with smart tourism technology at smart destinations and their behavior intentions, Journal of Travel Research, 59 (8), 1464-1477.
  • Kagermann, H., Wahlster, W. and Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0 : Securing the Future of German Manufacturing Industry, Final report of the Industrie 4.0 working group, Frankfurt, Main, Forschungsunion.
  • Karamustafa, K. ve Yılmaz, M. (2019). Konaklama işletmeleri yöneticilerinin akıllı turizm teknolojilerinin olası faydalarına yönelik algılarının değerlendirilmesi, Journal of Tourism and Gastronomy Studies, 7 (3), 1669– 1688.
  • Khwaldeh, S., Alkhawaldeh, R. S., Masa’deh, R., AlHadid, I. and Alrowwad, A. (2020). The impact of mobile hotel reservation system on continuous intention to use in Jordan, Tourism and Hospitality Research, 20 (3), 358-371.
  • Kimberly, J. R. and Evanisko, M. J. (1981). Organizational innovation: the influence of individual, organizational, and contextual factors on hospital adoption of technological and administrative innovations, Academy of Management Journal, 24 (4), 689–713.
  • Kirk, J. and Miller, M. (1986). Reliability and Validity in Qualitative Research, Beverly Hills/California, Sage Publications, Inc.
  • Koo, C., Joun, Y., Han, H. and Chung, N. (2016). A structural model for destination travel intention as a media exposure: Belief-desire-intention model perspective, International Journal of Contemporary Hospitality Management, 28 (7), 1338–1360.
  • Kozak, M. (2014). Bilimsel Araştırma: Tasarım, Yazım ve Yayım Teknikleri, Ankara, Detay Yayıncılık.
  • LeCompte, M. D. and Goetz, J. P. (1982a). Ethnographic data collection in evaluation research, Educational Evaluation and Policy Analysis, 4 (3), 387–400.
  • Lecompte, M. D. and Goetz, J. P. (1982b). Problems of reliability and validity in ethnographic research, Review of Educational Research, 52 (1), 31–60.
  • Lee, P., Hunter, W. C. and Chung, N. (2020). Smart tourism city: Developments and transformations, Sustainability, 12, 3958, 1–15.
  • Leung, D., Lo, A., Fong, L. H. N. and Law, R. (2015). Applying the technology-organization-environment framework to explore ICT initial and continued adoption: An exploratory study of an independent hotel in Hong Kong, Tourism Recreation Research, 40 (3), 391–406.
  • Leung, R. (2019). Smart hospitality: Taiwan hotel stakeholder perspectives, Tourism Review, 74 (1), 50–62.
  • Li, D., Lai, F. and Wang, J. (2010). E-Business assimilation in China’s international trade firms: The technologyorganizationenvironment framework, Journal of Global Information Management, 18 (1), 39–65.
  • Li, Y., Hu, C., Huang, C. and Duan, L. (2017). The concept of smart tourism in the context of tourism information services, Tourism Management, 58, 293–300.
  • Lin, S. W. (2016). The critical success factors for a travel application service provider evaluation and selection by travel intermediaries, Tourism Management, 56, 126–141.
  • Lin, S. W. (2017). Identifying the critical success factors and an optimal solution for mobile technology adoption in travel agencies, International Journal of Tourism Research, 19 (2), 127–144.
  • Neuhofer, B., Buhalis, D. and Ladkin, A. (2015). Smart technologies for personalized experiences: A case study in the hospitality domain, Electronic Markets, 25, 243–254.
  • Nurhadi, N. and Purnomo, M. (2018). Predicting e-commerce adoption in small hotel: The role of technologyorganisation-environment framework, International Journal of Business Information Systems, 29 (3), 324– 341.
  • Oliveira, T. and Martins, M. F. (2011). Literature review of information technology adoption models at firm level, The Electronic Journal Information Systems Evaluation, 14 (1), 110–121.
  • Oliveira, T., Thomas, M. and Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors, Information and Management, 51, 497–510.
  • Ozturk, A. B., Palakurthi, R. and Hancer, M. (2012). Organizational-level RFID technology adoption in the hospitality industry, Tourism Analysis, 17, 629–642.
  • Pan, M. and Pan, W. (2019). Determinants of adoption of robotics in precast concrete production for buildings, Journal of Management in Engineering, 35 (5), 05019007.
  • Patton, M. Q. (2014). Qualitative Research and Evaluation Methods, (Fourth Edition), Thousand Oaks/California, Sage Publications, Inc.
  • Premkumar, G., Ramamurthy, K. and Nilakanta, S. (1994). Implementation of electronic data interchange: An innovation diffusion perspective, Journal of Management Information Systems, 11 (2), 157–186.
  • Rogers, E. (2003). The Diffusion of Innovations, (Fifth Edition), New York, The Free Press.
  • Rondović, B., Djuričković, T. and Kašćelan, L. (2019). Drivers of e-business diffusion in tourism: A decision tree approach, Journal of Theoretical and Applied Electronic Commerce Research, 14 (1), 30–50.
  • Salwani, M. I., Marthandan, G., Norzaidi, M. D. and Chong, S. C. (2009). E-commerce usage and business performance in the Malaysian tourism sector: Empirical analysis, Information Management and Computer Security, 17 (2), 166–185.
  • Sekaran, U. and Bougie, R. (2016). Research Methods for Business: A Skill Building Approach, (Seventh Edition), Chichester, West Sussex, John Wiley & Sons.
  • Selznick, P. (1948). Foundations of the theory of organization, American Sociological Review, 13 (1), 25–35.
  • Song, S. M., Kim, E., Tang, R. and Bosselman, R. (2015). Exploring the determinants of e-commerce by integrating a technology-organization-environment framework and an expectation-confirmation model, Tourism Analysis, 20 (6), 689–696.
  • Sun, S., Hall, D. J. and Cegielski, C. G. (2020). Organizational intention to adopt big data in the B2B context: An integrated view, Industrial Marketing Management, 86, 109–121.
  • Thong, J. Y. L. (1999). An integrated model of information systems adoption in small businesses, Journal of Management Information Systems, 15 (4), 187–214.
  • Tornatzky, L. G. and Fleischer, M. (1990). The Process of Technological Innovation, Massachusetts, Lexington Books.
  • Tornatzky, L. G. and Klein, K. J. (1982). Innovation characteristics and innovation adoption implementation: A meta-analysis of findings, IEEE Transactions on Engineering Management, 29 (1), 28–45.
  • Tu, Q. and Liu, A. (2014). Framework of smart tourism research and related progress in China. in Proceedings of the International Conference on Management and Engineering (CME 2014), in Shangai, China, 24-25 May 2014, Lancaster, USA, DEStech Publications, Inc, 140-146.
  • Um, T. and Chung, N. (2021). Does smart tourism technology matter? Lessons from three smart tourism cities in South Korea, Asia Pacific Journal of Tourism Research, 26 (4), 396-414.
  • Valko, L. and Smolkova, E. (2019). Smart tourism concept in Slovak market conditions, in Fifth International Scientific Conference on Knowledge Based Sustainable Development ERAZ 2019, in Budapest, Hungary, 23 May 2019, Belgrade, Serbia, Association of Economists and Managers of the Balkans, 223-228.
  • Venkatesh, V. and Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions, Decision Sciences, 39 (2), 273–315.
  • Venkatesh, V. and Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Science, 46 (2), 186–204.
  • Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view, MIS Quarterly, 27 (3), 425–478.
  • Venkatesh, V., Thong, J. Y. L. and Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology, MIS Quarterly, 36 (1), 157–178.
  • Vladimirov, Z. (2015). Factors for the e-business adoption by small tourism firms and the role of shadow economic practices, European Journal of Tourism Research, 10, 5–34.
  • Wang, D., Li, X. and Li, Y. (2013). China’s “smart tourism destination” initiative: A taste of the servicedominant logic, Journal of Destination Marketing and Management, 2, 59–61.
  • Wang, Y. and Qualls, W. (2007). Towards a theoretical model of technology adoption in hospitality organizations, International Journal of Hospitality Management, 26 (3), 560–573.
  • Wang, Y. S., Li, H. T., Li, C. R. and Zhang, D. Z. (2016). Factors affecting hotels’ adoption of mobile reservation systems: A technology-organization-environment framework, Tourism Management, 53, 163–172.
  • Wen, J., Liu, X. and Yu, C. E. (2020). Exploring the roles of smart services in Chinese senior tourists’ travel experiences: An application of psychological reactance theory, Anatolia, 31 (4), 666-669.
  • Yadegaridehkordi, E., Nilashi, M., Nasir, M. H. N. B. M. and Ibrahim, O. (2018). Predicting determinants of hotel success and development using structural equation modelling (SEM)-ANFIS method, Tourism Management, 66, 364–386.
  • Yan Xin, J., Ramayah, T., Soto-Acosta, P., Popa, S. and Ai Ping, T. (2014). Analyzing the use of Web 2.0 for brand awareness and competitive advantage: An empirical study in the Malaysian hospitability industry, Information Systems Management, 31 (2), 96–103.
  • Yıldırım, A. ve Şimşek, H. (2013). Sosyal Bilimlerde Nitel Araştırma Yöntemleri, (Dokuzuncu Baskı), Ankara, Seçkin Yayınları.
  • Yoo, C. W., Goo, J., Huang, C. D., Nam, K. and Woo, M. (2017). Improving travel decision support satisfaction with smart tourism technologies: A framework of tourist elaboration likelihood and self-efficacy, Technological Forecasting and Social Change, 123, 330–341.
  • Zhu, K., Dong, S., Xu, S. X. and Kraemer, K. L. (2006). Innovation diffusion in global contexts: Determinants of post-adoption digital transformation of European companies, European Journal of Information Systems, 15, 601–616.
  • Zhu, K., Kraemer, K. L., Xu, S. and Dedrick, J. (2004). Information technology payoff in E-Business environments: An international perspective on value creation of E-Business in the financial services industry, Journal of Management Information Systems, 21 (1), 17–54.
  • Zhu, K., Kraemer, K. and Xu, S. (2003). Electronic business adoption by European firms: A cross-country assessment of the facilitators and inhibitors, European Journal of Information Systems, 12 (4), 251–268.
İşletme Araştırmaları Dergisi-Cover
  • ISSN: 1309-0712
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 2009
  • Yayıncı: Melih Topaloğlu
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