Analysis of Perceptions Regarding Digital Transformation by Technology Ready Kahramanmaraş Sutcu Imam University Vocational Students

Year 2022, , 78 - 89, 31.12.2022

Zümrüt Hatice Şekkeli

https://doi.org/10.47257/busad.1214570

Cited By: 2

Abstract

The digital transformation process, which is also named Industry 4.0, has started with increasing momentum and continuous development of digital technologies. In this process, people met many new technologies such as the internet of things, cyber-physical systems, cloud computing, big data, blockchain, and autonomous robots, and these technologies were first used in production. But this transformation has begun to affect not only production but also social and business life. So much so that, day by day, it affects more and more intensely the way individuals do business, their organizational structures, their management strategies, and even their lifestyles and value understandings.
This study, it is aimed to determine the various factors that affect the perspective of the VHS students, who will be employed as the intermediate staff of the future, to digital technology. For this purpose, based on the Technology Readiness and Acceptance Model (TRAM) theory, students' level of adoption of this technology, their usage intentions, and their behaviours were examined.
In the study, the questionnaire technique was used, which is a quantitative approach, and the variables were adapted based on the digital transformation process. The questionnaires were applied to 779 students in 26 departments in 6 vocational schools within Kahramanmaraş Sütçü İmam University.
Frequency analysis, factor analysis, validity and reliability analysis, correlation, and regression analysis were performed in the study. As a result of the analysis, it was found that optimism, innovativeness, discomfort, and insecurity positively affected perceived usefulness and perceived ease of use. It has been found that these have positive effects on the intention to use and actual use

Keywords

Technology Readiness and Acceptance Model (TRAM), Digital Technology, Digital Transformation, Industry 4.0

Dijital Dönüşüme Dair Algıların Teknolojiye Hazir Olma ve Kabul Modeli (TRAM) ile Analizi: Kahramanmaraş Sütçü İmam Üniversitesi MYO Öğrencileri Üzerinde Ampirik Bir Çalışma

Abstract

Dijital teknolojilerin artan ivme ile ve sürekli gelişmesi, Endüstri 4.0 olarak da adlandırılan bir dijital dönüşüm süreci başlatmıştır. Bu süreçte insanlar nesnelerin interneti, siber fiziksel sistemler, bulut bilişim, büyük veri, blokzincir, otonom robotlar gibi pek çok yeni teknoloji ile tanışmış ve ilk olarak üretimde bu teknolojilerden yararlanılmaya başlanmıştır. Bu dönüşüm sadece üretimle kalmamış toplumsal hayatı ve iş hayatını da etkilemeye başlamıştır. Öyle ki her geçen gün daha da yoğun bir biçimde bireylerin iş yapış şekillerinden, örgüt yapılarına, yönetim stratejilerine kadar etkilemiş hatta yaşam biçimlerine ve değer anlayışlarına kadar etki alanı artmıştır.
Bu çalışmada da, geleceğin ara elamanı olarak istihdam edilecek MYO öğrencelerinin dijital teknolojiye bakış açısını etkileyen çeşitli faktörleri belirlemek amaçlamaktadır. Bu amaçla Teknoloji Bulunma ve Kabul Modeli (TRAM) teorisine dayalı olarak öğrencilerin bu teknolojiyi benimseme düzeyleri, kullanım niyetleri ve kullanma davranışları incelenmiştir.
Araştırmada nicel bir yaklaşım olan anket tekniği kullanılmış ve bu araştırmada kullanılacak değişkenler, dijital dönüşüm süreci temel alınarak uyarlanmıştır. Anketler Kahramanmaraş Sütçü İmam Üniversitesi bünyesinde bulunan 6 meslek yüksekokulunda yer alan 26 bölümde okuyan 779 öğrenciye uygulanmıştır.
Çalışmada frekans analizi, faktör analizi, geçerlilik ve güvenilirlik analizi, korelasyon ve regresyon analizleri yapılmıştır. Analizler sonucunda iyimserliğin, yenilikçiliğin, rahatsızlığın ve güvensizliğin algılanan kullanışlılığı ve algılanan kullanım kolaylığını olumlu yönde etkilediği; bunların da kullanım niyeti ve kullanma davranışı üzerinde olumlu etkilerinin olduğu bulgularına ulaşılmıştır.

Keywords

Dijital Teknoloji, Dijital Dönüşüm, Endüstri 4.0, Technology Readiness and Acceptance Model (TRAM), Digital Technology, Digital Transformation, Industry 4.0, Teknolojiye Hazır Olma ve Kabul Modeli (TRAM)

References

• AJZEN, I. (1991). The Theory of Planned Behavior. Organizational Behavior And Human Decision Processes,50, 2.
• ARIPRADONO, H.W. (2021). Analisis Technology Readiness and Acceptance Model (TRAM) Pada Penggunaan Sport Wearable Technology. Teknika,10, 1.
• AYDIN, U. (2019). Bir Üniversite WEB Sitesinin Teknoloji Kabul Modeli ve Bilgi Mimarisi Perspektifinden İncelenmesi, Mimar Sinan Güzel Sanatlar Üniversitesi, Fen Bilimleri Enstitüsü, Enformatik Ana Bilim Dalı, Bilgisayar Ortamında Sanat ve Tasarım Bilim Dalı, Yüksek Lisans Tezi
• BELGE, S. and MUTLU, H.M. (2020). Tüketicilerin Giyilebilir Teknolojileri Benimsenmesine Yönelik Davranışsal Niyet ve Kullanımları Üzerine Bir Araştırma. Uygulamalı Sosyal Bilimler Dergisi,4, 1, 14-35.
• BHARADWAJ, A., EL SAWY, O. A., PAVLOU, P. A., and VENKATRAMAN, N. V. (2013). Digital Business Strategy: Toward A Next Generation of İnsights. MIS Quarterly, 471-482.
• BORRERO, J.D., YOUSAFZAİ, S.Y., JAVED, U. and PAGE, K.L. (2014), Expressive Participation in İnternet Social Movements: Testing The Moderating Effect of Technology Readiness And Sex On Student SNS Use, Computers in Human Behavior, Vol. 30, pp. 39-49, available at: https://doi.org/10.1016/j.chb.2013.07.032 BÜYÜKÖZTÜRK, Ş. (2011). Sosyal Bilimler İçin Veri Analizi El Kitabı (17. bs.). Ankara: Pegem Akademi,
• COMPERNOLLE, M.V., BUYLE, R., MANNENS, E., VANLISHOUT, Z., VLASSENROOT,E. and MECHANT, P. (2018). Technology Readiness and Acceptance Model" As A Predictor for The Use İntention of Data Standards İn Smart Cities. Media and Communication,6, 4.
• DAVIS, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, And User Acceptance of Information Technology. MIS quarterly, 319-340.0276-7783.
• ERDOGMUS, N. and ESEN, M. (2014). Effects of Technology Readiness On Technology Acceptance in E-HRM, Mediating Role of Perceived Usefulness. Bilgi Ekonomisi ve Yönetimi Dergisi, e-ISSN, 1308-3937.
• FACHRUNNISA, O., ADHIATMA, A., LUKMAN, N. and AB MAJID, M.N. (2020). Towards SMEs’ Digital Transformation: The Role of Agile Leadership and Strategic Flexibility. Journal of Small Business Strategy,30, 3, 65-85.
• FIELD, A. (2009). Discovering Statistics Using SPSS, SAGE Publications Ltd. England.
• FİTZGERALD, M., KRUSCHWİTZ, N., BONNET, D., and WELCH, M. (2014). Embracing Digital Technology: A New Strategic Imperative. MIT Sloan Management Review, 55(2), 1.
• GODOE, P. and JOHANSEN, T. (2012). Understanding Adoption of New Technologies: Technology Readiness and Technology Acceptance as an Integrated Concept. Journal of European Psychology Students,3, 1.2222-6931.
• GONG, C. and RIBIERE, V. (2021). Developing A Unified Definition of Digital Transformation. Technovation,102, 102217.0166-4972.
• GÜMÜŞSOY, Ç.A. and ÇALIŞIR, F. (2009). E-Açık Eksiltme Teknolojisinin Kabulünü Etkileyen Faktörlerin Belirlenmesi. ITU Journal Series D: Engineering,8, 4.1303-703X.
• HALLIKAINEN, H. and LAUKKANEN, T. (2016). How Technology Readiness Explains Acceptance and Satisfaction of Digital Services In B2B Healthcare Sector? PACIS 2016 Proceedings. 294. http://aisel.aisnet.org/pacis2016/294
• HESS, T., MATT, C., BENLIAN, A. and WIESBÖCK, F. (2016). Options for Formulating a Digital Transformation Strategy. MIS Quarterly Executive,15, 2.1540-1960.
• HUMBANI, M. and WIESE, M. (2018). A Cashless Society for All: Determining Consumers’ Readiness to Adopt Mobile Payment Services. Journal of African Business,19, 3, 409-429.1522-8916.
• ISMAIL, M. H.; KHATER, M.; and ZAKI, M.(2017). Digital Business Transformation and Strategy: What Do We Know So Far. Cambridge Service Alliance, 10.1: 1-35.
• KALAYCI, Ş. (2010). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri (5. Baskı), Asil Yayıncılık. Ankara. KAYA, A., KOCA, N., and HATUNOĞLU, Z. (2022). Geleceğin Muhasebecilerinin Teknoloji Kabullerinin Tespitine İlişkin Bir Araştırma. Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi,25, Özel Sayı, 369-381.
• KLEIN, M. (2020a). İşletmelerin Dijital Dönüşüm Senaryolari-Kavramsal Bir Model Önerisi. Elektronik Sosyal Bilimler Dergisi,19, 74, 997-1019.1304-0278.
• KŐ, A., FEHÉR, P. and SZABÓ, Z. (2019). Digital Transformation–A Hungarian Overview. Economic and Business Review,21, 3, 3.2335-4216.
• KORKMAZ, S. (2019). Çalışanların Teknolojiye Hazır Bulunuşluk Eğilimleri, Teknoloji Kabulü ve Iş Tatmini Arasındaki Ilişkiye Yönelik Bir Araştırma., İstanbul Üniversitesi, Yüksek Lisans Tezi,.
• KUO, K.-M., LIU, C.-F. and MA, C.-C. (2013). An Investigation of the Effect of Nurses’ Technology Readiness On the Acceptance of Mobile Electronic Medical Record Systems. BMC Medical Informatics and Decision Making,13, 1, 1-14.1472-6947.
• LARASATI, N. and SANTOSA, P.I. (2017). Technology Readiness and Technology Acceptance Model in New Technology Implementation Process in Low Technology Smes. International Journal of Innovation, Management and Technology,8, 2, 113.2010-0248.
• LEDERER, A.L., MAUPIN, D.J., SENA, M.P. and ZHUANG, Y. (2000). The Technology Acceptance Model and The World Wide Web. Decision Support Systems,29, 3, 269-282.0167-9236.
• LEE, Y., LEE, J. and LEE, Z. (2006). Social Influence On Technology Acceptance Behavior: Self-Identity Theory Perspective. ACM SIGMIS Database: The DATABASE for Advances in Information Systems,37, 2-3, 60-75.0095-0033.
• LIN, C.H., SHIH, H.Y. and SHER, P.J. (2007). Integrating Technology Readiness into Technology Acceptance: The TRAM model. Psychology & Marketing,24, 7, 641-657.
• LİU, D. Y., CHEN, S. W., and CHOU, T. C. (2011). Resource Fit in Digital Transformation: Lessons Learned from The CBC Bank Global E‐Banking Project. Management Decision. Vol. 49 No. 10, pp. 1728-1742. https://doi.org/10.1108/00251741111183852
• MARTIGNONI, R., STANOEVSKA-SLABEVA, K. and MUELLER, D. (2008). Evaluation of Future Mobile Services Based On the Technology Acceptance Model. ECIS 2008 Proceedings. 183. http://aisel.aisnet.org/ecis2008/183 MENG, J., ELLIOTT, K.M. and HALL, M.C. (2009). Technology Readiness Index (TRI): Assessing Cross-Cultural Validity. Journal of International Consumer Marketing,22, 1, 19-31.0896-1530.
• MIRKOVIĆ, V., LUKIĆ, J., LAZAREVIĆ, S. and VOJINOVIĆ, Ž. (2019). Key Characteristics of Organizational Structure That Supports Digital Transformation. (Eds) International Scientific Conference Strategic Management and Decision Support Systems in Strategic Management.
• MURŞIT, I. and ANDEROL, H.Ö. (2020). Endüstri 4.0 Farkındalığı ve İşgücü Nitelikleri Üzerine Etkileri: Süleyman Demirel Üniversitesi Öğrencileri Üzerine Bir Araştırma. Avrasya Uluslararası Araştırmalar Dergisi,8, 24, 86-112.2147-2610.
• NAKIP, M. (2006). Pazarlama Araştırmaları, Teknikler ve (SPSS destekli) Uygulamalar, Seçkin Yayıncılık.9750203100.
• NOFITA, M. and SEBASTIAN, D. (2022). Technology Acceptance Models Pada Teknologi Digital: Survey Paper. KONSTELASI: Konvergensi Teknologi dan Sistem Informasi,2, 2.2776-3374.
• NUGROHO, M.A. and FAJAR, M.A. (2017). Effects of Technology Readiness Towards Acceptance of Mandatory Web-Based Attendance System. Procedia Computer Science,124, 319-328.1877-0509.
• OLIVEIRA, T., THOMAS, M. and ESPADANAL, M. (2014). Assessing The Determinants of Cloud Computing Adoption: An Analysis of the Manufacturing and Services Sectors. Information & Management,51, 5, 497-510.0378-7206.
• ÖZEKICI, Y.K. (2022). A Literature Review On Tourism Studies Based On Technology Acceptance Model (2000-2021). University of South Florida (USF) M3 Publishing,16, 9781955833080, 5.
• ÖZTEMEL, E. and GÜRSEV, S. (2018). Türkiye’de Lojistik Yönetiminde Endüstri 4.0 Etkileri ve Yatırım İmkanlarına Bakış Üzerine Anket Uygulaması. Marmara Fen Bilimleri Dergisi,30, 2, 145-154.
• PANDAY, R. (2015). Evaluation of Technology Readiness-Acceptance in Operation of Project Management Services. (Eds) Banda Aceh, Indonesia: Presenting and Publishing in Proceeding, At 1st Joint Conference Indonesia Malaysia, Bangladesh and Ireand at Ubudiyah Indonesia University.
• PARASURAMAN, A. (2000). Technology Readiness Index (TRI) A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of service research,2, 4, 307-320.
• PARASURAMAN, A., EDVARDSSON B., and GUSTAFSSON, A. (2004). The Impact of National Culture On Technology Readiness, Adoption, And Use. Paper Presented at The Ninth International Research Symposium On Service Excellence in Management, Karlstad, Sweden, June.
• PARASURAMAN, A. and COLBY, C.L. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research,18, 1, 59-74.
• PARVIAINEN, P., TIHINEN, M., KÄÄRIÄINEN, J. and TEPPOLA, S. (2017). Tackling The Digitalization Challenge: How to Benefit from Digitalization in Practice. International Journal of Information Systems and Project Management,5, 1, 63-77.2182-7788.
• RAHMAN, S.A., TAGHIZADEH, S.K., RAMAYAH, T. and ALAM, M.M.D. (2017). Technology Acceptance Among Micro-Entrepreneurs in Marginalized Social Strata: The Case of Social Innovation in Bangladesh. Technological Forecasting and Social Change,118, 236-245.0040-1625.
• RAMÍREZ-CORREA, P.E., GRANDÓN, E.E. and ARENAS-GAITÁN, J. (2019). Assessing Differences in Customers’ Personal Disposition to E-Commerce. Industrial Management & Data Systems.0263-5577.
• ROGERS, E. (1995). Diffusion of Innovations (4th Eds.) ACM The Free Press (Sept. 2001). New York, 15-23. RONDAN-CATALUÑA, F.J., ARENAS-GAITÁN, and J. RAMÍREZ-CORREA, P.E. (2015). A Comparison of the Different Versions of Popular Technology Acceptance Models: A Non-Linear Perspective. Kybernetes.0368-492X.
• SALAHSHOUR RAD, M., NILASHI, M and MOHAMED DAHLAN, H. (2018). Information Technology Adoption: A Review of the Literature and Classification. Universal Access in The Information Society,17, 2, 361-390.1615-5297.
• SHIN, S. and LEE, W.-J. (2014). The Effects of Technology Readiness and Technology Acceptance On NFC Mobile Payment Services in Korea. Journal of Applied Business Research (JABR),30, 6, 1615-1626.2157-8834.
• ŞEKKELI, Z.H. (2021). İKY 4.0. In: Çevik Tekin İ (ed) Güncel ve Teknolojik Gelişmeler Işığında İKY. Ankara: Nobel Yayınevi.978-625-439-435-5.
• ŞEKKELI, Z.H. (2022). Dijital Dönüşüm Yönetimi. In: Emini DDFT (ed) Sosyal, Beşeri ve İdari Bilimler XV. Konya: Eğitim Yayınevi, 169-189.978-625-8341-47-8.
• ŞEKKELI, Z.H., and BAKAN, İ. (2018). Akıllı Fabrikalar. Journal of Life Economics,5, 4, 203-220.2148-4139.
• TABACHNICK, B.G., FIDELL, L.S.and ULLMAN, J.B. (2012). Using Multivariate Statistics, 5th edt., Pearson. Boston, MA. TARCAN, E., VAROL, E.S. and TOKER, B. (2010). A Study On the Acceptance Of Information Technologies From The Perspectives Of The Academicians In Turkey. Ege Academic Review,10, 3, 791-812.1303-099X.
• TAYLOR, S. and TODD, P.A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research,6, 2, 144-176.1047-7047.
• TINMAZ, H. (2019). İktisadi ve İdari Bilimler Fakültesi Öğrencilerinin Teknolojik Hazırbulunuşlulukları Üzerine Bir Durum Çalışması. Mersin Üniversitesi Eğitim Fakültesi Dergisi,15, 2, 593-606.
• TORNATZKY, L.G., FLEISCHER, M. and CHAKRABARTI, A.K. (1990). Processes of Technological Innovation, Lexington Books.0669203483.
• TRENERRY, B., CHNG, S., WANG, Y., SUHAILA, Z.S., LIM, S.S., LU, H.Y. and OH, P.H. (2021). Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors. Frontiers in Psychology,12, 620766.1664-1078.
• URAL, A., and KILIÇ, İ. (2013). Bilimsel Araştırma Süreci ve SPSS Ile Veri Analizi, Detay Yayıncılık, 4. Baskı, Ankara,31.
• VAN DER HEIJDEN, H. (2003). Factors Influencing the Usage of Websites: The Case of a Generic Portal in The Netherlands. Information & Management,40, 6, 541-549.0378-7206.
• VENKATESH, V., and BALA, H. (2008). Technology Acceptance Model 3 And A Research Agenda On Interventions. Decision sciences,39, 2, 273-315.0011-7315.
• VENKATESH, V., and DAVIS, F.D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision sciences,27, 3, 451-481.0011-7315:
• VENKATESH, V., MORRIS, M.G., DAVIS, G.B. and DAVIS, F.D. (2003). User acceptance of information technology: Toward a Unified View. MIS quarterly, 425-478.0276-7783:
• VERINA, N., and TITKO, J. (2019). Digital Transformation: Conceptual Framework. (Eds) Proc. of the Int. Scientific Conference “Contemporary Issues in Business, Management and Economics Engineering’2019”, Vilnius, Lithuania. 9-10.
• VIAL, G. (2019). Understanding Digital Transformation: A Review and A Research Agenda. The Journal of Strategic Information Systems,28, 2, 118-144.0963-8687.
• WALCZUCH, R., LEMMINK, J. and STREUKENS, S. (2007). The Effect of Service Employees’ Technology Readiness On Technology Acceptance. Information & Management,44, 2, 206-215.0378-7206.
• WESTERMAN, G., BONNET, D., and MCAFEE, A. (2014). Leading Digital: Turning Technology into Business Transformation. Harvard Business Press.
• YANG, C., YAN, S., WANG, J. and. XUE, Y. (2022). Flow Experiences and Virtual Tourism: The Role of Technological Acceptance and Technological Readiness. Sustainability,14, 9, 5361.2071-1050.
• YELKIKALAN, N., ÖZCAN, S. and TEMEL, K. (2019). Endüstri 4.0 Farkındalığının Belirlenmesi: Çanakkale Onsekiz Mart Üniversitesi Örneği. Girişimcilik ve Kalkınma Dergisi, 14 (1), 31–44. (eds).
• YEN, J.-Y. and CHEN, S.-C. (2010). Perspectives from the TRAM Model on Adopting e-Learning: An Analysis of the Chain and Franchise Industry in Taiwan. 北商學報, 18, 17-37.1991-2587.
• YILDIZ, T. (2017). Yaklaşan 4. Endüstri Devrimi ve Türkiye’deki Mevcut Durum. İzmir İleri Teknoloji Enstitüsü, 1-18
• YUSUF, F., MIRANTIKA, N., SYAMFITHRIANI, T.S., DARMAWAN, E., and IRAWAN, D. (2021). Technology Readiness and Acceptance Model as A Factor for The Use Intention of LMS e-Learning in Kuningan University. (eds) Journal of Physics: Conference Series. IOP Publishing, 012005.