Paperless Technologies in Universities: Examination in Terms of Unified Theory of Acceptance and Use of Technology (UTAUT)
Abstract
:1. Introduction
2. Conceptual Framework
2.1. Paperless Technologies and Education
2.2. UTAUT
2.3. Relationships between Concepts and Hypothesis Development
3. Materials and Methods
3.1. Measurements
Dimensions | Item | Sources |
---|---|---|
Performance expectation | 4 | Venkatesh et al. [69], Catherine et al. [96], Nikolopoulou et al. [97], Çakır & Kazançoğlu [98] |
Effort expectation | 4 | Venkatesh et al. [69], Catherine et al. [96], Nikolopoulou et al. [97], Çakır & Kazançoğlu [98] |
Social impact | 4 | Venkatesh et al. [69], Catherine et al. [96], Nikolopoulou et al. [97], Çakır & Kazançoğlu [98] |
Behavioral intention | 4 | Venkatesh et al. [69], Catherine et al. [96], Nikolopoulou et al. [97] |
Actual usage | 4 | Hossain et al. [99], Nikolopoulou et al. [97] |
3.2. Participants and Procedure
4. Results
5. Conclusions and Discussion
6. Limitations and Recommendations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Connolly, T.F.; Kleiner, B.H. The paperless office of the future. Logist. Inf. Manag. 1993, 6, 40–43. [Google Scholar] [CrossRef]
- Cushman-Roisin, B. Forest and Paper Industry: A Mature Industry That Has Done Much to Clean Up Its Act. Thayer School of Engineering at Dartmouth. Available online: https://cushman.host.dartmouth.edu/courses/engs171/older/Paper.pdf (accessed on 15 January 2022).
- Obiora, S.C.; Bamisile, O.O.; Dodge, K.; Dagbasi, M. Identifying corporate socially responsible, cost minimizing, management, and energy saving techniques to be implemented on a university campus, through a paperless initiative. IOSR J. Bus. Manag. 2017, 19, 55–66. [Google Scholar] [CrossRef]
- TC Sanayi ve Teknoloji Bakanlığı. Kağıt Sektör Raporu. (Yayın No. 2020 SAR-KR-009). T.C Doğu Marmara Kalkınma Ajansı. 2020. Available online: https://www.kalkinmakutuphanesi.gov.tr/assets/upload/dosyalar/kagit-raporu.pdf (accessed on 17 June 2021).
- Bıyıkbeyi, T.; Taşlıyan, M. ISO 14001 Environmental Management Systems and Business Adaptation; Tekin, M., Mert, G., Eds.; Green Management; Nobel Academic Publishing: Rahim Yar Khan, Pakistan, 2022; pp. 373–403. [Google Scholar]
- Bıyıkbeyi, T. Is Paperless Organization Possible in the Digital World? In Organizational Behavior in the Digital World; Çögenli, M.Z., Ed.; Nova Sciences Pub: Hauppauge, NY, USA, 2023. [Google Scholar]
- Casey, D.C.; Lovato, C. Digital signatures and the paperless office. J. Internet Law 2014, 12, 1–13. [Google Scholar] [CrossRef]
- Chou, E.Y. Paperless and soulless: E-signatures diminish the Signer’s presence and decrease acceptance. Soc. Psychol. Personal. Sci. 2015, 6, 343–351. [Google Scholar] [CrossRef]
- McCormack, N. Mission impossible? The future of “paperless” library operations. Libr. Manag. 2011, 32, 279–289. [Google Scholar] [CrossRef]
- Schumaker, R.P.; Reganti, K.P. Implementation of electronic health record (EHR) system in the healthcare industry. Int. J. Priv. Health Inf. Manag. (IJPHIM) 2014, 2, 57–71. [Google Scholar] [CrossRef]
- Gates, P.; Urquhart, J. The electronic, ‘paperless’ medical office; Has it arrived? Intern. Med. J. 2008, 37, 108–111. [Google Scholar] [CrossRef] [PubMed]
- Dziamulych, M.; Stashchuk, O.; Korobchuk, T.; Mostovenko, N.; Martyniuk, R.; Strelkova, I.; Grebeniuk, N. Banking innovations and their influence on the formation of digital banking. Ad Alta J. Interdiciplinary Res. 2021, 11, 108–112. Available online: https://www.magnanimitas.cz/ADALTA/110221/papers/A_18.pdf (accessed on 2 June 2022).
- Larton Haberler, (3 Kasım 2021), Dünyada Kağıt Üretimi ve Tüketimi. Available online: https://www.larton.com.tr/dunyada-kagit-uretimi-ve-tuketimi/ (accessed on 4 February 2022).
- Cole, E.J.; Fieselman, L. A community-based social marketing campaign at Pacific University Oregon: Recycling, paper reduction, and environmentally preferable purchasing. Int. J. Sustain. High. Educ. 2013, 14, 176–195. [Google Scholar] [CrossRef]
- Arrieche, M.; Amalia, E. 3r (Reduce-Reuse-Recycle): Are They Practiced by University Professors When They Use Paper in Academic Activities? Revista ASA 2014, 1, 67–85. [Google Scholar]
- Küskü, F. Employee satisfaction in higher education: The case of academic and administrative staff in Turkey. Career Dev. Int. 2003, 8, 347–356. [Google Scholar] [CrossRef]
- Benavides, L.M.C.; Tamayo Arias, J.A.; Arango Serna, M.D.; Branch Bedoya, J.W.; Burgos, D. Digital transformation in higher education institutions: A systematic literature review. Sensors 2020, 20, 3291. [Google Scholar] [CrossRef]
- Camilleri, M.A.; Camilleri, A.C. The acceptance of learning management systems and video conferencing technologies: Lessons learned from COVID-19. Technol. Knowl. Learn. 2022, 27, 1311–1333. [Google Scholar] [CrossRef]
- Isaeva, M.; Yoon, H. Paperless university—How we can make it work? In Proceedings of the 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), Istanbul, Turkey, 8–10 September 2016. [Google Scholar] [CrossRef]
- Zhao, Y.; Llorente, A.M.P.; Gómez, M.C.S. Digital competence in higher education research: A systematic literature review. Comput. Educ. 2021, 168, 104212. [Google Scholar] [CrossRef] [PubMed]
- Mushhad, S.; Gilani, M.; Ahmed, J.; Abbas, M.A. Electronic document management: A paperless university model. In Proceedings of the 2009 2nd IEEE International Conference on Computer Science and Information Technology, Beijing, China, 8–11 August 2009; pp. 440–444. [Google Scholar] [CrossRef]
- Jervis, M.; Masoodian, M. How do people attempt to integrate the management of their paper and electronic documents? Aslib J. Inf. Manag. 2014, 66, 134–155. [Google Scholar] [CrossRef]
- Briscoe, M.D. The paperless office twenty years later: Still a myth? Sustain. Sci. Pract. Policy 2022, 18, 837–845. [Google Scholar] [CrossRef]
- Günerhan, S.; Günerhan, H. Türkiye için sürdürülebilir üniversite modeli. Mühendis Ve Makina 2016, 57, 54–62. Available online: https://dergipark.org.tr/tr/pub/muhendismakina/issue/48845/622289 (accessed on 15 January 2022).
- Yılmaz, M. The New Stage of Digital Transformation in Customs: Paperless Declaration Period in Exports. J. Cust. Trade 2019, 16, 99–100. Available online: https://dergipark.org.tr/tr/pub/gumrukticaretdergisi/issue/53312/708541 (accessed on 12 February 2021).
- Wang, J.; Lv, W. Research on the impact of green ınnovation network embeddedness on corporate environmental responsibility. Int. J. Environ. Res. Public Health 2023, 20, 3433. [Google Scholar] [CrossRef]
- Genesis, E.O.; Oluwole, O.N. Towards a “Paperless” higher education system in Nigeria: Concept, challenges and prospects. J. Educ. Soc. Behav. Sci. 2018, 24, 1–15. [Google Scholar] [CrossRef]
- Martins, C.; Oliveira, T.; Popovic, A. Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. Int. J. Inf. Manag. 2014, 34, 1–13. [Google Scholar] [CrossRef]
- Stöckel, F.; Karlsson, M. The Myth of the Paperless Office. Master’s Thesis, Umea University, Umea, Sweden, 2017. [Google Scholar]
- Lancaster, R.W. Toward Paperless Information Systems; Academic: New York, NY, USA, 1978. [Google Scholar]
- Limon, S. Hastanelerdeki tıbbi dokümanların geleneksel ortamdan elektronik ortama dönüşümü. Isparta Uygulamalı Bilimler Üniversitesi Uygulamalı Sosyal Bilimler ve Güzel Sanatlar Dergisi 2019, 1, 30–39. [Google Scholar]
- Fountain, J.E. Building the Virtual State: Information Technology and Institutional Change; Brookings Institution Press: Washington, DC, USA, 2004. [Google Scholar]
- TC Sağlık Bakanlığı. Dijital Hastane; 2023. Available online: https://dijitalhastane.saglik.gov.tr/ (accessed on 25 December 2023).
- Li, S. Trading Spaces: Science Libraries Confront Print’s Decline. The Chronicle of Higher Education, 6 August 2010. Available online: http://chronicle.com/blogPost/Trading-Spaces-Science/26025/?sid¼at&utm_source¼at&utm_medium¼en (accessed on 15 June 2020).
- Bonis, S.D.; Bonis, N.D. Going Green: Managing a Paperless Classroom. US-China Educ. Rev. 2011, 1, 83–87. [Google Scholar]
- Bravo Palacios, E.; Simons, M. Can I take a look at your notes?: A phenomenological exploration of how university students experience note-taking using paper-based and paperless resources. Educ. Philos. Theory 2021, 53, 1334–1349. [Google Scholar] [CrossRef]
- Jackson, S.E.; Ones, D.S.; Dilchert, S.; Kraiger, K. Managing Human Resources for Environmental Sustainability; John Wiley & Sons: New York, NY, USA, 2012. [Google Scholar]
- Carrio, A.; Riemer, M. Motivating energy conservation in the workplace: An evaluation of the use of group-level feedback and peer education. J. Environ. Psychol. 2011, 31, 1–13. [Google Scholar] [CrossRef]
- Al-Awadi, K.; Saidani, M. Justifying the need for a data security management plan for the UAE. Inf. Manag. Comput. Secur. 2010, 18, 173–184. [Google Scholar] [CrossRef]
- Arney, J.; Jones, I.; Wolf, A. Going green: Paperless technology and feedback from the classroom. J. Sustain. Green Bus. 2010, 1, 19–27. [Google Scholar]
- Suresh, S. Paperless education management. Stud. Indian Place Names 2020, 40, 358–365. [Google Scholar]
- Jampala, M.B.; Shivnani, T. A step towards sustainable development in higher education in India by implementing new media technologies: A paperless approach. World J. Sci. Technol. Sustain. Dev. 2019, 16, 94–100. [Google Scholar] [CrossRef]
- Agarwal, S.; Goel, D.; Sharma, A. Evaluation of the factors which contribute to the ocular complaints in computer users. J. Clin. Diagn. Res. 2013, 7, 331–335. [Google Scholar] [CrossRef]
- Moore, R.; Vitale, D.; Stawinoga, N. The Digital Divide and Educational Equity: A Look at Students with Very Limited Access to Electronic Devices at Home, Insights in Education and Work. ACT, Inc. 2018. Available online: https://files.eric.ed.gov/fulltext/ED593163.pdf (accessed on 13 February 2021).
- Pornphol, P.; Tongkeo, T. An Improved Paperless Process Model for Qualification Assurance in Higher Education. In Proceedings of the 2019 7th International Conference on Information and Education Technology, Aizu, Japan, 29–31 March 2019; pp. 132–139. [Google Scholar]
- Flam, M.W. “Going paperless”: The case for electronic submission of student work. Coll. Teach. 2014, 62, 1–2. [Google Scholar] [CrossRef]
- Leoste, J.; Õun, T.; Loogma, K.; San Martín López, J. Designing Training Programs to Introduce Emerging Technologies to Future Workers—A Pilot Study Based on the Example of Artificial Intelligence Enhanced Robotics. Mathematics 2021, 9, 2876. [Google Scholar] [CrossRef]
- Rogers, E. Diffusion of Innovation; Free Press: New York, NY, USA, 2003. [Google Scholar]
- Fishbein, M.; Ajzen, I. Belief, Attitude, Intention and Behavior: An Introduction to Theory Research; Addison-Wesley: Reading, MA, USA, 1975. [Google Scholar]
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Davis, F.D. A Technology Acceptance Model for Empirically Testing New End- User Information Systems: Theory and Results. Ph.D. Dissertation, Massachusetts Institute of Technology, MIT Sloan School of Management, Cambridge, MA, USA, 1985. [Google Scholar]
- Venkatesh, V.; Morris, M.G.; Davis, G.B. User acceptance of information technology: Toward a unified view. MIS Q. 2003, 27, 425–478. [Google Scholar] [CrossRef]
- Kuzu Demir, A.B.; Akbulut, Y. Çevrimiçi sosyal ağların öğretim amaçlı kabul ve kullanımı ölçeğinin geliştirilmesi. Turk. J. Comput. Math. Educ. 2017, 8, 52–82. [Google Scholar] [CrossRef]
- Voogt, J.; Roblin, N.P. 21st Century Skills. Discussion Paper; University of Twente: Enschede, The Netherlands, 2010. [Google Scholar]
- Leoste, J.; Jõgi, L.; Õun, T.; Pastor, L.; San Martín López, J.; Grauberg, I. Perceptions about the Future of Integrating Emerging Technologies into Higher Education—The Case of Robotics with Artificial Intelligence. Computers 2021, 10, 110. [Google Scholar] [CrossRef]
- Bouteraa, M.; Raja Hisham, R.R.I.; Zainol, Z. Challenges affecting bank consumers’ intention to adopt green banking technology in the UAE: A UTAUT-based mixed-methods approach. J. Islam. Mark. 2023, 14, 2466–2501. [Google Scholar] [CrossRef]
- Koçak Usluel, Y.; Mazman, S.G. Eğitimde yeniliklerin yayılımı, kabulü ve benimsenmesi sürecinde yer alan öğeler: Bir içerik analizi çalışması. Çukurova Üniversitesi Eğitim Fakültesi Dergisi 2010, 3, 60–74. [Google Scholar]
- Surry, D.W.; Farquhar, J.D. Diffusion theory and instructional technology. J. Instr. Sci. Technol. 1997, 2, 24–36. [Google Scholar]
- Davis, F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989, 13, 319–340. [Google Scholar] [CrossRef]
- Davis, F.D.; Bagozzi, R.P.; Warshaw, P.R. User acceptance of computer technology: A comparison of two theoretical models. Manag. Sci. 1989, 35, 982–1003. [Google Scholar] [CrossRef]
- Venkatesh, V.; Zhang, X. Unified theory of acceptance and use of technology: U.S. vs. China. J. Glob. Inf. Technol. Manag. 2010, 13, 5–27. [Google Scholar] [CrossRef]
- Mendoza, G.A.G.; Jung, I.; Kobayashi, S. A review of empirical studies on MOOC adaption: Applying the unified theory of acceptance and use of technology. Int. J. Educ. Media Technol. 2017, 11, 24–25. Available online: https://ijemt.org/index.php/journal/article/view/213 (accessed on 14 March 2021).
- Al-Qeisi, K.İ. Analysing the UTAUT Model in Explaining an Online Behaviour: Internet Banking Adoption. Ph.D. Thesis, Brunel Üniversitesi, London, UK, 2009. [Google Scholar]
- Öksüz Karademir, C.; Kuş, O. Exploring crypto-currency ownership in the context of technology acceptance model and technology adopter categories: Coin-optimistıics, observers and coin-sceptics. Ankara Üniversitesi Sosyal Bilimler Dergisi 2020, 11, 43–59. [Google Scholar] [CrossRef]
- Kalyoncuoğlu, S. Tüketicilerin online alışverişlerindeki sanal kart kullanımlarının teknoloji kabul modeli ile incelenmesi. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi 2018, 20, 193–213. [Google Scholar] [CrossRef]
- Ajzen, I.; Fishbein, M. Understanding Attitudes and Predicting Social Behavior; Prentice-Hall: Upper Saddle River, NJ, USA, 1980. [Google Scholar]
- Alleyne, P.; Lavine, M. Factors influencing accountants’ behavioural intentions to use and actual usage of enterprise resource planning systems in a global development agency. J. Financ. Rep. Account. 2013, 11, 179–200. [Google Scholar] [CrossRef]
- Chaouali, W.; Yahia, I.B.; Souiden, N. The interplay of counter-conformity motivation, social influence, and trust in customers’ intention to adopt internet banking services: The case of an emerging country. J. Retail. Consum. Serv. 2016, 28, 209–218. [Google Scholar] [CrossRef]
- Venkatesh, V.; Thong, J.Y.L.; Xu, X. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Q. 2012, 36, 157–178. [Google Scholar] [CrossRef]
- Brown, S.A.; Dennis, A.R.; Venkatesh, V. Predicting collaboration technology use: Integrating technology adoption and collaboration research. J. Manag. Inf. Syst. 2010, 27, 9–53. [Google Scholar] [CrossRef]
- AbuShanab, E.; Pearson, J.M.; Setterstrom, A.J. Internet banking and customers’ acceptance in Jordan: The unified model’s perspective. Commun. Assoc. Inf. Syst. 2010, 26, 493–524. [Google Scholar] [CrossRef]
- Foon, Y.S.; Fah, B.C.Y. Internet banking adoption in Kuala Lumpur: An application of UTAUT model. Int. J. Bus. Manag. 2011, 6, 161–167. [Google Scholar]
- Oliveira, T.; Thomas, M.; Baptista, G.; Campos, F. Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Comput. Hum. Behav. 2016, 61, 404–414. [Google Scholar] [CrossRef]
- Rahi, S.; Othman Mansour, M.M.; Alghizzawi, M.; Alnaser, F.M. Integration of UTAUT model in internet banking adoption context. J. Res. Interact. Mark. 2019, 13, 411–435. [Google Scholar] [CrossRef]
- Chong, A.Y.L. Predicting m-commerce adoption determinants: A neural network approach. Expert Syst. Appl. 2013, 40, 523–530. [Google Scholar] [CrossRef]
- Kijsanayotin, B.; Pannarunothai, S.; Speedie, S.M. Factors influencing health information technology adoption in Thailand’s community health centres: Applying the UTAUT model. Int. J. Med. Inform. 2009, 78, 404–416. [Google Scholar] [CrossRef]
- Mathieson, K. Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Inf. Syst. Res. 1991, 2, 173–191. [Google Scholar] [CrossRef]
- Wu, M.Y.; Yu, P.Y.; Weng, Y.C. A study on user behavior for pass by UTAUT: Using Taiwan’s MRT as an example. Asia Pac. Manag. Rev. 2012, 17, 91–111. [Google Scholar]
- Awwad, M.S.; Al-Majali, S.M. Electronic library services acceptance and use: An empirical validation of unified theory of acceptance and use of technology. Electron. Libr. 2015, 33, 1100–1120. [Google Scholar] [CrossRef]
- Attuquayefio, S.; Addo, H. Using the UTAUT model to analyze students’ ICT adoption. Int. J. Educ. Dev. Using Inf. Commun. Technol. (IJEDICT) 2014, 10, 75–86. [Google Scholar]
- Chua, P.Y.; Rezaei, S.; Gu, M.-L.; Oh, Y.; Jambulingam, M. Elucidating social networking apps decisions: Performance expectancy, effort expectancy and social influence. Nankai Bus. Rev. Int. 2018, 9, 118–142. [Google Scholar] [CrossRef]
- Kim, B.G.; Park, S.C.; Lee, K.J. A structural equation modeling of the Internet acceptance in Korea. Electron. Commer. Res. Appl. 2007, 6, 425–432. [Google Scholar] [CrossRef]
- Isaac, O.; Abdullah, Z.; Ramayah, T.; Mutahar, A.M. Internet usage, user satisfaction, task-technology fit, and performance impact among public sector employees in Yemen. Int. J. Inf. Learn. Technol. 2017, 34, 210–241. [Google Scholar] [CrossRef]
- Holden, R.J.; Karsh, B.T. The technology acceptance model: Its past and its future in health care. J. Biomed. Inform. 2010, 43, 159–172. [Google Scholar] [CrossRef]
- Maillet, É.; Mathieu, L.; Sicotte, C. Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT. Int. J. Med. Inform. 2015, 84, 36–47. [Google Scholar] [CrossRef]
- Wang, M.; Cho, S.; Denton, T. The impact of personalization and compatibility with past experience on e-banking usage. Int. J. Bank Mark. 2017, 35, 45–55. [Google Scholar] [CrossRef]
- Venkatesh, V.; Davis, F.D. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Manag. Sci. 2000, 46, 186–204. [Google Scholar] [CrossRef]
- Yang, K. Determinants of US consumer mobile shopping services adoption: Implications for designing mobile shopping services. J. Consum. Mark. 2010, 27, 262–270. [Google Scholar] [CrossRef]
- Segrest, S.L.; Domke-Damonte, D.J.; Miles, A.K.; Anthony, W.P. Following the crowd: Social influence and technology usage. J. Organ. Change Manag. 1998, 11, 425–445. [Google Scholar] [CrossRef]
- Hair, J.F., Jr.; Anderson, R.E.; Tatham, R.L.; Black, W.C. Multivariate Data Analysis; Macmillan: New York, NY, USA, 2014. [Google Scholar]
- Barrett, P. Structural equation modelling: Adjudging model fit. Personal. Individ. Differ. 2007, 42, 815–824. [Google Scholar] [CrossRef]
- Kline, R.B. Principles and Practice of Structural Equation Modeling, 3rd ed.; Guilford Press: New York, NY, USA, 2011. [Google Scholar]
- Navarro, M.M.; Prasetyo, Y.T.; Young, M.N.; Nadlifatin, R.; Redi, A.A.N.P. The perceived satisfaction in utilizing learning management system among engineering students during the COVID-19 pandemic: Integrating task technology fit and extended technology acceptance model. Sustainability 2021, 13, 10669. [Google Scholar] [CrossRef]
- Wang, Y.; Wang, S.; Wang, J.; Wei, J.; Wang, C. An empirical study of consumers’ intention to use ride-sharing services: Using an extended technology acceptance model. Transportation 2020, 47, 397–415. [Google Scholar] [CrossRef]
- Kim, T.G.; Lee, J.H.; Law, R. An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model. Tour. Manag. 2018, 29, 500–513. [Google Scholar] [CrossRef]
- Catherine, N.; Geofrey, K.M.; Aballo, G. Effort expectancy, performance expectancy, social influence and facilitating conditions as predictors of behavioural intentions to use ATMs with fingerprint authentication in Ugandan banks. Glob. J. Comput. Sci. Technol. 2017, 17, 9–25. Available online: https://globaljournals.org/GJCST_Volume17/2-Effort-Expectancy-Performance.pdf (accessed on 22 April 2021).
- Nikolopoulou, K.; Gialamas, V.; Lavidas, K. Acceptance of mobile phone by university students for their studies: An investigation applying UTAUT2 model. Educ. Inf. Technol. 2020, 25, 4139–4155. [Google Scholar] [CrossRef]
- Çakır, İ.; Kazançoğlu, İ. Sanal market alışverişi yapma niyetinde genişletilmiş teknoloji kabul modeli bileşenleri ile risk algılarının etkisi. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi 2020, 18, 305–326. [Google Scholar] [CrossRef]
- Hossain, M.A.; Hasan, M.I.; Chan, C.; Ahmed, J.U. Predicting user acceptance and continuance behaviour towards location-based services: The moderating effect of facilitating conditions on behavioural intention and actual use. Australas. J. Inf. Syst. 2017, 21, 1–22. [Google Scholar] [CrossRef]
- Dash, G.; Paul, J. CB-SEM vs. PLS-SEM methods for research in social sciences and technology forecasting. Technol. Forecast. Soc. Change 2021, 173, 121092. [Google Scholar] [CrossRef]
- Fornell, C.; Larcker, D. Evaluating structural equation models with unobservable variable and measurement error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
- Park, I.; Kim, D.; Moon, J.; Kim, S.; Kang, Y.; Bae, S. Searching for new technology acceptance model under social context: Analyzing the determinants of acceptance of intelligent information technology in digital transformation and implications for the requisites of digital sustainability. Sustainability 2022, 14, 579. [Google Scholar] [CrossRef]
- Vorm, E.S.; Combs, D.J. Integrating transparency, trust, and acceptance: The intelligent systems technology acceptance model (ISTAM). Int. J. Hum.–Comput. Interact. 2022, 38, 1828–1845. [Google Scholar] [CrossRef]
- Venkatesh, V.; Bala, H. Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 2008, 39, 273–315. [Google Scholar] [CrossRef]
- Zheng, K.; Kumar, J.; Kunasekaran, P.; Valeri, M. Role of smart technology use behaviour in enhancing tourist revisit intention: The theory of planned behaviour perspective. Eur. J. Innov. Manag. 2022. [Google Scholar] [CrossRef]
- Saxena, U.; Kumar, V. Mobile augmented reality: In reference to UTAUT Perspective in Relation to Smart Tourism. J. Xi’Univ. Archit. Technol 2020, 17, 600–613. [Google Scholar]
- Moura, A.C.D.; Gosling, M.D.S.; Christino, J.M.M.; Macedo, S.B. Acceptance and use of technology by older adults for choosing a tourism destination: A study using UTAUT2. Rev. Bras. Pesqui. Tur. 2017, 11, 239–269. [Google Scholar] [CrossRef]
- Ho, R.C.; Amin, M. What drives the adoption of smart travel planning apps? The relationship between experiential consumption and mobile app acceptance. KnE Soc. Sci. 2019, 3, 22–41. [Google Scholar] [CrossRef]
- Jayawardena, C.; Ahmad, A.; Valeri, M.; Jaharadak, A.A. Technology acceptance antecedents in digital transformation in hospitality industry. Int. J. Hosp. Manag. 2023, 108, 103350. [Google Scholar] [CrossRef]
- Iancu, I.; Iancu, B. Interacting with chatbots later in life: A technology acceptance perspective in COVID-19 pandemic situation. Front. Psychol. 2022, 13, 1111003. [Google Scholar] [CrossRef] [PubMed]
- Kamal, S.A.; Shafiq, M.; Kakria, P. Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technol. Soc. 2020, 60, 101212. [Google Scholar] [CrossRef]
- Guner, H.; Acarturk, C. The use and acceptance of ICT by senior citizens: A comparison of technology acceptance model (TAM) for elderly and young adults. Univ. Access Inf. Soc. 2020, 19, 311–330. [Google Scholar] [CrossRef]
- Rafique, H.; Almagrabi, A.O.; Shamim, A.; Anwar, F.; Bashir, A.K. Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Comput. Educ. 2020, 145, 103732. [Google Scholar] [CrossRef]
- Dhagarra, D.; Goswami, M.; Kumar, G. Impact of trust and privacy concerns on technology acceptance in healthcare: An Indian perspective. Int. J. Med. Inform. 2020, 141, 104164. [Google Scholar] [CrossRef]
- Byström, K. From paperless offices to peopleless offices: The effects of enforced ICT usage during COVID-19 lockdowns on workplace information practices. In The Usage and Impact of ICTs during the COVID-19 Pandemic; Routledge: London, UK, 2003; pp. 221–247. [Google Scholar]
- Bakar, A.; Albahri, F.P. Letter archivement information system in department earth engineering faculty of engineering universitas Syiah Kuala based on paperless office. J. Dekstop Appl. (JDA) 2022, 1, 20–30. [Google Scholar] [CrossRef]
- Granić, A.; Marangunić, N. Technology acceptance model in educational context: A systematic literature review. Br. J. Educ. Technol. 2019, 50, 2572–2593. [Google Scholar] [CrossRef]
- Drueke, B.; Mainz, V.; Lemos, M.; Wirtz, M.A.; Boecker, M. An evaluation of forced distance learning and teaching under pandemic conditions using the technology acceptance model. Front. Psychol. 2021, 12, 701347. [Google Scholar] [CrossRef] [PubMed]
- Ndebele, C.; Mbodila, M. Examining technology acceptance in learning and teaching at a historically disadvantaged university in South Africa through the technology acceptance Model. Educ. Sci. 2022, 12, 54. [Google Scholar] [CrossRef]
- Öngel, V.; Yavuz, M.S.; Tatlı, H.S. Factors affecting digital literacy of human resources. Управленец Upravlenets 2022, 13, 68–83. [Google Scholar] [CrossRef]
- Erdal, G.; Çallı, A. Çiftçilerin bilgisayar ve internet kullanımı üzerine bir araştırma: Denizli ili Çivril ilçesi örneği. Gaziosmanpaşa Bilimsel Araştırma Dergisi 2013, 8, 71–81. [Google Scholar]
- Uyar, M.; Hasdemir, T. Çocukların internete erişimleri ve kullanım becerileri: Ankara ili örneği. Ufuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 2021, 10, 7–38. [Google Scholar]
- Li, J.; Chen, L.; Chen, Y.; He, J. Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China. Manag. Decis. Econ. 2021, 43, 616–629. [Google Scholar] [CrossRef]
- Molla, A.; Cooper, V.; Corbitt, B.; Deng, H.; Peszynski, K.; Pittayachawan, S.; Teoh, S.Y. E-readiness to G-readiness: Developing a green information technology readiness framework. In Proceedings of the Association for Information Systems AIS Electronic Library (AISeL), 19th Australasian Conference on Information Systems, Christchurch, New Zealand, 3–5 December 2008; pp. 669–678. [Google Scholar]
- Ershadi, M.J.; Qhanadi Taghizadeh, O.; Hadji Molana, S.M. Selection and performance estimation of Green Lean Six Sigma Projects: A hybrid approach of technology readiness level, data envelopment analysis, and ANFIS. Environ. Sci. Pollut. Res. 2021, 28, 29394–29411. [Google Scholar] [CrossRef]
- Ho, C.W.; Wu, C.C. Exploring intention toward using an electric scooter: Integrating the technology readiness and acceptance into norm activation model (TRA-NAM). Energies 2021, 14, 6895. [Google Scholar] [CrossRef]
- Anser, M.K.; Yousaf, Z.; Zaman, K. Green technology acceptance model and green logistics operations: To see which way the wind is blowing. Front. Sustain. 2020, 1, 3. [Google Scholar] [CrossRef]
- Dewi, G.M.M.; Joshua, L.; Ikhsan, R.B.; Yuniarty, Y.; Sari, R.K.; Susilo, A. Perceived risk and trust in adoption E-wallet: The role of perceived usefulness and ease of use. In Proceedings of the 2021 International Conference on Information Management and Technology (ICIMTech), Jakarta, Indonesia, 19–20 August 2021; Volume 1, pp. 120–124. [Google Scholar]
- Chen, L.; Aklikokou, A.K. Determinants of E-government adoption: Testing the mediating effects of perceived usefulness and perceived ease of use. Int. J. Public Adm. 2020, 43, 850–865. [Google Scholar] [CrossRef]
- Huang, F.; Teo, T.; Scherer, R. Investigating the antecedents of university students’ perceived ease of using the Internet for learning. Interact. Learn. Environ. 2020, 30, 1060–1076. [Google Scholar] [CrossRef]
- Sorkun, M.F.; Yurt, O.; Hsuan, J. Service modularity in e-learning programs: An analysis from the perceived usefulness perspective. Int. J. Oper. Prod. Manag. 2022, 42, 637–660. [Google Scholar] [CrossRef]
- Tatlı, H.S.; Yavuz, M.S.; Öngel, G. The mediator role of task performance in the effect of digital literacy on firm performance. Mark. Manag. Innov. 2023, 14, 75–86. [Google Scholar] [CrossRef]
- Sharif Abbasi, M.; Hussain Chandio, F.; Fatah Soomro, A.; Shah, F. Social influence, voluntariness, experience and the internet acceptance: An extension of technology acceptance model within a South-Asian country context. J. Enterp. Inf. Manag. 2011, 24, 30–52. [Google Scholar] [CrossRef]
- Tatlı, H.S.; Öngel, G. COVID-19 döneminde dijitalleşme ve zorlayıcı faktörler: Yeni kurumsal kuram açısından bir inceleme. In Salgın Sonrası Dönemde Yeni “Dijital” Normal; Ada, S., Ed.; Nobel Akademik Yayıncılık Eğitim Danışmanlık Tic. Ltd.: Ankara, Türkiye, 2021; Volume 1, pp. 39–55. [Google Scholar]
Theory and Models | Dimensions in Theories and Models | Descriptions |
---|---|---|
Diffusion of Innovation Theory | Relative benefit, complexity, relevance, experience, ability, observability. | According to Rogers [48], in the acceptance of innovations, the usefulness of the new compared to the old (relative benefit), ease of use (complexity), compatibility of the new with values, expectations, and experiences (compatibility), being testable (experiential), and the ability to examine the way other individuals use the new (observability) are important. |
Theory of Reasoned Behavior | Attitude, specific norms, intention. | According to [49], in accepting innovations, the individual’s positive and negative value judgments, social pressures, and users’ readiness to use innovations are important. |
Technology Acceptance Model | Usefulness, ease of use, attitude, intention. | According to the technology acceptance model [59], which tries to explain individuals’ tendencies to accept new technologies, the most important elements for individuals to accept new technologies are benefits and ease of use. In addition, external factors constitute the independent variable of the model [51,60]. |
Planned Behavior Approach | Attitude, specific norms, behavioral control, intention. | Locus of control within the scope of the planned behavior approach [50], which is based on the theory of reasoned behavior, refers to the “sufficiency of the individual to perform a behavior”. |
Unified Theory of Acceptance and Use of Technology (UTAUT) | Performance expectation, effort expectation, social impact, facilitating elements, intent to use, attitude, actual behavior | It was created to overcome the shortcomings of other approaches [52]. In the UTAUT, significant variables are performance expectation, effort required by the new technology, social impact, and ease of use [52,61]. Additionally, there are four moderating variables (gender, age, experience, volunteering) in the model. |
Component | |||||
---|---|---|---|---|---|
Actual Usage | Behavioral Intention | Social Impact | Effort Expectation | Performance Expectation | |
q24 | 0.851 | ||||
q22 | 0.846 | ||||
q23 | 0.832 | ||||
q25 | 0.730 | ||||
q18 | 0.872 | ||||
q19 | 0.828 | ||||
q17 | 0.808 | ||||
q20 | 0.632 | ||||
q12 | 0.839 | ||||
q9 | 0.828 | ||||
q11 | 0.804 | ||||
q10 | 0.780 | ||||
q7 | 0.800 | ||||
q8 | 0.794 | ||||
q6 | 0.761 | ||||
q5 | 0.652 | ||||
q2 | 0.803 | ||||
q1 | 0.774 | ||||
q3 | 0.662 | ||||
q4 | 0.448 | ||||
Variance Explained | 16.92% | 15.93% | 15.04% | 14.99% | 13.03% |
X2/Df | GFI | CFI | TLI | RMSEA | NFI | RMR | AGFI | |
---|---|---|---|---|---|---|---|---|
Fit indices | 3.567 | 0.927 | 0.962 | 0.954 | 0.61 | 0.949 | 0.037 | 0.902 |
Acceptable fit | 5 | 0.85 | 0.90 | 0.9 | 0.8 | 0.90 | 0.10 | 0.85 |
Good fit | 3 | 0.95 | 0.95 | 0.95 | 0.05 | 0.95 | 0.05 | 0.95 |
Variables | AVE | CR | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|---|---|
Performance expectation (1) | 0.54 | 0.82 | 0.74 | ||||
Effort expectation (2) | 0.66 | 0.89 | 0.712 | 0.81 | |||
Social impact (3) | 0.57 | 0.84 | 0.488 | 0.422 | 0.76 | ||
Behavioral intention (4) | 0.72 | 0.91 | 0.737 | 0.622 | 0.399 | 0.85 | |
Actual usage (5) | 0.79 | 0.94 | 0.67 | 0.685 | 0.467 | 0.558 | 0.88 |
X | Y | Estimate | p | |
---|---|---|---|---|
Performance expectation | → | Behavioral intention | 0.469 | 0.000 |
Effort expectation | → | Behavioral intention | 0.272 | 0.000 |
Social impact | → | Behavioral intention | 0.066 | 0.024 |
Behavioral intention | → | Actual usage | 0.550 | 0.000 |
X | M | Y | Estimate | p | ||
---|---|---|---|---|---|---|
Social impact | → | Behavioral intention | → | Actual usage | 0.036 | 0.049 |
Effort expectation | → | Behavioral intention | → | Actual usage | 0.15 | 0.010 |
Performance expectation | → | Behavioral intention | → | Actual usage | 0.258 | 0.010 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Tatlı, H.S.; Bıyıkbeyi, T.; Gençer Çelik, G.; Öngel, G. Paperless Technologies in Universities: Examination in Terms of Unified Theory of Acceptance and Use of Technology (UTAUT). Sustainability 2024, 16, 2692. https://doi.org/10.3390/su16072692
Tatlı HS, Bıyıkbeyi T, Gençer Çelik G, Öngel G. Paperless Technologies in Universities: Examination in Terms of Unified Theory of Acceptance and Use of Technology (UTAUT). Sustainability. 2024; 16(7):2692. https://doi.org/10.3390/su16072692
Chicago/Turabian StyleTatlı, Hasan Sadık, Tuba Bıyıkbeyi, Gülşah Gençer Çelik, and Gökten Öngel. 2024. "Paperless Technologies in Universities: Examination in Terms of Unified Theory of Acceptance and Use of Technology (UTAUT)" Sustainability 16, no. 7: 2692. https://doi.org/10.3390/su16072692
APA StyleTatlı, H. S., Bıyıkbeyi, T., Gençer Çelik, G., & Öngel, G. (2024). Paperless Technologies in Universities: Examination in Terms of Unified Theory of Acceptance and Use of Technology (UTAUT). Sustainability, 16(7), 2692. https://doi.org/10.3390/su16072692