Investigation of the use of Teleworking Areas During The Covid-19 Pandemic: A Research on Participation Bank Employees

Year 2022, , 608 - 621, 30.11.2022

Alper Veli Çam , Abdulkadir Daştan

https://doi.org/10.29249/selcuksbmyd.1124790

Cited By: 1

Abstract

In the Covid-19 process, especially banks have started to actively use alternative workspaces. In this study, the effects of remote workspaces on the employees of participation banks were investigated in the Covid-19 process. The data obtained from 411 samples working in offices or branches in Participation Banks across Turkey were used. A total of 19 hypotheses created in the model were tested and the Technology Acceptance Model was used. Structural Equation Modeling was used to test this model. As a result of the study, it has been determined that the factors of employees' compliance with the teleworking system, time, perceived behavioral control and perceived ease of use positively affect the perceived benefit. In addition, facilitating conditions, anxiety, trust and self-efficacy factors were found to have a negative effect on perceived benefits.

Keywords

Banking, Teleworking, Technology Acceptance Model, Structural Equation Model

Covid-19 Pandemisi Süresince Uzaktan Çalışma Alanları Kullanımının İncelenmesi: Katılım Bankası Çalışanları Üzerinde Bir Araştırma

Abstract

Covid-19 sürecinde özellikle bankalar, alternatif çalışma alanlarını aktif olarak kullanmaya başlamıştır. Bu çalışmada, Covid-19 sürecinde uzaktan çalışma alanlarının katılım bankaları çalışanları üzerindeki etkileri araştırılmıştır. Türkiye genelindeki Katılım Bankalarında ofis veya şubede çalışan 411 örneklemden elde edilen veriler kullanılmıştır. Modelde oluşturulan toplam 19 hipotez test edilmiştir ve Teknoloji Kabul Modeli kullanılmıştır. Bu modelin test edilebilmesi için Yapısal Eşitlik Modelinden yararlanılmıştır. Çalışma sonucunda, çalışanların uzaktan çalışma sistemine uyumlulukları, zaman, algılanan davranışsal kontrolü ve algılanan kullanım kolaylıkları faktörlerinin, algılanan faydayı olumlu etkilediği tespit edilmiştir. Ayrıca çalışanların uzaktan çalışma sistemi için kolaylaştırıcı koşullar, endişe, güven ve öz yeterlilik faktörlerinin, algılanan faydayı olumsuz etkilediği tespit edilmiştir.

Keywords

Bankacılık, Uzaktan Çalışma, Teknoloji Kabul Modeli, Yapısal Eşitlik Modeli

References

• Ajzen, I., ve Fishbein, M. (1980). “Determinants of The Attitudinal and Normative Components”. Understanding Attitudes And Predicting” Social Behavior, s. 61-77.
• Agarwal, R., ve Prasad, J. (1997). “The Role of Innovation Characteristics and Perceived Voluntariness in The Acceptance of Information Technologies”. Decision sciences, 28(3), s. 557-582.
• Alpago, H., ve Alpago, D. O. (2020). “Korona Virüs ve Sosyoekonomik Sonuçlar”. IBAD Sosyal Bilimler Dergisi, (8), s. 99-114.
• Alrowili, T. F., Alotaibi, M. B., ve Alharbi, M. S. (2015l). “Predicting Citizens' Acceptance of M-Government Services in Saudi Arabia An Empirical Investigation”. In April 2015 Annual IEEE Systems Conference (SysCon) Proceedings s. 627-633.
• Altunışık, R., Çoşkun, R., Bayraktaroğlu, S. ve Yıldırım, E. (2005). Sosyal Bilimlerde Araştırma Yöntemleri: SPSS Uygulamalı. Sakarya Kitapevi, Sakarya.
• Bağlıbel, M., Samancıoğlu, M. ve Summak, M.S. (2010). “Okul Yöneticileri Tarafından E-Okul Uygulamasının Genişletilmiş Teknoloji Kabul Modeline Göre Değerlendirilmesi”. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 7(13), s. 331–348.
• Benbasat, I., ve Barki, H. (2007). “Quo Vadis TAM?”. Journal of The Association for Information Systems, 8(4), s. 211-218.
• Birch, A., ve Irvine, V. (2009). “Preservice Teachers’ Acceptance of ICT Integration in the Classroom: Applying The UTAUT Model”. Educational Media International, 46(4), s. 295-315.
• Bonacini, L., Gallo, G. ve Scicchitano, S. (2020). “All That Glitters is Not Gold. Effects of Working From Home on Income Inequality At The Time of Covid-19”. erişim tarihi 16.11.2021, https://www.econstor.eu/bitstream/10419/216901/1/GLO-DP-0541.pdf
• Burton-Jones, A. ve Hubona, G. S. (2006) “The Mediation of External Variables in The Technology Acceptance Model”. Information & Management, 43(6), s. 706-717.
• Cárdenas, J. ve Montana, J. (2020). Measuring The Share of Workers in Work-From-Homeandthose in Close Personal Proximity Occupations in a Developing Country. Documentosalianza : EFI
• Cleland-Huang, J., Chang, C. K., ve Christensen, M. (2003). “Event-Based Traceability for Managing Evolutionary Change”. IEEE Transactions on Software Engineering, 29(9), s. 796-810.
• Cone, D. M. (1987). Attitudes Toward Handicapped Students: Professional, Peer and Parent Reactions. The Psychological Record, 37(1), 145-156.
• Çam, H. (2016). Bulut Bilişim (Cloud Computing): Örnek Olay İncelemesi ve Yapısal Model Çıktıları (Turkish Edition). Türkiye Alim Kitapları:, Deutcland / Almanya
• Davis, F. D. (1989). “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology”. MIS Quarterly, 13(3), s. 319–340.
• Davis, F. D., Bagozzi, R. P., ve Warshaw, P. R. (1989). “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science”, 35(8), s. 982-1003.
• Delaporte, I. ve Peña, W. (2020). “Working from Home Under Covid-19: Who is Affected? Evidence From Latin American and Caribbean Countries”. erişim tarihi 16.12.2021, https://ideas.repec.org/p/zbw/glodps/528.html.
• Deloitte (2020), Annual Turkish M&A Review 2020, Deloitte Turkey, DLLT
• Dockery, M. ve Bawa, S. (2020). “Working from home in the Covid-19 lockdown”. erişim tarihi 12.10.2021, https://bcec.edu.au/assets/2020/05/BCEC-COVID19-Brief-4_Working-from-home.pdf
• Doğan, N. ve Başokçu, T. O. (2010). “İstatistik Tutum Ölçeği için Uygulanan Faktör Analizi ve Aşamalı Kümeleme Analizi Sonuçlarının Karşılaştırılması”. Journal Of Measurement and Evaluation in Education And Psychology, 1(2), s. 65–71.
• Fabrigar, L. R., ve Wegener, D. T. (2011). Exploratory Factor Analysis. Oxford University Press, England Fadinger, H. ve Schymik, J. (2020). “The effects of Working From Home on Covid-19 Infections and Production a Macroeconomic Analysis for Germany”. Covid Economics, 9(24), s. 107–139.
• Hatayama, M., Viollaz, M. ve Winkler, H. (2020). “Jobs Amenability to Working From Home: Evidence From Skills Surveys for 53 Countries”. erişim tarihi 21.09.2021 https://openknowledge.worldbank.org/bitstream/handle/10986/33753/Jobs-39-Amenability-to-Working-from-Home-Evidence-from-Skills-Surveys-for-53-Countries.pdf?sequence=5
• Horsham, C., Loescher, L. J., Whiteman, D. C., Soyer, H. P., ve Janda, M. (2016). “Consumer Acceptance of Patient‐Performed Mobile Teledermoscopy for The Early Detection of Melanoma”. British Journal of Dermatology, 175(6), s. 1301-1310.
• Horton, R. P., Buck, T., Waterson, P. E. ve Clegg, C. W. (2001). “Explaining Intranet Use with The Technology Acceptance Model”. Journal of Information Technology, 16(4), s. 237–249.
• Houssaını M.I. (2017), “The Acceptance of Mobile Travel Applications: A Research with The Integration of Technology Acceptance Model”, Yüksek Lisans Tezi, İstanbul: İstanbul Aydın Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul.
• Igbaria, M., Guimaraes, T. ve Davis, G. B. (1995). “Testing The Determinants of Microcomputer Usage Via a Structural Equation Model”. Journal of Management Information Systems, 11(4), s. 87–114.
• Irawanto, D. W. (2020). “Unexpected and Habit Driven: Perspectives of Working From Home During The Covid-19 Pandemic”. APMBA (Asia Pacific Management And Business Application), 8(3), s. 165–168.
• Jöreskog, K. G. ve Sörbom, D. (1996). LISREL 8: User’s Reference Guide. Scientific Software International, Sweden. Kıcır, B. (2019). “Evden Çalışma: Özgürlükmü Esaret mi?”. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 21(1), s. 173–196.
• Koçak, O. ve Ersin, K. (2011). “Bilgi Toplumunda Evden Çalışmanın Etik Boyutu”. Journal Of Social Policy Conferences, 0(59), s. 69-88.
• Kolatshi, F. H. M. (2017). Factors Affecting The Acceptance and Impact of Human Resource Information Systems (HRIS): Evidence From HR Professionals in Libyan Companies, University Of Huddersfield, United Kingdom.
• Lederer, A. L., Maupin, D.J., Sena, M. P., ve Zhuang, Y. (2000) “The Technology Acceptance Model and The World Wide Web”. Decision Support Systems, 29(3), s. 269-282.
• Meltem, A. ve Küçükoğlu, M. T. (2020). “Covid-19 ve İş Yaşamına Etkileri: Evden Çalışma”. Journal Of International Management Educational and Economics Perspectives, 8(1), s. 71–81.
• Menzi, N., Nezih, Ö. ve Çalışkan, E. (2012). “Mobil Teknolojilerin Eğitim Amaçlı Kullanımına Yönelik Akademisyen Görüşlerinin Teknoloji Kabul Modeli Çerçevesinde İncelenmesi”. Ege Eğitim Dergisi, 13(1), s. 39–55.
• Mustajab, D., Bauw, A., Rasyid, A., Irawan, A., Akbar, M. A. ve Hamid, M. A. (2020). “Working From Home Phenomenon as an Effort to Prevent COVID-19 Attacks and its Impacts on Work Productivity”. The International Journal of Applied Business, 4(1), s. 13–21.
• Noll, R. T. (2009). Physician Acceptance of Computerized Physician Order Entry in Outpatient Settings: A Quantitative Analysis of Family Medicine Within Maricopa County, Capella University, USA.
• Özdemir, A., ve Naserinia, M. (2020). “Investigating Consumer Behavior in Online Shoping Among Unıversity Students in Two Countries”. Research Journal of Business and Management, 7(1), s. 23-33.
• Park, J., Snell, W., Ha, S. ve Chung, T. L. (2011). “Consumers’ Post-Adoption of M-Services: Interest in Future M-Services Based on Consumer Evaluations of Current M-Services”. Journal of Electronic Commerce Research, 12(3), s. 165-175.
• Pavlou, P. A. (2003). “Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with The Technology Acceptance Model”. International Journal of Electronic Commerce, 7(3), s. 101–134.
• Pikkarainen, T., Pikkarainen, K., Karjaluoto, H. ve Pahnila, S. (2004). “Consumer Acceptance of Online Banking: An Extension of The Technology Acceptance Model”. Internet Research, 14(3), s. 224-235.
• Reisinger, Y. ve Turner, L. (1999). “Structural Equation Modeling with Lisrel: Application in Tourism”. Tourism Management, 20(1), s. 71–88.
• Rubin, O., Nikolaeva, A., Nello-Deakin, S. ve Te Brömmelstroet, M. (2020). “What Can We Learn From The COVID-19 Pandemic About How People Experience Working From Home and Commuting”. erişim tarihi 05.10.2021, https://urbanstudies.uva.nl/content/blog-series/covid-19- pandemic-working-from-home-and-commuting.html
• Sahni, A. (1994). “Incorporating Perceptions of Financial Control in Purchase Prediction: An Empirical Examination of The Theory of Planned Behavior”. Advances in Consumer Research 21 (1), s. 442-448.
• Serçemeli, M., ve Kurnaz, E. (2016). “Denetimde Bilgi Teknoloji Ürünleri Kullanımının Teknoloji Kabul Modeli (TKM) ile Araştırılması”. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 45(1), s. 43-52.
• Shivers‐Blackwell, S. L., ve Charles, A. C. (2006). “Ready, Set, Go: Examining Student Readiness to Use ERPTtechnology”. Journal of management Development, 25(8), s. 795-805.
• Smith, M. B. (1968). “Attitude Change”. International Encyclopedia of The Social Sciences, 1(17), s. 458-467.
• Snyder, R. E. (2019). “What’s The Big İdea?: “The Role of Social İnteraction as a Motivator in Online Classes”. erişim tarihi 06.10.2021, https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782231
• Turan, A. H. ve Özgen, F. B. (2009). “Türkiye’de E-Beyanname Sisteminin Benimsenmesi: Geliştirilmiş Teknoloji Kabul Modeli İle Ampirik Bir Çalışma”. Doğuş Üniversitesi Dergisi, 10 (1) 2009, s. 134-147
• Üstün, Ö., Çam, H ve Pourmouso, H. (2017). “Examination of The Factors Effective in The Use of The E-Government System with The Technology Acceptance Model”. Journal of Social and Administrative Sciences, 4(3), s. 250-265.
• Venkatesh, V. ve Davis, F. D. (2000). “A Theoretical Extension of The Technology Acceptance Model: Four Longitudinal Field Studies”. Management Science, 46(2), s. 186–204.
• Venkatesh, V., Morris, M. G., Davis, G. B. ve Davis, F. D. (2003). “User Acceptance of Information Technology: Toward a Unified View”. MIS Quarterly, s. 425–478.
• Weng, M. (2016). “The Acceptance of Wearable Devices for Personal Healthcare in China”. Yüksek Lisans Tezi, University Of Oulu, Finland.
• Wu, C. ve Hsing, S. S. (2006) “Less is More: How Scarcity Influences Consumers’ Value Perceptions and Purchase Intents through Mediating Variables”. The Journal of American Academy of Business, 9(2), s. 125-132.
• Yasenov, V. I. (2020). Who can work from home? erişim tarihi 08.08.2021https://www.econstor.eu/bitstream/10419/223639/1/dp13197.pdf