The Mediating Effect of Perceived Ease of Use on the Relationship Between Communication Overload and Job Performance

Yıl 2023, , 825 - 841, 30.10.2023

Kasım Yılmaz

https://doi.org/10.26466/opusjsr.1363666

Öz

While developments in information and communication technology have made access to information easier and faster, they can also bring about unique challenges. Communication overload is one of these challenges. The aim of this research is to examine the interaction between communication overload and job performance from the perspective of employees and to investigate the mediating effect of perceived ease of use related to information and communication technology in this relationship. The research was conducted by collecting data through survey among Karabük University employees in 2023. Data obtained from 408 employees of Karabük University were analyzed using SPSS 26 software package. The relationships between variables were examined using Pearson Correlation test, and the mediating effect was analyzed through multiple regression analyses. The research results revealed a weak negative relationship between communication overload and job performance as well as a strong positive relationship between perceived ease of use and job performance. The results of the multiple regression analysis indicate that perceived ease of use plays a mediating role in the relationship between communication overload and job performance.

Anahtar Kelimeler

Communication overload, perceived ease of use, job performance, mediation effect

Kaynakça

• Akça, Y., & Özer, G. (2012). Teknoloji kabul modeli’nin kurumsal kaynak planlaması uygulamalarında kullanılması (The Use of Technology Acceptance Model in Enterprise Resource Planning Implementations). Business and Economics Research Journal, 3(2), 79-96.
• Akgül, A. ve Çevik, O. (2003). İstatistiksel analiz teknikleri spss’te işletme yönetimi uygulamaları. Ankara: Emek Ofset.
• Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173.
• Barrett, A. K., Ford, J., & Zhu, Y. (2022). Communication overload in hospitals: Exploring organizational safety communication, worker job attitudes, and communication efficacy. Health Communication, 1-15.
• Batista, J. C. L., & Marques, R. P. F. (2017). An overview on information and communication overload. Information and communication overload in the digital age, 1-19.
• Bawden, D., & Robinson, L. (2009). The dark side of information: overload, anxiety and other paradoxes and pathologies. Journal of Information Science, 35(2), 180-191.
• Befort, N., & Hattrup, K. (2003). Valuing task and contextual performance: Experience, job roles, and ratings of the importance of job behaviors. Applied HRM Research, 8(1), 17-32.
• Büyüköztürk, Ş. (2002). Faktör analizi: Temel kavramlar ve ölçek geliştirmede kullanımı. Kuram ve uygulamada eğitim yönetimi, 32(32), 470-483.
• Chen, L., & Aklikokou, A. K. (2020). Determinants of E-government adoption: testing the mediating effects of perceived usefulness and perceived ease of use. International Journal of Public Administration, 43(10), 850-865.
• Cho, J., Ramgolam, D. I., Schaefer, K. M., & Sandlin, A. N. (2011). The rate and delay in overload: An investigation of communication overloadand channel synchronicity on identification and job satisfaction. Journal of Applied Communication Research, 39(1), 38-54.
• Cho, J. (2017). Communication load. The International Encyclopedia of Organizational Communication, 1-9.
• Chung, C. J., & Goldhaber, G. (1991, May). Measuring communication load: A three-dimensional instrument. In meeting of the International Communication Association, Chicago.
• Cortina, J. M., & Luchman, J. N. (2012). Personnel selection and employee performance. Handbook of Psychology, Second Edition, 12.
• Çöl, G. (2008). Algilanan Güçlendirmenin İşgören Performansi Üzerine Etkileri. Doğuş Üniversitesi Dergisi, 9(1), 35-46.
• Davis, F.D. (1989). Perceive usefulness, perceived of ease of use, and end user acceptance of information technology. MIS Quarterly, 13, 318-339.
• Davis, F.D., Bagozzi, R.P. & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
• Delpechitre, D., Black, H. G., & Farrish, J. (2018). The dark side of technology: examining the impact of technology overload on salespeople. Journal of Business & Industrial Marketing, 34(2), 317-337.
• Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing—a study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Management, 40, 141–152.
• Dilekçi, Ü., & Limon, İ. (2020). Covıd-19 Salgını Bağlamında Öğretmenlerin Algıladıkları “Aşırı İletişim Yükü” Düzeyi. Milli Eğitim Dergisi, 49(1), 231-252.
• Doğan, H. (2018). Örgütsel Adalet Algisi İle İş Performansi Arasindaki İlişki. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 20(2), 26-46.
• Dursun, B. O. Z., Duran, C., & Uğurlu, A. (2020). Girişimcilik eğiliminin iş performansına etkisi. Girişimcilik ve Kalkınma Dergisi, 15(1), 11-23.
• Eliyana, A., Ajija, S. R., Sridadi, A. R., Setyawati, A., & Emur, A. P. (2020). Information Overload and Communication overload on Social Media Exhaustion and Job Performance. Systematic Reviews in Pharmacy, 11(8).
• Ellwart, T., Happ, C., Gurtner, A., & Rack, O. (2015). Managing information overload in virtual teams: Effects of a structured online team adaptation on cognition and performance. European Journal of Work and Organizational Psychology, 24(5), 812-826.
• Fan, M., Huang, Y., Qalati, S. A., Shah, S. M. M., Ostic, D., & Pu, Z. (2021). Effects of information overload, communication overload, and inequality on digital distrust: A cyber-violence behavior mechanism. Frontiers in psychology, 12, 643981.
• Fleishman, E. A. (1975). Toward a taxonomy of human performance. American Psychologist, 30(12), 1127. Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M. (2020). Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management, 57(6), 102307.
• Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the association for Information Systems, 1(1), 8.
• Gilboa, S., Shirom, A., Fried, Y., & Cooper, C. (2008). A meta‐analysis of work demand stressors and job performance: examining main and moderating effects. Personnel psychology, 61(2), 227-271.
• Giri, V. N., & Pavan Kumar, B. (2010). Assessing the impact of organizational communication on job satisfaction and job performance. Psychological Studies, 55, 137-143.
• Görhan, M. F., & Öncü, S. (2015). Öğretmen ve idareci gözünde etkileşimli tahta: kullanım kolaylığı ve yarar algısı üzerine bir durum çalışması. Journal of Teacher Education and Educators, 4(1), 53-77.
• Hashim, S. F. S. M., & Ismail, Z. (2013, April). Relationship on perceived ease of use of electronic document towards job performance. In 2013 IEEE Business Engineering and Industrial Applications Colloquium (BEIAC) (pp. 11-16). IEEE.
• Hsu, C. L., & Lin, J. C. C. (2016). An empirical examination of consumer adoption of Internet of Things services: Network externalities and concern for information privacy perspectives. Computers in human behavior, 62, 516-527.
• Iswanto, D., Ahadiat, A., & Ribhan, R. (2021). The effect of perceived usefulness and perceived ease of use whatsapp on employee engagement and employee performance. International Journal of Economics, Business, and Entrepreneurship, 4(2), 77-86.
• Kabakuş, A. K., & Küçükoğlu, H. (2022). The effect of trust on mobile banking usage: The mediating roles of perceived usefulness and perceived ease of use. Ekonomski vjesnik/Econviews-Review of Contemporary Business, Entrepreneurship and Economic Issues, 35(2), 231-246.
• Kalaycı, Ş. (2010). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, 5. Baskı, Ankara: Asil Yayın Dağıtım. Karr-Wisniewski, P., & Lu, Y. (2010). When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5), 1061–1072.
• Kaymaz, A. (2021). Uzaktan eğitim sürecinde değişen iş yükü ve etkilerine ilişkin öğretmen görüşleri. Uluslararası Liderlik Eğitimi Dergisi, 1(I), 71-85.
• Keil, M., Beranek, P. M., & Konsynski, B. R. (1995). Usefulness and ease of use: field study evidence regarding task considerations. Decision support systems, 13(1), 75-91.
• Kırcaali-İftar, G., & Tekin, E. (1997). Tek denekli araştırma yöntemleri. Türk Psikologlar Derneği.
• Kirkman, B. L., & Rosen, B. (1999). Beyond self-management: Antecedents and consequences of team empowerment. Academy of Management journal, 42(1), 58-74.
• Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3), 607-610.
• Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in human behavior, 55, 51-61.
• Legris, P., Ingham, J. ve Collerette, P. (2003), “Why Do People Use Information Technology? A Critical Review of The Technology Acceptance Model”, Information & Management, Vol.40, s.191–204.
• McFarlane, D.C. and Latorella, K.A. (2002), “The scope and importance of human interruption in human-computer interaction design”, Human-Computer Interaction, Vol. 17 No. 1, pp. 1-61.
• Meier, R. L. (1963). Communications overload: Proposals from the study of a university library. Administrative Science Quarterly, 521-544.
• Men, L. R. (2022). How should organizations engage and build relationships with mobile publics on social messengers. Journal of Brand Management, 29(3), 311-325.
• Moen, H., Ginter, F., Marsi, E., Peltonen, L., Salakoski, T., & Salanterä, S. (2015). Care episode retrieval: Distributional semantic models for information retrieval in the clinical domain. BMC Medical Informatics and Decision Making, 15(S2).
• Mustapha, B., & Obid, S. N. B. S. (2015). Tax service quality: The mediating effect of perceived ease of use of the online tax system. Procedia-Social and Behavioral Sciences, 172, 2-9.
• Obi, J. N. (2015). Effective human resources management practices as the key to organizational performance. International journal of educational research, 3(1), 1-26.
• Ocak, A. (2023). Algılanan Kullanım Kolaylığı, Algılanan Fayda, Güven Duyma ve Keyif Alma Faktörleri İle Aynı Web Sitesi Üzerinden Yeniden Alışveriş Yapma Niyeti Arasındaki İlişki. İşletme Araştırmaları Dergisi, 15(2), 1165-1177.
• Omar, N., Munir, Z. A., Kaizan, F. Q., Noranee, S., & Malik, S. A. (2019). The Impact of Employees Motivation, Perceived Usefulness and Perceived Ease of Use on Employee Performance among Selected Public Sector Employees. International Journal of Academic Research in Business and Social Sciences, 9(6), 1128-1139.
• Organ, D. W., & Ryan, K. (1995). A meta‐analytic review of attitudinal and dispositional predictors of organizational citizenship behavior. Personnel psychology, 48(4), 775-802.
• Ou, M., Zheng, H., Kim, H. K., & Chen, X. (2023). A meta-analysis of social media fatigue: Drivers and a major consequence. Computers in Human Behavior, 140, 107597.
• Özbek, A. (2022). Öğretmenlerin algıladıkları aşırı iletişim yükünün öğretmenlerin iş performansı ve motivasyonlarına etkisinin kovid 19 salgını açısından incelenmesi (Master's thesis, İstanbul Sabahattin Zaim Üniversitesi).
• Özdamar, K. (2001). Paket Programlar ve İstatistiksel Veri Analizi (Çok Değişkenli Analizler). Eskişehir: Kaan Yayınları.
• Özer, G., Özcan, M., & Aktaş, S. (2010). Muhasebecilerin bilgi teknolojisi kullanımının teknoloji kabul modeli (TKM) ile incelenmesi. Yaşar Üniversitesi E-Dergisi, 5(19), 3278-3293.
• Özmutaf, N. M. (2007). “Örgütlerde Bireysel Performansı Unsurları ve Çatışma”. C.Ü. İktisadi ve İdari Bilimler Dergisi. 8 (2): 41–60.
• Panergayo, A. A. & Aliazas, J. V. C., (2021). Students' Behavioral Intention to Use Learning Management System: The Mediating Role of Perceived Usefulness and Ease of Use. International Journal of Information and Education Technology, 11(11), 538-545.
• Pang, H., & Ruan, Y. (2023). Can information and communication overloadinfluence smartphone app users' social network exhaustion, privacy invasion and discontinuance intention? A cognition-affect-conation approach. Journal of Retailing and Consumer Services, 73, 103378.
• Pang, H., Ruan, Y., & Wang, Y. (2023). Unpacking Detrimental Effects of Network Externalities on Privacy Invasion, Communication overloadand Mobile App Discontinued Intentions: A Cognition-Affect-Conation Perspective. Behavioral Sciences, 13(1), 47.
• Perez, L., Romo, L.K. & Bell, T., (2019). Communicatively exploring uncertainty management of parents of children with type 1 diabetes. Health Commun. 34, 949–957.
• Robinson, S. L., & Bennett, R. J. (1995). A typology of deviant workplace behaviors: A multidimensional scaling study. Academy of management journal, 38(2), 555-572.
• Sean Burns, C., & Bossaller, J. (2012). Communication overload: A phenomenological inquiry into academic reference librarianship. Journal of Documentation, 68(5), 597-617.
• Sigler, T. H., & Pearson, C. M. (2000). Creating an empowering culture: examining the relationship between organizational culture and perceptions of empowerment. Journal of quality management, 5(1), 27-52.
• Stephens, K. K., Mandhana, D. M., Kim, J. J., Li, X., Glowacki, E. M., & Cruz, I. (2017). Reconceptualizing communication overloadand building a theoretical foundation. Communication Theory, 27(3), 269-289.
• Şahin, Z., & Göktaş, M. (2023). Pandemi Sürecinde Öğretmenlerin Algıladığı Aşırı İletişim Yükü İle Mesleki Doyumları Arasındaki İlişkinin İncelenmesi. Yıldız Sosyal Bilimler Enstitüsü Dergisi, 7(1), 1-10.
• Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2013). Using multivariate statistics (Vol. 6, pp. 497-516). Boston, MA: Pearson.
• Temizkan, V., Nart, S. (2021), The Effects of Smartphone Usage Preferences of Consumers on the Buying Process Under the Scope of Mobile Technologies, Üçüncü Sektör Sosyal Ekonomi Dergisi, 56(2), 1148-1166
• Tuğtekin, U. (2022). Üniversite Öğrencilerinin Bilgi ve İletişim Teknolojileri Aşırı Yükleme ve Sosyal Ağ Tükenmişlik Durumlarının İncelenmesi. Yaşadıkça Eğitim, 36(1), 126-145.
• Turan, B. (2011). Bilgi ve iletişim teknolojileri kullanımının teknoloji kabul modeli ile incelenmesi ve sınıf öğretmenleri üzerinde bir uygulama (Master's thesis, Bilecik Üniversitesi, Sosyal Bilimler Enstitüsü).
• Turunç, Ö. & Turgut, H. (2020), Örgütsel Davranış, 46 Yaygın Değişken İncelemesi, Teori ve Uygulama, Siyasal Kitabevi, Ankara, 2020.
• Uzkurt, B. K., Atan, M., & Develi, A. (2022). Dijitalleşmenin İş Performansı, İş Tatmini ve Örgütsel Bağlılık Üzerine Etkileri 1. Third Sector Social Economic Review, 57(3), 1682-1700.
• Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Instrict Motivation and Emotion into the Technology Acceptance Model” Information Systems Research, Vol: 11. (4), s.342-365. Viswesvaran, C., & Ones, D. S. (2000). Perspectives on models of job performance. International Journal of Selection and Assessment, 8(4), 216-226.
• Yilmazer, A. (2012). “Yerel Yönetimlerde Kurumsal Bağlılığın Bireysel Performansa Etkisine İlişkin Bir Araştırma: Sakarya Büyükşehir Belediyesi Örneği”, Akademik İncelemeler Dergisi 7(1): 313-336.
• Young, A. (2013). Too much information ineffective intelligence collection. Harvard International Review, 35(1), 24.
• Yu, L., Cao, X., Liu, Z., & Wang, J. (2018). Excessive social media use at work: Exploring the effects of social media overload on job performance. Information technology & people, 31(6), 1091-1112.
• Zhang, X., Ding, X., & Ma, L. (2022). The influences of information overload and social overload on intention to switch in social media. Behaviour & Information Technology, 41(2), 228-241.
• Zhu, Y., & Bao, Z. (2018). The role of negative network externalities in SNS fatigue: An empirical study based on impression management concern, privacy concern, and social overload. Data Technologies and Applications. 52(3), 313-328.
• İnternet Sources:
• Administrative Activity Report, (2022). Chrome extension:// efaidnbmnnnibpcajpcglclefindmkaj/https://strateji.Karabuk.edu.tr/yuklenen/dosyalar/12644202311104.pdf. Access date: 13.09.2023
• Digital 2023 Report, (2023), We Are Social, https://wearesocial.com/wp-content/uploads/2023/03/Digital-2023-Global-Overview-Report.pdf, Access date: 05.08.2023