Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2023, Cilt: 20 Sayı: Human Behavior and Social Institutions, 825 - 841, 30.10.2023
https://doi.org/10.26466/opusjsr.1363666

Öz

Bilgi ve iletişim teknolojisindeki gelişmeler bilgiye erişimi daha kolay ve hızlı bir hale getirirken, kendine özgü sorunlar da ortaya çıkarabilmektedir. Aşırı iletişim yükü bu sorunlardan birisidir. Bu araştırmanın amacı çalışanlar açısından aşırı iletişim yüküyle iş performansı arasındaki etkileşimi ve bu ilişkide bilgi ve iletişim teknolojisiyle ilgili algılanan kullanım kolaylığının aracılık etkisini incelemektir. Araştırma, 2023 yılında, Karabük Üniversitesi çalışanları arasında anket yoluyla veri toplanarak gerçekleştirilmiştir. Karabük Üniversitesinin 408 çalışanından elde edilen veriler SPSS 26 paket programı kullanılarak analiz edilmiştir. Araştırmada değişkenler arası ilişkiler Pearson Korelasyon testiyle, aracılık etkisiyse çoklu regresyon analizleriyle gerçekleştirilmiştir. Araştırma sonucu, aşırı iletişim yüküyle iş performansı ve algılanan kullanım kolaylığı arasında zayıf düzeyde negatif bir ilişki, algılanan kullanım kolaylığıyla iş performansı üzerinde ise yüksek düzeyde pozitif bir ilişki tespit edilmiştir. Çoklu regresyon analizi sonuçları, algılanan kullanım kolaylığının, aşırı iletişim yükü ve iş performansı arasındaki ilişkide aracılık etkisinin olduğuna işaret etmektedir.

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

Yıl 2023, Cilt: 20 Sayı: Human Behavior and Social Institutions, 825 - 841, 30.10.2023
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.

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.
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  • 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.
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  • 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.
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  • 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:
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  • 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
Toplam 79 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Örgütsel Davranış
Bölüm Research Articles
Yazarlar

Kasım Yılmaz 0000-0002-4544-4727

Erken Görünüm Tarihi 26 Ekim 2023
Yayımlanma Tarihi 30 Ekim 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 20 Sayı: Human Behavior and Social Institutions

Kaynak Göster

APA Yılmaz, K. (2023). The Mediating Effect of Perceived Ease of Use on the Relationship Between Communication Overload and Job Performance. OPUS Journal of Society Research, 20(Human Behavior and Social Institutions), 825-841. https://doi.org/10.26466/opusjsr.1363666