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Investigation of the Use of Electronic Navigation Technologies by Management Level Seafarers with Technology Acceptance Model

Yıl 2020, Cilt 16, Sayı 29, 1928 - 1954, 30.09.2020

Öz

The Technology Acceptance Model (TAM) reveals that actual technology use is related to behavioral intentions and this is determined by the attitude and perceived benefit in using technology. Numerous studies, which investigate the factors that affect the acceptance and use of technologies, have been conducted with many models. When these studies are evaluated, it is seen that TAM is a frequently preferred model. In addition to these, there are studies in the literature that add different variables to TAM and increase the explanatoriness of the model. In this research, the authors preferred TAM, which is accepted as a high accuracy, validity and explanation power in order to analyze the acceptance and use of the electronic navigation technologies of the ship's captain and deck officers and the factors affecting the acceptance of these technologies, and to predict the reactions to the technologies planned to be applied to the ships in the future. From this point of view, the aim of this study is to examine and reveal the factors affecting the use and acceptance of the electronic navigation technologies of the seafarers who work as managers in the ships within the scope of TAM. For the purpose of the research, the data obtained by survey method from 170 seafarers working on ships belonging to 21 international maritime shipping companies which operate in Istanbul and were analyzed with the structural equation model using SPSS 21 and AMOS 21 statistical package programmes. The findings of this study were similar to the results in the TAM literature, and it was determined that TAM was sufficient to explain the behaviors of seafarers who work at the executive level and use electronic navigation technologies. In addition, findings show that the variables in TAM explain the 28% of the change in the behaviors of ship captains and deck officers towards the use and acceptance of electronic navigation technologies

Kaynakça

  • Bryman, A. ve Duncan C. (2002). Quantitative data analysis with SPSS release 10 for Windows: A guide for social scientists. London: Routledge.
  • Chao, S-L ve Lin, P-S. (2009).Critical factors affecting the adoption of container security service: The shippers’ perspective. International Journal of Production Economics, 122(1), 67-77.
  • Chin, Y-C. (2016). Consumer acceptance of online complaint forms: An integration of TPB, TAM and values perspective. Business and Economic Research,6(2),265-279.
  • Dasgupta, S., Granger,M. ve McGarry,N. (2002). User acceptance of e-collaboration technology: An extension of the technology acceptance model. Group Decision and Negotiation,11(2), 87-100.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly,13(3), 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), 982-1003.
  • Fornell, C., ve Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research,18(1), 39–50.
  • Gallego, M. D., Luna, P. ve Bueno,S. (2008). User acceptance model of open source software. Computers in Human Behavior,24(5), 2199-2216.
  • Gefen, D., Karahanna,E. ve Straub, D.W. (2003). Trust and TAM in online shopping: an integrated model, MIS Quarterly, 27(1), 51-90.
  • Hair, J. F., Black, W. C., Babin,B.J., ve Anderson, R. E. (2010). Multivariate data analysis. m7th ed. Upper Saddle River, New Jersey: Prentice Hall.
  • Hu,L. ve Bentler,P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: A Multidisciplinary Journal, 6(1), 1-55.
  • Hu, P. J. H., H. Chen, Hu H., C. Larson, ve Butierez C. (2011). Law enforcement officers‟ acceptance of advanced e-government technology: A survey study of COPLINK Mobile. Electronic Commerce Research and Applications, 10(1), 6-16.
  • Hu, P. J., Patrick YK Chau, Olivia R. Liu Sheng, ve Kar Yan Tam. (1999).Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal Of Management İnformation Systems, 16(2), 91-112.
  • Kalyoncuoğlu, S. (2018). Tüketicilerin online alışverişindeki sanal kart kullanımlarının teknoloji kabul modeli ile incelenmesi. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, 20(2), 193-213.
  • Kim, B. G., Soon C. P., ve Kyoung, J.L. (2007). A structural equation modeling of the Internet acceptance in Korea. Electronic Commerce Research and Applications,6(4), 425-432.
  • King, W. R., ve Jun He (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740-755.
  • Kline, P. (1994). An easy guide to factor analysis. New York, NY: Routledge.
  • Kline, R.B. (2005). Principles and practice of structural equation modelling. 2nd Ed. New York: The Guilford Press.
  • Kurt, E. Ö. (2015). Üniversite öğrencilerinin uzaktan eğitime bakış açılarının teknoloji kabul modeli ve bilgi sistemleri başarı modeli entegrasyonu ile belirlenmesi. Uluslararsı Alanya İşletme Fakültesi Dergisi, 7(3), 223- 234.
  • Legris, P., Ingham, J. ve Collerette,P.(2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204.
  • Liao, Z. ve Cheung, M.T. (2001). Internet-based e-shopping and consumer attitudes: an empirical study. Information & Management,38(2001), 299-306.
  • Lin, F., Fofanah, S.S. ve Liang, D. (2011). Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success. Government Information Quarterly , 28(2), 271-279.
  • Lu, C‐S, Lai K-H. ve Cheng, T. C. E. (2006). Adoption of internet services in liner shipping: an empirical study of shippers in Taiwan.Transport Reviews,26(2),189-206.
  • MacCallum, R. C., Browne,M.W. ve Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling, Psychological Methods,1(2), 130-149.
  • Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior, Information Systems Research, 2(3), 173-191.
  • Raykov, T., ve Marcoulides, G. A. (2008). An introduction to applied multivariate analysis. NewYork: Routledge.
  • Ritter, N. L. (2017). Technology acceptance model of online learning management systems in higher education: A meta-analytic structural equation model, International Journal of Learning Management Systems, 5, 1-15.
  • Roestad, V.O.S. (2016).The validity of an extended technology acceptance model (TAM) for Assessing the Acceptability of Autonomous Ships. Master's thesis. Høgskolen i Sørøst-Norge.
  • Schepers, J. ve Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44(1), 90-103.
  • Sun, Y., Bhattacherjee, A. ve Ma,Q. (2009). Extending technology usage to work settings: The role of perceived work compatibility in ERP implementation. Information & Management, 46(6), 351-356.
  • Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302-312.
  • Teo, T., Lee,C.B. ve Chai, C.S. (2008).Understanding pre‐service teachers' computer attitudes: applying and extending the technology acceptance model. Journal Of Computer Assisted Learning, 24(2), 128-143.
  • Teo, T., Ursavas, Ö.F. ve Bahçekapılı, E. (2012). An assessment of pre-service teachers’ technology acceptance in Turkey: A structural equation modeling approach, The Asia-Pacific Education Researcher,21(1), 191-202.
  • Turan, B. ve Gürkan H. (2014). Teknoloji Kabul modeli ve sınıf öğretmenleri üzerinde bir uygulama. Alanya Isletme Fakültesi Dergisi, 6(1), 109-119.
  • Türker, A. ve Türker, Ö.G. (2013).Turistik ürün satın alma davranışlarının teknoloji kabul modeli ile incelenmesi. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 15(2), 281-312.
  • Ursavaş, Ö., Şahin, S. ve Mcılroy,D. (2014). Technology acceptance measure for teachers: T-TAM, Eğitimde Kuram ve Uygulama, 10(4), 885-917.
  • Ursavaş, Ö. F. (2013).Reconsidering the role of attitude in the TAM: An answer to Teo (2009) and Nistor and Heymann (2010), and Lopez‐Bonilla and Lopez‐Bonilla (2011), British Journal of Educational Technology, 44(1), 22-23.
  • Venkatesh, V., and Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Science, 46(2),186-204.
  • Venkatesh, V., Morris, M.G., Gordon B.D. ve Davis, F.D. (2003). User acceptance of information technology: Toward a unified view, MIS Quarterly,27(3), 425-478.
  • Wang, Yi-S. (2003). The adoption of electronic tax filing systems: an empirical study. Government Information Quarterly, 20(4), 333-352.
  • Yang, H. ve Yoo, Y. (2004). It's all about attitude: revisiting the technology acceptance model. Decision Support Systems, 38(1), 19-31.
  • Yousafzai, S.Y., Foxall, G. ve Pallister, J. (2007). Technology acceptance: a meta-analysis of the TAM: Part 1. Journal of Modelling in Management, 2(3), 251-280.

Yönetici Düzeyindeki Gemi Adamlarının Elektronik Seyir Teknolojileri Kullanımının Teknoloji Kabul Modeli İle İncelenmesi

Yıl 2020, Cilt 16, Sayı 29, 1928 - 1954, 30.09.2020

Öz

Teknoloji Kabul Modeli (TKM), gerçekleşen teknoloji kullanımının davranışsal niyetlerle ilişkili olduğunu ve bunun da teknolojiyi kullanma konusundaki tutum ve algılanan fayda tarafından belirlendiğini ortaya koyar. Teknolojilerin kabul ve kullanımını etkileyen faktörleri araştıran çok sayıda çalışma yapılmış ve birçok model ile incelenmiştir. Bu çalışmalar değerlendirildiğinde TKM’nin sıklıkla tercih edilen bir model olduğu görülmektedir. Bunların yanı sıra literatürde TKM’ye farklı değişkenler ilave edip modelin açıklayıcılığını artıran çalışmalar da mevcuttur. Bu araştırmada gemi kaptanı ve güverte zabitlerinin gemilerdeki elektronik seyir teknolojilerini kabul ve kullanımlarının ne durumda olduğunu ve bu teknolojilerin kabullerini etkileyen faktörlerin neler olduğunu analiz etmek ve ileride gemilere uygulanması düşünülen teknolojilere verilecek tepkileri de öngörmek amacıyla literatürde doğruluğu, geçerliliği ve açıklama gücü yüksek olarak kabul edilen TKM tercih edilmiştir. Bu noktadan hareketle çalışmanın amacı, gemilerde yönetici düzeyinde görev yapan gemi adamlarından kaptan ve güverte zabitlerinin elektronik seyir teknolojilerini kullanım ve kabullerini etkileyen faktörleri TKM kapsamında incelemek ve ortaya çıkartmaktır. Araştırmanın amacına yönelik olarak İstanbul merkezli ve uluslararası deniz taşımacılığı yapan 21 gemi işletmesine ait gemilerde çalışan 170 gemi adamından anket tekniği ile ulaşılan veriler, SPSS 21 ve AMOS 21 istatistiksel paket programlarıyla yapısal eşitlik modeli kullaılarak analiz edilmiştir. Analiz bulguları TKM literatüründe yer alan sonuçlar ile benzerlik göstermiş ve TKM’nin yönetici düzeyindeki gemi adamlarının elektronik seyir teknolojilerini kullanma davranışlarını açıklamada yeterli olduğu belirlenmiştir. Bunun yanı sıra araştırma bulguları, TKM’de yer alan değişkenlerin, gemi kaptanlarının ve güverte zabitlerinin elektronik seyir teknolojilerini kullanım ve kabulüne yönelik gerçekleşen davranışlarındaki değişimin %28’ini açıkladığını göstermektedir.

Kaynakça

  • Bryman, A. ve Duncan C. (2002). Quantitative data analysis with SPSS release 10 for Windows: A guide for social scientists. London: Routledge.
  • Chao, S-L ve Lin, P-S. (2009).Critical factors affecting the adoption of container security service: The shippers’ perspective. International Journal of Production Economics, 122(1), 67-77.
  • Chin, Y-C. (2016). Consumer acceptance of online complaint forms: An integration of TPB, TAM and values perspective. Business and Economic Research,6(2),265-279.
  • Dasgupta, S., Granger,M. ve McGarry,N. (2002). User acceptance of e-collaboration technology: An extension of the technology acceptance model. Group Decision and Negotiation,11(2), 87-100.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly,13(3), 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), 982-1003.
  • Fornell, C., ve Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research,18(1), 39–50.
  • Gallego, M. D., Luna, P. ve Bueno,S. (2008). User acceptance model of open source software. Computers in Human Behavior,24(5), 2199-2216.
  • Gefen, D., Karahanna,E. ve Straub, D.W. (2003). Trust and TAM in online shopping: an integrated model, MIS Quarterly, 27(1), 51-90.
  • Hair, J. F., Black, W. C., Babin,B.J., ve Anderson, R. E. (2010). Multivariate data analysis. m7th ed. Upper Saddle River, New Jersey: Prentice Hall.
  • Hu,L. ve Bentler,P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: A Multidisciplinary Journal, 6(1), 1-55.
  • Hu, P. J. H., H. Chen, Hu H., C. Larson, ve Butierez C. (2011). Law enforcement officers‟ acceptance of advanced e-government technology: A survey study of COPLINK Mobile. Electronic Commerce Research and Applications, 10(1), 6-16.
  • Hu, P. J., Patrick YK Chau, Olivia R. Liu Sheng, ve Kar Yan Tam. (1999).Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal Of Management İnformation Systems, 16(2), 91-112.
  • Kalyoncuoğlu, S. (2018). Tüketicilerin online alışverişindeki sanal kart kullanımlarının teknoloji kabul modeli ile incelenmesi. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, 20(2), 193-213.
  • Kim, B. G., Soon C. P., ve Kyoung, J.L. (2007). A structural equation modeling of the Internet acceptance in Korea. Electronic Commerce Research and Applications,6(4), 425-432.
  • King, W. R., ve Jun He (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740-755.
  • Kline, P. (1994). An easy guide to factor analysis. New York, NY: Routledge.
  • Kline, R.B. (2005). Principles and practice of structural equation modelling. 2nd Ed. New York: The Guilford Press.
  • Kurt, E. Ö. (2015). Üniversite öğrencilerinin uzaktan eğitime bakış açılarının teknoloji kabul modeli ve bilgi sistemleri başarı modeli entegrasyonu ile belirlenmesi. Uluslararsı Alanya İşletme Fakültesi Dergisi, 7(3), 223- 234.
  • Legris, P., Ingham, J. ve Collerette,P.(2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204.
  • Liao, Z. ve Cheung, M.T. (2001). Internet-based e-shopping and consumer attitudes: an empirical study. Information & Management,38(2001), 299-306.
  • Lin, F., Fofanah, S.S. ve Liang, D. (2011). Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success. Government Information Quarterly , 28(2), 271-279.
  • Lu, C‐S, Lai K-H. ve Cheng, T. C. E. (2006). Adoption of internet services in liner shipping: an empirical study of shippers in Taiwan.Transport Reviews,26(2),189-206.
  • MacCallum, R. C., Browne,M.W. ve Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling, Psychological Methods,1(2), 130-149.
  • Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior, Information Systems Research, 2(3), 173-191.
  • Raykov, T., ve Marcoulides, G. A. (2008). An introduction to applied multivariate analysis. NewYork: Routledge.
  • Ritter, N. L. (2017). Technology acceptance model of online learning management systems in higher education: A meta-analytic structural equation model, International Journal of Learning Management Systems, 5, 1-15.
  • Roestad, V.O.S. (2016).The validity of an extended technology acceptance model (TAM) for Assessing the Acceptability of Autonomous Ships. Master's thesis. Høgskolen i Sørøst-Norge.
  • Schepers, J. ve Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44(1), 90-103.
  • Sun, Y., Bhattacherjee, A. ve Ma,Q. (2009). Extending technology usage to work settings: The role of perceived work compatibility in ERP implementation. Information & Management, 46(6), 351-356.
  • Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302-312.
  • Teo, T., Lee,C.B. ve Chai, C.S. (2008).Understanding pre‐service teachers' computer attitudes: applying and extending the technology acceptance model. Journal Of Computer Assisted Learning, 24(2), 128-143.
  • Teo, T., Ursavas, Ö.F. ve Bahçekapılı, E. (2012). An assessment of pre-service teachers’ technology acceptance in Turkey: A structural equation modeling approach, The Asia-Pacific Education Researcher,21(1), 191-202.
  • Turan, B. ve Gürkan H. (2014). Teknoloji Kabul modeli ve sınıf öğretmenleri üzerinde bir uygulama. Alanya Isletme Fakültesi Dergisi, 6(1), 109-119.
  • Türker, A. ve Türker, Ö.G. (2013).Turistik ürün satın alma davranışlarının teknoloji kabul modeli ile incelenmesi. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 15(2), 281-312.
  • Ursavaş, Ö., Şahin, S. ve Mcılroy,D. (2014). Technology acceptance measure for teachers: T-TAM, Eğitimde Kuram ve Uygulama, 10(4), 885-917.
  • Ursavaş, Ö. F. (2013).Reconsidering the role of attitude in the TAM: An answer to Teo (2009) and Nistor and Heymann (2010), and Lopez‐Bonilla and Lopez‐Bonilla (2011), British Journal of Educational Technology, 44(1), 22-23.
  • Venkatesh, V., and Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Science, 46(2),186-204.
  • Venkatesh, V., Morris, M.G., Gordon B.D. ve Davis, F.D. (2003). User acceptance of information technology: Toward a unified view, MIS Quarterly,27(3), 425-478.
  • Wang, Yi-S. (2003). The adoption of electronic tax filing systems: an empirical study. Government Information Quarterly, 20(4), 333-352.
  • Yang, H. ve Yoo, Y. (2004). It's all about attitude: revisiting the technology acceptance model. Decision Support Systems, 38(1), 19-31.
  • Yousafzai, S.Y., Foxall, G. ve Pallister, J. (2007). Technology acceptance: a meta-analysis of the TAM: Part 1. Journal of Modelling in Management, 2(3), 251-280.

Ayrıntılar

Birincil Dil Türkçe
Konular Yöneylem, Araştırma ve Yönetim Bilimi
Bölüm Makaleler
Yazarlar

Murat YORULMAZ (Sorumlu Yazar)
KOCAELİ ÜNİVERSİTESİ, DENİZCİLİK FAKÜLTESİ, DENİZCİLİK İŞLETMELERİ YÖNETİMİ BÖLÜMÜ
0000-0002-5736-9146
Türkiye


Serdar ALNIPAK
NİŞANTAŞI ÜNİVERSİTESİ
0000-0002-5722-9960
Türkiye

Yayımlanma Tarihi 30 Eylül 2020
Yayınlandığı Sayı Yıl 2020, Cilt 16, Sayı 29

Kaynak Göster

APA Yorulmaz, M. & Alnıpak, S. (2020). Yönetici Düzeyindeki Gemi Adamlarının Elektronik Seyir Teknolojileri Kullanımının Teknoloji Kabul Modeli İle İncelenmesi . OPUS International Journal of Society Researches , 16 (29) , 1928-1954 . Retrieved from https://dergipark.org.tr/tr/pub/opus/issue/56333/689259