Araştırma Makalesi
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Are information systems successful in creating organizational and individual impact in restaurant management?

Yıl 2025, Cilt: 14 Sayı: 2, 86 - 99, 30.12.2025
https://izlik.org/JA46SW78ZA

Öz

Technological developments have led to significant changes in the restaurant sector as in many other sectors. Today's restaurant managers are effectively utilizing restaurant information systems to streamline their operations more efficiently, deliver better service to customers, and implement successful marketing practices. Building on this context, this study aims to evaluate the success of information systems in restaurant businesses using DeLone and McLean’s information system success model as the basis for analysis. The model used information quality, system quality, usage, user satisfaction, individual impact, and organizational impact variables to measure the success of information systems in restaurants. To realize this, 404 employees working full-time in restaurants constitute the sample of the study. With respect to, there is no significant effect of system quality on user satisfaction, while the effect of information quality on user satisfaction is significant. Moreover, user satisfaction and system utilization emerge as critical factors that contribute to improving individual performance and ultimately affect organizational performance.

Proje Numarası

SBA-2020-12636

Kaynakça

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Restoran yönetiminde kullanılan bilgi sistemleri örgütsel ve bireysel etki yaratmada başarılı mı?

Yıl 2025, Cilt: 14 Sayı: 2, 86 - 99, 30.12.2025
https://izlik.org/JA46SW78ZA

Öz

Teknolojik gelişmeler birçok sektörde olduğu gibi restoran sektöründe de önemli değişikliklere sebep olmuştur. Günümüz restoran yöneticileri, operasyonlarını daha verimli bir şekilde kontrol etmek, müşterilere daha iyi hizmet sağlamak ve başarılı pazarlama uygulamalarını takip edebilmek için restoran bilgi sistemlerini etkin bir şekilde kullanmaktadırlar. Bu çalışma, DeLone ve McLean’in bilgi sistemi başarı modelini analiz temeli olarak kullanarak, restoran işletmelerinde bilgi sistemlerinin başarısını değerlendirmeyi amaçlamaktadır. Araştırma modelinde, restoranlarda bilgi sistemlerinin başarısını ölçmek için bilgi kalitesi, sistem kalitesi, kullanım, kullanıcı memnuniyeti, bireysel etki ve kurumsal etki değişkenlerinden faydalanılmıştır. Araştırma kapsamında tam zamanlı hizmet veren 404 restoran çalışanından elde edilen veriler iki model oluşturularak incelenmiştir. Buna göre bilgi kalitesinin sistem kullanımına etkisi her iki modelde de desteklenmemiş olup, sistem kalitesinin sistem kullanımı üzerine anlamlı bulunmuştur. Yine sistem kalitesinin kullanıcı memnuniyetine herhangi bir anlamlı etkisi bulunmazken; bilgi kalitesinin kullanıcı memnuniyeti üzerine etkisi anlamlıdır. Dahası, kullanıcı memnuniyeti ve sistem kullanımı, bireysel performansın iyileştirilmesine katkıda bulunan ve nihayetinde kurumsal performansı etkileyen kritik faktörler olarak ortaya çıkmaktadır.

Etik Beyan

Araştırma etik ilkelere uygun şekilde gerçekleştirilmiştir.

Destekleyen Kurum

Çukurova Üniversitesi, Bilimsel Araştırma Projeleri Destek Birimi

Proje Numarası

SBA-2020-12636

Teşekkür

Çukurova Üniversitesi, Bilimsel Araştırma Projeleri Destek Birimi

Kaynakça

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  • Ajzen, I., ve Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Prentice-Hall.
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  • Law, R., Leung, D., Au, N., ve Lee, H. A. (2013). Progress and development of information technology in the hospitality industry: Evidence from Cornell Hospitality Quarterly. Cornell Hospitality Quarterly, 54(1), 10–24. https://doi.org/10.1177/1938965512453
  • Lee, W. H., Lin, C. W., ve Shih, K. H. (2018). A technology acceptance model for the perception of restaurant service robots for trust, interactivity, and output quality. International Journal of Mobile Communications, 16(4), 361–376. https://doi.org/10.1504/IJMC.2018.092666
  • Lewis, B. R., Templeton, G. F., ve Byrd, T. A. (2005). A methodology for construct development in MIS research. European Journal of Information Systems, 14(4), 388–400. https://doi.org/10.1057/palgrave.ejis.3000552
  • Liu, C. H., ve Chang, P. Y. (2013). Information system success model in healthcare and medical informatics with open-source software. In T. H. Meen (Ed.), Applied mechanics and materials (pp. 20–25). Trans Tech Publications.
  • Mason, R. O. (1978). Measuring information output: A communication systems approach. Information & Management, 1(4), 219–234. https://doi.org/10.1016/0378-7206(78)90028-9
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  • Najib, M., ve Fahma, M. F. (2020). Investigating the adoption of digital payment system through an extended technology acceptance model: An insight from the Indonesian small and medium enterprises. International Journal on Advanced Science, Engineering and Information Technology, 10(4), 1702–1708. https://doi.org/10.18517/ijaseit.10.4.11616
  • Nelson, R. R., Todd, P. A., ve Wixom, B. H. (2005). Antecedents of information and system quality: An empirical examination within the context of data warehousing. Journal of Management Information Systems, 21(4), 199–235. https://doi.org/10.1080/07421222.2005.11045823
  • Ngai, E. W. T., ve Wat, F. K. T. (2006). Human resource information systems: A review and empirical analysis. Personnel Review, 35(3), 297–314. https://doi.org/10.1108/00483480610656702
  • Olsen, M. D., ve Connolly, D. J. (2000). Experience-based travel: How technology is changing the hospitality industry. Cornell Hotel and Restaurant Administration Quarterly, 41(1), 30–40. https://doi.org/10.1177/001088040004100121
  • Oronsky, C. R., ve Chathoth, P. K. (2007). An exploratory study examining information technology adoption and implementation in full-service restaurant firms. International Journal of Hospitality Management, 26(4), 941–956. https://doi.org/10.1016/j.ijhm.2006.04.001
  • Pai, F. Y., ve Huang, K. I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650–660. https://doi.org/10.1016/j.techfore.2010.11.007
  • Parsa, H. G., ve Van der Rest, J. P. (2017). Business failure in the U.S. restaurant industry. In H. G. Parsa ve J. P. Van der Rest (Eds.), Turnaround management and bankruptcy: A research companion (pp. 388–407). Routledge.
  • Patil, S., ve Wongsurawat, W. (2015). Information technology (IT) outsourcing by business process outsourcing/information technology enabled services (BPO/ITES) firms in India: a strategic gamble. Journal of Enterprise Information Management, 28(1), 60–76. https://doi.org/10.1108/JEIM-09-2013-0068
  • Rai, A., Lang, S. S., ve Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50–69. https://doi.org/10.1287/isre.13.1.50.96
  • Ringle, C. M., Sarstedt, M., ve Straub, D. W. (2012). Editor’s comments: a critical look at the use of PLS-SEM. MIS Quarterly, 36(1), iii–xiv. https://doi.org/10.2307/41410402
  • Rogers, E. M. (1995). Diffusion of innovations: modifications of a model for telecommunication. In M. W. Stoetzer & A. Mahler (Eds.), Die diffusion von innovationen in der telekommunikation (pp. 25–38). Springer.
  • Roky, H., ve Al Meriouh, Y. (2015). Evaluation by users of an industrial information system (XPPS) based on the DeLone and McLean model for IS success. Procedia Economics and Finance, 26, 903–913. https://doi.org/10.1016/S2212-5671(15)00903-X
  • Roldán, J. L., ve Leal, A. (2003). Executive information systems in Spain: A study of current practices and comparative analysis. In G. A. Forgionne, J. N. D. Gupta, ve M. Mora (Eds.), Decision making support systems: Achievements, trends and challenges for the new decade (pp. 287–304). IGI Global. https://doi.org/10.4018/978-1-59140-045-5.ch018
  • Ruth, D., Brush, T. H., ve Ryu, W. (2015). The use of information technology in the provision of HR compensation services and its effect on outsourcing and centralization. Journal of Purchasing and Supply Management, 21(1), 25–37. https://doi.org/10.1016/j.pursup.2014.08.002
  • Saeed, H., Shouman, A., Elfar, M., Shabka, M., Majumdar, S., ve Horng-Lung, C. (2016, December). Near-field communication sensors and cloud-based smart restaurant management system. In 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) (pp. 686–691), Reston, VA, USA.
  • Sambamurthy, V., Bharadwaj, A., ve Grover, V. (2003). Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Quarterly, 27(2), 237–263. https://doi.org/10.2307/30036530
  • Sanders, G. L. (1984). MIS/DSS success measure. Systems, Objectives, Solutions, 4(1), 29–34. https://doi.org/10.2307/249275
  • Sardjono, W., Kristin, D. M., Putra, G. R., Salim, G., ve Subiyantoro, S. (2022). Evaluation model of yachters information system implementation success using DeLone and McLean to increase organization performance. ICIC Express Letters, 16(2), 205–213. https://doi.org/10.24507/icicel.16.02.205
  • Sarstedt, M., Ringle, M., ve Hair, J. F. (2017). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of market research (pp. 1–47). Springer.
  • Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240–253. https://doi.org/10.1287/isre.8.3.240
  • Seddon, P. B., ve Kiew, M. Y. (1996). A partial test and development of DeLone and McLean’s model of IS success. Australasian Journal of Information Systems, 4(1), 90–109. https://doi.org/10.3127/ajis.v4i1.379
  • Sedera, D., ve Gable, G. (2004). A factor and structural equation analysis of the enterprise systems success measurement model. In Proceedings of the Twenty-Fifth International Conference on Information Systems (pp. 449–463), Washington, DC, USA.
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  • Sun, S., Lee, P. C., Law, R., ve Zhong, L. (2020). The impact of cultural values on the acceptance of hotel technology adoption from the perspective of hotel employees. Journal of Hospitality and Tourism Management, 44, 61–69. https://doi.org/10.1016/j.jhtm.2020.04.012
  • Tajuddin, M. (2015). Modification of DeLone and McLean model in the success of information system for good university governance. Turkish Online Journal of Educational Technology (TOJET), 14(4), 113–123. https://files.eric.ed.gov/fulltext/EJ1077616.pdf
  • Tam, C., ve Oliveira, T. (2016). Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective. Computers in Human Behavior, 61, 233–244. https://doi.org/10.1016/j.chb.2016.03.016
  • Tvrdíková, M. (2016). Increasing the business potential of companies by ensuring continuity of the development of their information systems by current information technologies. Journal of Business Economics and Management, 17(3), 475–489. https://doi.org/10.3846/16111699.2013.839475
  • Urbach, N., ve Ahlemann, F. (2010). Structural equation modelling in information systems research using partial least squares. Journal of Information Technology Theory and Application (JITTA), 11(2), 5–40. https://aisel.aisnet.org/jitta/vol11/iss2/2
  • Urbach, N., Smolnik, S., ve Riempp, G. (2010). An empirical investigation of employee portal success. The Journal of Strategic Information Systems, 19(3), 184–206. https://doi.org/10.1016/j.jsis.2010.06.002
  • Urbach, N., Smolnik, S., ve Riempp, G. (2011). Determining the improvement potentials of employee portals using a performance‐based analysis. Business Process Management Journal, 17(5), 829–845. https://doi.org/10.1108/14637151111166204
  • Venkatesh, V., ve Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
  • Venkatesh, V., Morris, M. G., Davis, G. B., ve Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  • Yıldız, E. (2020). SmartPLS ile yapısal eşitlik modellemesi. Seçkin Basımevi.
Toplam 100 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İş Bilgi Sistemleri
Bölüm Araştırma Makalesi
Yazarlar

Ayşe İpek Koca Ballı 0000-0001-7808-5807

Ferda Üstün 0000-0002-7397-8048

Erdinç Ballı 0000-0001-5111-1868

Proje Numarası SBA-2020-12636
Gönderilme Tarihi 27 Şubat 2025
Kabul Tarihi 13 Temmuz 2025
Yayımlanma Tarihi 30 Aralık 2025
IZ https://izlik.org/JA46SW78ZA
Yayımlandığı Sayı Yıl 2025 Cilt: 14 Sayı: 2

Kaynak Göster

APA Koca Ballı, A. İ., Üstün, F., & Ballı, E. (2025). Restoran yönetiminde kullanılan bilgi sistemleri örgütsel ve bireysel etki yaratmada başarılı mı? Trakya University E-Journal of the Faculty of Economics and Administrative Sciences, 14(2), 86-99. https://izlik.org/JA46SW78ZA