ABSTRACT
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.
JEL Classification: M150, O320.
Keywords:
Information Systems, Restaurant Information Systems, DeLone & McLean IS Success Model.
References
1
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. Action-control: From cognition to behavior (pp. 11–39). Springer.
2
Ajzen, I., ve Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Prentice-Hall.
3
Akrong, G. B., Yunfei, S., ve Owusu, E. (2022). Development and validation of an improved DeLone–McLean IS success model—application to the evaluation of a tax administration ERP. International Journal of Accounting Information Systems, 47, 1–19. https://doi.org/10.1016/j.accinf.2022.100579
4
Al-Fraihat, D., Joy, M., ve Sinclair, J. (2019). Evaluating e-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. https://doi.org/10.1016/j.chb.2019.08.004
5
Al-Qahtani, N., Al-Yafi, K., ve Alshare, K. A. (2019). Factors influencing employees’ intention to apply ergonomics at workplaces: A cultural perspective. International Journal of Human Factors and Ergonomics, 6 (1), 57–87. http://dx.doi.org/10.1504/IJHFE.2019.099584
6
Al-Hattami, H. M. (2021). Validation of the D&M IS success model in the context of accounting information system of the banking sector in the least developed countries. Journal of Management Control, 32 (1), 127–153. https://doi.org/10.1007/s00187-020-00310-3
7
Alshibly, H. H. (2014). Evaluating E-HRM success: A validation of the information systems success model. International Journal of Human Resource Studies, 4 (3), 107–124. https://doi.org/10.5296/ijhrs.v4i3.5929
8
Ansel, D., ve Dyer, C. (1999). A framework for restaurant information technology. Cornell Hotel and Restaurant Administration Quarterly, 40 (3), 74–84. https://doi.org/10.1177/001088049904000322
9
Armstrong, B., Fogarty, G., Dingsdag, D., ve Dimbleby, J. (2005). Validation of a computer user satisfaction questionnaire to measure IS success in small business. Journal of Research and Practice in Information Technology, 37 (1), 27–42. https://search.informit.org/doi/10.3316/ielapa.015271794467186
10
Arshad, Y., Ahlan, A. R., Ibrahim, S. N. S., ve Norhafiza, S. (2013). Combining grounded theory and case study methods in IT outsourcing study. Journal of Research and Practice in Information Technology, 4, 84–93.
11
Bahari, A., ve Mahmud, R. (2018, December 3–7). Impact of system quality, information quality and service quality on performance. 34th Annual Computer Security Applications Conference, San Juan, PR, USA.
12
Balaban, I., Mu, E., ve Divjak, B. (2013). Development of an electronic portfolio system success model: An information systems approach. Computers & Education, 60 (1), 396–411. https://doi.org/10.1016/j.compedu.2012.06.013
13
Baraka, H. A., Baraka, H. A., ve El-Gamily, I. H. (2013). Assessing call centers’ success: A validation of the DeLone and McLean model for information system. Egyptian Informatics Journal, 14 (2), 99–108. https://doi.org/10.1016/j.eij.2013.03.001
14
Brynjolfsson, E., ve Hitt, L. M. (2000). Beyond computation: Information technology, organizational transformation and business performance. Journal of Economic Perspectives, 14 (4), 23–48. http://dx.doi.org/10.1257/jep.14.4.23
15
Buhalis, D. (1998). Information technologies in tourism: Implications for the tourism curriculum. The International Conference, Istanbul, Turkey. https://doi.org/10.1007/978-3-7091-7504-0_29
16
Çavuşoğlu, M. (2019). An analysis of technology applications in the restaurant industry. Journal of Hospitality and Tourism Technology, 10 (1), 45–72. https://doi.org/10.1108/JHTT-12-2017-0141
17
Çobanoğlu, C. (2007). A critical look at restaurant network security: Attacks, prevention tools, and practices. Journal of Foodservice Business Research, 10 (1), 31–50. https://doi.org/10.1300/J369v10n01_03
18
Céu Alves, M. D., ve Matos, S. I. A. (2013). ERP adoption by public and private organizations – A comparative analysis of successful implementations. Journal of Business Economics and Management, 14 (3), 500–519.
19
Cheong, S. N., Chiew, W. W., ve Yap, W. J. (2010). Design and development of multi-touchable e-restaurant management system. International Conference on Science and Social Research (CSSR) (pp. 680–685), Kuala Lumpur, Malaysia. https://doi.org/10.1109/CSSR.2010.5773867
20
Cho, V. (2007). A study of the impact of organizational learning on information system effectiveness. International Journal of Business and Information, 2 (1), 127–158. https://doi.org/10.5297/ser.1201.002
21
Cobanoglu, C. (2007). Critical look at restaurant network security: Attacks, prevention tools, and practices. Journal of Foodservice Business Research, 10 (1), 31–50. https://doi.org/10.1300/J369v10n01_03
22
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
23
Collins, G. C., ve Malik, T. (1998). Hospitality information technology. Kendall/Hunt Publishing Company.
24
Dalcher, I., & Shine, J. (2003). Extending the new technology acceptance model to measure the end user information systems satisfaction in a mandatory environment: A bank’s treasury. Technology Analysis & Strategic Management, 15 (4), 441–455. https://doi.org/10.1080/095373203000136033
25
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319–340. https://doi.org/10.2307/249008
26
DeLone, W. H., ve McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3 (1), 60–95. https://doi.org/10.1287/isre.3.1.60
27
DeLone, W. H., ve McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19 (4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
28
Diamantopoulos, A., ve Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17 (4), 263–282. https://doi.org/10.1111/j.1467-8551.2006.00500.x
29
Ellison, M. B., ve Mann, L. (2000). Food service information technology (IT) assessment: A foundation for strategic planning. International CHRIE Conference, New Orleans, LA.
30
Elmunsyah, H., Nafalski, A., Wibawa, A. P., ve Dwiyanto, F. A. (2023). Understanding the impact of a learning management system using a novel modified DeLone and McLean model. Education Sciences, 13 (3), 2–14. https://doi.org/10.3390/educsci13030235
31
Fornell, C., ve Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19 (4), 440–452. https://doi.org/10.1177/002224378201900406
32
Fussel, S. G., ve Truong, D. (2022). Using virtual reality for dynamical learning: an extended technology acceptance model. Virtual Reality, 26 (1), 249–267. https://doi.org/10.1007/s10055-021-00554-x
33
Gefen, D., Straub, M., ve Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4 (1), 7. https://doi.org/10.17705/1CAIS.00407
34
Ghobakhloo, M., ve Tang, S. H. (2015). Information system success among manufacturing SMEs: case of developing countries. Information Technology for Development, 21 (4), 573–600. https://doi.org/10.1080/02681102.2014.996201
35
Goslar, M. D., Green, G. I., ve Hughes, T. H. (1986). Applications and implementation of decision support systems: An empirical assessment for decision making. Decision Sciences, 17 (1), 79–91. https://doi.org/10.1111/j.1540-5915.1986.tb00214.x
36
Gustafsson, M. R., Karlsson, T., ve Bubenko, J. A. (1982). A declarative approach to conceptual information modelling. In: Information systems design methodologies: A comparative review (pp. 93–142). Elsevier Science Ltd.
37
Hair, J. F., Hult, G. T. M., Ringle, C. M., ve Sarstedt, M. (2017). Primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.
38
Han, J. H., ve Sa, H. J. (2022). Acceptance of and satisfaction with online educational classes through the technology acceptance model (TAM): The COVID-19 situation in Korea. Asia Pacific Education Review, 23 (3), 403–415. https://doi.org/10.1007/s12564-021-09716-7
39
Ham, S., Kim, W. G., ve Forsythe, H. W. (2008). Restaurant employees’ technology use intention: Validating technology acceptance model with external factors. Journal of Hospitality & Leisure Marketing, 17 (1–2), 78–98. https://doi.org/10.1080/10507050801978422
40
Ham, S., Kim, W. G., ve Jeong, S. (2005). Effect of information technology on performance in upscale hotels. International Journal of Hospitality Management, 24 (2), 281–294. https://doi.org/10.1016/j.ijhm.2004.06.010
41
Harr, A., Vom Brocke, J., ve Urbach, N. (2019). Evaluating the individual and organizational impact of enterprise content management systems. Business Process Management Journal, 25 (7), 1413–1440. https://doi.org/10.1108/BPMJ-05-2017-0117
42
Henseler, J., Ringle, C. M., ve Sinkovics, R. R. (2009). The use of partial least squares path modelling in international marketing. In R. R. Sinkovics ve P. N. Ghauri (Eds.), New challenges to international marketing (pp. 277–319). Emerald Group Publishing Limited.
43
Huang, Y. C., Chang, L. L., Yu, C. P., ve Chen, J. (2019). Examining an extended technology acceptance model with experience construct on hotel consumers’ adoption of mobile applications. Journal of Hospitality Marketing & Management, 28 (8), 957–980. https://doi.org/10.1080/19368623.2019.1580172
44
Huber, M. M. (2003). Measurement of restaurant manager perceptions of restaurant management information systems (Unpublished doctoral dissertation). The Ohio State University, Ohio, USA.
45
Huber, M. M., Hancer, M., ve George, R. T. (2010). A comparative examination of information technology usage in the restaurant industry. Journal of Foodservice Business Research, 13 (3), 268–281. https://doi.org/10.1080/15378020.2010.500262
46
Iivari, J. (2005). An empirical test of the DeLone–McLean model of information system success. The DATABASE for Advances in Information Systems, 36 (2), 8–27. https://doi.org/10.1145/1066149.1066152
47
Jang, J. H., Kim, J. K., ve Hwang, Y. H. (2006). Influence of hotel information system quality on system use and user satisfaction. Journal of Quality Assurance in Hospitality & Tourism, 7 (3), 41–58. https://doi.org/10.1300/J162v07n03_03
48
Kamaludin, K., ve Kamaludin, K. Z. (2017). User acceptance of the human resource information system: A study of a private hospital in Malaysia. International Review of Management and Marketing, 7 (2), 207–217. https://dergipark.org.tr/en/download/article-file/367531
49
Kauffman, R. J., ve Walden, E. A. (2001). Economics and electronic commerce: Survey and directions for research. International Journal of Electronic Commerce, 5 (4), 5–116. https://doi.org/10.1080/10864415.2001.11044222
50
Kaplanidou, K., ve Vogt, C. (2006). A structural analysis of destination travel intentions as a function of web site features. Journal of Travel Research, 45 (2), 204–216. https://doi.org/10.1177/0047287506291599
51
Keiser, J. R. (1989). Principles and practices of management in the hospitality industry. Van Nostrand Reinhold.
52
Khayun, V., Ractham, P., ve Firpo, D. (2012). Assessing e-excise success with DeLone and McLean’s model. Journal of Computer Information Systems, 52 (3), 31–40. https://doi.org/10.1080/08874417.2012.11645556
53
Kim, T. G., Lee, J. H., ve Law, R. (2008). An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model. Tourism Management, 29 (3), 500–513. https://doi.org/10.1016/j.tourman.2007.05.016
54
Kimes, S. E. (2008). The role of technology in restaurant revenue management. Cornell Hospitality Quarterly, 49 (3), 297–309.
55
Kulatilaka, N., ve Venkatraman, N. (2001). Strategic options in the digital era. Business Strategy Review, 12 (4), 7–15. https://doi.org/10.1111/1467-8616.00187
56
Lam, T., Cho, V., ve Qu, H. (2007). A study of hotel employee behavioral intentions towards adoption of information technology. International Journal of Hospitality Management, 26 (1), 49–65. https://doi.org/10.1016/j.ijhm.2005.09.002
57
Lau, A. (2020). New technologies used in COVID-19 for business survival: Insights from the hotel sector in China. Information Technology & Tourism, 22, 497–504. https://doi.org/10.1007/s40558-020-00193-z
58
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
59
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
60
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
61
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.
62
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
63
Morosan, C., ve Jeong, M. (2008). Users’ perceptions of two types of hotel reservation web sites. International Journal of Hospitality Management, 27 (2), 284–292. https://doi.org/10.1016/j.ijhm.2007.07.023
64
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
65
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
66
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
67
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
68
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
69
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
70
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.
71
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
72
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
73
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
74
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.
75
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
76
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
77
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
78
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.
79
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
80
Sanders, G. L. (1984). MIS/DSS success measure. Systems, Objectives, Solutions, 4 (1), 29–34. https://doi.org/10.2307/249275
81
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
82
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.
83
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
84
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
85
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.
86
Şeker, F., Kadirhan, G., ve Erdem, A. (2023). The factors affecting tourism mobile apps usage. Tourism & Management Studies, 19 (1), 7–14. https://doi.org/10.18089/tms.2023.100101
87
Shannon, C. E., ve Weaver, W. (1949). The mathematical theory of communication. University of Illinois Press.
88
Sichel, D. E. (1997). The computer revolution: An economic perspective. Brookings Institution Press.
89
Srinivasan, A. (1985). Alternative measures of system effectiveness: Associations and implications. MIS Quarterly, 9 (3), 243–253. https://doi.org/10.2307/248951
90
Subaeki, B., Rahman, A. A., Putra, S. J., ve Alam, C. N. (2019, December). Success model for measuring information system implementation: Literature review. Journal of Physics: Conference Series, 1402 (7), 1–6.
91
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
92
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
93
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
94
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
95
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
96
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
97
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
98
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
99
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
100
Yıldız, E. (2020). SmartPLS ile yapısal eşitlik modellemesi. Seçkin Basımevi.
