Model of Online Food Delivery System Services and Restaurant Performance: A Case Study of China
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Purpose: Through the lens of business performance theory, this study examines the effect of online food delivery system services on restaurant performance by analyzing the performance of restaurants engaged in takeaway services. The moderating effects of restaurant attributes on restaurant performance are also investigated. Design/methodology/approach: This research applies a positivist paradigm where a quantitative approach was selected to gather the information from the respondents based on the established sample size through G-POWER software. By applying the judgement sampling technique, the study seeks answers from the respondents through non-probability sampling. Using the software SmartPLS 3.3.3, this study analyzed 220 completed responses using the PLS-SEM approach to reach the research objectives. Findings: The findings suggested that the basic services and click-through promotion service directly and positively affected restaurant performance. The discount service has no significant influence on the restaurant performance. The study confirms that size shown a positive interaction with click-through promotion service in relation to restaurant performance, whereas the variable of price of main dishes demonstrated a negative interaction with click-through promotion service in relation to restaurant performance. There is no substantial moderating influence of age. Research limitations/implications: The current study is limited to the geographical area, of Baise, Guangxi China. Therefore, generalizability and gain a better knowledge of the overall context is limited. Additionally, due to the single time period of data collection, it may not represent the long-term takeout business operation of catering businesses. Originality/value: The research model is valid in explaining the impact of online food delivery system services on restaurant performance. In this light, understanding these influencing relationships in this study will provide valuable insights into the operation of a takeout catering enterprise. These would also benefit the related government agencies, restaurant owners or managers, and the researchers.
Abstract
Purpose: Through the lens of business performance theory, this study examines the effect of online food delivery system services on restaurant performance by analyzing the performance of restaurants engaged in takeaway services. The moderating effects of restaurant attributes on restaurant performance are also investigated. Design/methodology/approach: This research applies a positivist paradigm where a quantitative approach was selected to gather the information from the respondents based on the established sample size through G-POWER software. By applying the judgement sampling technique, the study seeks answers from the respondents through non-probability sampling. Using the software SmartPLS 3.3.3, this study analyzed 220 completed responses using the PLS-SEM approach to reach the research objectives. Findings: The findings suggested that the basic services and click-through promotion service directly and positively affected restaurant performance. The discount service has no significant influence on the restaurant performance. The study confirms that size shown a positive interaction with click-through promotion service in relation to restaurant performance, whereas the variable of price of main dishes demonstrated a negative interaction with click-through promotion service in relation to restaurant performance. There is no substantial moderating influence of age. Research limitations/implications: The current study is limited to the geographical area, of Baise, Guangxi China. Therefore, generalizability and gain a better knowledge of the overall context is limited. Additionally, due to the single time period of data collection, it may not represent the long-term takeout business operation of catering businesses. Originality/value: The research model is valid in explaining the impact of online food delivery system services on restaurant performance. In this light, understanding these influencing relationships in this study will provide valuable insights into the operation of a takeout catering enterprise. These would also benefit the related government agencies, restaurant owners or managers, and the researchers.
참고문헌 (70)
- Ahuja, K., "The rapid evolution of food delivery", pp.22~ (2021), McKinsey &Company
- Al-Gahtani, S. S., "Information technology(IT)in Saudi Arabia : Culture and the acceptance and use of IT", Information & Management, 44(8), pp.681~691 (2007)
- Ansari, A., "E-Customization", Journal of Marketing Research, 40, pp.131~145 (2003)
- Atuahene-Gima, K., "When does trust matter? Antecedents and contingent effects of supervisee trust on performance in selling new products in China and the United States", Journal of Marketing, 66(3), pp.61~81 (2002)
- Brislin, R. W., "Field methods in cross-cultural research", pp.137~164 (1986), Sage Publications, Inc
- Chan, T. Y., "Measuring the lifetime value of customers acquired from Google search advertising", Marketing Science, 30(5), pp.835~850 (2011)
- Chen, H. -S., "Consumer attitudes and purchase intentions toward food delivery platform services", Sustainability, 12(23), pp.10177~ (2020)
- Chen, B. S. Y., "What makes restaurants successful?", Hospitality Insights, 2(1), pp.10~12 (2018)
- Chen, G., "Organizational learning and learning organization : Concept, capability model, measurement and impact on organizational performance", Management Review, 21(1), pp.107~116 (2009)
- Chen, M., "Food delivery service and restaurant : Friend or foe", Management Science, 68(9), pp.6539~6551 (2022)
- Cheng, M., "Service online search ads : from a consumer journey view", Journal of Services Marketing, 32(2), pp.126~141 (2018)
- Cho, M., "Innovation ambidexterity : Balancing exploitation and exploration for startup and established restaurants and impacts upon performance", Industry and Innovation, 27(4), pp.340~362 (2020)
- de Sousa, D. D. A., "SEGMETRIK : Protocol and metrics for advertisement performance tracking in VANETs", Vehicular Communications, 22, pp.100212~ (2020)
- DeLone, W. H., "Information systems success : The quest for the dependent variable", Information Systems Research, 3(1), pp.60~95 (1992)
- Derrien, F., "Online reputation and debt capacity", Journal of Financial and Quantitative Analysis, pp.1~41 (2020)[DOI]
- DiPietro, R. B., "Restaurant QSC inspections and financial performance : An empirical investigation", International Journal of Contemporary Hospitality Management, 23(7), pp.982~999 (2011)
- Eisenmann, T., "Strategies for two-sided markets", Harvard Business Review, 84(10), pp.92~101 (2006)
- Faul, F., "Statistical power analyses using G* Power 3. 1 : Tests for correlation and regression analyses", Behavior Research Methods, 41(4), pp.1149~1160 (2009)
- Feng, H., "Research on innovation of platform business models-Analysis of temporal and spatial alignment based on the internet environment", Industrial Economy of China, (3), pp.99~113 (2016)
- Feng, J., "Implementing sponsored search in web search engines : Computational evaluation of alternative mechanisms", INFORMS Journal on Computing, 19(1), pp.137~148 (2007)
- Fernandes, E., "A data-driven approach to measure restaurant performance by combining online reviews with historical sales data", International Journal of Hospitality Management, 94, pp.102830~ (2021)
- Fornell, C., "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, 18(1), pp.39~50 (1981)
- Furunes, T., "Service-delivery success and failure under the sharing economy", International Journal of Contemporary Hospitality Management, 31(8), pp.3352~3370 (2019)
- Gefen, D., "Editor's comments: An update and extension to SEM guidelines for administrative and social science research", MIS Quarterly, 35(2), pp.3~14 (2011)
- Gold, M. S., "COVID-19 and comorbidities : A systematic review and meta-analysis", Postgraduate Medicine, 132(8), pp.749~755 (2020)
- Guadagni, P. M., "A logit model of brand choice calibrated on scanner data", Marketing Science, 2(3), pp.203~238 (1983)
- Guillet, B. D., "CEO duality and firm performance in the US restaurant industry : Moderating role of restaurant type", International Journal of Hospitality Management, 33, pp.339~346 (2013)
- Gupta, S., "Guest satisfaction and restaurant performance", The Cornell Hotel and Restaurant Administration Quarterly, 48(3), pp.284~298 (2007)
- Haber, S., "Identifying performance measures of small ventures—the case of the tourism industry", Journal of Small Business Management, 43(3), pp.257~286 (2005)
- Hair, J. F. H., "A primer on partial least squares structural equation modeling (PLS-SEM)" (2017), Sage
- Hamann, P. M., "Exploring the dimensions of organizational performance : A construct validity study", Organizational Research Methods, 16(1), pp.67~87 (2013)
- Hao, Y., "The research about corporation management performance integration evaluation system(CMPIES)", pp.5~8 (2008), Economic Management Press
- Herington, C., "E-retailing by banks:e-service quality and its importance to customer satisfaction", European Journal of Marketing, 43(9, pp.10) (2009), 1220~1231
- Hoque, A. Y., "An information search cost perspective for designing interfaces for electronic commerce", Journal of Marketing Research, 36(3), pp.387~394 (1999)
- Horta, P. M., "Food promoted on an online food delivery platform in a Brazilian metropolis during the coronavirus disease(COVID-19)pandemic : a longitudinal analysis", Public Health Nutrition, 25(5), pp.1336~1345 (2022)
- Huifeng, P., "Temporal effects of online customer reviews on restaurant visit intention : The role of perceived risk", Journal of Hospitality Marketing &Management, 30(7), pp.825~844 (2021)
- Nunnally, J.C., "Psychometric theory" (1978), McGraw Hill
- Jang, Y. J., "Building restaurant customers' trust amidst Covid-19 crisis through value-and performance-based information : Risk perception as a moderator", Global Business & Finance Review(GBFR), 26(3), pp.111~123 (2021)
- Jang, Y. J., "Understanding restaurant customers'environmental behavior in the social media context : An application of theory of planned behavior", Global Business & Finance Review, 27(2), pp.48~60 (2022)
- Jaworski, B. J., "Market orientation : Antecedents and consequences", Journal of Marketing, 57(3), pp.53~70 (1993)
- Jerath, K., "A 'position paradox' in sponsored search auctions", Marketing Science, 30(4), pp.612~627 (2011)
- Jue, C. H. E. N., "Service system decoupling for mass customization : A case study in catering services", Journal of Service Science and Management, 2(4), pp.255~264 (2009)
- Jedidi, K., "Measuring heterogeneous reservation prices for product bundles", Marketing Science, 22(1), pp.107~130 (2003)
- Kim, W. G., "The impact of social media reviews on restaurant performance : The moderating role of excellence certificate", International Journal of Hospitality Management, 55, pp.41~51 (2016)
- Kimes, S. E., "Implementing restaurant revenue management : A five-step approach", Cornell Hotel and Restaurant Administration Quarterly, 40(3), pp.16~21 (1999)
- Kimes, S. E., "Function-space revenue management : A case study from Singapore", Cornell Hotel and Restaurant Administration Quarterly, 42(6), pp.33~46 (2001)
- Kukanja, M., "The interplay among restaurant SMEs' financial, quality, and managers'perceived business performance : A balanced scorecard approach", Tourism : An International Interdisciplinary Journal, 71(2), pp.270~284 (2023)
- Lattin, J. M., "Reference effects of price and promotion on brand choice behavior", Journal of Marketing Research, 26(3), pp.299~310 (1989)
- Lee, C., "Investigating the moderating role of education on a structural model of restaurant performance using multi-group PLS-SEM analysis", Journal of Business Research, 88, pp.298~305 (2018)
- Lee, S. M., "Authentic leadership and its consequences in a hotel restaurant context", Global Business & Finance Review(GBFR), 21(2), pp.1~19 (2016)
- Li, C., "Review of online food delivery platforms and their impacts on sustainability", Sustainability, 12(14), pp.5528~ (2020)
- Llach, J., "Joint impact of quality and environmental practices on firm performance in small service businesses : An empirical study of restaurants", Journal of Cleaner Production, 44, pp.96~104 (2013)
- Mela, C. F., "The long-term impact of promotions on consumer stockpiling behavior", Journal of Marketing Research, 35(2), pp.250~262 (1998)
- Montgomery, A. L., "Designing a better shopbot", Management Science, 50(2), pp.189~206 (2004)
- Niu, F., "Entrepreneurial team heterogeneity and new firm Performance : The moderating effect of leaders' optimism", Management Review, 23(11), pp.110~119 (2011)
- Noorkhizan, M. H. I., "Current issues in hospitality and tourism: Research and innovations", pp.117~120 (2012), Routledge
- Oh, Y. K., "Determinants of Online Food Delivery(OFD)Sales during COVID-19", Global Business & Finance Review, 28(2), pp.93~ (2023)
- Park, A., "Should franchise restaurant companies own so much real estate", Global Business & Finance Review(GBFR), 21(1), pp.13~23 (2016)
- Patel, M. X., "Challenges in recruitment of research participants", Advances in Psychiatric Treatment, 9(3), pp.229~238 (2003)
- Podsakoff, P. M., "Self-reports in organizational research : Problems and prospects", Journal of Management, 12(4), pp.531~544 (1986)
- Runyan, R., "Entrepreneurial orientation versus small business orientation : what are their relationships to firm performance", Journal of Small Business Management, 46(4), pp.567~588 (2008)
- Saunders, M., "Business (Vol. 5)" (2009), Pearson
- Sim, S. C., "Conceptualising HR outsourcing effectiveness and scale development of HROSERVPERF using PLS-SEM", Benchmarking : An International Journal, 28(9), pp.2682~2710 (2021)
- Slater, S. F., "Does competitive environment moderate the market orientation-performance relationship", Journal of Marketing, 58(1), pp.46~55 (1994)
- Song, M., "The effect of perceived technological uncertainty on Japanese new product development", Academy of Management journal, 44(1), pp.61~80 (2001)
- The KPI Institute, "Top 25 Restaurant KPIs of 2016Extended Edition", ~ (2016)
- Tian, Y., "Research on the generation, business performance and growth factors of family farms", Doctor, pp.2021
- Van Veldhoven, Z., "The impact of online delivery services on the financial performance of restaurants", 2021 7th International Conference on Information Management (ICIM), pp.13~17 (2021), IEEE
- Xie, H. M., "The relationship between market orientation and organizational performance : The impact of organizational learning and innovation", Management World, 2, pp.80~94 (2006)
- Yeo, V. C. S., "Consumer experiences, attitude and behavioral intention toward online food delivery(OFD)services", Journal of Retailing and Consumer Services, 35, pp.150~162 (2017)
