PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Czasopismo
2024 | 20 | nr 1 | 81--91
Tytuł artykułu

The Impact of Website Performance on Business Sales

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this study, we aimed to investigate the financial implications of website performance on restaurant visitor traffic. It is crucial to address the current challenges faced by the restaurant industry, such as decreasing diner numbers due to rising prices, which can have a negative impact on the financial results of companies. Recognizing the significance of maximizing profitability, especially for small businesses operating in a highly competitive industry, we sought to explore the potential of website performance as a driver of increased visitor traffic and daily menu sales. We conducted a two-month field experiment in which we measured morning website visits and daily lunch menu sales for a restaurant with a slower website and one with a quicker website. However, we did not find any statistically significant increase in visits to the restaurant as a result of improving the website's speed. We conclude that there may be other ways to improve daily menu sales beyond website speed. The restaurant industry is highly competitive, and small businesses in particular need to carefully consider how to allocate their resources in order to maximize profitability. The results of our study suggest that investing in website redesign as a means of increasing visitor traffic may not be the most effective tactic for small restaurants. Our research highlights the importance of conducting experiments and gathering data to inform decision making, as it can help small businesses in the restaurant industry to make more informed choices about how to allocate their resources. By understanding the factors that do and do not impact sales, small restaurants can make more informed decisions and achieve their business goals. (original abstract)
Czasopismo
Rocznik
Tom
20
Numer
Strony
81--91
Opis fizyczny
Twórcy
  • Silesian University in Opava, Czech Republic
  • Silesian University in Opava, Czech Republic
Bibliografia
  • Aldammagh, Z., Abdaljawad, R. & Obaid, T. (2021). Factors Driving E-Learning Adoption In Palestine: An Integration of Technology Acceptance Model And Is Success Mode. Financial Internet Quarterly, 17(1), 41 -49.
  • Babin, B.J., Griffin, M. & Hair, J.F. (2016). Heresies and sacred cows in scholarly marketing publications. Journal of Business Research, 69(8), 3133-3138.
  • Baldassarri, D. & Abascal, M. (2017). Field Experiments Across the Social Sciences. Annual Review of Sociology, 43(1), 41-73.
  • Bartuskova, A. & Krejcar, O. (2015). Loading Speed of Modern Websites and Reliability of Online Speed Test Services. Computational Collective Intelligence, 9330, 65-74.
  • Basalla, M., Schneider, J., Luksik, M., Jaakonmaki, R. & Vom Brocke, J. (2021). On Latency of E-Commerce Platforms. Journal of Organizational Computing and Electronic Commerce, 31(1), 1 -17.
  • Boshoff, C. (2007). A psychometric assessment of e-squal: A scale to measure electronic service quality. Journal of Electronic Commerce Research, 8(1), 101-114.
  • Brewer, P. & Sebby, A.G. (2021). The effect of online restaurant menus on consumers' purchase intentions during the COVID-19 pandemic. International Journal of Hospitality Management, 94, 1 -9.
  • Buenadicha, M., Chamorro, A., Miranda, F.J. & González, O.R. (2001). A new web assessment index: Spanish universi-ties analysis. Internet Research, 11(3), 226-234.
  • Daries-Ramon, N., Cristobal-Fransi, E. & Marine-Roig, E. (2019). Deployment of Restaurants Websites' Marketing Fea-tures: The Case of Spanish Michelin-Starred Restaurants. International Journal of Hospitality & Tourism Administra-tion, 20(3), 249-280.
  • Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics, SAGE Publications Ltd., London.
  • Gigaspaces (2019, January 20). Amazon Found Every 100ms of Latency Cost them 1% in Sales, https:// www.gigaspaces.com/blog/amazon-found-every-100ms-of-latency-cost-them-1-in-sales, (Accessed: 06.12.2023).
  • Hacioglu, U. (2019). Handbook of Research on Strategic Fit and Design in Business Ecosystems. IGI Global, Hershey PA.
  • Harrison, G.W. & List, J.A. (2004). Field Experiments. Journal of Economic Literature, 42(4), 1009-1055.
  • Kim, H., Lee, K., Lee, D., Joung, H. & Yuan, J. (2012). Assessing the Quality of A Restaurant's Website Using DIN-EWEBQUAL. Journal of Quality Assurance in Hospitality & Tourism, 13(3), 235-245.
  • Kim, S. & Lim, J. (2001). Consumers' perceived importance of and satisfaction with Internet shopping. Electronic Mar-kets, 1(3), 148-154.
  • Lanza, B., Oliveira, M.A., Juk, Y., Ávila, T. & Valotto, D. (2022). Does web page loading speed matter? An analysis in the Brazilian Public Service Portals. Paper presented at The 23rd Annual International Conference on Digital Government Research, New York.
  • Lee, E., Hu, M.Y. & Toh, R.S. (2000). Are Consumer Survey Results Distorted? Systematic Impact of Behavioral Frequen-cy and Duration on Survey Response Error. Journal of Marketing Research, American Marketing Association, 37(1), 125-133.
  • Marsden, E. & Torgerson, C.J. (2012). Single group, pre - and post-test research designs: Some methodological con-cerns. Oxford Review of Education, Routledge, 38(5), 583-616.
  • Miranda, F.J., Rubio, S. & Chamorro, A. (2015). The Web as a Marketing Tool in the Spanish Foodservice Industry: Eval-uating the Websites of Spain's Top Restaurants. Journal of Foodservice Business Research, 18(2), 146-162.
  • Morales, A.C., Amir, O. & Lee, L. (2017). Keeping It Real in Experimental Research - Understanding When, Where, and How to Enhance Realism and Measure Consumer Behavior. Journal of Consumer Research, Oxford University Press, 44(2), 465-476).
  • Nenycz-Thiel, M., Beal, V., Ludwichowska, G. & Romaniuk, J. (2013). Investigating the accuracy of self-reports of brand usage behavior. Journal of Business Research, 66(2), 224-232.
  • Nielsen, J. (2000). Designing Web Usability. New Riders Publishing, San Francisco.
  • Rosalin, G., Poulston, J. & Goodsir, W. (2016). Strategy Communication in Family-Owned Restaurants: Ad Hoc and AdLib. International Journal of Hospitality & Tourism Administration, 17(2), 101 -122.
  • Ryan, G., Del Mar Pamies, M. & Valverde, M. (2015). WWW=WAIT, WAIT, WAIT: Emotional reactions to waiting on the internet. Journal of Electronic Commerce Research, 16(4), 261-275.
  • Schurz, G. (2013). Philosophy of Science: A Unified Approach. Routledge, New York.
  • Taimouri, A., Emamisaleh, K. & Mohammadi, D. (2019). Assessing the Usability of Online Food Ordering Websites Using a New Fuzzy Kano Method: Implications for Improvement. International Journal of Business and Management, 14(10), 87-100.
  • Torrington, D., Hall, L., Atkinson, C. & Taylor, S. (2017). Human Resource Management (10th ed.). Pearson, London.
  • Yen, B.P., Hu, J.H. & Wang, M. (2007). Toward an analytical approach for effective Website design: A framework for modeling, evaluation and enhancement. Electronic Commerce Research and Applications, 6(2), 159-170.
  • Yilmaz, G. & Gültekin, S. (2016). Consumers and Tourists' Restaurant Selections. In Avcikurt C., Dinu S.M., Hacioglu N., Efe R., Soykan A., Tetik N. (Eds.), Global Issues and Trends in Tourism (pp. 217-230). St. Kliment Ohridski University Press, Sofia.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171688276

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.