Pokaż uproszczony rekord

dc.contributor.authorWiastuti, Rachel Dyah
dc.contributor.authorRashid, Basri
dc.date.accessioned2025-01-07T07:40:29Z
dc.date.available2025-01-07T07:40:29Z
dc.date.issued2024-07-25
dc.identifier.issn0867-5856
dc.identifier.urihttp://hdl.handle.net/11089/54063
dc.description.abstractThe study aims to explore the restaurant attributes that fit specifically into three different types of food and beverage businesses: casual dining, fast food and coffee shops. The notion is based on customer-perceived importance proposed for a specific one-generation cohort. There were 519 respondents from Generation Z, gathered in mid-2023 using both printed and online questionnaires. Data were analyzed using factor analysis with SPSS. The restaurant attribute consisted of five types based on past literature, food, service, ambiance, experience and safety. However, the findings for the Gen Z context, resolved into only three types: casual dining, fast food and coffee shops, consisting of 30, 23 and 27 items respectively. To add, despite female Gen Z demanding more cleanliness than its male counterpart, both agree that quality of taste is the most important attribute for choosing a restaurant. The result of this study provides valuable information for restaurant businesses to better grasp Gen Z market’s dining habits. Restaurant operators will understand how customers evaluate the relevance of restaurant qualities differently.en
dc.language.isoen
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl
dc.relation.ispartofseriesTuryzm/Tourism;2en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectcasual diningen
dc.subjectfood attributeen
dc.subjectrestaurant attributeen
dc.subjectsafety attributeen
dc.subjectservice attributeen
dc.titleCustomer-perceived importance of restaurant attributes for casual dining, fast food and coffee shopsen
dc.typeArticle
dc.page.number35-46
dc.contributor.authorAffiliationWiastuti, Rachel Dyah - Bina Nusantara University (Jakarta, Indonesia), Hotel Management Departmenen
dc.contributor.authorAffiliationRashid, Basri - Universiti Utara Malaysia (Sintok, Malaysia), School of Tourism, Hospitality, and Event Managementen
dc.identifier.eissn2080-6922
dc.referencesAhmad, F., Ghazali, H., Othman, M., & Jules, N.J. (2017). Influence of restaurant attributes towards perceived value and customer overall satisfaction at casual dining restaurants in Klang Valley. World Applied Sciences Journal, 35, 33–39. https://www.idosi.org/wasj/wasj35(SEIHT)17/7.pdfen
dc.referencesBae, S., Slevitch, L., & Tomas, S. (2018). The effects of restaurant attributes on satisfaction and return patronage intentions: Evidence from solo diners’ experiences in the United States. Cogent Business & Management, 5(1), Article 1493903. https://doi.org/10.1080/23311975.2018.1493903en
dc.referencesCanny, I.U. (2014). Measuring the mediating role of dining experience attributes on customer satisfaction and its impact on behavioral intentions of casual dining restaurant in Jakarta. International Journal of Innovation, Management and Technology, 5(1), 25–29. https://doi.org/10.7763/IJIMT.2014.V5.480en
dc.referencesCheng, C.-C., Wu, H.-C., Tsai, M.-C., Chang, Y.-Y., & Chen, C.-T. (2020). Determinants of customers’ choice of dining-related services: The case of Taipei City. British Food Journal, 122(5), 1549–1571. https://doi.org/10.1108/BFJ-07-2019-0566en
dc.referencesChoi, H., Choi, E.-K., Yoon, B., & Joung, H.-W. (2020). Understanding food truck customers: Selection attributes and customer segmentation. International Journal of Hospitality Management, 90, Article 102647. https://doi.org/10.1016/j.ijhm.2020.102647en
dc.referencesChoi, S., Yang, E.C.L., & Tabari, S. (2020). Solo dining in Chinese restaurants: A mixed-method study in Macao. International Journal of Hospitality Management, 90, Article 102628. https://doi.org/10.1016/j.ijhm.2020.102628en
dc.referencesChoi, J., & Zhao, J. (2014). Consumers’ behaviors when eating out: Does eating out change consumers’ intention to eat healthily? British Food Journal, 116(3), 494–509. https://doi.org/10.1108/BFJ-06-2012-0136en
dc.referencesChun, S.-H., & Nyam-Ochir, A. (2020). The effects of fast food restaurant attributes on customer satisfaction, revisit intention, and recommendation using DINESERV Scale. Sustainability, 12(18), Article 7435. https://doi.org/10.3390/su12187435en
dc.referencesCobanoglu, C., Bilgihan, A., Nusair, K., & Berezina, K. (2012). The impact of Wi-Fi service in restaurants on customers’ likelihood of return to a restaurant. Journal of Foodservice Business Research, 15(3), 285–299. https://doi.org/10.1080/15378020.2012.706194en
dc.referencesDimock, M. (2019, March 17). Defining generations: Where Millennials end and Generation Z begins. Pew Research Center. http://tony-silva.com/eslefl/miscstudent/downloadpagearticles/defgenerations-pew.pdfen
dc.referencesDo, H. (2020). A study on importance and satisfaction of Michelin restaurant selection attributes: Starred restaurants and Bib Gourmand restaurants. Journal of the Korean Society of Food Culture, 35(1), 55–64. https://doi.org/10.7318/KJFC/2020.35.1.55en
dc.referencesErkmen, E. (2019). Managing restaurant attributes for destination satisfaction: What goes beyond food? Administrative Sciences, 9(1), Article 19. https://doi.org/10.3390/admsci9010019en
dc.referencesErkmen, E., & Hancer, M. (2019). Building brand relationship for restaurants: An examination of other customers, brand image, trust, and restaurant attributes. International Journal of Contemporary Hospitality Management, 31(3), 1469–1487. https://doi.org/10.1108/IJCHM-08-2017-0516en
dc.referencesGen Z prioritizes in-store WiFi. (2017, May 30). Retail Info System News. https://risnews.com/report-gen-z-prioritizes-store-wifien
dc.referencesGomez, K., Mawhinney, T., & Betts, K. (n.d.). Welcome to Generation Z. Network of Executive Women & Deloitte. https://www2.deloitte.com/content/dam/Deloitte/us/Documents/consumer-business/welcome-to-gen-z.pdfen
dc.referencesHa, J., & Jang, S.(S.). (2013). Attributes, consequences, and consumer values: A means-end chain approach across restaurant segments. International Journal of Contemporary Hospitality Management, 25(3), 383–409. https://doi.org/10.1108/09596111311311035en
dc.referencesHair, J.F., Jr., Black, W.C., Babin, B.J., & Anderson, R.E. (2014). Multivariate data analysis: A global perspective (7th ed.). Pearson Education.en
dc.referencesHalimi, F.F., Gabarre, S., Rahi, S., Al-Gasawneh, J.A., & Ngah, A.H. (2021). Modelling Muslims’ revisit intention of non-halal certified restaurants in Malaysia. Journal of Islamic Marketing, 13(11), 2437–2461. https://doi.org/10.1108/JIMA-01-2021-0014en
dc.referencesHarrington, R.J., Ottenbacher, M.C., & Kendall, K.W. (2011). Fine-dining restaurant selection: Direct and moderating effects of customer attributes. Journal of Foodservice Business Research, 14(3), 272–289. https://doi.org/10.1080/15378020.2011.594388en
dc.referencesJeon, J., Yoo, M., & Christodoulidou, N. (2019). The impact of Wi-Fi service on millennial diners. Journal of Hospitality and Tourism Technology, 10(3), 383–400. https://doi.org/10.1108/JHTT-11-2017-0133en
dc.referencesKolb, B. (2018). Marketing research for the tourism, hospitality and events industries. Routledge.en
dc.referencesKwok, L., Huang, Y.-K., & Hu, L. (2016). Green attributes of restaurants: What really matters to consumers? International Journal of Hospitality Management, 55, 107–117. https://doi.org/10.1016/j.ijhm.2016.03.002en
dc.referencesKyriazos, T.A. (2018). Applied psychometrics: Sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology, 9, 2207–2230. https://doi.org/10.4236/psych.2018.98126en
dc.referencesLiu, P., & Tse, E.C.-Y. (2018). Exploring factors on customers’ restaurant choice: An analysis of restaurant attributes. British Food Journal, 120(10), 2289–2303. https://doi.org/10.1108/BFJ-10-2017-0561en
dc.referencesMacCallum, R.C., Widaman, K.F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4(1), 84–99. https://doi.org/10.1037/1082-989X.4.1.84en
dc.referencesMarinkovic, V., Senic, V., & Mimovic, P. (2015). Factors affecting choice and image of ethnic restaurants in Serbia. British Food Journal, 117(7), 1903–1920. https://doi.org/10.1108/BFJ-09-2014-0313en
dc.referencesMohd Yusof, Y.L., Wan Jusoh, W.J., & Maulan, S. (2021). Perceived quality association as determinant to re-patronise Shariah-compliant brand restaurants. Journal of Islamic Marketing, 12(2), 302–315. https://doi.org/10.1108/JIMA-10-2018-0190en
dc.referencesOttenbacher, M.C., Kuechle, G., Harrington, R.J., & Kim, W.-H. (2019). QSR customer sustainable behaviors and brand practice perceptions on willingness to pay a premium. International Hospitality Review, 33(2), 106–125. https://doi.org/10.1108/IHR-03-2019-0006en
dc.referencesParasuraman, A., Zeithaml, V.A., & Berry, L.L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.en
dc.referencesPizam, A., Shapoval, V., & Ellis, T. (2016). Customer satisfaction and its measurement in hospitality enterprises: A revisit and update. International Journal of Contemporary Hospitality Management, 28(1), 2–35. https://doi.org/10.1108/IJCHM-04-2015-0167en
dc.referencesPonnam, A., & Balaji, M.S. (2014). Matching visitation-motives and restaurant attributes in casual dining restaurants. International Journal of Hospitality Management, 37, 47–57. https://doi.org/10.1016/j.ijhm.2013.10.004en
dc.referencesRhee, H.T., Yang, S.-B., & Kim, K. (2016). Exploring the comparative salience of restaurant attributes: A conjoint analysis approach. International Journal of Information Management, 36(6 Part B), 1360–1370. https://doi.org/10.1016/j.ijinfomgt.2016.03.001en
dc.referencesRichardson, S., Lefrid, M., Jahani, S., Munyon, M.D., & Rasoolimanesh, S.M. (2019). Effect of dining experience on future intention in quick service restaurants. British Food Journal, 121(11), 2620–2636. https://doi.org/10.1108/BFJ-09-2018-0617en
dc.referencesScozzafava, G., Contini, C., Romano, C., & Casini, L. (2017). Eating out: Which restaurant to choose? British Food Journal, 119(8), 1870–1883. https://doi.org/10.1108/BFJ-12-2016-0591en
dc.referencesSelig, A. (2024, January 5). Generation influence: Reaching Gen Z in the new digital paradigm. WP Engine. https://wpengine.com/resources/gen-z-2020-full-report/en
dc.referencesSingh, G., Slack, N., Sharma, S., Mudaliar, K., Narayan, S., Kaur, R., & Sharma, K.U. (2021). Antecedents involved in developing fast-food restaurant customer loyalty. The TQM Journal, 33(8), 1753–1769. https://doi.org/10.1108/TQM-07-2020-0163en
dc.referencesSouki, G.Q., Antonialli, L.M., da Silveira Barbosa, Á.A., & Silva Oliveira, A. (2020). Impacts of the perceived quality by consumers’ of à la carte restaurants on their attitudes and behavioural intentions. Asia Pacific Journal of Marketing and Logistics, 32(2), 301–321. https://doi.org/10.1108/APJML-11-2018-0491en
dc.referencesStangierska, D., Kowalczuk, I., Świątkowska, M., & Górska-Warsewicz, H. (2019). The influence of nutritional information upon customer attitude and behaviour in eating out establishments. Roczniki Państwowego Zakładu Higieny, 70(1), 35–40. https://doi.org/10.32394/rpzh.2019.0052en
dc.referencesStevens, P., Knutson, B., & Patton, M. (1995). DINESERV: A tool for measuring service quality in restaurants. The Cornell Hotel and Restaurant Administration Quarterly, 36(2), 56–60. https://doi.org/10.1016/0010-8804(95)93844-Ken
dc.referencesTuzovic, S., Kabadayi, S., & Paluch, S. (2021). To dine or not to dine? Collective wellbeing in hospitality in the COVID-19 era. International Journal of Hospitality Management, 95, Article 102892. https://doi.org/10.1016/j.ijhm.2021.102892en
dc.referencesWiastuti, R.D., Lestari, N.S., Ngatemin, N., Mulyadi, B., & Masatip, A. (2020). The generation Z characteristics and hotel choices. African Journal of Hospitality, Tourism and Leisure, 9(1), 1–14. https://www.ajhtl.com/uploads/7/1/6/3/7163688/article_24_vol_9_1__2020_indonesia.pdfen
dc.referencesYu, Y.S., Luo, M., & Zhu, D.H. (2018). The effect of quality attributes on visiting consumers’ patronage intentions of green restaurants. Sustainability, 10(4), Article 1187. https://doi.org/10.3390/su10041187en
dc.contributor.authorEmailWiastuti, Rachel Dyah - rwiastuti@binus.edu
dc.contributor.authorEmailRashid, Basri - basri@uum.edu.my
dc.identifier.doi10.18778/0867-5856.34.2.02
dc.relation.volume34


Pliki tej pozycji

Thumbnail

Pozycja umieszczona jest w następujących kolekcjach

Pokaż uproszczony rekord

https://creativecommons.org/licenses/by-nc-nd/4.0
Poza zaznaczonymi wyjątkami, licencja tej pozycji opisana jest jako https://creativecommons.org/licenses/by-nc-nd/4.0