IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v62y2021ics096969892100196x.html
   My bibliography  Save this article

Big social data and customer decision making in vegetarian restaurants: A combined machine learning method

Author

Listed:
  • Nilashi, Mehrbakhsh
  • Ahmadi, Hossein
  • Arji, Goli
  • Alsalem, Khalaf Okab
  • Samad, Sarminah
  • Ghabban, Fahad
  • Alzahrani, Ahmed Omar
  • Ahani, Ali
  • Alarood, Ala Abdulsalam

Abstract

Customers increasingly use various social media to share their opinion about restaurants service quality. Big data collected from social media provides a data platform to improve the service quality of restaurants through customers' online reviews, where online reviews are a trustworthy and reliable source that helps consumers to evaluate food quality. Developing methods for effective evaluation of customer-generated reviews of restaurant services is important. This study develops a new method through effective learning techniques for customer segmentation and their preferences prediction in vegetarian friendly restaurants. The method is developed through text mining (Latent Dirichlet Allocation), cluster analysis (Self Organizing Map) and predictive learning technique (Classification and Regression Trees) to reveal the customer’ satisfaction levels from the service quality in vegetarian friendly restaurants. Based on the obtained results of our experiments on the data vegetarian friendly restaurants in Bangkok, the models constructed by Classification and Regression Trees were able to give an accurate prediction of customers' preferences on the basis of restaurants' quality factors. The results showed that customers’ online reviews analysis can be an effective way for customers segmentation to predict their preferences and help the restaurant managers to set priority instructions for service quality improvements.

Suggested Citation

  • Nilashi, Mehrbakhsh & Ahmadi, Hossein & Arji, Goli & Alsalem, Khalaf Okab & Samad, Sarminah & Ghabban, Fahad & Alzahrani, Ahmed Omar & Ahani, Ali & Alarood, Ala Abdulsalam, 2021. "Big social data and customer decision making in vegetarian restaurants: A combined machine learning method," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:joreco:v:62:y:2021:i:c:s096969892100196x
    DOI: 10.1016/j.jretconser.2021.102630
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096969892100196X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2021.102630?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Yuhan & Feng, Xin & Wu, Ye & Xiao, Jinghua, 2018. "The dynamics of online ratings with heterogeneous preferences in online review platform," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 26-30.
    2. Konuk, Faruk Anıl, 2019. "The influence of perceived food quality, price fairness, perceived value and satisfaction on customers’ revisit and word-of-mouth intentions towards organic food restaurants," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 103-110.
    3. Xianghua Lu & Sulin Ba & Lihua Huang & Yue Feng, 2013. "Promotional Marketing or Word-of-Mouth? Evidence from Online Restaurant Reviews," Information Systems Research, INFORMS, vol. 24(3), pages 596-612, September.
    4. Muhammed Ngoma & Peter Dithan Ntale, 2019. "Word of mouth communication: A mediator of relationship marketing and customer loyalty," Cogent Business & Management, Taylor & Francis Journals, vol. 6(1), pages 1580123-158, January.
    5. Xiangbin Yan & Jing Wang & Michael Chau, 2015. "Customer revisit intention to restaurants: Evidence from online reviews," Information Systems Frontiers, Springer, vol. 17(3), pages 645-657, June.
    6. Tan, Huimin & Lv, Xingyang & Liu, Xiaoyan & Gursoy, Dogan, 2018. "Evaluation nudge: Effect of evaluation mode of online customer reviews on consumers’ preferences," Tourism Management, Elsevier, vol. 65(C), pages 29-40.
    7. Liu, Stephanie Q. & Choi, Sungwoo & Mattila, Anna S., 2019. "Love is in the menu: Leveraging healthy restaurant brands with handwritten typeface," Journal of Business Research, Elsevier, vol. 98(C), pages 289-298.
    8. Fu, Chong Yau, 2004. "Combining loglinear model with classification and regression tree (CART): an application to birth data," Computational Statistics & Data Analysis, Elsevier, vol. 45(4), pages 865-874, May.
    9. Yadegaridehkordi, Elaheh & Nilashi, Mehrbakhsh & Nizam Bin Md Nasir, Mohd Hairul & Momtazi, Saeedeh & Samad, Sarminah & Supriyanto, Eko & Ghabban, Fahad, 2021. "Customers segmentation in eco-friendly hotels using multi-criteria and machine learning techniques," Technology in Society, Elsevier, vol. 65(C).
    10. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    11. Filieri, Raffaele & Alguezaui, Salma & McLeay, Fraser, 2015. "Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth," Tourism Management, Elsevier, vol. 51(C), pages 174-185.
    12. Mehrbakhsh Nilashi & Abbas Mardani & Huchang Liao & Hossein Ahmadi & Azizah Abdul Manaf & Wafa Almukadi, 2019. "A Hybrid Method with TOPSIS and Machine Learning Techniques for Sustainable Development of Green Hotels Considering Online Reviews," Sustainability, MDPI, vol. 11(21), pages 1-21, October.
    13. Roitner-Schobesberger, Birgit & Darnhofer, Ika & Somsook, Suthichai & Vogl, Christian R., 2008. "Consumer perceptions of organic foods in Bangkok, Thailand," Food Policy, Elsevier, vol. 33(2), pages 112-121, April.
    14. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    15. Nick Hajli, 2018. "Ethical Environment in the Online Communities by Information Credibility: A Social Media Perspective," Journal of Business Ethics, Springer, vol. 149(4), pages 799-810, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zibarzani, Masoumeh & Abumalloh, Rabab Ali & Nilashi, Mehrbakhsh & Samad, Sarminah & Alghamdi, O.A. & Nayer, Fatima Khan & Ismail, Muhammed Yousoof & Mohd, Saidatulakmal & Mohammed Akib, Noor Adelyna, 2022. "Customer satisfaction with Restaurants Service Quality during COVID-19 outbreak: A two-stage methodology," Technology in Society, Elsevier, vol. 70(C).
    2. C, Deep Prakash & Majumdar, Adrija, 2023. "Predicting sports fans’ engagement with culturally aligned social media content: A language expectancy perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    3. Morimura, Fumikazu & Sakagawa, Yuji, 2023. "The intermediating role of big data analytics capability between responsive and proactive market orientations and firm performance in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    4. Kulikovskaja, Viktorija & Hubert, Marco & Grunert, Klaus G. & Zhao, Hong, 2023. "Driving marketing outcomes through social media-based customer engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zibarzani, Masoumeh & Abumalloh, Rabab Ali & Nilashi, Mehrbakhsh & Samad, Sarminah & Alghamdi, O.A. & Nayer, Fatima Khan & Ismail, Muhammed Yousoof & Mohd, Saidatulakmal & Mohammed Akib, Noor Adelyna, 2022. "Customer satisfaction with Restaurants Service Quality during COVID-19 outbreak: A two-stage methodology," Technology in Society, Elsevier, vol. 70(C).
    2. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Minaei-Bidgoli, Behrouz & Abdu Zogaan, Waleed & Alhargan, Ashwaq & Mohd, Saidatulakmal & Syed Azhar, Sharifah Nurlaili Farhana & Asadi, Shahla & Samad, Sar, 2022. "Revealing travellers’ satisfaction during COVID-19 outbreak: Moderating role of service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    3. Liu, Chih-Hsing & Horng, Jeou-Shyan & Chou, Sheng-Fang & Yu, Tai-Yi & Lee, Ming-Tsung & Lapuz, Maria Carmen B., 2023. "Discovery sustainable servicescape on behavioural intention practices and nationality: The moderating role of parasocial interaction," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    4. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    5. Islam Elbayoumi Salem & Ahmed Mohamed Elbaz & Alamir Al-Alawi & Nasser Alhamar Alkathiri & Kareem A. Rashwan, 2022. "Investigating the Role of Green Hotel Sustainable Strategies to Improve Customer Cognitive and Affective Image: Evidence from PLS-SEM and fsQCA," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    6. José Alberto Martínez-González & Eduardo Parra-López & Almudena Barrientos-Báez, 2021. "Young Consumers’ Intention to Participate in the Sharing Economy: An Integrated Model," Sustainability, MDPI, vol. 13(1), pages 1-21, January.
    7. Zhuolan Bao & Wenwen Li & Pengzhen Yin & Michael Chau, 2021. "Examining the impact of review tag function on product evaluation and information perception of popular products," Information Systems and e-Business Management, Springer, vol. 19(2), pages 517-539, June.
    8. Charitha Harshani Perera & Rajkishore Nayak & Long Thang Van Nguyen, 2019. "Role of social word-of-mouth on emotional brand attachment and brand choice intention: A study on private educational institutes in Vietnam," Proceedings of Business and Management Conferences 8611115, International Institute of Social and Economic Sciences.
    9. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    10. Marios Kokkodis & Theodoros Lappas, 2020. "Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms," Information Systems Research, INFORMS, vol. 31(2), pages 412-430, June.
    11. Jahyun Goo & C. Derrick Huang & Chul Woo Yoo & Chulmo Koo, 2022. "Smart Tourism Technologies’ Ambidexterity: Balancing Tourist’s Worries and Novelty Seeking for Travel Satisfaction," Information Systems Frontiers, Springer, vol. 24(6), pages 2139-2158, December.
    12. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Samad, Sarminah & Alrizq, Mesfer & Alyami, Sultan & Alghamdi, Abdullah, 2023. "Analysis of customers' satisfaction with baby products: The moderating role of brand image," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    13. Zajadacz Alina & Minkwitz Aleksandra, 2020. "Using Social Media Data to Plan for Tourism," Quaestiones Geographicae, Sciendo, vol. 39(3), pages 125-138, September.
    14. Verma, Anuj & Chakraborty, Debarun & Verma, Meenakshi, 2023. "Barriers of food delivery applications: A perspective from innovation resistance theory using mixed method," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    15. Miguel Ángel Ríos-Martín & José Antonio Folgado-Fernández & Pedro R. Palos-Sánchez & Paula Castejón-Jiménez, 2019. "The Impact of the Environmental Quality of Online Feedback and Satisfaction When Exploring the Critical Factors for Luxury Hotels," Sustainability, MDPI, vol. 12(1), pages 1-24, December.
    16. Wang, Zheng & Wang, Lun & Ji, Ying & Zuo, Lulu & Qu, Shaojian, 2022. "A novel data-driven weighted sentiment analysis based on information entropy for perceived satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    17. Yalcin, Ahmet Selcuk & Kilic, Huseyin Selcuk & Delen, Dursun, 2022. "The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    18. Yi Luo & Xiaowei Xu, 2019. "Predicting the Helpfulness of Online Restaurant Reviews Using Different Machine Learning Algorithms: A Case Study of Yelp," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    19. Alzate, Miriam & Arce-Urriza, Marta & Cebollada, Javier, 2022. "Mining the text of online consumer reviews to analyze brand image and brand positioning," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    20. Rosa Maria Fanelli & Luca Romagnoli, 2020. "Customer Satisfaction with Farmhouse Facilities and Its Implications for the Promotion of Agritourism Resources in Italian Municipalities," Sustainability, MDPI, vol. 12(5), pages 1-21, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:62:y:2021:i:c:s096969892100196x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.