IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i2d10.1007_s11135-022-01426-5.html
   My bibliography  Save this article

Integrating big data and marketing concepts into tourism, hospitality operations and strategy development

Author

Listed:
  • Chih-Hsing Liu

    (National Open University)

  • Jeou-Shyan Horng

    (National Open University)

  • Sheng-Fang Chou

    (National Open University)

  • Tai-Yi Yu

    (National Open University)

  • Yung-Chuan Huang

    (National Open University)

  • Jun-You Lin

    (National Open University)

Abstract

Big data (BD) research articles are on new issues, this study sought to fill the knowledge gap of linkage the relationships between big data and marketing strategy with comprehensive viewpoints across different research fields in tourism and hospitality literatures. Content analysis was conducted to gather materials from the particular studies. For each study, the content analysis included the title, abstract, journal, type of sample, exploration design, statistical and analytical techniques, data collection process and keywords was also conducted to confirm the main results of the criteria. The research shows that big data adds value to marketing strategies by using social media to collect information from consumers, which is complemented with appropriate evidence relevant to predicting their needs and behaviors.

Suggested Citation

  • Chih-Hsing Liu & Jeou-Shyan Horng & Sheng-Fang Chou & Tai-Yi Yu & Yung-Chuan Huang & Jun-You Lin, 2023. "Integrating big data and marketing concepts into tourism, hospitality operations and strategy development," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1905-1922, April.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:2:d:10.1007_s11135-022-01426-5
    DOI: 10.1007/s11135-022-01426-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01426-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-022-01426-5?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. Mingming Cheng & Deborah Edwards, 2019. "A comparative automated content analysis approach on the review of the sharing economy discourse in tourism and hospitality," Current Issues in Tourism, Taylor & Francis Journals, vol. 22(1), pages 35-49, January.
    2. Anton Oleinik & Irina Popova & Svetlana Kirdina & Tatyana Shatalova, 2014. "On the choice of measures of reliability and validity in the content-analysis of texts," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2703-2718, September.
    3. Zhang, Lingyun & Lan, Chaoying & Qi, Fei & Wu, Ping, 2017. "Development pattern, classification and evaluation of the tourism academic community in China in the last ten years: From the perspective of big data of articles of tourism academic journals," Tourism Management, Elsevier, vol. 58(C), pages 235-244.
    4. Buhalis, Dimitrios & Volchek, Katerina, 2021. "Bridging marketing theory and big data analytics: The taxonomy of marketing attribution," International Journal of Information Management, Elsevier, vol. 56(C).
    5. Robert Hogenraad & Dean Mckenzie & Normand Péladeau, 2003. "Force and Influence in Content Analysis: The Production of New Social Knowledge," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(3), pages 221-238, August.
    6. Hanen Khaldi & Vicente Prado-Gascó, 2021. "Bibliometric maps and co-word analysis of the literature on international cooperation on migration," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1845-1869, October.
    7. Emma Davidson & Rosalind Edwards & Lynn Jamieson & Susie Weller, 2019. "Big data, qualitative style: a breadth-and-depth method for working with large amounts of secondary qualitative data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 363-376, January.
    8. Piera Centobelli & Valentina Ndou, 2019. "Managing customer knowledge through the use of big data analytics in tourism research," Current Issues in Tourism, Taylor & Francis Journals, vol. 22(15), pages 1862-1882, September.
    9. Carmela Iorio & Giuseppe Pandolfo & Antonio D’Ambrosio & Roberta Siciliano, 2020. "Mining big data in tourism," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1655-1669, December.
    10. A. E. Opperhuizen & K. Schouten, 2021. "Dynamics and tipping point of issue attention in newspapers: quantitative and qualitative content analysis at sentence level in a longitudinal study using supervised machine learning and big data," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 19-37, February.
    11. Dominique M. Hanssens & Koen H. Pauwels & Shuba Srinivasan & Marc Vanhuele & Gokhan Yildirim, 2014. "Consumer Attitude Metrics for Guiding Marketing Mix Decisions," Marketing Science, INFORMS, vol. 33(4), pages 534-550, July.
    Full references (including those not matched with items on IDEAS)

    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. Francisco Jiménez Alcarria & Jorge Tuñón Navarro, 2024. "Stakeholders and impact (engagement) in EU digital communication strategies during the COVID-19 vaccination campaign," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    2. Amiri, Babak & Karimianghadim, Ramin, 2024. "A novel text clustering model based on topic modelling and social network analysis," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    3. Carmela Iorio & Giuseppe Pandolfo & Antonio D’Ambrosio & Roberta Siciliano, 2020. "Mining big data in tourism," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1655-1669, December.
    4. Vivian Qin & Koen Pauwels & Bobby Zhou, 2024. "Data-driven budget allocation of retail media by ad product, funnel metric, and brand size," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 235-249, June.
    5. Rosalind Edwards & Susie Weller & Emma Davidson & Lynn Jamieson, 2023. "Small Stories of Home Moves: A Gendered and Generational Breadth-and-Depth Investigation," Sociological Research Online, , vol. 28(1), pages 210-227, March.
    6. Beyza Hatırnaz & Dilek Demirer, 2022. "Assessing The Contribution of Turkish Scholars to Tourism Scholarship," Journal of Tourismology, Istanbul University, Faculty of Economics, vol. 8(2), pages 159-193, December.
    7. Savastano Marco & Anagnoste Sorin, 2020. "Pioneering Strategies in Retail Settings: An Empirical Study of Successful Practices," Management & Marketing, Sciendo, vol. 15(4), pages 643-663, December.
    8. Epstein, Leonardo D. & Inostroza-Quezada, Ignacio E. & Goodstein, Ronald C. & Choi, S. Chan, 2021. "Dynamic effects of store promotions on purchase conversion: Expanding technology applications with innovative analytics," Journal of Business Research, Elsevier, vol. 128(C), pages 279-289.
    9. I. L. Beilin* & V. V. Khomenko & N. V. Kalenskaya & A. A. Solntseva, 2018. "The Significance of the Resource Intensity of the Regional Economy the Development of the Oil and Gas Chemical Complex," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 328-332:5.
    10. Romain Cadario & Pierre Chandon, 2020. "Which Healthy Eating Nudges Work Best? A Meta-Analysis of Field Experiments," Marketing Science, INFORMS, vol. 39(3), pages 465-486, May.
    11. Hauke A. Wetzel & Stefan Hattula & Maik Hammerschmidt & Harald J. Heerde, 2018. "Building and leveraging sports brands: evidence from 50 years of German professional soccer," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 591-611, July.
    12. Anton Oleinik, 2015. "On content analysis of images of mass protests: a case of data triangulation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 2203-2220, September.
    13. Valenti, Albert & Yildirim, Gokhan & Vanhuele, Marc & Srinivasan, Shuba & Pauwels, Koen, 2023. "Advertising’s sequence of effects on consumer mindset and sales: A comparison across brands and product categories," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 435-454.
    14. El Ouardighi, Fouad & Feichtinger, Gustav & Grass, Dieter & Hartl, Richard & Kort, Peter M., 2016. "Autonomous and advertising-dependent ‘word of mouth’ under costly dynamic pricing," European Journal of Operational Research, Elsevier, vol. 251(3), pages 860-872.
    15. Jeffrey A. Hoyle & Rebecca Dingus & J. Holton Wilson, 0. "An exploration of sales forecasting: sales manager and salesperson perspectives," Journal of Marketing Analytics, Palgrave Macmillan, vol. 0, pages 1-10.
    16. J. Andrew Petersen & V. Kumar & Yolanda Polo & F. Javier Sese, 2018. "Unlocking the power of marketing: understanding the links between customer mindset metrics, behavior, and profitability," Journal of the Academy of Marketing Science, Springer, vol. 46(5), pages 813-836, September.
    17. Bekk, Magdalena & Eppmann, René & Klein, Kristina & Völckner, Franziska, 2022. "All that glitters is not gold: An investigation into the undesired effects of gamification and how to mitigate them through gamification design," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1059-1081.
    18. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    19. Schmidt, Steffen & Buckler, Frank & Langner, Sascha & Wiedmann, Klaus-Peter, 2016. "Brand Equity Valuation Through Big Data Intelligence," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 33(2), pages 32-41.
    20. Agag, Gomaa & Durrani, Baseer Ali & Shehawy, Yasser Moustafa & Alharthi, Majed & Alamoudi, Hawazen & El-Halaby, Sherif & Hassanein, Ahmed & Abdelmoety, Ziad H., 2023. "Understanding the link between customer feedback metrics and firm performance," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

    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:spr:qualqt:v:57:y:2023:i:2:d:10.1007_s11135-022-01426-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.