Predictive Guest Analytics

Predictive Guest Analytics is a data-driven analytical framework within digital guest engagement that utilizes historical and real-time guest interaction data, machine learning algorithms, and behavioral modeling to forecast future guest preferences, behaviors, and service expectations, thereby enabling proactive personalization and operational decision-making in hospitality and service environments.

4

Publications

148

Citations

11

Authors

9

Institutions

Publications per year

2017–2026

4

Authors

11

  1. AT
    Abhishek Tandon

    University of Delhi, India

    1 publications · 26 citations

    1

    h-index

  2. MI
    Mahmoud Ibraheam Saleh

    Helwan University, Egypt

    1 publications · 52 citations

    1

    h-index

  3. RL
    Rob Law

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 55 citations

    1

    h-index

  4. AG
    Anu G. Aggarwal

    University of Delhi, India

    1 publications · 26 citations

    1

    h-index

  5. RW
    Rong Wu

    Guangdong University of Technology, China

    1 publications · 55 citations

    1

    h-index

1–5 of 11

Venues

  1. Journal of Hospitality Marketing & Management

    JHMM · 2 publications · 78 citations

    2

    h-index

  2. 1

    h-index

  3. Economic Research-Ekonomska Istraživanja

    1 publications · 15 citations

    1

    h-index

1–3