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Mapping 2022 in Journal of Marketing Analytics: what lies ahead?

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Listed:
  • Maria Petrescu

    (Embry-Riddle Aeronautical University)

  • Anjala S. Krishen

    (University of Nevada)

Abstract

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Suggested Citation

  • Maria Petrescu & Anjala S. Krishen, 2023. "Mapping 2022 in Journal of Marketing Analytics: what lies ahead?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(1), pages 1-4, March.
    • Handle: RePEc:pal:jmarka:v:11:y:2023:i:1:d:10.1057_s41270-023-00214-w
    DOI: 10.1057/s41270-023-00214-w
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    References listed on IDEAS

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    1. Shelley A. Blozis, 2022. "Bayesian two-part multilevel model for longitudinal media use data," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 311-328, December.
    2. Intaka Piriyakul & Rapepun Piriyakul, 2022. "The moderating effect of influencer on the causal map of mutual information, coproducer and customer value: a thematic analysis of messages posted by brand communities," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 131-144, June.
    3. Matthew D. Vollrath & Salvador G. Villegas, 2022. "Avoiding digital marketing analytics myopia: revisiting the customer decision journey as a strategic marketing framework," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 106-113, June.
    4. Sıddık Bozkurt & David Gligor & Nichole Gligor, 2022. "Investigating the impact of psychological customer engagement on customer engagement behaviors: the moderating role of customer commitment," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 408-424, December.
    5. Mark Legg & Timothy Webb & Apostolos Ampountolas, 2022. "Marketing to the next generation of casino patrons," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 89-101, March.
    6. Jia Li & Rachel McCrary, 2022. "Consumer communications and current events: a cross-cultural study of the change in consumer response to company social media posts due to the COVID-19 pandemic," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 173-183, June.
    7. Ömer Zeybek & Burç Ülengin, 2022. "The effect of sales promotions intensity on volume and variability in category sales of large retailers," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 19-29, March.
    8. Michelle Yoo & Sungsik Yoon, 2022. "The six lodging attributes that determine travelers’ preference on Airbnb or hotel," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 299-310, December.
    9. Chandrasekhar Valluri & Sudhakar Raju & Vivek H. Patil, 2022. "Customer determinants of used auto loan churn: comparing predictive performance using machine learning techniques," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 279-296, September.
    10. Pradeep Kautish & Arpita Khare & Rajesh Sharma, 2022. "Health insurance policy renewal: an exploration of reputation, performance, and affect to understand customer inertia," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 261-278, September.
    11. Shing H. Doong, 2022. "Comparing the effect of interactivity and reputation on purchase intention in live commerce: a serial mediation study," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 329-340, December.
    12. Wong Foong Yee & Siew Imm Ng & Kaixin Seng & Xin-Jean Lim & Thanuja Rathakrishnan, 2022. "How does social media marketing enhance brand loyalty? Identifying mediators relevant to the cinema context," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 114-130, June.
    13. Zahra Ghorbani & Sanaz Kargaran & Ali Saberi & Manijeh Haghighinasab & Seyedh Mahboobeh Jamali & Nader Ale Ebrahim, 2022. "Trends and patterns in digital marketing research: bibliometric analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 158-172, June.
    14. Taku Moriyama & Masashi Kuwano, 2022. "Causal inference for contemporaneous effects and its application to tourism product sales data," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 250-260, September.
    15. Bruno F. Abrantes & Klaus Grue Ostergaard, 2022. "Digital footprint wrangling: are analytics used for better or worse? A concurrent mixed methods research on the commercial (ab)use of dataveillance," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 187-206, September.
    16. Choi-Meng Leong & Alexa Min-Wei Loi & Steve Woon, 2022. "The influence of social media eWOM information on purchase intention," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 145-157, June.
    17. Marco Vriens & Nathan Bosch & Chad Vidden & Jason Talwar, 2022. "Prediction and profitability in market segmentation typing tools," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 360-389, December.
    18. Djonata Schiessl & Helison Bertoli Alves Dias & José Carlos Korelo, 2022. "Artificial intelligence in marketing: a network analysis and future agenda," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 207-218, September.
    19. Andrea Caputo & Mariya Kargina, 2022. "A user-friendly method to merge Scopus and Web of Science data during bibliometric analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 82-88, March.
    20. Manisha Mathur, 2022. "Who pulls the strings: firm strategy or firm environment in controlling firm risk?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 341-359, December.
    21. Souheila Kaabachi & Selima Ben Mrad & Tais Barreto, 2022. "Reshaping the bank experience for GEN Z in France," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 219-231, September.
    22. Dora Simões & Joana Nogueira, 2022. "Learning about the customer for improving customer retention proposal of an analytical framework," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 50-63, March.
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