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Performance implications of deploying marketing analytics

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Cited by:

  1. Pantano, Eleonora & Dennis, Charles, 2019. "Store buildings as tourist attractions: Mining retail meaning of store building pictures through a machine learning approach," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 304-310.
  2. Huynh, Minh-Tay & Nippa, Michael & Aichner, Thomas, 2023. "Big data analytics capabilities: Patchwork or progress? A systematic review of the status quo and implications for future research," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  3. Sleep, Stefan & Gala, Prachi & Harrison, Dana E., 2023. "Removing silos to enable data-driven decisions: The importance of marketing and IT knowledge, cooperation, and information quality," Journal of Business Research, Elsevier, vol. 156(C).
  4. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.
  5. Stefan Sleep & John Hulland & Richard A. Gooner, 2019. "THE DATA HIERARCHY: factors influencing the adoption and implementation of data-driven decision making," AMS Review, Springer;Academy of Marketing Science, vol. 9(3), pages 230-248, December.
  6. Germann, Frank & Lilien, Gary L. & Fiedler, Lars & Kraus, Matthias, 2014. "Do Retailers Benefit from Deploying Customer Analytics?," Journal of Retailing, Elsevier, vol. 90(4), pages 587-593.
  7. Kimberly A. Whitler & Ben Lee & Ryan Krause & Neil A. Morgan, 2021. "Upper echelons research in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 198-219, January.
  8. Liang, Xiaoning & Li, Guoxin & Zhang, Hao & Nolan, Eimear & Chen, Fadong, 2022. "Firm performance and marketing analytics in the Chinese context: A contingency model," Journal of Business Research, Elsevier, vol. 141(C), pages 589-599.
  9. Steven H. Seggie & Emre Soyer & Koen H. Pauwels, 2017. "Combining big data and lean startup methods for business model evolution," AMS Review, Springer;Academy of Marketing Science, vol. 7(3), pages 154-169, December.
  10. Eachempati, Prajwal & Srivastava, Praveen Ranjan & Kumar, Ajay & Muñoz de Prat, Javier & Delen, Dursun, 2022. "Can customer sentiment impact firm value? An integrated text mining approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  11. Robert W. Palmatier & Andrew T. Crecelius, 2019. "The “first principles” of marketing strategy," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 5-26, June.
  12. Navarro-García, Antonio & Arenas-Gaitán, Jorge & Javier Rondán-Cataluña, F. & Rey-Moreno, Manuel, 2016. "Global model of export performance: Moderator role of export department," Journal of Business Research, Elsevier, vol. 69(5), pages 1880-1886.
  13. Dimitrios K. Nasiopoulos & Dimitrios M. Mastrakoulis & Dimitrios A. Arvanitidis, 2022. "The Contribution of Digital Technology to the Forecasting of Supply Chain Development, in IT Products, Modeling and Simulation of the Problem," Forecasting, MDPI, vol. 4(4), pages 1-19, November.
  14. Bullini Orlandi, Ludovico & Zardini, Alessandro & Rossignoli, Cecilia, 2020. "Organizational technological opportunism and social media: The deployment of social media analytics to sense and respond to technological discontinuities," Journal of Business Research, Elsevier, vol. 112(C), pages 385-395.
  15. Oliveira, João S. & Yazdani, Nahid & Cadogan, John W. & Hodgkinson, Ian R. & Tsougkou, Eleni & Jean, Ruey-Jer “Bryan” & Story, Vicky M. & Boso, Nathaniel, 2018. "The empirical link between export entry mode diversity and export performance: A contingency- and institutional-based examination," Journal of Business Research, Elsevier, vol. 88(C), pages 505-512.
  16. Samuel Adomako & Kwabena Frimpong & Joseph Amankwah-Amoah & Francis Donbesuur & Robert A. Opoku, 2021. "Strategic Decision Speed and International Performance: The Roles of Competitive Intensity, Resource Flexibility, and Structural Organicity," Management International Review, Springer, vol. 61(1), pages 27-55, March.
  17. Sarantopoulos, Panagiotis & Theotokis, Aristeidis & Pramatari, Katerina & Doukidis, Georgios, 2016. "Shopping missions: An analytical method for the identification of shopper need states," Journal of Business Research, Elsevier, vol. 69(3), pages 1043-1052.
  18. “Jimmy” Xu, Zhenning & Ramirez, Edward & Liu, Pan & Frankwick, Gary L., 2024. "Evaluating underlying factor structures using novel machine learning algorithms: An empirical and simulation study," Journal of Business Research, Elsevier, vol. 173(C).
  19. Johannes Habel & Sascha Alavi & Nicolas Heinitz, 2023. "A theory of predictive sales analytics adoption," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 34-54, June.
  20. Frank Germann & Gary L. Lilien & Christine Moorman & Lars Fiedler & Till Groβmaβ, 2021. "Driving Customer Analytics From the Top," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 43-61, October.
  21. Gary L. Lilien & John H. Roberts & Venkatesh Shankar, 2013. "Effective Marketing Science Applications: Insights from the ISMS-MSI Practice Prize Finalist Papers and Projects," Marketing Science, INFORMS, vol. 32(2), pages 229-245, March.
  22. Maria Petrescu & Anjala S. Krishen, 2021. "Focusing on the quality and performance implications of marketing analytics," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 155-156, September.
  23. Clemens Koob, 2021. "Determinants of content marketing effectiveness: Conceptual framework and empirical findings from a managerial perspective," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-25, April.
  24. Samppa Suoniemi & Lars Meyer-Waarden & Andreas Munzel & Alex Ricardo Zablah & Detmar Straub, 2020. "Big data and firm performance: The roles of market-directed capabilities and business strategy," Post-Print hal-02957479, HAL.
  25. José Ramón Saura & Pedro Palos-Sánchez & Luis Manuel Cerdá Suárez, 2017. "Understanding the Digital Marketing Environment with KPIs and Web Analytics," Future Internet, MDPI, vol. 9(4), pages 1-13, November.
  26. Roberts, John H. & Kayande, Ujwal & Stremersch, Stefan, 2014. "From academic research to marketing practice: Exploring the marketing science value chain," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 127-140.
  27. Casenave, Eric & Klarmann, Martin, 2020. "The accountability paradox: How holding marketers accountable hinders alignment with short-term marketing goals," Journal of Business Research, Elsevier, vol. 112(C), pages 95-108.
  28. Anthony F. Branda & Vishal Lala & Pradeep Gopalakrishna, 2018. "The marketing analytics orientation (MAO) of firms: identifying factors that create highly analytical marketing practices," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(3), pages 84-94, September.
  29. Imran Bashir Dar & Muhammad Bashir Khan & Abdul Zahid Khan & Bahaudin G. Mujtaba, 2021. "A qualitative analysis of the marketing analytics literature: where would ethical issues and legality rank?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 242-261, September.
  30. Lessmann, Stefan & Coussement, Kristof & De Bock, Koen W. & Haupt, Johannes, 2018. "Targeting customers for profit: An ensemble learning framework to support marketing decision making," IRTG 1792 Discussion Papers 2018-012, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  31. Mike McGuirk, 2023. "Performing web analytics with Google Analytics 4: a platform review," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 854-868, December.
  32. Mishra, Deepa Bhatt & Haider, Imran & Gunasekaran, Angappa & Sakib, Md. Nazmus & Malik, Nishtha & Rana, Nripendra P., 2023. "“Better together”: Right blend of business strategy and digital transformation strategies," International Journal of Production Economics, Elsevier, vol. 266(C).
  33. Frank Germann & Gary L. Lilien & Christine Moorman & Lars Fiedler & Till Groβmaβ, 2020. "Driving Customer Analytics From the Top," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 43-61, October.
  34. Dawn Iacobucci & Maria Petrescu & Anjala Krishen & Michael Bendixen, 2019. "The state of marketing analytics in research and practice," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 152-181, September.
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