IDEAS home Printed from https://ideas.repec.org/r/eee/jouret/v93y2017i1p79-95.html
   My bibliography  Save this item

The Role of Big Data and Predictive Analytics in Retailing

Citations

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


Cited by:

  1. Ron Berman & Ayelet Israeli, 2022. "The Value of Descriptive Analytics: Evidence from Online Retailers," Marketing Science, INFORMS, vol. 41(6), pages 1074-1096, November.
  2. Christiane Lehrer & Manuel Trenz, 2022. "Omnichannel Business," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 687-699, June.
  3. 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.
  4. Bidler, Margarita & Zimmermann, Johanna & Schumann, Jan H. & Widjaja, Thomas, 2020. "Increasing Consumers’ Willingness to Engage in Data Disclosure Processes through Relevance-Illustrating Game Elements," Journal of Retailing, Elsevier, vol. 96(4), pages 507-523.
  5. Kakatkar, Chinmay & Spann, Martin, 2019. "Marketing analytics using anonymized and fragmented tracking data," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 117-136.
  6. Matti Mäntymäki & Sami Hyrynsalmi & Antti Koskenvoima, 0. "How Do Small and Medium-Sized Game Companies Use Analytics? An Attention-Based View of Game Analytics," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
  7. Sheng-Chi Chen & Shari S. C. Shang, 2021. "Sustaining User Experience in a Smart System in the Retail Industry," Sustainability, MDPI, vol. 13(9), pages 1-14, May.
  8. Yini Chen & Ting Chi, 2021. "How Does Channel Integration Affect Consumers’ Selection of Omni-Channel Shopping Methods? An Empirical Study of U.S. Consumers," Sustainability, MDPI, vol. 13(16), pages 1-29, August.
  9. de Bellis, Emanuel & Venkataramani Johar, Gita, 2020. "Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption," Journal of Retailing, Elsevier, vol. 96(1), pages 74-87.
  10. Pascucci, Federica & Nardi, Lorenzo & Marinelli, Luca & Paolanti, Marina & Frontoni, Emanuele & Gregori, Gian Luca, 2022. "Combining sell-out data with shopper behaviour data for category performance measurement: The role of category conversion power," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
  11. Madani, Fatima & Seenivasan, Satheesh & Ma, Junzhao, 2021. "Determinants of store patronage: The roles of political ideology, consumer and market characteristics," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
  12. Zeynep Hilal Kilimci & A. Okay Akyuz & Mitat Uysal & Selim Akyokus & M. Ozan Uysal & Berna Atak Bulbul & Mehmet Ali Ekmis, 2019. "An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain," Complexity, Hindawi, vol. 2019, pages 1-15, March.
  13. Matti Mäntymäki & Sami Hyrynsalmi & Antti Koskenvoima, 2020. "How Do Small and Medium-Sized Game Companies Use Analytics? An Attention-Based View of Game Analytics," Information Systems Frontiers, Springer, vol. 22(5), pages 1163-1178, October.
  14. Dhruv Grewal & John Hulland & Praveen K. Kopalle & Elena Karahanna, 2020. "The future of technology and marketing: a multidisciplinary perspective," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 1-8, January.
  15. Anastasia Griva & Cleopatra Bardaki & Katerina Pramatari & Georgios Doukidis, 2022. "Factors Affecting Customer Analytics: Evidence from Three Retail Cases," Information Systems Frontiers, Springer, vol. 24(2), pages 493-516, April.
  16. Céline Baud & Cédric Durand, 2021. "Making profits by leading retailers in the digital transition: A comparative analysis of Carrefour, Amazon and Wal-Mart (1996-2019)," Working Papers hal-03332318, HAL.
  17. Pramono, Ari & Oppewal, Harmen, 2021. "Where to refuel: Modeling on-the-way choice of convenience outlet," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
  18. Martin, Kelly D. & Kim, Jisu J. & Palmatier, Robert W. & Steinhoff, Lena & Stewart, David W. & Walker, Beth A. & Wang, Yonggui & Weaven, Scott K., 2020. "Data Privacy in Retail," Journal of Retailing, Elsevier, vol. 96(4), pages 474-489.
  19. Wang, Xin (Shane) & Ryoo, Jun Hyun (Joseph) & Bendle, Neil & Kopalle, Praveen K., 2021. "The role of machine learning analytics and metrics in retailing research," Journal of Retailing, Elsevier, vol. 97(4), pages 658-675.
  20. 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).
  21. van Osselaer, Stijn M.J. & Fuchs, Christoph & Schreier, Martin & Puntoni, Stefano, 2020. "The Power of Personal," Journal of Retailing, Elsevier, vol. 96(1), pages 88-100.
  22. Marilyn Giroux & Jungkeun Kim & Jacob C. Lee & Jongwon Park, 2022. "Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI," Journal of Business Ethics, Springer, vol. 178(4), pages 1027-1041, July.
  23. Sebastian Gabel & Artem Timoshenko, 2022. "Product Choice with Large Assortments: A Scalable Deep-Learning Model," Management Science, INFORMS, vol. 68(3), pages 1808-1827, March.
  24. Gabel, Sebastian & Guhl, Daniel, 2022. "Comparing the effectiveness of rewards and individually targeted coupons in loyalty programs," Journal of Retailing, Elsevier, vol. 98(3), pages 395-411.
  25. Ariyaluran Habeeb, Riyaz Ahamed & Nasaruddin, Fariza & Gani, Abdullah & Targio Hashem, Ibrahim Abaker & Ahmed, Ejaz & Imran, Muhammad, 2019. "Real-time big data processing for anomaly detection: A Survey," International Journal of Information Management, Elsevier, vol. 45(C), pages 289-307.
  26. Micu, Adrian & Capatina, Alexandru & Cristea, Dragos Sebastian & Munteanu, Dan & Micu, Angela-Eliza & Sarpe, Daniela Ancuta, 2022. "Assessing an on-site customer profiling and hyper-personalization system prototype based on a deep learning approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  27. Namin, Aidin & Soysal, Gonca P. & Ratchford, Brian T., 2022. "Alleviating demand uncertainty for seasonal goods: An analysis of attribute-based markdown policy for fashion retailers," Journal of Business Research, Elsevier, vol. 145(C), pages 671-681.
  28. Battisti, Sandro & Agarwal, Nivedita & Brem, Alexander, 2022. "Creating new tech entrepreneurs with digital platforms: Meta-organizations for shared value in data-driven retail ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  29. Emmanuel Sirimal Silva & Hossein Hassani & Dag Øivind Madsen & Liz Gee, 2019. "Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends," Social Sciences, MDPI, vol. 8(4), pages 1-23, April.
  30. Bharadwaj Kadiyala & Özalp Özer & A. Serdar Şimşek, 2021. "Data‐Driven Approaches to Targeting Promotion E‐mails: The Case of Delayed Incentives," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 766-782, March.
  31. Rains, Tim & Longley, Paul, 2021. "The provenance of loyalty card data for urban and retail analytics," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
  32. Pallant, Jason I. & Pallant, Jessica L. & Sands, Sean J. & Ferraro, Carla R. & Afifi, Eslam, 2022. "When and how consumers are willing to exchange data with retailers: An exploratory segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  33. Michael Roe & Konstantina Spanaki & Athina Ioannou & Efpraxia Zamani & Mihalis Giannakis, 2022. "Drivers and challenges of internet of things diffusion in smart stores: A field exploration," Post-Print hal-03599486, HAL.
  34. Andrew Manikas & Michael Godfrey & Ryan Skiver, 2017. "Using Big Data To Predict Consumer Responses To Promotional Discounts As Part Of Sales & Operations Planning," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 10(1), pages 69-78.
  35. Minghong Shi & Chao Zhang & Chun-Liang Chen, 2023. "The Evolution of Corporate Innovation in the O2O Model—Case Studies in the Chinese Jewelry Retail Sector," Sustainability, MDPI, vol. 15(17), pages 1-39, August.
  36. Agrawal, Shiv Ratan & Mittal, Divya, 2022. "Optimizing customer engagement content strategy in retail and E-tail: Available on online product review videos," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
  37. Gautier Daras & Bruno Agard & Bernard Penz, 2019. "Conceptual Framework for SDSS Development with an Application in the Retail Industry," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 357-373, June.
  38. Aljumah, Ahmad Ibrahim & Nuseir, Mohammed T. & Alam, Md. Mahmudul, 2021. "Traditional Marketing Analytics, Big Data Analytics, Big Data System Quality and the Success of New Product Development," OSF Preprints 9auec, Center for Open Science.
  39. Nordin, Fredrik & Ravald, Annika, 2023. "The making of marketing decisions in modern marketing environments," Journal of Business Research, Elsevier, vol. 162(C).
  40. Fadye Saud Al-Fayad, 2020. "The European Union’s GDPR and Its Effect on Data-Driven Marketing Strategies," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 12(1), pages 1-39, March.
  41. Wetter, Erik & Rosengren, Sara & Törn, Fredrik, 2020. "Private Sector Data for Understanding Public Behaviors in Crisis: The Case of COVID-19 in Sweden," SSE Working Paper Series in Business Administration 2020:1, Stockholm School of Economics, revised 14 Apr 2020.
  42. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
  43. Dhruv Grewal & Stephanie M. Noble & Anne L. Roggeveen & Jens Nordfalt, 2020. "The future of in-store technology," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 96-113, January.
  44. Hirche, Martin & Farris, Paul W. & Greenacre, Luke & Quan, Yiran & Wei, Susan, 2021. "Predicting Under- and Overperforming SKUs within the Distribution–Market Share Relationship," Journal of Retailing, Elsevier, vol. 97(4), pages 697-714.
  45. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
  46. 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.
  47. Gupta, Shaphali & Leszkiewicz, Agata & Kumar, V. & Bijmolt, Tammo & Potapov, Dmitriy, 2020. "Digital Analytics: Modeling for Insights and New Methods," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 26-43.
  48. Zahoor, Nadia & Khan, Zaheer & Wu, Jie & Tarba, Shlomo Y. & Donbesuur, Francis & Khan, Huda, 2023. "Vertical alliances and innovation: A systematic review of the literature and a future research agenda," Technovation, Elsevier, vol. 122(C).
  49. Griva, Anastasia, 2022. "“I can get no e-satisfaction†. What analytics say? Evidence using satisfaction data from e-commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
  50. Grewal, Dhruv & Herhausen, Dennis & Ludwig, Stephan & Villarroel Ordenes, Francisco, 2022. "The Future of Digital Communication Research: Considering Dynamics and Multimodality," Journal of Retailing, Elsevier, vol. 98(2), pages 224-240.
  51. Sheehan, Daniel & Hardesty, David M. & Ziegler, Alexander H. & Chen, Haipeng (Allan), 2019. "Consumer reactions to price discounts across online shopping experiences," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 129-138.
  52. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Chan, Hau-Ling & Bryde, David J., 2022. "The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events," International Journal of Production Economics, Elsevier, vol. 251(C).
  53. Roe, Michael & Spanaki, Konstantina & Ioannou, Athina & Zamani, Efpraxia D. & Giannakis, Mihalis, 2022. "Drivers and challenges of internet of things diffusion in smart stores: A field exploration," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
  54. Pizzi, Gabriele & Vannucci, Virginia & Shukla, Yupal & Aiello, Gaetano, 2022. "Privacy concerns and justice perceptions with the disclosure of biometric versus behavioral data for personalized pricing tell me who you are, I’ll tell you how much you pay. Consumers’ fairness and p," Journal of Business Research, Elsevier, vol. 148(C), pages 420-432.
  55. Céline Baud & Cédric Durand, 2021. "Making profits by leading retailers in the digital transition: A comparative analysis of Carrefour, Amazon and Wal-Mart (1996-2019)," CEPN Working Papers hal-03332318, HAL.
  56. Grewal, Dhruv & Roggeveen, Anne L. & Nordfält, Jens, 2017. "The Future of Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 1-6.
  57. Youssef, Mayada Abd El-Aziz & Eid, Riyad & Agag, Gomaa, 2022. "Cross-national differences in big data analytics adoption in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  58. Lehrer, Christiane & Jung, Reinhard, 2019. "Technologiekompetenz für erfolgreiches Omnichannel-Marketing," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 36(1), pages 26-35.
  59. Gupta, Shaphali & Ramachandran, Divya, 2021. "Emerging Market Retail: Transitioning from a Product-Centric to a Customer-Centric Approach," Journal of Retailing, Elsevier, vol. 97(4), pages 597-620.
  60. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro & Gauri, Dinesh K., 2022. "Online and offline retailing: What we know and directions for future research," Journal of Retailing, Elsevier, vol. 98(1), pages 152-177.
  61. Alharthi, Amal & Cortese, Corinne & Moerman, Lee & Tanima, Farzana, 2022. "Surveillance capitalism in the middle east retail sector," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 87(C).
  62. 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.
  63. Marika Parcesepe & Francesca Forgione & Celeste Maria Ciampi & Gerardo Nisco Ciarcia & Valeria Guerriero & Mariaconsiglia Iannotti & Letizia Saviano & Maria Letizia Melisi & Salvatore Rampone, 2023. "Towards the automated evaluation of product packaging in the Food&Beverage sector through data science/machine learning methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2269-2280, June.
  64. Tian, Xin & Cao, Shasha & Song, Yan, 2021. "The impact of weather on consumer behavior and retail performance: Evidence from a convenience store chain in China," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
  65. Sodero, Annibal C. & Namin, Aidin & Gauri, Dinesh K. & Bhaskaran, Sreekumar R., 2021. "The strategic drivers of drop-shipping and retail store sales for seasonal products," Journal of Retailing, Elsevier, vol. 97(4), pages 561-581.
  66. Shivaji Alaparthi & Manit Mishra, 2021. "BERT: a sentiment analysis odyssey," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 118-126, June.
  67. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
  68. Georgia Perakis & Melvyn Sim & Qinshen Tang & Peng Xiong, 2023. "Robust Pricing and Production with Information Partitioning and Adaptation," Management Science, INFORMS, vol. 69(3), pages 1398-1419, March.
  69. Kumar, Anil & Naz, Farheen & Luthra, Sunil & Vashistha, Rajat & Kumar, Vikas & Garza-Reyes, Jose Arturo & Chhabra, Deepak, 2023. "Digging DEEP: Futuristic building blocks of omni-channel healthcare supply chains resiliency using machine learning approach," Journal of Business Research, Elsevier, vol. 162(C).
  70. Lash, Michael T. & Sajeesh, S. & Araz, Ozgur M., 2023. "Predicting mobility using limited data during early stages of a pandemic," Journal of Business Research, Elsevier, vol. 157(C).
  71. Hänninen, Mikko & Mitronen, Lasse & Kwan, Stephen K., 2019. "Multi-sided marketplaces and the transformation of retail: A service systems perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 380-388.
  72. Evgeny A. Antipov & Elena B. Pokryshevskaya, 2020. "Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(5), pages 355-364, October.
  73. Mirzabeiki, Vahid & Saghiri, Soroosh Sam, 2020. "From ambition to action: How to achieve integration in omni-channel?," Journal of Business Research, Elsevier, vol. 110(C), pages 1-11.
  74. 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.
  75. Ionut Anica-Popa & Liana Anica-Popa & Cristina Radulescu & Marinela Vrincianu, 2021. "The Integration of Artificial Intelligence in Retail: Benefits, Challenges and a Dedicated Conceptual Framework," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 120-120, February.
  76. Lewlisa Saha & Hrudaya Kumar Tripathy & Soumya Ranjan Nayak & Akash Kumar Bhoi & Paolo Barsocchi, 2021. "Amalgamation of Customer Relationship Management and Data Analytics in Different Business Sectors—A Systematic Literature Review," Sustainability, MDPI, vol. 13(9), pages 1-35, May.
  77. Monika Matušovičová & Martin Kuchta & Monika Stanková, 2022. "Improvement in Customer Experience Through the Creation of Virtual Brand Communities," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 34(1), pages 79-92.
  78. Andreas Falke & Harald Hruschka, 2022. "Analyzing browsing across websites by machine learning methods," Journal of Business Economics, Springer, vol. 92(5), pages 829-852, July.
  79. Dekimpe, Marnik G., 2020. "Retailing and retailing research in the age of big data analytics," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 3-14.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.