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Mine Your Own Business: Market-Structure Surveillance Through Text Mining

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Cited by:

  1. Peters, Kay & Chen, Yubo & Kaplan, Andreas M. & Ognibeni, Björn & Pauwels, Koen, 2013. "Social Media Metrics — A Framework and Guidelines for Managing Social Media," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 281-298.
  2. Xu, Xun & Wang, Xuequn & Li, Yibai & Haghighi, Mohammad, 2017. "Business intelligence in online customer textual reviews: Understanding consumer perceptions and influential factors," International Journal of Information Management, Elsevier, vol. 37(6), pages 673-683.
  3. Gal-Tzur, Ayelet & Grant-Muller, Susan M. & Kuflik, Tsvi & Minkov, Einat & Nocera, Silvio & Shoor, Itay, 2014. "The potential of social media in delivering transport policy goals," Transport Policy, Elsevier, vol. 32(C), pages 115-123.
  4. Yu Ding & Wayne S. DeSarbo & Dominique M. Hanssens & Kamel Jedidi & John G. Lynch & Donald R. Lehmann, 2020. "The past, present, and future of measurement and methods in marketing analysis," Marketing Letters, Springer, vol. 31(2), pages 175-186, September.
  5. Schwenzow, Jasper & Hartmann, Jochen & Schikowsky, Amos & Heitmann, Mark, 2021. "Understanding videos at scale: How to extract insights for business research," Journal of Business Research, Elsevier, vol. 123(C), pages 367-379.
  6. Liu, Angela Xia & Xie, Ying & Zhang, Jurui, 2019. "It's Not Just What You Say, But How You Say It: The Effect of Language Style Matching on Perceived Quality of Consumer Reviews," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 70-86.
  7. Liu, Xia & Shin, Hyunju & Burns, Alvin C., 2021. "Examining the impact of luxury brand's social media marketing on customer engagement​: Using big data analytics and natural language processing," Journal of Business Research, Elsevier, vol. 125(C), pages 815-826.
  8. Sheng, Jie & Lan, Hao, 2019. "Business failure and mass media: An analysis of media exposure in the context of delisting event," Journal of Business Research, Elsevier, vol. 97(C), pages 316-323.
  9. Hui Li & Jian Ni & Fangzhu Yang, 2024. "Product Design Using Generative Adversarial Network: Incorporating Consumer Preference and External Data," Papers 2405.15929, arXiv.org, revised Jun 2024.
  10. de Haan, Evert & Padigar, Manjunath & El Kihal, Siham & Kübler, Raoul & Wieringa, Jaap E., 2024. "Unstructured data research in business: Toward a structured approach," Journal of Business Research, Elsevier, vol. 177(C).
  11. Laura Toschi & Elisa Ughetto & Andrea Fronzetti Colladon, 2023. "The identity of social impact venture capitalists: exploring social linguistic positioning and linguistic distinctiveness through text mining," Small Business Economics, Springer, vol. 60(3), pages 1249-1280, March.
  12. Hui Zhang & Huguang Rao & Junzheng Feng, 2018. "Product innovation based on online review data mining: a case study of Huawei phones," Electronic Commerce Research, Springer, vol. 18(1), pages 3-22, March.
  13. Oliver Schaer & Nikolaos Kourentzes & Robert Fildes, 2022. "Predictive competitive intelligence with prerelease online search traffic," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3823-3839, October.
  14. Xin (Shane) Wang & Feng Mai & Roger H. L. Chiang, 2014. "Database Submission ---Market Dynamics and User-Generated Content About Tablet Computers," Marketing Science, INFORMS, vol. 33(3), pages 449-458, May.
  15. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
  16. Hyowon Kim & Greg M. Allenby, 2022. "Integrating Textual Information into Models of Choice and Scaled Response Data," Marketing Science, INFORMS, vol. 41(4), pages 815-830, July.
  17. Aron Culotta & Jennifer Cutler, 2016. "Mining Brand Perceptions from Twitter Social Networks," Marketing Science, INFORMS, vol. 35(3), pages 343-362, May.
  18. Zhou, Meihua & Angelopoulos, Spyros & Ou, Carol & Liu, Hongwei & Liang, Zhouyang, 2023. "Optimization of dynamic product offerings on online marketplaces: A network theory perspective," Other publications TiSEM 75d71155-88bf-4ff7-aba1-9, Tilburg University, School of Economics and Management.
  19. Seungkook Roh & Jae Young Choi, 2020. "Exploring Signals for a Nuclear Future Using Social Big Data," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
  20. He, Jiaxiu & Li, Bingqing & Wang, Xin (Shane), 2023. "Image features and demand in the sharing economy: A study of Airbnb," International Journal of Research in Marketing, Elsevier, vol. 40(4), pages 760-780.
  21. Peiyao Li & Noah Castelo & Zsolt Katona & Miklos Sarvary, 2024. "Frontiers: Determining the Validity of Large Language Models for Automated Perceptual Analysis," Marketing Science, INFORMS, vol. 43(2), pages 254-266, March.
  22. Daniel M. Ringel & Bernd Skiera, 2016. "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data," Marketing Science, INFORMS, vol. 35(3), pages 511-534, May.
  23. Hartmann, Jochen & Huppertz, Juliana & Schamp, Christina & Heitmann, Mark, 2019. "Comparing automated text classification methods," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 20-38.
  24. Zelin Zhang & Kejia Yang & Jonathan Z. Zhang & Robert W. Palmatier, 2023. "Uncovering Synergy and Dysergy in Consumer Reviews: A Machine Learning Approach," Management Science, INFORMS, vol. 69(4), pages 2339-2360, April.
  25. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
  26. Yang Qian & Yuanchun Jiang & Yanan Du & Jianshan Sun & Yezheng Liu, 2020. "Segmenting market structure from multi-channel clickstream data: a novel generative model," Electronic Commerce Research, Springer, vol. 20(3), pages 509-533, September.
  27. Tingting Zhao & Jie Lin & Zhenyu Zhang, 2022. "Case-Based Reasoning and Attribute Features Mining for Posting-Popularity Prediction: A Case Study in the Online Automobile Community," Mathematics, MDPI, vol. 10(16), pages 1-28, August.
  28. Pamuksuz, Utku & Yun, Joseph T. & Humphreys, Ashlee, 2021. "A Brand-New Look at You: Predicting Brand Personality in Social Media Networks with Machine Learning," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 55-69.
  29. Saridakis, Charalampos & Katsikeas, Constantine S. & Angelidou, Sofia & Oikonomidou, Maria & Pratikakis, Polyvios, 2023. "Mining Twitter lists to extract brand-related associative information for celebrity endorsement," European Journal of Operational Research, Elsevier, vol. 311(1), pages 316-332.
  30. Ghaddar, Bissan & Naoum-Sawaya, Joe, 2018. "High dimensional data classification and feature selection using support vector machines," European Journal of Operational Research, Elsevier, vol. 265(3), pages 993-1004.
  31. Maximilian Matthe & Daniel M. Ringel & Bernd Skiera, 2023. "Mapping Market Structure Evolution," Marketing Science, INFORMS, vol. 42(3), pages 589-613, May.
  32. Jorge Mejia & Shawn Mankad & Anandasivam Gopal, 2019. "A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections," Information Systems Research, INFORMS, vol. 30(4), pages 1363-1386, December.
  33. Ning Zhong & David A. Schweidel, 2020. "Capturing Changes in Social Media Content: A Multiple Latent Changepoint Topic Model," Marketing Science, INFORMS, vol. 39(4), pages 827-846, July.
  34. Paramveer S. Dhillon & Sinan Aral, 2021. "Modeling Dynamic User Interests: A Neural Matrix Factorization Approach," Marketing Science, INFORMS, vol. 40(6), pages 1059-1080, November.
  35. Gensler, Sonja & Völckner, Franziska & Liu-Thompkins, Yuping & Wiertz, Caroline, 2013. "Managing Brands in the Social Media Environment," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 242-256.
  36. Xiao Liu & Param Vir Singh & Kannan Srinivasan, 2016. "A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing," Marketing Science, INFORMS, vol. 35(3), pages 363-388, May.
  37. Holmlund, Maria & Van Vaerenbergh, Yves & Ciuchita, Robert & Ravald, Annika & Sarantopoulos, Panagiotis & Ordenes, Francisco Villarroel & Zaki, Mohamed, 2020. "Customer experience management in the age of big data analytics: A strategic framework," Journal of Business Research, Elsevier, vol. 116(C), pages 356-365.
  38. Lugosi, Peter, 2016. "Socio-technological authentication," Annals of Tourism Research, Elsevier, vol. 58(C), pages 100-113.
  39. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2019. "Modeling Consumer Footprints on Search Engines: An Interplay with Social Media," Management Science, INFORMS, vol. 65(3), pages 1363-1385, March.
  40. Karen Ruckman & Nilesh Saraf & Vallabh Sambamurthy, 2015. "Market Positioning by IT Service Vendors Through Imitation," Information Systems Research, INFORMS, vol. 26(1), pages 100-126, March.
  41. Ye Hu & Ming Chen & Sam Hui, 2023. "Sentiment deviations in responses to movie trailers across social media platforms," Marketing Letters, Springer, vol. 34(3), pages 463-481, September.
  42. Kim, Namil & Lee, Hyeokseong & Kim, Wonjoon & Lee, Hyunjong & Suh, Jong Hwan, 2015. "Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data," Research Policy, Elsevier, vol. 44(9), pages 1734-1748.
  43. Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019. "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers 2176R, Cowles Foundation for Research in Economics, Yale University, revised Sep 2020.
  44. Adam N. Smith & Jim E. Griffin, 2023. "Shrinkage priors for high-dimensional demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 95-146, March.
  45. Stourm, Valeria & Bradlow, Eric T., 2023. "Cross-reward effects in a coalition loyalty program: The impact of a point currency devaluation," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 276-293.
  46. Liu, Yezheng & Qian, Yang & Jiang, Yuanchun & Shang, Jennifer, 2020. "Using favorite data to analyze asymmetric competition: Machine learning models," European Journal of Operational Research, Elsevier, vol. 287(2), pages 600-615.
  47. Libai, Barak & Bart, Yakov & Gensler, Sonja & Hofacker, Charles F. & Kaplan, Andreas & Kötterheinrich, Kim & Kroll, Eike Benjamin, 2020. "Brave New World? On AI and the Management of Customer Relationships," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 44-56.
  48. Marc R. Dotson & Joachim Büschken & Greg M. Allenby, 2020. "Explaining Preference Heterogeneity with Mixed Membership Modeling," Marketing Science, INFORMS, vol. 39(2), pages 407-426, March.
  49. 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.
  50. Jiyeon Hong & Paul R. Hoban, 2022. "Writing More Compelling Creative Appeals: A Deep Learning-Based Approach," Marketing Science, INFORMS, vol. 41(5), pages 941-965, September.
  51. Hasmat Malik & Asyraf Afthanorhan & Noor Aina Amirah & Nuzhat Fatema, 2021. "Machine Learning Approach for Targeting and Recommending a Product for Project Management," Mathematics, MDPI, vol. 9(16), pages 1-29, August.
  52. Mengxia Zhang & Lan Luo, 2023. "Can Consumer-Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp," Management Science, INFORMS, vol. 69(1), pages 25-50, January.
  53. Aaron W. Baur, 2017. "Harnessing the social web to enhance insights into people’s opinions in business, government and public administration," Information Systems Frontiers, Springer, vol. 19(2), pages 231-251, April.
  54. Dhrithi Mahadevan & G. Shainesh, 2024. "Conceptualizing customer experience in multi-actor platforms," AMS Review, Springer;Academy of Marketing Science, vol. 14(1), pages 83-103, June.
  55. Klostermann, Jan & Plumeyer, Anja & Böger, Daniel & Decker, Reinhold, 2018. "Extracting brand information from social networks: Integrating image, text, and social tagging data," International Journal of Research in Marketing, Elsevier, vol. 35(4), pages 538-556.
  56. Katsumata, Sotaro & Nishimoto, Akihiro & Kannan, P.K., 2023. "Brand competitiveness and resilience to exogenous shock: Usage of smartphone apps during the COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
  57. Dinesh Puranam & Vishal Narayan & Vrinda Kadiyali, 2017. "The Effect of Calorie Posting Regulation on Consumer Opinion: A Flexible Latent Dirichlet Allocation Model with Informative Priors," Marketing Science, INFORMS, vol. 36(5), pages 726-746, September.
  58. Soumya Mukhopadhyay, 2018. "Opinion mining in management research: the state of the art and the way forward," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 221-250, June.
  59. Ali Goli & Anja Lambrecht & Hema Yoganarasimhan, 2024. "A Bias Correction Approach for Interference in Ranking Experiments," Marketing Science, INFORMS, vol. 43(3), pages 590-614, May.
  60. Mahavarpour, Nasrin & Marvi, Reza & Foroudi, Pantea, 2023. "A Brief History of Service Innovation: The evolution of past, present, and future of service innovation," Journal of Business Research, Elsevier, vol. 160(C).
  61. 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.
  62. Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019. "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers 2176R2, Cowles Foundation for Research in Economics, Yale University, revised Jun 2021.
  63. Silvia Ranfagni & Matilde Milanesi & Simone Guercini, 2023. "An online research approach for a dual perspective analysis of brand associations in art museums," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 20(1), pages 149-167, March.
  64. Roland T. Rust & Ming-Hui Huang, 2014. "The Service Revolution and the Transformation of Marketing Science," Marketing Science, INFORMS, vol. 33(2), pages 206-221, March.
  65. William Rand & Roland T. Rust & Min Kim, 2018. "Complex systems: marketing’s new frontier," AMS Review, Springer;Academy of Marketing Science, vol. 8(3), pages 111-127, December.
  66. Anja Plumeyer & Pascal Kottemann & Daniel Böger & Reinhold Decker, 2019. "Measuring brand image: a systematic review, practical guidance, and future research directions," Review of Managerial Science, Springer, vol. 13(2), pages 227-265, April.
  67. Zhang, Yuchi & Moe, Wendy W. & Schweidel, David A., 2017. "Modeling the role of message content and influencers in social media rebroadcasting," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 100-119.
  68. Sun, Xiaochi & Cui, Xuebin & Sun, Yacheng, 2023. "Understanding the sequential interdependence of mobile app adoption within and across categories," International Journal of Research in Marketing, Elsevier, vol. 40(3), pages 659-678.
  69. Matthew Krawczyk & Zheng Xiang, 2016. "Perceptual mapping of hotel brands using online reviews: a text analytics approach," Information Technology & Tourism, Springer, vol. 16(1), pages 23-43, March.
  70. Liu Liu & Daria Dzyabura & Natalie Mizik, 2020. "Visual Listening In: Extracting Brand Image Portrayed on Social Media," Marketing Science, INFORMS, vol. 39(4), pages 669-686, July.
  71. Xuan Gong & Yunchan Zhu & Rizwan Ali & Ruijin Guo, 2019. "Capturing Associations and Sustainable Competitiveness of Brands from Social Tags," Sustainability, MDPI, vol. 11(6), pages 1-20, March.
  72. Artem Timoshenko & John R. Hauser, 2019. "Identifying Customer Needs from User-Generated Content," Marketing Science, INFORMS, vol. 38(1), pages 1-20, January.
  73. Younghoon Lee & Sungzoon Cho & Jinhae Choi, 2021. "Determining user needs through abnormality detection and heterogeneous embedding of usage sequence," Electronic Commerce Research, Springer, vol. 21(2), pages 245-261, June.
  74. Roelen-Blasberg, Tobias & Habel, Johannes & Klarmann, Martin, 2023. "Automated inference of product attributes and their importance from user-generated content: Can we replace traditional market research?," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 164-188.
  75. Hema Yoganarasimhan, 2020. "Search Personalization Using Machine Learning," Management Science, INFORMS, vol. 66(3), pages 1045-1070, March.
  76. Kun Chen & Peng Luo & Huaiqing Wang, 2017. "Investigating transitive influences on WOM: from the product network perspective," Electronic Commerce Research, Springer, vol. 17(1), pages 149-167, March.
  77. Jifeng Mu & Jonathan Z. Zhang, 2021. "Seller marketing capability, brand reputation, and consumer journeys on e-commerce platforms," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 994-1020, September.
  78. Todd Pezzuti & James M. Leonhardt, 2023. "What’s not to like? Negations in brand messages increase consumer engagement," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 675-694, May.
  79. Schneider, Matthew J. & Gupta, Sachin, 2016. "Forecasting sales of new and existing products using consumer reviews: A random projections approach," International Journal of Forecasting, Elsevier, vol. 32(2), pages 243-256.
  80. Ola G. El‐Taliawi & Nihit Goyal & Michael Howlett, 2021. "Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching," Review of Policy Research, Policy Studies Organization, vol. 38(6), pages 640-660, November.
  81. Shu-Heng Chen & Ragupathy Venkatachalam, 2017. "Information aggregation and computational intelligence," Evolutionary and Institutional Economics Review, Springer, vol. 14(1), pages 231-252, June.
  82. Quariguasi Frota Neto, João & Dutordoir, Marie, 2020. "Mapping the market for remanufacturing: An application of “Big Data” analytics," International Journal of Production Economics, Elsevier, vol. 230(C).
  83. Ling Peng & Geng Cui & Yuho Chung & Chunyu Li, 2019. "A multi-facet item response theory approach to improve customer satisfaction using online product ratings," Journal of the Academy of Marketing Science, Springer, vol. 47(5), pages 960-976, September.
  84. Damangir, Sina & Du, Rex Yuxing & Hu, Ye, 2018. "Uncovering Patterns of Product Co-consideration: A Case Study of Online Vehicle Price Quote Request Data," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 1-17.
  85. Moon, Sangkil & Kamakura, Wagner A., 2017. "A picture is worth a thousand words: Translating product reviews into a product positioning map," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 265-285.
  86. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
  87. Moon, Sangkil & Kim, Moon-Yong & Bergey, Paul K., 2019. "Estimating deception in consumer reviews based on extreme terms: Comparison analysis of open vs. closed hotel reservation platforms," Journal of Business Research, Elsevier, vol. 102(C), pages 83-96.
  88. Alvin Chung Man Leung & Ashish Agarwal & Prabhudev Konana & Alok Kumar, 2017. "Network Analysis of Search Dynamics: The Case of Stock Habitats," Management Science, INFORMS, vol. 63(8), pages 2667-2687, August.
  89. Tobias Reckmann, 2017. "Verwendung von Word of Mouth-Daten zur Identifikation von Asymmetrie im Wettbewerb: Eine textbasierte Analyse am Beispiel deutscher Automobilmarken [Identification of asymmetric competition by usin," Schmalenbach Journal of Business Research, Springer, vol. 69(2), pages 173-201, June.
  90. Heidary Dahooie, Jalil & Raafat, Romina & Qorbani, Ali Reza & Daim, Tugrul, 2021. "An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  91. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
  92. Elliot Shin Oblander & Sunil Gupta & Carl F. Mela & Russell S. Winer & Donald R. Lehmann, 2020. "The past, present, and future of customer management," Marketing Letters, Springer, vol. 31(2), pages 125-136, September.
  93. Dokyun Lee & Kartik Hosanagar & Harikesh S. Nair, 2018. "Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook," Management Science, INFORMS, vol. 64(11), pages 5105-5131, November.
  94. Dinesh Puranam & Vrinda Kadiyali & Vishal Narayan, 2021. "The Impact of Increase in Minimum Wages on Consumer Perceptions of Service: A Transformer Model of Online Restaurant Reviews," Marketing Science, INFORMS, vol. 40(5), pages 985-1004, September.
  95. Uttara Ananthakrishnan & Davide Proserpio & Siddhartha Sharma, 2023. "I Hear You: Does Quality Improve with Customer Voice?," Marketing Science, INFORMS, vol. 42(6), pages 1143-1161, November.
  96. Supriyo Mandal & Abyayananda Maiti, 2022. "Network promoter score (NePS): An indicator of product sales in E-commerce retailing sector," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1327-1349, September.
  97. Jaeger, Lena-Christin & Höhler, Julia, 2021. "Using word of mouth data from social media to identify asymmetric competition in food retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
  98. Gaurav Sabnis & Rajdeep Grewal, 2015. "Cable News Wars on the Internet: Competition and User-Generated Content," Information Systems Research, INFORMS, vol. 26(2), pages 301-319, June.
  99. Carlson, Keith & Kopalle, Praveen K. & Riddell, Allen & Rockmore, Daniel & Vana, Prasad, 2023. "Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 54-74.
  100. Jaeger, Lena-Christin & Höhler Julia, 2020. "Using Word of Mouth Data from Social Media to Identify Asymmetric Competition in Food Retailing," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305609, German Association of Agricultural Economists (GEWISOLA).
  101. Torsten J. Gerpott & Jan Berends, 2022. "Competitive pricing on online markets: a literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 596-622, December.
  102. Calomiris, Charles W. & Mamaysky, Harry, 2019. "How news and its context drive risk and returns around the world," Journal of Financial Economics, Elsevier, vol. 133(2), pages 299-336.
  103. Jia Liu & Olivier Toubia & Shawndra Hill, 2021. "Content-Based Model of Web Search Behavior: An Application to TV Show Search," Management Science, INFORMS, vol. 67(10), pages 6378-6398, October.
  104. Daniel Blaseg & Christian Schulze & Bernd Skiera, 2020. "Consumer Protection on Kickstarter," Marketing Science, INFORMS, vol. 39(1), pages 211-233, January.
  105. Colmekcioglu, Nazan & Marvi, Reza & Foroudi, Pantea & Okumus, Fevzi, 2022. "Generation, susceptibility, and response regarding negativity: An in-depth analysis on negative online reviews," Journal of Business Research, Elsevier, vol. 153(C), pages 235-250.
  106. Sheth, Jagdish & Kellstadt, Charles H., 2021. "Next frontiers of research in data driven marketing: Will techniques keep up with data tsunami?," Journal of Business Research, Elsevier, vol. 125(C), pages 780-784.
  107. Reo Song & Sangkil Moon & Haipeng (Allan) Chen & Mark B. Houston, 2018. "When marketing strategy meets culture: the role of culture in product evaluations," Journal of the Academy of Marketing Science, Springer, vol. 46(3), pages 384-402, May.
  108. Aaron W. Baur, 0. "Harnessing the social web to enhance insights into people’s opinions in business, government and public administration," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
  109. Ma, Liye & Sun, Baohong, 2020. "Machine learning and AI in marketing – Connecting computing power to human insights," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 481-504.
  110. Venkatesh Shankar & Sohil Parsana, 2022. "An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1324-1350, November.
  111. Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019. "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers 2176, Cowles Foundation for Research in Economics, Yale University.
  112. Mustak, Mekhail & Salminen, Joni & Plé, Loïc & Wirtz, Jochen, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 389-404.
  113. 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.
  114. Bitty Balducci & Detelina Marinova, 2018. "Unstructured data in marketing," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 557-590, July.
  115. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
  116. Eri Kato & Yuki Yano & Yasuo Ohe, 2019. "Investigating Gaps in Perception of Wildlife between Urban and Rural Inhabitants: Empirical Evidence from Japan," Sustainability, MDPI, vol. 11(17), pages 1-13, August.
  117. Alzate, Miriam & Arce-Urriza, Marta & Cebollada, Javier, 2022. "Mining the text of online consumer reviews to analyze brand image and brand positioning," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
  118. Kun Chen & Xin Li & Peng Luo & J. Leon Zhao, 2021. "News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value," Information Systems Research, INFORMS, vol. 32(2), pages 356-377, June.
  119. Zecong Ma & Sergio Palacios, 2021. "Image-mining: exploring the impact of video content on the success of crowdfunding," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(4), pages 265-285, December.
  120. Ganotakis, Panagiotis & Angelidou, Sofia & Saridakis, Charalampos & Piperopoulos, Panagiotis & Dindial, Miguel, 2023. "Innovation, digital technologies, and sales growth during exogenous shocks," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  121. Ranfagni, Silvia & Crawford Camiciottoli, Belinda & Faraoni, Monica, 2016. "How to Measure Alignment in Perceptions of Brand Personality Within Online Communities: Interdisciplinary Insights," Journal of Interactive Marketing, Elsevier, vol. 35(C), pages 70-85.
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