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Research trends in market intelligence: a review through a data-driven quantitative approach

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Abstract

The exponential growth of data-driven decision-making in modern business stimulates the gravity of market intelligence (MI) in both industry and academia. Consequently, the field of MI has been significantly influenced by a substantial body of literature over the past few decades. The study makes a scholarly contribution by carefully analyzing the previous literature and plotting relevant research constituents. Employing a bibliometric lens to 293 articles, we found a notable increase in the number of publications over last few decades. The United Kingdom, followed by the United States, received the most attention as a region in the MI literature; however, the most prolific institution is located in Sweden. Besides, a detailed keyword analysis takes the study to the next level, identifying six key research themes, including ‘strategic decision intelligence,’ ‘marketing and sales,’ ‘entrepreneurial dynamics and emerging markets,’ ‘strategic navigations in dynamic environments,’ ‘holistic product development, research and innovation,’ and ‘information systems and knowledge management,’ and 13 future research questions. The study lends a hand to researchers providing a statistical and visual summary of MI’s scholarly status, future research direction, and marketing analytics practitioners by offering insights on implementing MI in a holistic and efficient marketing decision-support system.

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References

  • Ahmadi, Z., and A. Sundström. 2017. The market intelligence impact on strategic performance in declining markets. International Journal of Applied Business and Economic Research 15 (15): 457–473.

    Google Scholar 

  • Akehurst, G. 2009. User-generated content: The use of blogs for tourism organizations and tourism consumers. Service Business 3 (1): 51–61.

    Article  Google Scholar 

  • Ali, F., E.O. Park, J. Kwon, and B.K. Chae. 2019. 30 Years of contemporary hospitality management: Uncovering the bibliometrics and topical trends. International Journal of Contemporary Hospitality Management 31 (7): 2641–2665.

    Article  Google Scholar 

  • Almossawi, M. 2001. Bank selection criteria employed by college students in Bahrain: An empirical analysis. International Journal of Bank Marketing 19 (3): 115–125.

    Article  Google Scholar 

  • Amado, A., P. Cortez, P. Rita, and S. Moro. 2018. Research trends on big data in marketing: A text mining and topic modeling-based literature analysis. European Research on Management and Business Economics 24 (1): 1–7.

    Article  Google Scholar 

  • Andonians, V. 2023. Harnessing hybrid intelligence: Balancing AI models and human expertise for optimal performance. Datanami. https://www.datanami.com/2023/04/11/harnessing-hybrid-intelligence-balancing-ai-models-and-human-expertise-for-optimal-performance-2/.

  • Appio, F.P., F. Cesaroni, and A. Di Minin. 2014. Visualizing the structure and bridges of the intellectual property management and strategy literature: A document co-citation analysis. Scientometrics 101 (1): 623–661.

    Article  Google Scholar 

  • Atkinson, R.D. 2023. How the IT sector powers the US economy. Information Technology and Innovation Foundation. https://itif.org/publications/2022/09/19/how-the-it-sector-powers-the-us-economy/.

  • Auxier, B. 2021. Social media use in 2021. In Pew Research Center: Internet, science and tech. https://www.pewresearch.org/internet/2021/04/07/social-media-use-in-2021/.

  • Bahoo, S., I. Alon, and A. Paltrinieri. 2020. Sovereign wealth funds: Past, present, and future. International Review of Financial Analysis 67: 101418.

    Article  Google Scholar 

  • Basile, L.J., N. Carbonara, R. Pellegrino, and U. Panniello. 2023. Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making. Technovation 120: 102482.

    Article  Google Scholar 

  • Benckendorff, P., and A. Zehrer. 2013. A network analysis of tourism research. Annals of Tourism Research 43: 121–149.

    Article  Google Scholar 

  • Bousset, J.-P., D. Skuras, J. Těšitel, J.B. Marsat, A. Petrou, E. Fiallo-Pantziou, D. Kušová, and M. Bartoš. 2007. A decision support system for integrated tourism development: Rethinking tourism policies and management strategies. Tourism Geographies 9 (4): 387–404.

    Article  Google Scholar 

  • Broadus, R.N. 1987. Toward a definition of bibliometrics. Scientometrics 12 (5/6): 373–379.

    Article  Google Scholar 

  • Brown, T., A. Park, and L. Pitt. 2020. A 60-year bibliographic review of the Journal of Advertising Research: Perspectives on trends in authorship, influences, and research impact. Journal of Advertising Research 60 (4): 353–360.

    Article  Google Scholar 

  • Calof, J., and S. Wright. 2008. Competitive intelligence. European Journal of Marketing 42 (7/8): 717–730.

    Article  Google Scholar 

  • Cao, G., N. Tian, and C. Blankson. 2021. Big Data, marketing analytics, and firm marketing capabilities. Journal of Computer Information Systems 62 (3): 442–451.

    Article  Google Scholar 

  • Carbonell, P., and A.I. Rodríguez Escudero. 2010. The effect of market orientation on innovation speed and new product performance. Journal of Business and Industrial Marketing 25 (7): 501–513.

    Article  Google Scholar 

  • Carson, G., C. O’Connor, and G. Simmons. 2020. The crucial role of market intelligence in the development of small business marketing capabilities. Journal of Small Business and Enterprise Development 27 (5): 797–816.

    Article  Google Scholar 

  • Chadegani, A.A., H. Salehi, M.M. Yunus, H. Farhadi, M. Fooladi, M. Farhadi, and N.A. Ebrahim. 2013. A comparison between two main academic literature collections: Web of Science and Scopus databases. Asian Social Science 9 (5): 18–26.

    Article  Google Scholar 

  • Cobo, M.J., A.G. Lopez-Herrera, E. Herrera-Viedma, and F. Herrera. 2011. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics 5 (1): 146–166.

    Article  Google Scholar 

  • Conduit, J., and F. Mavondo. 2001. How critical is internal customer orientation to market orientation? Journal of Business Research 51 (1): 11–24.

    Article  Google Scholar 

  • Custodio, M.C., M. Demont, and H. De Steur. 2023. Market Intelligence for Guiding Crop Improvement: A systematic review of stakeholder preference studies in the rice sector in the Global South and beyond. Comprehensive Reviews in Food Science and Food Safety 22 (6): 4404–4432.

    Article  PubMed  Google Scholar 

  • Dabla-Norris, E., K. Tidiane, C. Kaustubh, C. Hua, C. Yadian, S.D. Alessia, K. Yosuke, Q. Fan, and S. Alexandre. 2023. Accelerating innovation and digitalization in Asia to boost productivity (Vol. 1), 1. International Monetary Fund.

  • Dam, N.A., T. Le Dinh, and W. Menvielle. 2019. A systematic literature review of Big Data Adoption in internationalization. Journal of Marketing Analytics 7 (3): 182–195.

    Article  Google Scholar 

  • Day, G.S. 1984. Strategic market planning: The pursuit of competitive advantage. New York: West Publishing Company.

    Google Scholar 

  • Day, G.S. 1994. The capabilities of market-driven organizations. Journal of Marketing 58 (4): 37.

    Article  Google Scholar 

  • Donthu, N., S. Kumar, and D. Pattnaik. 2020a. Forty-five years of Journal of Business Research: A bibliometric analysis. Journal of Business Research 109: 1–14.

    Article  Google Scholar 

  • Donthu, N., W. Reinartz, S. Kumar, and D. Pattnaik. 2020b. A retrospective review of the first 35 years of the International Journal of Research in Marketing. International Journal of Research in Marketing 38 (1): 232–269.

    Article  Google Scholar 

  • Donthu, N., S. Kumar, N. Pandey, and W.M. Lim. 2021. Research constituents, intellectual structure, and collaboration patterns in Journal of International Marketing: An analytical retrospective. Journal of International Marketing 29 (2): 1–25.

    Article  Google Scholar 

  • Efrat, K., S. Gilboa, and M. Yonatany. 2017. When marketing and innovation interact: The case of born-global firms. International Business Review 26 (2): 380–390.

    Article  Google Scholar 

  • El-amine, N.M., and D. Mohammed. 2023. Analysing startups failure factors: Evidence from CB Insights Tech Market Intelligence Platform. Journal of Economic Growth and Entrepreneurship 6 (1): 10–30.

    Google Scholar 

  • Falahat, M., T. Ramayah, P. Soto-Acosta, and Y. Lee. 2020. SMEs internationalization: The role of product innovation, market intelligence, pricing, and marketing communication capabilities as drivers of SMEs’ international performance. Technological Forecasting and Social Change 152: 119908.

    Article  Google Scholar 

  • Ferreira, J.J.M., C.I. Fernandes, and V. Ratten. 2016. A co-citation bibliometric analysis of strategic management research. Scientometrics 109 (1): 1–32.

    Article  Google Scholar 

  • France, S.L., and S. Ghose. 2019. Marketing analytics: Methods, practice, implementation, and links to other fields. Expert Systems with Applications 119: 456–475.

    Article  Google Scholar 

  • Gebhardt, G.F., F.J. Farrelly, and J. Conduit. 2019. Market intelligence dissemination practices. Journal of Marketing 83 (3): 72–90.

    Article  Google Scholar 

  • Ghorbani, Z., S. Kargaran, A. Saberi, M. Haghighinasab, S. Jamali, and N. Ale Ebrahim. 2021. Trends and patterns in digital marketing research: Bibliometric analysis. Journal of Marketing Analytics 10 (5): 1–15.

    Google Scholar 

  • Gilad, B. 1991. Intelligence system: Model for corporate chiefs. Journal of Business Strategy 12 (3): 20–25.

    Article  CAS  PubMed  Google Scholar 

  • Gómez-Prado, R., A. Alvarez-Risco, B.B. Cuya-Velásquez, M. Arias-Meza, N. Campos-Dávalos, L. Juarez-Rojas, M. de Anderson-Seminario, S. Del-Aguila-Arcentales, and J.A. Yáñez. 2023. Correction: Gómez-Prado et al. product innovation, market intelligence and pricing capability as a competitive advantage in the international performance of startups: Case of Peru. Sustainability 2022, 14, 10703. Sustainability 15 (11): 8992.

    Article  Google Scholar 

  • Gray, J.H., and I.L. Densten. 1998. Integrating quantitative and qualitative analysis using latent and manifest variables. Quality and Quantity 32: 419–431.

    Article  Google Scholar 

  • Grunert, K., L. Fruensgaard Jeppesen, K. Risom Jespersen, A. Sonne, K. Hansen, T. Trondsen, and J. Young. 2005. Market orientation of value chains. European Journal of Marketing 39 (5/6): 428–455.

    Article  Google Scholar 

  • Hall, Z.R., R.R. Mullins, N. Syam, and J.P. Boichuk. 2017. Generating and sharing Market Intelligence in sales teams: An economic social network perspective. Journal of Personal Selling and Sales Management 37 (4): 298–312.

    Article  Google Scholar 

  • Haverila, M., and N. Ashill. 2011. Market intelligence and NPD success: A study of technology-intensive companies in Finland. Marketing Intelligence and Planning 29 (5): 556–576.

    Article  Google Scholar 

  • Haverila, M., E. Li, J.C. Twyford, and C. McLaughlin. 2023. The quality of big data marketing analytics (BDMA), user satisfaction, value for money and reinvestment intentions of marketing professionals. Journal of Systems and Information Technology 25 (1): 30–52.

    Article  Google Scholar 

  • Hedin, H., I. Hirvensalo, and M. Vaarnas. 2014a. The Handbook of Market Intelligence: Understand, compete and grow in global. Hoboken: Wiley.

    Google Scholar 

  • Hedin, H., I. Hirvensalo, and M. Vaarnas. 2014b. The handbook of market intelligence: Understand, compete and grow in global markets. Hoboken: Wiley.

    Google Scholar 

  • Helm, R., S. Krinner, and H. Endres. 2020. Exploring the role of product development capability for transforming marketing intelligence into firm performance. Journal of Business-to-Business Marketing 27 (1): 19–40.

    Article  Google Scholar 

  • Hernández-Cruz, X., G. Runger, J.R. Villalobos, and G. Neal. 2022. Layered decision environment for agricultural market intelligence. In Proceedings of the IISE annual conference and expo, 2022, 1–6.

  • Huang, M.H., and R.T. Rust. 2022. A framework for collaborative artificial intelligence in marketing. Journal of Retailing 98 (2): 209–223.

    Article  Google Scholar 

  • Jenster, P.V., and K.S. Søilen. 2009. Market intelligence: Building strategic insight. Copenhagen: Copenhagen Business School Press.

    Google Scholar 

  • Kasaraneni, H., and S. Rosaline. 2022. Automatic merging of Scopus and Web of Science data for simplified and effective bibliometric analysis. Annals of Data Science. https://doi.org/10.1007/s40745-022-00438-0. (Preprint).

    Article  Google Scholar 

  • Katsikea, E., M. Theodosiou, and K. Makri. 2019. The interplay between market intelligence activities and sales strategy as drivers of performance in foreign markets. European Journal of Marketing 53 (10): 2080–2108.

    Article  Google Scholar 

  • Kevork, E.K., and A.P. Vrechopoulos. 2009. CRM literature: Conceptual and functional insights by keyword analysis. Marketing Intelligence and Planning 27 (1): 48–85.

    Article  Google Scholar 

  • Khan, M.A., D. Pattnaik, R. Ashraf, I. Ali, S. Kumar, and N. Donthu. 2021. Value of special issues in the Journal of Business Research: A bibliometric analysis. Journal of Business Research 125: 295–313.

    Article  Google Scholar 

  • Kohli, A.K., and B.J. Jaworski. 1990. Market orientation: The Construct, research propositions, and managerial implications. Journal of Marketing 54 (2): 1.

    Article  Google Scholar 

  • Kohli, A.K., B.J. Jaworski, and A. Kumar. 1993. MARKOR: A measure of market orientation. Journal of Marketing Research 30 (4): 467.

    Article  Google Scholar 

  • Kotler, P. 1988. Marketing management. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Kotler, P., and G. Armstrong. 1997. Principle of marketing. Englewood Cliffs: Prentice-Hall International.

    Google Scholar 

  • Kuester, S., and A. Rauch. 2016. A job demands-resources perspective on salespersons’ market intelligence activities in new product development. Journal of Personal Selling and Sales Management 36 (1): 19–39.

    Article  Google Scholar 

  • Lacka, E., H. Chan, and X. Wang. 2020. Technological advancements and B2B international trade: A bibliometric analysis and review of industrial marketing research. Industrial Marketing Management 88: 1–11.

    Article  Google Scholar 

  • Lackman, C., K. Saban, and J. Lanasa. 2000. The contribution of market intelligence to tactical and strategic business decisions. Marketing Intelligence and Planning 18 (1): 6–9.

    Article  Google Scholar 

  • Lateef, M., and P. Keikhosrokiani. 2022. Predicting critical success factors of business intelligence implementation for improving SMEs’ performances: A case study of Lagos State, Nigeria. Journal of the Knowledge Economy 14 (3): 2081–2106.

    Article  Google Scholar 

  • Lau, R., C. Li, and S. Liao. 2014. Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis. Decision Support Systems 65: 80–94.

    Article  ADS  Google Scholar 

  • Li, Y.M., and T.Y. Li. 2013. Deriving market intelligence from microblogs. Decision Support Systems 55 (1): 206–217.

    Article  Google Scholar 

  • Lim, W.M., and S. Kumar. 2023. Guidelines for interpreting the results of Bibliometric Analysis: A sensemaking approach. Global Business and Organizational Excellence 43 (2): 17–26.

    Article  Google Scholar 

  • MacPherson, A. 2000. The role of international design orientation and market intelligence in the export performance of US machine tool companies. R&D Management 30 (2): 167–176.

    Article  Google Scholar 

  • Maltz, E., and A. Kohli. 1996. Market intelligence dissemination across functional boundaries. Journal of Marketing Research 33 (1): 47.

    Article  Google Scholar 

  • Makadok, R., and J. Barney. 2001. Strategic factor market intelligence: An application of information economics to strategy formulation and competitor intelligence. Management Science 47 (12): 1621–1638.

    Article  Google Scholar 

  • Martínez-López, F., J. Merigó, L. Valenzuela-Fernández, and C. Nicolás. 2018. Fifty years of the European Journal of Marketing: A bibliometric analysis. European Journal of Marketing 52 (1/2): 439–468.

    Article  Google Scholar 

  • Mehdi, S. 2023. Science behind keyword clustering: A game-changer for SEO practitioners. LinkedIn. https://www.linkedin.com/pulse/science-behind-keyword-clustering-game-changer-seo-syed/.

  • Melo, A.J., R.M. Hernández-Maestro, and P.A. Muñoz-Gallego, 2022. Effects of market intelligence generation, online reviews, and management response on the business performance of rural accommodation establishments in France. In Cultural sustainable tourism, 105–119. Cham: Springer.

  • Meunier-FitzHugh, K.L., and N.F. Piercy. 2007. Does collaboration between sales and marketing affect business performance? Journal of Personal Selling and Sales Management 27 (3): 207–220.

    Article  Google Scholar 

  • Mishra, S., D. Kim, and D. Lee. 1996. Factors affecting new product success: Cross-country comparisons. Journal of Product Innovation Management 13 (6): 530–550.

    Article  Google Scholar 

  • Moher, D., A. Liberati, J. Tetzlaff, and D.G. Altman. 2009. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine. https://doi.org/10.1371/journal.pmed.1000097.

    Article  PubMed  PubMed Central  Google Scholar 

  • Morgan, T., and S. Anokhin. 2023. Entrepreneurial orientation and new product performance in SMEs: The mediating role of customer participation. Journal of Business Research 164: 113921.

    Article  Google Scholar 

  • Morgan, N.A., D.W. Vorhies, and C.H. Mason. 2009. Market orientation, marketing capabilities, and firm performance. Strategic Management Journal 30 (8): 909–920.

    Article  Google Scholar 

  • Mostaghel, R., P. Oghazi, P. Patel, V. Parida, and M. Hultman. 2019. Marketing and supply chain coordination and intelligence quality: A product innovation performance perspective. Journal of Business Research 101: 597–606.

    Article  Google Scholar 

  • Naatu, F., and I. Alon. 2019. Social franchising: A bibliometric and theoretical review. Journal of Promotion Management 25 (5): 738–764.

    Article  Google Scholar 

  • Narver, J.C., and S.F. Slater. 1990. The effect of a market orientation on business profitability. Journal of Marketing 54 (4): 20–35.

    Article  Google Scholar 

  • Navarro-García, A., M. Peris-Oritz, and R. Barrera-Barrera. 2016. Market intelligence affects perceived psychic distance, strategic behaviors, and export performance in industrial SMEs. Journal of Business and Industrial Marketing 31 (3): 365–380.

    Article  Google Scholar 

  • Nawaz, M., W.U. Hameed, and M.I. Bhatti. 2023. Integrating business and Market Intelligence to expedite service responsiveness: Evidence from Malaysia. Quality and Quantity. https://doi.org/10.1007/s11135-023-01689-6.

    Article  Google Scholar 

  • Pan, G., G. Qi, W. Zhang, S. Li, Z. Wu, and L. Yang. 2013. Trace analysis and mining for smart cities: Issues, methods, and applications. IEEE Communications Magazine 51 (6): 120–126.

    Article  Google Scholar 

  • Petrescu, M., and A.S. Krishen. 2023. Hybrid intelligence: Human–AI collaboration in marketing analytics. Journal of Marketing Analytics 11: 263–274.

    Article  Google Scholar 

  • Pham, T.S.H., L.L. Monkhouse, and B.R. Barnes. 2017. The influence of relational capability and marketing capabilities on the export performance of emerging market firms. International Marketing Review 34 (5): 606–628.

    Article  Google Scholar 

  • Prantner, K., Y. Ding, M. Luger, and Z. Yan. 2007. Tourism ontology and semantic management system: State-of-the-arts analysis. In Proceedings of IADIS international conference, 2007, 111–115.

  • Qian, J., R. Law, and J. Wei. 2019. Knowledge mapping in travel website studies: A scientometric review. Scandinavian Journal of Hospitality and Tourism 19 (2): 192–209.

    Article  Google Scholar 

  • Rossetto, D.E., R.C. Bernardes, F.M. Borini, and C.C. Gattaz. 2018. Structure and evolution of innovation research in the last 60 years: Review and future trends in the field of business through the citations and co-citations analysis. Scientometrics 115 (3): 1329–1363.

    Article  Google Scholar 

  • Shoemaker, P.J., and S.D. Reese. 1996. Mediating the message: Theories of influences on mass media content. White Plains: Longman.

    Google Scholar 

  • Singh, V., S. Verma, and S.S. Chaurasia. 2020. Mapping the themes and intellectual structure of corporate university: Co-citation and cluster analyses. Scientometrics 122 (3): 1275–1302.

    Article  Google Scholar 

  • Sivarajah, U., M.M. Kamal, Z. Irani, and V. Weerakkody. 2017a. Critical analysis of big data challenges and analytical methods. Journal of Business Research 70: 263–286.

    Article  Google Scholar 

  • Song, M., and Y. Liao. 2019. Information sharing, operations capabilities, market intelligence responsiveness, and firm performance: A moderated mediation model. Baltic Journal of Management 14 (1): 58–78.

    Article  Google Scholar 

  • Song, M., and J. Thieme. 2009. The role of suppliers in market intelligence gathering for radical and incremental innovation. Journal of Product Innovation Management 26 (1): 43–57.

    Article  Google Scholar 

  • Song, M., T. Wang, and M. Parry. 2010. Do market information processes improve new venture performance? Journal of Business Venturing 25 (6): 556–568.

    Article  Google Scholar 

  • Van Eck, N.J., and L. Waltman. 2007. VOS: A new method for visualizing similarities between objects. In Advances in data analysis, 299–306. Cham: Springer.

  • Van Eck, N.J., and L. Waltman. 2009. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84 (2): 523–538.

    PubMed  PubMed Central  Google Scholar 

  • Van Eck, N.J., and L. Waltman. 2013. VOSviewer manual (Vol. 1(1)), 1–53. Leiden: Univeristeit Leiden.

  • Van Eck, N.J., L. Waltman, and J. Van den Berg. 2005. A novel algorithm for visualizing concept associations. In 6th International workshop on database and expert systems applications (DEXA’05), 2005, 405–409. IEEE.

  • Van Eck, N.J., L. Waltman, R. Dekker, and J. Van Den Berg. 2010. A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS. Journal of the American Society for Information Science and Technology 61: 2405–2416.

    Article  Google Scholar 

  • Vătămănescu, E.M., A.G. Andrei, D.L. Dumitriu, and C. Leovaridis. 2016. Harnessing network-based intellectual capital in online academic networks. From the organizational policies and practices towards competitiveness. Journal of Knowledge Management 20 (3): 594–619.

    Article  Google Scholar 

  • Verhees, F., and M. Meulenberg. 2004. Market orientation, innovativeness, product innovation, and performance in small firms. Journal of Small Business Management 42 (2): 134–154.

    Article  Google Scholar 

  • Verma, S., and A. Gustafsson. 2020. Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of Business Research 118: 253–261.

    Article  PubMed  PubMed Central  Google Scholar 

  • Vishnoi, S.K., T. Bagga, A. Sharma, and S. Wani. 2018. Artificial intelligence enabled marketing solutions: A review. Indian Journal of Economics and Business 17 (4): 167–177.

    Google Scholar 

  • Wangsankaew, W., P. Jhundra-Indra, and S. Raksong. 2018. Marketing intelligence strategy and marketing profitability: An empirical investigation of tourism businesses in Thailand. International Journal of Business and Economics 10 (3): 103–122.

    Google Scholar 

  • Wedel, M., and P.K. Kannan. 2016. Marketing analytics for data-rich environments. Journal of Marketing 80 (6): 97–121.

    Article  Google Scholar 

  • Weismayer, C., and I. Pezenka. 2017. Identifying emerging research fields: A longitudinal latent semantic keyword analysis. Scientometrics 113 (3): 1757–1785.

    Article  Google Scholar 

  • White, G.O., O. Guldiken, T.A. Hemphill, W. He, and M.S. Khoobdeh. 2016. Trends in international strategic management research from 2000 to 2013: Text mining and bibliometric analyses. Management International Review 56 (1): 35–65.

    Article  Google Scholar 

  • Williams, R.I., L.A. Clark, W.R. Clark, and D.M. Raffo. 2020. Re-examining systematic literature review in management research: Additional benefits and execution protocols. European Management Journal 39 (4): 521–533.

    Article  Google Scholar 

  • Xiao, Y., and M. Watson. 2017. Guidance on conducting a systematic literature review. Journal of Planning Education and Research 39 (1): 93–112.

    Article  Google Scholar 

  • Yang, J. 2010. The knowledge management strategy and its effect on firm performance: A contingency analysis. International Journal of Production Economics 125 (2): 215–223.

    Article  Google Scholar 

  • Yerpude, S., and S. Rautela. 2023. Customer relationship management—Review of technology impact and use cases. In Digital transformation, strategic resilience, cyber security and risk management: Contemporary studies in economic and financial analysis, vol. 111(C), ed. K. Sood, B. Balusamy, and S. Grima, 87–99. Bingley: Emerald Publishing Limited.

    Chapter  Google Scholar 

  • Zablah, A., D. Bellenger, and W. Johnston. 2004. An evaluation of divergent perspectives on customer relationship management: Towards a common understanding of an emerging phenomenon. Industrial Marketing Management 33 (6): 475–489.

    Article  Google Scholar 

  • Zhang, D., J. Xu, Y. Zhang, J. Wang, S. He, and X. Zhou. 2020. Study on sustainable urbanization literature based on Web of Science, Scopus, and China national knowledge infrastructure: A scientometric analysis in CiteSpace. Journal of Cleaner Production 264: 121537.

    Article  Google Scholar 

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Soykoth, M.W., Sim, W. & Frederick, S. Research trends in market intelligence: a review through a data-driven quantitative approach. J Market Anal (2024). https://doi.org/10.1057/s41270-023-00285-9

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