CREATING MARKETING KNOWLEDGE ABOUT THE CONSUMER IN THE CONTEXT OF THE DEVELOPMENT OF INTERNET TOOLS
Krystyna MAZUREK-ŁOPACIŃSKA
krystyna.mazurek-lopacinska@ue.wroc.plWrocław University of Economics, Department of Marketing Research, Faculty of Economic Sciences, Komandorska 118/120, 53-345 Wrocław (Poland)
Magdalena SOBOCIŃSKA
Wrocław University of Economics, Department of Marketing Research, Faculty of Economic Sciences, Komandorska 118/120, 53-345 Wrocław (Poland)
Abstract
The aim of the article is to present marketing knowledge about the consumer as an enterprise resource and the role of marketing research in expanding it in the context of progressive virtualization of social life and the development of Internet tools. The current article was written on the basis of an in-depth literature study and an analysis of the selected results of quantitative research conducted in 2013 on a sample of 152 enterprises.
Keywords:
knowledge, marketing research, the Internet, artificial intelligenceReferences
Amit, R., & Schoemaker, P. J. H. (1997). The Competitive Dynamics of Capabilities: Developing Strategic Assets for Multiple Feature. In G. S. Day, D. J. Reibstein, & R. E. Gunther (Eds.), Wharton on Dynamic Competitive Strategy (pp. 368-394). New York: John Wiley & Sons.
Google Scholar
Dalkir, K. (2005). Knowledge management in theory and practice. Oxford: Elsevier.
Google Scholar
Eppler, M. J., & Burkhard, R. A. (2007). Visual representations in knowledge management: framework and cases. Journal of Knowledge Management, 11(4), 112–122. https://doi.org/10.1108/13673270710762756
DOI: https://doi.org/10.1108/13673270710762756
Google Scholar
Flick, U. (2011). Jakość w badaniach jakościowych. Warszawa: Wydawnictwo Naukowe PWN.
Google Scholar
Garvin, D. A. (1993). Building a learning organization. Harvard Business Review, 7–8, 78–91.
Google Scholar
Golińska-Pieszyńska, M. (2009). Polityka wiedzy a współczesne procesy innowacyjne. Warszawa: Wydawnictwo Naukowe Scholar.
Google Scholar
Kapera, K. (2014). Technologie informacyjno-komunikacyjne w działalności marketingowej przedsiębiorstw. In R. Niestrój & P. Hadrian (Eds.), Marketing polskich przedsiębiorstw w 25-leciu gospodarki rynkowej (pp. 187–198). Kraków: Fundacja Uniwersytetu Ekonomicznego w Krakowie.
Google Scholar
Mikuła, M., Pietruszka-Ortyl, A., & Potocki, A. (2002). Zarządzanie przedsiębiorstwem XXI wieku. Wybrane koncepcje i metody. Warszawa: Wydawnictwo Difin.
Google Scholar
Morawski, M. (2006). Zarządzanie wiedzą. Organizacja – system – pracownik. Wrocław: Wydawnictwo Akademii Ekonomicznej we Wrocławiu.
Google Scholar
Pliszka, S. (2017). Pomiar widowni online. Internet 2016/2017. Raport strategiczny (pp. 74–75). IAB Polska.
Google Scholar
Probst, G., Raub, S., & Romhardt, K. (2002). Zarządzanie wiedzą w organizacji. Kraków: Oficyna Ekonomiczna.
Google Scholar
Rowecka, K., & Wojtasik, M. (2016). Marketer i magia liczb – czyli machine learning od podstaw. Marketer +, 3(22), 48–51.
Google Scholar
Sawhney, M., & Prandelli, E. (2000). Communities of Creation Managing Distributed Innovation in Turbulent Markets. California Management Review, 4, 24–54.
DOI: https://doi.org/10.2307/41166052
Google Scholar
Schrage, M. (2017). Wykorzystaj algorytmy do podejmowania decyzji. Harvard Business Review Polska, 172, 100–105.
Google Scholar
Smith, T. (2009). The Social Media Revolution. International Journal of Market Research, 51(4), 559–561. https://doi.org/10.2501/S1470785309200773
DOI: https://doi.org/10.2501/S1470785309200773
Google Scholar
Trajer, J., Paszek, A., & Iwan, S. (2012). Zarządzanie wiedzą. Warszawa: PWE.
Google Scholar
Chui, M., Manyika, J., & Miremadi, M. (2017, June 21). Four fundamentals of workplace automation. McKinsey & Company. Retrieved from http://www.mckinsey.com/businessfunctions/digital-mckinsey/our-insights/four-fundamentals-of-workplace-automation
Google Scholar
Cooke, M., & Buckley, N. (2008). Web 2.0, Social Networks and the Future of Market Research. International Journal of Market Research, 50(2), 274–277.
DOI: https://doi.org/10.1177/147078530805000208
Google Scholar
Mróz, B., & Feldy, M. (2010). Wykorzystanie serwisów Web 2.0 w badaniach marketingowych: możliwości i ograniczenia. In: K. Mazurek-Łopacińska (Ed.), Badania marketingowe – nowe wyzwania (96, pp. 234–241). Wrocław: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu.
Google Scholar
Paharia, R. (2014). Lojalność 3.0. Warszawa: MT Biznes.
Google Scholar
Bulska, D. (2015). Era wielkich danych. Brief, 9, 24–27.
Google Scholar
Authors
Krystyna MAZUREK-ŁOPACIŃSKAkrystyna.mazurek-lopacinska@ue.wroc.pl
Wrocław University of Economics, Department of Marketing Research, Faculty of Economic Sciences, Komandorska 118/120, 53-345 Wrocław Poland
Authors
Magdalena SOBOCIŃSKAWrocław University of Economics, Department of Marketing Research, Faculty of Economic Sciences, Komandorska 118/120, 53-345 Wrocław Poland
Statistics
Abstract views: 74PDF downloads: 8
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.
Similar Articles
- Hawkar ASAAD, Shavan ASKAR, Ahmed KAKAMIN, Nayla FAIQ, EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMANROBOT COOPERATION IN THE CONTEXT OF INDUSTRY 4.0 , Applied Computer Science: Vol. 20 No. 2 (2024)
- Małgorzata ŚLIWA, Ewelina KOSICKA, A MODEL OF KNOWLEDGE ACQUISITION IN THE MAINTENANCE DEPARTMENT OF A PRODUCTION COMPANY , Applied Computer Science: Vol. 13 No. 3 (2017)
- Loubna BOUHSAIEN, Abdellah AZMANI, THE POTENTIAL OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT , Applied Computer Science: Vol. 20 No. 3 (2024)
- Dilek AYDOGAN-KILIC, Deniz Kenan KILIC, Izabela Ewa NIELSEN, EXAMINATION OF SUMMARIZED MEDICAL RECORDS FOR ICD CODE CLASSIFICATION VIA BERT , Applied Computer Science: Vol. 20 No. 2 (2024)
- Mahmoud BAKR, Sayed ABDEL-GABER, Mona NASR, Maryam HAZMAN, TOMATO DISEASE DETECTION MODEL BASED ON DENSENET AND TRANSFER LEARNING , Applied Computer Science: Vol. 18 No. 2 (2022)
- Siti ROHAJAWATI, Hutanti SETYODEWI, Ferryansyah Muji Agustian TRESNANTO, Debora MARIANTHI, Maruli Tua Baja SIHOTANG , KNOWLEDGE MANAGEMENT APPROACH IN COMPARATIVE STUDY OF AIR POLLUTION PREDICTION MODEL , Applied Computer Science: Vol. 20 No. 1 (2024)
- Workineh TESEMA, INEFFICIENCY OF DATA MINING ALGORITHMS AND ITS ARCHITECTURE: WITH EMPHASIS TO THE SHORTCOMING OF DATA MINING ALGORITHMS ON THE OUTPUT OF THE RESEARCHES , Applied Computer Science: Vol. 15 No. 3 (2019)
- Fernando Andrés CEVALLOS SALAS, DIGITAL NEWS CLASSIFICATION AND PUNCTUACTION USING MACHINE LEARNING AND TEXT MINING TECHNIQUES , Applied Computer Science: Vol. 20 No. 2 (2024)
- Mohammed Chachan YOUNIS, PREDICTION OF PATIENT’S WILLINGNESS FOR TREATMENT OF MENTAL ILLNESS USING MACHINE LEARNING APPROACHES , Applied Computer Science: Vol. 20 No. 2 (2024)
- Daniel HALIKOWSKI, Justyna PATALAS-MALISZEWSKA, Małgorzata SKRZESZEWSKA, A MODEL FOR ASSESSING THE LEVEL OF AUTOMATION OF A MAINTENANCE DEPARTMENT USING ARTIFICIAL NEURAL NETWORK , Applied Computer Science: Vol. 14 No. 4 (2018)
You may also start an advanced similarity search for this article.