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The Degree of Adoption of Business Intelligence in Romanian Companies—The Case of Sentiment Analysis as a Marketing Analytical Tool

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  • David-Florin Ciocodeică

    (Marketing Department, The Bucharest University of Economic Studies, 010404 Bucharest, Romania)

  • Raluca-Giorgiana (Popa) Chivu

    (Postdoctoral School, The Bucharest University of Economic Studies, 010404 Bucharest, Romania)

  • Ionuț-Claudiu Popa

    (Postdoctoral School, The Bucharest University of Economic Studies, 010404 Bucharest, Romania)

  • Horia Mihălcescu

    (Marketing Department, The Bucharest University of Economic Studies, 010404 Bucharest, Romania)

  • Gheorghe Orzan

    (Marketing Department, The Bucharest University of Economic Studies, 010404 Bucharest, Romania)

  • Ana-Maria (Dumitrache) Băjan

    (Marketing Department, The Bucharest University of Economic Studies, 010404 Bucharest, Romania)

Abstract

The structural changes in the public communication space through the advent of the Internet and the further development of online commerce culminate today with the explosion of blockchain techniques and social networks. This communication space was quickly taken over by marketing tools, as demonstrated by the many marketing campaigns dedicated to these new communication channels. The development of online commerce and the emergence of social networks have allowed consumers to efficiently search for brands/products/services, compare them, express their point of view on them, and even give them grades. Due to the explosion of relevant data online, the changing business environment needs attention to interpret and extract relevant information. The application of sentiment analysis to public reaction in the online environment provides the researcher with how the authors of the analyzed texts (clients/beneficiaries) express themselves regarding the studied reference (product/service/organization/social theme and a feature of them). Along with the other metrics present in marketing, including digital marketing, the reports in the analysis panels of google analytics and social networks, sentiment analysis instantly provides the general and competitive context in which the product/service/theme evolves. In this article, two types of research have been conducted to highlight the benefits felt, but also the degree of knowledge, implementation, and use of sentiment analysis in online marketing analysis. One of the types of research was qualitative, carried out on 10 participants (specialists in the field of marketing), with the help of an interview guide. Qualitative research aims to find out the level of knowledge of sentiment analysis and the general degree of digitalization of Romanian companies, an indicator considered critical in the new post-pandemic business environment. The second research was quantitative and used to develop analysis by structural equations. For this, a questionnaire applied to a sample of 108 respondents was used. Through the analysis by structural equations, a conceptual model was developed that presents the main factors that are related to others and that contribute to the satisfaction of the users of the analysis of feelings for obtaining marketing data.

Suggested Citation

  • David-Florin Ciocodeică & Raluca-Giorgiana (Popa) Chivu & Ionuț-Claudiu Popa & Horia Mihălcescu & Gheorghe Orzan & Ana-Maria (Dumitrache) Băjan, 2022. "The Degree of Adoption of Business Intelligence in Romanian Companies—The Case of Sentiment Analysis as a Marketing Analytical Tool," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7518-:d:843443
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    1. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    2. Ribeiro-Navarrete, Samuel & Botella-Carrubi, Dolores & Palacios-Marqués, Daniel & Orero-Blat, Maria, 2021. "The effect of digitalization on business performance: An applied study of KIBS," Journal of Business Research, Elsevier, vol. 126(C), pages 319-326.
    3. Mahmoud Yasin & Lucia Porcu & Francisco Liébana-Cabanillas, 2019. "The Effect of Brand Experience on Customers’ Engagement Behavior within the Context of Online Brand Communities: The Impact on Intention to Forward Online Company-Generated Content," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    4. Berthon, Pierre R. & Pitt, Leyland F. & McCarthy, Ian & Kates, Steven M., 2007. "When customers get clever: Managerial approaches to dealing with creative consumers," Business Horizons, Elsevier, vol. 50(1), pages 39-47.
    5. Gheorghe ORZAN & Otilia-Elena PLATON & Cristian Dragos STEFĂNESCU & Mihai ORZAN, 2016. "Conceptual Model Regarding The Influence Of Social Media Marketing Communication On Brand Trust, Brand Affect And Brand Loyalty," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(1), pages 141-156.
    6. Muñiz Jr., Albert M. & Schau, Hope Jensen, 2011. "How to inspire value-laden collaborative consumer-generated content," Business Horizons, Elsevier, vol. 54(3), pages 209-217, May.
    7. Sommarberg, Matti & Mäkinen, Saku J., 2019. "A method for anticipating the disruptive nature of digitalization in the machine-building industry," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 808-819.
    8. Prabowo, Rudy & Thelwall, Mike, 2009. "Sentiment analysis: A combined approach," Journal of Informetrics, Elsevier, vol. 3(2), pages 143-157.
    9. Meena Rambocas & João Gama, 2013. "Marketing Research: The Role Of Sentiment Analysis," FEP Working Papers 489, Universidade do Porto, Faculdade de Economia do Porto.
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    Cited by:

    1. Horia Mihalcescu & Ana-Maria Dumitrache (Bajan) & Gheorghe Orzan, 2022. "Impact of Digitization and Big Data on Romanian Companies - a Qualitative Research," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 126-132, November.

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