IDEAS home Printed from https://ideas.repec.org/a/zag/market/v21y2009i2p167-182.html
   My bibliography  Save this article

Perceived role of marketing activities in the context of transitional economy

Author

Listed:
  • Sigitas Urbonavičius

    (Faculty of Economics, Vilnius University)

  • Vytautas Dikčius

    (Faculty of Economics, Vilnius University)

Abstract

The role and importance of various marketing activities within a company is a function of numerous internal and external factors, including those that are typical of transitional economies. These factors are integrated and shaped by managerial perceptions about their overall importance and suitability at a specific moment. Authors analyze opinions among managers of Lithuanian companies about the overall importance of the marketing function in their companies as well as about the importance of specific marketing activities. Special attention is paid to the specifics of managerial per ceptions and opinions during the period of economic uncertainty and recession. The research is based on a survey of 346 managers of primarily manufacturing and trading companies operating in Lithuania. The analysis showed a number of differences in the evaluation of the importance of marketing activities based on the characteristics of companies and their core strategic idea. The research revealed that the importance of pricing and communication activities is growing during a period of economic recession. It also confirmed the existence of a positive relationship between managerial evaluations of the importance of marketing activities and the growth of sales

Suggested Citation

  • Sigitas Urbonavičius & Vytautas Dikčius, 2009. "Perceived role of marketing activities in the context of transitional economy," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 21(2), pages 167-182.
  • Handle: RePEc:zag:market:v:21:y:2009:i:2:p:167-182
    as

    Download full text from publisher

    File URL: http://hrcak.srce.hr/file/81061
    Download Restriction: None
    ---><---

    References listed on IDEAS

    as
    1. Elena Skliarenko & Henry Bartel, 2006. "Evaluating the Relative Efficacy of the Marketing Function in the Construction Complex of Ukraine," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 12(1), pages 17-32, February.
    2. repec:kap:iaecre:v:12:y:2006:i:1:p:17-32 is not listed on IDEAS
    3. Prasad A. Naik & Kalyan Raman & Russell S. Winer, 2005. "Planning Marketing-Mix Strategies in the Presence of Interaction Effects," Marketing Science, INFORMS, vol. 24(1), pages 25-34, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen Zhou & Shrihari Sridhar & Rafael Becerril-Arreola & Tony Haitao Cui & Yan Dong, 2019. "Promotions as competitive reactions to recalls and their consequences," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 702-722, July.
    2. Blanco Callejo, M, 2007. "LA VENTA DE LA ILUSIÓN Y “LA BRUJA DE ORO”: EL EMBRUJO DE UN CÍRCULO VIRTUOSOi /," Investigaciones Europeas de Dirección y Economía de la Empresa (IEDEE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 13(3), pages 33-56.
    3. Beltran-Royo, C. & Zhang, H. & Blanco, L.A. & Almagro, J., 2013. "Multistage multiproduct advertising budgeting," European Journal of Operational Research, Elsevier, vol. 225(1), pages 179-188.
    4. Sharon Horsky, 2006. "The Changing Architecture of Advertising Agencies," Marketing Science, INFORMS, vol. 25(4), pages 367-383, 07-08.
    5. Ramanathan, Usha & Muyldermans, Luc, 2010. "Identifying demand factors for promotional planning and forecasting: A case of a soft drink company in the UK," International Journal of Production Economics, Elsevier, vol. 128(2), pages 538-545, December.
    6. Chan, Tat Y. & Narasimhan, Chakravarthi & Yoon, Yeujun, 2017. "Advertising and price competition in a manufacturer-retailer channel," International Journal of Research in Marketing, Elsevier, vol. 34(3), pages 694-716.
    7. S. Sriram & Pradeep K. Chintagunta & Ramya Neelamegham, 2006. "Effects of Brand Preference, Product Attributes, and Marketing Mix Variables in Technology Product Markets," Marketing Science, INFORMS, vol. 25(5), pages 440-456, September.
    8. Philippe Aurier & Anne Broz-Giroux, 2014. "Modeling advertising impact at campaign level: Empirical generalizations relative to long-term advertising profit contribution and its antecedents," Marketing Letters, Springer, vol. 25(2), pages 193-206, June.
    9. Albers, Sönke, 2012. "Optimizable and implementable aggregate response modeling for marketing decision support," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 111-122.
    10. 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.
    11. Olivier Rubel & Prasad A. Naik & Shuba Srinivasan, 2011. "Optimal Advertising When Envisioning a Product-Harm Crisis," Marketing Science, INFORMS, vol. 30(6), pages 1048-1065, November.
    12. Epstein, Leonardo D. & Inostroza-Quezada, Ignacio E. & Goodstein, Ronald C. & Choi, S. Chan, 2021. "Dynamic effects of store promotions on purchase conversion: Expanding technology applications with innovative analytics," Journal of Business Research, Elsevier, vol. 128(C), pages 279-289.
    13. Martín-Herrán, Guiomar & McQuitty, Shaun & Sigué, Simon Pierre, 2012. "Offensive versus defensive marketing: What is the optimal spending allocation?," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 210-219.
    14. Gou, Qinglong & Shao, Jing & Wang, Xin & Yu, Lili, 2020. "Co-op supply chains with a local media company: Models and analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    15. Margarita Išoraitė, 2015. "Analysis of marketing mix: Nivea case study," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 3(2), pages 173-185, December.
    16. Annamaria Sorato & Bruno Viscolani, 2008. "Modelling smoothly the joint effect of several advertising media on sales in a homogeneous market," Working Papers 176, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    17. Nobuhiko Terui & Masataka Ban, 2008. "Modeling heterogeneous effective advertising stock using single-source data," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 415-438, December.
    18. Suresh Divakar & Brian T. Ratchford & Venkatesh Shankar, 2005. "Practice Prize Article—: A Multichannel, Multiregion Sales Forecasting Model and Decision Support System for Consumer Packaged Goods," Marketing Science, INFORMS, vol. 24(3), pages 334-350, July.
    19. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
    20. V Kumar & Amalesh Sharma & Shaphali Gupta, 2017. "Accessing the influence of strategic marketing research on generating impact: moderating roles of models, journals, and estimation approaches," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 164-185, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zag:market:v:21:y:2009:i:2:p:167-182. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tanja Komarac (email available below). General contact details of provider: https://edirc.repec.org/data/fefzghr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.