IDEAS home Printed from https://ideas.repec.org/a/ags/aolpei/320268.html
   My bibliography  Save this article

Influence of Key Performance Indicators in Marketing on the Financial Situation of Wine Producers Using ICT

Author

Listed:
  • Hennyeyová, Klára
  • Janšto, Erik
  • Šilerová, Edita
  • Stuchlý, Peter

Abstract

Marketing is one of the key elements of the success of all companies, including the wine sector. Given the importance of wine producers for agriculture, it is important to define and monitor key performance indicators in marketing (KPIs) for a successful stay in the market and a competitive position at home and abroad. Today, the increase in competitive advantage includes mainly marketing, innovation and information and communication technologies. New digital tools and innovations have changed the way we approached data and decisions. A modernly adapted and effective strategic marketing strategy represents for wine companies an understanding mainly of their possibilities as well as the possibilities to influence the customer. This article evaluates the key performance indicators in marketing (KPI) and its relationship and impact on the financial situation of wine producers in Slovakia. The research sample includes 80 respondents. We obtained the primary data through a questionnaire, which was filled in by the leaders of wine companies. We verified the accuracy by means of descriptive statistics and multiple linear regression and Kruskall-Wallis test. We have verified the reliability of the data with the Cronbach alpha test. We have formulated scientific assumptions for in-depth analysis: hypothesis 1 – assumes that key performance indicators have a significant influence on financial situation of selected companies, hypothesis 2 – the use of ICT in marketing is statistically related to the key performance indicators. The results showed a statistically significant impact of KPIs on the financial situation of companies. We have identified significance in customer satisfaction and loyalty, brand awareness and return of investment. However, we were unable to statistically confirm the impact of other indicators (sales growth, market share, gaining new customers). We also identified significant differences in the use of ICT in marketing with key performance indicators in hiring new customers and return on investment. This research contributes positively to the importance of brand building in the eyes of customers as well as customer service, building loyalty and satisfaction, which returns to the loyal approach of customers to the repurchase of wine products and provides advice for professionals. Return on investment helps in more accurate business decisions that can be used when purchasing new equipment (technology), hiring employees, or properly assessing the profitability of marketing strategies.

Suggested Citation

  • Hennyeyová, Klára & Janšto, Erik & Šilerová, Edita & Stuchlý, Peter, 2021. "Influence of Key Performance Indicators in Marketing on the Financial Situation of Wine Producers Using ICT," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
  • Handle: RePEc:ags:aolpei:320268
    DOI: 10.22004/ag.econ.320268
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/320268/files/Influence%20of%20Key%20Performance%20Indicators%20in%20Marketing%20on%20the%20Financial%20Situation%20of%20Wine%20Producers%20Using%20ICT.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.320268?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Coelli, Tim J. & Battese, George E., 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 1-26, August.
    2. Abdulai, Awudu & Eberlin, Richard, 2001. "Technical efficiency during economic reform in Nicaragua: evidence from farm household survey data," Economic Systems, Elsevier, vol. 25(2), pages 113-125, June.
    3. Bozoglu, Mehmet & Ceyhan, Vedat, 2007. "Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey," Agricultural Systems, Elsevier, vol. 94(3), pages 649-656, June.
    4. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
    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. Kharin, Sergei, 2021. "Asymmetry in Price Transmission: Evidence from the Wheat-Flour Supply Chain in Russia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    2. Uuld, Amar & Magda, Robert & Bilan, Yuriy, 2021. "An Analysis of Technical Efficiency of Vegetables’ Household Production in Mongolia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    3. Čechura, Lukáš & Žáková Kroupová, Zdeňka & Kostlivý, Vladimír & Lekešová, Michaela, 2021. "Productivity and Efficiency of Precision Farming: The Case of Czech Cereal Production," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    4. Cima, Elizabeth Giron & da Rocha-Junior, Weimar Freire & Dalposso, Gustavo Henrique & Uribe-Opazo, Miguel Angel & Becker, Willyan Ronaldo, 2021. "Forecasting Grain Production and Static Capacity of Warehouses Using the Natural Neighbor and Multiquadric Equations," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    5. Djuraeva, Mukhayyo & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2023. "The impact of agricultural extension type and form on technical efficiency under transition: An empirical assessment of wheat production in Uzbekistan," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 203-221.
    6. Richterová, Eva & Richter, Martin & Palkovič, Jozef, 2021. "World´s 24 Biggest Agricultural Producers` Eco-Efficiency Considering Undesirable Outputs," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    7. Hamulczuk, Mariusz & Makarchuk, Oksana & Kuts, Tetyana, 2021. "Time-Varying Integration of Ukrainian Sunflower Oil Market with the EU Market," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    8. Kánská, Eva & Stočes, Michal & Masner, Jan & Jarolímek, Jan & Šimek, Pavel & Vaněk, Jiří, 2021. "Possibilities of Using Social Networks as Tools for Integration of Czech Rural Areas - Survey 2021," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    9. Radha R. Ashrit, 2023. "Estimation of technical efficiency of Indian farms for major crops during 2013–2014 and 2017–2018: a stochastic Frontier production approach," SN Business & Economics, Springer, vol. 3(2), pages 1-32, February.
    10. Murthy, D. Sreenivasa & Sudha, M. & Hegde, M.R. & Dakshinamoorthy, V., 2009. "Technical Efficiency and its Determinants in Tomato Production in Karnataka, India: Data Envelopment Analysis (DEA) Approach," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(2), July.
    11. Zahidul Islam, K.M. & Sumelius, John & Bäckman, Stefan, 2012. "Do differences in technical efficiency explain the adoption rate of HYV rice? Evidence from Bangladesh," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), pages 1-18.
    12. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    13. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    14. Xosé A Rodríguez & Yahia H Elasraag, 2015. "Assessing the Total Factor Productivity of Cotton Production in Egypt," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-14, January.
    15. Khush Bukhat Zahid, 2023. "Household Market Participation, Access, and Farm Productivity in AJK: Evidence from Farm Household Data," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 62(3), pages 375-394.
    16. Edward Ebo ONUMAH & Bernhard BRÜMMER & Gabriele HÖRSTGEN-SCHWARK, 2010. "Productivity of the hired and family labour and determinants of technical inefficiency in Ghana's fish farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(2), pages 79-88.
    17. Nehring, Richard F. & Christensen, Lee A. & O'Donoghue, Erik J. & Sandretto, Carmen L., 2003. "Manure and Commercial Fertilizer Nutrients Relative to Cropland and Pasture Requirements: Is the Pollution Risk Growing on Corn/Livestock Farms?," 2003 Annual meeting, July 27-30, Montreal, Canada 21980, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Nehring, Richard & Erickson, Kenneth & Michael, Harris & Hallahan, Charlie & Katchova, Ani, 2016. "Heartland, Southern Seaboard, and Prairie Gateway: A Farm-Level Analysis," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235666, Agricultural and Applied Economics Association.
    19. Masood, Tariq & Ahmad, Mohd. Izhar, 2010. "Technical Efficiency of Microfinance Institutions in India- A Stochastic Frontier Approach," MPRA Paper 25454, University Library of Munich, Germany.
    20. Imori, Denise & Guilhoto, Joaquim José Martins & Postali, Fernando Antonio Slaibe, 2012. "Eficiência técnica das agropecuárias familiar e patronal – diferenças regionais no Brasil [Technical efficiency of agricultural households and business - regional differences in Brazil]," MPRA Paper 46954, University Library of Munich, Germany.

    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:ags:aolpei:320268. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/fevszcz.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.