IDEAS home Printed from https://ideas.repec.org/a/vrs/manmen/v23y2019i1p20-49n2.html
   My bibliography  Save this article

Management and quality sciences as a discussion implicator on the maturity of Polish manufacturers of the agricultural machinery sector

Author

Listed:
  • Nogalski Bogdan

    (WSB University, Institute of Management and Finance, Poland)

  • Niewiadomski Przemysław

    (University of Zielona Góra, Faculty of Economics and Management, Poland)

  • Szpitter Agnieszka

    (The University of Gdańsk, Faculty of Management, Poland)

Abstract

In the paper, an attempt was made to answer the following question: what is the maturity level of the Polish companies operating in the agricultural machinery sector within the area of the implementation of quality management principles, methods and tools? In reference to such an outlined purpose, as necessary activities, it was recommended: at the theoretical level – using the reconstruction and interpretation method of the subject literature – to nominate the questions giving opinions on the maturity level in the sphere of the effective implementation of quality management principles, methods and tools; at the design level – to compile a research tool in the form of an assessment sheet that constitutes a result of the literature exploration and discussion among deliberately chosen experts; and at the empirical level – questioning among manufacturers of parts, components and finished agricultural machinery.

Suggested Citation

  • Nogalski Bogdan & Niewiadomski Przemysław & Szpitter Agnieszka, 2019. "Management and quality sciences as a discussion implicator on the maturity of Polish manufacturers of the agricultural machinery sector," Management, Sciendo, vol. 23(1), pages 20-49, June.
    • Handle: RePEc:vrs:manmen:v:23:y:2019:i:1:p:20-49:n:2
    DOI: 10.2478/manment-2019-0002
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/manment-2019-0002
    Download Restriction: no
    File URL: https://libkey.io/10.2478/manment-2019-0002?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. Franziska Völckner & Julian Hofmann, 2007. "The price-perceived quality relationship: A meta-analytic review and assessment of its determinants," Marketing Letters, Springer, vol. 18(3), pages 181-196, September.
    2. Julian Hofmann & Michel Clement & Franziska Völckner & Thorsten Hennig-Thurau, 2007. "The price-perceived quality relationship: A meta-analytic review and assessment of its determinants," Post-Print hal-02990424, HAL.
    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. Balabanis, George & Stathopoulou, Anastasia, 2021. "The price of social status desire and public self-consciousness in luxury consumption," Journal of Business Research, Elsevier, vol. 123(C), pages 463-475.
    2. Gagnon-Bartsch, Tristan & Rosato, Antonio, 2022. "Quality is in the eye of the beholder: taste projection in markets with observational learning," MPRA Paper 115426, University Library of Munich, Germany.
    3. Boccali, Filippo & Mariani, Marcello M. & Visani, Franco & Mora-Cruz, Alexandra, 2022. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    4. Abhishek Borah & Francesca Bonetti & Angelito Calma & José Martí-Parreño, 2023. "The Journal of the Academy of Marketing Science at 50: A historical analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 222-243, January.
    5. Anton, Ramona & Chenavaz, Régis Y. & Paraschiv, Corina, 2023. "Dynamic pricing, reference price, and price-quality relationship," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    6. Anne Corcos, 2023. "How nudges and marketing, frame time preference “for your own good”: a behavioral model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    7. Tuğba Yeğin & Muhammad Ikram, 2022. "Developing a Sustainable Omnichannel Strategic Framework toward Circular Revolution: An Integrated Approach," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    8. Jyrki Isojärvi & Jaakko Aspara & Reza Movarrei, 2022. "Revisiting the paradox of whether retail buyers behave more like consumers or industrial purchasers: the case of price discounts," Marketing Letters, Springer, vol. 33(3), pages 499-521, September.
    9. Otterbring, Tobias, 2021. "Peer presence promotes popular choices: A “Spicy†field study on social influence and brand choice," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    10. Kjellberg, Hans & Sjögren, Ebba & Krafve, Linus Johansson, 2023. "The functions of known to be inaccurate prices in markets: A cross-country comparison of pharmaceutical list pricing," Journal of Business Research, Elsevier, vol. 167(C).
    11. Zheng, Dan & Chen, Yuxin & Zhang, Zhe & Che, Hai, 2022. "Retail price discount depth and perceived quality uncertainty," Journal of Retailing, Elsevier, vol. 98(3), pages 542-557.
    12. Chung, Myungjin & Saini, Ritesh, 2022. "Consumer self-uncertainty increases price dependency," Journal of Business Research, Elsevier, vol. 140(C), pages 40-48.
    13. Einat Tenenboim & Nira Munichor & Yoram Shiftan, 2023. "Justifying toll payment with biased travel time estimates: Behavioral findings and route choice modeling," Transportation, Springer, vol. 50(2), pages 477-511, April.
    14. Prakash, David & Spann, Martin, 2022. "Dynamic pricing and reference price effects," Journal of Business Research, Elsevier, vol. 152(C), pages 300-314.
    15. Alexander P. Schudey & Ove Jensen & Nils D. Kraiczy, 2016. "„Made in?“ – Eine Metaanalyse multidimensionaler Country-of-Origin Effekte [„Made in?“ – A multidimensional meta analysis of country-of-origin effects]," Schmalenbach Journal of Business Research, Springer, vol. 68(1), pages 47-74, April.
    16. Stephan Zielke & Deonir Toni & José Afonso Mazzon, 2023. "Cognitive, emotional and inferential paths from price perception to buying intention in an integrated brand price image model," SN Business & Economics, Springer, vol. 3(1), pages 1-25, January.
    17. Kulshreshtha, Kushagra & Sharma, Gunjan, 2022. "From restaurant to cloud kitchen: Survival of the fittest during COVID-19 An empirical examination," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    18. Dmitry Shapiro & Seung Huh, 2021. "Incentives of low‐quality sellers to disclose negative information," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(1), pages 81-99, February.
    19. Agam Gupta & Arqum Mateen & Divya Sharma & Uttam K. Sarkar & Vinu Cheruvil Thomas, 2019. "Combating incumbency advantage of network effects: The role of entrant’s decisions and consumer preferences," Competition and Regulation in Network Industries, , vol. 20(1), pages 3-32, March.
    20. van Doorn, Jenny & Risselada, Hans & Verhoef, Peter C., 2021. "Does sustainability sell? The impact of sustainability claims on the success of national brands’ new product introductions," Journal of Business Research, Elsevier, vol. 137(C), pages 182-193.

    More about this item

    Keywords

    quality management; company maturity; principles; methods and tools of quality management;
    All these keywords.

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

    Statistics

    Access and download statistics

    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:vrs:manmen:v:23:y:2019:i:1:p:20-49:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.