Application of the means-end chain theory to study of the value perception on professional clients markets

Zbigniew Pastuszak, Mieczyslaw Pawlowski, Ali Turkyilmaz

Research output: Contribution to journalArticle

Abstract

The authors present the results of research on the perception of value in the relations of companies on the B2B market. The research was carried out using the means-end chain (MEC) theory and the laddering interview method. Entrepreneurs' research in the form of structured interviews was used. Perception of value in organisational relationships can be considered in the aspects of the efficiency of running a business and the interaction between people. In times of easy-accessed information and easy-to-use means of communication, interpersonal interactions and societal values are becoming more and more important. They are willingly articulated by entrepreneurs in the form of a professed system of value. The mutual learning of business process participants at both individual and organisational level is of great importance.

Original languageEnglish
Pages (from-to)256-272
Number of pages17
JournalInternational Journal of Innovation and Learning
Volume26
Issue number3
DOIs
Publication statusPublished - Jan 1 2019

Fingerprint

market
entrepreneur
Values
Industry
interpersonal communication
interaction
interview
Communication
efficiency
Means-end chain
learning
Interaction
Entrepreneurs
time
Business process
Organizational level
Structured interview
Interpersonal communication
Laddering

Keywords

  • B2B relations
  • Laddering interview method
  • Means-end chain theory
  • MEC
  • Organisational learning
  • Value perceiveness

ASJC Scopus subject areas

  • Education
  • Management of Technology and Innovation

Cite this

Application of the means-end chain theory to study of the value perception on professional clients markets. / Pastuszak, Zbigniew; Pawlowski, Mieczyslaw; Turkyilmaz, Ali.

In: International Journal of Innovation and Learning, Vol. 26, No. 3, 01.01.2019, p. 256-272.

Research output: Contribution to journalArticle

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