Designing the strategic structure model of small and start-up businesses using the fuzzy interpretive structural modeling approach

Document Type : Research Paper


1 industrial management / persian gulf university

2 Industrial Management, Faculty of Business and Economics, Persian Gulf University, Bushehr, Iran


Managers and owners of small businesses often spend little time preparing a strategic planand communicating between the strategy and executive layers.This research has been carried out withthe aim of systematically reviewing previous researches in the field of strategy mapping and knowledge,as well as identifying key elements and providing a strategic map for new businesses in Bushehr province.The main goal of the research is to design a structural strategic model of effective indicators for starting small and start-up businesses. By studying the subject literature and using the textual content analysis approach, a number of fifteen basic indicators were counted, and in order to localize them in small and start-up businesses,the Delphi technique was used in three rounds. The statistical population of the research was formed by managers and experts familiar with the subject and working in the field of small and startup businesses.A researcher-made questionnaire was used to collect data, and its validity and reliability were also confirmed.In order to design a structural strategic model of effective indicators for the planning of small and start-up businesses,the interpretive structural modeling approach was used in a fuzzy environment to manage linguistic ambiguities in judgments.The results of the modeling and analysis of Mic Mak showed that the attraction and cultivation of expert employees, employee participation, effective leadership and the creation of a supporting information system are among the basic and influential indicators in the field of small and start-up businesses;Therefore, managers are suggested to emphasize and pay more attention to this group of indicators


Articles in Press, Accepted Manuscript
Available Online from 10 December 2022
  • Receive Date: 08 October 2022
  • Revise Date: 06 November 2022
  • Accept Date: 29 November 2022
  • First Publish Date: 10 December 2022