Identifying and analyzing the effective factors and consequences of soft innovation in export companies

Document Type : Original Article

Authors

1 Assistant Professor, Department of Business Management, Faculty of Management & Economic, Lorestan University, Lorestan, Iran

2 Department of Management, Faculty of Management, Lorestan University, Khorramabad, Iran

Abstract

The present research was conducted to identify and analyze the effective factors and consequences of soft innovation in knowledge-based companies. This research is exploratory in terms of practical purpose and in terms of data collection method, which follows a comparative-inductive research philosophy. The statistical population of the research is experts and professionals in the field of study, consisting of college professors in the field of marketing and management, as well as research and development (R & D) and marketing managers of export companies operating in the apparel and fashion industry. Using the purposive sampling method and based on the principle of theoretical saturation, 25 of them were selected as sample members. The instrument used for data collection is an interview in the qualitative part and a questionnaire in the quantitative part. This study used content analysis and coding method in the qualitative part and fuzzy mapping method (FCM) in the quantitative part for data analysis. The research findings include the identification of effective factors and consequences of soft innovation in export companies. Based on the research results, among the factors affecting the creation of soft innovation, symbolism, and symbolic innovation are the most important factors, and among the identified consequences, the phenomenon of competitive position for the market was identified as the most important consequence.

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Main Subjects

Journal of International Business Administration

Articles in Press, Accepted Manuscript
Available Online from 02 December 2023

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History

  • Receive Date: 31 October 2023
  • Revise Date: 25 November 2023
  • Accept Date: 02 December 2023

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