خلاصة:
Startups are usually built around innovative ideas, and mentors serve as watchdogs and entrepreneurs in the creation and growth of startups. The purpose of this research was to design a mentoring model for the development of startups in food industry. The research method was mixed employing sequential-exploratory design, grand-theoretical method and applied-developmental goal. Through purposeful theoretical sampling, in the qualitative section, 15 academic experts in the field of entrepreneurship management and food industry were selected. In the quantitative section, using stratified random sampling, 384 entrepreneurs, mentors and students active in food industry startups were recruited who answered a researcher-made questionnaire. The qualitative analysis was performed with five rounds of interviews to reach saturation and theoretical consensus for open, axial and selective coding of mentoring model categories in food industry startups, the quantitative analysis of which was performed with Smart pls (2) statistical software. The paradigm pattern of research was established in 4 axes, 29 categories, 193 items and 6 constructs including: causal conditions, central phenomena, strategies, contextual conditions, intervening conditions and consequences. The relationship between causal condition structures and central phenomenon, central phenomenon and strategies, contextual conditions and strategies, intervening conditions and strategies and strategies and consequencies of mentoring development was found to be positive and significant (T ≤ 2.58), and research model fit was assessed as strong (GOF = 0.682). Therefore, it can be concluded that the managers and policymakers of the country's food industry can benefit from the consequences of mentoring development in the startups of the country's food industry by implementing the antecedents of the research model and implementing its strategies.
ملخص الجهاز:
Qualitative analysis was conducted through five rounds of interviews until reaching saturation and theoretical consensus for open, axial, and selective coding of the categories of the mentoring model in food industry startups, and quantitative analysis was performed using SmartPLS statistical software.
First, in the qualitative section: through a systematic review of documents and previous studies in this field and semi-structured interviews with participants: academic experts in the field of entrepreneurship management and the country's food industries, until reaching theoretical saturation in open, axial, and selective coding 6, the components of the paradigm model: central and main phenomenon, causal conditions, contextual conditions, intervening conditions, strategies, and consequences of developing the mentoring model in creating and developing food industry startups were conducted in 5 interview rounds.
Second proposition: "Legal", "political", "socio-economic", "international", "marketing challenges", "organizational challenges", and "the ecosystem of startup communities" factors play a role as intervening (causal) factors in the development of the "mentoring pattern in the direction of creating and developing food industry startups" in the country.
Fourth proposition: The internal environment, as contextual conditions in mentoring food industry startups, including "individual and group human-centered factors", "hardware and software factors", "policy and political work factors", "structural factors", "socio-cultural factors", "protective and credit policies" and "economic and financial factors", provide a specific platform for "macro", "meso", and "operational" managerial strategies in the development of the "mentoring pattern in the direction of creating and developing food industry startups" in the country.
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