جستجوی مقالات مرتبط با کلیدواژه « Startup » در نشریات گروه « پزشکی »

This research aimed to provide a model for empowering the academic staff members to enhance medical sciences.

This research had a mixed-method design (qualitative and quantitative). The statistical population for the qualitative part included start-up experts, and the quantitative part included all academic staff members working in the medical units of the Islamic Azad University of Tehran. In the qualitative part of the study, a purposive sampling approach was utilized to select participants. On the other hand, a randomly clustered sampling technique was employed for the quantitative part to ensure a representative sample.   The research tool consisted of a semi-structured interview and a researcher-made Likert-scale questionnaire. T-test and multivariate regression were computed using SPSS 23.

The effect of various components on empowerment, listed in order of priority based on the beta coefficients, is as follows: marketing and commercialization of knowledge (β=0.354), attracting business elites (β=0.306), knowledge sharing (β=0.265), analysis of financial risk (β=0.143), formation of business support association (β=0.111), value design and use of new technologies (β=0.075), financial and legal support of the government (0.066) =β), environmental changes (β=0.056), increasing value-creating activities (β=0.044), infrastructure provision (β=0.037), and discussion about startups (β=0.024).

The effectiveness of business activities in the competitive landscape of launching start-ups is enhanced through the empowerment of academic staff members. Empowered academic staff members enable managers to clearly understand their organization's position and make informed decisions in response to the prevailing conditions. This empowerment enables them to identify the appropriate application areas and take strategic steps towards developing medical knowledge.

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The current research was conducted with the Evaluation of innovation based on information technology in health startup ecosystems . The approach used in the research was qualitative and based on the foundation's data theory strategy. An in-depth interview tool has been used to collect data. Using purposive sampling after 11 in-depth interviews, theoretical saturation was achieved. In the foundation's data approach, in this research, during three stages of open, central and selective coding, 24 general categories have been expressed in a paradigmatic format, including causal, contextual, intervening conditions, central categories, strategies and consequences. The results showed that cultural development in information technology startups is caused by causal conditions (risk tolerance, analysis of the business situation, innovative capabilities of startups and technology absorption capacity), background (organizational structure of startups, market orientation and organizational readiness), intervening (legal infrastructures, management factors) , behavioral patterns, environmental factors and economic uncertainty), core categories (open innovation, technological capabilities and optimization of innovation processes), strategies (development of digital technologies, strategic planning for startups, value creation of startups and co-creation) and consequences (competitive advantage , strategic intelligence, business model improvement, digital transformation and organizational effectiveness) are realized. More about this source textSource text required for additional translation information Send feedback Side panels.

The main goal of this research is to design a branding model based on entrepreneurship in startups. Considering the fact that there is no comprehensive model in this field in the research literature of Iran, in this research using the qualitative research method of foundational data theory, the central phenomenon of the research is the process of branding in startups and after completing the steps The investigation of the causal, contextual, intervening conditions of this phenomenon was identified. Also, at the end, the results and consequences of branding in startups are presented in the model. To build the research model, the method of semi-structured interviews has been used according to the principles of the data theory of the foundation. The statistical population of the research includes executives and university experts in service startups who were identified and interviewed using the purposeful sampling method and the interview continued until reaching the theoretical saturation point and after analyzing and checking the extracted codes in three stages Coding, the final model was extracted.

The rapid growth in the use of financial technology along with the development of digital capabilities has changed today's living environment. The Internet has changed everyday life, relationships and culture of people. Moreover, extension of financial infrastructure based on modern technologies made challenges for traditional complex financial systems. Which of these led to the explosion of fintech startups and outbreak of covid-19 pandemic caused to speed up changes, especially social changes.

This study was conducted with the aim of identifying drivers and social consequences of fintech startup’s success in Iran. The current research is based on empirical study and is done with a deductive approach. From the point of method, it is qualitative research and grounded theory has been used to analyze expert interviews. 10 eligible individuals participated in this study by non-probabilistic and purposeful sampling. Gathered data has been analyzed with MaxQDA software.

The results of the qualitative analysis of expert interviews showed that the success of Iran's fintech startups through trust building, communication, interactions, designing and implementing appropriate marketing mix which can lead to changes at society (change of lifestyle, improvement of quality of life, technological growth) and have positive consequences for businesses (revival small businesses, create new businesses, facilitate and accelerate the development of financial services, reducing the cost of providing and receiving financial services).

One of the strategies that facilitate success is building trust between users, investors and team members. In the prevailing ambiguous political conditions, extensive sanctions, economic instability, extreme fluctuations in capital markets, along with the inherent uncertainty of startups, increases the difficulty of starting a startup and investing decisions.