جستجوی مقالات مرتبط با کلیدواژه « استارتاپ » در نشریات گروه « مدیریت »

Attracting talents is one of the most important actions in talent management. The purpose of this research, was to provide a framework for identifying and analyzing the factors affecting the recruitment of talents in startups. The current research is applied in terms of orientation and has a mixed nature from the methodology point of view due to the use of qualitative and quantitative methods. The statistical population of the research was human resources experts in startup companies. The data collection tools in this study were semi-structured interviews in the qualitative phase and questionnaires in the quantitative phase. The present research was conducted in three stages. In the qualitative phase, 13 interviews were conducted with startup experts. The interviews were conducted in a semi-structured manner and the sampling method was snowball. The interviews were analyzed using the theme analysis method and MAXQDA version 2020 software. Seven overarching themes and 33 main themes were obtained. In the second stage, the main themes were screened by distribution of expert questionnaires and fuzzy Delphi method. Eight themes had a higher defuzzy number of 0.7 and were selected for final prioritization. Screened themes were analyzed by distributing priority questionnaires and Marcos method. At this stage, 10 experts participated. Based on the evaluation indicators in the Marcos method, the priority themes were: compensation for financial services, learning work environment, welfare and personal communication. Practical research proposals were presented based on the most important main themes.

A startup is any company that works to grow, commercialize, and create entirely new goods, services, or mechanisms, driven by intellectual property or new technology. Startups have a significant impact on economic development. In addition, by creating jobs and wealth through innovation and technological activities, they have made important changes in the social, economic and even political context of countries. In the current era, startups or start-up companies play a significant role in entrepreneurship. These companies have played a prominent role in the development of the knowledge-based economy and are the source of many social developments. Innovation by start-up companies is one of the ways to increase competitive advantages and is considered one of the most important strategic approaches of companies to achieve long-term success. Startups have become the driving engine of the economies of developing countries, but many of them cannot continue their activities in the long term. Twenty percent of startups are out of competition in the first year and more than half of them in the first five years. In this regard, the aim of this research is to discover the factors affecting the success of startups. This research has been done with a qualitative approach using the phenomenological method. Fourteen managers of successful startups in the two provinces of Qazvin and Zanjan were selected by using criterion-based purposive sampling (being active and profitable) and data were collected using semi-structured interviews. Data analysis was done with the Colaizzi’s seven-step method. First, the text of the interviews was carefully read several times. Then the meaningful statements were identified. In the next stage, the meaning of these statements was formulated and organized in the form of organizing themes (thematic clusters). Then these clusters were described and then, the description of the underlying structure of the phenomenon under study was formulated. Finally, the analysis process was completed by validating the findings by receiving the feedback from the participants. : After the data analysis, factors affecting the success of successful startups were extracted in the form of 8 organizing themes and 26 basic sub-themes. The main themes are: "systems thinking", "active foresight", "creativity and innovation", "organizational learning", "team building", "financing", "business skills", and "market-orientation".The category of system thinking includes the three basic themes of adaptability, planned growth, and inter-functional coordination. The category of active foresight consists of the four basic themes of goal-setting, self-efficacy and hard work, experience and interest in work, and risk-taking. The category of creativity and innovation includes the three basic themes of creative ideation, the use of new technologies, and the design and production of applied products. The category of organizational learning consists of the three basic themes: acceptance of change, continuous learning and knowledge sharing. The category of team building includes the three basic themes of specialization, teamwork, and responsibility and accountability. The category of financing consists of two the basic themes of attracting capital and generating income. The category of business skills includes the three basic themes of problem solving, decision making, and advertising and information. And finally, the category of market-orientation consists of the five basic themes of choosing the target market and creating differentiation, customer orientation, publicity, product development and diversification, and providing service and support. Although having a creative idea is necessary to launch a startup and it is the main challenge of many founders to start a new investment, but it alone cannot guarantee its success. On the other hand, identifying and exploiting the opportunity also plays a prominent role in the success of startups, but the use of new technologies has improved the ability to generate ideas. Formulating a suitable growth strategy, foresight, having an expert team, financial strength, marketing and learning capabilities are other key success factors of startups. It should be noted that the systemic thinking is a necessary condition and a turning point in designing the structure and patterns of startup activities to adapt to technological changes and customer needs, and to connect them with each other. With this thinking, startups can intelligently make find the necessary preparations to face the upcoming opportunities and threats wisely.

Startups around the world boast diverse workforces, and forecasts suggest that future workforces will predominantly comprise minorities, including women, immigrants, and individuals from varied ethnic and racial backgrounds. Iranian startups are similarly diverse, featuring people from an array of ethnic and cultural backgrounds. Raising capital is crucial for the growth and development of innovative startups, and the abilities of startup founders are believed to significantly influence this process. This study aims to examine the impact of ethnic diversity among Iranian startup founders on the amount of investment capital raised, specifically at the Gitex exhibition in Dubai.

This research adopts a quantitative approach, is applied in nature, and employs descriptive data collection methods. It focuses on founders of 20 startups who participated in the Innovation and Prosperity Fund call by the Presidential Scientific Institution from 2020 to 2022, examined in a census format. To categorize ethnic diversity, we utilized Shannon's index. The study then explored the impact of ethnic diversity on capital raised using the Pearson correlation method, regression analysis, and SPSS software. Control variables included the size of the startup teams at the exhibition (at Series A funding level), the age of the startup (considered from the year of establishment to up to 10 years), and the founders’ experience in startups (average years of experience before and after joining the startup, within a 0 to 15 years range).

The results reveal that the ethnic diversity of Iranian startup founders significantly influences the amount of investment capital raised, considering control variables such as the startups' age, team size, and founders' full-time experience. The regression coefficient of 0.892 between ethnic diversity and capital raised underscores the positive and significant effect of diversity. Furthermore, we found a positive and statistically significant correlation between ethnic diversity and capital raised, indicating that a one-unit increase in ethnic diversity correlates with a 14% increase in total attracted capital.

This study contributes to management and entrepreneurship literature by supporting the "diversity as an advantage" theory and challenging the "diversity as a disadvantage" perspective in the context of raising startup capital. It suggests that investors should view diversity as a beneficial factor in startups, leading to more effective investment decisions. The findings align with cognitive theory and information processing, indicating that a diverse team, with varied cognitive models, may enhance innovation and problem-solving capabilities. Additionally, the results resonate with the theory of social networks and social capital, emphasizing the resources available through a network of diverse relationships. However, the findings contradict social identity theory and its related social classification theory, which argue that ethnic diversity can heighten conflict and reduce the efficiency of information exchange, cohesion, and trust, thereby negatively impacting performance. These contradictions offer intriguing avenues for future research.

The purpose of this research is to identify the dimensions and explain the technology valuation strategies of Iranian startups. The research method was applied in terms of purpose and based on the method of data collection, with a qualitative research approach. The statistical population of the research included experts, policymakers, consultants and CEOs active in Iran's startup ecosystem, 10 people were selected using the purposeful sampling and available method, and it was also analyzed using the interview content analysis method. Based on the findings of the study, 7 subcategories were identified in the main category of strategies. These sub-categories include the development and promotion of the technology valuation discourse, the transformation of existing knowledge in the field of technology into desirable and valuable knowledge, leadership and idea management, comprehensive technology evaluation system, culture building, regulation and regulation in the technology market, and the localization of technology valuation. Therefore, these strategies, while paying attention to Iran's environmental and cultural issues, can help the development and progress of Iranian startups in the technology valuation process and play an important role in the country's economic development.

The COVID-19 pandemic had a significant impact on the lives of growing startups. Considering the important role of these businesses in developing countries, the present study aims to provide a model for increasing the resilience of startups in Iran during the COVID-19 pandemic by using the thematic analysis method.

This is a descriptive survey study using qualitative and quantitative methods. In the first stage, by studying the literature, the factors shaping organizational resilience were identified. Then, by conducting unstructured interviews with experts in the field of startups and the university professors, the final factors affecting organizational resilience were summarized, and the initial study model was designed using the thematic analysis method. In the next stage, a researcher-made questionnaire of organizational resilience was designed and distributed among the employees of startups in Guilan Province, who were selected using a convenience sampling method. After collecting the questionnaires, the data from 238 complete questionnaires were analyzed using structural equation modeling in SmartPLS3 software. 

The findings show that according to the intensity of the coefficients of the research model, the characteristics of the organization (0.526), ​​the characteristics of the leader (0.433), the characteristics of the team (0.298) and the characteristics of the employees (0.244), are the most important Factors affecting the resilience of startups. These results help stakeholders and researchers to gain a more appropriate understanding of the resilience of startups.

The results of this study can help stakeholders and researchers in Iran gain a more appropriate understanding of the resilience of startups.

 In the new age and due to the advancement of technology and increasing changes in the business world, Startup businesses an important role in the economy of any country. This role has led entrepreneurs and business elites to think of new ways to grow and increase sales of these startups. One of the most flexible and agile business models is startups, which researchers refer to as the engines of the national economy. Startups are fast and flexible, have less bureaucracy, and have more motivation to succeed than large corporations. Startups are the beating heart of any economy. In developing countries, the commercial success of these start-ups is an important issue. But despite their continued contribution to economic growth, these companies face many problems, including resource constraints. The high failure rate of startups has led to a waste of resources and capital, so that the failure rate in the early stages of startups is much higher and has put them at high risk. Another limitation is that startups do not have high financial resources and capital, so to survive and succeed in competitive markets, they must use methods that achieve the highest results at a low cost and can attract customers. The growth of startups is significantly associated with economic development at the industrial, national and regional levels through the exploitation of new jobs and job opportunities. But much of the effort of entrepreneurs and innovators to start a business fails, with 9 out of 10 startups failing. Therefore, startups must look for strategies that respond to these limitations. One of these strategies is growth hacking, which is an ambitious attempt to grow the business as one of the most powerful solutions for companies with minimal financial resources. Startups are now using new and powerful methods called growth hacking to achieve maximum growth with astronomical growth at the lowest financial cost. In fact, growth hacking is a marketing strategy that uses analytical thinking and social metrics to expand the technology of startups. Therefore, according to what has been said, the main question of the present study is what is the implementation pattern of growth hacking strategy for startups? In addition, another point that raises the issue of research is the existence of a theoretical vacuum on the subject of growth hacking pattern for startups. Therefore, this study was conducted to design a model for implementing growth hacking strategy for startups. The method of research is mixed of qualitative and quantitative but is applied in terms of purpose and descriptive in terms of data nature and method. The statistical population of this research consists of university faculties in the field of marketing and market management as well as sales and marketing managers of startup co. participating in the research.Therefore, the statistical sample of the study was considered among the members of the community using the snowball sampling method and based on the principle of theoretical adequacy of 41 people. In the qualitative part of the data collection tool, the interview is semi-structured, part of which was conducted in person and the other part by telephone with the sample members. To evaluate the validity and reliability of data collection tools in the qualitative part, the content method and theoretical validity and reliability within the intermediary encoder were used, which showed the confirmation of these two indicators. Also, the data collection tool is in the quantitative part of the questionnaire, which was given to the experts in person and by email. Validity and reliability of data collection tools in the quantitative part of content validity and reliability of the retest showed that the validity and reliability of the questionnaires were confirmed. In this research, coding method and Atlas.ti software were used to analyze the data in the qualitative part. For quantitative analysis, interpretive structural modeling method has been used. Also, regarding the startup companies cooperating in the present study, it is necessary to explain that 30 startup companies in Lorestan province have participated in this research. Among the sales and marketing managers of startup companies, 30 of these managers have One person from each company participated in this study. The results of this research include presenting the implementation model of growth hacking in four stages of emergence of growth hacking thinking and philosophy, creating grounds for growth hacking, formulating growth hacking strategies and its consequences. The results show that the most important hacking strategies are SEO strategy, digital and electronic marketing, influencer marketing and gamification. The research results include identifying the components related to the implementation of growth hacking strategy and determining the leveling of these factors. The most important components related to the implementation of growth hacking strategy are: SEO strategy, motivating customers to engage with the brand, analytical and creative thinking, persuading and attracting customers, digital and electronic marketing, profitability improvement, statistical skills, coding analysis and programming Critical thinking, influencer marketing and content production for cyberspace, marketing intelligence, increasing market share, customer oriented market thinking, growth mindset, gamification, strengthening the company's competitive position, data analysis and market data-based decision making. After the components related to the implementation of the growth hacking strategy were identified, the structural matrix and internal relationships of the variables were formed. Then the initial matrix was determined and its internal consistency was established. Then, by interpretive structural modeling, the level and priority of variables were determined, and finally, after leveling and determining the relationships, the final model was drawn according to the adapted achievement matrix. In the present study, the implementation of growth hacking strategy is done in four stages: the consequences of growth hacking, growth hacking strategies, areas of growth hacking and thinking and philosophy of growth hacking.

The purpose of this research is to present the ecosystem model of startups in the field of medical services. This research is practical in terms of purpose and descriptive-survey in terms of data collection. The investigated community is the services of five startups in the field of medicine. After defining the topic and conducting initial exploratory and library studies, the factors and components were determined through theme analysis and by a researcher-made questionnaire that reached the opinion of academic and professional experts familiar with the topic (including 3 university professors and 7 experts) and after Obtaining their qualitative and quantitative corrective opinions (using the Delphi method) based on statistical methods related to the ultimate proportional analysis of the model, components and combination of factors has reached the consensus of the elites. In the qualitative part, maxqda software was used for thematic analysis, and in the quantitative part, smart pls software was used for factor analysis. This research was based on the number of 267 primary codes, of which 30 open codes and 9 central codes were formed. The findings of the research showed that (financial, cultural, political, education, market structure, human capital, networks, technology, support) has a significant impact on the ecosystem of startups. The results showed that bio ecosystem components have a better understanding of the use of bio ecosystem startups among startups in the medical field, which can lead to more optimal use of it among them. Using the introduced model helps the startups to identify the components of the startup ecosystem and understand their strengths and weaknesses in the relevant fields and also be more efficient in the competitive environment.

The purpose of this research is to investigate innovative strategies on the motivation and growth of employee communication. The method of conducting this research is causal-comparative and the statistical population includes 300 employees of startups who have participated in training courses on innovative strategies. The sample size was estimated to be 110 people using Cochran's formula using simple random sampling. Another 110 people were selected from employees who did not participate in innovative strategies training courses. A researcher-made questionnaire was used to collect data. Data analysis was done using descriptive statistics and parametric t test for independent groups by SPSS statistical software. The results show that there is a significant difference between the growth rate of the communication of the sample group and the growth rate of the control group. Also, there is a significant difference between the level of motivation of the sample group and the level of motivation of the control group. Therefore, it can be concluded that holding training courses on innovative strategies has increased the growth rate of communication and motivation of the employees participating in these courses. Therefore, it is suggested to continue training courses on innovative strategies.

The digital economy has created new opportunities to create startups and new models based on information technology, but not all startups created, especially in the field of electronic commerce, have been successful and have a high failure rate. As a result, the aim of this research is providing a feasibility model based on adaptive neuro-fuzzy inference system for e-commerce startups in order to help reduce the failure of these startups by identifying the factors and components affecting success. The current research is an applied research in terms of purpose and a survey in terms of data collection. the statistical population of the research is related to the active startups in the field of e-commerce in East Azerbaijan province from 2021 till 2022. the method of research in identifying the factors and indicators uses the content validity ratio (CVR) based on the opinions of experts. in order to predict the success rate of startups using the adaptive neuro-fuzzy inference system, a fuzzy system has been designed and trained. also, in order to generalize the system, the designed system has been validated.The output of the research is an intelligent system and the results of the feasibility study carried out by the adaptive neuro-fuzzy inference system indicate the correctness of the system's efficacy and its reliability in supporting the decisions made in order to create new e-commerce startups.

Due to the limited study and research in the field of startup branding, the purpose of this research is to investigate the process and factors affecting brand creation in startups. It seeks to examine the importance of branding startups and their strategies.

This research investigates the branding of 10 Iranian startups in different industries through multiple-case studies and conducting interviews with managers. Data gathered from interviews, organizational documents, and meeting notes were analyzed by the MAXQDA software. Data collection in this research was done using semi-structured interviews, and according to the purpose of this research, i.e. to identify the process and factors affecting branding in startups, an interview protocol was used to provide the possibility of gathering information under the guidance of the researcher. In other words, the interview was designed to provide access to three types of information: 1. background regarding the type and activity of the startups, 2. their views and tendency towards branding, and 3. Their branding activities.

This study confirms some of the findings of previous research. However, new findings are presented in this study. In the brand plan section, the findings of this research almost align with the theory. Theoretical and empirical findings show that brand design dimensions play an important role for startups due to their influence on company communication. In particular, empirical findings show that the logo design and name of a startup can be divided into two groups including internal goals and external goals. Based on the findings of this research, common patterns were observed in the branding process in the form of three themes including brand orientation, brand design, and branding activities. The branding process has various elements that should not be ignored to enhance brand equity. The findings show that branding is important to all startups, and they do take measures to improve it. The findings of this research are also different from the extant literature; activities such as public relations and sponsorship, using social media, and partnering with other companies were studied in this research, while they were not mentioned in earlier studies.

The most prominent features of startup companies are the lack of time, knowledge, capital, and human resources. Therefore, branding seems to be an important factor in the growth of a startup. In this study, it was emphasized that a brand is influenced by its visual dimensions. This study emphasizes the role of public relations and social media, participation in events, and partnerships with other companies, the importance of individuals and their personal brand in the company as branding activities.

Considering the high rate of failure among startups and the atmosphere of the Iranian startup ecosystem, as well as the economic-political crisis in recent years, lots of entrepreneurs starting their business face failure or serious crisis. Thus, investigating the dimensions of entrepreneurs' resilience and its nature among Iranian entrepreneurs is vital. Hence, the objective of this research is to identify the dimensions of the personal resilience of startup founders.

This research has a descriptive-exploratory orientation, inductive approach, and phenomenological strategy. Conducting in-depth interviews with 13 Iranian startup founders and carrying out thematic analysis, five main themes, 16 subsidiary themes, and 454 codes were extracted.

Based on the achieved results, the formation of personal resilience among entrepreneurs consists of five main themes: (1) Entrepreneur's characteristics: including personal characteristics and psychological capabilities, values and beliefs, entrepreneurial motivation, and skills and readiness for facing business adversities, (2) External support: including psychologically empowering factors and providing needed facilities by different sources of support for instance from a spouse, family, friends, co-founders, employees, investors, mentors, therapist, customers, and society, (3) Characteristics of failure: including costs of failure and causes of failure, (4) The process of forming resilience: including initial actions for improving mood, initial reactions, mental approaches and actions, person-related proceedings and work-related proceedings, and (5) After-failure growth: including psychological growth, attitudinal growth, work-related behavioral growth, and non-work-related behavioral growth.

This study presented a model of resilience formation from failure to shaping resilience, to after-failure growth. This model clarifies the dimensions of entrepreneurs' personal resilience in more detail by putting dimensions in three relatively distinct time intervals. It also discussed several factors in entrepreneurs' personal resilience in more detail, adding to the existing literature. The dual role of self-confidence is notable in this regard. Self-confidence and efficacy can strengthen one's resilience; however, if not realistic, such self-confidence can amplify the negative consequences of failure, as entrepreneurs cannot act as expected by themselves in the face of adversity. Another dual factor in personal resiliency is the bond between an entrepreneur and a business, which is usually referred to as parental love. Although this passion and love for the business advance them to persist in the business, it may blind the entrepreneur's unbiased analysis of the problems and challenges both in the internal and external environment, which may lead them to more business crises. The current study also emphasizes the high similarity between entrepreneurs' characteristics that strengthen one's resiliency, and the reported growth as a result of resilient coping with failure, in different aspects such as psychological capabilities, values and beliefs, attitudes, and behavioral improvements. It suggests that facing adversity and showing resilience toward failure, is, by itself, an important source of even more resilience. Finally, based on the findings, applicable suggestions on increasing the personal resiliency of entrepreneurs are presented, including the development of psychological capabilities, skills, and work/family/friends network and their means; learning mental and behavioral approaches toward business failure such as acceptance, mourning over the loss of failure, and avoiding denial; cultural attempts toward a better atmosphere in Iranian startup ecosystem by investors and other players in Iran's startup ecosystem such as looking at using psychotherapy counseling as a personal development attempt; and supports and infrastructures needed to improve resilience.

The purpose of this study is to identify the different dimensions of startup weekend event and to provide a model for its effectiveness. In this research, the mixed method (qualitative then quantitative) has been used. In the first phase of the research (qualitative phase), using the grounded theory, in-depth and semi-structured interviews were conducted with 15 startup ecosystem experts by applying the snowball method, until the theoretical saturation was reached. The data obtained from the interview were coded in three stages: open, axial and selective, and finally the research model was presented. In the quantitative phase of the research, the research model was tested by presenting a questionnaire to the statistical population, which included 400 participants and event organizers across the country. Smart PLS and SPSS softwares were used to examine the relationships between the model variables. Findings show that the infrastructure and environment of a startup event can affect the effectiveness of the event. Event infrastructure includes the availability of economic conditions, the level of maturity of the ecosystem and the appropriate infrastructure for holding the event. The components of the event environment include the involvement of event organizers, audits, policy-making, facilitating international cooperation, sanctions, and government's dominant role in supporting the ecosystem.

Research in the field of start-ups, due to the growth of competitive markets in this sector, has realized the intensity of changes in the field of competition, the need to recognize and use opportunities in time, but due to the lack of a modern and specific model in research that paves the way for them in In this way, they cannot use the available opportunities properly. Therefore, it is necessary to develop a model to accurately identify opportunities with an entrepreneurial marketing approach in startups. The current research seeks to develop the entrepreneurial marketing model in startups and has used the foundation's data strategy, which includes open, central, and selective coding, in order to achieve the model of the research model. The present research method is applied in terms of purpose, with a qualitative-exploratory approach, and in terms of implementation, it is done using database technique. The tool used is a semi-structured interview with experts in this field, whose number was selected using targeted snowball sampling based on the principle of saturation. The researcher of the research findings from the interviews and coding that Shalma divided 10 main categories and 20 sub-categories into six sections including causal conditions consisting of customer orientation, selection and training, background conditions consisting of the arrangement of entrepreneurial constraints, intervening conditions of managerial factors, central conditions Consisting of entrepreneurial orientation and entrepreneurial attitude, it has presented strategies consisting of organization strategy, mental image and advertising, and consequences consisting of competitive advantage (differentiable and relative).

This study seeks to examine the principles and factors affecting the creation of buzz marketing in a new business and also to examine its functions in entrepreneurial marketing.

In this research, the qualitative research method has been used as a comparative case study with Delphi approach. Semi-structured in-depth interviews and questionnaires were used to reach a consensus among the samples. The statistical population of this study was the staff of Iranian startups. A sample of 8 people including experts and managers of startups were determined by judgmental sampling method. In the present study, for the validity of the research, the method of receiving the opinions of the participants in the research on the validations and interpretations, as well as the recording with the approval of the supervisor, were used; To calculate the reliability, the open test method and the intra-subject agreement method of the two coders were used. To analyze the data, the theme analysis method was used.

The results of theme analysis indicated that the function of buzz marketing in startups includes six main categories: principles and strategies, processes and implementation steps, buzz-generating themes, models, executive challenges and opportunities.

The results of this study show that marketers, by considering the five stages of informing and attracting the audience, creating interest and passion for the product, creating desire in the audience, creating interaction with the company and forming loyalty are trying to use the principles of fuss marketing.

With the advent of the Internet and the IT revolution in recent decades, startups can create new business opportunities around innovative ideas. As startups are tied to technology, they have become a driving force in the economies of nations. However, their high failure rates indicate that failure is part of the startup ecosystem and they are inevitable, and because of the limited resources and time of the startups, a failed project can get them out of business. According to recent research, most startups are more vulnerable in the early stages of their life-cycle, and investigating the factors affecting the resilience of startups throughout the life-cycle of innovation can reduce their failure rates. By conducting a multi-case study of PayPing, Achareh, Ubaar, and Keshmoon that have successfully played out their startup life cycle, analyzing the content of the data collected through interviews by Atlas.ti, the startup resilience model in the ICT industry was extracted. The findings show that the startup resilience model has three dimensions of challenge (with product, market, team, financial and legal challenge components), action (with pivot, value proposition, lean customer creation, platform building, internal action and external action), and progressing factor (with team key capabilities and startup ecosystem).

Following the development of the Internet, traditional banks and financial institutions realized that they had no choice but to accept the transformation trend. Moreover, there was an excellent opportunity for startups and technology activists to enter the financial field. In recent years, fintech or financial technology has become the most popular term in the world's economic markets. Investors in emerging markets are looking to gain a foothold by innovation. Although FinTech still has a long way to reach the desired position, this financial innovation has attracted attentions from many countries. This study is a ibrary research and seeks to examine the developments, applications, advantages and disadvantages of FinTech in Iran and the world.

In the new economy, due to the increasing competition among e-businesses, it is important to have a proper business model in e-businesses for success in business.

The purpose of this study is to investigate the factors affecting the e-business model in Iranian startups.

The statistical population of this study consisted of ten Iranian startups. Given the size of population, sample was selected through the census of 113 individuals. Main variables of the study include key partners, key activities, key resources, value proposition, customer relationship, communication channels, cost structure, revenue streams, e-business culture, supply chain. Data were collected through interview, questionnaire and documentation. After extracting the dimensions of e-business model, a questionnaire was developed. The questionnaires were distributed to Delphi experts and then according to Delphi experts, final questionnaire was prepared and distributed to the managers and stakeholders of e-businesses. Delphi hourly method was used to determine the validity of questionnaire and Cronbach's alpha method was used to determine the reliability. Data analysis technique was performed through structural equations.

In this study, the impact of key partners, key activities, key resources, value proposition, customer relationship, communication channels, cost structure, revenue flow, e-business culture, supply chain on e-businesses was proven.

Dimensions of e-business model increase productivity and success in Iranian startups by affecting Iranian startups.

The aim of this study is to investigate the structural model of factors affecting survival and growth of startups in Iran. The method of this research is descriptive survey. The research population was Managing Directors and Board Members of the Startups in Tehran that includes 129 startups and 370 members. 182 people were selected as samples based on Cochran's formula. A researcher-made questionnaire was used to collect data. The reliability of the questionnaire was confirmed by Cronbach alpha coefficient and the composite reliability. Validity of the questionnaire was verified using confirmatory factor analysis, convergent validity and divergent validity. The structural equation modeling was used for data analyzing with SMARTPLS software. The results showed that financial resources, market opportunities, customer recognition, business intelligence, innovation, investment on research and development, marketing capabilities and technological capabilities had a positive and significant effect on survival and growth of startups but the effect of market knowledge and networking capabilities on survival and growth of startups was not confirmed. The final achievement of the paper is to provide guidelines for the survival and growth of startups.

Startup accelerator program is a new incubation model to accelerate venture creation providing specialized mentorship, networking opportunities and financing growth driven businesses. Since emergence of the first accelerator in US in 2005, the number of seed accelerating programs has quickly grown worldwide. Performance evaluation of these emerging programs not only could clarify relative success of this new incubation approach but also help out Iranian emerging accelerators to benchmark from pioneers of the industry. The evaluation could also assist startups and entrepreneurs to find out which of the existing accelerators are well-performed and thus ease decision making to select them as their incubator. So in this paper we aim to measure the performance of US top accelerators using a DEA method combined with goal programing approach. The inputs of the evaluation consist of numbers of mentors and startups, investment on each startup in average and in general, and the share of accelerator in startup company. The outputs in turn are different and include number and value of exits, and fund raising. Comparison of the final result with Seed Accelerator Ranking Project (SARP), shows different sorting and it is due the distinct evaluation approach. SARP considers only outputs of accelerators but we take in to account both outputs and inputs in the evaluation which could better illustrate the efficiency of DMUs.