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The purpose of this paper is to identify the model that explains the new venture emergence in China by examining the effects of experience and innovativeness of entrepreneurial opportunities on the new venture emergence, as well as the moderating effect of munificence.

Based on the dynamic data from the Chinese Panel Study of Entrepreneurial Dynamics (CPSED) where nascent entrepreneurs were randomly sampled and were followed for three years, this paper uses the COX proportional hazard model to answer the research questions.

Those who have successful entrepreneurial experience are able to more rapidly create new ventures, whereas the relevant industry experience and innovativeness of entrepreneurial opportunities have a negative effect on the new venture emergence. Moreover, munificence negatively moderates the effects of entrepreneurial experience and innovativeness of entrepreneurial opportunities on the new venture emergence.

This paper only measures whether entrepreneurs have relevant industry experience, and does not reflect on the different degrees of it. In addition, small time interval of dynamic follow-up survey may bias the results.

This paper revealed that not all kinds of experience promote the venture emergence, and a more innovative entrepreneurial opportunity is not always better. Entrepreneurs should accumulate experience and evaluate innovativeness of entrepreneurial opportunities rationally.

New venture emergence relies on the mutual influence of entrepreneurs, entrepreneurial opportunities and entrepreneurial environment. However, most studies explored the new venture emergence from a single perspective which led to a plethora of conflicting conclusions. This paper attempts to examine the effects of experience and innovativeness of entrepreneurial opportunities on the venture emergence, as well as the moderate effect of munificence.

The purpose of this paper is to build a research model from the perspectives of entrepreneur and entrepreneurial opportunity examining the effects of entrepreneurial growth aspiration and the innovativeness of entrepreneurial opportunity and their interactive effect on the business planning in the new venture emergence.

Six hypotheses are put forward and examined by hierarchical multiple linear regression and multiple logistic regression. The data of this paper are based on the first two rounds of survey data from Chinese Panel Study of Entrepreneurial Dynamics.

The empirical results show that entrepreneurial growth aspiration has significant positive effects on the business planning, namely, compared to the comfortable size entrepreneurs, the growth-oriented entrepreneurs are more likely to do the business planning in the new venture emergence. Different from prior discoveries, the innovativeness of opportunity has no effect on the business planning, but it positively influences the time of doing business planning, and entrepreneurial growth aspiration has a positive moderate effect on this relationship.

Entrepreneurial growth aspiration in this paper is divided into growth-oriented entrepreneur and comfortable size entrepreneur from the single perspective of scale. Future research should define growth aspiration as a continuous variable in light of several dimensionalities.

The findings are useful for entrepreneurs to make rational and effective decisions whether to do business planning and when to do on the basis of their growth aspiration and the innovativeness of opportunity. The growth-oriented entrepreneur should do the business planning in the new venture emergence. The higher innovative the opportunity is, the latter the entrepreneur had better do the business planning. Besides, it provides the theoretical foundation for entrepreneurship training courses about business planning offered by governments, educational institutions and social training institutions.

This paper absorbs growth aspiration into the analysis framework about business planning based on expectancy theory, making up for deficiencies that prior researches excessively focus on entrepreneurial experience and opportunity. Additionally, the study will inspire scholars to research the mechanism of action relative to business planning from the interactive relationship between entrepreneur and entrepreneurial opportunity.

The purpose of this paper is to bridge the obvious gap presented in research on antecedents of effectuation by building a research model from the perspectives of effectuation and entrepreneurial opportunity.

This paper examines the effects of patterns of opportunity discovery and the innovativeness of entrepreneurial opportunity on the decision-making process of effectuation in new venture creation. Eight hypotheses are put forward and examined by hierarchical multiple logistic regression. The data in this paper are based on the first two rounds of survey data from Chinese Panel Study of Entrepreneurial dynamics.

The empirical results show that patterns of opportunity discovery have significant positive effects (at least partially) on effectuation. Namely, entrepreneurs employing fortuitous discovery tend to use available means and leverage contingency. And with lower innovativeness of opportunity, entrepreneurs are more likely to use affordable loss and leverage contingency.

The study is limited to each dimension of effectuation based on the single-item measure, which cannot completely reflect the effectual construct. More research should to be done to improve measures of effectuation.

The findings are useful for entrepreneurs to make effective decisions whether to choose effectuation in the face of different patterns of opportunity discovery. Besides, it provides the advice on how to cope with the innovativeness of opportunity and seize entrepreneurial opportunities to entrepreneurs.

This paper first systematically studies the effects of entrepreneurial opportunity on effectuation, making up for the obvious gap of research on antecedents of effectuation.

Taking entrepreneurial opportunity identification activity as a starting point, the purpose of this paper is to provide insight into the differences within the social background of the Chinese nascent entrepreneurs and to illuminate differences in the success of their economic activities.

This study will analyze the impact of the nascent entrepreneurs' social class identity and prior experience affiliation on entrepreneurial opportunity identification and the moderation effect of opportunity identification modes. The empirical study was conducted with the data from the “Chinese Panel Study of Entrepreneurial Dynamics (CPSED)” project, especially targeting new technology venture samples.

The findings indicate that the social class identity and prior experience affiliation of nascent entrepreneurs (pre‐determined factors) have a significant impact on the innovativeness of their entrepreneurial identification. Because they determine opportunity identification results, these pre‐determined factors play a much more important role than the mode of the opportunity identification.

The findings provide a theoretical contribution to the transitional study with the unique data of the CPSED project. This study could be taken as the comparison for transnational cooperation and provides suggestions to government and entrepreneurship supporting agencies.

The purpose of this paper is to build a research model to examine the effects of business planning on the new venture emergence, as well as to examine the moderating effects of innovativeness of products.

Four hypotheses are put forward and examined by hierarchical binary logistic regression. The data of this paper are based on the first two waves of data from Chinese Panel Study of Entrepreneurial Dynamics project.

Results show that engaging in business planning has a positive effect on the new venture emergence, and the timing of business planning does not affect the new venture emergence significantly. This study also finds that the innovativeness of products has a positive moderating effect on the relationship between the timing of business planning and the new venture emergence.

This study has some limitations. The innovativeness of products is measured by a single indicator, which may not completely reflect the meaning of the attribute. Moreover, this study explores new ventures only in the nascent stage.

The study is useful for entrepreneurs to realize the importance of business planning. First, engaging in business planning in early start-up stage is a very valuable activity, because business planning can help new ventures reduce the loss caused by trial and error learning. Second, engaging in business planning is more likely to ensure high innovative products quickly be accepted by the market. Because in the process of new venture emergence, the legitimacy signal to stakeholders can be transmitted and new products can be promoted to get support and recognition from stakeholder through the business plan.

This paper focuses on the early stage of new venture life cycle and the contextual factors to explore the influence of business planning on the new venture emergence under the logic of legitimacy. This paper could enrich business planning research from the perspective of legitimacy theory by inspiring scholars to focus on the differences between new ventures and mature enterprises and to offer proposals of legitimation strategies suitable for new ventures. Meanwhile, this study contributes to the understanding of the contextual factors of business planning. And it discusses the impact of the attribute in business planning on the new venture emergence, which helps scholars to get a deep thought about the value of business planning in entrepreneurial process.

High failure rates characterise the experience of new entrepreneurial ventures in Nigeria and other emerging economies. Reliance on strategic tools such as entrepreneurial orientation (EO) is critical to the growth and survival of new ventures. This empirical study aims to deepen the understanding of the relationship between EO and performance of new venture logistics firms in Nigeria. It further explores the contingent effects of social capital and marketing capabilities on the hypothesised direct relationships from a transport industry perspective.

Managers of 650 new venture logistics service providers in selected Nigerian cities were Web-surveyed. Exploratory and confirmatory factor analyses were performed. Regression analysis was further performed. Common method variance and other validity checks were assessed.

The 469 valid responses showed a positive relationship between EO and new venture performance (NVP). Social capital and marketing capabilities positively moderate the direct relationship between EO and NVP. Managerial implications suggest that context-specific dynamics must be considered when making strategic EO decisions to aid firm growth and survival.

This study directly responds to the contingency approach recommendation of past studies (Anwar et al., 2022; Van Stel et al., 2021; Covin and Wales, 2019) using the logistics service and emerging economy context. It also introduces social capital and marketing capabilities as moderators.

The purpose of this paper is to compare influential factors of entrepreneurial activities over time in China and to compare China with other selected countries. The data are collected from Global Entrepreneurship Monitor (GEM). The method used is decision trees and chi-square automatic interaction detector (CHAID) analysis, which isolates important factors and examines entrepreneurship predictor importance.

The method used is decision trees and CHAID analysis which isolate important factors and examine entrepreneurship predictor importance. The original contribution of this paper is that this is the first time where artificial decision trees are applied to data to isolate factors that influence business startups and used across countries for comparative purposes. It is also the first application of this model to Chinese GEM. CHAID trees and predictor importance show the value of motivations of people who have already started businesses and shed light on how public policy can be influential in promoting entrepreneurship.

Results indicate that solid knowledge and skills of how to start a business and knowing someone who has already started a business are the most important factors in China and in most of the selected countries. Fear of failure is becoming less important for Chinese entrepreneurs over the years from 2003 to 2012. Results show that countries, including China, have to enhance skill and knowledge education if they want to promote small business entrepreneurship as a policy. The findings support human capital theory.

The limitations of this study are due to using aggregated data from GEM surveys, which do not allow the authors to examine individual or household behavior. The authors do not know the variance and the distribution of responses to the questions asked and the locations in which the surveys were conducted. Another limitation is that GEM data do not report regional variations which can be modeled. For future work, the authors suggest more detailed data availability which will lead to isolating entrepreneurial problems and highlighting relevant attitudes important to entrepreneurs.

Better data collection is needed at household and regional levels to understand business starts and to promote entrepreneurship.

Social implication of this research is to find out effective ways to increase entrepreneurial activities, therefore creating job opportunities and boosting economic growth. Educational programs will also decrease disparity of opportunity and incomes between different geographical regions in the country. The original contribution of this paper is that this is the first time artificial decision trees are applied to data to isolate factors that influence business startups across countries.

The original contribution of this paper is that this is the first time where artificial decision trees are applied to data to isolate factors that influence business startups and used across countries for comparative purposes. It is also the first application of this model to Chinese GEM. CHAID trees and predictor importance show the value of motivations of people who have already started businesses and shed light on how public policy can be influential in promoting entrepreneurship. This research modeled the breakdown of reasons people would start a business by using GEM data surveys.

This paper aims to explore the effects of two drivers, namely, the received fundings and its interaction with the specialized competences owned by the managerial board, on the R&D activities performed by start-ups.

This paper tests hypotheses on a sample of 405 innovative start-ups established in Italy and registered into the Chamber of Commerce official database. This study uses the R&D expenses as a measure of the innovative performance of start-up, and the authors also collected the number and total amount of grants received by them and the presence of high qualified team in their management board.

The analysis reveals that both the number and total amount of grants received by start-ups positively impact the innovative performance. The same is for the integration of the total amount of grants with the presence of high qualified team in the management board.

This study did not distinguish between different types of grants adopted by start-ups, while it would be interesting to study whether any difference does exist among them in terms of their influence on innovative performance. Also, this paper considers the total number of specialized people in the team while it would certainly be interesting to analyze people’s background and competences in relation to the innovative performances.

This paper allows us to offer some provisional conclusions such as having funds in the preliminary phase of start-up life cycle, and investments mainly for R&D expenses. The start-up must also leverage its skills and therefore it is necessary to invest in human capital.

Findings suggest that policymakers should introduce integrated measures to support start-ups throughout the entire life cycle, from the creation of the idea to incubation up to industrial consolidation.

This paper focuses on the determinants of start-up innovative performance because both external (such as political, economic, social and technological) and internal (such as organizational) influencing factors have to be considered as crucial for start-ups innovation and growth. Finally, this study is one of the few attempts exploring the phenomenon by using an empirical methodology based on real and certificated data.

This paper aims to analyze how different experts in entrepreneurship perceive their surrounding environment and business opportunities. The authors suggest that people act the way they do not only because of different interpretations of the environment but also because of the relative importance they give to the context and themselves in their mental scripts.

A Mann–Whitney U non-parametric test and principal component analysis were conducted to examine the national expert survey from the global entrepreneurship monitor database of Chilean exports.

When experts in entrepreneurship are compared, entrepreneurs and non-entrepreneurs differ in their use of certain cognitive resources about past or current events, but they map out future situations similarly, suggesting that their mental simulations may converge into similar patterns.

This study provides useful insights regarding the impact that mental representation has on experts’ perception, by discussing how experts who are entrepreneurs perceive the entrepreneurial ecosystem and current opportunities differently than experts who are not entrepreneurs. The specific context plays a key role in the way entrepreneurs and non-entrepreneurs analyze their surrounding environment but not necessarily opportunities.

Small firms in China anticipate entrepreneurial opportunities for continual growth. However, they may fail to recognize opportunities because of their inefficiency in managing their knowledge.

In this explorative paper, the authors assess the opportunity recognition efficiency of 168 small Chinese firms using data envelopment analysis (DEA). Supplementary Tobit regressions were conducted for further exploring the factors that influence the firms’ efficiency in opportunity recognition.

Results from the DEA suggest that most respondents recognize significantly fewer opportunities than those with equivalent knowledge stock. Moreover, many firms have low levels of pure technical efficiency but high levels of scale efficiency, indicating insufficient use of knowledge as a major reason for inefficiency in opportunity recognition. The Tobit regressions show that sales and research and development intensity are relevant to a firm’s opportunity recognition efficiency.

This study calls for the investigation of efficiency issues in opportunity recognition and suggests that managers guard against unwarranted loss of opportunities owing to inefficient use of existing knowledge elements.

First, the authors introduce the concept of opportunity recognition efficiency within the entrepreneurial process. Second, they manifest the role of knowledge management in opportunity recognition. Third, they introduce DEA to investigate the relationship between knowledge stock and opportunity recognition. Fourth, this study reveals that inefficient use of knowledge is a disadvantage of small Chinese firms in terms of opportunity recognition.