New Venture
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Author(s):  
Xiao Hu ◽  
Jiayi Wang ◽  
Banggang Wu ◽  
Taiyang Zhao
Keyword(s):  

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Hao Ji ◽  
Wencang Zhou

Abstract Many new ventures are founded and developed by teams rather than solo entrepreneurs. Therefore, the extent to which entrepreneurs identify with their teams is likely to have an important impact on the process and outcome of new venture creation in new venture teams. However, most of the relevant studies focus on entrepreneurs’ individual identity, and the identity at the team level has been overlooked. This study seeks to fill this gap by exploring the effect of collective team identification on new venture performance. The relationship between collective team identification and new venture performance was examined using a sample of 54 new venture teams in Internet Technology (IT) industry. The results show that the relationship between collective team identification and new venture performance is inverted U-shaped. Moreover, environmental uncertainty may moderate this curvilinear effect, such that this inverted U-shaped relationship is more salient at a low level of environmental uncertainty rather than at a high level of environmental uncertainty.


2021 ◽  
Author(s):  
Zhengli Wang ◽  
Stefanos Zenios

A Model for New Venture Creation New ventures go through multiple stages: In the early stage, there is a business concept and preliminary evidence supporting the concept. In later stages, there are revenues and sales. In each stage, there are usually milestones for the venture to meet in order for investors to provide additional funding. Otherwise, the venture is abandoned. The entrepreneur can engage in a set of costly activities that aim to create value and reach the appropriate milestones. In “New Venture Creation: A Drift-Variance Diffusion Control Model,” Wang and Zenios develop a framework for new venture creation. The authors provide theoretical guidance on the optimal policy, which is relatively simple to describe. Their analysis reveals a trade-off between how costly an activity is and how much upside potential the activity generates, and their result shows how a new venture creator can manage that trade-off.


2021 ◽  
Author(s):  
Rajshree Agarwal ◽  
Martin Ganco ◽  
Joseph Raffiee

We examine how institutional factors may affect microlevel career decisions by individuals to create new firms by impacting their ability to exercise entrepreneurial preferences, their accumulation of human capital, and the opportunity costs associated with new venture formation. We focus on an important institutional factor—immigration-related work constraints—given that technologically intensive firms in the United States not only draw upon immigrants as knowledge workers but also because such firms are disproportionately founded by immigrants. We examine the implications of these constraints using the National Science Foundation’s Scientists and Engineers Statistical Data System, which tracks the careers of science and engineering graduates from U.S. universities. Relative to natives, we theorize and show that immigration-related work constraints in the United States suppress entrepreneurship as an early career choice of immigrants by restricting labor market options to paid employment jobs in organizational contexts tightly matched with the immigrant’s educational training (job-education match). Work experience in paid employment job-education match is associated with the accumulation of specialized human capital and increased opportunity costs associated with new venture formation. Consistent with immigration-related work constraints inhibiting individuals with entrepreneurial preferences from engaging in entrepreneurship, we show that when the immigration-related work constraints are released, immigrants in job-education match are more likely than comparable natives to found incorporated employer firms. Incorporated employer firms can both leverage specialized human capital and provide the expected returns needed to justify the increased opportunity costs associated with entrepreneurial entry. We discuss our study’s contributions to theory and practice.


2021 ◽  
Vol 29 (04) ◽  
pp. 295-323
Author(s):  
Muhammad Anwar ◽  
Thomas Clauss ◽  
Rizwan Ullah

The failure ratio of new ventures across the globe pushes researchers towards finding solutions, but the response is not effective. This research project surveyed 297 new manufacturing enterprises from China to find factors that significantly contribute to the success of new ventures. The results indicated that intellectual capital significantly sustains performance and sustainable competitive advantage in new ventures. The relationship between intellectual capital and new venture performance is partially mediated by a sustainable competitive advantage. Information technology capabilities do not positively impact new venture performance and competitiveness. Entrepreneurial orientation has a significant influence on differentiation strategy and new venture performance. Sustainable competitive advantage does not mediate the path between entrepreneurial orientation and new venture performance, but it fully mediates the association between market orientation and new venture performance. This study recommends that new enterprises focus on intellectual capital, entrepreneurial orientation, and market orientation to acquire a sustainable position in the competitive market. New ventures should also evaluate their technological capabilities to understand why they do not play a vital role. Further implications have been stated.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tiannv Ma ◽  
Siying Yang

Purpose This study aims to examine how entrepreneurial orientation affects new venture performance in a dynamic environment. The authors examine whether entrepreneurial bricolage and opportunity recognition mediate the effect of entrepreneurial orientation on new venture performance and whether environmental dynamics moderate the above effects. Design/methodology/approach This study uses questionnaires to collect data. The sample includes responses of managers from 274 new Chinese ventures. Regression analysis and bootstrapping are used to test the hypotheses. Findings Entrepreneurial bricolage and opportunity recognition play mediating roles between entrepreneurial orientation and new venture performance. Environmental dynamism positively moderates the relationship between opportunity recognition and new venture performance. Practical implications In a dynamic environment, new ventures should strengthen their entrepreneurial orientation, which would gradually improve their performance by improving their entrepreneurial bricolage and opportunity recognition ability. Originality/value This study innovatively explains the relationship between entrepreneurial orientation and new venture performance from the perspectives of “flexible solutions to current problems” and “discovering and grasping potential new opportunities.” It does so by using the concepts of entrepreneurial bricolage and entrepreneurial opportunity identification in the context of a dynamic environment.


2022 ◽  
Vol 12 (1) ◽  
pp. 1-14
Author(s):  
Parmeet Kaur ◽  
Sanya Deshmukh ◽  
Pranjal Apoorva ◽  
Simar Batra

Humongous volumes of data are being generated every minute by individual users as well as organizations. This data can be turned into a valuable asset only if it is analyzed, interpreted and used for improving processes or for benefiting users. One such source that is contributing huge data every year is a large number of web-based crowd-funding projects. These projects and related campaigns help ventures to raise money by acquiring small amounts of funding from different small organizations and people. The funds raised for crowdfunded projects and hence, their success depends on multiple elements of the project. The current work predicts the success of a new venture by analysis and visualization of the existing data and determining the parameters on which success of a project depends. The prediction of a project’s outcome is performed by application of machine learning algorithms on crowd-funding data stored in the NoSQL database, MongoDB. The results of this work can prove beneficial for the investors to have an estimate about the success of a project before investing in it.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
R. Gabrielle Swab ◽  
Aviel Cogan ◽  
Tobias Pret ◽  
David R. Marshall

Abstract This study theoretically and empirically examines the important role that goal structures play in new venture teams. Specifically, we examine how creative self-efficacy affects the satisfaction of team members through cooperative and competitive goal interdependence. Relying on social cognitive and social interdependence theories, we contend that new venture teams’ creative self-efficacy leads to higher team satisfaction because it promotes the perception of cooperative goal structures among team members. We test our theory on new venture teams in the independent board game industry. Results generally support our hypotheses and we discuss the implications for entrepreneurship research and practice.


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