Entrepreneurial Teams Research Articles

Unraveling the dark side of resilience: entrepreneurial resilience diversity in new venture teams and entrepreneurial performance

PurposePrevious studies may have overstated the benefits of entrepreneurial resilience while neglecting its potential adverse effects, especially in the context of team entrepreneurship. This study focuses on the structural characteristics of resilience, entrepreneurial team resilience diversity, to delve into the potential dark side effects of entrepreneurial resilience. Drawn upon the similarity-attraction theory, this study investigates the detrimental impact of entrepreneurial team resilience diversity on entrepreneurial performance from the team-member exchange (TMX) perspective, which describes the reciprocal relationships within a team and the moderating effect of environmental hostility.Design/methodology/approachThe study collected data by conducting a two-wave survey. With the assistance of officials from entrepreneurship service agencies, entrepreneurship parks and entrepreneurship training institutions in southeast China, this study collected survey data from 361 participants of 91 entrepreneurial teams. The current research conducted empirical tests with SPSS and PROCESS macro to test the hypotheses.FindingsEmpirical results from a two-wave survey of 91 entrepreneurial teams in China reveal the detrimental effects of entrepreneurial resilience. In the context of team entrepreneurship, the diversity of a team’s entrepreneurial resilience negatively impacts entrepreneurial performance by impairing the quality of TMX. Moreover, the indirect effect of TMX is strengthened in more hostile environments.Originality/valueExisting studies have mainly focused on the positive side of resilience. However, based on the similarity-attraction theory, this study explores the potential adverse effects of the structural characteristics of entrepreneurial team resilience from the perspective of team-member exchange (TMX). This study enriches the literature on resilience by demonstrating how resilience functions in new venture teams and challenges the assumption that resilience is universally beneficial to entrepreneurs. Introducing team members with high resilience in a hostile environment may not always benefit the team, deepening the understanding of entrepreneurial resilience when confronting adversities.

The Investment Evaluation Standards and Process of Venture Capital Industry in Taiwan: Taking T Venture Capital Company as an Example

Abstract The venture capital industry is characterized by high risk and high reward, demanding sharp market insight and strong assessment capabilities. This article examines the evaluation criteria used by T Venture Capital Company in selecting investment targets, offering a reference for the industry. The study utilizes a case study method, focusing on an experienced venture capital firm identified through the Taiwan Venture Capital Association's 2022 roster. Key findings from interviews and document analysis highlight five main criteria used by T Company: 1. Adjusting evaluation based on the investment stage and industry specifics. 2. Focusing on the entrepreneurial team’s background, skills, passion, and vision. 3. Prioritizing technological innovation and business model sustainability. 4. Ensuring a clear exit strategy with ongoing communication. 5. Conducting thorough due diligence for sound investment decisions. The study reveals that T Company relies on a mix of data, judgment, and flexibility in its decision-making process, adapting to each unique situation. Keywords: Venture Capital, Evaluation Criteria, Entrepreneurial Team, Technological Innovation, Due Diligence.

Love or Collegiality? How Growth Aspirations Influence Relational Capital in Entrepreneurial Teams

Love or Collegiality? How Growth Aspirations Influence Relational Capital in Entrepreneurial Teams

Staying Ablaze - Passion Regulation in Failing and Non-Failing Entrepreneurial Teams

Staying Ablaze - Passion Regulation in Failing and Non-Failing Entrepreneurial Teams

Functional heterogeneity in digital entrepreneurial teams and pivoting: the role of digital agility

Functional heterogeneity in digital entrepreneurial teams and pivoting: the role of digital agility

The Mediating Effect of Entrepreneurial Team Behavior and Transformational Leadership in the Relationship between Corporate Entrepreneurship and Firm Performance

This study explores the relationship between corporate entrepreneurship and firm performance, focusing on the mediating roles of entrepreneurial team behavior and transformational leadership. A quantitative study was developed using a descriptive design. Data were collected from 400 white-collar employees working in companies within an organized industrial zone in Turkey. The hypotheses were tested using regression analysis. The analyses were conducted using SPSS 23. The research explores the relationships between corporate entrepreneurship, firm performance, entrepreneurial team behavior, and transformational leadership. Findings indicate significant relationships between corporate entrepreneurship and firm performance, mediated by entrepreneurial team behavior and transformational leadership. This study contributes to the existing literature by providing insights into how corporate entrepreneurship influences firm performance. Examining the mediating roles of entrepreneurial team behavior and transformational leadership offers a nuanced understanding of the factors driving organizational success.

E-Learning system application in art entrepreneurship teaching based on multimodal feature fusion and neural network

College student entrepreneurship teams can leverage the advantages of mobile internet resource integration and online collaborative production platforms to easily integrate various resources, thereby achieving rapid start-up and development of entrepreneurial projects. This also makes the threshold for college students to start businesses lower and easier to achieve. This article designs an interactive aesthetic education and entrepreneurship teaching system based on multimodal feature fusion and interactive systems. The core concept of the interactive aesthetic education and entrepreneurship teaching system is multimodal feature fusion and interactive system. Multimodal feature fusion can integrate different teaching resources, so that students can better understand the factors that need to be considered in the entrepreneurial process and practice. Interactive systems can enable closer interaction and communication between students and teachers, thereby better understanding and mastering entrepreneurial knowledge and skills. The design and implementation of a systematic system will help enhance the entrepreneurial ability and quality of college students, help them better understand the entrepreneurial process and factors that need to be considered in practice, and provide entrepreneurial practice reference for students in Chinese universities who have the intention of designing entrepreneurship.

Entrepreneurial collective efficacy and team effectiveness in new venture teams: an investigation of moderated mediation mechanisms

Purpose Based on the collective agentic perspective of social cognitive theory and supplemented by social support theory, this study aims to investigate how the entrepreneurial collective efficacy of entrepreneurial teams impacts team effectiveness. Specifically, this study hypothesizes that entrepreneurial collective efficacy is a critical factor affecting effectiveness through the mechanism of instrumental support to varying extents, depending on team size. Design/methodology/approach The hypotheses were tested on a Chinese sample of new venture teams (N teams = 81; N individuals = 335). A multisource questionnaire that included questions for team leaders and other team decision makers was designed. The data on entrepreneurial collective efficacy (six items) and instrumental support (four items) comprised the aggregate responses from all team members; the data on team effectiveness (seven items) was reported by team leaders. Findings The findings indicate that entrepreneurial collective efficacy is positively associated with team effectiveness through instrumental support, especially in small teams. Originality/value This study makes important contributions to the research related to exploring in uncertain environments (entrepreneurship) how (instrumental support) entrepreneurial collective efficacy impacts team effectiveness, as well as more particularly under what conditions (team size), all within the specific context of collectivistic cultures (China).

Scalability of startups: the impact of entrepreneurial teams

Scalability of startups: the impact of entrepreneurial teams

Green entrepreneurship orientation and environmental, social, and governance performance: Do contractual strategic alliances matter?

AbstractThe driving forces that enable firms to achieve better environmental, social, and governance (ESG) performance have been a popular topic in academia. However, in the context of increasing numbers of entrepreneurial teams engaging in green entrepreneurship, whether a green entrepreneurial orientation (GEO) enhances ESG performance from an overall strategic orientation is still unclear. If so, what are the mechanisms by which a GEO influences ESG performance? To determine the potential relationship and influencing mechanism between a GEO and ESG performance, we use Chinese listed firms from 2009 to 2022 as our research sample and fixed effects and difference‐in‐difference models to explore how a GEO affects ESG performance. The results show that a GEO significantly and positively affects ESG performance, especially for nonstate‐owned enterprises (nonSOEs), firms with high digital transformation, and firms in the manufacturing industry. Further research shows that participation in contractual strategic alliances (SAs) can strengthen the effect of a GEO on ESG performance. Moreover, we find that a GEO can efficiently encourage firms to engage in contractual SAs, that the link between the two is moderated by financial constraints (FCs) in an inverse‐U manner, and that this relationship is evident only for nonSOEs. In conclusion, our study provides a nuanced understanding of how a GEO, contractual SAs, and FCs collectively shape corporate ESG activities and elucidates their far‐reaching implications for enhancing ESG performance. Our empirical findings also have practical implications for firms seeking to improve their ESG performance.

Equity split evolution in entrepreneurial teams: Assessing financial contributions and human capital

ABSTRACT Proper equity splits play a vital role in the success of entrepreneurial teams, yet the literature lacks a comprehensive understanding of their evolving nature. This study addresses this gap by analyzing the dynamic and evolutionary process of equity splits using longitudinal data. Through the development of a game-theory model incorporating human-capital signals, we illuminate the impact of these factors. Utilizing data from the Kauffman Firm Survey and employing fixed- and mixed-effects modeling, we uncover significant findings. Initially, financial contributions shape equity splits, but their influence diminishes as hidden human capital gains prominence. Education attainment and work experience have no direct effect, while prior entrepreneurial experience influences the initial year but not subsequent equity resplitting. Our research offers practical insights for making informed equity-split decisions in the early and later stages of ventures. Nonetheless, it’s important to note some limitations in our research stemming from the lack of information on individual entrepreneurs’ performance within entrepreneurial teams, which could enrich the measurement of hidden human capital.

The Impact of Multinational Entrepreneurship Team Structure on Entrepreneurial Products: A case Study of Chinese Entrepreneurs’ Entrepreneurship in the Indonesia Milk Tea Market

The entrepreneurial team is one of the key factors for entrepreneurial success. An excellent entrepreneurial team can effectively integrate resources, overcome difficulties, seize opportunities, and ultimately achieve entrepreneurial goals. The knowledge structure of the entrepreneurial team will affect its understanding and judgment of the target market, which will in turn affect product positioning, design and development of product functions, and product pricing strategies. This study uses grounded theory research methods to process original data and analyze related issues.

Venture capital and the delegation of decision authority in startups: an exploratory study

AbstractWe study the delegation of authority over strategic decisions in startups and how it relates to venture capital (VC) investment through a mixed-methods study. We first show that startups typically centralize decision authority. The extent of delegation is higher if startups are VC-backed. In startups backed by corporate VC investors the aim is to leverage the unique knowledge possessed by entrepreneurial team members in a context characterized by low principal-principal agency costs. In those backed by independent VC investors, the increase in delegation is paired with the emergence of a polyarchy and decoupling between the formal and real organizations. In this situation delegation may serve as a control mechanism aligning the actions of startups with the interests of the VC investors.

Machine Learning Algorithms for Fostering Innovative Education for University Students

Data augmentation with mixup has been proven effective in various machine learning tasks. However, previous methods primarily concentrate on generating previously unseen virtual examples using randomly selected mixed samples, which may overlook the importance of similar spatial distributions. In this work, we extend mixup and propose MbMix, a novel yet simple training approach designed for implementing mixup with memory batch augmentation. MbMix specifically selects the samples to be mixed via memory batch to guarantee that the generated samples have the same spatial distribution as the dataset samples. Conducting extensive experiments, we empirically validate that our method outperforms several mixup methods across a broad spectrum of text classification benchmarks, including sentiment classification, question type classification, and textual entailment. Of note, our proposed method achieves a 5.61% improvement compared to existing approaches on the TREC-fine benchmark. Our approach is versatile, with applications in sentiment analysis, question answering, and fake news detection, offering entrepreneurial teams and students avenues to innovate. It enables simulation and modeling for student ventures, fostering an entrepreneurial campus culture and mindset.

Unraveling the nexus of academic founders and innovation performance: The suppression effect of ownership structure within Sci‐Tech enterprises

AbstractThis paper aims to examine the influence of academic founders on firm innovation performance from the perspective of equity distribution in entrepreneurial teams. Based on the prospectus data of 466 science and technology enterprises that applied for registration on the STAR Market from 2016 to 2020, we use textual analysis to classify founder identities into academic founder, technical founder, and business founder. Our results show that the performance of technical innovation in Sci‐Tech enterprises is optimal for academic founder‐led firms, followed by technical founders, and finally business founders. Ownership structure suppresses the positive direct relationship between the academic founder and innovation performance.

An Application of Innovative Algorithm of Integrated Social Network Analysis with Statistical Lstm Chain Network Analysis (Slstm-Cna) for Entrepreneurial Team Member Selection

Selecting the right members for an entrepreneurial team is a critical step in ensuring the success and viability of a startup venture. Each team member brings unique skills, experiences, and perspectives that contribute to the overall vision and execution of the business idea. The factors such as cultural fit, adaptability, and a shared commitment to the venture's mission and values can foster cohesion and synergy within the team. This paper presents an innovative algorithm for the selection of entrepreneurial team members, Leveraging insights from social network dynamics and LSTM-based predictive modeling, the algorithm aims to identify individuals with the highest potential for contributing to the success of a startup venture. By analyzing social network structures, the algorithm identifies key influencers and connectors within professional networks, thereby facilitating the identification of candidates who possess valuable connections and collaborative capacities. Furthermore, SLSTM-CNA enables the algorithm to forecast future network trends and dynamics, aiding in the selection of team members who can adapt and thrive in evolving entrepreneurial ecosystems. simulated entrepreneurial ecosystem, the algorithm identified individuals with the highest potential for contributing to startup success based on various criteria, including network centrality, connectivity, and predictive network dynamics. For instance, individuals with a centrality score exceeding 0.7 demonstrated a 25% higher likelihood of facilitating valuable connections critical for business growth. Additionally, candidates identified through SLSTM-CNA exhibited a 30% increase in adaptability to changing network structures compared to those selected through conventional methods

The Impact of Social Capital on College Students’ Entrepreneurial Behavior: A Moderated Mediation Model

Entrepreneurial behavior has been substantially addressed in entrepreneurship literature, but the mechanisms by which social capital influences entrepreneurial behavior among college students remain unclear, especially the potential mediating and moderating interplay among them. Therefore, drawing on social capital theory and the Stimulus-Organism-Response (S-O-R) model, this study proposed a moderated mediation model of social capital on entrepreneurial behavior. Sample data were collected via questionnaires from entrepreneurial team members participating in the Innovation and Entrepreneurship Competition in Southwest China. Results showed that (1) social capital has a positive impact on entrepreneurial behavior; (2) entrepreneurial passion partially mediates the relationship between social capital and entrepreneurial behavior; and (3) entrepreneurial risk perception positively moderates the relationship between entrepreneurial passion and behavior and thus enhances the mediating effect of entrepreneurial passion. This study provides insights into the internal mechanism of social capital on entrepreneurial behavior and also offers practical guidance for individuals, universities, and governments.

Implementation of Entrepreneurship Education Management at SMA Negeri 2 Labuapi Lombok Barat

The purpose of this study is to describe the implementation of entrepreneurship education management, its supporting factors and inhibiting factors in SMA Negeri 2 Labuapi. This study used qualitative research with a descriptive approach. Data collection by observation, interviews and documentation. Data analysis by data collection, data reduction, data presentation, and conclusions. Checking the validity of data with triangluasi sources and techniques. The findings of research on the implementation of entrepreneurial education management are identified through five aspects. First, entrepreneurship education planning uses simple planning. Secondly, the organization of the tenth grade teacher provides an introduction to the material, the eleventh grade teacher instills values and entrepreneurial attitudes and the twelfth grade teacher directs the creation of products. Third, the aspect of directing the principal as a leader and teacher provides an example. Fourth, coordination, a school entrepreneurship team was formed. Fifth, aspects of supervision through student product performance and results. Supporting factors are partnerships with the industrial world, alumni, environmental support. Inhibiting factors are lack of student motivation to learn entrepreneurship, limited funding and lack of entrepreneurial practice tools

The Application of Attribute Structured Description and Fuzzy Evaluation Thought in the Construction of Non-state-owned Entrepreneur Team

The Application of Attribute Structured Description and Fuzzy Evaluation Thought in the Construction of Non-state-owned Entrepreneur Team

Research on the Management of College Students' Entrepreneurial Team in the New Situation

This study explores the management challenges faced by college students' entrepreneurial teams in the current dynamic landscape. Examining issues such as unstable organizational structures, capital deficiencies, inadequate performance management, and low entrepreneurial capabilities, the research provides strategic recommendations. These include establishing a rational team management system, enhancing national policies to support entrepreneurship, constructing effective university education systems, and fostering risk prevention awareness among entrepreneurial teams. Implementation of these strategies is expected to empower college student entrepreneurial teams, enabling them to navigate challenges successfully and contribute significantly to both economic development and national progress.