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Entrepreneurial orientation (EO) is an exploratory orientation because its dimensions such as innovativeness, proactiveness and risk-taking are the essence of exploration that entails uncertain returns. While literature suggests firms might need to counterbalance and complement EO with another orientation for organisational success, research on this area remains limited. Drawing on organisational learning theory, the purpose of this article is to explore whether and how the EO dimensions and organisational ambidexterity complement each other to enhance new product performance. More specifically, the authors explore the configurations of innovativeness, proactiveness, risk-taking and ambidexterity for superior new product performance under different levels of market turbulence.

Based on a configurational perspective, the authors applied fuzzy set qualitative comparative analysis (fsQCA) on a sample of 88 small and medium-sized firms from the UK. Using fsQCA allows the authors to uncover the potential complementary role between the EO dimensions and ambidexterity for superior new product performance.

The results of this paper reveal three configurations that are sufficient to produce superior new product performance. The results suggest that the EO dimensions and ambidexterity can complement each other to enhance new product performance. Further, under the turbulent market environment, the EO dimensions are also sufficient to produce superior new product performance.

By adopting a configurational perspective using fsQCA, the study provides a more holistic understanding of how the EO dimensions work together to influence new product performance. It also contributes to the literature by uncovering the complementary role of the EO dimensions and ambidexterity in shaping new product performance.

The purpose of this paper is to investigate funders' decisions in supporting reward-based crowdfunding (RBCF) in the creative industries by providing insights into the role of trust in the decision-making process of funders. In doing so, the authors examine how trust is developed through online interaction.

Data were collected from interviews and participation at short-term immersive events and gatherings. In addition, data were gathered from online discussions and social media platforms related to RBCF campaign. Qualitative analysis was performed to offer a deeper understanding of funder decision-making processes.

New insights were revealed into funder decision-making processes. Using foraging practices, funders participating in RBCF campaigns build trust before framing their final funding judgments. The paper’s findings highlight the interplay of organizational competency with previously uncharted relational dimensions associated with funder decision-making processes. The authors also revealed how nascent and experienced funders differ in their evaluation of risk.

This study offers an understanding of funder decision-making processes in creative RBCF campaigns. Their support of RBCF campaigns in the creative industries can present some potential risks. Further investigation is still required to reveal the funder's decision-making process. By looking at the roles of trust, the authors provide a conceptualization of competence and the relational dimension of trust, and how trust is developed as a means for mitigating risk.

Many scholars analyse networks and learning to understand how individuals successfully create and manage new ventures. Based on the assumption that entrepreneurs learn from networks, the purpose of this paper is to examine which types of difficulties encourage entrepreneurs to use networks to facilitate learning, whether entrepreneurs change networks to deal with such difficulties, and which network characteristics facilitate learning.

Networks are considered a potential source of learning, namely, the cognitive process of acquiring and structuring knowledge, creating meaning from experience and generating new solutions from existing knowledge. Through networks, entrepreneur share information and discuss opportunities and problems. Using an innovative approach combining story telling and network mapping, this study analyses how entrepreneurs use networks in learning. The data collected from six entrepreneurs working in knowledge-intensive sectors enables examining the learning process ensuing from the interactions between entrepreneurs and their contacts.

The findings show that entrepreneurs construct different types of networks in response to their difficulties, not in relation to products or technologies, but to learn to overcome self-crises, external threats, management and organisational issues. The findings reveal that entrepreneurs develop networks dominated by strong ties for exploitative learning and networks dominated by weak ties for explorative learning.

This study contributes to literature on networks and entrepreneurial learning. More specifically, the study provides evidence of learning in the context of networks, which is a relatively overlooked area in entrepreneurship literature, identifying the role of difficulties in determining the type of learning through networks and the related mechanisms.

For a new technology-based firm, the ability to learn is crucial to their growth process. However, firms constantly face the challenge of maintaining the ambidexterity of two different learning activities, namely learning by exploiting existing competencies and learning through exploring new ones. The purpose of this study is to examine how small technology-based firms at incubators perform both activities. Using the index of network openness, we argue that firms perform ambidexterity by maintaining a balance between a high and low level of network openness. Our first hypothesis was constructed as firms pursuing explorative learning will develop a high level of network openness while those pursuing exploitative learning will develop a low level of network openness. In the second hypothesis, we argue that firms need to balance network openness. Developing too low level of network openness will not add more benefits as the cost for maintaining relationship increases. Similarly, developing too high level of openness may potentially hinder firms’ progress as firms face distractions and difficulties in maintaining a wide variety of relationships. Using the empirical data from new technology-based firms located at the Daresbury SIC, we confirm the hypotheses. The result also found a trend of a curvilinear relationship between network openness and the firms’ performance which confirm the second hypothesis. The overall findings have illustrated how a network has a positive impact on helping small and new technology-based firms perform learning ambidexterity.

Over the years, the above advantages have gained wide recognition in such a way that fostering spin-offs has become part of most universities’ and research centers’ policy. Among the many ways of accelerating the growth of USOs, perhaps the most captivating one is establishing incubator organizations. The networks of incubators have been built gradually in industrialized regions such as the United States and in Western Europe over the past two decades and now have reached maturity (Lalkaka, 2003). The first generation of incubators in the 1980s essentially only offered affordable office facilities to potential new ventures, including shared services, and soft loans. As time progressed, it was realized that the needs of spin-offs included more than just physical and financial support. This situation has challenged some incubators to change into providers of “added-value support,” such as business skills training and connecting the entrepreneurs to various networks.

Drawing on the social cognition theory, the purpose of this research is to explore how selected individual and organizational determinants, namely individual academic output (AO) and previous commercialization experience, organizational scientific reputation and entrepreneurial support policies (ESPs) influence their broadly-defined academic entrepreneurial intentions, involving spin-off intention (SOI), patenting and licensing intention (PLI), contract research and consulting intention (CCI) through theory of planned behaviour (TPB) modelling.

The current research constructs the framework by combining reciprocal determinism in the social cognition theory with TPB. To testify the hypotheses, partial least squares structural equational modelling (PLS–SEM) technique with 272 observations from Chinese universities was utilized.

The findings show that academic-related determinants, namely individual AO and organizational reputation (OR), are more likely to influence academic scientists' SOI through TPB modelling, while entrepreneurial-related determinants in terms of individual previous commercialization experience (PCE) and ESPs in higher education organizations are more influential for promoting behavioural intention to all kinds of academic entrepreneurship activities through TPB modelling. The more formal academic entrepreneurship involvement (engaging in creating spin-offs) is better explained through TPB modelling, especially the continuous mediating effects of subjective norms and entrepreneurial attitude and perceived behavioural control are more effective on spin-off activities. In addition, subjective norms are more influential in mediating relationships between individual or organizational antecedents and academic entrepreneurial intentions in the Chinese context.

Combining the social cognition theory and TPB, this study first investigated how individual intentions to engage in broadly-defined academic entrepreneurial activities are promoted through TPB modelling. The results, relating to the divergence of different determinants shaping different academic entrepreneurial intentions through various paths in TPB modelling, will provide insight into university managers and policymakers to improve academic entrepreneurship engagement in the Chinese context.

The purpose of this paper is to investigate the effect of inclusive leadership on team climate. Drawing on the social exchange theory (SET), this study proposes a theoretical model in which (1) inclusive leadership enhances team climate, (2) the moderating effect of team power distance and trust in leadership in the relationship between inclusive leadership and team climate.

A quantitative research method was applied, with a survey of 247 Nigerian employees nested in 59 teams in multiple small manufacturing firms across diverse industries widely distributed into textile, furniture, bakery and palm oil production firms. The partial least square structural equation modelling was used to test the study's proposed hypotheses.

The results revealed that inclusive leadership has a positive and direct effect on team climate. Also, this study found that (1) team power distance positively influences the relationship between inclusive leadership and team climate; and (2) trust in leadership positively influences the relationship between inclusive leadership and team climate.

This study affirms the explanatory power of SET to investigate inclusive leadership and team climate at the team level. Also, the study utilised the SET to confirm the significance and value of team power distance and trust in leadership in the relationship between inclusive leadership and team climate at the team level in the Nigerian context.

The paper examined the relationship between inclusive leadership and team climate with team power distance and trust in leadership as moderators. The findings suggest that inclusive leadership play a paramount role in understanding team climate among small manufacturing firms. Moreover, the findings can be applied in organisations by creating different assessment mechanisms, e.g. webinars and training sessions, to encourage effective inclusive leadership behaviours in fostering a team climate for creativity and innovation.

The main contribution of this current research to knowledge is on the examination of the distinctive leadership style that influences team climate. The study indicates that when team members are allowed to fully contribute to the team, inclusion is promoted among group members, and trust in leadership is strengthened, which increases their perception of team climate within organisations.

The current understanding of building information modelling (BIM) adoption often neglects the industry context in which BIM is deployed. This is particularly problematic when policymakers are planning to enact top-down policies to promote BIM adoption in public-funded construction. Therefore, the aim of this study is to establish the industry-level factors that constraint or enable actors' intention to adopt BIM.

Using institutional theory with an emphasis on the cultural-cognitive elements, the authors aim to complement the understanding of BIM adoption by incorporating institutional elements into the unified theory of acceptance and use of technology (UTAUT). The cultural-cognitive elements were extracted from focus groups and interviews with architecture, construction and engineering (AEC) professionals in Peru. A modified UTAUT was empirically tested using confirmatory factor analysis (CFA) and structural equation modelling (SEM) with a dataset from 171 questionnaire responses.

The industry characteristics, standardisation, affordability and technology/methodology definition of BIM were found to be the cultural-cognitive elements having direct effects on individual reactions to BIM. These findings suggest that BIM adoption policies should focus on designing incentives schemes, training/educating professionals on BIM collaborative processes and developing/adapting applicable standards. However, a BIM adoption mandate would require policymakers to create collaborative procurement environments in tandem with information management and process standards.

Findings can be used by policymakers to significantly promote BIM adoption in contexts without a government mandate for public sector construction.

The study of institutional elements on BIM adoption is still limited. This study provides empirical evidence on how the cultural-cognitive elements of the industry context are associated with actors' intention to adopt BIM. Therefore, this study bridges industry and individual levels of analysis. Furthermore, this study enables policymakers to initiate actions that significantly encourage BIM adoption.