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The purpose of this paper is to examine the impact of social media marketing on new venture performance utilizing Structure-Conduct-Performance (SCP) theory.

A survey approach was employed, and questionnaires were sent out to the representatives of new ventures established in the previous six years at the time of data collection. Measures were adapted from SCP theory and the measurement model examined. A total of 248 responses were analyzed using structural equation modelling (LISREL 11).

The results indicate that social media marketing capabilities have a positive impact on the marketing performance of new ventures through a mediating effect of social media marketing performance. Thus, social media marketing performance affects new venture performance through marketing performance.

This research supports the vitality of social media in the lives of new firms and the importance of social media when executing marketing activities. The perceptive measurement of social media marketing capabilities on the firm level can be useful for new ventures to evaluate their competencies related to social media, and thus help firms improve those capabilities over time.

This research contributes to the existing knowledge on linkages between social media marketing capabilities and new venture performance acknowledging the role of a turbulent market environment. Therefore, the recognition of industry structure articulated by a turbulent market environment, social media marketing capabilities and social media support for competitive marketing strategy answers the question of how social media marketing capabilities drive competitive marketing strategy and subsequently influence performance.

Synthesizing from the institutional theory and social network theory, this study investigates factors influencing green innovation performance in new ventures.

The findings show that the dimensions of internal social network; heterogeneous network and tie strength have significant positive effects on proactive environmental strategy based on a sample of 300 new ventures in China.

The results further support the mediating role of proactive environmental strategy on internal organizational networks and green innovation performance of new ventures. The study further investigated the moderating role of the regulatory quality as a dimension of institutional environment in China. The results show that the regulatory quality positively moderates the relationship between proactive environmental strategy and green innovation performance. Policy and managerial implications are further discussed.

Over the past 20 years, green innovation has increasingly attracted the attention of policymakers and scholars. However, most studies have focused on mature ventures, and little attention has been given to how newly established ventures attain green innovation performance.

Based on a theoretical framework of ambidexterity in technology sourcing beyond organizational and technological boundaries, this study aims to explore how start-ups balance technology sourcing in organizational ambidexterity (TSOA) to produce high venture performance.

A questionnaire survey is distributed among start-ups in the science and technology park of a university in eastern China, producing a total of 45 valid responses. The fuzzy-set approach to qualitative comparative analysis is used in this study.

The findings show that start-ups achieve high venture performance through external technology sourcing (external exploration and exploitation) in the initial stage. In the growth stage, start-ups adopt external and internal technology sourcing (internal exploration and exploitation) to produce high venture performance. The technology sourcing strategy in ambidextrous activity for start-ups is punctuated equilibrium and evolving from the external ambidexterity to internally and externally coordinate ambidexterity at entrepreneurial stages.

This study creatively adopts configuration-based thinking to investigate how to balance TSOA for high venture performance, extending the literature on technology sourcing and contributing to the balance theory of exploration and exploitation.

An important but neglected area of investigation in digital entrepreneurship is the combined role of both core and peripheral members of an emerging technological field in shaping the symbolic and social boundaries of the field. This is a serious gap as both categories of members play a distinct role in expanding the pool of resources of the field. I address this gap by exploring how membership category is related to funding decisions in the emerging field of artificial intelligence (AI).

The first quantitative study involved a sample of 1,315 AI-based startups which were founded in the period of 2011–2018 in the United States. In the second qualitative study, the author interviewed 32 members of the field (core members, peripheral members and investors) to define the boundaries of their respective role in shaping the social boundaries of the AI field.

The author finds that core members in the newly founded field of AI were more successful at attracting funding from investors than peripheral members and that size of the founding team, number of lead investors, number of patents and CEO approval were positively related to funding. In the second qualitative study, the author interviewed 30 members of the field (core members, peripheral members and investors) to define their respective role in shaping the social boundaries of the AI field.

This study is one of the first to build on the growing literature in emerging organizational fields to bring empirical evidence that investors adapt their funding strategy to membership categories (core and peripheral members) of a new technological field in their resource allocation decisions. Furthermore, I find that core and peripheral members claim distinct roles in their participation and contribution to the field in terms of technological developments, and that although core members attract more resources than peripheral members, both actors play a significant role in expanding the field’s social boundaries.

Core AI entrepreneurs who wish to attract funding may consider operating in fewer categories in order to be perceived as core members of the field, and thus focus their activities and limited resources to build internal AI capabilities. Entrepreneurs may invest early in filing a patent to signal their in-house AI capabilities to investors.

The social boundaries of an emerging technological field are shaped by a multitude of actors and not only the core members of the field. The author should pay attention to the role of each category of actors and build on their contributions to expand a promising field.

This paper is among the first to build on the growing literature in emerging organizational fields to study the resource acquisition strategies of entrepreneurs in a newly establishing technological field.

Research has shown that business model innovation can facilitate most ventures to innovate and remain competitive, yet there has been limited work on how digital leadership capabilities influence business model innovation. Building on the dynamic capabilities view, we address this gap by linking digital leadership capabilities with business model innovation via managerial decision-making through provision of grants received by new ventures.

The study is cross-sectional research. Data have been collected utilizing purposive sampling from 313 founding members of new ventures in high-velocity markets, i.e. from Pakistan. SPSS has been used to conduct the moderated mediation analysis.

Digital leadership capabilities foster the business model innovation of the new ventures because they enable new ventures to capitalize on digital technologies and create new ways of generating value for the customers and themselves. Moreover, managerial decision-making mediates digital leadership capabilities and business model innovation relationship, whereas, grants moderate the indirect positive effect of digital leadership capabilities on business model innovation via managerial decision-making. The study generates initial evidence on the impact of digital leadership capabilities on business model innovation via managerial decision-making for new ventures. We advance knowledge on new ventures’ business model innovation by deep-diving into dynamic capabilities view and emphasizing digital leadership capabilities as a significant driver for business model innovation.

With the help of dynamic capabilities theory, this study analyzes how new ventures make use of digital leadership capabilities to promote business model innovation.

Over the past decades, mainstream studies have generally indicated that new ventures could improve entrepreneurial performance by adopting strategic alliances (SAs). However, recently an increasing number of new ventures appear to not realize this objective using SAs at all times and may, rather, even be stuck in the survival trap. This dilemma indicates that the causal relationship between SAs and entrepreneurial performance in new ventures is not simply linear and rather a further complex nonlinear relationship. To handle this debate, this study attempted to reveal the nonlinear relationship of two types of SAs (technology alliances and market alliances) in new ventures with entrepreneurial performance (organizational growth and customer value). In addition, the moderating effect of transactive memory system (TMS) in the entrepreneurial team under the nonlinear relationship was explored.

This study established a research model by considering technology alliances and market alliances as two independent variables, organizational growth and customer value as two dimensions of entrepreneurial performance, and TMS as the moderators. The survey data collected from 207 Chinese new ventures was subjected to the hierarchical linear regression method for testing the proposed hypotheses.

The results revealed that there is an inverse U-shaped relationship between technology alliances and organizational growth, while the relationship between technology alliances and customer value was U-shaped. In addition, the relationship between market alliances and organizational growth was U-shaped, while an inverse U-shaped relationship was observed between market alliances and customer value. Finally, TMS was observed to positively moderate the U-shaped relationship between technology alliances and customer value as well as the U-shaped relationship between market alliances and organizational growth.

This study concluded that a nonlinear relationship between SAs and entrepreneurial performance existed in new ventures, which contributes to resolving the debate on whether new ventures could adopt SAs to improve entrepreneurial performance at all times. Specifically, the findings of this study would enrich the existing literature on the outcomes of SAs in new ventures through an evaluation of the effect of the inverse nonlinear relationship between technology alliances and market alliances on entrepreneurial performance (e.g. organizational growth and customer value). In addition, the findings of this study would extend the discussions about the conditions of the above causal relationship by introducing the TMS as the core moderator.

This paper aims to investigate which network relationships foster the early development of a sustainable new venture (SNV) and how sustainability as the core characteristic of the new venture shapes those network relationships.

This paper relies on a qualitative approach. The primary data source is 25 interviews with 18 key informants of 15 Italian SNVs. The fashion industry is the empirical setting due to its negative environmental and social impacts and shifts toward sustainability during the past decade.

The paper identifies six types of network relationships that affect the development of fashion SNVs. It proposes sustainability-enhanced and sustainability-enabled network relationships and relates them to trust and legitimation in the network.

The study enriches the theoretical debate on networks, new ventures and sustainability by dealing with the case of SNVs in a traditional sector. This paper presents managerial implications for entrepreneurs and policymakers.

This paper contributes to the debate on society’s sustainable development by emphasizing how networks can affect the growth of SNVs.

This paper fills a research gap in a novel manner. The paper contributes to the recent debate on new ventures and sustainability from the market as network approach. It identifies relevant networks, their contribution and the role of sustainability. The study refers to SNVs in traditional nontechnological industries.

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.

This study explores how open innovation (OI) can be instrumental for entrepreneurs in sensing and seizing entrepreneurial opportunities in small and medium enterprises (SMEs). This study also illustrates how OI can help SMEs overcome the liability of smallness.

This is exploratory research using an inductive, multiple-case study approach. This study capitalizes on five in-depth case studies of European SMEs to explore a phenomenon using replication logic and provide a robust basis for theory building.

This study presents a holistic view of the OI process in SMEs and illustrates the crucial role of entrepreneurs. The study provides a better understanding of how OI can help entrepreneurs sense and seize entrepreneurial opportunities by envisioning venture ideas and implementing business model innovation through the management of innovation partners.

The study emphasizes two critical roles of entrepreneurs in implementing OI in SMEs. First, the entrepreneur can be the instigator of strategic change, and second, he/she can orchestrate the innovation network. The findings emphasize that OI helps avoid knowledge corridors at the venture idea stage, leading to a (re)structuring of the business model and the emergence of a network of innovation partners, which should be managed hands-on. This study discusses in detail the two crucial roles of entrepreneurs.

Entrepreneurial intention is one of the main predictors of venture creation. However, the approaches used to analyze the entrepreneurial intention and venture creation are mostly linear approaches, leaving aside the fact that new ventures arise in a context characterized by fluctuations and instability, especially in emerging economies where economic and social factors are highly variables. Nevertheless, a dynamic approach could best represent its behavior. This study aims to propose an alternative approach and a starting point for more complex dynamic models in the entrepreneurship process that surpass the limitation of the current linear methodologies and allow gathering isolated studies' contributions.

This study proposes a method to shed light on the processes related to the venture creation process and entrepreneurial intention by designing a system dynamics simulation model.

The results reveal that the delayed effect of expectations produces a growing tendency in project creation, venture establishment and venture creation. Likewise, the entrepreneurial intention is not a static variable; it changes by the system’s dynamics and disturbs the venture creation process, which produces an increase in oscillations in the model and, therefore, reduces the project’s growth and venture creation.

This model is a generic approach for the study of venture creation and entrepreneurial intention. The model can analyze entrepreneurial intention and venture creation in different contexts, adjusting the different model parameters. The authors run a sensitivity analysis to encompass deviation from the parameter established and the uncertainty about them. However, the empirical data used for the model’s testing, in this case, correspond to an approximation to the behavior of venture creation in Colombia, which is considered an emerging economy. The model proposed does not pretend to incorporate all the variables and phenomena about entrepreneurship.

The approach suggested in this work aims to conceptualize venture creation as a complex process that emerges from the occurrence and combination of simpler states, instead of activities that represent building blocks. In addition, the term “entrepreneurial process” is defined as a composite of different perspectives that use a series of multidisciplinary theories to address the topic.