Search results

Under the unique context of COVID-19, this paper aims to analyze how the Government of Pakistan (GoP) provides financial and non-financial support to women entrepreneurs in Pakistan. Drawing on the resource-based theory of entrepreneurship (RBTE), the study advances the understanding of resources and grants offered by GoP to women entrepreneurs to help them in business survival.

The study adopts qualitative research method to address the questions: how does the Pakistani government respond to issues faced by women entrepreneurs during the COVID-19 pandemic, and what assistance and initiatives were implemented by GoP? Semi-structured interviews were conducted with twenty on-job government officials related to the entrepreneurial sector in Pakistan.

The paper reveals that during the pandemic, GoP keenly communicated with women entrepreneurial representatives to comprehend their business challenges. In addition, waivers and incentives were provided to support their business activities. GoP further invited women entrepreneurs to contribute their knowledge and give suggestions in policy making.

Lots of research have been conducted to identify the issues faced by women entrepreneurs during the pandemic. However, the specific strategies, policies, and support provided by the governments to address these issues have often been overlooked. This paper fills such gap with focus on the governing bodies and policymakers in Pakistan towards women entrepreneurship during the COVID-19 crisis.

This paper aims to examine the effects of socio-emotional wealth importance (SEWi) in family firms and family firm-specific HR practices, namely professionalization and bifurcation bias, on their entrepreneurial orientation (EO).

The paper surveyed 133 small and medium-sized family firms in the USA. The respondents were recruited through Prolific Academic.

When SEWi is low, a family firm becomes more similar to a non-family firm, thereby enjoying the benefits associated with EO. When SEWi is high, a family firm leverages the unique resources and capabilities specific to family firms. Moderate SEWi levels are associated with lower EO levels. Additionally, the results support the argument that professionalization (involving non-family managers, formalization and decentralization) fosters EO, while bifurcation bias hinders its development.

Unlike previous studies, this paper posits a non-linear, U-shaped relationship between SEWi and EO. It contributes to the field by empirically investigating the effects of professionalization and bifurcation bias on EO in family firms.

Subscription offerings are being hailed as the next service growth engine for companies in both business-to-consumer (B2C) and business-to-business (B2B) markets. The study analyzes how a manufacturing firm can develop and implement a scalable service-based subscription business model for B2C and B2B customers alongside its existing product-centric model.

A longitudinal case study is conducted, drawing on 25 in-depth interviews with company executives and dealers in key European markets.

The study outlines an iterative process model for subscription business model innovation. It reveals key events and decisions taken in developing, implementing, and scaling the new business model and how internal and external tensions involving intermediaries arose and were mitigated during the four stages of the process.

The findings highlight the dynamics of business model innovation processes and underscore the importance of organizational learning, collaborative relationships with channel partners, and strategic talent acquisition during business model innovation.

The findings suggest how product-centric firms can implement new service business models alongside existing product models and what this means for partner and customer journey management.

While servitization research predominantly concerns B2B manufacturers, B2C research focuses on digital subscription contexts. The study bridges this divide by investigating the move to subscriptions in both markets.

This paper aims to provide a contribution on the diffusion of Industry 4 (I4.0)-related knowledge in industrial districts (IDs). The main goal is to examine the dissemination of I4.0 knowledge, exploring the main mechanisms for its spreading and highlighting the main factors shaping such processes. Focus is on dissemination processes in IDs active in traditional industries, which could represent the “periphery” of I4.0 application context.

The methodology is qualitative. Notably, this paper presents a case study of the Pesaro ID specialized in furniture/woodworking machinery sector. A total of 18 in-depth one-to-one interviews have been conducted with relevant informants from a variety of organizations within the cluster: companies, institutions and universities.

The complexity of I4.0 requires a combination of traditional mechanisms with innovative ones within IDs characterized by the emergence of new players, activities and resources. These changes led to three main evolving patterns: the horizon of I4.0 upgrading shows blurred boundaries in terms of sectors and geographic location, the I4.0 diffusion appears fragmented in terms of initiatives and projects by both firms and institutions and the dissemination of I4.0 knowledge pushes ID firms and institutions to pursue deliberate initiatives leading to innovative forms of “collective” cooperation.

This paper contributes to both theory and practice. From the theoretical point of view, this paper contributes to the literature on innovation in IDs and clusters on two interrelated grounds. First, it provides further research on I4.0 and IDs and clusters. Second, it contributes to the stream of research on knowledge creation and diffusion in IDs and clusters, providing empirically based insights over emerging local learning processes in IDs. Moreover, relevant managerial and policy implications stem from the analysis.

The paper faces artificial intelligence issues in the venture creation process, exploring how artificial intelligence solutions intervene and forge the venture creation process. Drawing on the most recent literature on artificial intelligence and entrepreneurship, the authors propose a set of theoretical propositions.

The authors adopt a multiple case approach to assess propositions and analyse 4 case studies from which the authors provide (1) more detailed observation about entrepreneurial process phases influenced by artificial intelligence solutions and (2) more details about mechanics enabled by artificial intelligence.

The analysis demonstrates artificial intelligence contributes alongside the entrepreneurial process, enabling mechanisms that reduce costs or resources, generate new organizational processes but simultaneously expand the network needed for venture creation.

The paper adopts a deductive approach analyzing the contribution of AI-based startup offerings in changing the entrepreneurial process. Thus, the paper provides a practical view of the potentiality of artificial intelligence in enabling entrepreneurial processes through the analysis of compelling propositions and the technological ability of artificial intelligence solutions.

Social innovation (SI) acknowledges socio-economic challenges as opportunities to make communities more sustainable and cohesive through inclusive grassroots practices. The question remains, however, as to whether and how socially innovative practices can be effectively supported in developing inclusive economies. Drawing on the findings from two South African in-depth case studies, This paper aims to discuss how social innovation ventures may be supported to drive inclusiveness.

This paper purposively sampled two social enterprises (SEs) and conducted in-depth case studies through interviews and secondary data review.

The SEs selected promoted digital, economic and social inclusion. Despite the diversity of the two organisations, they shared similar challenges in undertaking their practices mostly deriving from South Africa’s lack of legal recognition and policy framework for social purpose-driven businesses.

Applying Moulaert et al.’s (2007) SI classification criteria to the case studies in focus, this paper seeks to extend our understanding of the challenges that innovative SE organisations face in tackling exclusion and contributing to build inclusive economies in the South African context.

The purpose of the study was to determine if representatives of small and large businesses in New Jersey believe portfolios would be valuable for evaluating applicants as part of the hiring process and whether portfolios would help applicants in the hiring process.

Representatives from 109 small and 71 large businesses in New Jersey were surveyed about using portfolios in the hiring process.

Representatives from both small and large businesses believe that the submission of a portfolio of exemplary work may help the applicant and the employer in the hiring process.

The study limitations are that the respondents had different definitions of ePortfolio, it was a convenience survey, and the researchers used two sets of data. For future research, conducting a study in a major region of the world would be a significant contribution to learning about the views of business representatives globally regarding the use of ePortfolios in the hiring decision process.

The authors recommend that educational institutions encourage students to create portfolios as part of their career preparation to gain an edge as applicants in the job market. EPortfolios are an emerging tool to help employers in the hiring decision process.

EPortfolios would provide evidence of the employee's fit to the position, thus eliminating a mismatch of the employee's skill set and qualifications to the job. The ePortfolio aids the employer in seeing the candidate's skills for the position.

This paper adds to the limited research about the emergence of ePortfolios having a role in human resource decision making.

This research aims to shed new lights on the most shared constructs developed on Innovation Ecosystems, Entrepreneurial Ecosystems and Technology Transfer Ecosystem proposing an additional stand-alone ecosystem.

This research is built upon a qual-quantitative analysis of an empirical case. The latter analysis is performed through a single case study methodology on the San Giovanni Hub of the Federico II University of Naples.

Evidences show how a technological hub orchestrates three main ecosystems for the knowledge exploitation: the technology transfer ecosystem, devoted to gather knowledge form universities' labs towards industries; the innovation ecosystem, able to manage the exploration and exploitation of new knowledge and techniques; the entrepreneurial ecosystem, that supports startup/spinoff creation process.

Limitations mainly concern the fact that it is centred on just one case study.

Practical implications imply new opportunities of collaboration involving different stakeholders as university administrators, researchers, businesses and policymakers, creating a supportive environment for innovation.

The research offers a new vision about the role of Universities as creators and enablers of ecosystems pursuing diverse value propositions. The Academic Innovation Ecosystem is a new conceptualization of this role played by a university, and it can convey innovation and entrepreneurial attitude within its ecosystem leveraging on the transfer of university knowledge and technology.