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The ongoing economic impact of the global COVID-19 pandemic upon national and international economies has provided a novel set of challenges and barriers for organisations; particularly for small and medium enterprises (SMEs). This has led to an increased focus on sustainable decision-making and long-term survival and growth strategies, such as internationalisation opportunities, for SMEs during obscure times and fluctuating economies. Thus, examining how SMEs within ambiguous economies are adopting innovative decision-making to continue to sustain and grow their enterprises provides a vital perspective and understanding of not only enterprise survival but enterprise growth during times of economic uncertainty. This chapter proposes a conceptual framework that explores internationalisation opportunities through an intersectional lens. The framework depicts that intersectionality as an enabler during ambiguous times for Maldivian women entrepreneurs generates innovative decision-making towards internationalisation as part of sustainable growth practices. The conceptual framework offers theoretical implications for empirical studies of an inductive or deductive nature and offers pragmatic importance for women entrepreneurs considering internationalisation through sustainable growth during obscure times and fluctuating economies. This chapter contributes to the growing body of knowledge in the field of international entrepreneurship, particularly innovative decision-making, and sustainable growth through internationalisation opportunities of women entrepreneurs, whilst advancing our understanding of gender and entrepreneurship studies. Studying innovative decision-making and sustainable growth practices of women entrepreneurs additionally provides a new perspective on intersectional works within entrepreneurial growth during uncertain times.

This study investigates the personal factors influencing innovative entrepreneurship combined with additional contextual insights from high-income European countries. Specifically, this study has three main objectives: (i) to measure differences in the level of entrepreneurial innovativeness activity among high-income European regions; (ii) to uncover key factors leading to appropriate levels of entrepreneurial innovativeness and (iii) to suggest policies that may enhance the regional level of entrepreneurial innovation.

A sample of 4,430 nascent and new entrepreneurs from 16 different high-income European countries drawn from the Global Entrepreneurship Monitor (GEM) Adult Population Survey (APS) was used in conjunction with macroeconomic indicators. Data were analyzed using a logistic regression analysis.

There are significant differences in the conditions that influence entrepreneurial innovativeness in European regions. These variations in entrepreneurial activity can be explained using contextual factors and individual characteristics. Although technological novelty increases the probability of innovative entrepreneurship, the technology effect is significantly greater in Western Europe than other regions across Europe.

This study illustrates how a contextualized view of entrepreneurship enriches the knowledge of the human and dynamic socioeconomic drivers that motivate innovative entrepreneurial action in high-income European countries.

The purpose of this study is to systematically review the existing literature on the blood supply chain (BSC) from a network design perspective and highlight the research gaps in this area. Moreover, it also aims to pinpoint new research opportunities based on the recent innovative technologies for the BSC network design.

The study gives a comprehensive systematic review of the BSC network design studies until October 2021. This review was carried out in accordance with preferred reporting items for systematic reviews and meta-analyses (PRISMA). In the literature review, a total of 87 studies were analyzed under six main categories as model structure, application model, solution approach, problem type, the parties of the supply chain and innovative technologies.

The results of the study present the researchers’ tendencies and preferences when designing their BSC network models.

The study presents a guide for researchers and practitioners on BSC from the point of view of network design and encourages adopting innovative technologies in their BSC network designs.

The study provides a comprehensive systematic review of related studies from the BSC network design perspective and explores research gaps in the collection and distribution processes. Furthermore, it addresses innovative research opportunities by using innovative technologies in the area of BSC network design.

The paper aims to contributes on the debates about University Idea Incubation by investigating the role and the engagement of different University's stakeholders in the process of opportunity recognition in an entrepreneurship education program targeted at students with an interdisciplinary background.

Through a longitudinal case study methodology, the Contamination Lab at University of Salento (Lecce, Italy), the learning approaches and the knowledge process to create an entrepreneurial awareness, mindset and capability in students with different educational background are presented.

The findings demonstrates the crucial role of stakeholders' engagement for business idea presentation, open innovation challenge, contamination workshop on specialized topics, enterprise projects are important vehicle for effective students' business ideas and innovative projects development in a multidisciplinary environment. The close interaction among students, academia, companies and institutions creates a favourable environment that enables opportunity identification, idea generation through a deep contamination of knowledge, skills and experiences.

Limitations include the need to generalise the results even if this limitation is typical of the case study methodology. Other research is necessary for an in-depth analysis in deep of the other Contamination Lab in Italy and to derive the “invariance traits” of this environment according to the features of the local entrepreneurial ecosystems.

Implications for practices include recommendations for designing innovative programs where the interactions between University-Institutions-Industry are realized.

A conceptual framework is proposed by defining all the entrepreneurial knowledge process and knowledge creation within the Contamination Lab, highlighting the contribution of the stakeholders in each phase and learning initiative of the program.

The Internet of Things (IoT), as one of the new digital technologies, has created wide applications in various industries, and one of the most influential industries of this technology is the transportation industry. By integrating the IoT with the transportation industry, there will be dramatic changes in the industry, and it will provide many entrepreneurial opportunities for entrepreneurs to develop new businesses. Opportunity identification is at the heart of the entrepreneurial process, and entrepreneurs identify innovative goods or services to enter a new market by identifying, evaluating, and exploiting opportunities. Despite the desire of transportation managers to invest in the IoT and the increase in research in this area, limited research has focused on IoT-based entrepreneurial opportunities in the transportation industry. Therefore, the present study aims to identify IoT-based entrepreneurial opportunities in the transportation industry and examine their importance.

To achieve the research objective, the authors applied a mixed approach. First, adapting the lens of the industry value chain theory, a comprehensive literature review, besides a qualitative approach including semi-structured interviews with experts and thematic analysis, was conducted to identify the entrepreneurial opportunities. The identified opportunities were confirmed in the second stage using a quantitative survey method, including the Student t-test and factor analysis. Finally, the identified opportunities were weighted and ranked using the best worst method (BWM).

Entrepreneurial opportunities are classified into five main categories, including “smart vehicles”, “business partners/smart transportation supply side”, “supporting services”, “infrastructures”, and “smart transport management and control”. The infrastructures group of opportunities ranked the highest amongst the identified groups.

This study adds to the digital entrepreneurship opportunity recognition literature by addressing opportunities in a smart industry propelled by digital technologies, including developing new products or new applications of the available technologies. Additionally, inspired by the industry value chain theory, this article develops a framework including various digital entrepreneurial opportunity networks which are necessary to add value to any industry and, thus, could be applied by entrepreneurs to recognize opportunities for new intermediaries to enter other digital-based industries. Finally, the present study identifies the IoT-based entrepreneurial opportunities in the smart transportation industry and prioritizes them, providing practical insights regarding the creation of entrepreneurial ecosystems in the field of smart transportation for entrepreneurs and policymakers.

In the competitive business world, companies strive to be innovative, and to do so, they try to implement innovative human resource practices. Therefore, the authors propose an association between innovative human resource practice, organizational commitment, innovation performance and transformational leadership.

This study gathered data from 1,037 small- and medium-sized enterprises and implied partial least square structural equation modeling PLS-SEM using Smart PLS was adopted to test the hypotheses.

The findings reveal positive direct relationships between innovative human resource practices, organizational commitment and innovation performance. Moreover, organizational commitment positively mediates and transformational leadership significantly and positively moderates the relationship. Companies should use innovative recruitment and selection, performance management, and innovative compensation to enhance organizational commitment and innovation performance. In addition, the optimized organizational commitment aids in strengthening the connection between innovative human resource practices and firms' innovation performance.

Managers should also develop a sense of affiliation and attachment to increase innovation performance. The study contributes empirically to the literature on innovative human resource practices and their effect on organizational commitment and innovation performance.

In this paper, the author examines how capital structure (relative to target) affects firm innovation.

The author uses cross-sectional OLS regressions (for each year of data) to determine whether a firm is above or below its target debt level (in that year) and then uses fixed effects OLS regressions with panel data to examine the impact of having leverage above or below the firm's target on its innovation activity.

The author shows that firms with below-target debt innovate more in terms of number of patents granted and have better quality innovations in terms of citation counts of patents and in terms of economic value of patents. The results hold for sample splits based on firm age, firm size and access to external finance. The author also shows that the findings are not driven by the negative correlation between leverage and innovation measures. Overall, the results indicate that it is not the actual level of leverage that impacts innovation; the relevant factor that impacts firm innovation is whether a firm is above or below its leverage target.

The author extends the literature on financing innovation by linking leverage target with firm innovation. Findings of this paper also provide supporting evidence that capital structure plays an important role on firm innovation and supplements prior literature that shows the importance of debt in financing firm innovation.

The increasing prevalence of enterprise risk coupled with global competition requires a strategic link to the way forward through measured outcomes determined in a collaborative and visual manner.

The model was conceptualized and validated through strategic management deficiencies encountered in venture ownership, management consulting and teaching practice and was augmented with extensive stakeholder input and existing scholarly research.

Managing risk is a complex and somewhat dark task that can happen everywhere or nowhere within a firm and requires mitigating strategies developed with stakeholder consensus. In practice with three distinct audiences of entrepreneurs, senior managers and capstone student strategists, the model does facilitate linked risk and opportunity identification as well as the quantification and/or qualification of variables. The process is as impactful as the outcomes when individual risk “appetites” and a collective risk culture emerge.

Innovative organizations must regularly scan their external environment and assess internal resources and capabilities in a structured and actionable manner while understanding their risk culture. Valuable outcomes emerge from facilitating strategic risk management discussions, particularly in growing and informal organizations. Risk communications with stakeholders are complex and increasingly important.

Opportunity mapping offers a novel process to identify prioritized strategies that may be otherwise determined intuitively with limited input or absent altogether. The process facilitates actionable outcomes as a supplement to the known practice of risk assessment while contributing to a competitive advantage.

The purpose of this paper was to determine the factors that enable entrepreneurial opportunity recognition and the significant role of education and training in enhancing opportunity recognition.

This paper follows a systematic literature review method to answer the research questions. A systematic literature review allows us to determine the work carried out to date, how it was done, assess literature and report all relevant research. The authors have used the Preferred Reporting Items for Systematic and Meta-Analysis procedure.

The findings of this study showed that prior knowledge, social networks, external environment, entrepreneurial alertness, creativity, self-efficacy and entrepreneurial passion are the main factors that play a role in the opportunity recognition process. The authors were also able to establish the importance of education and training in enhancing opportunity recognition. Experiential learning is at the forefront of education methods used to improve prior knowledge and experience that directly impact the ability to recognize entrepreneurial opportunities.

The paper provides human resource development practitioners and entrepreneurship educators with factors that determine entrepreneurial opportunity recognition. It pinpoints the factors that can be exploited in enhancing employees and novice entrepreneurs’ ability to recognize viable entrepreneurial opportunities.

Opportunity recognition is recognized as the first step in the entrepreneurship process. Therefore, it is crucial for entrepreneurs to have the ability to recognize opportunities that are viable. Understanding the factors that contribute to a successful opportunity recognition is important. In addition, the role of education and training in opportunity recognition and enhancing entrepreneurial opportunity recognition cannot be overlooked.

The purpose of this paper is to examine perceived supervisory support (PSS) and the impact of the antecedents of sharing knowledge, namely, clan culture (CC) as well as trust in innovative work behavior (IWB).

This research focuses on small and medium-sized enterprise (SME) employees, especially SMEs located around tourist attractions in Indonesia. Data collection was carried out by distributing questionnaires. The distribution of the questionnaire was carried out in two ways, namely, the offline and online systems via the Google form. Data analysis tool using structural equation modeling.

The findings reveal that PSS, knowledge sharing (KS), CC as well as trust are positively related to IWB. In addition, it was also found that KS was proven to mediate CC relationships as well as the trust which had a positive relationship with IWB.

The research design uses cross-sectional data. This means that the measurement of variables is based on self-reports and is carried out at one time, which can lead to method bias that can affect the results of the study. Thus, further research is recommended to collect data longitudinally, which will make the findings stronger.

Theoretically, this study extends previous research by outlining a set of organizational elements that tend to influence KS behavior and their impact on IWB in the SMEs context.

Managers and owners of SMEs need to create a CC because the creation of a family or CC will more easily foster a culture of sharing knowledge within the organization, which will ultimately increase IWB.

This study emphasizes that it is not only internal factors within employees that can foster IWB but there are external factors that play an important role in increasing IWB, such as CC, PSS, trust and KS. And to the best of the authors’ knowledge, this is the first study to include all the constructs in one model and the context of SMEs.