Search results

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.

This study investigates teachers' perceptions of how school conditions influence their motivation for opportunity recognition. It uses discovery theory as a theoretical lens to understand the dynamics of entrepreneurial teachers' knowledge and alertness in responding to school conditions.

Using a multi-case study approach, in-depth interviews were conducted with participants in three schools highlighting similarities and differences in their conditions of empowering entrepreneurial teachers to discover opportunities.

The results indicate that four school conditions facilitate entrepreneurial teachers to discover opportunities, namely, a rigorous working environment, a trusting and opened culture, extensive communication networks and rewarding work conditions.

These findings further underscore the use of discovery theory in educational contexts showing that entrepreneurial teachers are in an active mode of searching for opportunities. Specific ways through which teachers can better recognize opportunities for school improvement are included.

The purpose of this paper is to bridge the obvious gap presented in research on antecedents of effectuation by building a research model from the perspectives of effectuation and entrepreneurial opportunity.

This paper examines the effects of patterns of opportunity discovery and the innovativeness of entrepreneurial opportunity on the decision-making process of effectuation in new venture creation. Eight hypotheses are put forward and examined by hierarchical multiple logistic regression. The data in this paper are based on the first two rounds of survey data from Chinese Panel Study of Entrepreneurial dynamics.

The empirical results show that patterns of opportunity discovery have significant positive effects (at least partially) on effectuation. Namely, entrepreneurs employing fortuitous discovery tend to use available means and leverage contingency. And with lower innovativeness of opportunity, entrepreneurs are more likely to use affordable loss and leverage contingency.

The study is limited to each dimension of effectuation based on the single-item measure, which cannot completely reflect the effectual construct. More research should to be done to improve measures of effectuation.

The findings are useful for entrepreneurs to make effective decisions whether to choose effectuation in the face of different patterns of opportunity discovery. Besides, it provides the advice on how to cope with the innovativeness of opportunity and seize entrepreneurial opportunities to entrepreneurs.

This paper first systematically studies the effects of entrepreneurial opportunity on effectuation, making up for the obvious gap of research on antecedents of effectuation.

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 purpose of this paper is to identify the effect of organisational culture by its two dimensions (innovative organisational culture and conservative organisational culture) on innovative performance and also investigate the moderating role of the job type on innovative performance in the relationship between innovative organisational culture and conservative organisational culture.

For this study’s purposes, 321 questionnaires from employees of Jordanian private universities were analysed. Convergent validity and discriminant validity tests were performed. Data reliability was confirmed. A bootstrapping technique was used to analyse the data. The multi-group analysis was performed to investigate the moderating role of job type.

The results of this study indicate that the innovative organisational culture will improve innovative performance and that a conservative culture reduces innovation opportunities. Moreover, innovative organisational culture promotes innovative performance for all employees regardless of who holds administrative positions.

This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalisation of its results. Moreover, this study adopted subjective measures and the results are limited to one country, Jordan.

This paper contributes to drawing the attention of senior management to the importance of innovation culture in the performance of innovation at Jordanian private universities surveyed, in particular, and other organisations in general.

The social impact of this study is to respond to the challenge of building an innovation-based culture and to limit the effects of a conservative culture that limits the response to innovation.

This study has important implications for leaders in general. It also highlights the need for organisations to develop an orientation towards innovative organisational culture instead of the classic approach based on the conservative culture of all its members (both administrative and non-administrative employees) and to invest in training that supports this trend, thus increasing their innovative performance, which contributes to raising their capabilities to excel, compete and achieve high levels of performance.

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.

Over the past few years, several scholars have focused on innovation strategies with specific regard to family food firms. In line with this research stream, the purpose of this paper is to understand how family food firms with long-standing traditions can implement innovative productions while remaining anchored to the past.

By adopting a qualitative research methodology, mainly based on a multiple case study, this paper seeks to cover some unexplored areas regarding the opportunity of combining tradition and innovation to achieve success in the highly competitive international arena in which family food firms operate. The authors analyze the cases of “La Torrente,” “Cioccolatitaliani” and “La Fabbrica della Pasta di Gragnano.”

Successful family food firms leverage their deep-rooted knowledge of both family and local traditions to innovate. At same time, they establish continuous info exchange flows with all of the firm’s stakeholders by adopting an open innovation approach.

From a theoretical perspective, there is a need for an in-depth study of how an effective blend of tradition and innovation is formalized, above all, in family firms. As for the practical implications, all the three case studies represent a best practice, especially for family firms with a long-standing history and strong local connections.

The paper shows how important it is to keep traditional factors in food industry and offers hints and suggestions to decision makers of family firms on how to valorize, in terms of competitiveness, their traditional resources – almost bound to their territory with innovation tools and processes.

The paper is interesting because it offers an analysis of a specific group of firms – family firms – that characterize many industries in Italy and in Europe. Although often small, these firms can show dynamism and creativity. The paper offers hints on how to approach innovation in the sector while keeping the value of tradition.

The originality of the proposed conceptual model stems from the need to overcome the previous theoretical models, which deal separately with sources of past knowledge and sources of new and/or external knowledge.

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.