Search results

The main objective of this research was to identify the key critical determinants of internationalisation business processes that entrepreneurs adopted in under-supported policy contexts.

This research utilised a case-study design, incorporating multiple case examples, applying non-probability purposive selection criteria. A total of five in-depth, structured 90-min to two-hour case interviews were conducted with Italian entrepreneurs, in which four out of the five cases selected are goods-oriented, and one is services oriented.

Regarding internal entrepreneurial motives, four crucial determinants were recognised: (1) Making more profit, (2) Expanding market, (3) Personal tendency to export and (4) Obtaining social respect. Regarding external networking capabilities, two key factors were identified: (1) Developing relationships with an international partner or representative and (2) Maintaining relationships with industry-relevant authorities.

The data gathered for this paper depends on self-announcing, expanding the likelihood of being one-sided for social desirability answers. The sample of research is also limited to small and medium businesses and has covered a limited number of companies.

An under-supported policy context forces international entrepreneurs to make their own arrangements and tailor their business process through personal initiative and interactions with network partners. Taking advantage of field-based data, this paper is probably one of the earliest research studies to identify several internal and external factors impacting on firm internationalisation business processes in the low policy support context for entrepreneurship.

In recent years, decision-making regarding business growth has attracted the attention of many researchers. Also, considering the importance of scale in startups for their survival and the development of economies, investigating the scalability of startups in emerging markets that are booming, can be useful. Scaling for international business has taken on a new meaning: they must be leaders in both emerging as well as advanced markets; they must be responsive to customers in both departments, which require tremendous innovation and agility; they have to build the competency needed in designing, developing, and marketing the opposite for advanced world markets; and they need to demonstrate rapid decision-making, innovation, and opportunism in delivery to the cost-sensitive underdeveloped markets. As a result, decision-making about the scale of start-ups at the international level plays an important role. The internationalisation of start-up activities is an extremely important and attractive topic among researchers, entrepreneurs, and practitioners. But there is very little research and also projects on the internationalisation of start-up venture activities, particularly after the gain of scaling and exponential growth.

Global economies are involved with enormous activities of internationalization that provide pure and untapped opportunities for entrepreneurs and businesses to place and promote their products.

The authors applied structural equation modeling (SEM) analysis with the partial least squares (PLS), conducting an empirical analysis of data from 28 European countries.

The results reveal that the higher level of education/knowledge in a country enhances the foresight competencies of entrepreneurs and that they both have a positive influence on the effective business creation. The findings of this paper also stress on the positive relationship between the effect of business creation and international intensity in economy level.

The limitation of this study lies in the impossibility of obtaining a larger and more complete data. Consequently, this study uses national-level data from 28 European countries, which makes the sample too small. In addition, although innovation is one of the driving factors in both internationalization and entrepreneurship, because of the limitation, it has not been considered in this study.

The authors assert that countries, specifically European nations studied in this research, can improve their employment rate and value creation (through their products in international markets) by giving a special attention to the entrepreneurial-oriented human capitals.

This research warns policymakers that they can have a serious contribution in promoting (international) entrepreneurship. They should draw a rigorous plan for formal and informal educational systems that effectively develops essential knowledge for launching new businesses and fosters the innovation and entrepreneurship.

This study set out to improve the understanding of the role of level of education/knowledge and foresight competencies, as the elements of human capitals, on international entrepreneurship.

To design a novel hybrid approach to illustrate a reciprocal alignment to integrate future products and technologies. This mixed qualitative-quantitative method aims to optimize the final product portfolio and production technologies alignment in the food industry.

A list of products and technologies is extracted and evaluated by experts employing Market Attractiveness and Ease of Implementations Matrix (MA-EI) for products and attractiveness and technological Capability Matrix (A-C) for technologies. Weights of high-scored alternatives are attained applying the Z-number extension of Best Worst Method (ZBWM). After the product-technology matrix is formed and the alignment scores of each pair are determined by experts. Subsequently, final scores are computed, and a framework is proposed by electing high-ranked products and technology of each cluster to form the aligned product and technology portfolios of a food and hygiene industry company.

By employing an uncertain multicriteria decision-making approach besides product and technology matrices in a food industry corporation, among 40 technology and product, 13 products by 6 technologies are proposed. Thus, only six technology are necessary to manufacture the highly important and effective products.

The combination of product and technology analysis matrixes with an uncertain decision-making approach is considered as a novel approach in this research. Moreover, the distinctness between the present study and other researches is the concurrent unified aspect of product portfolio and technology optimization and its implementation in the planning discussion, especially in the food industry.

The purpose of this paper is to provide a thorough empirical investigation of the potential link between corporate innovations and corporate competitiveness in the context of the UK IT industry.

This research uses a panel of 216 UK IT firms for the period from 2000 to 2016. The sample data for this study were extracted from the Worldscope, extracted from the Datastream database from Thomson Reuters. For the analysis of the data, the generalised method of moments model is applied.

The results of this study provide empirical evidence that there exists a strong, positive link between corporate innovations and corporate competitiveness. Such evidence further reinforces the common view in the current literature of strategic management that because of the nature of their business, firms in the IT industry need to enhance their innovative capacities on a continual basis because of their critical role on these firms’ success and survival. Also, it is found that when the proxies for corporate innovations are lagged by two periods, their impact on corporate competitiveness becomes relatively more significant. However, when they are further lagged, i.e. by three periods, such an impact turns out to be relatively less pronounced.

The data gathered for this paper was restricted to IT-oriented firms in the UK. Using a secondary database (Datastream), the paper considered the period of 2000-2016.

The research makes a significant contribution to the current debate on the relationship between information technology, innovation and performance, referred to in the literature as the productivity paradox, by studying the problem in the IT industry. It supports organisations from the sector in their efforts to deal with the dynamic nature of technological innovations and of the context where they operate. Methodologically, the way the study has measured the concepts of innovation and performance and the lessons learned from their analysis has also brought value to the research.

The role of inter-organizational knowledge mechanisms (IOKMs) in learning networks is increasing so that the competition of business networks in providing innovations is highly dependent on the effective selection and application of these mechanisms. This study aims to argue that recognizing the classification of IOKMs and understanding their impact on networking capability (NC) makes the selection of mechanisms more effective.

With a systematic review of literature, a comprehensive list of IOKMs, their main characteristics and NCs have been extracted. The authors have used a focus group for data gathering and a hybrid multi-layer decision-making approach for data analysis. Finally, the impact of IOKMs on NC was determined.

By implementing a multi-layer decision-making approach, four categories of IOKMs including person-to-person, co-creation, team-oriented and informational are illustrated and their effects of NC are determined. Therefore, the findings of this research provide latecomer firms (LCFs) managers with a clear framework for selecting IOKMs.

The literature review shows that the number of knowledge mechanisms, especially their inter-organizational types, is increasing. It has made it difficult for LCFs managers to select effective and efficient mechanisms. Most of these mechanisms are listed, and few studies have classified them. Besides, research shows that fewer studies have investigated how IOKMs relate to NC. Furthermore, most studies on IOKMs have been conducted in the context of leading firms and LCFs have been neglected.

Given the recent emergence of China as a dominant economy and internal changes that have led to the encouragement of entrepreneurship and entrepreneurial initiatives, this paper explores whether family dynamics and relationships still play an important role in women's decision to become entrepreneurs. It aims to understand whether there has been a shift in family dynamics and decision-making that supports female entrepreneurship.

Given that the purpose of the study is to understand the role of relationships and family dynamics in their career choice, this study has taken a qualitative approach and carried out interviews with fifteen Chinese female entrepreneurs to understand the role of relationships and family dynamics in their career choice.

The results note that though there are changes in family dynamics that encourage female entrepreneurship, women still find it difficult to choose entrepreneurship as a career and there are unfair expectations that are placed on them. The expectations create undue stress which directly affects their ability to carry out their professional duties. The research suggests that to foster the development of female entrepreneurship, government agencies and local government bodies should provide further access to family support services that can facilitate women's empowerment and foster entrepreneurial thinking without feeling guilty about family commitments or unfair expectations.

Recent studies on women's entrepreneurship have focused on various facets. The role of family dynamics and relationships has long been studied in the context of female entrepreneurship. In emerging economies like China, family dynamics and relationships determine whether women can choose entrepreneurship as a career choice or not. However, there is very limited research on the topic, in the geographical context of China. Hence, this paper is among pioneer research addressing family dynamics in the female entrepreneurship debate in China.

Knowledge management seeks collaborative practices among organisations to generate technical, adapt and share knowledge to obtain a sustainable competitive advantage in cross-border business activities. This paper aims to disentangle the crucial determinants of knowledge management in inter-organisational arrangements settings.

In the first stage, after an in-depth literature review, the main knowledge management drivers are identified. In the second stage, based on the identified drivers, the importance and relationship between the drivers are evaluated by expert opinions from academic and executive activists. Eventually, in the last stage, a multi-layer decision-making approach has been proposed and used to determine the relationship and the importance of the drivers.

The findings of this paper assess the ranking of the different elements from experts’ opinions and discuss important theoretical and managerial implications. The influential factors were identified through an extensive literature review, which combined with the views of experts from academia and industry (international firms). Furthermore, the ranking of factors based on the experts’ overall opinion was used to discuss theoretical and managerial contributions.

This research provides a better understanding of the interrelationships between the key drivers of knowledge management, which helps management draw more effective strategies to address the cultural differences between firms. Moreover, understanding of the importance of the systems and structures that define the nature of the collaboration in inter-organisational settings, as well as the risks related to those are presented in this research.

The experience of successful firms has proven that one of the most important ways to promote co-learning and create successful networked innovations is the proper application of inter-organizational knowledge mechanisms. This study aims to use a resource-action-performance framework to open the black box on the relationship between networking capability and innovation performance. The research population embraces companies in the Iranian automotive industry.

Due to the latent nature of the variables studied, the required data are collected through a web-based cross-sectional survey. First, the content validity of the measurement tool is evaluated by experts. Then, a pre-test is conducted to assess the reliability of the measurement tool. All data are gathered by the Iranian Vehicle Manufacturers Association (IVMA) and Iranian Auto Parts Manufacturers Association (IAPMA) samples. The power analysis method and G*Power software are used to determine the sample size. Moreover, SmartPLS 3 and IBM SPSS 25 software are used for data analysis of the conceptual model and relating hypotheses.

The results of this study indicated that the relationships between networking capability, inter-organizational knowledge mechanisms and inter-organizational learning result in a self-reinforcing loop, with a marked impact on firm innovation performance.

Since there is little understanding of the interdependencies of networking capability, inter-organizational knowledge mechanisms, co-learning and their effect on firm innovation performance, most previous research studies have focused on only one or two of the above-mentioned variables. Thus, their cumulative effect has not examined yet. Looking at inter-organizational relationships from a network perspective and knowledge-based view (KBV), and to consider the simultaneous effect of knowledge mechanisms and learning as intermediary actions alongside, to consider the performance effect of the capability-building process, are the main advantages of this research.