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The purpose of this paper is to provide interested parties with the means of grasping how the literature on open innovation has evolved over the course of time. In this way, the authors furthermore contribute towards a better understanding, scaling and positioning of this field of research.

This study applies a combination of bibliometric techniques, such as citations, co-citations and social network analysis in order to map the scientific domain of open innovation. Currently, bibliometric analysis represents a methodology in effect on a global scale to evaluate the existing state of fields of research (Mutschke et al., 2011). This spans the application of quantitative and statistical analysis to publications such as articles and their respective citations and serving to evaluate the performance of research through returning data on all of the activities ongoing in a scientific field with summaries of these data generating a broad perspective on the research activities and impacts, especially as regards the researchers, journals, countries and universities (Hawkins, 1977; Osareh, 1996; Thomsom Reuters, 2008).

This research aims to map and analyse the intellectual knowledge held on open innovation. To this end, the authors carried out a bibliometric study with recourse to co-citations. Based on cluster and factorial analyses, it is possible identify and classify the several theoretical perspectives on open innovation across six areas: open innovation concept, open innovation and networks, open innovation and knowledge, open Innovation, and innovation spillovers, open innovation management and open innovation and technology.

This paper aims to map and analyse the intellectual knowledge held on open innovation.

Private label brands of food products are an important component of many consumers’ purchases, as well as an integral element of the retail industry. The purpose of this paper is to examine the moderating role of trust on food private label brands’ purchase intention and loyalty.

For this purpose, the authors propose and empirically test a conceptual model comprising variables such as price, familiarity and store image. A sample of 445 respondents was gathered, and the hypotheses were tested performing structural equation modelling.

The findings highlight the moderating influence of trust on consumers’ loyalty to food private label brands. In addition, the results obtained reveal the substantially great influence of private label brand familiarity on purchase intention and loyalty. So, it seems that consumer trust and loyalty are strongly associated regarding food private label brands.

The authors suggest that trust of food private label brands allows retailers to increase consumer loyalty.

Consequently retail managers should consider the enhancement of trust in the context of a marketing strategy formulation for food private label brands.

The present study provides insights into the moderating effect of trust on loyalty to food private label brands, as well as evidence of the strong influence of familiarity on private label brands’ proneness, related to food products.

Literature has recognised entrepreneurship education as the main conduit through which entrepreneurial behaviours, attitudes and actions can be built, enacted and delivered. Since the founding of new ventures is largely a resourceful founder-driven enterprise, entrepreneurship education has largely centred on galvanising and shifting the mindsets and cognition of the entrepreneur. Yet, despite over 60 years of delivering entrepreneurship education programmes, hard evidence of the generation of high-growth-oriented and sustainable ventures has been scarce as student entrepreneurship intentions do not always translate into successful venture creation. This is largely because of the complexities of the practicality of entrepreneurial education particularly, the dissonance between acquired education in business schools and the knowledge and competencies needed in the entrepreneurial field. Such dissonance can be attributed to the lack of clarity on the pedagogical approach that most resonates with entrepreneurial action, the diversity in assessment methods and the scholarly illusion pertaining to how pedagogical approaches can be channelled to the generation of growth-oriented ventures. Drawing on Girox's concepts of transformative critical pedagogy (including pedagogy of repression), Socratic dialogue, Hegelian dialectic and Yrjö Engeström's transformative expansive agency, I demonstrate how a flipped transformative critical pedagogy can be harnessed in digitally enhanced learning environments to create new entrepreneurial possibilities for facilitating critical inquiry, complex problem-solving, innovation for the market and fostering tolerance for failure in ambiguous entrepreneurial contexts.

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.

Every community with the potential to organize a festival aims to actualize increased participation to transform the community image and socio-cultural cohesion. Hence, this study aims to investigate the motivational factors influencing festival participation of Eyo and Ojude Oba in southwestern Nigeria, using the push and pull and activity theories as theoretical footing.

Primary data was collected through questionnaire administration on members of the host communities. Geospatial data was collected on the number of buildings through high-resolution satellite imagery and maps sourced from the Cooperative Information Network (COPINE) of the National Space Research and Development Agency (NASRDA). Systematic sampling procedure was adopted to select 3% of the estimated 5231 and 4,934 buildings within the designated zones in Lagos Island and Ijebu Ode, respectively. In this case, 314 and 148 respondents were sampled in Lagos Island and Ijebu-Ode, respectively. Data collected were analyzed using mean index and factor analysis (principal component analysis).

This study revealed that the factors influencing participation of Eyo and Ojude Oba festivals comprise six and three factors, respectively, with varying contributions. Eyo festival explained 75.34% variance with varying factors extracted which are psychosocial (22.9%), proximity/mobility (9.93%), facility (13.41%), environmental/cultural (12.2%), demographic (10.65%) and health/safety factors (6.25%). While factors influencing Ojude-Oba festival comprises of sociocultural/psychological (35.44%), facilities/mobility (28.00%) and demographic factor (8.51%), thereby explaining 71.95% variation of factors influencing its participation. The study therefore, prove policy response in enhancing the destination receptors based on the influencing factors to promote positive words of mouth and encourage visitors’ intention to revisit.

This study focused on two distinguished festivals with internal homogenous and external heterogeneous features (Eyo and Ojude-Oba festivals). Ojude-Oba is an annual festival of class, whereas Eyo is non-annual traditional festival. Both festivals are mega, with similarities in the activities engaged in by the visitors and members of the communities, inform of colorful display of costumes, dances, chanting of songs and group parades among other activities.

The purpose of this paper is to investigate the impact of foreign direct investment (FDI) on the stock market development in Nepal.

The study used Johansen cointegration approach to determine long-run relationship and VEC Granger causality test to check the causal relations between the variables. The sample covered annual time-series data for the period 1996–2020.

The results suggest that FDI plays significant positive role in the stock market development in the long-run but inversely affect in the short-run. Unidirectional causality running from FDI to stock market development is observed in the long-run and bidirectional in the short-run. There is an insignificant positive relationship between exchange rate and FDI in the short-run. Banking sector development complements stock market development in the short-run but act as a substitute in the long-run. The statistically negative coefficient of exchange rate imply that the appreciation of the home currency encourage the development of the stock market in the long-run.

The positive and statistical coefficients of cointegration results indicate that FDI complements the development of stock market in Nepal in the long-run. Furthermore, the depreciation of the domestic currency may potentially contribute to the foreign direct investments in Nepal.

This article investigates (in)direct relationships between team-level entrepreneurial orientation and team performance, where team entrepreneurial orientation (EO) is measured as a team-level construct, not as concentration of team members' scores. In this article, the authors present and explore how EO-oriented behaviour within a team affect its performance, taking into account the team's trust in a manager and commitment to team and company goals.

This article focuses on a quantitative analysis of 55 teams operating within a large high-tech manufacturing enterprise, gathered through a traditional survey. The conceptual framework for this research was based on the theories of organisational citizenship, extra-role behaviour and social exchange. The authors explain how contextual factors establish a framework which enables team EO transformation towards higher performance of teams.

The results show that (team) performance benefits from EO-related behaviours. However, individual dimensions of EO are not universally beneficial and need to be combined with a mutual trust and/or commitment to team enterprise's goals to achieve high performance.

The findings provide important insight into which team factors may be targeted at the intervention or support of team members, including managers and immediate superiors who lack an active personality and are not willing to take risks at workplace. The authors adopted EO instruments, mutual trust and commitment from an individual scale to a team one, and also offer new opportunities to analyse such phenomena from a new level and evaluate them from the perspective of team managers.

This paper aims to investigate Lean Six Sigma (LSS) in the Brazilian context, seeking to identify its main characteristics and opportunities for future research.

This study focuses on a literature review in the area of production engineering and operations management, where 104 relevant scientific publications were identified.

The results show that the most important critical success factor for integrating LSS in Brazil is top management support and commitment. LSS integration occurs predominantly in large industrial companies, being incipient in small and medium-sized enterprises. In general, there is no structured way of applying LSS. A standard framework for LSS is still lacking.

This study is limited to a sample that only comprises Brazilian scientific studies.

Professionals and practitioners can understand the evolution of LSS through practical applications and the main LSS tools used in both the industrial and services sectors. It also points out the critical success factor for the implementation of LSS. The study highlights several roadmaps for LSS implementation adopted by large and modern Brazilian automotive industries based on a robust technological base. This study also contributes to expanding the evidence base of LSS application, both in Brazil and in other countries.

Some suggestions are proposed to clarify the structure and complexity of integrated implementation of LP and SS as well as expand the LSS application in small and medium-sized enterprises. This study is the first to discuss the current situation of LSS in Brazil and provide suggestions to expand LSS in the country. Comparisons of Brazilian LSS literature review with researches of others countries are also presented.

The purpose of this paper is to describe and identify the ranking of innovation program landscape in the UK. The identification will focus on the average of four categories: policy, culture, economy, and industry.

The nature of this research is mainly qualitative. This investigation uses two semi-structured interview based in the UK, combined with an examination of organizational documents.

The research findings indicated highest ranking of the Petchey Center of Entrepreneurship located in University of East London present culture 60 percent, policy 75 percent, industry 80 percent, and economy 100 percent.

The authors conclude with several recommendations for academia and practitioners such as governments, policy makers, funded organizations, and strategic institutions.

The purpose of this study is to examine the relationship between trade, foreign direct investment (FDI) and income inequality for Commonwealth of Independent States (CIS), using annual data from 1990 to 2016. The study attempts to answer a critical question: does openness affect income distribution?

The analysis of the model involves the examination of likely non-linear effects of both trade and FDI on income distribution. Therefore, system-generalized method of moments (SYS-GMM) estimator was applied to mitigate the problem of non-linearity and possible endogeneity. In the second stage, the model was extended to test the impact of education on income inequality. The hypothesis is that secondary school enrollment speeds up the process of adoption of contemporary technology and decreases inequality.

Trade and FDI have significant effects on income inequality when interacted with Gini-index; in case of trade, an inverted U-shaped curve holds as purposed by the trade theory. The components-wise effect of trade was held, except imports from advanced countries was found insignificant. Moreover, results were not found significant in case of human development index. Different results were found when trade and FDI interacted with education, which represents an important channel through which inequality is affected.

The study implies that CIS needs to re-design trade and FDI policies by encouraging trade and FDI inflows into industries and sectors aligned with structural adjustments, domestic industries uplift and investment in social infrastructure.

This is the first study that has examined the impact of openness of income distribution in case of CIS.