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This study focuses on the impact of green innovation on oil and gas firms’ performance in the MENA region from 2010 to 2020. Return on assets (ROA) was used to measure the financial performance of firms. However, green innovation was measured using two different scores, namely the environmental pillar and the innovation scores. Additionally, we introduced an oil price-moderated variable to examine its effect on the firm’s performance and the green innovation nexus. We collected data from the DataStream database. Regarding our empirical part, we use the generalized least squares method to carry out the analysis. Results showed a positive impact between green innovation scores and the firm’s performance in the MENA region. Also, we found that green innovation has a linear effect on firm performance. Finally, a negative, moderated effect of crude oil prices on green innovation and the firm’s financial performance nexus has been found.

This chapter shows how to construct and test case-based macro models. The chapter makes use of national data to examine influences on quality-of-life of national cultures as complex wholes and entrepreneurship activities in Brazil, Russia, India, China, Germany, and the United States (the six focal nations) plus Denmark (a small-size, economically developed, nation). The study tests McClelland’s (1961) and more recent scholars’ proposition that some cultural configurations nurture entrepreneur startups, while other cultures are biased toward thwarting startups. The study applies complexity theory to develop and empirically test a general theory of cultures’, entrepreneurship’s, and innovation’s impact on quality-of-life across nations. Because culture represents a complex whole of attitudes, beliefs, values, and behavior, the study applies a set-theoretic approach to theory development and testing of alternative cultural configurations. Each of 28 economical developed and developing nations is scored for the level of the national cultures for each of six focal countries. The study selected for the study enables multi-way comparisons of culture-entrepreneurship-innovation-QOL among large- and small-sized developing and developed nations. The findings graphically present the complex national cultural configuration (x-axis) with entrepreneur nurture/thwart (y-axis) of the 28 nations compared to the six focal nations. The findings also include recognizing national cultures (e.g., Switzerland, the United States) nurturing entrepreneurial behavior versus other national cultures (e.g., Brazil and India) thwarting entrepreneurial behavior. The study concludes with a call to recognize the implicit shift in culturally implicit thinking and behavior necessary for advancing national platforms designed to successfully nurture entrepreneurship. Entrepreneur strategy implications include the observation that actions nurturing firm start-ups by nations low in entrepreneurship will unlikely to be successful without reducing such nations’ high levels of corruption.

Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new technologies is that, while organizations often make innovations immediately available, organizational actors are more wary about adopting new technologies because these may impact not only patients and practices but also reimbursement. As a result, innovations may remain underutilized, and organizations may miss opportunities to improve and advance. As innovation adoption is vital to achieving success and remaining competitive, it is important to measure and understand factors that impact innovation diffusion. Building on a survey of a national sample of 654 clinicians, our study measures the extent of diffusion of value-enhancing care delivery innovations (i.e., technologies that not only improve quality of care but has potential to reduce care cost by diminishing waste, Faems et al., 2010) for 13 clinical specialties and identifies healthcare-specific individual characteristics such as: professional purview, supervisory responsibility, financial incentive, and clinical tenure associated with innovation diffusion. We also examine the association of innovation diffusion with perceived value of one type of care delivery innovation – artificial intelligence (AI) – for assisting clinicians in their clinical work. Responses indicate that less than two-thirds of clinicians were knowledgeable about and aware of relevant value-enhancing care delivery innovations. Clinicians with broader professional purview, more supervisory responsibility, and stronger financial incentives had higher innovation diffusion scores, indicating greater knowledge and awareness of value-enhancing, care delivery innovations. Higher levels of knowledge of the innovations and awareness of their implementation were associated with higher perceptions of the value of AI-based technology. Our study contributes to our knowledge of diffusion of innovation in healthcare delivery and highlights potential mechanisms for speeding innovation diffusion.

The introductory chapter includes how to design-in good practices in theory, data collection procedures, analysis, and interpretations to avoid these bad practices. Given that bad practices in research are ingrained in the career training of scholars in sub-disciplines of business/management (e.g., through reading articles exhibiting bad practices usually without discussions of the severe weaknesses in these studies and by research courses stressing the use of regression analysis and structural equation modeling), this editorial is likely to have little impact. However, scholars and executives supporting good practices should not lose hope. The relevant literature includes a few brilliant contributions that can serve as beacons for eliminating the current pervasive bad practices and for performing highly competent research.

The goal of this work is to determine the nature and potential of the impact of the development of strategic alliances on the achievement of the key Sustainable Development Goals (SDGs) of the states.

The study is involved with the use of the universalisation method, statistical analysis method, trend-based method, simulation-based game approach and correlation analysis method. The values of estimated indicators have been determined through the use of these global rankings, identifying their level between 2018 and 2021 in the countries which rank among the leading countries in the field of development of strategic alliances (Malta, Canada, Sweden and Israel).

It has been established that sustainable economic development of strategic alliances scarcely ever has a positive impact on the achievement of the SDGs of the states. It has been established that such interaction is possible if these business entities observe certain terms ensuring the necessary development parameters of components of sustainable development. Conditions of the achievement of effect from the impact of business associations of these goals have been identified empirically.

It has been proven that such business associations as strategic alliances due to the range of their activity and the potential associated with it can act as economic institutions that complement the functions of the state towards the achievement of sustainable development milestones.

The academic novelty of this research is that it substantiates the potential to secure the impact of strategic alliances on the achievement of certain SDGs associated with the observance of certain organisational and economic conditions of strategic management.

Developing entrepreneurial talent is important to sustaining a competitive advantage in a global economy catalyzed by innovation. The importance of quality entrepreneurship education and training has gained national attention, with the introduction by the 106th Congress of the Future Entrepreneurs of America Act (H.R., 1331). Congress is also considering providing technical assistance to secondary, post-secondary, vocational, and technical schools to develop and implement curricula designed to promote vocational and technical entrepreneurship (H.R., 2666).

Purpose – This chapter explores the actual situation of women as patent originators in the European Union (EU) and provides insights into the innovation climate in companies by presenting best-practice examples.

Methodology/approach – Based on a gendered secondary patent database analysis from the European Patent Office (EPO), gender-specific patent data were obtained by a first name assignment, followed by a statistical analysis and input–output comparisons with a focus on high-technology sectors. The best-practice examples are based on expert interviews with male and female inventors.

Findings – The success of women in patenting is lower than their participation in research and development would otherwise predict. The production of technological knowledge depends also on scientific subcultures with dramatic input–output gaps even in feminised sectors. Exemplarily, the case studies reveal success factors on the organisational as well as on team and individual levels which enhance women's performance in the innovation arena.

Research limitations/implications – Further qualitative research is needed to investigate factors in the innovation area which have an impact on the patenting behaviour of men and women.

Social implications – Women are contributing significantly to European patents. Yet overall, their high potential is not being fully included in the innovation process. Their under-representation in patenting should be a concern to policy makers in the EU.

Originality/value of chapter – The availability of gender-disaggregated data in innovation supports the political commitment for the long-term promotion of women's participation in science and technology.

Chapter 5 deals with key drivers allowing waste management systems to meet circular economy goals, targeting a zero waste approach aimed at eliminating waste and changing the concept of waste into secondary materials. Case studies around Europe highlighted conditions and drivers of sustainable urban solid waste management systems; innovation, responsibility, stakeholder engagement, and knowledge sharing are factors enabling effective and viable urban waste management.

This study examines the relationship between board capital, including human and social capital, and corporate innovation. We propose two hypotheses: that a board with a higher level of human and social capital, respectively, is expected to have a higher level of innovation. To test these hypotheses, we use data from different sources, including SEC EDGARD-10k, Noah Stoffman, and S&P 500 Capital IQ for US public firms from all industries from 2000 to 2018. Four different innovation measurements are used to proxy for innovation: R&D, patents, citations, and number of new products. We use directors' level of education and industry experience to proxy for board human capital. The directors' social networks and interlocking ties are used to proxy for board social capital. We use fixed effect regressions to test the hypotheses and two-stage least square (2SLS) regressions to address endogeneity issues. We find that boards with higher levels of human capital are highly associated with corporate innovation in terms of citations. The findings imply that firms should hire directors with higher education and industry experience if they wish to increase their innovation.