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The study empirically investigates whether the board of directors' expertise in the focal firm's industry has implications for innovation input. Additionally, it explores how this relationship is shaped by the CEO's educational level and background in the technology area.

The article tests the hypothesized relationships through the Arellano–Bond generalized method of moment estimators, proxying innovation input by R&D to total sales. Moreover, it analyses a sample of privately-held Italian medium and large high-tech companies observed over four years by relying on a unique hand-collected dataset.

The research documents an inverted U-shaped relationship between board industry expertise and innovation input and shows that such curvilinear effect is moderated by the CEO's educational level and technology background. Specifically, while the curvilinear slope is less steep for highly educated CEO, it becomes steeper in the presence of technology trained CEO.

The paper recommends how to shape the board human capital as a meaningful driver of board effectiveness and innovation. Additionally, it calls the managerial attention towards the interaction and the interplay between board industry expertise and CEO education as able to influence the above-mentioned outcome.

While previous studies have focused on the linear and positive effect of board industry expertise on innovation, this research advances current knowledge in innovation management literature by testing the presence of a curvilinear relationship. Moreover, by exploring the moderating effect of CEO education, the paper provides a comprehensive picture on the interplay among board industry expertise, CEO educational training and innovation input.

The purpose of this paper is to critically analyze the influence of the algorithm used on scholarly search engines (Garfield’s algorithm) and propose metrics to improve it so that science could be based on a more democratic way.

This paper used a snow-ball approach to collect data that allowed identifying the history and the logic behind the Garfield’s algorithm. It follows on excerpting the foundation of existing algorithm and databases of major scholarly search engine. It concluded proposing new metrics so as to surpass restraints and to democratize the scientific discourse.

This paper finds that the studied algorithm currently biases the scientific discourse toward a narrow perspective, while it should take into consideration several researchers’ characteristics. It proposes the substitution of the h-index by the number of times the scholar’s most cited work has been cited. Finally, it proposes that works in languages different than English should be included.

The broad comprehension of any phenomena should be based on multiple perspectives; therefore, the inclusion of diverse metrics will extend the scientific discourse.

The improvement of the existing algorithm will increase the chances of contact among different cultures, which stimulate rapid progress on the development of knowledge.

The value of this paper resides in demonstrating that the algorithm used in scholarly search engines biases the development of science. If updated as proposed here, science will be unbiased and bias aware.

The COVID-19 pandemic has wrought havoc on economies around the world. The purpose of this study is to learn about the distributional impacts of the pandemic.

The authors contribute new theoretical and empirical evidence on the distributional impacts of the pandemic on different income groups in a multicountry setting. The authors analyze rich individual-level survey data covering 6,082 respondents from China, Italy, Japan, South Korea, the United Kingdom and the United States. The results are robust to various econometric models, including ordinary least squares (OLS), Tobit and ordered probit models with country-fixed effects.

The authors find that while the outbreak has no impact on household income losses, it results in a 63% reduction in the expected own labor income for the second-poorest income quintile. The pandemic impacts are most noticeable for savings, with all the four poorer income quintiles suffering reduced savings ranging between 5 and 7% compared to the richest income quintile. The poor are also less likely to change their behaviors regarding immediate prevention measures against COVID-19 and healthy activities. The authors also found countries to exhibit heterogeneous impacts.

Designing tailor-made social protection and health policies to support the poorer income groups in richer and poorer countries can generate multiple positive impacts that help minimize the negative and inequality-enhancing pandemic consequences. These findings are relevant not only for COVID-19 but also for future pandemics.

The authors theoretically and empirically investigate the impacts of the pandemic on poorer income groups, while previous studies mostly offer empirical analyses and focus on other sociodemographic factors. The authors offer a new multicountry analysis of several prevention measures against COVID-19 and specific health activities.

The purpose of this paper is to analyze the dynamic asymmetric relationship between financial technology (FinTech) adoption and poverty alleviation on annual data for the Sub-Saharan Africa (SSA) region over the period from 2004 to 2020.

This study adopted the general method of moments (GMM) method on annual data for 127 countries including 45 countries from the SSA region over the period from 2004 to 2020.

The study’s findings show that improvement in FinTech may initially decrease the rate of extreme poverty, leading to a decrease in total poverty as a percent of the population. While there is an initial decrease in the rate of extreme poverty with improvements of FinTech, once the FinTech index reaches its threshold level of 37.18 points, further improvement in FinTech tends to decrease as penetration increases, giving rise to an decrease in the rate of poverty alleviation.

Policymakers should design more aggressive and comprehensive policies directed at recouping the maximum gains of FinTech adoption, with a reasonable threshold target.

Policymakers in the SSA region must be aware of a FinTech threshold level of 37.18 points. To ensure the highest reduction in extreme poverty, policymakers must keep investing in FinTech to reach this threshold level.

FinTech improvement leads to poverty alleviation. Policymakers in the SSA region can fully recoup the benefits of FinTech by achieving a pre-set threshold level.

This paper addresses that gap in the literature by studying the impact of FinTech, instead of the traditional financial inclusion measures, on poverty in the 45 countries in the SSA region, exploring the potential dynamic asymmetry of this poverty-FinTech link, and testing the presence and statistical significance of the threshold level of FinTech.

Studies on the work integration of persons with disabilities (PwD) and the role of social dialogue therein are scarce. The study examines how the different systems of workers’ representation and industrial relations in Slovakia and Norway facilitate PwD work integration. Taking a social ecosystem perspective, we acknowledge the role of various stakeholders and their interactions in supporting PwD work integration. The paper’s conceptual contribution lies in including social dialogue actors in this ecosystem.

Evidence was collected via desk research, 35 semi-structured in-depth interviews with 51 respondents and stakeholder workshops in 2019–2020.

The findings from Norway confirm the expected coordination of unions and employers in PwD work integration. Evidence from Slovakia shows that in decentralised industrial relations systems, institutional constraints beyond the workplace determine employers’ and worker representatives’ approaches in PwD integration. Most policy-level outcomes are contested, as integration occurs predominantly via sheltered workplaces without interest representation.

This paper identifies the primary sources of variation in the work integration of PwD. It also highlights opportunities for social partners across both situations to exercise agency and engagement to improve PwD work integration.

By integrating two streams of literature – social policy and welfare state and industrial relations – this paper examines PwD work integration from a social ecosystem perspective. Empirically, it offers novel qualitative comparative evidence on trade unions’ and employers’ roles in Slovakia and Norway.

In today's global business environment, international assignments have become integral part of employee's job profile. Adaptation to a different cultural environment plays a role in affecting employee's performance. In such a situation, cultural intelligence plays an important role. In order to sustain in a diverse work setting, a global organization entails managers who are sensitive to different cultural requirements. Factors affecting cultural intelligence have been a major area of study. However, studies relating short-term foreign trips and their role on four aspect of cultural intelligence are lacking. Therefore, present study was undertaken to know role of foreign visits in affecting cultural intelligence among professionals of diverse background.

The present study is a primary study conducted for a sample of 120 respondents divided into two groups. One group comprised professionals having experience of foreign visits while other group comprised professionals who had not visited a foreign country. We use Levene’s Test for equality of variances was applied to assess the difference of variation of cultural intelligence between two different groups of respondents.

The results revealed that short-term trips play a significant role in affecting metacognitive, cognitive and motivational components of cultural intelligence. However, behavior cultural intelligence is not affected by short-term trips significantly.

Outcome of present research forms basis for future studies that can be conducted linking long-term trips and culture intelligence. This study is practically useful for improving cultural intelligence of professionals to enhance their success and effectiveness in international assignments.

The study adds novelty to the field of cultural intelligence as prior studies were lacking in relating role of short-term trips on four different components of cultural intelligence.

This study aims to investigate how different academic fields within and outside of international business (IB) engage with the topics of social value creation in the context of multinational enterprises (MNEs). The aim is to take stock of the main themes and offer suggestions for future research avenues.

The paper undertakes a scoping review. The authors use the Web of Science database to identify relevant articles. The database search yielded 466 articles. The NVivo software was used to code and identify key thematic areas.

The matrix analysis performed in NVivo yielded 15 main thematic areas spanning 37 research fields. However, further analysis revealed that 89 per cent of the articles originated from 13 fields. Furthermore, while IB journals represent the second-largest field home to publications related to the social value creation of MNEs, they only account for 12 per cent of the sample.

The paper responds to prior calls to reduce disciplinary silos through the performing of a thematic analysis across a multitude of research fields.

This paper aims to strive to close the current research gap pertaining to potential implications of the blockchain for supply chain management (SCM) by presenting a framework built on four established economic theories, namely, principal agent theory (PAT), transaction cost analysis (TCA), resource-based view (RBV) and network theory (NT). These theories can be used to derive research questions that are theory-based as well as relevant for the industry. This paper is intended to initiate and stimulate an academic discussion on the potential impact of the blockchain and introduces a framework for middle-range theorizing together with several research questions.

This paper builds on previous theories that are frequently used in SCM research and shows how they can be adapted to blockchain-related questions.

This paper introduces a framework for middle-range theorizing together with several research questions.

The paper presents blockchain-related research questions derived from four frequently used theories, namely, PAT, TCA, RBV and (NT). These questions will guide future research pertaining to structural (PAT, TCA) and managerial issues (RBV, NT) and will foster middle-range theory development in SCM research.

Blockchain technology has the potential to significantly change SCM. Given the huge investments by industry, academic research is needed which investigates potential implications and supports companies. In this paper, various research questions are introduced that illustrate how the implications of blockchain on SCM can be investigated from different perspectives.

To the best of the author’s knowledge, no academic papers are published in leading academic journals that investigate the relationship between SCM and blockchain from a theory-based perspective.

Significant advances have been made in using applied methodological approaches. These approaches facilitate critical and creative ways to generate new knowledge, encouraging researchers to explore novel research questions which could not be sufficiently addressed using traditional “branded” methodologies. It is important that, in addition to design, researchers consider the most appropriate methods to collect data. The purpose of this paper is to explore the use of the draw and tell method in the context of an interpretive descriptive study.

Given the challenges associated with eliciting responses from adolescent populations, in addition to the use of a semi-structured interview guide, the authors encouraged adolescent participants to produce drawings as part of an interpretive descriptive study.

Despite the fact that drawings are seldom used with adolescents during research interviews, the authors found this method promoted conversation and facilitated deep exploration into adolescents' perspectives.

The authors argue that this creative approach to data collection should be embraced by researchers engaging in applied methodological research, particularly with participants who may be challenging to engage. Drawings, although seldom used with adolescent research participants, can stimulate engagement and facilitate conversations.

Mombasa City in Kenya is one of the most vulnerable towns to flood risk due to its low-lying coastal location. Those at the highest risk in the city are households living in the flood-prone informal settlements. However, little is known about the perception of these vulnerable households to the flood risks and its health impacts, which is important for developing effective long-term adaptation strategies. The purpose of this paper is to examine the general perception of the residents regarding flood risks, its impact on their health and their adaptation strategies.

This study surveyed 390 randomly selected households in three informal settlements in the city of Mombasa using a semi-structured questionnaire. This was supplemented with six focus group discussions (FDGs) and six key informant interviews (KIIs).

The majority of respondent households perceive future flooding as high risk or severe with high negative health impact. Despite this, many do not evacuate their homes because they do not have alternative places to move to. Flooding was indicated to have had a negative physical and mental health impact on members of households. Although majority of households had taken some adaptation measures, most of these were short term, mainly due to financial constraints, lack of knowledge and government support. Perception of flood risk and gender were found to have a strong influence on taking long-term adaptation measures at the household level.

Reducing flood risk and averting its health consequences in flood-prone informal settlements require empowering and supporting those living in these areas with ability to initiate long-term adaptation measures and creating awareness about future risks.

This study provides evidence about how residents of flood-prone informal settlements perceive flood risk and how the exposures to perennial flooding impact their health. The paper augments existing knowledge of flood risk in poor urban neighborhoods of developing countries.