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The present study aims to contribute to the growing stream of literature about the network perspective of value co-creation via key account management (KAM) by exploring how firms, in complex industrial markets, use key account strategies to create value, not only for buyers and sellers of industrial products/services but also, more widely, for larger ecosystems of stakeholders. The research question this paper seeks to address is how the KAM approach promotes value co-creation in multi-stakeholder ecosystem.

To answer this research question, this study uses a qualitative research approach based on data triangulation. This study focuses on the market access (MA) strategies implemented by a multinational UK-based pharmaceutical company within the Italian multi-stakeholder health-care ecosystem over several years.

The results show that KAM in complex networks acts as a catalyst for value creation, through multiple interactions with different actors and an ad hoc configuration of five strategic levers: product performance, economic impact, institutional relationships, commercial organization and communication. These levers are able to unlock the appropriate value drivers and form a specific “market access mix” implemented by the firm to both promote the adoption of the firm’s products and generate value for all market stakeholders.

The study offers an innovative and comprehensive evidence-based model for designing specific MA strategies aimed at co-creating value within multi-stakeholder ecosystems. The proposed MA mix outlines the fact that knowledge, relationships and innovation are not unique factors that can be leveraged by stakeholders to co-create value.

This study explored the motives, relationship dynamics and outcomes of male executives in mentoring Black African women within the context of South Africa. The authors investigated the experiences of White, Black African, coloured, and Indian male mentors conducting cross-gender and cross-race mentoring in South Africa.

A qualitative study was conducted with 21 male executives within South Africa's male-dominated financial services industry. Data were collected via semi-structured, one-on-one virtual video interviews. The study endeavoured to deeper understand the mentors' experiences during their interactions with the intersecting marginalised identities of Black African women as protégés.

The authors found that the mentoring relationship is central to mentoring Black African women. This relationship is often influenced by the mentors' parental approach to mentoring, with resultant negative consequences, including the protégé not taking accountability for driving the relationship. Mentors' stereotypical expectations of women as homemakers and carers also influenced mentoring experiences. Mentors' motives included growing next generation leaders, which led to mentors' job satisfaction.

This study contributes an account of male executives' motivations for mentoring Black African women, the relationship dynamics as well as negative mentoring experiences, and the mentoring outcomes for protégés and mentors. Intersectionality theory was used to highlight the mentors' lack of insight into the intersecting marginalised identities of Black African women in the unique South African context, where inequalities in terms of class, race, and gender are amplified.

Whether by direct or indirect action (or by inaction), multinational enterprises (MNEs) can have both a positive and a negative effect on within-country social and economic inequality. This paper aims to comment on this multifaceted relationship between MNEs and within-country inequality.

Given the absence of either robust theory or evidence in the neglected realm of MNEs and within-countries inequalities, this paper offers some general observations, highlights some of the key issues and illustrates possible avenues for future research studies.

The capacity of MNEs to upgrade economic activity in the host country is a key policy objective. MNEs have arguably contributed to reducing income inequalities between countries. However, the limited evidence available suggests that the gains of FDI are rarely evenly distributed within recipient countries, and many of the underlying dynamics need further investigation.

The authors broaden the engagement with inequality beyond income levels, as this is just one aspect of inequality that shapes or impedes human development. They believe it is necessary – for both MNEs and policymakers – to have a more nuanced understanding of how, and under what circumstances, the presence of MNEs affects inequality in host economies.

This paper relates the large literature on inequality (going beyond the mainstream focus on income inequality) to the mainstream understanding of MNE-assisted development.

This exploratory study aims to discover the different forms of challenges encountered by school stakeholders, including students, teachers, parents and management due to the coronavirus disease 2019 (COVID-19) pandemic.

Qualitative methodology was deployed for the study. A purposive sampling technique was used to select the respondents for a semi-structured interview. Data were examined using interpretative phenomenological analysis (IPA).

It was found that each stakeholder faced four different challenges: mental distress, physical immobility, financial crunches and technological concerns. Findings suggest that teachers are experiencing higher financial, technological and physical challenges as compared to other stakeholders followed by parents.

This paper discusses the major challenges faced by each stakeholder along with the opportunities. These findings will be useful for educationists, regulatory authorities, policymakers and management of educational institutions in developing countries to revisit their policy frameworks to develop new strategies and processes for the smooth implementation of remote learning during a period of uncertainty.

The purpose of this paper is to evaluate an English Proficiency (EP) programme and its efficacy with respect to students' academic performance in a university within a multi-lingual context, as the programme had been in effect for some years.

A quasi-experimental approach was used to study the efficacy of an EP programme in a university within a multilingual context. Data across two academic years were used, along with regression discontinuity design.

Results suggest that the EP programme had a significant and positive intervention effect on students' initial semester grade point average. The programme effect size was found to be medium to large.

It might be useful to extend the study for one more year for more concrete conclusions. As the study was anchored upon the structure of the 2016 EP programme, any major curricular/structural change to the programme warrants another study.

This study demonstrated that the implementation of EP programmes in higher education institutions is essential not only for international students who are foreign language speakers of English but also for domestic students in English-speaking countries, especially for bi/multilingual speakers.

Previous studies related to the efficacy of EP within higher education have focused on international students who speak English as an additional/foreign language. Further, most studies have focussed on students' self-reported experiences and have yielded disparate findings. This study contributes to scholarship as it addresses the under-researched area related to domestic students who speak English as the first language in a bi/multi-lingual context.

The purpose of this paper is to use the practical application of tools provided by social network theory for the detection of potential influencers from the point of view of marketing within online communities. It proposes a method to detect significant actors based on centrality metrics.

A matrix is proposed for the classification of the individuals that integrate a social network based on the combination of eigenvector centrality and betweenness centrality. The model is tested on a Facebook fan page for a sporting event. NodeXL is used to extract and analyze information. Semantic analysis and agent-based simulation are used to test the model.

The proposed model is effective in detecting actors with the potential to efficiently spread a message in relation to the rest of the community, which is achieved from their position within the network. Social network analysis (SNA) and the proposed model, in particular, are useful to detect subgroups of components with particular characteristics that are not evident from other analysis methods.

This paper approaches the application of SNA to online social communities from an empirical and experimental perspective. Its originality lies in combining information from two individual metrics to understand the phenomenon of influence. Online social networks are gaining relevance and the literature that exists in relation to this subject is still fragmented and incipient. This paper contributes to a better understanding of this phenomenon of networks and the development of better tools to manage it through the proposal of a novel method.

Disasters and armed conflict often co-occur, but does that imply that disasters trigger or fuel conflict? In the small but growing body of literature attempting to answer this question, divergent findings indicate the complex and contextual nature of a potential answer to this question. The purpose of this study is to contribute a robust cross-country analysis of the co-occurrence of disaster and conflict, with a particular focus on the potential role played by disaster.

Grounded in a theoretical model of disaster–conflict co-occurrence, this study merges data from 163 countries between 1990 and 2017 on armed conflict, disasters and relevant control variables (low human development, weak democratic institutions, natural resource dependence and large population size/density).

The main results of this study show that, despite a sharp increase in the co-occurrence of disasters and armed conflict over time, disasters do not appear to have a direct statistically significant relation with the occurrence of armed conflict. This result contributes to the understanding of disasters and conflicts as indirectly related via co-creation mechanisms and other factors.

This study is a novel contribution, as it provides a fresh analysis with updated data and includes different control variables that allow for a significant contribution to the field.

This study aims to investigate how dynamic tensions between performance measurement system (PMS) uses enable organizations to achieve both exploitation and exploration and enhance firm performance.

The authors collected survey data on 153 Italian companies. Scales for each construct were validated through an exploratory factor analysis. Data on firm performance were cross-validated by using lagged accounting data. The authors tested our hypotheses using hierarchical ordinary least squares regressions, together with bootstrapping procedures for the test on mediation.

A diagnostic use of PMS has a positive association with both exploitation – e.g. reductions in total costs and lead times – and exploration, e.g. introduction of new products and extension of product ranges. The dynamic tension created by a joint diagnostic and interactive use has the strongest association with organizational ambidexterity, measured as the multiplicative interaction between exploration and exploitation.

If an organization or business unit is mainly pursuing exploitative goals, a mainly diagnostic use of PMS would be most suitable. If goals are both exploitative and explorative, a mix of diagnostic and interactive uses would be most effective.

This research helps reconcile conflicting views in the literature. The diagnostic use of PMS, far from acting as a “negative force,” appears to be necessary to guide opportunity search and to establish an appropriate scope for exploration-related activities. The authors’ focus on the uses of PMSs shows that ambidexterity is achieved through managerial capability, rather than just through the introduction of systems and structures.

This paper aims to identify the factors that are constraining technological innovation to support the development of coalbed methane in China.

The analysis applies ideas relating to national and sector systems of innovation to explain why China’s strategies to support research and technological innovation have failed to stimulate the desired progress in coalbed methane production. It also provides a counter-example of the USA that implemented a number of measures in the 1970s that proved very effective.

The deficiencies of China’s research and development strategies in support of coalbed methane development reflect the national and sectoral systems of innovation. They are exacerbated by the structure of the national oil and gas industry. Key constraints include the excessively top-down management of the national R&D agenda, insufficient support for basic research, limited collaboration networks between companies, research institutes and universities and weak mechanisms for diffusion of knowledge. The success of the USA was based on entirely different systems for innovation and in quite a different industrial setting.

The originality of this analysis lies in placing the challenges facing research and innovation for China’s coalbed methane development in the context of the national and sectoral systems for innovation and comparing with the approach and success of the USA.