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The purpose of this study was to develop a model of skilful surfing to aid understanding of how best to seek health information, online and offline, during pregnancy.

This study used an observational, descriptive design, using a purpose written questionnaire, factor analysis and structural equation modelling.

Analysis resulted in the factor loading of five components: online health information seeking behaviour, normalisation, offline support, trust and data saturation. These components were included as latent variables in an SEM to evaluate the credibility, and subsequently confirm the viability of the theory of skilful surfing.

To the authors' knowledge, this study is the first of its kind to successfully model and define what it is to skilfully surf health information online whilst pregnant, with empirical and theoretical underpinnings.

Drawing on bargaining power and the inequality aversion perspective, this study aims to probe employees’ influence on addressing income inequality between top executives and nonexecutive employees. Meanwhile, it examines the moderating role of employee-related factors and plan attributes.

This study uses a staggered difference-in-differences design with a propensity scoring match approach and verification of the parallel trend assumption to test the hypotheses.

The results support the hypothesis that employee stock ownership plans (ESOPs) significantly reduce within-firm income inequality. The negative effect is amplified by both the presence of trade unions and the unemployment rate at the regional level, as well as the duration of the lock-in period and the scale of participants within the stock ownership plan.

This study has implications for income inequality research and ESOP design and provides theoretical support for policymakers and corporate governance.

This study contributes to the literature on income inequality by examining the implementation of ESOPs from the employee perspective. Furthermore, it extends the current literature by investigating the strengthening effects of regional factors and ESOP attributes on the relationship between ESOPs and income inequality. The conclusions provide new empirical evidence to promote the effective implementation of ESOPs by combining internal and external factors.

Replication is a primary self-correction device in science. In this paper, we have two aims: to examine how and when the results of replications are used in management and organization research and to use the results of this examination to offer guidelines for improving the self-correction process.

Study 1 analyzes co-citation patterns for 135 original-replication pairs to assess the direct impact of replications, specifically examining how often and when a replication study is co-cited with its original. In Study 2, a similar design is employed to measure the indirect impact of replications by assessing how often and when a meta-analysis that includes a replication of the original study is co-cited with the original study.

Study 1 reveals, among other things, that a huge majority (92%) of sources that cite the original study fail to co-cite a replication study, thus calling into question the impact of replications in our field. Study 2 shows that the indirect impact of replications through meta-analyses is likewise minimal. However, our analyses also show that replications published in the same journal that carried the original study and authored by teams including the authors of the original study are more likely to be co-cited, and that articles in higher-ranking journals are more likely to co-cite replications.

We use our results to formulate recommendations that would streamline the self-correction process in management research at the author-, reviewer- and journal-level. Our recommendations would create incentives to make replication attempts more common, while also increasing the likelihood that these attempts are targeted at the most relevant original studies.

This study has aimed to analyse the role of innovation-sharing collaboration in the large-scale manufacturing of Covid-19 vaccination across the globe and its impact on the mortality rate of the countries where the pharmaceutical manufacturers received such innovation.

The authors have relied upon the difference-in-difference (DID) approach by utilizing the data available on public platforms such as World Health Organization (WHO) databank, organization for economic co-operation and development (OECD) data bank, istat, Indian bureau of statistics and European centre for disease prevention and control (ecdc) from 2020 to 2021 to establish the empirical inference of the analysis.

This study’s results present that after the invention and commercialization of the vaccine, the Covid-19 impact was still intact and people were dying continuously. However, it was impossible to fulfil the demand of the 7 billion population in a short time. In the light of these facts, the WHO encouraged sharing vaccine innovation with other countries to enhance production capacity. The authors found that after vaccine innovation sharing, Covid-19’s devastation slowed: the fatality rate was marginally reduced, and economic conditions started their recovery journey.

This study’s findings present that the Covid-19 vaccine played a pivotal role in tackling the Covid-19’s devastating impact on the entire world. It emphasizes the role of innovation-sharing collaborations in curtailing hazardous consequences, including the mortality rate during a crisis, and such collaborations’ impact on the countries where institutions involved in them reside.