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The present study examines the initial working capital policy (WCP) and its evolution for newly established manufacturing firms.

Using panel data of 162 firms over a period of 10 years, the study analyses the persistence-cum-convergence in WCP over the subsequent years through descriptive analysis and difference of means test. Further, the prevalence of ß – convergence, and σ-convergence has been examined using standard least squares regression, dynamic panel analysis and the Wald test.

The results indicate that sample firms continue to follow the initial WCP in the subsequent years with a gradual convergence in the WCP. Alternatively, the firms with aggressive (conservative) WCP at the time of incorporation will continue following it. Further, the firms with aggressive initial WCP have witnessed higher growth than those with conservative initial WCP.

Findings will assist managers and practitioners to understand the dynamics of WCP over the life cycle of the firm and select appropriate WCP as certain policies lead to certain growth paths.

Though working capital management has been recognized as a critical managerial decision, limited research is available on its evolution, especially for newly established manufacturing companies in an emerging economy. Current research attempts to fill this gap and provide valuable insights for the effective management of liquidity.

We study how one form of wrongdoing behavior – gender-based discrimination – evolved and steadily grew amongst longshoremen over seven decades (from 1947 to 2017), despite changes in the nature of work and technological innovations that made the occupation increasingly accessible to women. Using data collected from 72 interviews with retired and active longshoremen and their employers, supplemented with archival and observational data, we find that although women were permitted into the occupation at the beginning of the period (1947 to the 1960s), they were progressively, completely excluded by male longshore workers. We find that after experiencing imprinting (the idea that early experience exerts a crucial influence on later behavioral phenomena) (Immelmann, 1975) during early decades, longshoremen instrumentalized their fear of occupational decline and voluntarily engaged in organizational wrongdoing by discriminating against women. Men rationalized their exclusion of women through two means: first, by adapting the “Madonna vs temptress” paradigm of framing women, and second by strategically emphasizing self-serving justifications. This study contributes to the literature on gendered work and the difficulty of eliminating imprinted, entrenched behaviors in gendered occupations.

There are uncertainties concerning how innovators can successfully venture into disruptive innovations and how incumbents can react to the emergence of such innovations. Disruptive digital innovations, which use information technology to disrupt business contexts and can evolve rapidly to either successes or failures, have unique challenges. The literature has largely remained silent concerning these. Also, existing studies often focus on innovations originating in developed economies and just on successful cases. There is a lack of comparative focus on successful and failure cases emerging across economies. The purpose of this paper is to fill these gaps.

This paper assesses the evolution of disruptive digital innovations in various contexts through a financial management-motivated conceptual framework. Contrary to existing works, this paper focuses on both successful and failure cases and regards the influence of various stakeholders further to innovators and incumbents to explain the successes or failures of the innovation.

There are some common success factors for disruptive digital innovation. These include an inherent focus on social value, alignment to financiers' interests and rivals' actions and strategic collaborations to create a synergy effect.

Innovators can cause effective digital disruption by focusing on social and financial values. Success can also largely depend on strategic partnerships rather than actions by an individual entity. Thus, venturing and managing disruptive digital innovation is not an isolated but a social process.

This paper recommends propositions for innovators and incumbents to venture into and confront disruptive digital innovations effectively. Its originality lies in focusing on both successful and failure cases, unexplored in literature, to develop the propositions.

This study aims to explore the manifold implications – health, environmental and economic – of integrating coworking spaces (CSs) into residential settings. The research emphasizes the health-related potential and connected benefits of situating these contemporary spaces of work in retrofitted buildings.

The research highlights the potential of retrofitted buildings – owing to their urban locations, existing infrastructure, and available space – to accommodate CSs. Employing the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology, the paper systematically reviews literature from 2010 to 2021. It investigates the influence of residential CSs on health, community cohesion and environmental sustainability.

The results indicate that integrating CSs within residential areas can significantly enhance user wellbeing, create a healthier residential environment and positively impact the broader community. Retrofitted buildings emerge as optimal venues for CSs due to their urban positioning and potential to contribute to users' physical, mental and social health. However, the strategic (re)use of retrofitted buildings is crucial, alongside planning to address potential downsides like gentrification.

The study is based on a literature review and may not fully capture the specificities of certain regional or local conditions that could affect the health benefits associated with CSs. In addition to that, the study primarily references European-centric research between 2010 and 2021, indicating a need for more diverse geographic and cultural studies. Further empirical studies are needed to validate the findings behind the following study.

The findings of this study can guide urban planners, policymakers and architects in assessing the feasibility of converting residential buildings into CSs and planning relevant activities. They can leverage the potential health benefits to promote CSs and encourage healthier lifestyle practices in residential communities.

Introducing CSs in residential areas can lead to reduced commuting stress, opportunities for physical activities and social interactions, and healthier lifestyle practices. These benefits can enhance the overall well-being of individuals and communities, fostering a stronger social fabric in urban settings.

This research is novel in examining the health benefits associated with CSs in residential areas and the role of retrofitted buildings in promoting such advantages.

The scientific community shares a heritage of knowledge generated by several different fields of research. Identifying how scientific interest evolves is relevant for recording and understanding research trends and society’s demands.

This article presents SciBR-M, a novel method to identify scientific interest evolution from bibliographic material based on Formal Concept Analysis. The SciBR-M aims to describe the thematic evolution surrounding a field of research. The method begins by hierarchically organising sub-domains within the field of study to identify the themes that are more relevant. After this organisation, we apply a temporal analysis that extracts implication rules with minimal premises and a single conclusion, which are helpful to observe the evolution of scientific interest in a specific field of study. To analyse the results, we consider support, confidence, and lift metrics to evaluate the extracted implications.

The authors applied the SciBR-M method for the Educational Data Mining (EDM) field considering 23 years since the first publications. In the digital libraries context, SciBR-M allows the integration of the academy, education, and cultural memory, in relation to a study domain.

Cultural changes lead to the production of new knowledge and to the evolution of scientific interest. This knowledge is part of the scientific heritage of society and should be transmitted in a structured and organised form to future generations of scientists and the general public.

The method, based on Formal Concept Analysis, identifies the evolution of scientific interest to a field of study. SciBR-M hierarchically organises bibliographic material to different time periods and explores this hierarchy from proper implication rules. These rules permit identifying recurring themes, i.e. themes subset that received more attention from the scientific community during a specific period. Analysing these rules, it is possible to identify the temporal evolution of scientific interest in the field of study. This evolution is observed by the emergence, increase or decrease of interest in topics in the domain. The SciBR-M method can be used to register and analyse the scientific, cultural heritage of a field of study. In addition, the authors can use the method to stimulate the process of creating knowledge and innovation and encouraging the emergence of new research.

In the evolution process of building construction accidents, there are key nodes of risk change. This paper aims to quickly identify the key nodes and quantitatively assess the node risk. Furthermore, it is essential to propose risk accumulation assessment method of building construction.

Authors analyzed 419 accidents investigation reports on building construction. In total, 39 risk factors were identified by accidents analysis. These risk factors were combined with 245 risk evolution chains. Based on those, Gephi software was used to draw the risk evolution network model for building construction. Topological parameters were applied to interpret the risk evolution network characteristic.

Combining complex network with risk matrix, the standard of quantitative classification of node risk level is formulated. After quantitative analysis of node risk, 7 items of medium-risk node, 3 items of high-risk node and 2 items of higher-risk nodes are determined. The application results show that the system risk of the project is 44.67%, which is the high risk level. It can reflect the actual safety conditions of the project in a more comprehensive way.

This paper determined the level of node risk only using the node degree and risk matrix. In future research, more node topological parameters that could be applied to node risk, such as clustering coefficients, mesoscopic numbers, centrality, PageRank, etc.

This article can quantitatively assess the risk accumulation of building construction. It would help safety managers could clarify the system risk status. Moreover, it also contributes to reveal the correspondence between risk accumulation and accident evolution.

This study comprehensively considers the likelihood, consequences and correlation to assess node risk. Based on this, single-node risk and system risk assessment methods of building construction systems were proposed. It provided a promising method and idea for the risk accumulation assessment method of building construction. Moreover, evolution process of node risk is explained from the perspective of risk accumulation.

This paper aims to propose a method for better discovering topic evolution path and semantic relationship from the perspective of patent entity extraction and semantic representation. On the one hand, this paper identifies entities that have the same semantics but different expressions for accurate topic evolution path discovery. On the other hand, this paper reveals semantic relationships of topic evolution for better understanding what leads to topic evolution.

Firstly, a Bi-LSTM-CRF (bidirectional long short-term memory with conditional random field) model is designed for patent entity extraction and a representation learning method is constructed for patent entity representation. Secondly, a method based on knowledge outflow and inflow is proposed for discovering topic evolution path, by identifying and computing semantic common entities among topics. Finally, multiple semantic relationships among patent entities are pre-designed according to a specific domain, and then the semantic relationship among topics is identified through the proportion of different types of semantic relationships belonging to each topic.

In the field of UAV (unmanned aerial vehicle), this method identifies semantic common entities which have the same semantics but different expressions. In addition, this method better discovers topic evolution paths by comparison with a traditional method. Finally, this method identifies different semantic relationships among topics, which gives a detailed description for understanding and interpretation of topic evolution. These results prove that the proposed method is effective and useful. Simultaneously, this method is a preliminary study and still needs to be further investigated on other datasets using multiple emerging deep learning methods.

This work provides a new perspective for topic evolution analysis by considering semantic representation of patent entities. The authors design a method for discovering topic evolution paths by considering knowledge flow computed by semantic common entities, which can be easily extended to other patent mining-related tasks. This work is the first attempt to reveal semantic relationships among topics for a precise and detailed description of topic evolution.

This paper aims to quantitatively explore the trends and patterns of the existing literature in the gig economy.

Using a total of 1,707 documents retrieved from the Scopus and Web of Science databases, bibliometric analysis using R-Biblioshiny and VOSviewer software was performed to map the studies in the gig economy.

The paper provides information on the most productive authors, countries and journals, as well as the emerging themes in gig research. It highlights the most prolific authors, with a notable presence from the USA and the UK, which are also the countries with the most publications and citations. China has also emerged prominently, both in terms of the number of publications and its involvement in thematic clusters and trending topics. Through co-word analysis and thematic clustering, the study provides information about emerging themes in gig economy studies, such as labor, technology, management and precarity. The results provide insightful information for comprehending the effects of gig labor in the contemporary workforce.

This study provides a comprehensive overview of the scholarly literature related to the gig economy, exploring the key insights by highlighting the evolving trends in gig research.

By mapping thematic clusters, tracking research evolution and identifying trending topics, it provides a unique perspective on the field's development and emerging areas of focus. It serves as a valuable means for addressing the challenges and opportunities presented by the gig economy.

This study aims to present the evolution of decent work studies. Findings point to several directions for future research efforts, including conceptualizing decent work and the pandemic’s associated impact. Results will help to guide government authorities to promote decent work by delivering fair income, increasing the stability and security of employment and monitoring employees’ work-life balance.

This review consists of knowledge mapping based on keywords from multidisciplinary studies on decent work and the preferred reporting items for systematic reviews and meta-analyses (PRISMA) model on tourism and hospitality studies. First, keyword knowledge mapping was conducted in VOSviewer, resulting in 667 papers. Then, a PRISMA model generated a systematic review of the literature in tourism and hospitality based on 41 papers.

Knowledge mapping revealed six thematic clusters, namely, Labor Rights and Gender Equality, Sustainability and Health, Psychology of Working Theory, Conceptualization of Decent Work, Marginalized Groups and Unemployment and Job Quality. According to the PRISMA model, the conceptual evolution of decent work in tourism and hospitality can be divided into three stages: initial (1999–2008), emerging (2009–2018) and development (2019–present).

Based on the findings, further interdisciplinary research into decent work is recommended. Scholars in the tourism and hospitality sector can incorporate other fields of decent work, such as psychology, to broaden the lens of studies to discover the role of meaning and purpose in the workplace and to promote the concept to its fullest extent. Furthermore, employees’ assessments of decent work might help businesses improve human resources management via corporate social responsibility measures.

To the best of the authors’ knowledge, this study is the first systematic review of decent work in tourism and hospitality. It shows that this notion is in its infancy, as most studies on the topic thus far have been empirical and descriptive. Nonetheless, most findings contribute to knowledge and practice by clarifying industry employment conditions.

This paper aims to explore the existence of convergence in non-monetary working conditions in Europe resorting to widely used definitions of this phenomenon and composite indexes of job quality.

The analysis relies on composite indexes, widely used in previous literature, for 207 regions in six different areas of job quality drawing on the microdata of the European Working Conditions Survey from 1995 to 2015. This study assesses the occurrence of convergence both in terms of dispersion of job quality outcomes (sigma-convergence) and, especially, regarding the existence of a catch-up process (beta-convergence).

This study finds evidence of both types of convergences in all the domains, with the exception of skills and discretion and prospects dimensions according to the sigma-convergence approach. The results do not suggest substantial differences between the 15 European Union countries before the 2004 enlargement and the new Member States and are robust to a wide range of changes in the sample and different econometric specifications.

Tot he best of the authors’ knowledge, this paper represents the first rigorous and systematic attempt of addressing the existence of convergence in non-monetary working conditions, applying formal and widely accepted definitions of this phenomenon. It contributes to our knowledge on this topic providing strong evidence of convergence in job quality. Those results can be of interest for scholars in Economics and other Social Sciences.