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Limited research has investigated how spirit at work, functioning as a “good barrel,” fosters ethical decision-making (EDM) even in the presence of unethical managerial behavior (“bad apples”). Therefore, this study aims to investigate the spirit at work, a situational variable, as a moderating variable in the relationship between the love of money (LoM), an individual-level factor, and EDM.

A time-lagged survey of the members of the Marketing Association of Pakistan was conducted. The data were analyzed using partial least square structural equation modeling.

Adding to much of the existing research, which finds that LoM can influence ethical intention directly, this research finds that LoM influences ethical intention only through ethical judgment. Moreover, the spirit at work tempers the negative relationship between LoM and ethical judgment, thereby mitigating LoM’s detrimental effects not only on ethical judgment but also its downstream effects on ethical intention.

Organizations, by planting the seeds of spirit at work, can institutionalize good barrels, which can alleviate the negative effects of the marketing managers’ LoM, the root cause of unethical behavior. This way, this study establishes a business case for spirit at work.

The novelty of this study is the development and investigation of a holistic conceptual framework for EDM of marketing professionals that incorporates LoM as an antecedent, ethical judgment as an underlying mechanism, ethical intention as an outcome variable and spirit at work as a boundary condition.

This study aims to focuse on the flow behavior of a specific nanofluid composed of blood-based iron oxide nanoparticles, combined with motile gyrotactic microorganisms, in a ciliated channel with electroosmosis.

This study applies a powerful mathematical model to examine the combined impacts of bio convection and electrokinetic forces on nanofluid flow. The presence of cilia, which are described as wave-like motions on the channel walls, promotes fluid propulsion, which improves mixing and mass transport. The velocity and dispersion of nanoparticles and microbes are modified by the inclusion of electroosmosis, which is stimulated by an applied electric field. This adds a significant level of complexity.

To ascertain their impact on flow characteristics, important factors such as bio convection Rayleigh number, Grashoff number, Peclet number and Lewis number are varied. The results demonstrate that while the gyrotactic activity of microorganisms contributes to the stability and homogeneity of the nanofluid distribution, electroosmotic forces significantly enhance fluid mixing and nanoparticle dispersion. This thorough study clarifies how to take advantage of electroosmosis and bio convection in ciliated micro channels to optimize nanofluid-based biomedical applications, such as targeted drug administration and improved diagnostic processes.

First paper discussed “Numerical Computation of Cilia Transport of Prandtl Nanofluid (Blood-Fe₃O₄) Enhancing Convective Heat Transfer along Micro Organisms under Electroosmotic effects in Wavy Capillaries”.

The purpose of this study is to examine the association between carbon emissions and earnings management (EM). This study also considers the effect of female CEOs on the association between carbon emissions and EM.

This study uses the carbon disclosure project (CDP) for carbon emissions data, the Compustat database for financial information and the ExecuComp database for female CEOs. The empirical sample of this study consists of 1,692 firm-year observations in the USA that voluntarily participated in the CDP survey from 2007 to 2015. Regression analysis and robustness tests are conducted for this study and both accrual and real EM are considered.

This study provides evidence that firms with female CEOs who voluntarily disclose their carbon emissions information engage in less real EM. Thus, the presence of female CEOs moderates the association between carbon emissions and EM. This study/paper also finds a positive association between carbon emissions and real EM, although there is an insignificant association between carbon emissions and accruals EM.

The association between carbon emissions and EM has important implications for investors, regulators and policymakers. This study suggests that policymakers should improve the conditions that promote inclusion of females in the top management positions to constrain EM.

This study focuses on the USA, which is one of the major contributors to carbon emissions in the world. The presence of female CEOs moderates the association between carbon emissions and EM and firms with female CEOs show a greater impact on EM.

This study aims to examine how women on board influence quality and quantity disclosure of emissions discharge by the listed non-financial firms for the period of six years (2016–2021), with institutional ownership as a moderator.

The study obtained data from a sample of 83 listed non-financial firms. A content analysis technique was employed to compute emissions disclosure indexes using Global Reporting Initiatives standards from the sampled firms. Random and fixed effect regression analyses were run for both direct and moderation models. Based on the results of the Hausman tests, random results were adopted and used in examining the relationship.

The result reveals that women on board are significantly related to emission disclosure. The study also documented that institutional owners have not influenced the relationship between women directors and emissions disclosure.

The study's findings have practical implications for emerging economies, corporations and other business organizations seeking to actively involve the emissions control and reduction issues toward sustainable development goals 5, 7 and 13 in their business models and successfully communicate these efforts to stakeholders.

Listed firms in emerging economies would gain sincerity through the women directors’ knowledge, skills, demographics and ethnicity in the society. Therefore, corporate bodies in emerging economies can successfully contribute toward improving the social welfare of various segments of society by controlling current and future climate issues. Additionally, society will surely benefit when firms control the pollution discharges within the community.

This is the first study, to the best of the authors’ knowledge, that provides empirical evidence on the effect of the presence of women on board on emissions disclosure using institutional ownership as a moderator in Nigeria.

This bibliometric study aims to analyze publication trends, active countries, collaborations, influential citations and thematic evolution in learning analytics (LA) research focused on higher education (HE) during and after the COVID-19 lockdown period.

From the Scopus database, this bibliometric analysis extracts and evaluates 609 scholarly articles on LA in HE starting in 2019. The multidimensional process identifies the scope impacts, advancing the understanding of LA in HE. An analysis of co-citation data uncovers the key influences that have shaped the literature. This study uses the stimulus-organism-response (SOR) theory to suggest future research directions and organizational adaptations to new LA technologies and learner responses to LA-enabled personalized interventions.

Learning analytics are becoming important in the HE environment during and after the COVID-19 lockout. Institutions have used LA to collect socio-technical data from digital platforms, giving them important insights into learning processes and systems. The data gathered through LA has assisted in identifying areas for development, opening the path for improved student success and academic performance evaluation and helping students transition to the workforce.

The study’s concentration on the post-COVID-19 timeframe may lead to paying attention to potential pandemic developments. Nonetheless, the findings provide a thorough picture of LA’s contributions to HE and valuable ideas for future study initiatives. Future research with the SOR framework suggests areas for additional study to maximize LA’s potential in diverse HE situations.

This study adds to the growing corpus of knowledge on learning analytics in HE, especially in light of the COVID-19 lockdown and its aftermath. By using bibliometric analysis, the study provides a complete and evidence-based understanding of how LA has been used to address challenges related to HE. This study uses bibliometric analysis and SOR theory to appraise and map HE learning analytics research. The selected study themes can help scholars, educators and institutions shape their future efforts to improve teaching, learning and support mechanisms through learning analytics.

This study aims to address the critical challenge of implementing lean manufacturing (LM) in emerging economies, where sustainability complexities on the production floor hinder production efficiency and the transition towards a circular economy (CE). Addressing a gap in existing research, the paper introduces a path analysis model to systematically identify, prioritize and overcome LM implementation barriers, aiming to enhance performance through strategic removal.

The authors used a mixed-method approach, combining empirical survey data with literature reviews to pinpoint key LM barriers. Using the grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) along with the Network Knowledge (NK) method, they mapped causal relationships and barrier intensities. This formed the basis for developing a path simulation algorithm, integrating heuristic considerations for practical decision-making.

This analysis reveals that the primary barriers to LM adoption is the negative perception and inadequate understanding of lean tools and CE principles. The study provides a strategic framework for managers, offering new insights into barrier prioritization and overcoming strategies to facilitate successful LM adoption.

This research provides a strategic pathway for overcoming LM implementation barriers, empowering managers in emerging economies to enhance sustainability and competitive advantage through LM and CE integration. It emphasizes the significance of structured barrier management in the manufacturing sector.

This research pioneers a systematic exploration of LM implementation barriers in the CE context, making a significant contribution to the literature. It identifies, evaluates barriers and proposes a practical model for overcoming them, enriching sustainable manufacturing practices in emerging markets.