bluuebunny/crossref_metadata_2025_split huggingface dataset:
Authentic leadership’s influence on strategic corporate social responsibility in South Africa: mediated by participative decision-making
Authors: Nqumba Bradley Majil’andile , Scheepers Caren Brenda 
Published: February 2023

Purpose
The purpose of this paper is to investigate the influence of authentic leadership on strategic corporate social responsibility (CSR) in a less researched environment. This study set out to fill that gap in researching the direct influence of employees’ perceptions about the authenticity of their leaders as well as indirect effect through participative decision-making on strategic CSR which means the genuine intention to benefit society.

Design/methodology/approach
A quantitative research approach was followed, with an online survey to employees in large South African corporations across various industries that were mostly more than 10 years old. There were 1,417 useable questionnaires. Structural equation modelling was used to test proposed hypotheses of mediation effects.

Findings
The results revealed that authentic leadership has a significant indirect effect through participative decision-making on employees’ perceptions around strategic CSR – that is, whether their corporations are genuinely socially and environmentally responsible.

Research limitations/implications
The data collected were cross-sectional, and survey-based in the South African corporate environment; therefore, limited generalisations can be made, and causality could not be claimed.

Practical implications
Authentic leadership and participative decision-making are required to significantly influence employees’ perceptions about companies’ genuine interest in benefiting external stakeholders. Consistency between leaders’ words and deeds is important for employees, and therefore, companies must be socially responsible towards employees.

Originality/value
The main contribution of this research lies in showing that perception of leaders’ authenticity was enhanced when employees were allowed to participate in decision-making, which then increased positive perceptions about the organisation’s CSR focus. The study highlights similarities between authentic leadership and the African humanism philosophy of Ubuntu.
Analysis of hydrothermal performance for laminar forced convective flow through a wavy channel with porous blocks
Authors: Mehta Sumit Kumar , Pati Sukumar 
Published: February 2023

Purpose
The purpose of this paper is to investigate computationally the hydrothermal characteristics for forced convective laminar flow of water through a channel with a top wavy wall and a flat bottom wall having metallic porous blocks.

Design/methodology/approach
The governing equations are solved computationally using a finite element method–based numerical solver COMSOL Multiphysics® for the following range of parameters: 10 ≤ Reynolds number (Re) ≤ 500 and 10–4 ≤ Darcy number (Da) ≤ 10–1.

Findings
The presence of porous blocks significantly influences the heat transfer rate, and the value of local Nusselt number increases with the increase in Da. The value of the average Nusselt number decreases with Da for the top wall and the same is enhanced for the bottom wall of the wavy channel with porous blocks (WCPB). The value of the average Nusselt number for WCPB is significantly higher than that of the wavy channel without porous block (WCWPB), plane channel without porous block (PCWPB) and plane channel with the porous block (PCPB) at higher Re. For PCPB, the performance factor (PF) is always higher than that of WCWPB and WCPB for Da = 10–4 and Da = 10–3. Also, PF for WCPB is higher than that of WCWPB for higher Re except for Da = 10–4. Further, the value of for WCPB is higher than that of PCPB at Da = 10–2 and 10–1 at Re = 500.

Practical implications
The current study is useful in designing efficient heat exchangers for process plants, solar collectors and aerospace applications.

Originality/value
The analysis of thermo-hydraulic characteristics for laminar flow through a channel with a top wavy wall and a flat bottom wall having metallic porous blocks have been analyzed for the first time. Further, a comparative assessment of the performance has been performed with a wavy channel without a porous block, a plane channel without a porous block and a plane channel with porous blocks.
Tour guides’ self-efficacy and resilience capability building through sharing economy platforms
Authors: Shang Kaiti , Fan Daisy X.F. , Buhalis Dimitrios 
Published: February 2023

Purpose
This study aims to explore how the local tour guides (LTGs) operate through the sharing economy platform. This study explores how LTGs have responded to the COVID-19 pandemic restrictions using self-efficacy and other resources to improve resilience and performance. This study also delineates the working mechanisms of peer-to-peer (P2P) platform-enabled, dynamic capability building processes, in the tourism sharing economy.

Design/methodology/approach
This research adopted an interpretive approach to understand the focal phenomenon using two types of data. A total of 40 semi-structured interviews with LTGs and 26,478 online tourist reviews from tour guide service participants’ before and during the COVID-19 pandemic were used.

Findings
The findings of this study revealed that LTGs used sharing economy platforms to arrange flexible tour guide services. Resilience emerged through dynamic capability that addressed contextual factors in real time. LTGs coordinated different resources and customers during a time of uncertainty. Different sources of self-efficacy and types of dynamic capability were identified. The interplay between LTGs’ self-efficacy and dynamic capability was also delineated.

Practical implications
The findings provide guidance for LTGs on P2P platforms and other sharing economy sectors on how diverse resources enabled by the sharing economy can enhance resilience during times of uncertainty. LTGs that engage with contextual information and are dynamic can adopt itineraries and services that will benefit tourists and their business.

Originality/value
This study contributes to the sharing economy literature by theorizing the working flow that enables LTGs to exert self-efficacy and leverage dynamic capability on P2P platforms. This study also contributes by linking resilience to contextual factors in real time. The outcomes provide guidance for LTGs to remain competitive and establish resilience in uncertain environments.
Opening the black box of big data sustainable value creation: the mediating role of supply chain management capabilities and circular economy practices
Authors: Riggs Randy , Roldán José L. , Real Juan C. , Felipe Carmen M. 
Published: February 2023

PurposeThis article examines the mechanisms through which big data analytics capabilities (BDAC) contribute to creating sustainable value and analyzes the mediating roles that supply chain management capabilities (SCMC), as well as circular economy practices (CEP), play through their impact on sustainable performance.Design/methodology/approachFollowing a literature review, a serial mediation model is presented. Hypotheses regarding direct and mediating relationships are tested to determine their potential for sustainability impact and circularity. Partial least squares structural equation modeling (PLS-SEM) has been applied for causal and predictive purposes.FindingsThe results indicate that big data analytics capabilities do not have a direct positive impact on sustainable performance but influence indirectly through SCMC and CEP.Originality/valueAlthough some authors have addressed the associations between IT business value, supply chain (SC), and sustainability, this paper provides empirical evidence related to these relationships. Additionally, this study performs novel predictive analyses.
Efficacy of public spending for agricultural development in India: a disaggregate analysis contextualizing subsidies vs investment debate
Authors: Zafar Shadman , Tarique Md. 
Published: February 2023

PurposeThe primary objective of the present study is to figure out the relative effectiveness of alternate public expenditure with regard to agricultural development particularly in the context of input subsidies vis-a-vis investment. Besides, the authors also endeavour to test the applicability of crowding-out hypothesis in the present context.Design/methodology/approachInitially, unit root tests are applied for checking stationarity of the underlying data using Augmented Dickey-Fuller (ADF) and Kwiatkowski–Phillips–Schmidt–Shin (KPSS) tests. Further, the highly celebrated autoregressive distributive lag (ARDL) model is applied on annual time series data for the period 1991–2020 to investigate the long-run and short-run impact of the said relationship.FindingsThe authors observe that public investment is more productive than input subsidies for overall agricultural development. Besides, the findings document the existence of crowding-in hypothesis, i.e. complementarity between public investment and private investment in case of the agricultural sector in India.Research limitations/implicationsThe outcome of the research recommends to reprioritize state expenditure and reformulate agricultural policy regarding the public financing of agriculture. More to invest and less to subsidize seems a better policy intervention to achieve desirable outcomes from the Indian agriculture in the long run.Originality/valueThis study is novel in the sense that the subsidies vs investment debate is revisited in the current scenario of agricultural development so that resource allocation be optimized. To ensure robustness of the study, the authors specifically took four proxies of agricultural development, namely, productivity growth, private investment, food security and farmers’ income.
Financial resilience of Spanish wineries during the COVID-19 lockdown
Authors: Arimany-Serrat Núria , Farreras-Noguer M. Àngels , Coenders Germà 
Published: February 2023

PurposeThis study aims to focus on the impact of COVID-19 on the Spanish wine sector and the financial resilience of Spanish wineries in the period 2019–2020.Design/methodology/approachThe data set contains 355 limited companies of the Spanish wine sector which were active in the period 2019–2020. The explanatory variables used are size and age of the company, exports, subsidies and gender distribution in the workforce. The financial statements of the companies are treated as compositional data, using log-ratios for asset structure, leverage, margin, turnover and debt maturity. The first-difference estimator is used for the panel-data model relating the differences in the log-ratios between 2020 and 2019 to the explanatory variables.FindingsIn average terms, margin and turnover have significantly worsened between 2019 and 2020, while debt maturity has increased. A larger firm size, a greater age, a higher share of women in the workforce and subsidies have made wineries more resilient between 2019 and 2020.Originality/valueTo the best of the authors’ knowledge, this is the first financial statement analysis of the impact of COVID-19 in the winery sector.
Data, analytical techniques and collaboration between researchers and practitioners in humanitarian health supply chains: a challenging but necessary way forward
Authors: De Boeck Kim , Besiou Maria , Decouttere Catherine , Rafter Sean , Vandaele Nico , Van Wassenhove Luk N. , Yadav Prashant 
Published: February 2023

PurposeThis paper aims to provide a discussion on the interface and interactions between data, analytical techniques and impactful research in humanitarian health supply chains. New techniques for data capturing, processing and analytics, such as big data, blockchain technology and artificial intelligence, are increasingly put forward as potential “game changers” in the humanitarian field. Yet while they have potential to improve data analytics in the future, larger data sets and quantification per se are no “silver bullet” for complex and wicked problems in humanitarian health settings. Humanitarian health supply chains provide health care and medical aid to the most vulnerable in development and disaster relief settings alike. Unlike commercial supply chains, they often lack resources and long-term collaborations to enable learning from the past and to improve further.Design/methodology/approachBased on a combination of the authors’ research experience, interactions with practitioners throughout projects and academic literature, the authors consider the interface between data and analytical techniques and highlight some of the challenges inherent to humanitarian health settings. The authors apply a systems approach to represent the multiple factors and interactions between data, analytical techniques and collaboration in impactful research.FindingsBased on this representation, the authors discuss relevant debates and suggest directions for future research to increase the impact of data analytics and collaborations in fostering sustainable solutions.Originality/valueThis study distinguishes itself and contributes by bringing the interface and interactions between data, analytical techniques and impactful research together in a systems approach, emphasizing the interconnectedness.
Creation of smart compression garment using magnetic nanotextiles
Authors: Riabchykov Mykola , Nazarchuk Liudmyla , Tkachuk Oksana , Stytsyuk Victoria 
Published: February 2023

Purpose
This paper aims to prove the expediency and effectiveness of magnetic textiles use obtained by adding nanopowder synthesized on the basis of oxides of divalent and trivalent iron oxides, taking into account bacteriostatic, magnetotherapeutic and compressive properties.

Design/methodology/approach
The research includes methods of synthesis of nanoelements of bivalent and trivalent iron, methods of the theory of elasticity for determining the pressure between compression clothing and a limb, methods of creating an annular magnetic field with determination of its voltage, methods of determining the growth dynamics of mold bacteria and methods of approximation of experimental data.

Findings
On the base of the determination of the forces arising from the interaction of magnetic nanotextiles with a magnetic field, the expediency of using these materials in the creation of compression clothing has been proven. An additional medical value of magnetic textiles is the bacteriostatic effect. The content of magnetic nanoelements in the textile composition of 0.2% almost completely suppresses mold infections

Research limitations/implications
Cotton samples with the addition of nanocomponents based on ferric and ferric oxides were studied.

Practical implications
Magnetotextile materials can be used in magnetotherapy, compression clothing, in textile products that provide bacteriostatic properties.

Originality/value
The use of magnetic textile materials is a perspective direction for the creation of medical textile products with complex properties.
Seismic migration in viscoacoustic vertical transversely isotropic media using a pure qP wave equation
Authors: Wu Han , Sun Chengyu , Deng Xiaofan 
Published: February 2023

AbstractSeismic anisotropic attenuation and anisotropic velocity exist widely in the earth's interior and have a great influence on the propagation of seismic waves. Ignoring the effects of attenuation anisotropy may lead to amplitude imbalance or noise in reflection seismic imaging, thus reducing the quality of the imaging results. In order to incorporate attenuation anisotropy into imaging methods and explore its effect on imaging, based on a novel two‐way pure qP wave equation in viscoacoustic vertical transversely isotropy media, we propose the corresponding reverse time migration and least‐squares reverse time migration method. Both imaging methods can accurately obtain subsurface structure information, especially the least‐squares reverse time migration has the potential to compute accurate subsurface reflectivity. In this paper, we first introduce the pure qP wave equation in viscoacoustic vertical transversely isotropy media. As the equation is derived from the complex dispersion relation of P wave, wave propagation can be simulated without interference of SV wave and limitation of anisotropic parameters. Then, we derive the corresponding linearized wave equation and adjoint gradient for updating the imaging result. Finally, using two synthetic models, we demonstrate the effectiveness of the imaging method and discuss the effect of attenuation anisotropy on seismic imaging.
The recovery of plant community composition following passive restoration across spatial scales
Authors: Ladouceur Emma , Isbell Forest , Clark Adam T. , Harpole W. Stanley , Reich Peter B. , Tilman G. David , Chase Jonathan M. 
Published: February 2023

Abstract

Human impacts have led to dramatic biodiversity change which can be highly scale‐dependent across space and time. A primary means to manage these changes is via passive (here, the removal of disturbance) or active (management interventions) ecological restoration. The recovery of biodiversity, following the removal of disturbance, is often incomplete relative to some kind of reference target. The magnitude of recovery of ecological systems following disturbance depends on the landscape matrix and many contingent factors. Inferences about recovery after disturbance and biodiversity change depend on the temporal and spatial scales at which biodiversity is measured.

We measured the recovery of biodiversity and species composition over 33 years in 17 temperate grasslands abandoned after agriculture at different points in time, collectively forming a chronosequence since abandonment from 1 to 80 years. We compare these abandoned sites with known agricultural land‐use histories to never‐disturbed sites as relative benchmarks. We specifically measured aspects of diversity at the local plot‐scale (α‐scale, 0.5 m2) and site‐scale (γ‐scale, 10 m2), as well as the within‐site heterogeneity (β‐diversity) and among‐site variation in species composition (turnover and nestedness).

At our α‐scale, sites recovering after agricultural abandonment only had 70% of the plant species richness (and ~30% of the evenness), compared to never‐ploughed sites. Within‐site β‐diversity recovered following agricultural abandonment to around 90% after 80 years. This effect, however, was not enough to lead to recovery at our γ‐scale. Richness in recovering sites was ~65% of that in remnant never‐ploughed sites. The presence of species characteristic of the never‐disturbed sites increased in the recovering sites through time. Forb and legume cover declines in years since abandonment, relative to graminoid cover across sites.

Synthesis. We found that, during the 80 years after agricultural abandonment, old fields did not recover to the level of biodiversity in remnant never‐ploughed sites at any scale. β‐diversity recovered more than α‐scale or γ‐scale. Plant species composition recovered, but not completely, over time, and some species groups increased their cover more than others. Patterns of ecological recovery in degraded ecosystems across space and long time‐scales can inform targeted active restoration interventions and perhaps, lead to better outcomes.
Synthesis and discovery of potential tyrosinase inhibitor of new coumarin‐based thiophenyl‐pyrazolylthiazole nuclei: In vitro evaluation, cytotoxicity, kinetic, and computational studies
Authors: Hosseini Nasab Narges , Raza Hussain , Eom Young Seok , Hassan Mubashir , Kloczkowski Andrzej , Kim Song Ja 
Published: February 2023

AbstractA well‐known key enzyme in melanogenesis and hyperpigmentation is tyrosinase. The present study introduces a novel series of thiophenyl‐pyrazolylthiazole‐coumarin hybrids (6a–6h) as tyrosinase inhibitors. The in‐vitro tyrosinase inhibition results indicated that all compounds have strong tyrosinase inhibitory activity, particularly compound 6g (IC50 = 0.043 ± 0.006 μM), was identified as the most active compound compared to the positive control (kojic acid, IC50 = 18.521 ± 1.162 μM). Lineweaver‐Burk plots were employed to analyze the kinetic mechanism, and compound 6g formed an enzyme‐inhibitor complex by inhibiting tyrosinase non‐competitively. Furthermore, all compounds demonstrated excellent antioxidant activity against DPPH. MTT assay was used to screen the cytotoxicity of all compounds on B16F10 melanoma cells, and they had no toxic effect on the cells. The binding affinity of compounds with tyrosinase was also investigated using molecular docking, and the ligands displayed good binding energy values. These molecules could be a promising lead for skin pigmentation and associated diseases as nontoxic pharmacological scaffolds.
From micro to macro: Structural determinants and oral health
Authors: Broomhead Tom , Baker Sarah R. 
Published: February 2023

AbstractThe structural determinants of health include social, economic and political mechanisms which generate social stratification and the socioeconomic positions of individuals within society. Despite their importance, these ‘causes of the causes’ are still relatively under‐studied within oral health research. Yet it is important to assess the effects of these ‘upstream’ determinants, given that most individuals cannot influence or change them. It is also important to move beyond focusing primarily on downstream determinants and approaches at the individual or household level. This review will offer a brief overview of what is currently known about structural determinants and upstream interventions in relation to oral health. The review starts by briefly summarizing oral health focused studies of structural determinants, including welfare regimes, governance and macroeconomic, social and public policies. Current knowledge on upstream interventions associated with oral health such as community water fluoridation, sugar sweetened beverage taxes and dental payment structures will also be covered. The article will then assess gaps in the research base, including current limitations and barriers—as well as opportunities—in analysing the effects of structural determinants and upstream interventions. The review finishes by suggesting next steps for better understanding and addressing these determinants and interventions—including considerations around theory, data and approaches from other fields such as systems science—with the hope that these can help make contributions to future policy decision making processes.