bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relations between resilience and self-efficacy among healthcare practitioners in context of the COVID-19 pandemic – a rapid review
Authors: Baluszek Joanna Barbara , Brønnick Kolbjørn Kallesten , Wiig Siri 
Published: February 2023

PurposeThe purpose of this rapid review was to present current evidence on relations between resilience and self-efficacy among healthcare practitioners in the context of COVID-19 pandemic.Design/methodology/approachLiterature searches were conducted in February/2022 in the online database MEDLINE EBSCO and not date/time limited. Eligibility criteria were as follows: population – healthcare practitioners, interest – relations between resilience and self-efficacy and context – COVID-19.FindingsSix eligible studies from Italy, China, United Kingdom, India, Pakistan and Spain, published between 2020 and 2021 were included in the review. All studies used quantitative methods. The relations between resilience and self-efficacy were identified in contexts of resilience programs, measuring mental health of frontline nurses, measuring nurses' and nursing students' perception of psychological preparedness for pandemic management, perception of COVID-19 severity and mediating roles of self-efficacy and resilience between stress and both physical and mental quality of life. Findings indicated limited research on this topic and a need for more research.Practical implicationsBroader understanding of the relations between resilience and self-efficacy may help healthcare organizations' leaders/managers aiming to support resilience of their employers under challenging circumstances such as future pandemic.Originality/valueThe latest COVID-19 pandemic presented the opportunity to research relations between resilience and self-efficacy and enrich existed research in a new and extraordinary context.
The impacts of pandemic on urban housing prices: evidence from the outbreak of COVID-19 in Beijing, 2020
Authors: Qin Bo , Peng Yanyan , Feng Luotong 
Published: February 2023

Purpose
The COVID-19 pandemic has significantly raised economic risk and uncertainty worldwide. How does COVID-19 affect urban housing markets? Is there any difference when different areas encounter COVID-19? This study aims to investigate the impacts of the pandemic on housing prices by using Beijing’s housing markets data in 2020.

Design/methodology/approach
The authors use transaction-level data from April to September in 2020 to conduct a hedonic price analysis of the housing markets in Beijing. The data included 70,843 transactions scraped from a real estate agent’s website. The authors use the difference-in-differences approach to evaluate the impacts of the COVID-19 outbreak from the Beijing Xinfadi market (the largest and most important food wholesale market in Beijing) in 2020.

Findings
This outbreak of COVID-19 caused a 6.3% drop in housing prices in Beijing from April to September in 2020. However, the impacts of COVID-19 on housing prices in different urban neighbourhoods were spatially heterogeneous. Housing prices in neighbourhoods with industries that rely on face-to-face communication were more affected by the pandemic, while those that can work remotely were less affected.

Originality/value
By investigating the impacts of COVID-19 on housing prices in Beijing, this study illustrates that urban housing prices would be impacted by the pandemic, at least in the short term. While the rise and fall of housing prices were found spatially heterogeneous in Beijing, it suggests that urban neighbourhoods with specific socioeconomic characteristics and geographic locations would unfold different resilience when encountering pandemic. By using data scraping and rigorous statistical tools, the study is probably one of the first ones examining the consequences of COVID-19 in intra-urban housing markets.
Workforce upskilling: can universities meet the challenges of lifelong learning?
Authors: Lang Josephine 
Published: February 2023

PurposeSince new digital micro-credential technologies emerged a decade ago, there has been a rapid rise in micro-credentials in the education landscape. Much has been promised about these educational technologies, yet there is much confusion by key stakeholders in the digital micro-credential ecosystem. This confusion has led to significant efforts globally to define micro-credentials to ensure quality learning and generate beneficial impacts to learners, employers, education providers and edtech organisations.Design/methodology/approachThis commentary reviews relevant literature on digital micro-credentials and other alternative credentials to determine how these educational technologies can meet the demands of the Fourth Industrial Revolution to nurture lifelong learning for working learners.FindingsUniversities are being challenged to address the changing needs and uncertainty being introduced by the Fourth and Fifth Industrial Revolutions, particularly with implications for workforce upskilling and lifelong learning. To adapt, universities will need to rethink their roles and shift their institutional mindsets in how they may approach the challenges through mechanisms such as digital micro-credntials.Research limitations/implicationsThis paper focuses on the analysis of five policy statements about micro-credentials. While these policy statements represent a sample, there is a representation of Western education-related systems. Thus, they skew the findings towards Western education systems thinking.Practical implicationsUnderstanding how micro-credentials are being positioned within education-related systems is useful for applying the educational technologies by, for example, universities, learners and employers.Social implicationsProvides an overview of how these educational technologies may provide beneficial impacts for society as it plans to adapt to economic uncertainty and change.Originality/valueThe commentary provides a policy context for the emerging use of micro-credential technologies to examine demands for workforce upskilling.
SCM and SME performance in Australia: the mediating role of HRM practices
Authors: Mamun Mehadi 
Published: February 2023

PurposeThe present study seeks to explore the relationships among human resource management (HRM) practices, supply chain management (SCM) implementation and small and medium-sized enterprises' (SMEs) performance in Australia. It also investigates whether HRM practices have any mediating effect on such relationships.Design/methodology/approachIn line with the research objective, a quantitative model was applied and a multi-item survey questionnaire was developed to collect primary data. Cross-sectional surveys of a sample of 216 SMEs from different industries were undertaken to collect data, and factor analysis and structural equation modelling (SEM) were used to analyse data and test hypotheses.FindingsThe statistical results inform that SCM implementation and HRM practices improve SMEs' performance in Australia. SCM implementation is also found to be positively linked to HRM practices and has a significant indirect effect on organisational performance when the HRM practices are mediating. HRM practices are, thus, found in this study to mediate the relationship between SCM implementation and Australia's SMEs performance.Originality/valueThe concurrent effects of SCM and HRM practices on SMEs' performance and how businesses' internal management such as HRM practices mediate and affect SCM and SMEs' performances have not been addressed previously in the Australian business context. This study, hence, addresses the gap in the literature concerning the effect of SCM on SMEs by integrating HRM practices as a significant behavioural support system to SCM implementation in Australia's SMEs.
Evaluating the efficiency of defined benefit pension plans in a developing market
Authors: Mazonga Mfoutou Bruvine Orchidée , Danquah Richard 
Published: February 2023

PurposeThe cost-to-asset ratio is a vital efficiency ratio for any financial institution, as it measures its operating expenses to its asset base. This study uses this ratio to evaluate the efficiency of defined benefit pension plans (DBPPs) in the Republic of Congo using financial and macroeconomic indicators.Design/methodology/approachUnder the financial indicator, the authors apply vector autoregression (VAR) to a dataset covering 120 months from 2011 to 2020. In addition, the authors use 12 years of data from 2009 to 2020 and the random effects model under macroeconomic indicators.FindingsAssets and costs together Granger cause the efficiency of the DBPP. However, there is no Granger causality from the combination of assets and costs on the DB public and industry PP efficiencies. The random effects model results show that macroconnect level variables significantly lower the cost-to-asset ratio, thereby improving the PP's efficiency. Macrodisconnect level variables significantly increase the cost-to-asset ratio, thereby deteriorating PP efficiency.Research limitations/implicationsThe study is limited to a developing economy in sub-Saharan Africa, which may hinder the generalization of the results. Future studies could use panel samples from sub-Saharan Africa so that inferences could be drawn for the continent and comparisons made with others.Originality/valueTo the best of the authors knowledge, this study is the first in sub-Saharan Africa to assess the efficiency of DBPPs using financial and macroeconomic indicators.
Service supply chain risk management in the public healthcare sector
Authors: Getele Gutama Kusse , Ruoliu Xiong 
Published: February 2023

PurposeThe study research aims to examine the effects of supply chain management practices on risk mitigating (RM) by studying the correlation between social ties, institutional support, interagency cooperation and external flexibility in public healthcare sectors. Moreover, this research examines the impact of RM on supplier trust, and also the authors examine the relationship among supplier trust and logistics performance.Design/methodology/approachThe authors used a structural equation model (SEM) based on 539 quantitative data from Ethiopian healthcare organizations. The model included control variables like company size and position to understand better how employees perceive risk mitigation.FindingsThe study's findings indicate that interagency collaboration and external flexibility positively affects RM. On the other hand, RM positively impacts supplier trust and also the supplier trust has a positive effects on performance dimensions. This study also shows that RM has not positively impacting institutional support and social ties.Practical implicationsThe study investigation may help the pharmaceutical industry, healthcare service SC agencies and other stakeholders better understand the effects of supply chain management practices on RM and obtain information on progress made thus far.Originality/valueThis research helps managers and their organizations to manage the risk associated with their organizations. Though, this study focuses on Ethiopian healthcare SCM. The authors expect the findings might apply to other countries organizations with comparable demographic or SCM features.
Government expenditure structure, technological progress and economic growth
Authors: Liu Zeqi , Tong Zefeng , Zhang Zhonghua 
Published: February 2023

PurposeThis study examines the differences in the economic stimulus effects, transmission mechanisms, and output multipliers of government consumption, government traditional investment, and government science and technology investment.Design/methodology/approachThis study constructs and estimates a New Keynesian model of endogenous technological progress embedded in the research and development (R&D) and technology transfer sectors. Using Chinese macroeconomic time series data from 1996 to 2019, this study calibrates and estimates the model and analyzes the impulse response function and a counterfactual simulation of expenditure structure adjustment.FindingsThe results show that compared with the traditional dynamic stochastic general equilibrium (DSGE) model, the endogenous process of technological progress amplifies the impact of government consumption shock and traditional government investment shock on the macroeconomy, leading to greater economic cycle fluctuations. As government investment in science and technology has positive external spillover effects on firm R&D activities and the application of innovation achievements, it can promote more sustainable economic growth than government consumption and traditional investment in the long run.Originality/valueThis study constructs an extended New Keynesian model with different types of government spending, which includes endogenous technological progress within the R&D and technology transfer sectors, thereby linking fiscal policy, business cycle fluctuations and long-term economic growth. This model can study the macroeconomic impact of fiscal expenditure structure adjustment when fiscal expansion is limited. In the Bayesian estimation of model parameters, this study not only uses macroeconomic variables but also adds a sequence of private R&D investment.
Integration of multi-criteria decision-making approaches adapted for quality function deployment: an analytical literature review and future research agenda
Authors: Hariri Ahmad , Domingues Pedro , Sampaio Paulo 
Published: February 2023

PurposeThis paper aims to classify journal papers in the context of hybrid quality function deployment QFD and multi-criteria decision-making (MCDM) methods published during 2004–2021.Design/methodology/approachA conceptual classification scheme is presented to analyze the hybrid QFD-MCDM methods. Then some recommendations are given to introduce directions for future research.FindingsThe results show that among all related areas, the manufacturing application has the most frequency of published papers regarding hybrid QFD-MCDM methods. Moreover, using uncertainty to establish a hybrid QFD-MCDM the relevant papers have been considered during the time interval 2004–2021.Originality/valueThere are various shortcomings in conventional QFD which limit its efficiency and potential applications. Since 2004, when MCDM methods were frequently adopted in the quality management context, increasing attention has been drawn from both practical and academic perspectives. Recently, the integration of MCDM techniques into the QFD model has played an important role in designing new products and services, supplier selection, green manufacturing systems and sustainability topics. Hence, this survey reviewed hybrid QFD-MCDM methods during 2004–2021.
Transparency in corporate social responsibility communication on social media
Authors: Lee Angie , Chung Te-Lin Doreen 
Published: February 2023

PurposeRetailers recently have started communicating their corporate social responsibility (CSR) commitments to their consumers directly on social media. That is to say, CSR communication has expanded to social media that allow two-way communication, distinct from traditional CSR communication channels. As transparency has been recognised as a crucial factor influencing the effectiveness of traditional CSR communication, this study investigated its role in the social media context.Design/methodology/approachA two-level, single-factor (i.e. transparency of a mock retail company's CSR communication) between-subjects experimental design was employed, and 237 responses from an online survey were used for PROCESS macroanalysis.FindingsTransparent CSR communication was found to increase the consumers' perceived CSR credibility and attitude toward the company, which influenced consumers' subsequent purchase intention (functionalistic outcome) and intention to respond to the CSR communication (constitutive outcome). The results of the study also corroborated that consumers' level of elaboration when processing CSR communication on social media depends upon their level of concern over the social issue.Originality/valueThe study extends the elaboration likelihood model (ELM) to CSR communication in the social media context by validating that consumers' level of information elaboration is determined by their level of concern over the social issue. In addition, it provides the first empirical support for the significance of transparent CSR communication on social media and explains the mechanism of transparency's influence. Transparency indirectly affects consumers' behavioural intentions by forming a favourable attitude toward a retailer. The findings can help retail practitioners communicate CSR commitments persuasively on social media. The study also integrates functionalistic and constitutive perspectives of social media CSR communication, which is notable and discussed in depth.
Influence of oil price fluctuations on the network connectedness between oil, GCC Islamic and conventional financial markets
Authors: Mezghani Taicir , Abbes Mouna Boujelbène 
Published: February 2023

Purpose
This paper aims to examine the dynamic spillover effects and network connectedness between the oil prices and the Islamic and conventional financial markets in the Gulf Cooperation Council countries. The focus is on network connectedness during the 2008–2009 global financial crisis, the 2014–2016 oil crisis and the COVID-19 pandemic. The authors use daily data covering the period from January 1, 2007 to April 14, 2022.

Design/methodology/approach
This study applies a spillover analysis and connectedness network to investigate the risk contagion among the Islamic and conventional stock–bond markets. The authors rely on Diebold and Yilmaz’s (2012, 2014) methodology to construct network-associated measures.

Findings
The results suggest that overall connectedness among financial market uncertainties increased during the global financial crisis, the oil price collapse of 2014–2016 and the COVID-19 crisis. In addition, the authors show that the contribution of oil shocks to the financial system is limited, as the oil market was a net receiver during the 2014 oil shock and the COVID-19 crisis. On the other hand, the Islamic and conventional stock markets are extensive sources of network effects on the oil market and Islamic and conventional bond markets. Furthermore, the authors found that the Sukuk market was significantly affected by the COVID-19 pandemic, whereas the conventional and Islamic stock markets were the highest transmitters of shocks during the COVID-19 pandemic outbreak. Moreover, oil revealed a weak connectedness with the Islamic and conventional stock markets during the COVID-19 health crisis, implying that it helps provide diversification benefits for international portfolio investors.

Originality/value
This study contributes to this field by improving the understanding of the effect of fluctuations in oil prices on the dynamics of the volatility connection between oil and Islamic and conventional financial markets during times of stress through a network connectedness framework. The main results of this study highlight the role of oil in portfolio allocation and risk minimization when investing in Islamic and conventional assets.
Changes in government procurement: COVID-19 as an opportunity for corruption
Authors: Porporato Marcela , Ruiz Juan Ignacio 
Published: February 2023

PurposeExplore the factors making emergency procurement more prone to corruption by advancing explanations for when rules and transparency are relaxed allowing corrupt practices to emerge. Describe institutional factors, such as corruption syndrome (Johnston, 2005, 2015) and legal system, and their impact on procurement rules changes.Design/methodology/approachA qualitative event study using publicly available data offer a timeline and explanation of government procurement control mechanisms and transparency roles in emergencies by comparing two countries. Argentina and Canada had very similar and advanced food procurement systems prior to COVID-19, but they took different stances when the pandemic broke out.FindingsLegal systems and corruption syndrome are linked, where Civil Law is related to Elite Cartels (Argentina) and Common Law with Influence Markets (Canada). The study contributes to understand the role of transparency to minimize the opportunity for direct purchases (electronic trails of decisions, justifications and approvals). Judicial system's actions favor corrupt practices and are aligned with elites despite the civil society outcry.Research limitations/implicationsResearch on corrupt practices has limited access to primary data due to fear of reprisals. Informal conversations revealing glimpses of corruption were used to identify publicly available documents. Numbers play a role in emergencies and performativity theory literature is enriched by providing an example of different interpretation of information when frameworks differ between civil society and courts.Originality/valueA comparative analysis that evidences the role of pre-existing institutional and social conditions shows when emergency situations will be used as an excuse to relax procurement control and transparency mechanisms which in turn facilitate corrupt practices.
Workers' remittances and economic growth: new evidence from an ARDL bounds cointegration approach for Sri Lanka
Authors: Mohamed Aslam Ahamed Lebbe , Alibuhtto Mohamed Cassim 
Published: February 2023

PurposeThe objective of this study is to examine the long-run relationship between workers' remittances and economic growth in Sri Lanka using time series data spanning 1975–2021.Design/methodology/approachThis study employed both exploratory data analysis (EDA) and inferential data analysis (IDA) tools. EDA includes the scatter plots, confidence ellipse with Kernel fit, whereas IDA covers unit root test, the autoregressive distributed lag (ARDL) bounds technique, the Granger's causality test, and impulse response function (IRF) analysis.FindingsEDA confirms that workers' remittances have a positive relationship with per-capita gross domestic product (GDP). All variables used in this study are I(1). This study is exhibited that workers' remittances have a positive long-run relationship with per-capita GDP. The estimated coefficient of the error correction term shows that the dependent variable moves towards the long-run equilibrium path. Workers' remittances have a short-run and long-run causal relationship with per-capita GDP. The IRF analysis indicates that a one standard deviation shock to workers' remittances has initially an immediate significant positive impact on economic growth.Practical implicationsThis study provides insights into workers' remittances in economic growth in Sri Lanka. Further, the findings of this study also provide evidence that workers' remittances increase economic growth.Originality/valueUsing ARDL bounds test, Granger's Causality test and IRF analysis for examining the relationship between workers' remittances and economic growth are the originality of this study.
Credit quality determinants of banks: how important are bankruptcy reforms?
Authors: Ghosh Saibal 
Published: February 2023

PurposeAlthough several microeconomic and macroeconomic factors driving banks' credit quality have been well-studied in the literature, one aspect which appears to have received limited attention is bankruptcy reforms. To address this issue, the author exploits data on Middle East and North Africa (MENA) country banks during the period 2010–2020 and examines the impact of bankruptcy laws on their credit quality.Design/methodology/approachIn view of the staggered nature of the implementation of legal reforms across countries, the author utilize a difference-in-differences specification to tease out the causal impact.FindingsThe findings reveal that bankruptcy reforms lead to a significant improvement in banks' credit quality. The impact is manifest mainly for conventional banks and driven by an increase in recovery intensity. The author also presents evidence which shows that such reforms exert positive real effects, although this impact differs across country characteristics.Originality/valueThe study is among the early ones for the MENA region to assess the interlinkage between bankruptcy reforms and banks' credit quality.