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1 – 10 of 18Tidarat Kumkit, Dao Le Trang Anh, Christopher Gan and Baiding Hu
This study explores the awareness (AWN) levels of good governance amongst Thai credit union cooperatives' (CUCs) members and the factors hindering good governance practice in Thai…
Abstract
Purpose
This study explores the awareness (AWN) levels of good governance amongst Thai credit union cooperatives' (CUCs) members and the factors hindering good governance practice in Thai CUCs.
Design/methodology/approach
This study used a survey questionnaire from 629 members of 36 selected CUCs in Thailand. This study analysed the determinants of governance AWN levels of Thai CUCs' members using the ordered probit model. The study also employs OLS estimation to investigate the factors hindering good governance practices.
Findings
The study shows that members of different CUC types and sizes have different levels of governance AWN. Members' characteristics, experiences, and perceptions significantly influence CUC members' AWN of governance issues. The findings also suggest that a lack of morality, transparency, participation, responsibility and accountability are key obstacles that hinder good governance practices of Thai CUCs.
Originality/value
This is the first study that attempts to assess the level of AWN amongst Thai CUCs' members in different CUC sizes and types. This is also the first research that identifies the factors that hinder good governance practice in Thai CUCs based on members' evaluations. The study's findings provide important reference and implications for Thai policy makers and CUCs' board of managers to enhance members' AWN and CUCs' governance performance, and thus increase income and living standard of CUCs' members in the long term.
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Quang Thi Thieu Nguyen, Dao Le Trang Anh and Christopher Gan
This study aims to examine the relationship between bank capital and bank risk during COVID-19.
Abstract
Purpose
This study aims to examine the relationship between bank capital and bank risk during COVID-19.
Design/methodology/approach
The study covers 20 countries during the period from Q4:2018 to Q4:2020, using different measurements of risk with consideration for the interrelationship between bank risk and bank capital and the impact of COVID-19.
Findings
The findings show that higher bank capital mitigates bank market risk and default risk; banks incur higher market risk during the COVID-19 period, and these risks are greater if banks have higher capital levels; and low-capitalized banks reduce risks more than well-capitalized banks, and moderately low-capitalized banks behave the most prudentially. These results are robust to different capital measures and model settings.
Practical implications
The research results are important in proving the motivation and practicality of capital regulation as well as the impact of COVID-19 as an exogenous shock to the bank’s operations.
Originality/value
To the best of the authors’ knowledge, this is the first study to investigate the influence of the COVID-19 pandemic on the relationship between bank capital and bank risk. In addition, while most of the studies on this nexus are based on the US data and the conclusions are inclusive; our results provide empirical cross-country evidences on the relationship between bank capital and bank risk.
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Umar Nawaz Kayani, Christopher Gan, Mustafa Raza Rabbani and Yousra Trichilli
This study aims to thoroughly examine and understand the relationship between working capital management (WCM) and the sustainable financial performance (FP) in the context of the…
Abstract
Purpose
This study aims to thoroughly examine and understand the relationship between working capital management (WCM) and the sustainable financial performance (FP) in the context of the New Zealand companies listed on stock exchange.
Design/methodology/approach
This study has applied various regression techniques to examine WCM and the sustainable FP relationship. The data set period is from 2009 to 2019. The results are robust upon various layers of robustness parameters. The system-generalized method of moments is applied for managing endogeneity issue.
Findings
The research reveals compelling evidence of a meaningful connection between WCM and sustainable FP indicators. The study specifically highlights the significant negative associations between the cash conversion cycle, average collection period and average age of inventory with the firm’s sustainable FP. Through robust analyses and various parameter adjustments, the study ensures the credibility and reliability of its conclusions, further reinforcing the impact of WCM on the financial health of New Zealand-listed firms.
Practical implications
This study provides future directions for researchers to explore the dynamic relationship between WCM and a firm sustainable FP because it is still a demanding and challenging area. Future research may care to explore the optimal way to reduce the cash conversion cycle, average collection period and average age of inventory for New Zealand firms. The current study does provide insights to NZ financial managers, which is useful for improving sustainable FP by efficiently managing WCM.
Originality/value
WCM is problematic and constitutes a notable challenge; it requires further research, especially in small economies such as New Zealand. Hence, it is an updated and fresh attempt based on a larger data set to measure the empirical relationship between WCM and the sustainable performance of New Zealand-listed firms. Furthermore, the current study uses dynamic panel data estimation techniques in addition to multiple regression techniques.
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Umar Nawaz Kayani, Christopher Gan, Tonmoy Choudhury and Ahmad Arslan
The paper aims to investigate the empirical impact of working capital management (WCM) on firm performance (FP) in the emerging markets of Africa. This paper also aims to…
Abstract
Purpose
The paper aims to investigate the empirical impact of working capital management (WCM) on firm performance (FP) in the emerging markets of Africa. This paper also aims to investigate this relationship during the global financial crisis of 2008 (GFC, 2008).
Design/methodology/approach
The sample of this study comprises two leading emerging markets in Africa (Egypt and South Africa) based on the MSCI world market classification list for the period 2007–2020. The study employs various regression techniques such as fixed effect and system generalized method of moments. In addition to baseline regressions, the authors applied various preliminary tests and, finally robustness measures. Besides the dependent, independent variables, the study uses firm-level and country macroeconomic-level explanatory variables.
Findings
The study's results indicate that (1) WCM and FP exhibit a direct relationship and (2) the WCM components such as cash conversion cycle, average collection period and the average age of inventory, have a significant inverse relationship, whereas the average payment period has a direct relationship with FP. The robustness results are assessed based on the selection of an alternative proxy for FP measurement, controlling for industry, country, year effect and the exclusion of the GFC 2008.
Practical implications
This study has various implications in terms of theoretical, societal and practical application for practitioners, managers, investors and regulators. In terms of theoretical implications, this is the first study that contributes to the existing body of knowledge in corporate finance and managerial accounting in relation to the examination of this relationship in the African region. Finally, practitioners, including regulators, can benefit from the study's findings while devising investment policies for investors in the region. More specifically, the financial sector conduct authority (FSCA) in South Africa and the financial regulatory authority (FRA) in Egypt can consider these findings to devise financial policies that aim to foster the FP.
Social implications
Society benefits from the study's findings too. The efficient management of the WCM components will raise firm profits and investment opportunities for the society in Egypt and South Africa. A firm with good performance levels will increase salaries and will provide compensation to their employees in terms of bonuses. These compensations are one of the sources for achieving FP, which is evident from existing literature as well in the case of corporate governance studies. These compensations have psychological impacts as well. As society has its basic needs and goods, compensation levels will be tilted less toward societal ethical issues.
Originality/value
This study has various distinguishing features, which prior studies mostly lack, as most of these studies are on an individual country dataset, shorter periods, mixed results, lesser explanatory variables and no country-related control variables. The authors addressed all these challenges and provided robust results based on various measurement alternatives for the African markets. The study's results confirm a direct relationship between WCM and FP for South Africa and Egypt reflecting the emerging markets in Africa.
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Christopher Stutzman, Andrew Przyjemski and Abdalla R. Nassar
Powder bed fusion processes are common due to their ability to build complex components without the need for complex tooling. While additive manufacturing has gained increased…
Abstract
Purpose
Powder bed fusion processes are common due to their ability to build complex components without the need for complex tooling. While additive manufacturing has gained increased interest in industry, academia and government, flaws are often still generated during the deposition process. Many flaws can be avoided through careful processing parameter selections including laser power, hatch spacing, spot size and shielding gas flow rate. The purpose of this paper is to study the effect of shielding gas flow on vapor plume behavior and on final deposition quality. The goal is to understand more fully how each parameter affects the plume and deposition process.
Design/methodology/approach
A filtered-photodiode based sensor was mounted onto a commercial EOS M280 machine to observed plume emissions. Three sets of single tracks were printed, each with one of three gas flow rates (nominal, 75% nominal and 50% nominal). Each set contained single-track beads deposited atop printed pedestals to ensure a steady-state, representative build environment. Each track had a set power and speed combination which covered the typical range of processing parameters. After deposition, coupons were cross-sectioned and bead width and depth were measured. Finally, bead geometry was compared to optical emissions originating in the plume.
Findings
The results show that decreasing gas flow rate, increasing laser power or increasing scan speed led to increased optical emissions. Furthermore, decreasing the gas cross-flow speed led to wider and shallower melt pools.
Originality/value
To the best of the authors’ knowledge, this paper is among the first to present a relationship among laser parameters (laser power, scan speed), gas flow speed, plume emissions and bead geometry using high-speed in situ data in a commercial machine. This study proposes that scattering and attenuation from the plume are responsible for deviations in physical geometry.
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Syed Imran Zaman, Sharfuddin Ahmed Khan and Simonov Kusi-Sarpong
It is important to understand the factors that are significant in supply chain (SC) collaboration decision making and whether supply chain collaborative factors that are…
Abstract
Purpose
It is important to understand the factors that are significant in supply chain (SC) collaboration decision making and whether supply chain collaborative factors that are considered in the literature are still valid. To date, SC collaboration has not been extensively studied in the literature with supply chain finance (SCF) factors to evaluate SCF performance. Therefore, in this paper, the authors investigate the interrelationships between SCF and supply chain collaborative (SCC) factors for achieving SCF performance. The authors identified the most important factors from the literature on SCF and SCC and with inputs from experts in the textile industry in Pakistan.
Design/methodology/approach
The authors employed the Gray-Decision Making Trial and Evaluation Laboratory approach to help examine the cause-and-effect relationship between the factors and identify the influence of each factor on the others.
Findings
The findings showed that the most prominent factors of the study are “level of digitalization”, “information sharing”, and “collaborative communication”, and “most effect factors of this study are incentive alignment” and “information quality”. Furthermore, the “Level of digitalization” was identified as the factor with the central role and most significant correlation with other factors.
Research limitations/implications
The major implication of the study is that textile industries should effectively develop their supply chain decisions after analyzing their internal and external factors, which will help in developing strategies that will facilitate better management of SCF relationships. The limitations of the study are that only 15 SCF and supply chain collaborative factors were considered, and time and scope are also limited. This study is only applied in the textile industry, so generalization may be limited.
Originality/value
To date, this study is the only one that has taken into consideration SCC with SCF factors to evaluate supply chain performance. This paper therefore makes this initial attempt and original contribution to this discussion, which can be helpful for those working to enhance supply chain performance, such as practitioners and policymakers.
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Volodymyr Novykov, Christopher Bilson, Adrian Gepp, Geoff Harris and Bruce James Vanstone
Machine learning (ML), and deep learning in particular, is gaining traction across a myriad of real-life applications. Portfolio management is no exception. This paper provides a…
Abstract
Purpose
Machine learning (ML), and deep learning in particular, is gaining traction across a myriad of real-life applications. Portfolio management is no exception. This paper provides a systematic literature review of deep learning applications for portfolio management. The findings are likely to be valuable for industry practitioners and researchers alike, experimenting with novel portfolio management approaches and furthering investment management practice.
Design/methodology/approach
This review follows the guidance and methodology of Linnenluecke et al. (2020), Massaro et al. (2016) and Fisch and Block (2018) to first identify relevant literature based on an appropriately developed search phrase, filter the resultant set of publications and present descriptive and analytical findings of the research itself and its metadata.
Findings
The authors find a strong dominance of reinforcement learning algorithms applied to the field, given their through-time portfolio management capabilities. Other well-known deep learning models, such as convolutional neural network (CNN) and recurrent neural network (RNN) and its derivatives, have shown to be well-suited for time-series forecasting. Most recently, the number of papers published in the field has been increasing, potentially driven by computational advances, hardware accessibility and data availability. The review shows several promising applications and identifies future research opportunities, including better balance on the risk-reward spectrum, novel ways to reduce data dimensionality and pre-process the inputs, stronger focus on direct weights generation, novel deep learning architectures and consistent data choices.
Originality/value
Several systematic reviews have been conducted with a broader focus of ML applications in finance. However, to the best of the authors’ knowledge, this is the first review to focus on deep learning architectures and their applications in the investment portfolio management problem. The review also presents a novel universal taxonomy of models used.
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Nirupika Liyanapathirana and Chris Akroyd
This paper aims to understand how accountants in Sri Lanka perceive the effect of religiosity on ethical decision-making. Sri Lanka is a highly religious country, but it also has…
Abstract
Purpose
This paper aims to understand how accountants in Sri Lanka perceive the effect of religiosity on ethical decision-making. Sri Lanka is a highly religious country, but it also has a high level of corruption, so understanding ethical decision-making in this context is important for the accounting profession.
Design/methodology/approach
Data were collected using semi-structured interviews with 40 accountants in Sri Lanka with decision-making roles. Virtue ethics theory and content analysis were used to analyse the interview data and categorise accountants' responses into themes using an interpretive methodology.
Findings
This paper identifies three ways in which religiosity can influence accountants’ ethical decision-making. Firstly, through a faith in the beliefs of their religion; secondly, through awareness of religious prescriptions and virtues; and thirdly, through a commitment towards religious practices and rituals. However, the findings show that religiosity does not always influence the ethical decision-making of accountants because of pervasive corruption, which is a cultural norm in contemporary Sri Lanka. Thus, it is evident that there is an interrelationship between religious and cultural environments which can influence ethical decision-making.
Originality/value
While the religiosity of accountants can support ethical decision-making, the findings of this paper show that the cultural norm of corruption can mediate this connection as the evidence shows that accountants with a strong religious background, irrespective of their religion, may still act unethically when corruption is a cultural norm.
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Edem Maxwell Azila-Gbettor, Christopher Mensah, Martin Kwasi Abiemo and Mavis Agbodza
The study examines a mediated, moderated process of students' intellectual engagement from optimism, academic self-efficacy and academic burnout.
Abstract
Purpose
The study examines a mediated, moderated process of students' intellectual engagement from optimism, academic self-efficacy and academic burnout.
Design/methodology/approach
Five hundred and twenty-seven participants who completed a self-reported questionnaire were selected using a convenient sampling technique. PLSc was used to test the proposed hypotheses.
Findings
Results showed that optimism positively affects students' intellectual engagement and academic self-efficacy. Additionally, academic self-efficacy correlates positively with students' intellectual engagement and further mediates the relationship between optimism and intellectual engagement. Finally, the moderation effect of academic burnout was positive and non-significant.
Originality/value
This paper is among the first to have tested a model including optimism, academic self-efficacy, intellectual engagement and academic burnout in a university setup from a developing country perspective.
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Gina Myers and Christopher Kowal
Violence toward frontline health-care workers (HCWs) from patients and visitors is a pervasive issue that ranges from verbal and psychological abuse to physical assault. The…
Abstract
Purpose
Violence toward frontline health-care workers (HCWs) from patients and visitors is a pervasive issue that ranges from verbal and psychological abuse to physical assault. The emergence of the COVID-19 pandemic has led to increased reports of escalated verbal workplace aggressions (VWPAs); however, most studies have been conducted internationally. Studies based in the USA have focused on physical violence experienced by nurses and paramedics in emergency situations. The purpose of this study is to learn about the experiences of different levels of frontline HCWs with VWPA from patients and visitors and discover ways to address this issue.
Design/methodology/approach
This qualitative descriptive study asked registered nurses, licensed practical nurses and patient care technicians from one health-care system about their experiences with patient and visitor VWPA using an anonymous, voluntary open-ended survey and in-person interviews. In all, 31 participants completed the survey and 2 were interviewed. Data were analyzed using content analysis.
Findings
Three themes emerged from the data: the experience, moving through and moving forward. Frontline HCWs described experiences of VWPA, indicating its forms, frequency and conditions. They used coping, along with personal and professional measures, to manage and move through the situation. Moving forward was captured as suggestions for the future and conveyed hope for a perfect state.
Originality/value
The experiences of frontline HCWs offered insight into how they perceive and cope with difficult encounters. Recommendations relate to not only implementing interventions that support frontline HCWs but also creating a culture where aggression is not tolerated and addressing perpetrator behavior is a priority.
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