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Book part
Publication date: 13 March 2023

Adrien B. Bonache and Kenneth J. Smith

This chapter combines quantitative studies of the connections between stressors and performance in accounting settings and identifies the mediators and moderators of…

Abstract

This chapter combines quantitative studies of the connections between stressors and performance in accounting settings and identifies the mediators and moderators of stressors–performance relationships. Using meta-analyses and path analyses, this research compiles 72 studies to investigate the relationships of stressors with accountant and auditor performance. As hypothesized, bivariate meta-analyses results indicate that work-related stressors negatively affect performance, and burnout and stress are negatively related to performance, whereas motivation is positively related to performance. Moreover, a meta-analytical structural equation modeling indicates that role stressors have significant direct and indirect effects (through burnout and stress) on job performance. Accumulation of multiple samples through meta-analysis bolsters statistical power compared to single-sample studies and thus reveals the sign of residual direct effects of role stressors on job performance in accounting settings.

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Advances in Accounting Behavioral Research
Type: Book
ISBN: 978-1-80455-798-3

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Organizational Culture and Its Impact on Continuous Improvement in Manufacturing
Type: Book
ISBN: 978-1-80262-404-5

Book part
Publication date: 8 October 2020

Jeremy D. Mackey, Charn P. McAllister, Liam P. Maher and Gang Wang

Recently, there has been an increase in the number and type of studies in the organizational sciences that examine curvilinear relationships. These studies are important because…

Abstract

Recently, there has been an increase in the number and type of studies in the organizational sciences that examine curvilinear relationships. These studies are important because some relationships have context-specific inflection points that alter their magnitude and/or direction. Although some scholars have utilized basic techniques to make meta-analytic inferences about curvilinear effects with the limited information available about them, there is still a tremendous opportunity to advance our knowledge by utilizing rigorous techniques to meta-analytically examine curvilinear effects. In a recent study, we used a novel meta-analytic approach in an effort to comprehensively examine curvilinear relationships between destructive leadership and followers' workplace outcomes. The purpose of this chapter is to provide an actionable guide for conducting curvilinear meta-analyses by describing the meta-analytic techniques we used in our recent study. Our contributions include a detailed guide for conducting curvilinear meta-analyses, the useful context we provide to facilitate its implementation, and our identification of opportunities for scholars to leverage our technique in future studies to generate nuanced knowledge that can advance their fields.

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Advancing Methodological Thought and Practice
Type: Book
ISBN: 978-1-80043-079-2

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Book part
Publication date: 1 December 2008

Kanak Patel and Ricardo Pereira

This chapter analyses the ability of some structural models to predict corporate bankruptcy. The study extends the existing empirical work on default risk in two ways. First, it…

Abstract

This chapter analyses the ability of some structural models to predict corporate bankruptcy. The study extends the existing empirical work on default risk in two ways. First, it estimates the expected default probabilities (EDPs) for a sample of bankrupt companies in the USA as a function of volatility, debt ratio, and other company variables. Second, it computes default correlations using a copula function and extracts common or latent factors that drive companies’ default correlations using a factor-analytical technique. Idiosyncratic risk is observed to change significantly prior to bankruptcy and its impact on EDPs is found to be more important than that of total volatility. Information-related tests corroborate the results of prediction-orientated tests reported by other studies in the literature; however, only a weak explanatory power is found in the widely used market-to-book assets and book-to-market equity ratio. The results indicate that common factors, which capture the overall state of the economy, explain default correlations quite well.

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Econometrics and Risk Management
Type: Book
ISBN: 978-1-84855-196-1

Book part
Publication date: 25 September 2020

Eser Yeşildağ, Ercan Özen and Ender Baykut

Introduction: Decision making is always based on several factors which may affect the possible outcomes, especially in financial markets. Instead of having many criteria which may…

Abstract

Introduction: Decision making is always based on several factors which may affect the possible outcomes, especially in financial markets. Instead of having many criteria which may be required for decision making, “Multiple Criteria Decision Making” (MCDM) models might be used as a tool to reduce all criteria into a single one.

Purpose: The aim of this study is to measure the financial performance of commercial banks listed on Borsa Istanbul (BIST) by the MCDM.

Method: To this end, data from 15 different financial ratios from 11 commercial banks were used between the periods of 2002 and 2018. Both TOPSIS and gray relational analysis (GRA) models were used, which are commonly used in the literature for detecting the financial performance of listed banks in BIST based on their consolidated financial statements.

Results: According to the TOPSIS method, while the best bank is QNB Finansbank, HALKB, a public bank, was determined as the best bank using the GRA method. There is no significant correlation between financial performance indicators and market returns obtained by either method, with exceptions. There is no generally significant correlation detected between financial ratios and market returns. Accordingly, it is concluded that the bank stock prices in the study are shaped by the influence of external factors and expectations. The study results include information that can be used for different purposes among bank managers, academics and financial investors.

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Uncertainty and Challenges in Contemporary Economic Behaviour
Type: Book
ISBN: 978-1-80043-095-2

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Book part
Publication date: 20 October 2011

Graham Currie and Alexa Delbosc

Purpose — This chapter overviews the field survey results. It includes simple tabulations of transport-related survey results, analysis of transport problems, the impact of fuel…

Abstract

Purpose — This chapter overviews the field survey results. It includes simple tabulations of transport-related survey results, analysis of transport problems, the impact of fuel price increases, home location decisions, forced car ownership (FCO) analysis and coping strategies with low/zero-car ownership. Some preliminary analysis is undertaken of realised trip rates and correlations of elements of the survey results.

Methodology — Methodology concerns the quantitative statistical analysis of survey findings including some simple correlation tests.

Findings — Over half the sample faced difficulty accessing activities because of transport problems. Between 1 and 10% identified activities they cannot do because of transport problems (a higher share in Latrobe).

Nearly half had changed travel habits because of petrol price increases most commonly increasing the activities completed on each trip (trip linking). Affordability was the most important reason for home location. A quarter of those who helped decide where to live now wish they had considered other factors most commonly living closer to public transport. FCO households agreed that transport costs were high and used a diverse range of strategies to reduce costs. A high majority said their choices were limited; however, many also liked the mobility and home location choices they had made.

Results also show a strong positive link between income, employment, car ownership and mobility. Social exclusion and well-being have a negative correlation at a high level of statistical significance.

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New Perspectives and Methods in Transport and Social Exclusion Research
Type: Book
ISBN: 978-1-78-052200-5

Book part
Publication date: 5 December 2018

Wan-Yu Liu

This research constructs the critical predictors of visitation that shall allow the practitioners to foresee the visitation in the years to come through secondary data. For this…

Abstract

This research constructs the critical predictors of visitation that shall allow the practitioners to foresee the visitation in the years to come through secondary data. For this study, tourist arrival data associated with the most popular forest park (i.e., Xiton Forest Park) in Taiwan along with relevant socio-economic data are utilized. This research adopts a group of analytical procedures involving correlation analysis, regression, and curve estimation analyses. The results show that the number of holiday per month and the average monthly rainfall have positive and negative correlations, respectively, with the visitation. Meanwhile, average monthly temperature and monthly gross domestic product per capita show a positive correlation in all three analytical methods and therefore are regarded as the primary predictors of tourist arrival. Consequently, this study provides managerial implications to increase the tourist arrivals to the forest park.

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Advances in Hospitality and Leisure
Type: Book
ISBN: 978-1-78769-303-6

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Book part
Publication date: 11 November 2019

Punyaslok Dhall

This paper is the main section on quantitative data analysis. It explains the concepts at a greater detail to help non-Math/Stat scholars to understand the basics easily. Proper…

Abstract

This paper is the main section on quantitative data analysis. It explains the concepts at a greater detail to help non-Math/Stat scholars to understand the basics easily. Proper data analysis is critical to any research. If data are not properly analyzed, then it may give results which either cannot be properly interpreted or wrongly interpreted. This section covers univariate, multivariate analysis and then, factor analysis, cluster analysis, conjoint analysis, and multidimensional scaling (MDS) techniques.

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Methodological Issues in Management Research: Advances, Challenges, and the Way Ahead
Type: Book
ISBN: 978-1-78973-973-2

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Book part
Publication date: 28 September 2023

M Anand Shankar Raja, Keerthana Shekar, B Harshith and Purvi Rastogi

The COVID-19 pandemic has recently had an impact on the stock market all over the globe. A thorough review of the literature that included the most cited articles and articles…

Abstract

The COVID-19 pandemic has recently had an impact on the stock market all over the globe. A thorough review of the literature that included the most cited articles and articles from well-known databases revealed that earlier research in the field had not specifically addressed how the BRIC stock markets responded to the COVID-19 pandemic. The data regarding COVID-19 were collected from the World Health Organization (WHO) website, and the stock market data were collected from Yahoo Finance and the respective country’s stock exchange. A random forest regression algorithm takes the closing price of respective stock indices as target variables and COVID-19 variables as input variables. Using this algorithm, a model is fit to the data and is visualised using line plots. This study’s findings highlight a relationship between the COVID-19 variables and stock market indices. In addition, the stock market of BRIC countries showed a high correlation, especially with the Shanghai Composite Stock Index with a correlation value of 0.7 and above. Brazil took the worst hit in the studied duration by declining approximately 45.99%, followed by India by 37.76%. Finally, the data set’s model fit, which employed the random forest machine learning method, produced R2 values of 0.972, 0.005, 0.997, and 0.983 and mean percentage errors of 1.4, 0.8, 0.9, and 0.8 for Brazil, Russia, India, and China (BRIC), respectively. Even now, two years after the coronavirus pandemic started, the Brazilian stock index has not yet returned to its pre-pandemic level.

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Digital Transformation, Strategic Resilience, Cyber Security and Risk Management
Type: Book
ISBN: 978-1-83797-009-4

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Abstract

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Hyogo Framework for Action and Urban Disaster Resilience
Type: Book
ISBN: 978-1-78350-927-0

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