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1 – 10 of 96The purpose of this paper is to settle the methodological debate on the decomposition of value added in gross exports, proposing a standard, exposing the drawbacks of the…
Abstract
Purpose
The purpose of this paper is to settle the methodological debate on the decomposition of value added in gross exports, proposing a standard, exposing the drawbacks of the alternatives and quantifying the differences.
Design/methodology/approach
This paper systematizes the analytical framework and assesses and quantifies the various methodologies and its main differences.
Findings
The decomposition method of Borin and Mancini (2023), using a source-based approach and an exporting country perspective, should be considered as the standard for decomposing the value added in gross exports. This study finds that alternative approaches and perspectives are methodologically inferior, and that tailored perspectives do not provide an increase in accuracy that compensates their drawbacks.
Originality/value
This paper’s contribution is fourfold: it rejects the alleged equivalence between approaches and perspectives, defending the superiority of a particular method, approach and perspective; it gives quantitative examples of the differences between them; it proves that the drawbacks of tailored perspectives do not compensate their alleged accuracy (as they do not result in big quantitative differences with the standard perspective); and it argues that no valid standard decomposition can forego the calculation of value added exported, which requires the expression of exports in terms of final demand.
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Toan Thi Phuoc Dang and Vinh Thi Thanh Do
This study offers an empirical framework for how hotel employees CSR perceptions affect their job satisfaction by incorporating the parallel mediating roles of organizational…
Abstract
Purpose
This study offers an empirical framework for how hotel employees CSR perceptions affect their job satisfaction by incorporating the parallel mediating roles of organizational identification and psychological contract fulfillment. In addition, it examines the moderator effects of employees' CSR-induced attributions on the constructed mediated model, providing a powerful lens through which to evaluate when and how employees' CSR perceptions influence organizational identification and psychological contract fulfillment.
Design/methodology/approach
The study use PLS-SEM techniques to analyze a sample of 520 employees from 49 luxury hotels with 4–5 stars in Khanh Hoa province, Vietnam.
Findings
The results show that CSR positively influences job satisfaction through the mediating role of psychological contract fulfillment and organizational identification. Besides, attachment styles also play moderator role in the relationship between CSR and psychological contract fulfillment/organizational identification.
Practical implications
The discoveries elucidated within this research endeavor proffer actionable discernments to be earnestly contemplated by professionals entrenched in the hotel industry, earnestly aspiring to ameliorate the contentment of their workforce and, concomitantly, augment the overarching efficacy of their organizational operations.
Originality/value
This study provides human resource departments with insights and suggestions for maximizing the efficacy of CSR implementation in the hotel industry.
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Michael O'Neill and Gulasekaran Rajaguru
The authors analyse six actively traded VIX Exchange Traded Products (ETPs) including 1x long, −1x inverse and 2x leveraged products. The authors assess their impact on the VIX…
Abstract
Purpose
The authors analyse six actively traded VIX Exchange Traded Products (ETPs) including 1x long, −1x inverse and 2x leveraged products. The authors assess their impact on the VIX Futures index benchmark.
Design/methodology/approach
Long-run causal relations between daily price movements in ETPs and futures are established, and the impact of rebalancing activity of leveraged and inverse ETPs evidenced through causal relations in the last 30 min of daily trading.
Findings
High frequency lead lag relations are observed, demonstrating opportunities for arbitrage, although these tend to be short-lived and only material in times of market dislocation.
Originality/value
The causal relations between VXX and VIX Futures are well established with leads and lags generally found to be short-lived and arbitrage relations holding. The authors go further to capture 1x long, −1x inverse as well as 2x leveraged ETNs and the corresponding ETFs, to give a broad representation across the ETP market. The authors establish causal relations between inverse and leveraged products where causal relations are not yet documented.
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Andreas Gschwentner, Manfred Kaltenbacher, Barbara Kaltenbacher and Klaus Roppert
Performing accurate numerical simulations of electrical drives, the precise knowledge of the local magnetic material properties is of utmost importance. Due to the various…
Abstract
Purpose
Performing accurate numerical simulations of electrical drives, the precise knowledge of the local magnetic material properties is of utmost importance. Due to the various manufacturing steps, e.g. heat treatment or cutting techniques, the magnetic material properties can strongly vary locally, and the assumption of homogenized global material parameters is no longer feasible. This paper aims to present the general methodology and two different solution strategies for determining the local magnetic material properties using reference and simulation data.
Design/methodology/approach
The general methodology combines methods based on measurement, numerical simulation and solving an inverse problem. Therefore, a sensor-actuator system is used to characterize electrical steel sheets locally. Based on the measurement data and results from the finite element simulation, the inverse problem is solved with two different solution strategies. The first one is a quasi Newton method (QNM) using Broyden's update formula to approximate the Jacobian and the second is an adjoint method. For comparison of both methods regarding convergence and efficiency, an artificial example with a linear material model is considered.
Findings
The QNM and the adjoint method show similar convergence behavior for two different cutting-edge effects. Furthermore, considering a priori information improved the convergence rate. However, no impact on the stability and the remaining error is observed.
Originality/value
The presented methodology enables a fast and simple determination of the local magnetic material properties of electrical steel sheets without the need for a large number of samples or special preparation procedures.
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This paper aims to offer a tutorial/introduction to new statistics arising from the theory of optimal transport to empirical researchers in econometrics and machine learning.
Abstract
Purpose
This paper aims to offer a tutorial/introduction to new statistics arising from the theory of optimal transport to empirical researchers in econometrics and machine learning.
Design/methodology/approach
Presenting in a tutorial/survey lecture style to help practitioners with the theoretical material.
Findings
The tutorial survey of some main statistical tools (arising from optimal transport theory) should help practitioners to understand the theoretical background in order to conduct empirical research meaningfully.
Originality/value
This study is an original presentation useful for new comers to the field.
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Ke Zhang and Ailing Huang
The purpose of this paper is to provide a guiding framework for studying the travel patterns of PT users. The combination of public transit (PT) users’ travel data and user…
Abstract
Purpose
The purpose of this paper is to provide a guiding framework for studying the travel patterns of PT users. The combination of public transit (PT) users’ travel data and user profiling (UP) technology to draw a portrait of PT users can effectively understand users’ travel patterns, which is important to help optimize the scheduling of PT operations and planning of the network.
Design/methodology/approach
To achieve the purpose, the paper presents a three-level classification method to construct the labeling framework. A station area attribute mining method based on the term frequency-inverse document frequency weighting algorithm is proposed to determine the point of interest attributes of user travel stations, and the spatial correlation patterns of user travel stations are calculated by Moran’s Index. User travel feature labels are extracted from travel data containing Beijing PT data for one consecutive week.
Findings
In this paper, a universal PT user labeling system is obtained and some related methods are conducted including four categories of user-preferred travel area patterns mining and a station area attribute mining method. In the application of the Beijing case, a precise exploration of the spatiotemporal characteristics of PT users is conducted, resulting in the final Beijing PTUP system.
Originality/value
This paper combines UP technology with big data analysis techniques to study the travel patterns of PT users. A user profile label framework is constructed, and data visualization, statistical analysis and K-means clustering are applied to extract specific labels instructed by this system framework. Through these analytical processes, the user labeling system is improved, and its applicability is validated through the analysis of a Beijing PT case.
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This study aims to explore the relationship between risk governance characteristics (chief risk officer [CRO], chief financial officer [CFO] and senior directors [SENIOR]) and…
Abstract
Purpose
This study aims to explore the relationship between risk governance characteristics (chief risk officer [CRO], chief financial officer [CFO] and senior directors [SENIOR]) and regulatory adjustments (RAs) in Organization for Economic Cooperation and Development public commercial banks.
Design/methodology/approach
Using principal component analysis (PCA) and regression models, the research analyzes a representative data set of these banks.
Findings
A significant negative correlation between risk governance characteristics and RAs is found. Sensitivity analysis on the regulatory Tier 1 capital ratio and the total capital ratio indicates mixed outcomes, suggesting a complex relationship that warrants further exploration.
Research limitations/implications
The study’s limited sample size calls for further research to confirm findings and explore risk governance’s impact on banks’ capital structures.
Practical implications
Enhanced risk governance could reduce RAs, influencing banking policy.
Social implications
The study advocates for improved banking regulatory practices, potentially increasing sector stability and public trust.
Originality/value
This study contributes to understanding risk governance’s role in regulatory compliance, offering insights for policymaking in banking.
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Manuel Rossetti, Juliana Bright, Andrew Freeman, Anna Lee and Anthony Parrish
This paper is motivated by the need to assess the risk profiles associated with the substantial number of items within military supply chains. The scale of supply chain management…
Abstract
Purpose
This paper is motivated by the need to assess the risk profiles associated with the substantial number of items within military supply chains. The scale of supply chain management processes creates difficulties in both the complexity of the analysis and in performing risk assessments that are based on the manual (human analyst) assessment methods. Thus, analysts require methods that can be automated and that can incorporate on-going operational data on a regular basis.
Design/methodology/approach
The approach taken to address the identification of supply chain risk within an operational setting is based on aspects of multiobjective decision analysis (MODA). The approach constructs a risk and importance index for supply chain elements based on operational data. These indices are commensurate in value, leading to interpretable measures for decision-making.
Findings
Risk and importance indices were developed for the analysis of items within an example supply chain. Using the data on items, individual MODA models were formed and demonstrated using a prototype tool.
Originality/value
To better prepare risk mitigation strategies, analysts require the ability to identify potential sources of risk, especially in times of disruption such as natural disasters.
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Marko Vladisavljevic and Lara Lebedinski
This paper aims to analyse COVID-19’s effects on job loss and job finding rate in Serbia, focusing on groups with already low employment before the pandemic, such as youth, women…
Abstract
Purpose
This paper aims to analyse COVID-19’s effects on job loss and job finding rate in Serbia, focusing on groups with already low employment before the pandemic, such as youth, women, low-educated and rural areas.
Design/methodology/approach
The authors exploit the panel structure of the Labour Force Survey (LFS) data for Serbia to analyse if the impact of the pandemic on transition probabilities was different for vulnerable groups and their counterparts during the first year of the pandemic.
Findings
The results indicate that stagnation in overall employment growth in Serbia during the first year of the COVID-19 crisis resulted from decreases in new hiring rather than increases in job losses. However, trends differed for vulnerable groups. Young workers faced the highest increase in job losses, partly due to their higher shares in informal wage employment. In contrast, decreases in job finding rates were particularly high among low-educated and in rural areas.
Practical implications
After the first year of the COVID-19 pandemic, employment opportunities of vulnerable groups further deteriorated, and already existing labour market inequalities were exacerbated. These effects are partially due to policies implemented to mitigate the crisis, which focused on preserving permanent employment while leaving vulnerable workers and groups unprotected.
Originality/value
The authors investigate the annual effects of the first year of the pandemic in a country with a large informal sector and explore the role of vulnerable groups’ job characteristics in transition changes.
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