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Understanding the Linear and Curvilinear Influences of Job Satisfaction and Tenure on Turnover Intention of Public Sector Employees in Mongolia 了解蒙古公共部门员工工作满意度和任期对离职意愿的线性和曲线影响
Q2 Decision Sciences
Advances in Decision Sciences
Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i3p25-53
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引用次数: 1
Forecasting the Impact of COVID-19 Epidemic on China Exports using Different Time Series Models 基于不同时间序列模型预测新冠肺炎疫情对中国出口的影响
Q2 Decision Sciences
Advances in Decision Sciences
Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i1p102-127
S. Safi, O. I. Sanusi, M. I. Tabash
Purpose: The primary objective of this paper is to identify the best forecasting model for China exports, especially during the spread of the COVID-19 pandemic. Methodology: We used the data of China exports to the United States and different economic regions from January 2014 to January 2021 to compare models using various criteria and selected the best exports forecast model. The hybrid model is employed to conduct the analysis. The combination of the hybrid model consists of six different models: ARIMA, ETS, Theta, NNAR, seasonal and trend decomposition, and TBATS model. Findings: Our results showed that the hybrid and ANN outperformed the remaining models in forecasting China exports to the world, considering the shock created by the ongoing coronavirus pandemic. This paper underscores the importance of using the specified models in forecasting exports during this period. The results also demonstrate that the magnitude of China exports to all groups decreased and will continue to decline for the next few months. Practical Implication: Forecasting of the export data is presented for the subsequent nine months, thereby providing insights to all policymakers, governments, and investors to be proactive in designing their strategies to avoid any delay/disruption in the imports from China, which could enhance the smooth flow of raw material and sustain industrial production. © 2022 Hindawi Limited. All rights reserved.
目的:本文的主要目标是确定中国出口的最佳预测模型，特别是在COVID-19大流行蔓延期间。方法:利用2014年1月至2021年1月中国对美出口及不同经济区域的出口数据，对不同标准下的模型进行比较，选出最佳的出口预测模型。采用混合模型进行分析。混合模型组合由ARIMA、ETS、Theta、NNAR、季节和趋势分解、TBATS模型等6个模型组成。研究结果表明，考虑到持续的冠状病毒大流行带来的冲击，混合模型和人工神经网络在预测中国对世界的出口方面优于其他模型。本文强调了使用特定模型预测这一时期出口的重要性。结果还表明，中国对所有集团的出口规模都有所下降，并将在未来几个月继续下降。实际意义:对未来9个月的出口数据进行预测，从而为所有政策制定者、政府和投资者提供见解，以积极主动地设计策略，避免从中国进口的任何延迟/中断，这可以增强原材料的顺畅流动，并维持工业生产。©2022 Hindawi Limited。版权所有。
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引用次数: 4
Good Governance and Sustainable Investment: The Effects of Governance Indicators on Stock Market Returns 善治与可持续投资:治理指标对股市收益的影响
Q2 Decision Sciences
Advances in Decision Sciences
Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i1p69-101
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引用次数: 8
Do Exchange Traded Funds in India Have Tracking and Pricing Efficiency? 印度交易所交易基金是否具有跟踪和定价效率?
Q2 Decision Sciences
Advances in Decision Sciences
Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i2p1-25
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引用次数: 0
Extension of Classical TOPSIS Method Using Q-Rung Orthopair Triangular Fuzzy Number 用Q-Rung正三角模糊数扩展经典TOPSIS方法
Q2 Decision Sciences
Advances in Decision Sciences
Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i1p163-187
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引用次数: 0
Trans-purchase Intention in Transmedia Storytelling 跨媒体叙事中的跨购买意向
Q2 Decision Sciences
Advances in Decision Sciences
Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i2p48-63
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引用次数: 2
Does ESG Compliance Boost Indian Companies’ and Investors’ Immunity Against Economic Uncertainties An Empirical Study ESG合规是否提高了印度公司和投资者对经济不确定性的免疫力——实证研究
Q2 Decision Sciences
Advances in Decision Sciences
Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i3p123-140
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引用次数: 0
Mode Shift Behavior of Commuters Toward Islamabad Metro Bus Service 伊斯兰堡地铁公交服务通勤者的模式转换行为
Q2 Decision Sciences
Advances in Decision Sciences
Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i3p1-24
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引用次数: 8
Option Pricing Under an Abnormal Economy using the Square Root of the Brownian Motion 利用布朗运动平方根的异常经济下的期权定价
Q2 Decision Sciences
Advances in Decision Sciences
Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i5p14
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引用次数: 1
Revisiting the impacts of globalization, renewable energy consumption, and economic growth on environmental quality in South Asia 回顾全球化、可再生能源消费和经济增长对南亚环境质量的影响
Q2 Decision Sciences
Advances in Decision Sciences
Pub Date : 2022-01-01 DOI: 10.47654/v26y2022i3p75-98
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引用次数: 27
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