empirical results
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2022 ◽  
Vol 102 ◽  
pp. 103151
Leihan Zhang ◽  
Shengyu Xiong ◽  
Le Zhang ◽  
Lin Bai ◽  
Qiang Yan

Kybernetes ◽  
2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Zhen-Yu Chen

PurposeMost epidemic transmission forecasting methods can only provide deterministic outputs. This study aims to show that probabilistic forecasting, in contrast, is suitable for stochastic demand modeling and emergency medical resource planning under uncertainty.Design/methodology/approachTwo probabilistic forecasting methods, i.e. quantile regression convolutional neural network and kernel density estimation, are combined to provide the conditional quantiles and conditional densities of infected populations. The value of probabilistic forecasting in improving decision performances and controlling decision risks is investigated by an empirical study on the emergency medical resource planning for the COVID-19 pandemic.FindingsThe managerial implications obtained from the empirical results include (1) the optimization models using the conditional quantile or the point forecasting result obtain better results than those using the conditional density; (2) for sufficient resources, decision-makers' risk preferences can be incorporated to make tradeoffs between the possible surpluses and shortages of resources in the emergency medical resource planning at different quantile levels; and (3) for scarce resources, the differences in emergency medical resource planning at different quantile levels greatly decrease or disappear because of the existing of forecasting errors and supply quantity constraints.Originality/valueVery few studies concern probabilistic epidemic transmission forecasting methods, and this is the first attempt to incorporate deep learning methods into a two-phase framework for data-driven emergency medical resource planning under uncertainty. Moreover, the findings from the empirical results are valuable to select a suitable forecasting method and design an efficient emergency medical resource plan.

2022 ◽  
Vol 9 ◽  
Stanley Y. B. Huang ◽  
Chun-Chieh Yu ◽  
Yue-Shi Lee

This survey employs the multilevel growth curve model to demonstrate how to promote the development of the company’s environmental innovation in agricultural companies specializing in the agricultural production and export of agricultural products to achieve sustainable production through environmental social responsibility and environmental engagement according to the engagement theory. The empirical data are collected 30 chief executive officers and their 90 supervisors of top management teams (TMTs) of Taiwanese agricultural companies in 2 months. The empirical results demonstrate that environmental social responsibility significantly influences the top management teams’ environmental engagement development, which in turn significantly influences the agricultural company’s environmental innovation. These empirical results can not only promote the sustainable production literature in the agricultural field but also help these agricultural companies implement environmental innovation to realize sustainable production of agricultural exports.

2022 ◽  
Abbas Ali Chandio ◽  
Martinson Ankrah Twumasi ◽  
Fayyaz Ahmad ◽  
Ghulam Raza Sargani ◽  
Yuansheng Jiang

Abstract The study aims to examine the impacts of climate change (CC) and financial development (FD) on rice production (RP) in Thailand from the period 1969 to 2016 by using the ARDL and VECM framework. The empirical results revealed that in the long- run (LR) and short-run (SR) there is a reduction in rice production as temperature increase. The carbon dioxide (CO2) positively affects rice production in the (LR), while this connection is negative in the SR. The empirical results further confirmed that in the LR and SR domestic credit provided by the financial sector positively and significantly improved rice production, while domestic credit to private sector by banks negatively affect rice production. The important input factors including cultivated area, fertilizers use and labor force positively and significantly contributed to rice production in both LR and SR. The LR causal link of all variables with rice production is validated. The SR causal association is unidirectional among temperature, CO2 emissions, financial development, labor force and rice production. Additionally, the IRF and VDM outcomes also confirm that both climate change and socioeconomic development are crucial for rice production in Thailand. The study offers important policy implications to improve rice production with the help of improved financial system and climate controls.

2022 ◽  
Changjian Shui ◽  
Boyu Wang ◽  
Christian Gagné

AbstractA crucial aspect of reliable machine learning is to design a deployable system for generalizing new related but unobserved environments. Domain generalization aims to alleviate such a prediction gap between the observed and unseen environments. Previous approaches commonly incorporated learning the invariant representation for achieving good empirical performance. In this paper, we reveal that merely learning the invariant representation is vulnerable to the related unseen environment. To this end, we derive a novel theoretical analysis to control the unseen test environment error in the representation learning, which highlights the importance of controlling the smoothness of representation. In practice, our analysis further inspires an efficient regularization method to improve the robustness in domain generalization. The proposed regularization is orthogonal to and can be straightforwardly adopted in existing domain generalization algorithms that ensure invariant representation learning. Empirical results show that our algorithm outperforms the base versions in various datasets and invariance criteria.

2022 ◽  
Vol 70 (1) ◽  
pp. 140-156
Milica Đekić

Introduction/purpose: A static absorber is capable of neutralizing any signal either in the physical or virtual domain and its analysis will be presented in this paper. Methods: The approach used here includes purely scientific thoughts as well as a model with its explanations evaluated step by step applying highly sophisticated computer tools for design and simulation. No empirical results will be attached, only claims with their evidence. Results: The crucial outcome of this research is a completely new approach to binary systems that are now observed as a set of real numbers. Conclusion: The purpose of this research is to introduce something brand-new that can be used in cyber industry while a dynamic variation of the absorber is still under development.

2022 ◽  
pp. 433-450
Sérgio António Neves Lousada ◽  
Cátia Tabau ◽  
Eduardo Leite ◽  
Andreia Carvalho

This chapter seeks to understand the motivations that lead companies to internationalize and how they do it since this has been a constant challenge for business research. For this purpose, a descriptive research was conducted with a qualitative strategy applied on different companies in the wine sector. International trade is a Portuguese tradition that started and reached its peak in the 16th century with the Portuguese and Spanish discoveries, which justifies this study. The wine industry, particularly in the Douro Region, has also always been closely linked to foreign trade and has even benefited from a historic trade agreement with the United Kingdom. The empirical results show that companies are practically born international. The size of the domestic market was the main justification for the demand for external markets. The constant evolution of markets and industries generates opportunities and potential threats to which companies must be able to respond.

2022 ◽  
pp. 959-973
Nay Zar Aung ◽  
Youji Kohda

This article explores the concept of familiness in family-owned businesses (FOBs), identifying how families generate their own resources for business performance. Applying the resource-based view, the authors examined seven Myanmar businesses. Findings revealed that two factors influence familiness in Myanmar FOB: family unity and internal governance systems, which can be subdivided into traditional and collective systems. Moreover, evaluation revealed that FOB's business performance was affected by different family attitudes. A combination of family unity and a traditional internal governance system was conducive to controlling the internal business capabilities, whereas creating external opportunities were considered more effective for a combination of family unity and a collective internal governance system. Findings suggest that familiness emerges through embedded family resources that incorporates a sense of awareness with abilities for business advantages. These empirical results can provide insights and inputs that can help small and medium-sized FOBs safeguard their future.

2021 ◽  
Vol 39 (4 supplement) ◽  
pp. 1336-1345
Abobaker Al.Al. HADOOD ◽  
Ridha Ali Mohamed BEN SALEH ◽  
Khaled AB EMGEG ◽  

Tourism has become an information-intensive business that heavily relies on ICT to provide information and conduct transactions for consumers of touristic products and services. Thus, ICT infrastructure would play a major role in the development of the tourism sector. This paper aims to investigate the threshold effect of ICT infrastructure on tourism sector development in top10 African tourism destinations including ; Botswana, Egypt, Kenya, Morocco, Namibia, Rwanda, South Africa, Tanzania, Tunisia, Uganda. To do so, a double panel threshold regression model utilized over the period 2004 to 2017. The empirical results revealed a new perspective that there is a double-threshold effect of ICT infrastructure on the development of tourism sector, indicating a non-linear effect of ICT infrastructure on the development of tourism sector in top 10 African tourism destinations. More specifically, the empirical results reveal that ICT infrastructure weakly and positively derives the number of intentional tourism arrivals and international tourist receipts when the level of ICT infrastructure is less or equal to the first threshold, while it strongly and positively derives the number of intentional tourism arrivals and international tourist when the level of ICT infrastructure is less or equal to the first and second thresholds. Thus, this paper provides important implications for policy makers, in that maximizing the benefits from information technology in developing tourism sector can be achieved when its level between certain critical threshold values.

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