美韩同盟强化与中国的战略应对

美韩同盟缘起于朝鲜战争,维系在冷战环境中,是朝鲜半岛局势紧张、东北亚安全困境的症结之一。21世纪初美国出于护持其东北亚地区主导地位和应对中国崛起的战略需要,采取了同步强化美日、美韩同盟的政策。近年中国东南海疆困局与美国重返亚太的重合性令人疑虑美国正在推行新的遏制中国崛起政策。2010年3月以来朝鲜半岛事态的发展具有超越韩朝争端剑指中国的特点,令中国周边外交与安全开始步入困局。美韩同盟强化是美国在东亚为遏制中国崛起谋篇布局的组成部分,韩美日同盟发展的东北亚小北约走向对中国东亚地缘安全利益产生巨大影响。如何应对美韩同盟强化所带来的东亚地缘安全挑战,护持中国在东亚地区的安全利益,值得我们高度关注和认真研究。     

A sustainable supply chain network considering lot sizing with quantity discounts under disruption risks: centralized and decentralized models

This study proposes a framework for the main parties of a sustainable supply chain network considering lot-sizing impact with quantity discounts under disruption risk among the first studies. The proposed problem differs from most studies considering supplier selection and order allocation in this area. First, regarding the concept of the triple bottom line, total cost, environmental emissions, and job opportunities are considered to cover the criteria of sustainability. Second, the application of this supply chain network is transformer production. Third, applying an economic order quantity model lets our model have a smart inventory plan to control the uncertainties. Most significantly, we present both centralized and decentralized optimization models to cope with the considered problem. The proposed centralized model focuses on pricing and inventory decisions of a supply chain network with a focus on supplier selection and order allocation parts. This model is formulated by a scenario-based stochastic mixed-integer non-linear programming approach. Our second model focuses on the competition of suppliers based on the price of products with regard to sustainability. In this regard, a Stackelberg game model is developed. Based on this comparison, we can see that the sum of the costs for both levels is lower than the cost without the bi-level approach. However, the computational time for the bi-level approach is more than for the centralized model. This means that the proposed optimization model can better solve our problem to achieve a better solution than the centralized optimization model. However, obtaining this better answer also requires more processing time. To address both optimization models, a hybrid bio-inspired metaheuristic as the hybrid of imperialist competitive algorithm (ICA) and particle swarm optimization (PSO) is utilized. The proposed algorithm is compared with its individuals. All employed optimizers have been tuned by the Taguchi method and validated by an exact solver in small sizes. Numerical results show that striking similarities are observed between the results of the algorithms, but the standard deviations of PSO and ICA–PSO show better behavior. Furthermore, while PSO consumes less time among the metaheuristics, the proposed hybrid metaheuristic named ICA–PSO shows more time computations in all small instances. Finally, the provided results confirm the efficiency and the performance of the proposed framework and the proposed hybrid metaheuristic algorithm.

     

The inverse 1-center problem on trees with variable edge lengths under Chebyshev norm and Hamming distance

This paper addresses the problem of modifying the edge lengths of a tree in minimum total cost such that a prespecified vertex becomes the 1-center of the perturbed tree. This problem is called the inverse 1-center problem on trees. We focus on the problem under Chebyshev norm and Hamming distance. From special properties of the objective functions, we can develop combinatorial algorithms to solve the problem. Precisely, if there does not exist any vertex coinciding with the prespecified vertex during the modification of edge lengths, the problem under Chebyshev norm or bottleneck Hamming distance is solvable in \(O(n\log n)\) time, where \(n+1\) is the number of vertices of the tree. Dropping this condition, the problem can be solved in \(O(n^{2})\) time.     

Capturing the benefits of industry 4.0: a business network perspective

Abstract

This study uses a business network perspective to investigate the industry 4.0 context with the internet of things (IoT) as its enabling technology and product-use data as its core network resource. A three-stage qualitative methodology (interviews, focus group, Delphi-based inquiry) was used to examine the case of an emergent IoT-based business network in the UK road transport industry to examine: (i) how aspects of product use data influence the benefit opportunities the data provide to the different network actors; (ii) how capturing of the benefit opportunities in a network context is impacted by key barriers; and (iii) how network capabilities can overcome these barriers to capture benefits from product-use data. The study, thereby, contributes to an understanding of the industry 4.0 context from a resource dependency theory perspective and provides concrete recommendations for management operating in this context.     

Human resource development competencies as predictors of agricultural extension agents' performance in Yemen

Human resource development (HRD) issue is recognized as a significant factor for survival of organizations and professionals, including those in the sector of agricultural extension. Few empirical studies have examined the influence of HRD competency variables on agricultural extension agents' performance. The authors argue that HRD competency variables such as leadership development, communication, programme planning, programme implementation and programme evaluation could predict agricultural extension agents' performance. Questionnaire data were collected from a sample of 290 extension agents in Yemen to discover if HRD competencies affect the performance of extension agents. Regression analysis shows that three variables – competencies in programme implementation, programme evaluation and programme planning – contributed significantly to the performance of extension agents. These predictors explain 42.2% of the variance in the job performance model.     

Organizational Factors Affecting Individuals to Donate to NPOs in the Turkish Context

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - While more and more people have been forced from their homes by natural disasters, wars, and violence, the citizens of the...     

Remittances,growth and poverty: New evidence from Asian countries

The present study re-examines the effects of remittances on growth of GDP per capita using annual panel data for 24 Asia and Pacific countries. The results generally confirm that remittance flows have been beneficial to economic growth. However, our analysis also shows that the volatility of capital inflows such as remittances and FDI is harmful to economic growth. This means that, while remittances contribute to better economic performance, they are also a source of output shocks. Finally, remittances contribute to poverty reduction – especially through their direct effects. Migration and remittances are thus potentially a valuable complement to broad-based development efforts.     

Zakat as a Poverty Reduction Mechanism Among the Muslim Community: Case Study of Bangladesh,Malaysia, and Indonesia

Poverty reduction remains the most important challenge for policy makers in Islamic communities. The World Bank (2010: Poverty profile in Muslim world, from http://www.worldbank.org ) estimates that approximately 3 billion people are living in poverty and 46 million more people will come under the income level of US$1.25 a day due to the recent global economic meltdown and slow economic growth rates. Thirty‐five percent of these people are Muslims from Islamic countries. The global Muslim community has an essential role to play in addressing the injustice of global poverty through zakat. Zakat is an Islamic faith‐based institution and is being underutilized for poverty reduction in many of these poor Muslim countries. Since zakat constitutes one of the pillars of Islam, it is logical to assume that policy makers among Muslims should pay serious attention to it. However, that is not the case for many Muslim countries and this paper will show that not all Muslim countries are seriously applying zakat in its strategy of combating poverty. This paper will specifically examine the role and effect of zakat in three Muslim countries (Bangladesh, Malaysia and Indonesia) providing the facts of countries that practise zakat in comparison with those that do not.     

Transforming the Local Capacity on Natural Disaster Risk Reduction in Bangladeshi Communities: A Social Work Perspective

Bangladesh has been a severe victim of its various sporadic natural disasters—flood, cyclone and storm surge, flash flood, drought, tornado, riverbank erosion, and landslide. Familial and societal lives and security of people are being seriously disturbed by these natural calamities every year. They also bring deadly damage to the economy and general environment of the country. Natural disasters cannot be pre‐empted at all, but their damage can be mitigated with effective responses. Social work has been a profession notably known for its intervention of people's vulnerability to natural and man‐made disasters. This concept paper discusses relevant intervention strategies and approaches to transform the local capacity of communities on natural disaster risk reduction in light of the social work profession.     

On Using Hellinger Distance in Checking the Validity of Dynamic Approximations

The purpose of this article is to provide validation for the approximate algebraic propagation algorithms to accommodate non-Gaussian dynamic processes. These algorithms have been developed to carry out Bayesian analysis based on conjugate forms and presented with detailed examples of response distributions such as Poisson and Lognormal. The validity of the approximation algorithms can be checked by introducing a metric (Hellinger divergence measure) over the distribution of the states (parameters) and use it to judge the approximation. Theoretical bounds for the efficacy of such procedure are discussed.