************* 征-文–启–示 *************
Annalsof Operations Research
特辑: Behavioral Operations Management in SocialNetworks
http://www.editorialmanager.com/anor/
投稿截止日期：2016年3月31日
近十年来，行为运营管理（BOM）的出现为交叉学科领域的研究提供了成功的应用典范。行为运营管理将认知偏差与社会偏好引入了运营管理中（OM），并强调了运营系统中的“人性弱点”。传统的运营管理理论与模型尝试通过设计、管理与改进引发系统的最佳性能。然而，在运营管理理论预测与实际运营实践两者间长期存在很大的可观测差距。于是一项认为是人类的认知偏差与有限理性导致系统误差的理论逐渐浮现。从认知心理学的角度来说，作为在一些实际运营系统中的主要元素比如工厂与供应链，人类总是具有偏向性的、有限理性的且容易受到社会偏好的影响。显然，一个将行为途径的运营管理可以从根本上形成对现有运营系统和对在了解潜在运营系统动因后的改进系统的不同预测。
但是，随着行为运营理论的迅速发展，学者在将认知与社会心理学应用于运营管理时似乎过于谨慎了。大多数出版论著专注于个体的认知水平和研究习惯，比如损失厌恶、公平问题与互惠主义等个人行为特性，对个人决策与系统运作的影响。但诸如社会关系会显著影响个人意图等的个人决策模式和行为在社会环境中的研究依旧缺乏相关文献。实际上，人类已深陷入复杂的社会关系和互动网络中，人的看法与决策过程尤其受到旁人的影响；因此在研究个人决策过程和行为时，将他人影响列入考虑是更为识明智审之举。在很大程度上，运营管理派生领域中，社会心理学的影响关注度匮乏，是源于现存运营管理模型中，描绘人群之间交互社会关系及此对运营系统绩效影响的方法缺陷；因此必定需要引入全新的方法，甚至全新的范式，来克服这些困难。为把握住如此具有科学前景的研究机会，似乎更适合用社会网络和其相关分析方法来开垦这片前景可观的研究领域。
从物理学到社会科学领域中，网络研究具有爆发式的兴趣增长。这项研究将任何系统视为互相联系的主体或者节点的集合。从社会网络的观点来说，社会环境中的人际互动可以被表示为社会网络构建中一类基于关系的途径或法则。通常在社会网络中，主体或节点之间的关系或链接要么是对称的，要么就是不对称的，要么是单向的，要么是双向的，这使资源分配以及信息扩散变得更为复杂。人与人之间的关系直接或间接地链接网络中的成员，并影响议价能力与决策制定。比方说，在开始就有交互联系的网络构建中，拥有不同数量的直接关系、中心节点和外围节点个人，会展现出不同的影响和的行为，由此有不同的选择。网络化社交网络平台的普及，如Facebook、Twitter和微信，让沟通与交互变得更为繁而不烦。个人与组织的行为开始呈现很多新的特性，经济现象也因此显得扑朔迷离。
将社会网络理论引入行为运营管理是不可或缺的。所以，此次特辑的初衷便是要引入社会网络理论，促进和宣传在社会网络背景下不同行为运营管理建模方法的角色与应用，以期获得对行为运营管理和其中难解的“病理学”（比如牛鞭效应，羊群效应、替代性经验和社会公信力等）更深入的理解，为适宜管理措施的改良定义开辟先河。
特辑将专注于，但不仅限于，以下社会网络情况下的研究领域
个人认知偏差模型与应用
社会影响与社会偏好
库存与共同库存
报童模型、牛鞭效应与战略采购
供应链合同与协调
供应链风险管理
信息、知识和技术扩散机制
产品分销与营销战略
多层供应链博弈
资源分配和潜在增益实现
能源战略与环境政策
代理理论与应用
作者指引可浏览
http://www.springer.com/business/operations+research/journal/10479
作者应通过期刊的在线投稿网页，在2016年3月31日之前提交一封附信与原稿。在截止日期之后提交的原稿将可能不被特辑录用，或将在常规期刊中出版。
如果您还未通过Springer的编辑经理网站系统提交稿件，请阅读上述网站的作者指示。请留意留下打算投用特辑的评论，并将文章类型选为“SI: BOM in Social Networks”。
您投递的文章将接受特邀编辑的严格检验，一经录用，将在印刷出版前，单独地在线出版。
谨启
S.I. :BOM in Social Networks特邀编辑部
Annalsof Operations Research
Callfor Papers: AOR Special Issue on “Behavioral Operations Management in SocialNetworks”
By Benesch
The Annals of Operations Research areseeking submissions for a special issue on Behavioral OperationsManagement in Social Networks. This special issue welcomes papers thatintegrate the behavioral characteristics of stakeholders in social networks andoffer fresh insights on operations management. On behalf of all the guesteditors, I am writing this email to invite you to submit your article(s) withinthe scope of the special issue. We would appreciate it if you could share yourresearch idea on this fascinating issue. Please check the following “call forpapers” for details.
************* C A L L-F O R -P A P E R S *************
Annals of Operations Research
Special Issue: Behavioral Operations Management in Social Networks
http://www.editorialmanager.com/anor/
The deadline for submission: March 31, 2016
Over the past decade, the emerging field of BehavioralOperations Management (BOM) has been proved to be a successful application ofinterdisciplinary fields of study. BOM introduces cognitive biases and/orsocial preferences to Operations Management (OM), and places greater emphasison “human foibles” in operations systems. The traditional theory and models ofoperations management attempt to elicit the best performance from systemsregarding aspects of design, management, and improvement. However, a long-observedgap exists between theoretical OM prediction and real-life operationalpractice. A consensus has gradually emerged regarding the notion thatsystematic errors were caught by human’s cognitive biases and boundedrationality. From the perspective of cognitive psychology, human beings, actingas the core element in some practical operations systems such as plant andsupply chain, are always biased, boundedly rational, and readily affected bysocial preferences. Obviously, a behavioral approach to OM can generatefundamentally different predictions regarding the performance of givenoperating systems and improved understanding of the underlying drivers ofoperating systems.
However, with the rapid development of BOM theory,researchers seem overly cautious in applying knowledge of cognitive and socialpsychology to Operations Management. Most published papers focus on theindividual cognitive level and study the manner in which personal behavioraltraits, such as loss aversion, fairness concerns, and reciprocity, affectindividual decision-making and system operations. Study of patterns ofindividuals’ decision-making and behaviors in a social environment, such associal relations significantly affecting individual intentions, is stilllacking in the literature. In fact, human beings are embedded in thick webs ofsocial relations and interaction, and human perception and decision-makingprocesses are notably influenced by others with whom they interact; thus it ismore sensible and rigorous to take others’ influences into account whenstudying individual decision-making processes and behavior. The dearth ofattention devoted to the influence of social psychology on OM derives, to agreat extent, from the weakness of the extant OM modeling methods in depictinginteractive social relations among individuals and their influences on theperformance of operations systems; thus new methods, and even new paradigms,must be introduced to overcome these difficulties. To capture such promisingresearch opportunities, it seems that social networks and the related analysismethodology are more suitable to exploitation of this potentially fruitfulresearch field.
There has been an explosion of interest in networkresearch across the physical and social sciences. This research views anysystem as a set of interrelated players or nodes. From a social networkperspective, human interaction in a social environment can be expressed as akind of relation-based pattern or rule of social network structure. In a socialnetwork, ties or links between players or nodes are usually symmetric orasymmetric, one-sided or two-sided, which makes resource distribution andinformation diffusion more complex. Interpersonal ties link network membersdirectly or indirectly and accordingly affect bargaining power anddecision-making. For example, individuals with different numbers of directties, central nodes, and peripheral nodes in the network structure of aninter-linked star will exhibit different influences, different behaviors, andtherefore different choices.
With the popularity of internet-
based social network platforms, such as Facebook, Twitter and Wechat,communication and interaction become more convenient and more frequent.Behaviors of individuals and organizations display many new characteristics andmake economic phenomena more complicated. The introduction of social networktheory to BOM appears to be a matter of great importance. Therefore, theprimary aim of this special issue is to introduce social network theory topromote and disseminate the roles and applications of various modelingapproaches to BOM in the context of a social network, in order to obtainimproved understanding of behavioral operations management and its puzzling“pathologies” (e.g., the bullwhip effect, the herd effect, vicariousexperiences, and social persuasion), leading to improved identification ofappropriate management interventions.
The special issue will target, but not be limited to, thefollowing fields in the context of social networks:
• Individual cognitive bias modeling and applications
• Social influence and social preferences
• Inventory and jointly inventory
• Newsboy problem, bullwhip effect and strategic procurement
• Supply chain contract and coordination
• Supply chain risk management
• Information, knowledge and innovation diffusion mechanism
• Products diffusion and marketing strategy
• Multi-stage supply chain game
• Resources allocation and potential gains realization
• Energy strategy and environmental policy
• Agency theory and applications
Instructions for authors can be found at:
http://www.springer.com/business/operations+research/journal/10479
Authors should submit a cover letter and a manuscript byMarch 31, 2016, via the Journal’s online submission site. Manuscripts submittedafter the deadline may not be considered for the special issue and may betransferred to a regular issue.
Please see the Author Instructions on the web site if you have not yetsubmitted a paper through Springer’s web-based system, Editorial Manager. Besure to note when leaving a comment that your work is intended for the specialissue and to select the article type “SI: BOM in Social Networks”.
Papers will be subject to a strict review process managed by the Guest Editorsand accepted papers will be published online individually, before printpublication.
Yours sincerely,
Guest Editors of S.I. : BOM in Social Networks,
Annals of Operations Research