Leading from different psychological distances: A construal-level perspective on vision communication,goal setting,and follower motivation

How should leaders construct and communicate their messages to most effectively motivate their employees? We offer an integrative framework to address the diverging and complementary nature of two established approaches to employee motivation: Vision communication and goal setting. Specifically, while vision communication involves formulating relatively abstract, far-reaching, and timeless messages, effective goal setting involves formulating specific, challenging and time-constrained objectives. Building on construal level theory of psychological distance, we argue that the experience of construal fit between the attributes of a message and the attributes of the situation will enhance its motivational effectiveness. We present a framework that addresses when visions and goals achieve construal fit and explains why and how construal fit leads to increased follower motivation. We discuss different approaches to integrating visions and goals, propose directions for future research, and illustrate how the notion of construal fit may be used for explaining key organizational phenomena.     

DEA with streaming data

DEA can be interpreted as a tool for the identification of “frontier outliers” among data points. These are points that are potentially interesting because they exhibit extreme properties in that the values of their attributes, either alone or combined, are at the upper or lower limits of the data set to which they belong. A real challenge for this type of frontier analysis arises when data stream in at high rates and the DEA analysis needs to be performed quickly. This paper extends DEA into this dynamic data environment. The purpose is to propose a formal theoretical framework to handle streaming data and to answer the question of how fast data can be processed using this new framework. Potential applications involving large data sets include auditing, appraisals, fraud detection, and security. In such settings the situation is likely to be dynamic with the data domain constantly changing as new entities arrive in the course of time. New specialized tools to adapt DEA to deal with streaming data will be explored.     

战略聚焦视角下的文化特性与新产品创造力研究

 基于竞争价值框架和战略理论,在新产品开发过程中,企业文化特性与战略聚焦因素的有效适应或协同对新产品创造力有积极的影响作用。企业文化特性是指一组企业成员所共享的价值观、规范、信仰和群体性认知,能够影响并塑造组织成员的认知、动机和能力,因而在新产品研发阶段对企业产生新想法和解决创造性问题的能力均有重要影响。目前相关研究已开始探讨员工所处的企业文化环境对其新颖而有用想法的产生能力(即创造力)的影响。但鲜有研究在企业层面分析企业文化特性与企业战略的交互对新产品创造力的作用机理。        从竞争价值框架和战略聚焦视角出发,深入分析企业不同文化特性与新产品创造力之间的作用关系,建立基于战略聚焦视角的文化特性-创造力匹配模型,并实证检验新产品开发过程中两类企业文化特性对新产品创造力的影响以及战略聚焦变量在这一过程中的调节机理。为了揭示企业文化特性影响新产品创造力的作用机理,在直接检验柔性导向文化和控制导向文化与新产品创造力关系的基础上,深入分析并检验组织内外部战略聚焦变量(长期导向和企业家导向）对上述关系的调节作用。        以209家中国企业为研究对象进行实证研究,结果表明柔性导向文化和控制导向文化均正向促进新产品创造力;企业家导向正向调节柔性导向文化和控制导向文化与新产品创造力之间的关系;而长期导向对柔性导向文化和控制导向文化与新产品创造力之间关系的调节作用是非线性、倒U形的,即在新产品开发过程中,中等强度的长期导向对企业两种类型文化与新产品创造力的促进作用最强。        研究结论为探讨企业文化特性的激励效能提供了新的理论视角,并对企业在新产品开发过程中的战略聚焦规划和创造力管理有重要的实践指导意义。     

Performance evaluation based on multiple attributes with nonparametric frontiers

Performance rating and comparison of a group of entities is frequently based on the values of several attributes. Such evaluations are often complicated by the absence of a natural or obvious way to weight the importance of the individual dimensions of the performance. This paper proposes a framework based on nonparametric frontiers to rate and classify entities described by multiple performance attributes into ‘performers’ and ‘underperformers’. The method is equivalent to Data Envelopment Analysis (DEA) with entities defined only by outputs. In the spirit of DEA, the weights for each attribute are selected to maximize each entity’s performance score. This approach, however, results in a new linear program that is more direct and intuitive than traditional DEA formulations. The model can be easily understood and interpreted by practitioners since it conforms better to the practice of evaluating and comparing performance using standard specifications. We illustrate the model’s use with two examples. The first evaluates the performance of employees. The second is an application in manufacturing where multiple quality attributes are used to assess and compare performance of different manufacturing processes.     

基于证据推理的不确定多属性决策方法

针对基本属性权重的不确定性,以及基本属性与广义属性评价集的不一致性等问题,提出一种基于证据推理的不确定多属性决策方法,将证据推理算法推广到更一般的决策环境中.根据决策矩阵的信息熵客观地获得属性的权系数;而对于基本属性与广义属性评价集不一致的情况,则通过对基本属性分布评价的模糊化及模糊变换,合理地实现到广义分布评价的统一形式;最后应用证据推理算法得到整个方案集的排序.实例结果表明,该方法是可行的、有效的.     

Relational Leadership Theory: Exploring the social processes of leadership and organizing

Relational leadership is a relatively new term in the leadership literature, and because of this, its meaning is open to interpretation. In the present article I describe two perspectives of relational leadership: an entity perspective that focuses on identifying attributes of individuals as they engage in interpersonal relationships, and a relational perspective that views leadership as a process of social construction through which certain understandings of leadership come about and are given privileged ontology. These approaches can be complementary, but their implications for study and practice are quite different. After reviewing leadership research relative to these two perspectives I offer Relational Leadership Theory (RLT) as an overarching framework for the study of leadership as a social influence process through which emergent coordination (e.g., evolving social order) and change (e.g., new approaches, values, attitudes, behaviors, ideologies) are constructed and produced. This framework addresses relationships both as an outcome of investigation (e.g., How are leadership relationships produced?) and a context for action (e.g., How do relational dynamics contribute to structuring?). RLT draws from both entity and relational ontologies and methodologies to more fully explore the relational dynamics of leadership and organizing.     

考虑决策者心理行为的混合型随机多属性决策方法

针对混合型随机多属性决策问题,提出一种考虑决策者心理行为的决策分析方法。在该方法中,首先将具有离散型随机变量、灰色型随机变量和语言型变量形式的属性值规范化到区间内;然后将决策者给出的针对不同时期的属性期望视为参照点,并通过计算方案属性值与参照点的距离构建方案的益损矩阵;进一步地,依据累计前景理论,计算方案在不同属性上的收益和损失价值,并在此基础上,通过集结不同属性和不同时期的方案前景值确定各方案的综合前景值,进而依据得到的综合前景值确定方案排序结果。最后,通过一个算例说明了该方法的有效性和可行性。     

A FRAMEWORK FOR THE SYSTEM DESIGN PROCESS1

Much discussion and writing about “systems” is often superficial, glib, and of a non-operational nature. This paper presents a cohesive framework for the process of system design which is felt to be of operational value in the design and management of systems. The framework's central tenet is that all systems are made up of entities and the relationships among the attributes of those entities; and that in designing systems, two processes are used, inclusion and structuring. Inclusion is concerned with what entities to include in a system and structuring with how their attributes are to be related. The system design process is directed or driven by a set (system) of criteria. Systems must be viewed with a time dimension: evolution will and should take place, both in the systems themselves and, more importantly, in the criteria that drive the design and evolution of those systems. In this framework, all problem solvers can usefully regard themselves as system designers. Presentation of the framework is followed by examples, discussion of the criteria set, system design tools, and some implications for teachers and practitioners.     

社交网络情境下基于同侪影响的产品线规划研究

依托社交网络优化产品线是实现“匹配消费者需求带动产品设计-制造-营销全流程协调发展”的重要途径,尽管已经引起实业界的重点关注,相应的学术研究却十分匮乏。鉴于此,本文基于同侪影响理论与前景理论,结合社交网络情境下消费者的产品需求、偏好及决策,构建涵盖产品线营销层面和设计层面的双层规划模型;然后结合智能手机产品线实例,运用嵌套灰狼算法对该双层规划模型进行求解验证。本研究旨在提出社交网络与产品线规划之间耦合作用的联合优化框架,为面向社交网络的产品线规划提供理论依据。     

A Cascaded Inference Model for Evaluation of the Internal Audit Report*

This paper provides a normative framework for how external auditors should evaluate internal audit (IA) work, with a view to assessing the risk of material misstatement. The central issue facing the external auditor when evaluating IA work is the reliability of IA work. Reliability assessments are structured using the cascaded inference framework from behavioral decision theory, in which attributes of source reliability are explicitly modeled and combined using Bayes' rule in order to determine the inferential value of IA work. Results suggest that the inferential value of an IA report is highly sensitive to internal auditor reporting bias, but relatively insensitive to reporting veracity. Veracity refers to internal auditors' propensity to report truthfully, whereas bias refers to the propensity to misreport findings. Results also indicate that this sensitivity to reporting bias is conditional on the level of internal auditor competence, thus suggesting significant interaction effects between the objectivity and competence factors. Collectively, these findings suggest that the impact of source reliability attributes may be more complex than portrayed in the auditing standards and that recognizing these subtleties may lead to greater efficiency and effectiveness.     

A Theory of Diversity

How can diversity be measured? What does it mean to value biodiversity? Can we assist Noah in constructing his preferences? To address these questions, we propose a multi‐attribute approach under which the diversity of a set of species is the sum of the values of all attributes possessed by some species in the set. We develop the basic intuitions and requirements for a theory of diversity and show that the multi‐attribute approach satisfies them in a flexible yet tractable manner. A natural starting point is to think of the diversity of a set as an aggregate of the pairwise dissimilarities between its elements. The multi‐attribute framework allows one to make this program formally precise. It is shown that the program can be realized if and only if the family of relevant attributes is well‐ordered (“acyclic”). Moreover, there is a unique functional form aggregating dissimilarity into diversity, the length of a minimum spanning tree. Examples are taxonomic hierarchies and lines representing uni‐dimensional qualities. In multi‐dimensional settings, pairwise dissimilarity information among elements is insufficient to determine their diversity. By consequence, the qualitative and quantitative behavior of diversity differs fundamentally.     

挖掘客户潜在需求确定指标重要程度的证据组合方法

在现实中,属性(例如产品的各种指标)的权重常常与特定客户的需求有关,因此这些客户的偏好信息对权重的确定非常重要.这种信息不一定就直接体现在对属性的重视程度上,而可能表现在对一组具体产品的偏好关系上.在对产品的指标评价时还会存在一些无知性.针对这些情况,本文给出一个基于证据理论和目标规划、挖掘客户潜在需求的指标权重估计方法,并结合一个计算示例,给出具体的计算过程.     

A MARKET UTILITY‐BASED MODEL FOR CAPACITY SCHEDULING IN MASS SERVICES

Only a small set of employee scheduling articles have considered an objective of profit or contribution maximization, as opposed to the traditional objective of cost (including opportunity costs) minimization. In this article, we present one such formulation that is a market utility‐based model for planning and scheduling in mass services (MUMS). MUMS is a holistic approach to market‐based service capacity scheduling. The MUMS framework provides the structure for modeling the consequences of aligning competitive priorities and service attributes with an element of the firm's service infrastructure. We developed a new linear programming formulation for the shift‐scheduling problem that uses market share information generated by customer preferences for service attributes. The shift‐scheduling formulation within the framework of MUMS provides a business‐level model that predicts the economic impact of the employee schedule. We illustrated the shift‐scheduling model with empirical data, and then compared its results with models using service standard and productivity standard approaches. The result of the empirical analysis provides further justification for the development of the market‐based approach. Last, we discuss implications of this methodology for future research.     

基于属性的技术评价方法匹配研究

本文从本质出发,对各种评价方法的属性定义了一种规范的描述框架。通过对评价方法属性的分解和属性表的建立,使得不同评价方法间便于进行比较,同时提供了评价方法形成方法库的一种模式。面向对象的属性描述方式为评价方法属性的扩充提供了一种平台。这种基于属性的、规范的、可扩充的评价方法表达形式,为具体评价问题和评价方法之间的匹配提供了解决途径。     

Leader individual differences,situational parameters,and leadership outcomes: A comprehensive review and integration

In this article, we provide a wide-ranging review of recent research on leader individual differences. The review focuses specifically on the explosion of such research in the last decade. The first purpose of this review is to summarize and integrate various conceptual frameworks describing how leader attributes influence leader emergence and leader effectiveness. The second purpose is to provide a comprehensive review of empirical research on this relationship. Also, most prior reviews primarily examined leader personality traits; this review includes a broader array of leader attributes, including cognitive capacities, personality, motives and values, social skills, and knowledge and expertise. The final broad purpose of this paper is to review and integrate situational and contextual parameters into our conceptual framing of leader individual differences. Few, if any, prior reviews have systematically accounted for the critical role of such parameters in cuing, activating, or delimiting the effects of particular leader attributes. We do so in this article.     

Harnessing Diversity and Collective Action in the Top Management Team

Diversity has become an important issue at all levels of the company from the boardroom to the back office. It is increasingly apparent that diversity is vital to productivity, with academic research indicating an important link between diverse top management team (TMT) composition and corporate performance. However, the nature of this link remains elusive, as there is little accessible research that can help top teams to evaluate how diversity impacts on their strategic capacity. This paper seeks to fill this gap by developing a conceptual framework, illustrated with case examples, to explain the relationships between TMT diversity and TMT collective action. As collective action is difficult to attain from top teams that are high in diversity, six practical processes are developed from this framework for establishing and exploiting top team strategic capacity. The paper concludes by outlining the theoretical implications of the framework.

It is the range of skills and attributes acquired through a diversity of experiences and backgrounds that combine to create a cohesive and effective board.¹

     

The Creation of Output and Quality in Services: A Framework to Analyze Information Technology‐Worker Systems

Information technology has profoundly impacted the operations of firms in the service industry and service environments within manufacturing. Two models are introduced that establish a conceptual framework linking firm profit to attributes of the IT‐worker system. The framework considers the impact of IT capabilities (such as functionality and ease‐of‐use) and worker skill as drivers of output volume and quality. The framework contrasts attributes of the IT‐worker systems when services are mass‐produced (flow shop) versus customized (job shop). Mathematical models are introduced to formalize the conceptual framework. Numerical examples are presented that illustrate the types of insights that can be obtained from the models.     

The Impact of Organizational Culture on Time‐Based Manufacturing and Performance

Firms are utilizing an array of manufacturing practices in their quest for survival and success in the marketplace. The implementation of those practices has not always resulted in success stories as the focus had been mostly on technical issues, with little concern for “soft issues.” For example, the enabling role of organizational culture has often been ignored. Using Schein's conceptualization of culture as underlying assumptions, espoused values, and artifacts, we examine a framework that relates culture and manufacturing practices to performance. The underlying assumption of customer orientation is posited to affect espoused values such as beliefs on investing in facilities and equipment to leverage intellectual work and to promote creativity, beliefs on working with others, beliefs on making decisions that are global, beliefs on management control, and beliefs on integrating with suppliers. The espoused values are hypothesized to affect visible attributes of culture (behaviors) such as time‐based manufacturing practices, which firms are employing for competitive advantage. A sample of 224 firms is used for developing research instruments and testing the hypothesized relationships advanced. Results indicate that high levels of customer orientation lead to a set of managerial beliefs that are collaborative and integrative. In turn, certain espoused values support a high level of time‐based manufacturing practice, which leads to high performance.     

Planning for strategic decision support systems

The emergence of Strategic Decision Support Systems has opened up new vistas for the true integration of formal models into the strategic planning process. However, with these new opportunities also come the need to develop planning mechanisms that will permit these sophisticated systems to achieve their potential. The process of strategic planning for Strategic Decision Support Systems that is described in this article serves to cast the organization's overall plans, strategies and strategic attributes into a framework that can be used to develop formal SDSS plans.     

A simulation-based multi-objective optimization framework: A case study on inventory management

We propose a simulation-based solution framework for tackling the multi-objective inventory optimization problem. The goal is to find appropriate settings of reorder point and order quantity to minimize three objective functions simultaneously, which are the expected values of the total inventory cost, the average inventory level, and the frequency of inventory shortage. We develop new algorithms that can exploit statistically valid ranking and selection (R&S) procedures and the desirable mechanics of conventional multi-objective optimization techniques. Two simulation algorithms are proposed to be applied in different scenarios depending on the preference information that is revealed either during or after the actual optimization process. Experimental results are provided to evaluate the efficiency of the developed algorithms and other existing solution frameworks.