An exact algorithm for the multicriteria ordered clustering problem

In the context of multicriteria decision aid, we address the problem of regrouping alternatives into completely ordered categories based on valued preference degrees. We assume that the number of groups is fixed a priori. This will be referred to as the multicriteria ordered clustering problem. The model is based on the definition of an inconsistency matrix and only uses the ordinal properties of the pairwise preference relations. An exact algorithm is proposed to find the ordered partition and is applied as illustration to the Human Development Index.     

Allocating a fixed cost based on data envelopment analysis and satisfaction degree

This paper uses the Data Envelopment Analysis (DEA) technique to solve the problem of allocating a fixed cost across a set of comparable decision making units (DMUs) in a fair way. It first investigates the effect of the fixed cost on each DMU and on the collection of DMUs. Next we prove that there exist some cost allocations which can make each DMU and the collection of DMUs efficient. We show that such a cost allocation is unique and equivalent to the proportional sharing method if the fixed cost allocation problem is a one-dimensional case. In a multidimensional case, the fixed cost allocations may not be unique. This paper defines the concept of satisfaction degree, and proposes a maxmin model and a corresponding algorithm to generate a unique fixed cost allocation. Finally, the proposed approach has been applied to a data set from prior literature.     

Examining the Antecedents and Consequences of CIO Strategic Decision‐Making Authority: An Empirical Study*

Despite the strategic importance of information technology (IT) to contemporary firms, chief information officers (CIO) often still have varying degrees of strategic decision‐making authority. In this study, we apply the theory of managerial discretion to define CIO strategic decision‐making authority and argue that the CIO's level of strategic decision‐making authority directly influences IT's contribution to organization performance. We also draw on the power and politics perspective in the strategic decision‐making literature to identify the direct antecedents to the CIO's strategic decision‐making authority. A theoretical model is presented and empirically tested using survey data collected from a cross‐industry sample of 174 matched pairs of CIOs and top business executives through structural equation modeling. The results suggest that organizational climate, organizational support for IT, the CIO's structural power, the CIO's level of strategic effectiveness, and a strong partnership between the CIO and top management team directly influence the CIO's level of strategic decision‐making authority within the organization. The results also suggest that the CIO's strategic decision‐making authority in the organization directly influences the contribution of IT to firm performance and that effective CIOs have a greater influence on IT's contribution when provided with strategic decision‐making authority.     

Data Envelopment Analysis for Managerial Control and Diagnosis*

Data envelopment analysis (DEA) is a linear programming-based technique that converts multiple input and output measures into a single comprehensive measure of productive efficiency. This is accomplished via the construction of an empirically based production frontier and by the identification of peer groups. Each unit is evaluated by comparison against a composite unit that is constructed as a convex combination of other units in its peer group. DEA has now been applied in a variety of managerial contexts. In this paper we draw on theories of decision making, measurement and control, the mathematical properties of DEA, prior reported applications, and our own experience, to assess the potential of DEA as a general management tool. We first make the distinction between managerial diagnosis and control. We show how measurement requirements differ for these two managerial decision contexts, and argue that DEA has the potential to provide support in each context. Measurement and decision support criteria for each activity are then developed by reference to the literature on diagnosis and control. Based on its mathematical definition and properties, the relevant attributes of DEA are then derived. The technique is evaluated in each capacity by comparison to the appropriate set of criteria. This evaluation is supported with evidence from our experience with DEA in a large public-sector organization. We argue that the structural properties of DEA, critical managerial choices in its application, and situationally specific factors, interact to determine the strengths and limitations of DEA in each decision context. Implications for research and practice are discussed.     

Some Extensions of Domain Criteria in Decision Making under Uncertainty*

This paper examines some approaches to decision problems under uncertainty. Starr's [29] domain criterion is presented and modified to take into account different philosophies concerning the desirability of winning versus the importance of avoiding losses. The concept of expected value of distribution information is defined and its computation is illustrated with a numerical example. Target values are then introduced into the model and a parametric procedure is used to maximize the chances of achieving a certain level of the given objective. Finally, we show how the concepts developed in this paper might provide further insight into some decision situations reported in the literature.     

An Olympic‐sized Challenge: Effect of Organizational Pathology on Maintaining and Repairing Organizational Legitimacy in Sports Governing Bodies

Private organizations increasingly wield public authority, with substantial impact on the lives of individual persons. Such authority is often paired with enhanced public scrutiny and decreased trust in the relevant organization, leading to a loss of legitimacy. This paper uses sports governing bodies to contribute to the literature on governance by developing theory on the interaction between organizational legitimacy and pathological internal structures. It takes a nuanced view of legitimacy and extends a model of organizational pathology. While primarily conceptual, the paper uses the well‐documented cases of the International Olympic Committee and, to a lesser extent, FIFA to illustrate how organizational pathology can not only undermine an organization's legitimacy, but can also interfere with its ability to perceive a path to legitimacy repair, even when it recognizes the necessity of doing so. The paper concludes with recommendations for practice and suggestions for future research looking beyond sports governing bodies.     

Integrating performance and risk aspects of supply chain design processes

Abstract

Supply chain design is a complex and relatively poorly structured process, involving choosing many decisional parameters and it usually requires consideration of numerous sources of uncertainty. Many conventional processes of supply chain design involve taking a deterministic approach, using point estimates, on important measures of supply chain effectiveness such as cost, quality, delivery reliability and service levels. Supply chain disruptions are often separately considered as risks, both in the research literature and in practice, meaning that a purely traditional risk management and risk minimization approach is taken. We have developed and applied an approach that combines the intellect and experience of the supply chain designer with the power of evaluation provided by a Monte Carlo simulation model, which uses decision analysis techniques to explicitly incorporate the full spectrum of uncertain quantities across the set of alternative supply chain designs being considered. After defining and setting out the general decision variables and uncertainty factors for 16 distinct supply chain design decision categories, we then apply that approach to combine the decision-makers’ heuristics with the probabilistic modeling approach, iteratively, to achieve the best of both elements of such an approach. This novel approach to fully integrating performance and risk elements of supply chain designs is then illustrated with a case study. Finally, we call for further developmental research and field work to refine this approach.     

Experience,Service Operations Strategy,and Services as Destinations: Foundations and Exploratory Investigation

This paper explores the customer experience paradigm as it pertains to service operations strategy and design. First, we operationally define and discuss the concept of customer experience. In this context, we propose a reframing of the strategic role of operations strategy as one of choreographing experience‐centric services. We then introduce the concept of services as destinations as an emerging business model for classifying experiential service strategies. Our conceptual typology of experience‐based strategies uses two dimensions: (1) the depth of use of experience as a source of value creation, ranging from brand experience to the services as a destinations business model, and (2) the degree of integration of experience internally within the firm. Using this conceptual typology, we develop five propositions and use multiple cases to illustrate firms' use of these experience strategies. Laying the groundwork for future research, we highlight insights from the qualitative, multiple‐case data as they pertain to service operations strategy and the business model that employs services as destinations. A number of questions for further research are suggested.     

Centralized resource allocation BCC models

In two recent papers, Lozano and Villa [Centralized resource allocation using data envelopment analysis. Journal of Productivity Analysis 2004;22:143–61. [1]] and Lozano et al. [Centralized target setting for regional recycling operations using DEA. OMEGA 2004;32:101–10. [2]] introduce the concept of “centralized” data envelopment analysis (DEA) models, which aim at optimizing the combined resource consumption by all units in an organization rather than considering the consumption by each unit separately. This is particularly relevant for situations where some variables are controlled by a central authority (e.g. Head Office) rather than individual unit managers. In this paper we reconsider one of the centralized models proposed by the above-mentioned authors and suggest modifying it to only consider adjustments of previously inefficient units. We show how this new model formulation relate to a standard DEA model, namely as the analysis of the mean inefficient point. We also provide a procedure that can be used to generate alternative optimal solutions, enabling a decision maker to search through alternate solution possibilities in order to select the preferred one. We then extend the model to incorporate non-transferable as well as strictly non-discretionary variables and illustrate the models using an empirical example of a public service organization.     

Putting the “psychic” Back in Psychic Distance: Awareness,Perceptions, and Understanding as Dimensions of Psychic Distance

Unlike the IB literature whose emphasis within the term ‘psychic distance’ has been more on “distance” and less on “psychic,” our starting point is all “psychic” and no “distance,” assuming distance is defined as the difference between two countries. We propose that psychic distance be centered on the firm's managers and explain how their cognitive limitations, perceptions, heuristics, and experiences interact with a foreign environment to influence their decision making. We replace the conventional definition of distance with the cognitive dimensions of managerial awareness, perceptions, and understanding. Awareness captures the manager's consciousness of foreign context elements relevant to the firm's decision, perception is the manager's interpretation of the extent of these relevant environmental elements, and a manager's understanding captures the relationships among these context elements and the firm's decision. We argue that a multidimensional psychic distance construct is necessary as many of distance's problems are due to the illusion it promises of capturing a manager's perception of a complex foreign environment in a single number. Our approach eliminates distance's problems of symmetry and linearity. It also eliminates the constraint that distance is only associated with negative outcomes. After explaining the theoretical value of awareness, perception, and understanding by developing propositions predicting context traps, we present our operationalization of psychic distance.     

Toward a resilient complex adaptive system view of business models

This paper employs the theory of resilient complex adaptive systems (RCAS) to offer a versatile and universal foundation for the concept of a business model that facilitates connections between prior works while enabling future exploration with a common language. The proposed business model construct is developed by first exploring the field of systems to highlight how the concept of an RCAS can be employed to provide a more robust conceptualization of a business model than previous constructs. A thematic analysis of the literature is then conducted to translate the fundamental requirements of an RCAS into the business model context. This system view is inherently abstraction tolerant and provides a foundation for both academic research and practical applications. Specifically, it addresses two key gaps in the business model literature. First, the comprehensive nature of the system model naturally calls out important aspects of business models that have been largely ignored in the literature. Second, the construct provides a comprehensive means to connect the work of business model scholars and practitioners outlined in more than 150 studied articles, highlighting how each earlier research effort has employed a construct that is actually part of a grander whole.     

Leading a high-commitment high-performance organization

This article conducts a thorough review of the extensive literature on executive leadership. It provides a definition for the concept of superior executive leadership and then presents a model explaining the key roles and attributes required to perform effectively in top management ranks. The article then discusses the implications of this model for senior executives and describes how it can be used to assess the quality of executive performance.     

REPETITIVE LOTS: FLOW-TIME REDUCTIONS THROUGH SEQUENCING AND DYNAMIC BATCH SIZING

This paper presents a new integrative concept for job sequencing, dispatching, and lot sizing. The interrelation between these procedures and their impact on flow-time performance is examined in a capacitated production environment. Generally, lot-sizing decisions are made without regard to shop conditions and do not consider their impact on job sequencing procedures. The repetitive lots (RL) concept (developed and tested in this paper) attempts to integrate these decision processes. RL uses a number of features which have not been considered jointly in either the lot-sizing or job-dispatching/sequencing literature. These include operation batch sizes which vary by operation, transfer of work within the shop in quantities less than operation batch size, and the use of overlapped operations. A simulation model is used to analyze flow-time characteristics in a hypothetical production system. Traditional measures of flow-time performance are compared to a set of nontraditional measures which capture the interaction between lot sizing and the sequencing procedure used.     

Fuzzy multi-attribute decision-making for evaluating manufacturing flexibility

Evaluation of manufacturing flexibility in operations management is important to determine the competitiveness of manufacturing system, and is being increasing discussed in the literature on manufacturing system. The objective of this research is to develop a multi-attribute decision-making model based on fuzzy set theory to improving the manufacturing flexibility evaluation process. Since most information available in this stage is not numerical, fuzzy linguistic assessment is used to represent the performance rating of all flexibility metrics under flexibility dimensions and importance grade of all flexibility dimensions. This paper proposes a modified LOWA operator, which uses the maximum entropy weights, and uses it to direct computation on linguistic terms. The developed model evaluates the degree of manufacturing flexibility that can assist decision-makers, when making capital investment decisions and measuring performance, in finding the need for improving manufacturing flexibility, and in determining the dimensions of flexibility as the best directions to improvement. Examples using a case study of leading Taiwan firm in the bicycle industry are used to illustrate the concept developed. In addition, sensitivity analysis can be performed to examine the solution reasonability.     

基于交叉评价策略的DEA全局协调相对效率排序模型

在DEA(数据包络分析)研究领域,建构在交叉效率概念基础上的现有决策单元排序方法仅以定义的方式给出了用于决策单元排序的交叉效率评价值。对于这种方法构建方式,分别基于管理学的效率概念和多属性决策理论,分析指出其中的交叉效率评价值从本质上讲既与效率的管理学概念不符,也与决策单元的优劣不存在理性逻辑联系。为克服现有决策单元排序方法所存在的上述问题,基于交叉评价策略和效率的管理学概念内涵给出了DEA全局协调相对效率的新概念,在此基础上利用优化理论给出了可以用于决策单元优劣排序的DEA全局协调相对效率测度模型,并通过理论分析和数值案例验证解释了该模型相对于现有决策单元排序方法所拥有的比较优势。     

What Do We Mean by Performativity in Organizational and Management Theory? The Uses and Abuses of Performativity

John Austin introduced the formulation ‘performative utterance’ in his 1962 book How to Do Things with Words. This term and the related concept of performativity have subsequently been interpreted in numerous ways by social scientists and philosophers such as Lyotard, Butler, Callon and Barad, leading to the coexistence of several foundational perspectives on performativity. This paper reviews and evaluates critically how organization and management theory (OMT) scholars have used these perspectives, and how the power of performativity has, or has not, stimulated new theory‐building. In performing a historical and critical review of performativity in OMT, the authors’ analysis reveals the uses, abuses and under‐uses of the concept by OMT scholars. It also reveals the lack of both organizational conceptualizations of performativity and analysis of how performativity is organized. Ultimately, the authors’ aim is to provoke a ‘performative turn’ in OMT by unleashing the power of the performativity concept to generate new and stronger organizational theories.     

A Framework for the Analysis of Error in Conjunctive,Multi-Criteria,Satisficing Decision Processes*

This paper examines the impact of certain types of error on ad hoc, unstructured decision making that incorporates a satisficing strategy in a multi-criteria context using the conjunctive rule. The impacts of error in evaluation and of error in minimal or satisficing levels are systematically modelled for each of the decision criteria. Error functions, analytical expressions, and procedures are developed to obtain information such as the likelihood of correct decision making in the presence of evaluation and minimal criteria level error. These are applied to a specific research design, which is then analyzed. This highlights certain features of decision making in a satisficing context, such as the importance of keeping the number of decision criteria to a minimum. The results yield various insights, some of which confirm information obtained from previous analyses. A major advantage of the framework presented is that it can provide quantitative measurements which support ideas previously couched in qualitative terms only. Although the framework is applied in the context of decision making that uses the conjunctive rule in the case of multiple criteria, other satisficing strategies can be accommodated as well.     

Do Business Leaders Have Role‐Model Obligations to Be Good Political Actors?

This article raises an issue about corporate political activity that is different from those typically addressed by business ethicists. It examines the role‐model status and obligations of the business leaders who direct such activity. This approach has two potential benefits. First, since ethicists often appeal to role‐model obligations and many are concerned about corporate political activity, business ethics literature would benefit from expanding the examination of role‐model status and obligations to encompass the business leaders who direct political activity. Second, it will help ethicists determine what we should demand from business leaders who direct such activity. This is important given the U.S. Supreme Court's Citizens United decision in 2010 that guarantees corporations the free‐speech right to make political expenditures in support of political causes. I seek to demonstrate that we should hold business leaders morally accountable for how they direct political activity because of their role‐model status that arises from their greater fame, authority, or power than ordinary persons possess.     

Using Expert Judgments to Explore Robust Alternatives for Forest Management under Climate Change

We develop and apply a judgment‐based approach to selecting robust alternatives, which are defined here as reasonably likely to achieve objectives, over a range of uncertainties. The intent is to develop an approach that is more practical in terms of data and analysis requirements than current approaches, informed by the literature and experience with probability elicitation and judgmental forecasting. The context involves decisions about managing forest lands that have been severely affected by mountain pine beetles in British Columbia, a pest infestation that is climate‐exacerbated. A forest management decision was developed as the basis for the context, objectives, and alternatives for land management actions, to frame and condition the judgments. A wide range of climate forecasts, taken to represent the 10–90% levels on cumulative distributions for future climate, were developed to condition judgments. An elicitation instrument was developed, tested, and revised to serve as the basis for eliciting probabilistic three‐point distributions regarding the performance of selected alternatives, over a set of relevant objectives, in the short and long term. The elicitations were conducted in a workshop comprising 14 regional forest management specialists. We employed the concept of stochastic dominance to help identify robust alternatives. We used extensive sensitivity analysis to explore the patterns in the judgments, and also considered the preferred alternatives for each individual expert. The results show that two alternatives that are more flexible than the current policies are judged more likely to perform better than the current alternatives on average in terms of stochastic dominance. The results suggest judgmental approaches to robust decision making deserve greater attention and testing.     

Assigning machines to incomparable maintenance strategies with ELECTRE-SORT

The increasing demand on productivity and quality requires machines to be constantly available for production. It is therefore crucial to develop an adequate maintenance programme. To facilitate this, several criteria need to be considered, such as: downtime, maintenance frequency, spare parts costs, bottleneck impacts, etc. In the literature, a strategy is selected for each machine with a multi-criteria decision choice method. However, before making an informed decision, each strategy needs to be tested on each machine and then their performances evaluated with a multicriteria decision method. This is time-consuming, inefficient and often unfeasible. As machines׳ performances are usually systematically collected by industries, a much more practical approach is to assign machines to a maintenance strategy. This is referred to as a sorting problem. However, this problem cannot be solved by existing multi-criteria sorting methods because maintenance strategies cannot always be completely ordered: incomparable strategies exist. Recently, a Decision Making Grid was proposed to allocate machines to incomparable strategies. However, this technique can only be applied to problems with two criteria. In this paper, we have developed ELECTRE-SORT, a new sorting method that is able to consider an unlimited number of criteria in order to assign machines to incomparable strategies. A case study illustrates that ELECTRE-SORT provides more precise and flexible maintenance strategies than the Decision Making Grid.