Decision‐Analytic Approach for Water Sustainability Definition: A Higher Education Case Study

The purpose of this paper is to describe the development of a multi‐criteria decision analysis approach that can be used to circumscribe the definition of sustainability within an organization or institution with multiple operational divisions. Although our overall definition of sustainability is a process, the George Washington University (GW) definition of water sustainability is articulated through construction of an objective‐value hierarchy representing GW's strategic objectives and articulation of strength of preference among the attributes in that hierarchy. This study used multi‐criteria decision analysis methods, including structured interviews with four individual stakeholders and swing weighting. Three findings are of note. First, our stakeholders' thinking about their objectives was greatly influenced by perceived constraints and mandatory obligations on institutional performance implied by contracts or tradition. Second, in considering the trade‐off weights obtained from the swing‐weighting portion of the value assessment, all stakeholders placed similar emphasis on each of the fundamental objectives. Third, because of the decentralized nature of the university, the process through which the value assessment will be achieved must be transparent and accepted by each of the stakeholders supporting sustainability decisions. This case study illustrates a decision‐analytic sustainability approach that may be applied to large‐scale infrastructure systems, stakeholder engagement and negotiation in sustainability investments or alternatives assessments. Although the commitment to reduce climate impacts has been widespread, there have been fewer publicly announced water initiatives at the university level. At the university level, GW is only one of a handful of universities with a cohesive, visible, water plan. In addition, we demonstrate an approach in which explicit structuring of fundamental sustainability objectives may increase transparency for sustainability definition construction. Copyright © 2014 John Wiley & Sons, Ltd.     

Multi‐criteria minisum facility location problems

This paper deals with the multi‐criteria Weber (minisum) problem. Several new solution concepts are introduced, related to ideas of equilibrium between the different aspects covered by the objectives. Structural results are presented characterizing the proposed solution sets and showing the relationships existing with the efficient sets in the point objective location problem. Also, algorithms to solve this problem for the polyhedral norm case are developed. The proposed approach is more general than previously studied on multi‐criteria location problems and is particularly applicable in the real world when different scenarios must be compared. Copyright © 1999 John Wiley & Sons, Ltd.     

Evolution of multi‐criteria analysis: a scientometric analysis

The field of multi‐criteria analysis has known very important developments during the last 20 years, if one considers the very large amount of activities that it has generated and continues to generate (papers in journals, a dedicated journal, books, meetings, applications, …). Even if multi‐criteria analysis has reached some maturity, its future is subject to questions and debate among its researchers: what is the evolution of the field? What is its structure? Is it integrating new topics? In order to answer such questions at least partially, we have studied multi‐criteria analysis literature by means of the method of associated words (scientometric analysis) and the software ‘Leximappe’. All the abstracts of the papers which are relative to multi‐criteria analysis and are included in the bibliographic ABI‐INFORM database from 1985 to 1996 have been analysed. In this paper, we will present some results of this study. Copyright © 1999 John Wiley & Sons, Ltd.     

A Unified Framework for the Prioritization of Organ Transplant Patients: Analytic Hierarchy Process,Sensitivity and Multifactor Robustness Study

Fair and equitable allocation of donor organs in the USA is a daunting yet necessary task, which can mean the difference between life and death for patients on transplant waiting lists. This paper proposes a multi‐criterion decision‐making model using the analytic hierarchy process to allow for an allocation decision to be made on the basis of urgency, efficiency, benefit and equity. These four perspectives and objectives can be broken down into both quantitative and qualitative measures, which can be easily combined and weighted through group consensus. The proposed model overcomes the limitations of a single type of system, integrates the views of many organ allocation philosophies, improves the decision maker's ability to collaborate, helps justify the decision and reaches the optimal result. In addition, the proposed profile matrix allows decision makers to graphically trade off criteria against each other and to clearly articulate the decision rationale. Our computational study suggests that the proposed model not only satisfactorily serves the objectives of many constituents, but also remains noticeably robust under various criteria‐weight‐change scenarios. It improves stakeholder confidence in the organ allocation procedure, maximizes the usefulness of the organ and enhances welfare to society. Copyright © 2012 John Wiley & Sons, Ltd.     

Combining Value‐focused Thinking and Balanced Scorecard to Improve Decision‐making in Strategic Management

Goal orientation is key to strategic management. In this field, the Balanced Scorecard is one of the most widely used management tools. It structures a company's main objectives from different perspectives based on the strategy of the firm and uses performance indicators to measure the achievement of objectives and strategy. However, its method of creation is not theoretically sound. Value‐focused thinking is a decision‐making philosophy that fits perfectly with Balanced Scorecard creation. It provides methods and techniques for the identification and structuring of objectives that are suitable to systematically derive a scorecard from a means‐ends network. However, such a means‐ends network is often too complex for enduring use in strategic management. By adapting the network's structure to the Balanced Scorecard's layout, the profound and clear set of derived objectives and their measures serve as a reasonable basis for applying methods of multi‐criteria decision‐making in an organization. This paper aimed to outline a procedure that merges the Balanced Scorecard and value‐focused thinking by preserving each concept's strengths while eliminating their weaknesses. A six‐step process was developed theoretically and employed empirically in a case study. This process included (1) identifying objectives; (2) structuring objectives; (3) characterizing clusters of objectives; (4) formulating mission, vision, and strategy; (5) designing the scorecard; and (6) monitoring and adapting to change. On the basis of this approach, a Management Scorecard was produced that enabled strategy development and execution, put forth a clear and comprehensive means‐ends network, and visualized a company's most important objectives and their relationships structured through perspectives roughly following the Balanced Scorecard. It acts as a foundation for research to generalize and compare findings regarding goals of organizations. Our procedure demonstrates how scientific methods, such as value‐focused thinking, can yield benefits to practitioners' instruments, like the Balanced Scorecard, and how management tools can likewise improve scientific methods. Copyright © 2016 John Wiley & Sons, Ltd.     

Individual Goal Orientations,Team Empowerment,and Employee Creative Performance: A Case of Cross‐level Interactions

Intrigued by relationship between team motivational context and individual characteristics in the organizational reality, we developed and tested a cross‐level model to investigate the interactive effects of team empowerment and individual goal orientations on individual creative performance through the mediating mechanism of an individual's creative self‐efficacy. Using multi‐wave multi‐source data from 63 R&D teams in three IT companies, we found that (1) team empowerment, individual learning goal orientation, and individual performance orientation are all positively related to individual creative performance through mediation of creative self‐efficacy; (2) learning orientation and performance approach orientation could both supplement the effects of team empowerment on individual creative self‐efficacy. Our findings point to the importance of individual goal orientation in shaping the effects of team motivation climates and provide insights for both scholars and practitioners. The specific practical implications include but are not limited to (1) individuals with learning and performance approach orientations should be identified during hiring procedures given that they could still thrive in less empowered teams and maintain a relatively high level of creative self‐efficacy and creative outcomes; (2) managers should consider assigning employees who are more learning oriented to more empowering and open‐ended tasks in order to obtain better creative results.     

A parameter analysis method for the weight‐set to satisfy preference orders of alternatives in additive multi‐criteria value models

In the context of the additive multi‐criteria value model, this paper investigates how the set of criteria weights (weight‐set hereafter) can be determined according to the preference orders of alternatives given by the decision maker. A construction method is proposed for the weight‐set for different intervals of β, where β is a differential amount of value between the preference information on two alternatives. The results of this paper are important for sensitivity analysis in multi‐criteria decision making (MCDM) problems and multi‐criteria group decision analysis. Copyright © 2000 John Wiley & Sons, Ltd.     

An Approach to Multi‐Criteria Decision Problems Under Severe Uncertainty

Solving complex decision problems is a demanding task; it requires determining and evaluating the consequences of decision alternatives. To this end, uncertain factors that can only partly be influenced by the decision makers, and their interdependencies need to be considered. Scenarios focus on this part of the decision problem; they enable a systematic exploration of a multitude of possible future developments that are relevant for the decision including external events and decisions made. Scenarios are particularly useful when the problem is pervaded by severe uncertainties that cannot be quantified. For the evaluation of alternatives, multiple objectives and the potentially diverging preferences of the involved actors need to be respected. Multi‐criteria decision analysis aims at structuring the problem, evaluating the alternatives and supporting decision makers pursuing multiple goals. We propose an approach integrating scenarios and multi‐criteria decision analysis that focuses on the robustness of alternatives in complex, dynamic, uncertain and time‐bound situations. In this integrated framework, the scenarios provide the basis for evaluating a set of alternatives. Ideally, the set of scenarios considered captures all possible future developments. To appropriately explore this set, formal or analytical approaches to scenario construction generate a large number of scenarios. This challenges the decision makers' information‐processing capacity. To support them in managing the richness of information, a two‐fold approach that uses selection and aggregation is presented. By using a selection method, the scenarios that are deemed most relevant are identified, and their evaluations are presented in detail to decision makers. This approach is complemented by an aggregation of scenario evaluations on the basis of the decision makers' preferences. We present two approaches to facilitate the preference elicitation process. Copyright © 2013 John Wiley & Sons, Ltd.     

Reduction of pairwise comparisons in decision making via a duality approach

Although pairwise comparisons have been seen by many as an effective and intuitive way for eliciting qualitative data for multi‐criteria decision making problems, a major drawback is that the number of the required comparisons increases quadratically with the number of the entities to be compared. Thus, often even data for medium size decision problems may be impractical to be elicited via pairwise comparisons. The more the comparisons are, the higher is the likelihood that the decision maker will introduce erroneous data. This paper introduces a dual formulation to a given multi‐criteria decision making problem, which can significantly alleviate the previous problems. Some theoretical results establish that this is possible when the number of alternatives is greater than the number of decision criteria plus one. Copyright © 1999 John Wiley & Sons, Ltd.     

Origins,uses of,and relations between goal programming and data envelopment analysis

Origins and uses of ‘goal programming’ and ‘data envelopment analysis’ (DEA) are identified and discussed. The purpose of this paper is not only to review some of the history of these developments, but also to show some of their uses (e.g. in statistical regression formulations) in order to suggest paths for possible further developments. Turning to how the two types of models relate to each other, the ‘additive model’ of DEA is shown to have the same structure as a goal programming model in which only ‘one‐sided deviations’ are permitted. A way for formally relating the two to each other is then provided. However, the objectives are differently oriented because goal programming is directed to future performances as part of the planning function whereas DEA is directed to evaluating past performances as part of the control function of management. Other possible ways of comparing and combining the two approaches are also noted including statistical regressions that utilize goal programming to ensure that the resulting estimates satisfy the multi‐criteria conditions that are often encountered in managerial applications. Both goal programming and DEA originated in actual applications that were successfully addressed. The research was then generalized and published. This leads to what is referred to as an ‘applications‐driven theory’ strategy for research that is also described in this paper. Copyright © 2006 John Wiley & Sons, Ltd.     

University Campus Consultation: Opportunities and Limitations

Consultation on a university campus is an important adjunct mental health service to individual and small-group counseling. It serves as a preventive and an early identification resource for both emotional-social and educational-vocational problems. Interventions with faculty, staff, and campus organizations are made possible with a consultation service. Consultation projects have enhanced support networks for ethnic-minority students and increased the humanization of the campus for all students.     

客户支持对一线服务员工服务绩效的影响——基于自我验证理论的视角

基于自我验证理论, 文章探讨了客户支持能否通过组织自尊的中介作用促进员工服务绩效(角色内服务绩效和主动服务客户行为), 以及员工促进定向和内控的调节作用。针对3时间点的调查得到652名员工和139名主管的配对数据进行分析, 结果显示：(1)客户支持会显著正向影响员工组织自尊, 进而显著影响他们的角色内服务绩效和主动服务客户行为; (2)员工促进定向正向调节客户支持对员工组织自尊的影响; (3)员工内控负向调节客户支持对员工组织自尊的影响。研究结果拓展了员工服务绩效的机制研究, 为组织提升员工服务绩效提供了新的思路。     

Investigating the myth of the relationship between teaching and research in higher education: A review of empirical research

Despite the widespread belief in a positive influence of research on education, the empirical evidence is lacking (Hattie and Marsh 1996). Several authors have questioned the appropriateness of the operationalisation of both aspects of the relation between teaching and research. This article takes a closer look at the research questions in empirical studies on the nexus between teaching and research and examines the used variables and their measurement techniques. The study reveals that the used variables and their operationalisation are diverse as well as limited. There is for example a diversity in the investigated population, the level of analysis (individual faculty, department, institutions), the nature of the institutions investigated or the questionnaires used. The operationalisation of both teaching and research is limited. Student learning or the way research is integrated into teaching are virtually absent and the measurement of research is mostly confined to the quantity of the research output. This calls for a more systematic research agenda in which student learning is investigated along with more fine grained measures of teaching and in which the relation of these two indicators and the research proficiency of faculty are looked at.     

Robustness in the Pareto‐solutions for the multi‐criteria minisum location problem

In this paper, a new trend is introduced into the field of multi‐criteria location problems. We combine the robustness approach using the minmax regret criterion together with Pareto‐optimality. We consider the multi‐criteria squared Euclidean minisum location problem which consists of simultaneously minimizing a number of weighted sum‐distance functions and the set of Pareto‐optimal locations as its solution concept. The Pareto‐optimal solutions for the set of robust locations with respect to the original weighted sum‐distance functions is completely characterized. These Pareto‐optimal solutions have both the properties of stability and non‐domination which are required in robust and multi‐criteria programming. Copyright © 2001 John Wiley & Sons, Ltd.     

Distance‐Based Measures of Specialization and Balance in Multi‐Criteria: A DEA‐Integrated Method

Decision makers pursuing several distinct goals may differ in their behaviour. Some try to achieve all goals simultaneously, whereas others concentrate on only certain ones and are therefore specialized. We present a new method of measuring the specialization degree with respect to a given standard balanced relation of the goals. The measurement is integrated into data envelopment analysis (DEA) methodology, uses a non‐compensative distance measure, permits optional convex polyhedral cones as predefined balance sets and guarantees feasible solutions. Geometrically, it is based on the angle between the balance cone and the ray through the point of investigation. The proposed models can be used to support and complement the usual effectiveness and efficiency analysis in multi‐criteria decision analysis and DEA. They are motivated and illustrated by a simple numerical example, compared with an alternative method recently published and applied to real data from the literature. Copyright © 2014 John Wiley & Sons, Ltd.     

Mutual Funds Efficiency Measurement under Financial and Social Responsibility Criteria

Socially responsible investors pursue financial as well as nonfinancial goals. Whereas the role of financial criteria in investment decisions is well understood, much less is known on the influence of social responsibility considerations. This work seeks to integrate both dimensions within a data envelopment analysis framework consistent with second‐order stochastic dominance efficiency. We compare the performance of conventional versus socially responsible mutual funds on an empirical data set. Our data do not support the conjecture that conventional mutual funds exhibit superior overall performance. Copyright © 2013 John Wiley & Sons, Ltd.     

Mixed Generation Sensitivity Analysis: An Optimal Scenario Study

There are several generating units available to meet the load demand on any given day. The mixed‐integer programme case engages generating units that can be shut down or operated between minimum and maximum output levels within a specific time demand block. An examination of these conditions espouses the utilization of renewable energy technology as a reliable power generation source and its effectiveness and augmentation in a robust, heavily subjugated thermal generation system. The mixed‐integer problem has the predisposition to generate many subproblems during the computation. However, with careful selection of the parameters in the model, the challenges are easily overcome. Hydroelectric energy is significant from an operational standpoint as it requires little or no ramp‐up time, commonly found in many combustion technologies. The essential load‐following capability, peaking capacity and voltage stability attributes render hydroelectric energy as a significant part in ensuring reliable electricity service and in meeting customer needs in a market‐driven industry. When this renewable resource is combined with the thermal generation, an improved reliability function is apparent. Yet, in order to minimize the environmental effects inherent in this type of energy resource, the renewable power supply is expected to produce an effectual, consistent output. The integration of renewable generation within the electrical system entails intricate analysis of the transmission line upgrades throughout the system. These upgrades are designed to relieve congestion, improve reliability and provide voltage support by thoroughly evaluating the alternatives to accommodate the new expansion efforts. This paper examines the system integration of renewable generators, via simulated studies, in the context of electrical operations from the hydroelectric generation perspective. Copyright © 2014 John Wiley & Sons, Ltd.     

Weekly work engagement and performance: A study among starting teachers

This study among 54 Dutch teachers tested a model of weekly work engagement. On the basis of theories about the motivational potential of job resources, we predicted that teachers' weekly job resources are positively related to their week‐levels of work engagement, and that week‐level work engagement is predictive of week‐level performance. In addition, we hypothesized that momentary work engagement has a positive, lagged effect on next week's job resources. Teachers were asked to fill in a weekly questionnaire every Friday during 5 consecutive weeks. Results of multi‐level analyses largely confirmed our hypotheses, by showing that week‐levels of autonomy, exchange with the supervisor, and opportunities for development (but not social support) were positively related to weekly engagement, which, in turn, was positively related to weekly job performance. Moreover, momentary work engagement was positively related to job resources in the subsequent week. These findings show how intra‐individual variability in employees' experiences at work can explain weekly job performance.     

Evaluation of a participatory,competency‐based model of staff training in a community habilitative setting

This study evaluated a participatory model of staff training within a community habilitative setting for adults with developmental disabilities. The objectives were to formulate an approach to training that was not time intensive, included multiple instructional methods, and incorporated all levels of staff involvement. Senior administrative, middle‐level supervisory, and direct‐care personnel comprised a committee that designed and implemented a training program that targeted performance and verbal report competencies required by ‘on‐line’ staff. Training consisted of corrective feedback, modeling, rehearsal, and practice procedures that were carried out with three individuals in a multiple baseline design across sets of target competencies. The training program was effective in establishing staff competencies although individual learning effects were revealed. The implications of these findings for the design of staff training programs within human service agencies are discussed. Copyright © 2001 John Wiley & Sons, Ltd.