Multidimensional quality-of-life measure with an application to Fortune's best cities

The notion of the quality of life is about a finite set of measurable attributes that can be weighted by some metric. The quality of life has subjective as well as objective dimensions. Single dimension measures now are recognized as too narrow to fully capture differences in the quality of life. Based upon data envelopment analysis (DEA), the current paper demonstrates how to develop a multidimensional measure to characterize the quality of life and identify its best-practice frontier which balances work and family life and judges practical comfort. Benchmarks are introduced into DEA models to implicitly reflect tradeoff information on quality-of-life related factors and to incorporate evaluation standards. A method is proposed to determine the unique best quality-of-life scale target. Critical quality-of-life factors are identified in a multidimensional construct. Fortune magazine's choice of the 20 best cities—15 domestic and five international—is investigated.     

Multicriteria framework for selecting a process modelling language

The choice of process modelling language can affect business process management (BPM) since each modelling language shows different features of a given process and may limit the ways in which a process can be described and analysed. However, choosing the appropriate modelling language for process modelling has become a difficult task because of the availability of a large number modelling languages and also due to the lack of guidelines on evaluating, and comparing languages so as to assist in selecting the most appropriate one. This paper proposes a framework for selecting a modelling language in accordance with the purposes of modelling. This framework is based on the semiotic quality framework (SEQUAL) for evaluating process modelling languages and a multicriteria decision aid (MCDA) approach in order to select the most appropriate language for BPM. This study does not attempt to set out new forms of assessment and evaluation criteria, but does attempt to demonstrate how two existing approaches can be combined so as to solve the problem of selection of modelling language. The framework is described in this paper and then demonstrated by means of an example. Finally, the advantages and disadvantages of using SEQUAL and MCDA in an integrated manner are discussed.     

Optimal Designs for Asymmetric Linear Paired Comparisons with a Profile Strength Constraint

Within the linear model framework the problem of determining optimal designs for paired comparisons of alternatives which are described by a set of discrete attributes is considered under the constraint that the alternatives in a pair are only allowed to differ with regard to a certain number of attributes. Whereas in previous treatments of this problem it was assumed that all attributes possess the same number of levels, here the general asymmetric case is discussed. We provide a characterization of optimal designs and demonstrate how this can be used to derive a solution of the design problem for many situations of interest.     

Environmental performance evaluation: A state-level DEA analysis

In recent years, the continuous development of every country's economic activities has generated undesirable impacts on the environment. Common problems are high water and energy consumption rates, jointly with harmful pollution levels. This situation has gained the research community's interest in exploring and analyzing the extent to which initiatives to reduce such environmental problems have succeeded. Therefore, it is relevant to have measures that encompass information on the results obtained by such initiatives. Using the data envelopment analysis (DEA) methodology, it is possible to measure the efficiency of an entity under evaluation, such as an industry, state, or country. DEA also allows one to compare the performance measures of entities operating in similar circumstances and identify which entities are performing best, given the inputs they use and the outputs they produce. This study evaluates different states in Mexico in terms of their environmental performance and provides a perspective on how environmental initiatives can contribute to protecting and preserving the environment. By addressing this problem, best-performers and practices are identified, and valuable insights are gained regarding how each state carries out such initiatives.     

Operationalization,a superfluous concept

This paper discusses a number of issues in the methodology of social and behavioral sciences which concern how concepts are defined and related to observations, how theories are constructed, and how we proceed in actual research. Examples are mainly taken from experimental psychology, and from social psychology, but the problems and answers apply to the whole of behavioral and social sciences. These issues are related to philosophy of science. They are, however, presented from the point of view of a researcher who asks himself how to proceed in actual research, and who is critical about the present status of social and behavioral science. The main point is a pledge for a renewed empiricism. This is close to what can be called logical empiricism but should not be identified with any particular-ism. Some issues raised by critics of logical empiricism are addressed in the final section. The first problem deals with how to clarify concepts in behavioral and social science. This will show an unresolvable circularity in operationalization of theoretical constructs. The position and role of measurement is discussed in relation to the objectives of behavioral and social research. Subsequently, it is pointed out that a clear distinction between empirical concepts and theoretical constructs solves many, if not all of the problems of defining and clarifying concepts, thereby obviating the need for a so-called operationalization. It should, however, be very clear from the beginning that we cannot do without operational definitions of theoretical concepts, and that to some extent we must return to the original spirit of operationism, although in a manner which is different from current practice. An important element of the advocated approach is the definition of the empirical domain of a theory in terms of observational categories. Guttman's facet design can be a useful tool to define domains, especially for non-experimental research.     

Nationalism in Winter Sports Judging and Its Lessons for Organizational Decision Making

This paper exploits nationalistic biases in Olympic winter sports judging to study the problem of designing a decision-making process that uses the input of potentially biased agents. Judges score athletes from their own countries higher than other judges do, and they appear to vary their biases strategically in response to the stakes, the scrutiny given the event, and the degree of subjectivity of the performance aspect being scored. Ski jumping judges display a taste for fairness in that they compensate for the nationalistic biases of other panel members, while figure skating judges appear to engage in vote trading and bloc judging. Career concerns create incentives for judges: biased judges are less likely to be chosen to judge the Olympics in ski jumping but more likely in figure skating; this is consistent with judges being chosen centrally in ski jumping and by national federations in figure skating. The sports truncate extreme scores to different degrees; both ski jumping and, especially, figure skating are shown to truncate too aggressively. Extreme truncation not only discards information, but may also make the vote trading in figure skating easier to implement. These findings have implications for both the current proposals for reforming the judging of figure skating and for designing decision making in organizations more generally.     

Optimal growth models as Economic Planning Tools

Conclusion In the present paper, I have carried out an investigation into the form of models which would be suitable for economy-wide planning. Optimal growth models have usually been constructed in an abstract framework. Therefore, the economies for which optimal growth models would be suitable are not identified. I have shown that, because these models only embody purely physical constraints, they will, in general, only be suitable for totally controlled economies. The conclusion, establishing the general inapplicability of optimal growth models to non-controlled economies, is dependent on the view of economic planning which regards the economic structure, particularly the scope of government policy, as fixed prior to plan construction.The second half of the paper elucidates the nature of the planning process when planners take into account the economic structure of the economy which they are planning. I have deliberately chosen to show the planning process in an abstract context for a simple economy, because the object is not to describe how to plan a particular type of economy, but to describe a methodology of planning. In that methodology, there is a place for optimal growth methods but only after the planners have given utmost consideration to the particular features of the economy they are planning. In using that methodology, one finds that problems must be confronted which are hidden when optimal growth models are formulated in the usual manner. Thus, planning for an infinite horizon may be the planners' preferred method on some basic philosophical grounds but in fact in order to construct an implementable plan they may need to follow the uncontrolled sector and adopt a pragmatic finite horizon approach.This paper is a revised version of a chapter of my Ph.D. thesis at the University of Pennsylvania. I would like to thank my adviser, Don Green, for many helpful comments.     

Environmental management: from ‘fit’ to ‘stretch’

Environmental management is a budding discipline that studies the development and shaping of environmental policy in business. This article discusses what progress has been made in theory building in the field of environmental management, and what priorities should be set for future research. The level of ambition of a company with respect to its environmental performance is seen as the result of the following three variables: the coincidence of increased eco-efficiency and market opportunities; the internal structure and culture of the company (including the influence of a number of important actors in it) and the pressure from the immediate and wider social environment to take environmental measures. Research in the field of environmental management can improve our understanding of the conditions under which companies will strive for higher eco-efficiencies. It is argued that such research must concentrate on the interaction of the three variables mentioned above and on how they affect the actions of companies. © 1998 John Wiley & Sons, Ltd and ERP Environment.     

Screening the impacts of municipal service policy changes

The planning of municipal service delivery systems requires accurate forecasts of demand, and particularly of the effects the quality of service delivery has on demand. A metholology for this problem should meet three criteria, if it is to be useful for municipal planning: it must be low-cost and use generally available data; it must be based on user behavior, so that the effects of policy changes can be correctly attributed; and it must allow testing of the transferability of the results, since this is required for general forecasting use. This paper develops such a methodology, based on econometric analysis of data from a number of service areas within a number of regions, forming a double cross-section. Empirical tests of the methodology were performed for two local government services where the effect of service quality on demand is important: sewer and highway construction, which have been hypothesized to affect the patterns of development within regions; and solid waste collection, where the level of service provided affects how much waste enters the collection system and how much is littered, burned or recycled. The two case studies and other analyses suggest that the methodology is a useful tool for testing whether policy changes have an effect on the demand for service, but not for accurate demand forecasting. Thus, these simple models are relevant for the role of screening the effect of policy changes, but more detailed and localized approaches are necessary for system design.     

The art of crafting a systematic literature review in entrepreneurship research

Systematic literature reviews are an increasingly used review methodology to synthesize the existing body of literature in a field. However, editors complain about a high number of desk rejections because of a lack in quality. Poorly developed review articles are not published because of a perceived lack of contribution to the field. Our article supports authors of standalone papers and graduate students in the Entrepreneurship domain to write contribution-focused systematic reviews e.g. by providing a concrete guideline. Our article analyzes the strengths and weaknesses of a systematic literature review and how they can be overcome. Furthermore, we provide a combined list of highly ranked journals in the Entrepreneurship domain as a basis for quality appraisal. Finally, this article builds a scenario for the future of the systematic literature review methodology and shows how technological improvements have changed this methodology and what can be achieved in the future.

     

Panel design effects on response rates and response quality

To understand changes in individuals' opinions and attitudes, it would be best to collect data through panels. Such panels, however, often cause irritation among respondents, resulting in low response rates and low response quality. We address whether this problem can be alleviated by designing a panel survey in an alternative way. For this purpose, we perform two field studies where we measure the effects of several panel design characteristics on response rates and response quality. These characteristics include the number of waves and the time between subsequent waves, which may be either fixed or random. Our findings suggest that response rates and response quality can be improved significantly by surveying at random time intervals. It is then crucial that panel members are not informed about the dates they will be surveyed, because in this case, respondents are less likely to develop expectations as to when they will be surveyed again. The methodology we put forward can be used to improve the efficiency of a panel study by carefully calibrating the studies' panel design parameters.     

Discounting inflation — a note

The aim of this paper is to clarify the confused issue of the effect of inflation on the discounting procedure for investment appraisal. The standard approach is considered, together with the impact of inflation, and the problem of how to adjust the standard approach to take account of inflation. The point is made that it is usually easiest to estimate expected returns in current prices, in which case the discount rate should reflect the real opportunity cost of capital, to avoid mixing real returns and nominal interest in a manner which leads to the rejection of worthwhile projects. An example is given of how the real rate of interest can be computed from the nominal rate of interest and the rate of inflation, and the difference this makes to discounting a sample project. The paper then illustrates how real rates of interest have frequently been negative over the past decade and how this implies that projects may be acceptable even if the sum of future undiscounted returns is less than the initial outlay. The conclusion drawn is that investors should maximize economic profit defined as the surplus over opportunity cost, which reduces the deterrent of nominally high interest rates, for the maximization of surplus over opportunity cost has the corollary of minimization of opportunity loss.     

Hospital service quality evaluation with IVIF-PROMETHEE and a case study

Measuring satisfaction of patients and understanding their perceptions are important for the hospital management to respond to customers' growing demands for acceptable quality of healthcare services. The main purpose of this paper is to present a methodology that can be used in the healthcare service quality evaluation. IVIF-PROMETHEE method is applied for service quality evaluation based on patients' views in a real-life case study of a public hospital in Istanbul and the results are compared with the results from IVIF-TOPSIS method. Interval Valued Intuitionistic Fuzzy (IVIF) set is considered an appropriate tool because of the complexity and vagueness of the evaluation of healthcare services. The evaluation of the quality level of the healthcare service provides detailed information about the effects of considered criteria as well as creates opportunities in implementing effective procedures to overcome service quality problems via analysing the patients' views. The proposed methodology can be a useful tool for hospital management.     

Learning strategic cooperative behavior in industrial symbiosis: A game‐theoretic approach integrated with agent‐based simulation

This paper investigates the negotiation phase of industrial symbiosis relationships, where companies exchanging wastes for inputs need to develop strategies on how to share the additional costs to operate the industrial symbiosis business. The business behavior is approached as a “coopetition” problem where companies need to cooperate to reduce waste discharge costs and traditional input purchase costs and dive into competition to pay a minimum share of additional costs (i.e., waste treatment, waste transportation, and transaction costs) of operating industrial symbiosis. A noncooperative game‐theoretical model for sharing the additional costs is proposed that highlights the two strategies that companies can adopt aimed at sharing costs: a fair strategy and an opportunistic strategy. Then, an agent‐based model is used to simulate the game iterated over time and investigate how the players can adapt their strategies according to their past experience. Simulation results show that players learn that playing the fair strategy is beneficial in the long period, despite in the short period they can gain more benefit by playing the opportunistic strategy. Findings of the paper are critically important to reduce the business and managerial barriers against the formation of industrial symbiosis networks and to stimulate innovative thinking of company managers to foster the development of the circular economy. The paper proposes theoretical, managerial, and policy implications, which are discussed in detail in a comparative manner between linear and circular economy.     

Methods of measuring the distribution of socio-economic conditions

A metropolitan community was faced with the problem of locating areas of the community in terms of more or less need for leisure-time services. The authors developed a set of methods and techniques to solve this problem. It was noted that these methods differed in some ways from prior efforts of this sort. The advantages of the methods were that they could use readily available data, did not require the use of a computer, and presented a relative level of need that was more than a simple ranking of planning areas. Further, the methods could be used to locate any number of conditions in which one might be interested. In addition to spelling out the details of the original effort, an attempt is made to show how factor analysis could be used as an alternate approach to the first effort. The pros and cons of factor analysis as a substitute method are discussed. The major disadvantage would be if the particular community did not have a large computer available. This is outweighed by the higher levels of accuracy, predictability and comparability provided by factor analysis.     

Hierarchies and Groups in DEA

Conventional applications of data envelopment analysis (DEA) presume the existence of a set of similar decision making units, wherein each unit is evaluated relative to other members of the set. Often, however, the DMUs fall naturally into groupings, giving rise first to the problem of how to view the groups themselves as DMUs, and second to the issue of how to deal with several different ratings for any given DMU when groupings can be formed in different ways. In the present paper we introduce the concept of hierarchical DEA, where efficiency can be viewed at various levels. We provide a means for adjusting the ratings of DMUs at one level to account for the ratings received by the groups (into which these DMUs fall) at a higher level. We also develop models for aggregating different ratings for a DMU arising from different possible groupings. An application of these models to a set of power plants is given.     

How do respondents process stated choice experiments? Attribute consideration under varying information load

The popularity of stated choice (SC) experiments has produced many design strategies in which researchers use increasingly more ‘complex’ choice settings to study choice behaviour. When the amount of information to assess increases, we wonder how an individual handles such information in making a choice. Defining the amount of information as the number of attributes associated with each choice set, we investigate how this information is processed as we vary its ‘complexity’. Four ordered heterogeneous logit models are developed, each for an SC design based on a fixed number of attributes, in which the dependent variable defines the number of attributes that are ignored. We find that the degree to which individuals ignore attributes is influenced by the dimensionality of the SC experiment, the deviation of attribute levels from an experienced reference alternative, the use of ‘adding up’ attributes where feasible, the number of choice sets evaluated, and the personal income of the respondent. The empirical evidence supports the view that individuals appear to adopt a range of ‘coping’ strategies that are consistent with how they process information in real markets, and that aligning ‘choice complexity’ with the amount of information to process is potentially misleading. Relevancy is what matters. Copyright © 2006 John Wiley & Sons, Ltd.     

快速城市化地区县级城市工业发展战略与空间布局研究——以江苏省8个县级市为例

指出工业发展战略与空间布局对工业化、城市化的健康发展有着十分重要的作用,对快速城市化地区县级城市的影响更为突出.如何优化工业空间布局已经成为当前迫切需要解决的问题.在对快速城市化地区县级城市工业化发展阶段进行判断的基础上,分析规划建设中存在的问题,并进一步提出了工业发展战略与空间布局的原则.     

De invloed van de keuze der gewichten op de hoogte van een gewogen indexcijfer

The influence of the choice of the weights on the value of an indexnumber.
Price and quantity indexnumbers are weighted averages of groups of price and quantity ratios and they are convenient instruments to indicate the general tendency of such groups, especially if the number of basic ratios is considerable. The frequent use of indexnumbers is due to the fact that they can often be applied to problems for which, strictly speaking, an indexnumber had to be used derived from the same group of ratios but based on a different set of weights.
Two typical examples of such problems are given.
The use of a set of weights differing from the appropriate one is only justified, however, when the indexnumber is rather insensitive to changes in the set of weights. A simple formula is derived showing that the relative change of an index-number due to a change in the set of weights is equal to the product of the (weighted) coefficient of variation of the basic ratios, the (weighted) standard deviation of the relative changes of the weights and the (weighted) coefficient of correlation of the ratios and of the relative changes. The system of weights used in the calculation of these three factors is the same and is equal to the set of true weights belonging to the problem under consideration.
The practical use of the formula is demonstrated at the problem of index-numbers of costs frequently encountered in the practice of cost accounting.