国有饭店管理层收购的实证分析--以浙江开元旅业集团为例

本文在分析MBO对国有饭店改革借鉴意义的基础上,通过浙江开元旅业集团MBO的案例分析,指出MBO是饭店业国有资本从竞争性领域中退出的重要手段和新突破,但在实践中需要规范,加强监管,防止创新过程中出现新问题.     

Productivity measurement in a large organization with multi-performance objectives: A case study

A model to measure productivity of a multi-performance objective system based on the concept of Management by Objectives (MBO) and systems theory is presented. The multi-attribute utility theory and “goal programming” are applied to evaluate the performance objectives. The approach, termed as the PO–P approach to measure productivity, provides a methodology to determine the productivity index of the plant considering it as a system and it is useful for monitoring and control of performance. Application of the approach is illustrated with a case study.     

MBO and goal directedness in a hospital context.

In this article, we examine the attempt of two hospitals to implement management by objectives (MBO) as a means of improving organizational planning and control. Our conclusion is that, as a goal-directed form of management technology, MBO may lead to dysfunctional decision making at the institutional level within organizations, especially those facing complex, dynamic environments. However, if viewed as a philosophy of management administered at the sub-unit level, MBO may serve as a catalytic agent for encouraging decentralized decision making and performance evaluation.     

Improving MBO

This article discusses the use of applied behavior analysis procedures to improve the effectiveness of Management by Objectives (MBO) programs utilized in organizational settings. A review of past MBO research using objective outcome measures as dependent variables is presented. Applied behavior analysis procedures and behavioral objective settings are discussed in terms of their contributing value to MBO programs.     

A clarification of the goal setting and appraisal processes in MBO

Under the guise of Management by Objectives, "goal setting" and "performance appraisal" have assumed many different shapes and purposes. To clarify the concept of MBO, this review examines the writings of leading MBO experts, extracts those elements common to their respective definitions of goal setting and performance appraisal, and joins them into a single definition of MBO.     

A view of MBO in today's management environment

The evolution of management practice would appear to have been conditioned by the successive embraces of a whole range of management movements—starting with the scientific management movement of F W Taylor through to the social science movement which is prominent today. In the 1960's the one that caught the imagination of many managers was the management by objectives movement. A characteristic of all of these movements is that they rarely seem able to sustain the promise of their initial impact because they are essentially bosses' movements rather than popular movements. The ideology of MBO does however come close to that of a genuine social movement if only it is interpreted and applied correctly. The convergence of MBO and the Organisation Development movement gives promise that together they will be seen as an acceptable response to the changing expectations and values of the participants in today's large and complex businesses.     

MBO: The fad that changed management

Management by Objectives was introduced just over 30 years ago by Peter Drucker. It has been one of the most widely written business topics but, in spite of this, there has been a continuing controversy about the meaning of MBO and whether it has been of value. The author argues that most of the problems have been due to the lack of a generally accepted definition. A new and comprehensive definition, based on Peter Drucker's original work on the subject, is presented. The author believes that this definition will help organizations use MBO to increase productivity, improve quality, lower costs, make faster decisions and serve customers better.     

A look at major planning methods: development, implementation, strengths and limitations

The purpose of this paper is to prepare an overview of planning as it is carried out in an organizational setting. The format utilized will be to examine the planning process in the context of three of the most popular planning models; management by objectives (MBO), program evaluation and review technique (PERT), and planning— programming—budgeting system (PPBS). Each of these models will be discussed in terms of the reasons for its development, the mechanics of implementing the model, the strengths of the model, and its basic limitations.     

Corporate planning and management by objectives

Management by Objectives seeks to integrate the company's objectives for profit and growth with the personal goals and satisfaction of managers. The system requires a review of company objectives and an attempt to translate these into key objectives and performance standards to which individual managers are committed. MBO dependes for its success on the existence of a company environment in which the individual can grow and provides a basis for harnessing the human resources of the organization in the achievement of company objectives.     

Setting operational goals for corporate social responsibility

In this article the author argues that more formality in social responsibility planning efforts is a concept which is extremely pertinent in today's conditions. Rewards will accrue to the organization that can move beyond aesthetic objectives and achieve operationality in social responsibility goal setting. This requires, basically, the application of techniques that have proved to be successful in MBO programs. By translating broadly stated social objectives into goals that are clear, concise, time related and cost related, management will inject an increased measure of integrity into its planning process, improve social responsibility programs, assure future successes in the social performance arena, facilitate the appraisal of management personnel, and enhance the organization's credibility with its multiple publics. Positive benefits will flow to the organization, its immediate publics, and to the society at large as a consequence of operational planning methods as described herein.     

A Framework for Estimating the Adverse Health Effects of Contamination Events in Water Distribution Systems and its Application

Intentional or accidental releases of contaminants into a water distribution system (WDS) have the potential to cause significant adverse health effects among individuals consuming water from the system. A flexible analysis framework is presented here for estimating the magnitude of such potential effects and is applied using network models for 12 actual WDSs of varying sizes. Upper bounds are developed for the magnitude of adverse effects of contamination events in WDSs and evaluated using results from the 12 systems. These bounds can be applied in cases in which little system‐specific information is available. The combination of a detailed, network‐specific approach and a bounding approach allows consequence assessments to be performed for systems for which varying amounts of information are available and addresses important needs of individual utilities as well as regional or national assessments. The approach used in the analysis framework allows contaminant injections at any or all network nodes and uses models that (1) account for contaminant transport in the systems, including contaminant decay, and (2) provide estimates of ingested contaminant doses for the exposed population. The approach can be easily modified as better transport or exposure models become available. The methods presented here provide the ability to quantify or bound potential adverse effects of contamination events for a wide variety of possible contaminants and WDSs, including systems without a network model.     

经济批量排产问题的一种排产方法

针对经济批量排产问题假定生产可以在库存降为0之前开始,并且提出新的算法求产品的生产顺序。结果表明,该排产方法成本要低于其他2种常用的经济批量排产问题的方法,并且给出了算法的时间复杂性。     

Guidelines for contingency approach to planning

In an earlier article the author discussed the contingency approach to planning as a flexible managerial tool making it possible to find a good fit between the planning process and the organization. In the present article the contingency approach is applied to the product life cycle to show how the different steps in the planning process can be varied as the situation changes. The contingency approach to planning can be used in a similar fashion for a product line, a product division, or the entire organization.     

Parametric branch and bound

The paper describes a procedure for mixed integer programming that allows branches to be imposed ‘by degrees’, which can subsequently be revised or weeded out according to their relative influence. It is an adaptive approach in which the branch and bound tree can be manipulated and restructured. The approach also yields measures of the costs of imposing the branches that lead to integer solutions, thus providing a built-in form of sensitivity analysis for evaluating the effect of integer restrictions.     

An Evaluation of Risk Estimation Procedures for Mixtures of Carcinogens

The estimation of health risks from exposure to a mixture of chemical carcinogens is generally based on the combination of information from several available single compound studies. The current practice of directly summing the upper bound risk estimates of individual carcinogenic components as an upper bound on the total risk of a mixture is known to be generally too conservative. Gaylor and Chen (1996, Risk Analysis) proposed a simple procedure to compute an upper bound on the total risk using only the upper confidence limits and central risk estimates of individual carcinogens. The Gaylor-Chen procedure was derived based on an underlying assumption of the normality for the distributions of individual risk estimates. In this paper we evaluated the Gaylor-Chen approach in terms of the coverage probability. The performance of the Gaylor-Chen approach in terms the coverages of the upper confidence limits on the true risks of individual carcinogens. In general, if the coverage probabilities for the individual carcinogens are all approximately equal to the nominal level, then the Gaylor-Chen approach should perform well. However, the Gaylor-Chen approach can be conservative or anti-conservative if some or all individual upper confidence limit estimates are conservative or anti-conservative.     

Characterizing the Noncancer Toxicity of Mixtures Using Concepts from the TTC and Quantitative Models of Uncertainty in Mixture Toxicity

This article explores the use of an approach for setting default values for the noncancer toxicity, developed as part of the Threshold of Toxicological Concern (TTC), for the evaluation of the chronic noncarcinogenic effects of certain chemical mixtures. Individuals are exposed to many mixtures where there are little or no toxicological data on some or all of the mixture components. The approach developed in the TTC can provide a basis for conservative estimates of the toxicity of the mixture components when compound-specific data are not available. The application of this approach to multiple chemicals in a mixture, however, has implications for the statistical assumptions made in developing component-based estimates of mixtures. Specifically, conservative assumptions that are appropriate for one compound may become overly conservative when applied to all components of a mixture. This overestimation can be investigated by modeling the uncertainty in toxicity standards. In this article the approach is applied to both hypothetical and actual examples of chemical mixtures and the potential for overestimation is investigated. The results indicate that the use of the approach leads to conservative estimates of mixture toxicity and therefore its use is most appropriate for screening assessments of mixtures.     

Lot sizing with storage losses under demand uncertainty

We address a variant of the single item lot sizing problem affected by proportional storage (or inventory) losses and uncertainty in the product demand. The problem has applications in, among others, the energy sector, where storage losses (or storage deteriorations) are often unavoidable and, due to the need for planning ahead, the demands can be largely uncertain. We first propose a two-stage robust optimization approach with second-stage storage variables, showing how the arising robust problem can be solved as an instance of the deterministic one. We then consider a two-stage approach where not only the storage but also the production variables are determined in the second stage. After showing that, in the general case, solutions to this problem can suffer from acausality (or anticipativity), we introduce a flexible affine rule approach which, albeit restricting the solution set, allows for causal production plans. A hybrid robust-stochastic approach where the objective function is optimized in expectation, as opposed to in the worst-case, while retaining robust optimization guarantees of feasibility in the worst-case, is also discussed. We conclude with an application to heat production, in the context of which we compare the different approaches via computational experiments on real-world data.     

Defined contribution health care: future direction or fantasy?

Will payers embrace defined contribution plans as an alternative to traditional health insurance or is this new approach a pipe dream? Are consumers truly ready to make informed decisions on purchasing their own health care? This article explores barriers to defined contribution health plans, including consumer reluctance to take ownership of buying insurance and a preference for the cost predictability of liberal coverage in employer-sponsored programs versus MSAs or higher co-payment arrangements. For the ultimate form of defined contribution health care to work, several tax and insurance barriers must be overcome. As a practical matter, the author argues that the current employer-sponsored approach is the most efficient system for large employers.     

Assessing Cancer Risks from Short-Term Exposures in Children

For the vast majority of chemicals that have cancer potency estimates on IRIS, the underlying database is deficient with respect to early-life exposures. This data gap has prevented derivation of cancer potency factors that are relevant to this time period, and so assessments may not fully address children's risks. This article provides a review of juvenile animal bioassay data in comparison to adult animal data for a broad array of carcinogens. This comparison indicates that short-term exposures in early life are likely to yield a greater tumor response than short-term exposures in adults, but similar tumor response when compared to long-term exposures in adults. This evidence is brought into a risk assessment context by proposing an approach that: (1) does not prorate children's exposures over the entire life span or mix them with exposures that occur at other ages; (2) applies the cancer slope factor from adult animal or human epidemiology studies to the children's exposure dose to calculate the cancer risk associated with the early-life period; and (3) adds the cancer risk for young children to that for older children/adults to yield a total lifetime cancer risk. The proposed approach allows for the unique exposure and pharmacokinetic factors associated with young children to be fully weighted in the cancer risk assessment. It is very similar to the approach currently used by U.S. EPA for vinyl chloride. The current analysis finds that the database of early life and adult cancer bioassays supports extension of this approach from vinyl chloride to other carcinogens of diverse mode of action. This approach should be enhanced by early-life data specific to the particular carcinogen under analysis whenever possible.