A decision support system for the selection of a casting process using analytic hierarchy process

This paper presents an Analytic Hierarchy Process (AHP) based decision support system to select the most suitable casting process for a given product. The hierarchical structure of the proposed method allows the decision maker to compare the different casting processes using the material suitability and flexibility, geometrical complexity, dimensional tolerance and surface finish of the casting, and the cost as the criteria for selection. Judgemental inconsistency of the decision maker in selecting the casting process is taken care by ensuring that the value of consistency ratio is below (0.1). A numerical example is presented to illustrate the effectiveness of the proposed methodology for selecting the suitable casting process.     

A robust ranking method extending ELECTRE III to hierarchy of interacting criteria,imprecise weights and stochastic analysis

A great majority of methods designed for Multiple Criteria Decision Aiding (MCDA) assume that all assessment criteria are considered at the same level, however, decision problems encountered in practice often impose a hierarchical structure of criteria. The hierarchy helps to decompose complex decision problems into smaller and manageable subtasks, and thus, it is very attractive for computational efficiency and explanatory purposes. To handle the hierarchy of criteria in MCDA, a methodology called Multiple Criteria Hierarchy Process (MCHP), has been recently proposed. MCHP permits to consider preference relations with respect to a subset of criteria at any level of the hierarchy. Here, we propose to apply MCHP to the ELECTRE III ranking method adapted to handle three types of interaction effects between criteria: mutual-weakening, mutual-strengthening and antagonistic effect. We also involve in MCHP an imprecise elicitation of criteria weights, generalizing a technique called the SRF method. In order to explore the plurality of rankings obtained by the ELECTRE III method for possible sets of criteria weights, we apply the Stochastic Multiobjective Acceptability Analysis (SMAA) that permits to draw robust conclusions in terms of rankings and preference relations at each level of the hierarchy of criteria. The novelty of the whole methodology consists of a joint consideration of hierarchical assessments of alternatives performances on interacting criteria, imprecise criteria weights, and robust analysis of ranking recommendations resulting from ELECTRE III. An example regarding the multiple criteria ranking of some European universities will show how to apply the proposed methodology on a decision problem.     

The dysfunctions of power in teams: A review and emergent conflict perspective

We review the new and growing body of work on power in teams and use this review to develop an emergent theory of how power impacts team outcomes. Our paper offers three primary contributions. First, our review highlights potentially incorrect assumptions that have arisen around the topic of power in teams and documents the areas and findings that appear most robust in explaining the effects of power on teams. Second, we contrast the findings of this review with what is known about the effects of power on individuals and highlight the directionally oppositional effects of power that emerge across different levels of analysis. Third, we integrate findings across levels of analysis into an emergent theory which explains why and when the benefits of power for individuals may paradoxically explain the potentially negative effects of power on team outcomes. We elaborate on how individual social comparisons within teams where at least one member has power increase intra-team power sensitivity, which we define as a state in which team members are excessively perceptive of, affected by, and responsive to resources. We theorize that when power-sensitized teams experience resource threats (either stemming from external threats or personal threats within the team), these threats will ignite internal power sensitivities and set into play performance-detracting intra-team power struggles. This conflict account of power in teams integrates and organizes past findings in this area to explain why and when power negatively affects team-level outcomes, and opens the door for future research to better understand why and when power may benefit team outcomes when power’s dark side for teams is removed.     

Decision Making with Uncertain Judgments: A Stochastic Formulation of the Analytic Hierarchy Process*

In the analytic hierarchy process (AHP), priorities are derived via a deterministic method, the eigenvalue decomposition. However, judgments may be subject to error. A stochastic characterization of the pairwise comparison judgment task is provided and statistical models are introduced for deriving the underlying priorities. Specifically, a weighted hierarchical multinomial logit model is used to obtain the priorities. Inference is then conducted from the Bayesian viewpoint using Markov chain Monte Carlo methods. The stochastic methods are found to give results that are congruent with those of the eigenvector method in matrices of different sizes and different levels of inconsistency. Moreover, inferential statements can be made about the priorities when the stochastic approach is adopted, and these statements may be of considerable value to a decision maker. The methods described are fully compatible with judgments from the standard version of AHP and can be used to construct a stochastic formulation of it.     

A cross-national comparison of public project benefits management practices – the effectiveness of benefits management frameworks in application

Abstract

Benefits are the principal reason why an organization may seek to enact change through programmes and projects. The discipline of identification, definition, planning, tracking and realization of benefits is recognized to be instrumental in achieving organizational strategy. In this study, we describe the results of a cross-national comparison of public sector benefits management (BM) practices in Australia, Canada, the UK and the USA. It explores ‘BM practices in action’, considering to what extent ‘espoused’ or ‘mandated’ frameworks are actually practised and perceived by their users. Employing qualitative analysis, semi-structured interview data were analysed from 46 participants with experience in sponsoring, managing and/or reviewing government projects. The results expose considerable variation in the adoption and standardization of BM frameworks from inter and intragovernmental perspectives. We evidence a strong focus on benefits identification across the data set, specifically at the outset (the business case stage seeking project approval) and observe deterioration in focus as the project or programme progresses through the authorization (or assurance) approval gates towards close-out and operations. The results further emphasize the prominence of political interest, leadership buy-in, a benefits-driven culture and a transparent benefits reporting mechanism in the implementation of ‘effective’ BM frameworks.     

Dealing with Pluralism: A Response to Michael Zigarelli's Article on How Title VII Erodes the Mission of the Religious University

This response to Professor Zigarelli will consider three main elements within his argument – the religious university, preferential hiring, and the maintenance of a distinctive culture – in order to identify and clarify his normative presumptions and to suggest some implications of his views about religious universities for other organizations, like business corporations. It concludes by suggesting that Zigarelli should move from an orthodox to a more liberal response to pluralism in organizations.     

Bisphenol A: How the Most Relevant Exposure Sources Contribute to Total Consumer Exposure

Bisphenol A (BPA) is an endocrine disrupting chemical that is found in human urine throughout industrial societies around the globe. Consumer exposure pathways to BPA include packaged food, household dust, air, and dental fillings. To date, information on the relative contribution of the different pathways to total consumer exposure is lacking, but is key for managing substance‐associated risks. We investigated the relative contributions of the pathways known to be most relevant for nine different consumer groups. Our results suggest that the most important pathways for infants and children are the use of polycarbonate (PC) baby bottles and for adults and teenagers the consumption of canned food. Dental surgery can also considerably contribute over a short time directly after the surgery. For infants fed with PC baby bottles with mean dose rates of 0.8 μg/kg_bw/d the highest exposure dose rate was calculated. This dose rate is far below the tolerable daily intake of 50 μg/kg_bw/d. However, it is of the same order of magnitude as recently reported concentrations that caused low‐dose health effects in rodents. We find a pattern of falling exposure levels with rising age that is supported by urinary concentrations of BPA available for selected consumer groups. Similarly, the exposure levels we predict are confirmed by the levels reported in these studies.     

A Study of the Promotion to Partner Process in a Professional Services Firm: How Women are Disadvantaged

Increasing numbers of women are attracted to careers in the professional services. However, when their progress is considered to partner positions, it is found that they are not advancing to the levels anticipated. When the literature in relation to the partnership promotion process is explored, we find explanatory models are rare, and rarer yet is work that considers the impact of sex bias on the process. The article adds to the limited work available by presenting findings from a behavioural process perspective through an empirical study with male and female management consultants in a professional services firm which indicates that the promotion to partner process is indeed sex biased. Two areas of disadvantage for women are identified: the presence of a self-managed career advancement process necessitating a proactive approach to demonstrating individual contribution; and the need to ‘fit’ a prevailing model of success within the firm which is a masculine model and is more problematic for women. The article calls for a differentiated treatment of the glass ceiling phenomenon, capable of capturing disadvantage accruing from societally based factors and sector-based factors. The implications of the findings for future research and professional service firms are discussed.     

How to Design Rating Schemes of Risk Matrices: A Sequential Updating Approach

Risk matrices have been widely used as a risk evaluation tool in many fields due to their simplicity and intuitive nature. Designing a rating scheme, i.e., determining the number of ratings used in a risk matrix and assigning different ratings to different cells, is an essential part of risk matrix construction. However, most of the related literature has focused on applying a risk matrix to various fields, instead of researching how to design risk matrices. Based on the analysis of several current rules, we propose a new approach, namely, the sequential updating approach (SUA), to design the rating scheme of a risk matrix in a reliable way. In this article, we propose three principles and a rating algorithm based on these principles. The three principles, namely, adjusted weak consistency, consistent internality, and continuous screening, characterize a good rating scheme. The resulting rating scheme has been proven to be unique. A global rating algorithm is then proposed to create the design that satisfies the three principles. We then explore the performance of the SUA. An illustrative application is first given to explain the feasibility of our approach. The sensitivity analysis shows that our method captures a resolution‐reliability tradeoff for decisionmakers in choosing an appropriate rating scheme for a risk matrix. Finally, we compare the designs based on the SUA and Cox's axioms, highlighting the advantages of the SUA.     

公选面试中如何面对考官的"追问"

面试是公选的一个重要环节,目的是检测考生的综合分析能力、组织与协调能力、应变与创新能力、言语表达能力等。通常情况下,面试考官对考生回答问题只是一边听,一边评判,然后给出相应的分数。但是,有时也会出现考官"追问"的情况。作为应试者,一旦遇到这样的情况,应当立即注意从三个方面把握好自己,避免失去不应该失去的分数。     

技术能力如何转化为竞争优势：组织动态能力观点

技术创业型公司拥有雄厚的技术能力,然而并不表明这些公司也具备相当的竞争优势.技术能力转化为竞争优势的过程中受到组织动态能力(知识整合能力)影响.技术创业型公司的组织动态能力包括两个方面的具体知识整合能力,即来自市场/客户的需求信息与组织技术能力之间的知识整合能力以及公司内部不同职能部门之间的知识整合能力.技术创业型公司组织动态能力过程是影响技术能力转化为竞争优势的关键过程.本文通过对三家典型的技术创业型公司案例研究来解释有关理论假设.     

Antecedents and consequences of diversity and equality management systems: The importance of gender diversity in the TMT and lower to middle management

Strategic human resource management theory suggests that diversity and equality management (DEM) systems provide a firm with a competitive advantage, leading to superior performance. This study proposes and tests a moderated mediation model focusing on antecedents (i.e. top management team gender diversity) and consequences (i.e. performance) of DEM systems in the context of lower through middle management (LTMM) gender diversity. The model was tested in 248 medium-to large-sized organizations using time-lagged survey and archival data. The findings provide full support for the hypothesis that a gender-diverse top management team is positively associated with DEM systems. The results provide partial support for the following hypotheses: DEM systems are positively associated with performance and this relationship is moderated by LTMM gender diversity; and DEM systems mediate the relationship between TMT gender diversity and performance. We discuss theoretical, research and practical implications.     

Liability of foreignness to competitive advantage: How multinational enterprises cope with the international business environment

An expanded and holistic conceptualization of the liability of foreignness (LOF) is presented that goes beyond the traditional foreign subsidiary–local firm dyad in the host country. Taking the strategy process perspective, we contend that this liability is the aggregated effect of the firm's interaction with all elements of the international business environment (IBE), not merely in the initial entry mode decisions but throughout its foreign operations. Viewing the antecedents and consequences of this liability holistically, we argue that accurate reading of the complex and volatile IBE, formulation of a compatible strategy and its effective implementation together contribute to good performance. As the resource-based perspective suggests the degree to which firms develop such tacit skills, differentially affects their performance. Firms that excel in these environment-reading skills and are agile enough to quickly adapt to its changes can transform this liability into a competitive advantage.     

On the benefits of operational flexibility in a distribution network with transshipment

We consider a centralized distribution network with multiple retailers who receive replenishment inventory to satisfy customer demand of the local markets. The operational flexibility of the network is defined as the opportunity that one retailer's excess inventory can be transferred to satisfy other retailers’ unmet customer demand due to stock-outs. A general modeling framework is developed to optimize retailers’ order quantities under any possible flexibility level of a stylized two-stage distribution network. We apply the framework to formulate and solve the transshipment problem of a distribution network with three retailers. Six typical flexibility levels are investigated to make the comparison study on the firm's profit performance under three ordering quantity policies: average demand, newsvendor order quantity, and optimal order quantity. We find that the operational flexibility and system optimization are complements to the firm's performance. The ordering policy with newsvendor ordering quantity can perform fairly well with moderate flexibility level when compared with the optimized ordering policy with full flexibility.     

A framework for evaluating the benefits of collaborative technologies in engineering innovation networks

In times of rapid economic change, the decrease in knowledge value becomes inversely proportional to its speed of obsolescence, with successful organisations seeking to connect more rapidly and more effectively with others in the creation of new knowledge. The past decade has seen a growing interest in communities of practice as a method for transferring and generating knowledge within product development, rooted as they are in the nature of knowledge creation as a socially embedded process. Given the widespread adoption of collaborative technologies as facilitative platforms for innovation in the interactions of contemporary communities of practice, the objective of this research is to develop an evaluation paradigm and employ it to examine how such interaction is facilitated through the medium of Web 2.0 technologies. The contribution of this research to theory and innovation technology practice will be to further the understanding of collaborative technologies by examining the impact of Web 2.0 technologies on engineering innovation networks. Furthermore, it brings together the three diverse research areas of technology innovation, internet collaborative tools and psychological barriers and enablers.     

Stochastic Judgments in the AHP: The Measurement of Rank Reversal Probabilities

This paper presents a methodology for analyzing Analytic Hierarchy Process (AHP) rankings if the pairwise preference judgments are uncertain (stochastic). If the relative preference statements are represented by judgment intervals, rather than single values, then the rankings resulting from a traditional (deterministic) AHP analysis based on single judgment values may be reversed, and therefore incorrect. In the presence of stochastic judgments, the traditional AHP rankings may be stable or unstable, depending on the nature of the uncertainty. We develop multivariate statistical techniques to obtain both point estimates and confidence intervals of the rank reversal probabilities, and show how simulation experiments can be used as an effective and accurate tool for analyzing the stability of the preference rankings under uncertainty. If the rank reversal probability is low, then the rankings are stable and the decision maker can be confident that the AHP ranking is correct. However, if the likelihood of rank reversal is high, then the decision maker should interpret the AHP rankings cautiously, as there is a subtantial probability that these rankings are incorrect. High rank reversal probabilities indicate a need for exploring alternative problem formulations and methods of analysis. The information about the extent to which the ranking of the alternatives is sensitive to the stochastic nature of the pairwise judgments should be valuable information into the decision-making process, much like variability and confidence intervals are crucial tools for statistical inference. We provide simulation experiments and numerical examples to evaluate our method. Our analysis of rank reversal due to stochastic judgments is not related to previous research on rank reversal that focuses on mathematical properties inherent to the AHP methodology, for instance, the occurrence of rank reversal if a new alternative is added or an existing one is deleted.     

Work and the good life: How work contributes to meaning in life

Many people expect their work to provide meaning to their lives, yet the specific organizational factors that can promote meaning in life are not clearly delineated. Drawing on the basic science of meaning in life, in this paper we propose that work entails a host of experiences that foster meaning in life. We begin by defining meaning in life, noting its placement within the broader well-being literature and dispelling common myths about its rarity in people’s lives. After highlighting the myriad benefits of meaning for individuals and organizations, we describe several established sources of meaning in life and their relevance to work. We then examine how work orientations and social demographic factors influence the propensity to seek meaning through work. We conclude with a discussion of future research directions that can better illuminate the predictors and functions of meaningfulness at work.     

The psychological benefits of exercise in work settings: A review, critique, and dispositional model

Evidence on the psychological effects of exercise on employees is considered. Studies which examined the effect of company-sponsored exercise programmes as well as those examining the more general effect of exercise in work settings are reviewed. It is concluded that the evidence for psychological benefits is equivocal. Due to methodological problems, it is difficult to determine whether exercise is responsible for the positive effects reported. Four personality characteristics which may be responsible for both exercise and psychological reactions to work are considered, and a model is then presented. It was concluded that future studies examining the impact of exercise should consider this dispositional model.     

How to better identify the true managerial performance: State of the art using DEA

Our motivation is to detail a potential improvement on the three-stage analysis published by Fried et al. [Accounting for environmental effects and statistical noise in data envelopment analysis. Journal of Productivity Analysis 2002;17:157–74] that can distinguish true performers from those that may be advantaged by favourable environments or measurement errors. The method starts with data envelopment analysis (DEA), and continues with stochastic frontier analysis to explain the variation in organisational performance in terms of the operating environment, statistical noise and managerial efficiency. It concludes with DEA again using adjusted data to reveal a measure of performance based on management efficiency only. Our proposed contributions include (i) a comprehensive approach where total input and output slacks are identified simultaneously for non-radial inefficiencies before levelling the playing field, (ii) identifying percent adjustments attributable to the environment and statistical noise, and (iii) using a fully units-invariant DEA model.