Executive Compensation Eligibility in Global Businesses: A Global Banding Approach

As corporations expand their geographic reach and executive talent moves across geographic borders as freely as capital, global compensation executives must keep pace. Ethnocentric, nationalistic and parochial HR systems and policies inherited from the past that are focused on a single country may actually be barriers to the establishment of effective global organizational processes. Leaving local units in various countries determine their own executive compensation philosophies and practices may be equally detrimental

Leanness and agility as means for improving supply chains. A case study on Egypt

Supply chain management has received greater attention from the academics and the practitioners, however the literature review lacks a comprehensive view for supply chain management practices and how its members should act to contribute to its overall success (Li el at., 2005). In this era, where the business organisations are working in several challenging threats and opportunities, greater attention is given to supply chain management. Nowadays, companies are always searching for means to improve their supply chains. The main aim of this research is to show "how leanness and agility approaches can be used within the same enterprise as complementary means for improving its supply chain". To achieve this research objective, the research has provided an assessment and summarised the literature on the supply chain management, lean thinking and agility thinking including their importance; their definitions; their practices and the relationship between lean and agility. The resulted proposed framework deduced from the literature has been applied in the Egyptian Manufacturing Business to show the relationship between the agility principles, lean principles, entity performance and the successful supply chain

A robust fuzzy possibilistic AHP approach for partner selection in international strategic alliance

The international strategic alliance is an inevitable solution for making competitive advantage and reducing the risk in today’s business environment. Partner selection is an important part in success of partnerships, and meanwhile it is a complicated decision because of various dimensions of the problem and inherent conflicts of stockholders. The purpose of this paper is to provide a practical approach to the problem of partner selection in international strategic alliances, which fulfills the gap between theories of inter-organizational relationships and quantitative models. Thus, a novel Robust Fuzzy Possibilistic AHP approach is proposed for combining the benefits of two complementary theories of inter-organizational relationships named, (1) Resource-based view, and (2) Transaction-cost theory and considering Fit theory as the perquisite of alliance success. The Robust Fuzzy Possibilistic AHP approach is a noveldevelopment of Interval-AHP technique employing robust formulation; aimed at handling the ambiguity of the problem and let the use of intervals as pairwise judgments. The proposed approach was compared with existing approaches, and the results show that it provides the best quality solutions in terms of minimum error degree. Moreover, the framework implemented in a case study and its applicability were discussed

AI and OR in management of operations: history and trends

The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context for the survey through a historical perspective of OR and AI. An extensive survey of applications of AI techniques for operations management, covering a total of over 1200 papers published from 1995 to 2004 is then presented. The survey utilizes Elsevier's ScienceDirect database as a source. Hence, the survey may not cover all the relevant journals but includes a sufficiently wide range of publications to make it representative of the research in the field. The papers are categorized into four areas of operations management: (a) design, (b) scheduling, (c) process planning and control and (d) quality, maintenance and fault diagnosis. Each of the four areas is categorized in terms of the AI techniques used: genetic algorithms, case-based reasoning, knowledge-based systems, fuzzy logic and hybrid techniques. The trends over the last decade are identified, discussed with respect to expected trends and directions for future work suggested

The Role of Management Practices in Closing the Productivity Gap

There is no doubt that management practices are linked to the productivity and performance of a company. However, research findings are mixed. This paper provides a multi-disciplinary review of the current evidence of such a relationship and offers suggestions for further exploration. We provide an extensive review of the literature in terms of research findings from studies that have been trying to measure and understand the impact that individual management practices and clusters of management practices have on productivity at different levels of analysis. We focus our review on Operations Management (om) and Human Resource Management (hrm) practices as well as joint applications of these practices. In conclusion, we can say that taken as a whole, the research findings are equivocal. Some studies have found a positive relationship between the adoption of management practices and productivity, some negative and some no association whatsoever. We believe that the lack of universal consensus on the effect of the adoption of complementary management practices might be driven either by measurement issues or by the level of analysis. Consequently, there is a need for further research. In particular, for a multi-level approach from the lowest possible level of aggregation up to the firm-level of analysis in order to assess the impact of management practices upon the productivity of firms

Mainstreaming New Renewable Energy Technologies

This paper outlines the benefits, obstacles and options for governments to support international markets for technology development. International markets for new energy technologies offer greater scope, thereby increasing the incentives and opportunities for technology improvements. As the market is supported by more independent governments, the confidence of technology developers and producers that future markets for their products will exist is increasing, thus enabling capital access and inducing R&D investment and exploration of improved production processes. The bigger markets also allow for international competition, thus allowing for the application of the best available technology. The government challenge to induce sufficient RD&D remains and with international markets the benefits and costs of national governments free-riding on international effort needs to be addressed. Finally, we discuss how international co-operation can be used to evolve the energy system in such a way that it can integrate new technologies at minimum cost

How can we know if EU cohesion policy is successful? Integrating micro and macro approaches to the evaluation of Structural Funds

In this paper we describe an integrated approach for assessing the general economic effectiveness, efficiency and impact of public policy actions for large investment programs of the kind implemented over the past fifteen years in EU-aided Structural Fund programmes. Far from being rigid, our modelling philosophy includes both formal tools designed to assess all relevant effects, as well as informal (intuitive) elements to allow for flexible policy design and evaluation. When setting up an integrated micro-macro (IMM) model we are trying to over-come two major shortcomings in actual policy design and analysis: Firstly, to bridge the gap between the scientific requirements of model-based decision making and evaluation and the practical requirement for flexible and easy to use decision support tools that are well suited for day-to-day application. Secondly, to address the observed discrepancy in policy analysis between programme monitoring and evaluation realized at a highly aggregate level using quantitative macromodels (the so called “top down” approach) and the highly disaggregated approach to project evaluation, marked as micro- or “bottom up”-approaches.

Achieving excellence in construction

The UK construction industry at its best is excellent. Nonetheless there is a deep concern that the industry as a whole is underachieving. Problems such as low and unreliable profitability, a lack of research and development, a shortage of skills, usage of tender price evaluations, and a fragmented industry structure, are widely recognised by the industry. These problems must be tackled in order to modernise (Egan, 1998). Developed using Egan’s principles ‘Constructing excellence’ has been formed to help the industry deliver world -class products and services. In general management practice the principles of business excellence models are used to realise the similar objective of ‘delivering world-class products and services. This enables the application of business excellence models in construction. EFQM excellence model & MBNQA are two well known internationally recognised excellence models. This paper compares Egan’s principles with those of widely used business excellence models to identify areas that may point the way forward in achieving excellence in constructio