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An industry which manufactures and sells products that are liable to failure (e.g. TV sets, tape recorders, washing machines or refrigerators), usually has a department for “service after‐sales”. Such a department must distribute information on how to repair products, and also supply spare parts to replace defective components during a given number of years. We call these spare parts service parts. Three phases can be distinguished in the life‐cycle of service parts: the initial, the repeat, and the final phase.

An industry which manufactures and sells products that are liable to failure (e.g. TV sets, tape recorders, washing machines or refrigerators), usually has a department for “service after sales”. Such a department must distribute information on how to repair products, and has to supply spare parts to replace defective components during a given number of years. We call these parts service parts. Three phases can be distinguished in the life‐cycle of service parts:

Performance indicators (PIs) and performance measurement are popular topics in management literature nowadays. However, hardly ever is attention paid to the consequences of the relationships that often exist between the different PIs for designing effective, consistent performance management systems for organizations as a whole. Presents a concrete method for constructing a consistent set of PIs forming the basis of a consistent performance management system, where explicit attention is paid to the relations between PIs. Discusses the important role played by the new classification of PIs. Provides a case study to illustrate the use of the method in a practical situation.

Service part inventories cannot be managed by standard inventory control methods, as conditions for applying the underlying models are not satisfied. Nevertheless, the basic questions of inventory control have to be answered: Which parts should be stocked? Where should they be stocked? How many of them should be stocked? Presents a case study in which a pragmatic but structured approach is followed – a framework is developed and built into a spreadsheet. The resulting tool has been tested in a real‐life situation, indicating that considerable amounts of money can be saved.

Service parts are needed for maintenance of industrial systems as well as for consumer products. Their logistics has an inherent difficulty: common models for inventory management are invalid, as the demand process is different and demand data scarce. The paper discusses experiences gained in case studies of practical stock control techniques. New concepts aimed to reduce the problem of slow moving parts are described, for example: suppliers leasing service parts; standardisation of parts for the group of machines in a factory or over a complete sector of industry; a “broker” between suppliers and customers who makes the service parts inventories transparent and facilitates pooling of parts.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

The high‐tech industry is the economic lifeline for Taiwan. Its characteristics are short product life cycle, rapid changes in the market, and a high obsolescence rate for new products. Under globalization, the high‐tech industry has adopted Information Technology (IT) to shorten the manufacturing process, reduce costs and conduct product research and development (R&D) to increase the core competence of enterprises and achieve the goal of sustainable operations. Enterprises should actively strengthen their integration with internal and external resources and lead in R&D management to increase industrial operating performance. Effectively managing operations and R&D management evaluation in Taiwan’s High‐tech Industry has become a critical subject. This study adopted 4 major Balanced Scorecard (BSC) perspectives to establish the Total Performance Evaluation Indicators for the R&D management department in Taiwan’s High‐tech Industry. The Analytic Network Process (ANP) was applied to evaluate the overall performance of the R&D management department. The research framework is divided into 2 phases. The first phase is combined with the 4 major perspectives, Financial, Customer, Internal Business Process and Learning and Growth, as the related indicators for each measurement perspective. The Key Performance Indicators (KPI) were selected using Factor Analysis to identify the key factor from the complicated indicators. The relationship between the characteristics of each BSC’s evaluation perspective is dependence and feedback. This study applied ANP to conduct the calculation and adjustment of correlation between each KPI, and determine on their relative weights for the objective KPI. The “Financial Perspective” for R&D management department in Taiwan’s High‐tech Industry focused on the budget achievement rate of R&D management. The weight indicator value is (0.05863). The “Customer Perspective” focused on problem‐solving satisfaction. The weight value of this indicator is (0.17549). The “Internal Business Process Perspective” focused on the quantity and quality of R&D. The weight value of this indicator is (0.13506). The “Learning and Growth Perspective” focused on improving competence in the research ersonnel’s professional techniques. The weight value of this indicator is (0.02789). From the total weighting indicators, the order of the Performance Indicators for the R&D management department in Taiwan’s High‐tech Industry is: (1) Customer Perspective; (2) Internal Business Process Perspective; (3) Financial Perspective; and (4) Learning and Growth Perspective.

In the early industrial age which with high intensity of machine and labor, using financial measurement index was good enough to tie in company’s mechanization and philosophy of management and been in efficiency. But being comply with “New Economic age,” a new economic environment is full of knowledge and information, the enterprise competition had changed from tangible assets, plants to intangible innovation ability of knowledge. As recognizing the new tendency by enterprise, they value gradually the growth and influence from learning. Practice of organization learning not only needs firm structure and be in coordination with both hardware and software, but also needs an affect measurement model to offer enterprise to estimate learning performance. It’s a good instrument of financial performance measure mold in the past years, But it’s for measuring the past, couldn’t formulate enterprise trend to future, hard to estimate investment for future, such as development of products, organization learning, knowledge management etc, as which intangible assets and knowledge ability just the key factors of being win around competition environment in the future. In 1992, Kaplan and Norton brought up Balance Scorecard (BSC) on Harvard Business Review, as an instrument helping enterprise to measure performance, which is being considered to be a most influence management instrument. It added non‐financial index such as customer, internal process and learning growth besides traditional financial index, as offering enterprise an index to measure and manage intangible assets and intellectual property. As being aware of organization learning is hard to be ignored in the new economic age, this research is based on learning and growth of BSC, and citing one national material company try to let the most difficult measurement performance of organization learning, to be estimate through BSC, analyze of factor and individual case, to discuss the company how to make the related strategy and vision of organization learning to develop learning and growth of the structure of BSC, subject the matter of out put factors to be discussed, and measure the outcomes as a result of research. The research affect offers (1) the base implement procedure of carrying out BSC; (2) the reference of formulating measurement index while enterprise using BSC to estimate performance of organization learning; (3) the possibility bottleneck maybe forcing while carrying out BSC, to be an improvement or preventive for enterprise.

High‐tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high‐tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high‐tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan’s high‐tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.

Over the past few years, several scholars have focused on innovation strategies with specific regard to family food firms. In line with this research stream, the purpose of this paper is to understand how family food firms with long-standing traditions can implement innovative productions while remaining anchored to the past.

By adopting a qualitative research methodology, mainly based on a multiple case study, this paper seeks to cover some unexplored areas regarding the opportunity of combining tradition and innovation to achieve success in the highly competitive international arena in which family food firms operate. The authors analyze the cases of “La Torrente,” “Cioccolatitaliani” and “La Fabbrica della Pasta di Gragnano.”

Successful family food firms leverage their deep-rooted knowledge of both family and local traditions to innovate. At same time, they establish continuous info exchange flows with all of the firm’s stakeholders by adopting an open innovation approach.

From a theoretical perspective, there is a need for an in-depth study of how an effective blend of tradition and innovation is formalized, above all, in family firms. As for the practical implications, all the three case studies represent a best practice, especially for family firms with a long-standing history and strong local connections.

The paper shows how important it is to keep traditional factors in food industry and offers hints and suggestions to decision makers of family firms on how to valorize, in terms of competitiveness, their traditional resources – almost bound to their territory with innovation tools and processes.

The paper is interesting because it offers an analysis of a specific group of firms – family firms – that characterize many industries in Italy and in Europe. Although often small, these firms can show dynamism and creativity. The paper offers hints on how to approach innovation in the sector while keeping the value of tradition.

The originality of the proposed conceptual model stems from the need to overcome the previous theoretical models, which deal separately with sources of past knowledge and sources of new and/or external knowledge.