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This paper presents the second-generation estimates for the Italian engineering industry in 1911, a year documented both by the customary demographic census, and the first industrial census. The first part of this paper uses the census data to estimate the industry’s value added, sector by sector; the second further disaggregates each sector by activity, and estimates the value added, employment, physical product, and metal consumption of each one. A third, concluding section dwells on the dependence of cross-section estimates on time-series evidence. Three appendices detail the specific algorithms that generate the present estimates; a fourth, a useful sample of firm-specific data.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

This paper applies the decomposition method proposed by Wang et al. (2013), together with the multi-national input-output tables from World Input-Output Database (WIOD) to estimate the value-chain transition in East Asian production network. Specifically, we calculate and examine the domestic value-added absorbed abroad, foreign value-added embodied in country’s gross exports, and vertical specialization measures to explore the relative positions of major East Asian countries in the global production chain over the period of 1995-2011. The analyses are at country-aggregate, country-sector, bilateral-aggregate and bilateral-sector levels. Based on our results, we answer the important question of whether Taiwan and South Korea have used China’s production chains as an intermediary to re-export their products to other countries in the world. Furthermore, we answer the question that over the 1995-2011 periods, have Taiwan and South Korea exploited cheap labor from China to add value to their products before re-exported them to the rest of the world?

This paper analyzes the measurement of effective protective rates when there is joint production. It shows that special attention is required when tradables are jointly produced with non‐tradables, and especially when there are significant changes in the prices of non‐tradables. Input‐output formulas for the Balassa and Corden methods are provided.

The chapter analyses the international economic specialization of the Republic of Belarus based on the balance of payments and national statistics data by type of economic activity. It also demonstrates application of the customized Trade in Value Added methodology for analysis of the international economic specialization of Belarus. The methodology has been developed for the calculation of selected key figures for 2011–2016. Using of “Input–Output” tables to measure intersectoral relationships enabled assessment of the international trade not only in terms of prices of goods and services, but in terms of value added of each product. The analysis shows that the most important industries of the international economic specialization of Belarus are oil products, chemical products, food stuffs, equipment and vehicles, transport services, computer services. Domestic value added share of exports is about 60%, which corresponds to the level of such countries of Central and Eastern Europe as the Czech Republic, Slovakia, Estonia, Poland. Consequently, import intensity of exports accounts for about 40%. The results of the study have allowed to assess the interrelation between production, exports, and economic growth and to provide recommendations ensuring a deficit-free balance of payments.

This study seeks to analyse the relation between technology, competitiveness and specialisation in OECD manufacturing.

A regression analysis is first performed explaining the disaggregate manufacturing relative value added market share performance of a series of OECD countries by their relative unit labour costs (ULC), relative own and foreign research intensity and by a catch up term. Estimates are then presented of equations relating an indicator of revealed comparative advantage of value added to similar measures of comparative performance of ULC, or of its component terms, and of R&D expenditure, and the respective results are considered in conjunction.

The results show that, although each time there is evidence of a negative impact of the ULC‐based variables, the influence of the technology variables is far more important. Re‐estimation on research‐intensive and less research‐intensive samples shows that the dominance of the technology factors is especially important in the research‐intensive industries. The influence of comparative wages on specialisation is, moreover, found to be positive here, suggesting the presence of a significant labour skill effect.

The paper confirms the Schumpeterian insights, which have emphasised the relation between technology, competitiveness and specialisation. It stresses the dominance of product qualitative aspects of competitiveness, especially in research‐intensive industries.

The purpose of this study is to evaluate a development process aimed at increasing registered nurses’ (RNs) working time use in value-adding patient care by applying a modified Transforming Care at the Bedside (TCAB) program at inpatient units of two tertiary hospitals.

Basic data for the development process were collected on RNs’ working time use via external observation in 2011 (RNs = 113). Nursing work was redesigned and implemented by 12 multi-professional teams during 2012-2013. The development process was evaluated by repeating the collection of RNs’ working time use data in 2013 (RNs = 95) and by analyzing the memos of the development teams via deductive content analysis (N = 64).

RNs’ working time use showed statistically significant increases in value-adding care and direct patient care but decreases in non-value-added work and miscellaneous work. Changes in the nursing work model, division of labor and the nursing work environment all affected RNs’ working time use.

The development process progressed distinctively in each unit, as shown by the results of the development work. Clinical RNs had key roles as innovators and change agents, yet the engagement of nursing managers was most essential for the success of the development work.

Even minor changes in nurses’ daily work profile can have considerable effects on RNs’ work. The TCAB program was shown to be a useful method in developing RNs’ work also in psychiatric units.

Due to the emergence of global production networks, trade statistics have became less accurate in describing the dependence of emerging Asia on external demand. This chapter analyses, using an update of the Asian International Input–Output (AIO) table, the interdependence of emerging Asian economies, the United States, the EU15, and Japan via trade and production linkages. According to the results, we do not find evidence of the decoupling of emerging Asia from the rest of the world. On the contrary, we find evidence on increasing trade integration, both globally and regionally. Nonetheless, our analysis indicates that emerging Asia's dependence on exports is only about one-third of its GDP, that is, well below the 50% exposure suggested by trade data. This finding can be explained by the high import content of exports in these economies, which is a result of the increasing segmentation of production across the region.

The purpose of this paper is to guide companies in conducting benchmarking studies of their manufacturing processes by viewing across industries, locations and products. In particular, the proposed framework can help corporate decision makers in terms of production footprint and site location studies. The level of benchmarking performance can be measured by evaluating defined benchmarking evaluation profiles.

This paper develops a tool to operationalize value-added manufacturing processes for benchmarking evaluations. In this context, an object-oriented database structure has been developed for the business areas such as product development, manufacturing and assembly. This paper focuses on manufacturing processes. Furthermore, a framework for applying high-performance benchmarking has been developed and applied in a case study.

This paper shows that object class-oriented modeling approach can be applied to manufacturing processes. The higher the degree of independence in terms of locations, industry sectors and products, the more powerful thus a higher performance of benchmarking is achieved. The performance level of benchmarking has been defined by proving and demonstrating higher and lower performance levels. The high-performance benchmarking tool has been successfully applied to a production footprint case study.

This paper takes up the superiority of process benchmarking that has been the focus of numerous research papers on benchmarking techniques in the past. The potential of process benchmarking has been enhanced and operationalized as a tool. A classification logic for benchmarking evaluation profiles has been developed and integrated in the overall tool set. The model helps decision makers to configure their benchmarking studies tailored to their strategic entrepreneurial questions and to guide them to achieve a higher benchmarking performance level.