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This study consists of an examination of productivity growth following three major technological breakthroughs: the steam power revolution, electrification and the ICT revolution. The distinction between sectors producing and sectors using the new technology is emphasized. A major finding for all breakthroughs is that there is a long lag from the time of the original invention until a substantial increase in the rate of productivity growth can be observed. There is also strong evidence of rapid price decreases for steam engines, electricity, electric motors and ICT products. However, there is no persuasive direct evidence that the steam engine producing industry and electric machinery had particularly high productivity growth rates. For the ICT revolution the highest productivity growth rates are found in the ICT-producing industries. We suggest that one explanation could be that hedonic price indexes are not used for the steam engine and the electric motor. Still, it is likely that the rate of technological development has been much more rapid during the ICT revolution compared to any of the previous breakthroughs.

Despite US government policymakers′ hopes for a return to US predominance in the marketplace, manufacturers face the fact that the Japanese manufacturing superiority is largely due to better quality, cost‐effective operations, and rapid response to customers. A few explanations for the US disadvantage have been preferred (such as higher wages, unionisation, lack of lifetime employment, lack of automation, lack of existence of economies of scale and the dynamic effect of the learning curve), but all have been refuted. The researchers believe the explanation lies in the lack of emphasis on two strategies in manufacturing dominance: first, integrating quality control techniques into all operating disciplines, including design, production, and logistics; second, efficient utilisation of manufacturing resources including equipment, material, personnel, and time. This article examines the role of these two strategies in regaining US manufacturing dominance and reports the advantages obtained by nine manufacturing organisations implementing them.

To report a recently completed study on enterprise resource planning (ERP) implementation in Korean manufacturing firms.Design/methodology/approach – An online survey was conducted (with e‐mail invitation and telephone call reminder) to collect data from 306 Korean manufacturing firms.Findings – This study presents the issues related to ERP implementation in Korean manufacturing firms, including pre‐implementation activities, implementation experiences, ERP system configuration, benefits, and future direction. Additionally, the results are compared to those results from previous studies on US and Swedish manufacturing firms.Research limitations/implications – The study focused on one industry in one Asian country which perhaps limits the application of its generalized results to other industries or other Asian countries.Practical implications – The results of this study present and discuss both similarities and differences in ERP implementation issues among Korean, US, and Swedish manufacturing firms.Originality/value – This research is the first empirical study on the issues related to ERP implementation in manufacturing firms in the Asia/Pacific region. It is also the first study providing comparison results regarding ERP implementation in manufacturing firms in Asian, North American, and European countries.

Advanced processing technologies, managerial practices, and information systems have merged as vital elements of modern day production. It has been argued that these changes in practice and technology have yielded a strategic manufacturing environ‐ment in the 1990s which is very different from that which existed in the 1970s and 1980s. Examines and documents these changes through the findings of a study in the US power tool industry of the effectiveness of the product‐process matrix in explaining the operations strategies of firms over the period 1970‐1990. Utilizes data from a detailed literature‐based survey, from on‐site interviews with executives and tours of manufacturing plants in the industry to explore the strategies followed over time by main and niche power tool firms competing in the US market. Shows that, while the Hayes and Wheelwright product‐process model captures many aspects of strategic operations decisions through 1980, changes have dramatically altered the competitive landscape and that many of the trade‐offs central to the model are no longer central to the articulation and formulation of operations strategy.

Cloud manufacturing (CMfg) has emerged as a service-oriented paradigm that enables modularization and on-demand servitization of resources in the context of manufacturing. The plethora of studies on CMfg has led the authors to investigate its implementation, as most of the literature is theoretical or simulation-based. Therefore, the purpose of this study is to investigate the reality of the CMfg concept in terms of adoption.

A tri-theoretic model is developed using the technology adoption model, diffusion of innovation and technology-organization-environment for hypotheses development. Data are collected from 218 US manufacturers. The data analysis approaches are partial least squares structural equation modeling, while data visualization is done to further analysis.

The study shows that most of the US manufacturers are reluctant to adopt the CMfg. Further, the statistical findings imply that competitive pressure, top management support, compatibility and trialability play a vital role in its adoption. The success of the CMfg adoption relies on the implementation of the pre-installation stage and the top management decisions.

For practitioners, the study provides insight on how to supervise the CMfg platform implementation to improve the adoption process. For researchers and academicians, the significance of trialability provides a wide range of research topics on developing the CMfg trials and models.

This paper highlights the concerns of manufacturers about the pros and cons of the CMfg adoption, as this topic has not been given due attention in the literature. This will help to align future research directions according to market concerns and mitigating the factors that are hindering its adoption.

The purpose of this paper is to confirm empirically the existence of a US apparel import intermediary (AII) identity crisis, and to provide a detailed descriptive profile of AIIs, differentiating them from apparel firms not primarily engaged in importing activities.

A survey study was conducted using a national sample of US AIIs. Based on these firms' executives' responses, a firm identity issue was analyzed and a detailed profile of these firms' business characteristics was developed, using frequency comparisons.

The study confirmed that US AIIs are currently experiencing an identity crisis, as nearly half of the study respondents misclassified themselves as apparel manufacturers or other business types, suggesting a significant distortion in US Economic Census data. The study also provided a descriptive profile of US AIIs, including geographic location and other business operation characteristics.

Three fourths of the survey respondents were located in the state of New York. Whether most US AIIs truly reside in New York cannot be known with certainty. Generalization of the study findings to a greater population should be cautious.

Confirmation of an AII identity crisis suggests both aggregate and individual firm‐level impacts on import activities. The study offers a new term, “intermediary”, to replace the US Census Bureau term “wholesaler” to accurately reflect the industry's transformation.

The study provides the first empirical support for a US AII identity crisis. The detailed profile of US AIIs offers industry data not available prior to this study.

In 1978, the once powerful US apparel industry was on the cusp of change, and the consulting firm KSA conducted a Delphi survey of apparel executives’ predictions into the 2000s. The purpose of this paper is to compare actual changes over the subsequent decades with these 1978 expert predictions and explore the accuracy/inaccuracy of these “educated guesses” (KSA, 1978, p. 1).

The chorographic method was used to analyze the report and document historical data. Chorography is “concerned with significance of place, regional characterization, [and] local history […]” (Rohl, 2012, p.1) and includes contextual settings and researcher input. Primary data were examined during each decade and included: industry literature, government documents and labor data. The researchers used content analysis to reduce and organize data.

Findings cover three decades of Southeast US apparel industry data including imports, employment, number of plants, size of plants and productivity. Predictions were inaccurate about imports, predicted to be minor in comparison with domestic production, which they actually surpassed. Predicted decrease in employment was similar to actual decrease but reasons were inaccurate. Change in number and size of plants were over-predicted and under-predicted. Reasons given by experts were automation and government intervention; in actuality, limited automation occurred with insignificant impact in contrast to outsourcing, which decimated employment in US plants. Steady increase in productivity was predicted when productivity often decreased.

Previous studies focus on the textile sector; studies of the apparel sector tend to be regional or topical. This study is more expansive and provides insight into predictions and changes made in the US apparel industry at a critical time in its near demise. With the current climate of global change and increased market uncertainty, insights from this study may provide direction for rethinking of the domestic apparel industry for the USA and other developed countries.

This study asks whether working in a R&D intensive industry affects a worker's wage profile. If R&D investment translates into transferable human capital or knowledge, workers' mobility constitutes a negative externality from the point of view of the firm/industry that bears the cost of R&D activities. A steepening of the wage profile would address such externality.

Using PSID data combined with US BEA data on US manufacturing industries' R&D intensities between 1981 and 1992, regression analysis is used to explore the hypothesis that, similarly to general training, industry R&D steepens a worker's wage‐experience profile.

In general the evidence is mixed. The results obtained from biennial wage growth regressions support to some extent the hypothesis that exposure to R&D activities allows a specific group of workers to accumulate general human capital for which they pay a positive price in early stages of their career.

An important caveat applies to the results. Unlike previous research by Møen who uses firm level R&D, the results found in this study are generated by using industry level R&D, which, being possibly affected by severe measurement errors, may bias the estimated coefficients towards zero.

This study complements Møen's evidence based on Norwegian wages with the effects of industry‐specific R&D intensities on the earnings profile in US manufacturing industries. By investigating whether industry R&D affects the return to experience and/or to tenure this study addresses an overlooked issue of which type of skills R&D allows workers to accumulate.