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The purpose of this paper is to investigate the effect of original equipment manufacturing (OEM) suppliers’ electronic integration with global customers on their capability widening, following the literature on electronic integration, firm innovativeness, product modularity and dynamic capabilities. It also examines the moderating roles of supplier innovativeness and product modularity in the proposed relationship.

This study conducts empirical examination on a sample of OEM suppliers in Taiwan. It collects 201 self-reported responses via mailed surveys of 1,069 electronics companies listed in the 5000 Largest Firms in Taiwan, and the archival data are obtained from the Taiwan Economic Journal database.

The results show that electronic integration with global customers affects capability widening negatively, whereas supplier innovativeness affects capability widening positively. In addition, product modularity plays a moderating role in the relationship between electronic integration and capability widening.

This study contributes to the electronic integration literature by providing empirical evidences on how OEM suppliers’ electronic integration affects their capability widening. This study also adds to the supply chain management literature by demonstrating the relationship between OEM suppliers’ innovativeness and their move into higher value-added activities, as well as how product modularity interplays with electronic integration between customers and suppliers on suppliers’ capability widening in global supplier‒customer relationships.

For OEM suppliers with a low level of product modularity, they may widen their capabilities by exploring other value-added activities (e.g. original design manufacturing or original brand manufacturing). For OEM suppliers with a high level of product modularity, the improvement of their manufacturing capabilities is a helpful approach to create competitive advantage.

This study is one of the first to examine the interplay between electronic integration and product modularity on capability widening of OEM suppliers from an emerging market. Meanwhile, this study provides support for the relationship between supplier innovativeness and innovative activities in the global supply chain context.

The purpose of this paper is to review possibilities of implementing ceramic additive manufacturing (AM) into electronic device production, which can enable great new possibilities.

A short introduction into additive techniques is included, as well as primary characterization of structuring capabilities, dielectric performance and applicability in the electronic manufacturing process.

Ceramic stereolithography (SLA) is suitable for microchannel manufacturing, even using a relatively inexpensive system. This method is suitable for implementation into the electronic manufacturing process; however, a search for better materials is desired, especially for improved dielectric parameters, lowered sintering temperature and decreased porosity.

Relatively inexpensive ceramic SLA, which is now available, could make ceramic electronics, currently restricted to specific applications, more available.

Ceramic AM is in the beginning phase of implementation in electronic technology, and only a few reports are currently available, the most significant of which is mentioned in this paper.

This paper aims to examine the different impacts of six variables on firm technological innovation performance in different high-tech industries in China. Through a comparative analysis of data about growth enterprises market board (GEM)-listed companies, this study attempts to get some conclusions, to help firms in different high-tech industries use resources more rationally and to improve technological innovation performance more effectively.

This paper constructs semi-parametric models based on the relevant data of GEM-listed companies during 2010 to 2015 for different high-tech industries. These models can ensure that the influencing factors of firm technological innovation performance are no longer restricted to a particular aspect but can provide a comprehensive comparative analysis of the effects of factors on firm technological innovation performance in different high-tech industries.

The empirical results show that R&D expenditures have a significant positive impact on firm technological innovation performance in most high-tech industries, but not in electronic and communication equipment manufacturing industry; R&D personnel investment and government subsidies have significant positive impacts on firm technological innovation performance in knowledge-oriented industries; technology diversity has a significant positive impact on firm technological innovation performance in technology-oriented industries; the proportion of exports shows an inverted U-shaped relationship with firm technological innovation performance in electronic and communication equipment manufacturing industry, while firm size shows an inverted U-shaped relationship with firm technological innovation performance in general equipment manufacturing industry; and the effect of semi-parametric model fit is superior to the general parameters model.

Drawing on the resource dependence perspective, this paper is the first to consider a comprehensive treatment of differential effects of internal resources (R&D personnel, R&D expenditure), external resources (government subsides) and firm characteristics (firm size, export ratio) on firm technological innovation performance in different high-tech industries in an emerging country, in particular in contrast to previous studies that have focused on a single industry or taken the type of industry as a control variable. In addition, most studies about the determinants of firm innovation performance are based on survey questionnaires, which may introduce large subjective errors. Setting the relationship between variables in advance may also introduce fit error when using a general-parameter model. Semi-parametric regression which is used in this paper is able to prevent this shortcoming effectively. When constructing a regression model, this can be exempted from the formal constraints, thus estimating data more accurately and ensuring superior fit.

Examines the logistics environment and the manufacturing logistics strategy in Hong Kong, based on six case studies. The manufacturing structure of Hong Kong industry is identified. The following logistics strategies adopted by Hong Kong companies are discussed: market intelligence, sourcing, front‐end activities, manufacturing distribution, back‐end activities, vertical integration, ethnic network, free market, and information technology. The logistics related environmental factors that are taken into consideration include geographical location, telecommunication infrastructure, finance infrastructure, air transportation infrastructure, sea transportation infrastructure, road transportation infrastructure, professional services, culture, and information technology. A framework of environment‐strategy (E‐S) fit is developed in the perspectives of Hong Kong manufacturing logistics. The factors contributing to the manufacturing success in Hong Kong are also discussed.

The purpose of this paper is to investigate supply chain management practices related to flexibility, value chain and capabilities. It describes an exploratory study to examine the interrelated factors to propose a research framework.

A comparative case study was conducted on several manufacturing organizations in the electrical and electronic industry, investigating the business drivers and response effect of a flexible value chain.

In general, all the organizations enhanced their manufacturing flexibility components with supply and logistic networks in order to be responsive to customers and gain tangible benefits. The core flexibility of the value chain can be defined from operational, supply and logistics perspectives where different levels of integration and implementation strategies offer different levels of flexibility response to volume and product mix.

Research through case survey requires further empirical investigation to quantify the determinants and the significance of the relationship theorized. However, the findings confirmed the practical aspect of manufacturers to consider flexibility in designing their value chain within the industry.

The paper highlights the fact that local manufacturers value the flexibility aspect of supply chains to stay competitive during demand uncertainties and being responsive to customers.

The purpose of this study is to formulate supplier integration strategy with the aim to eliminate Ohno's manufacturing wastes and empirically examines its influence on lean manufacturing adoption in electronic‐enabled manufacturing supply chains (EMSC).

The proposed theoretical model is tested with the survey data obtained from 558 manufacturers in 17 countries which is stratified into two groups of small/large firms for measuring the significance of measurements.

The influential factors comprising the supplier integration strategy, i.e. information sharing, e‐business systems and policy‐based supplier selection, have positive influence on the long‐term lean manufacturing adoption in small‐ and medium‐sized firms. Besides, the results reveal that manufacturers may commit ongoing use of lean manufacturing only if it has been using regularly.

The study is conducted from the stand point of a manufacturing firm. Hence, the constructs are not appropriate for distributors and retailers. Besides, the concepts measured in the study can only be generalized to small‐ and medium‐sized firms.

Implementing supply strategy in practice requires the collaboration of manufacturers and suppliers, and manufacturers are in better position to select the suppliers in favor to the implementation of lean manufacturing in EMSC. Also, small manufacturers tend to adopt lean manufacturing along with relevant supplier integration tactics due to having less complex organizational structure.

There is a scarcity of papers that study the impact of supplier integration on lean manufacturing through combining practitioner's lean implementation methodology and academia's decision theory. This paper is beneficial to manufacturers who intend to revise their e‐supply strategy in coping with sustainable imitative in recessionary time.

E-waste management can reduce relevant impact of the business activity without affecting reliability, quality or performance. Statistical process monitoring is an effective way for managing reliability and quality to devices in manufacturing processes. This paper proposes an approach for monitoring the proportion of e-waste devices based on Beta regression model and particle swarm optimization. A statistical process monitoring scheme integrating residual useful life techniques for efficient monitoring of e-waste components or equipment was developed.

An approach integrating regression method and particle swarm optimization algorithm was developed for increasing the accuracy of regression model estimates. The control chart tools were used for monitoring the proportion of e-waste devices from fault detection of electronic devices in manufacturing process.

The results showed that the proposed statistical process monitoring was an excellent reliability and quality scheme for monitoring the proportion of e-waste devices in toner manufacturing process. The optimized regression model estimates showed a significant influence of the process variables for both individually injection rate and toner treads and the interactions between injection rate, toner treads, viscosity and density.

This research is different from others by providing an approach for modeling and monitoring the proportion of e-waste devices. Statistical process monitoring can be used to monitor waste product in manufacturing. Besides, the key contribution in this study is to develop different models for fault detection and identify any change point in the manufacturing process. The optimized model used can be replicated to other Electronic Industry and allows support of a satisfactory e-waste management.

This paper aims to explore true technical efficiency in order to select the most competitive manufacturing industries in China. And the paper intends to discuss how environmental variables measured by energy consumption affect performance in different industrial sectors under the restriction of low-carbon economy.

In order to measure the calculated efficiency of industrial sectors more accurately, Three-stage DEA model is presented in the empirical analysis using data from 2007 to 2010 covering 29 manufacturing industries in China. The advantage of using this method is enabling us to separate the managerial factor from external environmental factors and random errors factors on the technical efficiency.

The results using this Three-stage DEA model show that textile manufacturing sector has the highest technical efficiency, and when environment variables are not considered, efficiencies in machinery and electronics manufacturing industries have a significant increase. Moreover, this empirical model enables us to evaluate the technical performance in various manufacturing sectors more accurately.

This study provides a useful efficiency measurement tool (Three-stage DEA model) to calculate technical efficiency among different industrial sectors. Technical efficiency plays a key role in building the competitiveness of manufacturing industry. Based on the objective efficiency evaluation, the paper can make a better selection of the most competitive industries.

The paper contributes to the existing literature by developing a Three-stage DEA to examine the technical efficiency and competitive power of manufacturing sectors in China. This study has great policy implications for the research of China's manufacturing in both ideas and methodology.

The economic growth of Pacific Asian countries in the last three decades is unmatched elsewhere. Financial muscle in Tokyo, Hong Kong and Singapore is comparable to that in New York, London and Frankfurt. Electronics has been one of the industries favoured by this region of poor natural resources but rich in well‐trained manpower. Fuelled by desire and strong financial backing, Pacific Asia is now responsible for 70% of the world output of consumer electronic products. Malaysia is becoming a central focus for IC assembly and the manufacture of consumer electronic goods. Singapore is the disc drive manufacturing centre of the world. Taiwan accounts for 10% of the world PC production. Hong Kong may be a model for future China when the British colony is returned to China in June 1997. Korea is becoming a power house in IC memory. Japan is a threat to the United States in every industrial field imaginable. In this paper, the author will examine the status today and in the year 2000 and beyond of Asian electronics with a special emphasis on the Asian PWB industry which already accounts for 45% of the world production. In addition to production and market assessment, technologies and manufacturing costs will be studied in comparison with the rest of the world.

Firm growth in industry clusters is a complex issue. On the one hand, industrial clusters can promote firm growth. On the other hand, they can restrict the growth of a firm in some aspects. Their various effects have to be analyzed in detail. The purpose of this paper is to examine these effects and the law of enterprise growth in electronic information industry clusters of China.

This paper makes use of the panel data of the Chinese manufacturing industry with the intention of testing Gibrat's law. It carries out an empirical analysis on the influence of Chinese electronic information industry clusters on firm growth.

The result of the present research indicates that industry clusters definitely have a positive impact on firm growth, profit and longevity. However, in regard to the firms' data of China 2006 to 2007, the electronic information industry clusters have negative effects on scale of business growth of small and medium‐sized companies but not big companies. Moreover, the innovation of companies inside a cluster could not catch up with that of companies outside the cluster.

For the electronic information enterprises, growth rate is positively correlated with the enterprise age. Gibrat's law is tenable, that is, firm growth mainly depends on firm age. In Chinese electronic information industry clusters, R&D has only a weak influence on enterprise growth. In contrast, the economic soundness of the region where the electronic information industry clusters are located is more beneficial to the growth of enterprises in the cluster.