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The purpose of this paper is to help China's science and technology (abbr. as S&T) managers and related policy makers to allocate S&T human resources, optimize organizational systems of laboratories, design and plan some grant projects, and manage other S&T‐related work in the field of nanoscience and nanotechnology, by measuring and mapping of technology‐fields correlation, with nanotechnology as an example.

Methodologies such as co‐occurrence analysis, correlation analysis, multidimensional scaling (abbr. as MDS) analysis, dendrogram (tree‐like) analysis, etc. are employed to measure and map technology‐fields correlation.

It is found that the exact relevance degree of any two technology‐fields exists among the top 33 technology‐fields with high frequencies. There are three industrial clusters in Multidimentional Scaling View, that is, nanotechnology used in bio‐medical industry, nanotechnology used in new material industry and nanotechnology used in electronic industry. Hierarchy of any two technology‐fields can be found out in the dendrogram view of the top 33 technology‐fields.

This paper could be of great significance to China's S&T managers and related policy makers, especially in the area of nanotechnology, in selecting and managing generic technology and the findings in this paper can be applied in some other fields of science and technology management in China. Both technology‐fields correlation analysis and MDS and dendrogram view analysis could benefit China's policy makers in managing nanotechnology research and development activities.

Amid rapid technological progress, the construction industry is embracing Construction 4.0, redefining work practices through emerging technologies. However, the implications of Construction 4.0 technologies to enhancing well-being are still poorly understood. Particularly, the challenge lies in selecting technologies that critically contribute to well-being enhancement. Therefore, this study aims to evaluate the implications of Construction 4.0 technologies to enhancing well-being.

A list of Construction 4.0 technologies was identified from a national strategic plan on Construction 4.0, using Malaysia as a case study. Fourteen construction industry experts were selected to evaluate the implications of Construction 4.0 technologies on well-being using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The expert judgment was measured using linguistic variables that were transformed into fuzzy values. Then, the collected data was analyzed using the following analyses: fuzzy TOPSIS, Pareto, normalization, sensitivity, ranking performance and correlation.

Six Construction 4.0 technologies are critical to enhancing well-being: cloud & real-time collaboration, big data & predictive analytics, Internet of Things, building information modeling, autonomous construction and augmented reality & virtualization. In addition, artificial intelligence and advanced building materials are recommended to be implemented simultaneously as a very strong correlation exists between them.

The novelty of this study lies in a comprehensive understanding of the implications of Construction 4.0 technologies to enhancing well-being. The findings can assist researchers, industry practitioners and policymakers in making well-informed decisions to select Construction 4.0 technologies when targeting the enhancement of the overall well-being of the local construction industry.

The digitisation of various parts of society is developing at an increasingly rapid rate, which effects the way people receive services and how familiar they are with new innovations and technological challenges in educational environments. The future members of society must be prepared to participate in the creation of new innovative solutions as well as to support the process of knowledge creation. Despite the fact that rapid development of technologies requires society to immediately respond, even under these circumstances society must be able to make meaningful decisions. These processes put on the forefront of competence have the ability to predict the unpredictable, which means that the educational environment must to a certain extent be able to predict what has not yet existed and cannot be verified. However, it must at the same time involve specialists from different fields who must deal with technologies and technological solutions that have not been tested or proven consistent in the long run, measure their impact and predict what services are up to date and what technologies and skills are required. This section examines the conditions for technology-enhanced learning (TEL) in a higher education (HE) context to understand what technologies and digital solutions have traditionally been used as well as the role of educators in driving TEL. The aim of the research is to conduct a pilot study to identify the most recent trends in the use of technologies in HE, identify the future research directions, predict the future directions of development and collect and analyse the obtained data.

The purpose of this paper is to examine various technological innovation influencers (TIIs) in small manufacturing firms. It introduces a study framework of technological innovation and evaluates the relevance of four TIIs to building and sustaining the competitiveness of Indian firms.

This research is based on an in-depth survey of 135 firms located in India’s Northern region. Multiple regression analysis was employed to examine the correlation between TIIs and manufacturing firm performance (MFP) for these firms.

The findings verify that entrepreneurial capability, technology infrastructure capability and government initiatives are the most important TIIs for small firms. The findings are also validated by using statistical t-test and canonical correlation analysis.

This study uses a single informant as the source of information on each firm. The study is limited to small-scale firms in the Northern region of India. Also, the study has been conducted excluding the service sector.

Recent studies have advocated various TIIs and discussed their impact on MFP. This paper examines the determinants of technological innovation in small manufacturing firms. It introduces a study framework of technological innovation and examines the relevance of four TIIs to building and sustaining the competitiveness of Indian firms.

This paper to examine the relationship between performance expectancy and behavioural intention to use mobile-based communication technologies for agricultural market information dissemination in Uganda.

A descriptive field survey method was adopted. A total of 302 commercial farmers and agribusiness traders in Eastern Uganda participated in the study from whom data were collected using self-administered questionnaires. Descriptive statistics, factor analysis, correlation and regression analyses were used in the study.

The findings reveal a significant positive relationship between performance expectancy and behavioural intentions to use mobile-based communication technologies for agricultural information access and dissemination. This implies that, commercial farmers’ behavioural intentions to use mobile-based communication technologies for agricultural market information dissemination and access will be influenced if they anticipate mobile-based communication technologies to offer greater performance in their daily transactions.

This study was conducted in the context of resource constrained countries particularly in sub-Saharan Africa, however reflecting knowledge from other contexts. The study was conducted with a structured questionnaire being the main data collection tool, and this limited the study from collecting views outside the questions asked in the questionnaire. The variables studied could not be analysed for a long time, given that the study was cross-sectional in nature.

The study provides recommendations on how to further boost farmers’ behavioural intentions to use mobile-based communication technologies for agricultural information dissemination. Policy makers need to ensure that policies are put in place that encourage third party software developers and telecommunication companies to provide software products and solutions that are beneficial to the commercial farmers and can enable them complete their agricultural transactions in time.

The study provides critical literature on the influence of performance expectancy on commercial farmers’ behavioural intentions to use mobile-based communication technologies for agricultural market information access and dissemination in resource constrained settings.

It is noted that farmers in Uganda are slowly progressing to newer mobile information and communication technology tools for market information access and dissemination; however, little is known as to why there is slow adoption of these mobile technologies for agricultural purposes; yet policy makers need to come up with proper strategies to encourage wide scale use of mobile technologies for agricultural market purposes.

Reports the results of a UK company survey on the strategic and operational autonomy of team leaders working on new product development (NPD). The data are based on returns from 194 manufacturing companies and were completed by either the director of R&D or a member of the board with overall responsibility for the management of NPD project team leaders. The management of NPD project team leaders was classified into task variables (six strategic and seven operational) and a member of top management was asked to rate on a seven‐point Likert scale the extent to which each task was the autonomous responsibility of the team leader as opposed to the responsibility of other managers. Subdivides the sample into high technology and low‐to‐medium technology companies and analyses the strategic and operational management of NPD team leaders according to the company′s performance (measured by annual sales turnover) and its market environment, using four measures of the market environment: product life cycle, market growth rate, market share and R&D spending on new product development. Finds annual sales turnover to be the most important and closely associated variable with high amounts of autonomy granted to team leaders working on new product development. In medium‐to‐low technology companies, the market growth rate and R&D spending are additional, significantly associated variables. Concludes that UK companies reduce their top management controls in order to facilitate the autonomy of NPD team leaders when company sales turnover is high. Additionally, it is arguable from the evidence of the data that medium‐to‐low technology companies are more influenced by recent market performance than are high technology companies because, in addition to sales, they facilitate more autonomy according to market growth rate, market share and R&D spending.

In order to more accurately predict the dynamics of the e-commerce market and increase the comprehensive value of the circular e-commerce industry, proposes to use Grey system theory to analyze the circular economy of the e-commerce market.

Construct a Grey system theory model, analyze the big data of e-commerce and circular economy of the e-commerce market and predict the development potential of China's e-commerce market.

The results show that the Grey system theory model can play an important role in the data analysis of circular economy of the e-commerce market.

Use Grey model to analyze e-commerce data, discover e-commerce market rules and problems and then optimize e-commerce market.

In 2013, Chinese president Xi Jinping proposed the concept of “One Belt and One Road” economic cooperation. “The Belt and Road Initiative (B&R)” is the short of “The Silk Road Economic Belt” and the “21st-century Maritime Silk Road,” which has got a series of remarkable achievements and worldwide attentions in past five years such as Asian Infrastructure Investment Bank, China–Pakistan Economic Corridor, B&R Forum for International Cooperation, etc. Especially, cross-border EC has greatly strengthened the trade links between countries along the way, which is a rare chance for Chinese Export-oriented Cross-border EC’s rapid growth. Thus, the authors take DHgate.com as a typical example to do a big data analysis. This chapter analyzes vast data from 2013 to 2017 about seven kinds of commodities including Fashion accessories, Jewelry, Sports & Outdoors, Security & Surveillances, Car accessories, Watches, and Hair & Styling by using data mining related software and algorithms. The authors do some monthly sale charts and find a few counter-intuitive but useful conclusions such as by taking association analysis, the study shows that sports products and jewelry products have strong association rules. In addition, for potential products (such as Fashion accessories and Jewelry), although their sales have a certain shock, the overall selling line keep rising. It is possible to put forward some practical suggestions for Chinese Export-oriented Cross-border EC that actively respond to the One Belt One Road Initiative based on these analysis results.

The purpose of this paper is to describe the first National Technology Roadmap (NTRM) of China, compiled by the Ministry of Science and Technology in 2007, in accordance with the analytical framework of “national needs‐strategic tasks‐key technologies‐development priorities,” and to comment upon its progress.

The technology foresight in 2003‐2006 was organized by the Chinese Ministry of Science and Technology. Based on two large rounds of Delphi investigations involving 1,400 experts and a SWOT analysis of every candidate technology, the key technologies were selected and the characteristics of them acquired. A large number of panels were organized to discuss and affirm the national needs and strategic tasks, so the logic relationships among the key items of NTRM could be clarified.

Five national needs, 30 strategic tasks, and 90 key technologies were promoted, and their relationships constructed. The characteristics of all the 90 technologies, including their R&D basis, gap between their level and the levels of advanced countries, and the possible time needed to realize these technologies were evaluated. The NTRM of China was successfully formulated.

Only nine technology fields were considered in the Delphi investigations, because of the limited study conditions. This might become the limitation to the application of this NTRM. In further study, more technology fields should be involved and all the processes finished as soon as possible.

The results of the NTRM were partly adopted by the 11th science and technology plan of China. Through the progress of NTRM, agreements concerning the key technologies and their development roadmaps were made. Both the NTRM and its compiling process provide important reference points for scientific and technological managers, scientists, and entrepreneurs, because they will help to make better decisions and contribute greatly to the research and development of the technologies.

This is the first attempt in China to make a NTRM. Results from the large‐scale Delphi investigations were taken as the basis for the roadmapping. The model of “national needs‐strategic tasks‐key technologies‐development priorities” was promoted and the technology roadmapping at a national level was conducted successfully.