Research Hotspots and Frontiers of Product R&D Management under the Background of the Digital Intelligence Era—Bibliometrics Based on Citespace and Histcite

Abstract

The rise of “cloud-computing, mobile-Internet, Internet of things, big-data, and smart-data” digital technology has brought a subversive revolution to enterprises and consumers’ traditional patterns. Product research and development has become the main battlefield of enterprise competition, facing an environment where challenges and opportunities coexist. Regarding the concepts and methods of product R&D projects, the domestic start was later than the international ones, and many domestic companies have also used successful foreign cases as benchmarks to innovate their management methods in practice. “Workers must first sharpen their tools if they want to do their jobs well”. This article will start from the relevant concepts of product R&D projects and summarize current R&D management ideas and methods. We combined the bibliometric analysis software Histcite and Citespace to sort out the content of domestic and foreign literature and explore the changing trends of research hotspots. Finally, combined with the analysis of confirmed cases in domestic masters and doctoral dissertations to test the theory, the literature review of the product R&D project management theme was carried out from the dual perspectives of comprehensive theory and practice. This study uses the core collection library of Web of Science as the object of document extraction. Based on the search conditions of “Product development” or “Intergrat* product development”, 8998 sample documents were initially retrieved. The search deadline was June 2019, with a time range from 2000 to June 2019. Then, using the record number of 50 as the critical condition, 5007 analysis samples were deleted, refined, and cleaned. Through the review and measurement of 5007 papers, the analysis showed that: (1) in the last ten years, sustainability, consumer focus, new approaches to product development management, and organizational design have become critical considerations in the product development process stage; (2) at this stage, researchers are paying more attention to the innovation, design, product development, identification, simultaneous engineering, consequence, and stage/gate model aspects of product development; and (3) factors such as long development cycles, high costs, and poor organizational design are now common problems in the product development process.

Research Progress of Green Marketing in Sustainable Consumption based on CiteSpace Analysis

“…CiteSpace is easy to operate and solves the problems of those methods: it provides visualized interpretations to help us explore the knowledge structure and depicts the correlations among factors and the evolutions of the research domain (Liu, Ma et al, 2021;Liu, Luo et al, 2021;Wang et al, 2021). In detail, there are some other advantages of CiteSpace: (1) by classifying clusters of the data, it can point out knowledge bases, networks, hotspots, tendencies of research fields visually, providing insights for future research;…”

“…CiteSpace is easy to operate and solves the problems of those methods: it provides visualized interpretations to help us explore the knowledge structure and depicts the correlations among factors and the evolutions of the research domain (Liu, Ma et al, 2021; Liu, Luo et al, 2021; Wang et al, 2021). In detail, there are some other advantages of CiteSpace: (1) by classifying clusters of the data, it can point out knowledge bases, networks, hotspots, tendencies of research fields visually, providing insights for future research; (2) it can analyze the correlations of networks from various perspectives such as authors, countries, cited journals, and cited authors; (3) it analyzes results quantitatively, which is more suitable to analyze a large number of publications in a limited time with convincing results compared with qualitative analysis methods; (4) it is easy to download and free to use, and the time to process data is comparatively tiny, enhancing the research efficiency greatly (Wu et al, 2020; Zhang et al, 2021).…”

Scientometric Insights of Digital Twins in Industry 4.0

“…The dataset underwent preprocessing, involving the removal of duplicates, standardization of document metadata, and validation of relevance to DT technology in education. Subsequently, the preprocessed dataset was analyzed using CiteSpace, which generated visualizations depicting citation networks and co-citation patterns [61]. Cluster analysis was conducted to identify cohesive groups of documents within the dataset, each representing a distinct research topic or subfield within the broader domain of DT technology in education.…”

Bibliometric Analysis of the L2 Writing Journal

“…Researchers often rely on content or citation analysis as a bibliometric method (Ellegaard & Wallin, 2015). Its quantitative output mainly includes the number of publications, researchers, and vocabulary items (Liu et al, 2021).…”