Knowledge Mapping Analysis of Manufacturing Product Innovation Based on CiteSpace

Abstract

Manufacturing product innovation is increasingly showing a green, low-carbon, systematic ecological innovation development trend. In this paper, using CiteSpace analysis method and assisted by BICOMB2 software, the literature of CNKI (1992–2019) and WOS (1995–2019) database was analyzed to construct the knowledge mapping of manufacturing product innovation, and the research findings were as follows: (i) The research is mainly concentrated in China, the United States, the United Kingdom, Germany and other countries. The number of Chinese scholars’ research is the largest, but the American scholars’ research is the first in novelty and prospective, and its sigma value is as high as 294.17. (ii) In recent years, Shanghai Jiaotong University, Xi’an University of Technology, Hunan University and other research institutions have recently produced more research results on product innovation. Among them, Shanghai Jiaotong University can be ranked first. (ii) “Green product innovation” and “product innovation performance” can continue to be the hot spots for future manufacturing product innovation and development.

Scientometric and multidimensional contents analysis of PM2.5 concentration prediction

“…These methods provide a comprehensive overview of any changes that have occurred. Meanwhile, parameters such as Burst and Sigma are applied to keyword co-occurrence analysis, to indicate influential hot research areas [ 37 ]. A higher Sigma value indicates a distinguish combined structural and emergent performance of the keyword in the network [ 38 ].…”

Research on Product Innovation Intention Analysis System Model Based on Computational Thinking

“…Although the confidence of association rule 3 is lower than that of association rule 5, the lift of association rule 3 is higher than that of association rule 5. Before and after association rule 3, there is a promoting relations between the innovation demand item sets, while before and after association rule 5, there is a restraining relationship (3) relations � apriori(demand, min_support � s, min_confidence � t) (4) for relation in relations: (5) support � round(relation.support, m) (6) for regulation in relation.ordered_statistics: (7) front � list(regulation.items_base) (8) back � list(regulation.items_add) (9) if front � � []: (10) continue (11) related_list � str(front)+"⟶"+str(back) (12) confidence � round(regulation.confidence, r) (13) lift � round(regulation.lift, g) (14) print(related_list, support, confidence, lift) ALGORITHM 1: Innovation intention analysis model coding. between the innovation demand item sets.…”

“…According to the definitions of frequent sets and association rules, we can find the solution formulas of the number U of nonempty frequent item sets and the number V of association rules, where x represents the number of items. e number of items in Table 3 (1) from apyori import apriori (2) demand � [["a1," "a2," a3," "b1," "c2," "c3"], ["a2," "a5," "b3," "c1," "c2," "c3"], ["a1," "a5," "b3," "b5," "c2," "c3"], ["a1," "a5," "b1", "b5," "c1"]] (4) relations � apriori(demand, min_support � 0.2, min_confidence � 0.3) (5) for relation in relations: (6) support � round(relation.support, 3) (7) for regulation in relation.ordered_statistics: (8) front � list(regulation.items_base) (9) back � list(regulation.items_add) (10) if front � � []: (11) continue (12) related_list � str(front)+"⟶"+str(back) (13) confidence � round(regulation.confidence, 3) ( 14) lift � round(regulation.lift, 3) (15) print(related_list, support, confidence, lift) ALGORITHM 2: Innovation intention analysis model coding operation simulation. ["c2," "c3," "b3," "a5," "a2"] ⟶ ["c1"] 0.25 1 2 1896…”

“…erefore, product innovation is a strategy for enterprises to deal with market competition [4]. By analyzing the relationship between demand and supply, Aoki and Yoshikawa [5] and others concluded that product innovation can create new demand and maintain or promote economic growth [6]. Greenwood and Uysal [7], Garcia-Torres [8], and Giuliani et al [9] also carried out research on product innovation and economic growth from di erent perspectives and applied di erent research methods, and the research results also con rmed the promotion of product innovation to economic growth from di erent aspects.…”