How to facilitate manufacturing industry learning from problems: a review on advanced technology problem-solving

被引:0
|
作者
Mohlin, Alice [1 ]
机构
[1] Jonkoping Univ, Sch Engn, Dept Supply Chain & Operat Management, Jonkoping, Sweden
关键词
Problem-solving; Advanced technology; Organizational learning; Scoping review; Manufacturing industry; ARTIFICIAL-INTELLIGENCE; AI;
D O I
10.1108/JWL-01-2023-0008
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Purpose - The purpose of this paper is twofold: to identify and map contemporary research on advanced technology implementations for problem-solving purposes in the manufacturing industry, and to further understand the organizational learning possibilities of advanced technology problem-solving in the manufacturing industry. Design/methodology/approach - This paper outlines a scoping review of contemporary research on the subject. The findings of the review are discussed in the light of theories of contradicting learning logics. Findings - This paper shows that contemporary research on the subject is characterized by technological determinism and strong solution-focus. A discussion on the manufacturing industries' contextual reasons for this in relation to contradicting learning logics shows that a Mode-2 problem-solving approach could facilitate further learning and expand knowledge on advanced technology problem-solving in the manufacturing industry. A research agenda with six propositions is provided. Originality/value - The introduction of advanced technology implies complex effects on the manufacturing industry in general, while previous research shows a clear focus on technological aspects of this transformation. This paper provides value by providing novel knowledge on the relationship between advanced technology, problem-solving and organizational learning in the manufacturing industry.
引用
收藏
页码:470 / 489
页数:20
相关论文
共 14 条