Influencing factors and improvement paths of manufacturing innovation performance: Configuration analysis based on TOE framework

Ma, Youcai; Cui, Zhaobing

doi:10.1371/journal.pone.0294630

Cited by 2 publications

(1 citation statement)

References 66 publications

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“…Fuzzy-set QCA is a method that combines qualitative and quantitative assessments to ascertain the extent to which a case belongs to a particular category [ 60 ]. This methodology provides flexibility and uncovers combinations of factors/elements that traditional variance-based methods may fail to consider [ 61 ].…”

Section: Methodsmentioning

confidence: 99%

Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach

Islam,

Abdul Kader Jilani,

Karim

2024

PLoS ONE

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This study aims to enhance the post-training evaluation of the annual performance agreement (APA) training organized by the Bangladesh Public Administration Training Centre (BPATC), the apex training institute for civil servants. Utilizing fuzzy-set qualitative comparative analysis (fsQCA) and artificial neural network (ANN) techniques within Kirkpatrick’s four-stage model framework, data were collected from a self-administered questionnaire survey of 71 in-service civil servants who participated in the APA training program. This study employs an asymmetric, non-linear model analyzed through a configurational approach and ANN to explore interrelationships among the four Kirkpatrick levels namely, reaction, learning, behavior, and results. Findings indicate that trainees were satisfied across all levels, identifying a non-linear relationship among these levels in post-training evaluation process. The research highlights that "learning skills" are most significant in the APA post-training evaluation, followed by behavior, results, and reaction. Theoretically, this research advances Kirkpatrick’s model and adds to the literature on public service post-training evaluation. Practically, it recommends prioritizing strategies that address cognitive barriers to enhance training effectiveness. This study’s innovative approach lies in its concurrent use of fsQCA and ANN methods to analyze the success or failure of APA-related trainees, offering alternative pathways to desired outcomes and contrasting traditional quantitative methods that provide a single solution. The findings have practical implications for public service training institutions and bureaucratic policymakers involved in capacity development, guiding the creation of more effective in-service training courses for public officials. The methodology and analysis can be applied in other contexts, allowing bureaucratic policymakers to replicate these findings in their learning institutes to identify unique configurations that lead to successful or unsuccessful training outcomes, adopt effective strategies, and avoid detrimental ones.

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Section: Methodsmentioning

confidence: 99%

Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach

Islam,

Abdul Kader Jilani,

Karim

2024

PLoS ONE

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Research on Promoting the Upgrading Path Development of the Equipment Manufacturing Industry by Using Information Technology

Bai

2024

International Journal of Decision Support System Technology

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This paper firstly examines the development history of China's equipment manufacturing industry and the research status quo of domestic and foreign information technology upgrading of equipment manufacturing industry, then gives the definition of information technology and equipment manufacturing industry upgrading, clearly points out the shortcomings of China's information technology development and analyses the mechanism of information technology upgrading of equipment manufacturing industry, and finally explores two paths for the upgrading of production equipment and upgrading of production processes, and gives differentiated solutions for regional development imbalance of the boosting path gives a differentiated programme. This paper provides theoretical references for the development of this field in China by exploring specific paths on the basis of the research on the mechanism of information technology's facilitating effect on the equipment manufacturing industry at home and abroad.

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Influencing factors and improvement paths of manufacturing innovation performance: Configuration analysis based on TOE framework

Cited by 2 publications

References 66 publications

Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach

Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach

Research on Promoting the Upgrading Path Development of the Equipment Manufacturing Industry by Using Information Technology

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