The impacts of personal traits on knowledge discovery behaviors via mobile SNS

Li, Guozhong; eun-mi, Park; Shunji, Jin

doi:10.1007/s00779-019-01240-1

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…This cutting-edge movement employs Artificial Intelligence (AI): big data, Internet of Things (IoT): Cloud, 5G mobile, blockchain technology, Virtual Reality and Augmented Reality (VR・AR) and hyper-detection sensor technology. Such essential technologies are applied in and connected with pre-existing industries covering robot, automobile, factory and medical service (Li et al, 2019;Park et al, 2019;Park et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

The Effects of Obstructive Factors and Rewards Related to Technological Innovation on Management Performance: Focusing on Chinese Companies

Park¹,

Seo²

2020

RWE

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Background/Objectives: This study empirically analyzed the factors relevant to the effects of Obstructive factor and rewards on Technical performance and Image, management performance.Methods/Statistical analysis: In this study, PLS, a analytic method, was used among other structural equation models. PLS is not structurally strict and helpful in analyzing models at the early phase of developing theories despite incomplete models. This study conducted online survey among Chinese companies.Findings: Rewards gave positive effects on technological performance and images. Furthermore, technological performance showed the same effects on images and performance. Images gave the same effects on business performance.Improvements/Applications: This study demonstrated the important relationship between obstructive factors and rewards, technical performance and image, which will serve as a guideline for further management performance.

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Section: Introductionmentioning

confidence: 99%

The Effects of Obstructive Factors and Rewards Related to Technological Innovation on Management Performance: Focusing on Chinese Companies

Park¹,

Seo²

2020

RWE

Self Cite

View full text Add to dashboard Cite

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“…The paper by Jin et al [1] examines the influence of personal characteristics on knowledge discovery through social media. This study selected knowledge discovery behaviors as parameters based on self-efficacy.…”

mentioning

confidence: 99%