Earticle

초록

영어

The adoption of manufacturing big data system (MBDS) is anticipated to enhance the competitiveness of small and medium-sized manufacturing firms (SMMFs), as massive amount of big data proliferate in the field of manufacturing industries. Several professionals argue that it is necessary to take an attentive approach in designing appropriate MBDS for SMMFs. This study examines appropriate design options, based on the information design theory, product-service system theory, and contingency theory, which would elevate the adoption probability of MBDS of Korean SMMFs. An empirical analysis of 191 Korean SMMFs reveals the following results. First, SMMFs put similar degree of importance on the entire design attributes of MBDS from big data gathering to information visualization. Second, SMMFs prefer payment per use of low-cost MBDS that provides more simplified information (e.g., on-spot monitoring and 2 dimension visualization) and utilizes open cloud as well as open telecommunication network. However, the firms want to have an independent and sophisticated MBDS that includes real-time data processing and specialized visualization software tool. Third, the utility scores of design options of MBDS are different according to SMMFs’ generic characteristics such as manufacturing type, firm’s size, and IT capability.

목차

Abstract
1. Introduction
2. Theoretical Background
2.1. Manufacturing big data system
2.2. The Effect of Contingent Factors
3. Methodology
3.1. Sample
3.2. Measurement of variables
4. Analysis Results
5. Conclusion
References
Appendix

키워드

저자

• Ji-Dae Kim [ Chungbuk National University ]
• Su-Young Chi [ Electronics and Telecommunications Research Institute ]
• Kwan-Hee Yoo [ Chungbuk National University ]
• Wan-Sup Cho [ Chungbuk National University ]
• Young-Wook Song [ Chungbuk National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  정보화연구 [정보화연구(구 정보기술아키텍처연구)]

• 간기

  계간

• pISSN

  1738-382X

• 수록기간

  2004~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658