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Wei-Hung Chen
Department of Information Management, Yuan Ze University, Taoyuan City 32003, Taiwan

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Journal article
Published: 20 January 2021 in Sustainability
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In the digital economy era, small service business struggle to compete in a rapidly changing and dynamic market. Therefore, through digital transformation (DT), small service business seek to increase their competitive advantage, improve business performance, and achieve business growth. Having limited resources and capabilities, small service business must deal with several barriers and challenges. This study aims to discover the barriers, and the roles of government, for digital transformation in small service business. This study applied a qualitative approach involving semi-structured in-depth interviews with top management of small service business. Then, we employed the content analysis method to examine interview data and construct a model. This research reveals four main barriers to digital transformation in small service business: lack of funding, lack of digital capability, lack of human resources, and technical barriers. We found there are four government roles for supporting digital transformation in small service business: build a digital platform for small service business, promote mobile/digital payment, provide digital training, and build a digital collaboration ecosystem. Additionally, based on this study’s findings, a model for barriers and government support of digital transformation in small service business is presented. This study contributes to the conceptual framework and management implications in the digital transformation field. The study’s findings provide insights to practitioners and suggest that the government could alter the current policies and programs to support digital transformation in small service business.

ACS Style

Chun-Liang Chen; Yao-Chin Lin; Wei-Hung Chen; Cheng-Fu Chao; Henry Pandia. Role of Government to Enhance Digital Transformation in Small Service Business. Sustainability 2021, 13, 1028 .

AMA Style

Chun-Liang Chen, Yao-Chin Lin, Wei-Hung Chen, Cheng-Fu Chao, Henry Pandia. Role of Government to Enhance Digital Transformation in Small Service Business. Sustainability. 2021; 13 (3):1028.

Chicago/Turabian Style

Chun-Liang Chen; Yao-Chin Lin; Wei-Hung Chen; Cheng-Fu Chao; Henry Pandia. 2021. "Role of Government to Enhance Digital Transformation in Small Service Business." Sustainability 13, no. 3: 1028.

Journal article
Published: 03 August 2020 in Sustainability
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Micro-enterprises are critical to the national economy in many countries, although they have many limitations. Therefore, governments have proposed many policies and programs to generate and enhance micro-enterprises’ growth to assure national economies’ growth and sustainability. This study evolves an index to evaluate growth in science and technological innovation among micro-enterprises that participated in collaborative innovation through a counselling program. The results not only define growth indicators through a literature review but also examine evidence of growth among 10 micro-enterprises through interviewing subjects located in various regions in Taiwan and related to different industries. This study uses multiple case study methods and data statistics to verify growth indicators; this reveals that micro-enterprises focusing on collaborative technological innovation demonstrated an increasing trend toward this study’s chosen growth indicators in a majority of cases. According to the survey results, nine indicators lead to positive growth. Finally, after establishing growth assessment indicators, the data collected from an empirical investigation proves the indicators’ credibility. The study then discusses the chosen cases’ experiences with growth and presents managerial implications.

ACS Style

Yao-Chin Lin; Chun Liang Chen; Cheng-Fu Chao; Wei-Hung Chen; Henry Pandia. The Study of Evaluation Index of Growth Evaluation of Science and Technological Innovation Micro-Enterprises. Sustainability 2020, 12, 6233 .

AMA Style

Yao-Chin Lin, Chun Liang Chen, Cheng-Fu Chao, Wei-Hung Chen, Henry Pandia. The Study of Evaluation Index of Growth Evaluation of Science and Technological Innovation Micro-Enterprises. Sustainability. 2020; 12 (15):6233.

Chicago/Turabian Style

Yao-Chin Lin; Chun Liang Chen; Cheng-Fu Chao; Wei-Hung Chen; Henry Pandia. 2020. "The Study of Evaluation Index of Growth Evaluation of Science and Technological Innovation Micro-Enterprises." Sustainability 12, no. 15: 6233.

Journal article
Published: 01 July 2020 in Sustainability
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This study explores big data gathered from motor production lines to gain a better understanding of production line issues. Motor products from Solen Electric Company’s motor production lines were used to predict failure points based on big data analytics, where 3606 datapoints from the company’s testing equipment were statistically analyzed. The current study focused on secondary data and expert interview results to further define the relevant statistical dimensions. Only 14 of the original 88 detection parameters were required for monitoring the production line. The relationships between these parameters and the relevant motor components were established to indicate how an abnormal reading may be interpreted to quickly resolve an issue. Thus, a theoretical model for the monitoring of the motor production line was proposed. Further implications and practical suggestions are also offered to improve the production lines. This study explores big data analysis and smart manufacturing and demonstrates the promise of these technologies in improving production line efficiency and reducing waste to promote sustainable production goals. Big data thus constitute the core technology for advancing production lines into Industry 4.0 and promoting industry sustainability.

ACS Style

Yao-Chin Lin; Ching-Chuan Yeh; Wei-Hung Chen; Wei-Chun Liu; Jyun-Jie Wang. The Use of Big Data for Sustainable Development in Motor Production Line Issues. Sustainability 2020, 12, 5323 .

AMA Style

Yao-Chin Lin, Ching-Chuan Yeh, Wei-Hung Chen, Wei-Chun Liu, Jyun-Jie Wang. The Use of Big Data for Sustainable Development in Motor Production Line Issues. Sustainability. 2020; 12 (13):5323.

Chicago/Turabian Style

Yao-Chin Lin; Ching-Chuan Yeh; Wei-Hung Chen; Wei-Chun Liu; Jyun-Jie Wang. 2020. "The Use of Big Data for Sustainable Development in Motor Production Line Issues." Sustainability 12, no. 13: 5323.

Journal article
Published: 03 May 2020 in Processes
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In this study, the factors that affect the implementation of intelligent systems in motor production lines are analyzed. A motor production line located in Vietnam is used as the research object. The research methods include secondary data collection, field study, and interviews. This study demonstrates the following: firstly, the implementation of intelligent systems in motor production lines is heading toward Industry 4.0. Secondly, it is proposed that three functional systems—robot arm, image recognition, and big data analysis—can be introduced in the motor production line. This study analyzes the process involved in coil and motor production lines and attempts to combine intelligent system functions. It is expected that in the future, manpower will be reduced, production line productivity will increase, and intelligent production lines will be proposed. The factors that affect the introduction of intelligent systems in motor production lines are improved, and the importance of intelligent systems, which has been rarely considered in previous studies, is highlighted. In the implementation criteria of the intelligent system in the process management of the motor production line, this study provides some suggestions (to coil and motor assembly line) for the production process management. These suggestions can be provided as a reference for production lines that acquaint with intelligent systems.

ACS Style

Yao-Chin Lin; Ching-Chuan Yeh; Wei-Hung Chen; Kai-Yen Hsu. Implementation Criteria for Intelligent Systems in Motor Production Line Process Management. Processes 2020, 8, 537 .

AMA Style

Yao-Chin Lin, Ching-Chuan Yeh, Wei-Hung Chen, Kai-Yen Hsu. Implementation Criteria for Intelligent Systems in Motor Production Line Process Management. Processes. 2020; 8 (5):537.

Chicago/Turabian Style

Yao-Chin Lin; Ching-Chuan Yeh; Wei-Hung Chen; Kai-Yen Hsu. 2020. "Implementation Criteria for Intelligent Systems in Motor Production Line Process Management." Processes 8, no. 5: 537.