In recent years, the principle of sustainability has received increasing attention in corporate governance, and corporate sustainability is usually achieved through organizational innovation. The purpose of this study is to identify the factors that are critical for companies to influence organizational innovation when promoting Industry 4.0. Our research analyzes the relationship between these factors and Industry 4.0, human resources, and corporate sustainability to investigate organizational innovation and its formative factors against the backdrop of the new industrial era. Integrating partial least squares-structured equation modeling (PLS-SEM), bootstrapping, and other methods, we discover that for companies focusing on promoting Industry 4.0, the most important organizational innovation that affects sustainability is influenced by customer orientation, organizational culture, and leadership style in descending order of influence. Meanwhile, knowledge integration capability (KIC) is more important than knowledge absorptivity. It indicates that in the promotion of Industry 4.0, the trend of sustainability led by the leaders is fading, and the customer-driven trend will become more and more obvious in the future.
Industry 4.0 can enhance the operational efficiency of the supply chain, but the current research mainly focuses on analytics and smart things. Many companies integrate their organizations more closely with data by adopting Industry 4.0, but this study found that some companies have changed their leadership, organizational, and customer relationships through the adoption of CPS. Industry 4.0 is a socio-technical system that should be explored in terms of management practices, employee feedback, and the cause-and-effect relationship between them. This study proposes a modeling framework using the Su-field analysis of TRIZ method (Theory of Inventive Problem Solving) and applies the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to investigate the relationship between leadership, organizational culture, and service management in the Taiwan industry. The results show that the data analysis, CPS, IoT, and intelligent technologies of Industry 4.0 can facilitate connections within the value chain and increase agility in response to environmental changes. Companies must have a good organizational culture and provide the right incentives to gain the organizational commitment of their employees to implement Industry 4.0.
Infographics can present a large number of information or concepts to audiences in the form of text, images and flowcharts. The motivation of this study is from the interdisciplinary cooperation. We hope to combine infographics with community services, so we choose the local community child as the object of the interactive model. We suggested the theme of a traditional Taiwanese snack: Braised pork on rice, and developed the recipe flow design with information visualization. The development process can be divided into six steps: ideation, menu source, sketching, process design, review and modification, and conversion using digital design tools. The research result and development process can be used as an information graph teaching and infographics design application reference.
Industry 4.0 is a term that is receiving the attention of governments and industries. Its core concept involves Cyber-Physical Systems (CPS), cloud computing, the Internet of Things (IoT), big data, lean management, smart machinery, etc. Despite serious regard by academia and businesses, current industrial research is primarily focused on engineering concepts and the integration of automatic controls; studies which discuss the relationship between industry and labor are rare. Taiwan’s youth population is in decline, and its economy is evolving accordingly. While research continues to lean toward the development of electronics and semi-conductor based industries, young workers are under motivated to enter traditional industries resulting in a detrimental lack of workforce in production-based industries. Faced with an Industry 4.0 transition, businesses confronted with the need for labor face more than the acquisition of professional skills, as personal traits and job competency are becoming key personal features that prompt continued employment. The intention of this research was to investigate the suitability of the work model of employees of a certain industry to meet the developmental direction of Industry 4.0, and the industry of choice was the plastics manufacturing machinery. Twenty-five respondents were selected from the plastics manufacturing machinery industry to participate in this research. The research applies the Delphi methods, streamlining 134 competences down to a list of 39 for analysis and sorted three categories by Q-methodology. The result of the study proposes several new directions for the application of competence to improve business performance in industry.