Developing Industry 4.0 with systems perspectives

Hou, Tao; Cheng, Baihua; Wang, Rongxiao; Xue, Wei; Chaudhry, Peggy E.

doi:10.1002/sres.2715

Cited by 16 publications

(8 citation statements)

References 34 publications

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“…What is more, Oliveira et al (2020) argued that this internal perspective of complexity with respect to adapting Industry 4.0 must be extended, as the implementation process interacts with external factors such as economic growth and human capital. Hou et al (2020) argued that these different elements of complexity inherent to Industry 4.0 must interact seamlessly to achieve a successful implementation process. In a similar vein, Da Xu (2020) views Industry 4.0 through the systems of systems lens, showing that there are multiple layer of complexity interacting within the system of Industry 4.0.…”

Section: Systems Thinking and The Implementation Of Industry 40mentioning

confidence: 99%

Exploring the relationships between Industry 4.0 implementation factors through systems thinking and network analysis

Hoyer

Gunawan

Reaiche³

2023

Syst Res Behav Sci

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Industry 4.0 provides companies with the technological and theoretical means to enhance data-driven decision-making procedures. To facilitate the transformation process, several studies have identified factors that need to be considered when implementing Industry 4.0 on a broader level. However, the dynamic relationship between these factors has yet to be understood to provide companies with the in-depth knowledge needed to effectively manage the transition. The principal aim of our research is therefore to map out the complex relationships between the identified factors, by adapting a novel approach that combines network analysis and causal loop diagrams. Results show that the roles of implementation factors are not static, and what role they play depends on their position in the network, complementing the findings of previous investigations about the drivers of change. Furthermore, our findings indicate that multiple intervention points exist, shedding more light on how to develop effective implementation strategies.

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Section: Systems Thinking and The Implementation Of Industry 40mentioning

confidence: 99%

Exploring the relationships between Industry 4.0 implementation factors through systems thinking and network analysis

Hoyer

Gunawan

Reaiche³

2023

Syst Res Behav Sci

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“…Industry 4.0 aims to change lifestyles, create new business and manufacturing models, update industrial structures based on environmental protection and control, increase resource use efficiency, encourage intelligent and flexible processes, and promote modern technology (de Sousa Jabbour et al, 2018;Müller and Voigt, 2018;Lin et al, 2019). Across multiple sectors, industries struggle to adapt to emerging models based 10.3389/fpsyg.2022.999345 on technological advances with industry 4.0 resulting from the normal competitive phenomenon in the economic development cycle, with many firms grappling with intelligence and digital transformation (Hou et al, 2020;Zhou et al, 2020).…”

Section: Regional Economic Developmentmentioning

confidence: 99%

Dialects, motivation, and English proficiency: Empirical evidence from China

Marjerison

Yang

2022

Front. Psychol.

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Within the context of China, this study seeks to examine the relationship between English language proficiency, the native dialect of the learner, and the learner’s reason, or motivation for learning English. English language proficiency can be an important vehicle for accessing high quality higher education, for interacting with non-Chinese, and for enhancing employment and career opportunities Data was gathered through an online survey with 985 usable responses recorded. Respondents included a distribution of speakers from five of the major distinct dialects of China. The analysis provides empirical evidence of a diversity of propensities and motivations for English language acquisition among learners from different regions and native dialects. Access to international higher education as a type of motivation is found to have a moderating effect on English proficiency. Other findings suggest that learners in regions with more historic exposure to foreign interaction are more likely to be motivated for social reasons, those from regions with export focused commerce will be motivated for business related reasons. The results of this study may be of interest to policy makers, linguists, educators, and those with an interest in socioeconomic sustainability through language acquisition and education as a method of socioeconomic mobility.

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“…Research on intelligent education At present, the core research content of intelligent education is the application of AI technology in the field of education, such as machine learning and deep learning, which mainly includes three aspects: research on the construction of intelligent learning environments, research on intelligent teaching supported by intelligent technology and research on personalised learning supported by intelligent technology (Song and Wang, 2020). Intelligent teaching environment construction research focuses on infrastructures (Hou et al, 2020), such as cloud-based environments (Bajaj and Sharma, 2018;Stoica et al, 2018), IoT (Anttila and Jussila, 2018;Chi et al, 2018), smart classrooms (Huang et al, 2019;Saini and Goel, 2019) and an intelligent library (Asemi et al, 2020). Intelligent teaching research focuses on how intelligent technologies enhance traditional teaching methods, such as mobile and web application-based multimedia teaching systems (El Janati et al, 2018;Kim et al, 2018;Robles and Quintero, 2020;Suswanto et al, 2017), and virtual reality or augmented reality technologies (Andaluz et al, 2019;Jiang and Zeng, 2019;Wang, 2020).…”

Section: Related Studiesmentioning

confidence: 99%

Comparative study on intelligent education research among countries based on bibliographic coupling analysis

2021

LHT

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PurposeThe continuous development of information technology leads to intelligent education research. In the context of internationalisation, the study aims to understand the relevant research status worldwide, research similarities and differences that need to be discovered, and research frontiers that need to be explored.Design/methodology/approachWeb of Science (WoS) core collection was used as the data source, descriptive statistical analysis, geographic data visualisation and coupling analysis are used to reveal coupling relationships, present a cooperative situation and discover research frontiers.FindingsIntelligent education research has been widely carried out in countries around the world, and there is extensive scientific research cooperation. According to coupling analysis results, the coupling strength of bibliographic between countries has been continuously improved, while the coupling strength of keywords has remained balanced, and there is standardisation and diversity of research.Research limitations/implicationsThe weakness of the research lies in the limitations of the data sources. Important research achievements on a certain topic in many non-English speaking countries are usually published in native journals. In the future research direction, more coupling analysis objects can be carried out, such as focussing on authors and institutions.Practical implicationsThrough the coupling analysis of country bibliographic and keywords, it reveals the consistency and divergence of intelligent education research between different countries at different time spans.Originality/valueDesign and implement country bibliographic coupling (CBC) and country keyword coupling (CKC) strength indicators to calculate the strength of coupling between countries.

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Developing Industry 4.0 with systems perspectives

Cited by 16 publications

References 34 publications

Exploring the relationships between Industry 4.0 implementation factors through systems thinking and network analysis

Exploring the relationships between Industry 4.0 implementation factors through systems thinking and network analysis

Dialects, motivation, and English proficiency: Empirical evidence from China

Comparative study on intelligent education research among countries based on bibliographic coupling analysis

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