Impact of Strategy Change on Business Process Management

Bubenik, Peter; Čapek, Juraj; Rakyta, Miroslav; Biňasová, Vladimíra; Štaffenová, Katarína

doi:10.20944/preprints202207.0433.v1

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…Digital technology profoundly influences the world technology, people's lifestyles, and the transformation of the world economy, and also drives the implementation of digital strategies adapted to current trends. First, the emergence of digital technologies provides a reliable repository for developing digital innovations, communications, computers, and other areas [1]. Secondly, digitalization has fundamentally changed human productive activities and created an unprecedented way of life: digital existence.…”

Section: Introductionmentioning

confidence: 99%

Practical Application of Big Data Statistical Analysis Method for Enterprise Economic Management in Digital Era

Gao,

Yang

2023

ICST Transactions on Scalable Information Systems

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INTRODUCTION: Today's world has entered the digital era, and big data is flooding people's lives, with more industry development and big data between the deep connections. Digital technology, as a representative of advanced technology globally, influences the global economic pattern. In the digital era and the background of rapid economic growth, there is a deeper integration between economics and management. Financial management work occupies an essential position in the development of enterprises and has an irreplaceable role in improving the economic efficiency of enterprises.OBJECTIVES: Relying on digital technology under the extensive data statistical analysis method combines the advantages of big data technology and statistics. Its application for enterprise economic management can explore the law of enterprise management and operation to promote the improvement of management efficiency and the healthy development of enterprises.METHODS: In the context of the digital era, the six representative methods of extensive data statistical analysis methods are introduced, and then their practical application in enterprise economic management is studied, respectively, from five aspects to discuss the application of extensive data statistical analysis methods for enterprise financial management.RESULTS: Big data statistical analysis can provide information support for improving the level of enterprise economic management, promote the benign development of enterprises, and enhance the competitiveness of enterprises in the market.CONCLUSION: To strengthen the application of extensive data statistical analysis methods in enterprise economic management, its insights and measures that can provide valuable reference and help for the healthy development of enterprises.

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Section: Introductionmentioning

confidence: 99%

Practical Application of Big Data Statistical Analysis Method for Enterprise Economic Management in Digital Era

Gao,

Yang

2023

ICST Transactions on Scalable Information Systems

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Moderating Effect of Business Environmental Dynamism in the Innovativeness—Company Performance Relationship of Congolese Manufacturing Companies

2023

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Research has shown that innovativeness is a key factor in business performance. However, the link between innovativeness and organisational performance and the role of environmental dynamism are still being debated. This study thus sought to analyse the moderating effect of the dynamism of the business environment in the relationship between innovativeness and performance of manufacturing companies. In order to do this, a questionnaire was distributed to 344 owners and managers of manufacturing companies operating in the north-eastern Democratic Republic of Congo. One hundred and seventy-eight of these questionnaires were returned and used to test the study’s hypotheses. The study used an ordinary least squares (OLS) regression under the hierarchical regression analysis approach. The results confirm the positive and significant effect of innovativeness on company performance. On the other hand, results indicate that business environmental dynamism has a direct positive and significant effect on company performance. However, the dynamism of the business environment negatively influences the relationship between innovativeness and company performance. Based on these results, recommendations and further research perspectives are suggested.

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Modular Intelligent Control System in the Pre-Assembly Stage

Micieta,

Macek,

Binasova

et al. 2024

Electronics

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This paper presents a novel approach to developing fully automated intelligent control systems for use within production-based organizations, with a specific focus on advancing research into intelligent production systems. This analysis underscores a prevailing deficiency in control operations preceding assembly, where single-purpose control machines are commonly utilized, thus presenting inherent limitations. Conversely, while accurate multipurpose measurement centers exist, they often fail to deliver comprehensive quality control for manufactured parts due to cost and time constraints associated with the measuring process. The primary aim in this study was to develop an intelligent modular control system capable of overseeing the production of diverse components effectively. The modular intelligent control system is designed to meticulously monitor the quality of each module during the pre-assembly phase. By integrating sophisticated sensors, diagnostic tools, and intelligent control mechanisms, this system ensures precise control over module production processes. It facilitates the monitoring of multiple parameters and critical quality features, while integrated sensors and diagnostic methods promptly identify discrepancies and inaccuracies, enabling the swift diagnosis of issues within specific modules. The system’s intelligent control algorithms optimize production processes and ensure synchronization among individual modules, thereby ensuring consistent quality and performance. Notably, the implementation of this solution reduces inspection time by an average of 40 to 60% compared to manual inspection methods. Moreover, the system enables the comprehensive archiving of measurement data, eliminating the substantial error rates introduced by human involvement in the inspection process. Furthermore, the system enhances overall project efficiency, predictability, and safety, while allowing for rapid adjustments in order to meet standards and requirements. This innovative approach represents a significant advancement in intelligent control systems for use in production organizations, offering substantial benefits in terms of efficiency, accuracy, and adaptability.

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Impact of Strategy Change on Business Process Management

Cited by 4 publications

References 9 publications

Practical Application of Big Data Statistical Analysis Method for Enterprise Economic Management in Digital Era

Practical Application of Big Data Statistical Analysis Method for Enterprise Economic Management in Digital Era

Moderating Effect of Business Environmental Dynamism in the Innovativeness—Company Performance Relationship of Congolese Manufacturing Companies

Modular Intelligent Control System in the Pre-Assembly Stage

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