Search results

1 – 10 of over 12000
Article
Publication date: 3 October 2023

Jingyu Cheng, Minxi Wang, Lilin Wu and Xin Li

The purpose of this paper is to explore the high-quality development (HQD) strategy of Chinese mineral resource enterprises, which is important for Chinese mineral resource…

Abstract

Purpose

The purpose of this paper is to explore the high-quality development (HQD) strategy of Chinese mineral resource enterprises, which is important for Chinese mineral resource enterprises to improve the efficiency and benefit of resource utilization, reduce the intensity of resource and energy consumption and gradually form resource-saving and environment-friendly enterprises.

Design/methodology/approach

This study establishes an evaluation index system with four dimensions: economy, environment, society and management innovation. The entropy value method assigns weights to them and then uses the system dynamics (SD) model for case simulation.

Findings

The results of the SD simulation conclude that the fulfillment of social responsibility and the implementation of management innovation can accelerate the realization of HQD of mineral resource enterprises; profitability plays a crucial role in economic indicators; the improvement of energy-saving volume has the most significant impact on environmental benefits; the social contribution is the key element to measure social indicators; and the sales rate of core products has the most significant impact on the benefits of management innovation.

Originality/value

Based on the few studies on the evaluation of the development strategy of mineral resource enterprises, this study establishes an evaluation index system that considers the interactions between indicators, combines the entropy value method with SD and uses the SD model to comprehensively and systematically analyze the impact and degree of each factor on the HQD of mineral resource enterprises.

Details

Chinese Management Studies, vol. 18 no. 3
Type: Research Article
ISSN: 1750-614X

Keywords

Open Access
Article
Publication date: 14 May 2024

Huda Hussain and Marne De Vries

This study aims to investigate the combined use of System Dynamics (SD) applications in Enterprise Engineering (EE) research and practice. SD application in EE is becoming widely…

Abstract

Purpose

This study aims to investigate the combined use of System Dynamics (SD) applications in Enterprise Engineering (EE) research and practice. SD application in EE is becoming widely accepted as a tool to support decision-making processes and for capturing relationships within enterprises.

Design/methodology/approach

A systematic literature review (SLR) is conducted using a standard SLR method to provide a comprehensive review of existing literature. The search was conducted on ten platforms identifying 30 publications which were analysed through the use and development of a codebook.

Findings

The SLR showed that 90% of the result set consisted of peer-reviewed academic conferences and journal papers. The SLR identified a highly dispersed author set of 83 authors. Amongst these authors, Vinay Kulkarni was an active author who has co-authored up to four publications in this research area. The analysis further revealed that the combined use of SD applications and EE is an emerging research area that still needs to develop in maturity. While all phases of EE have received attention, the current research work is more focused on the design phase. The important gap between model development and implementation is identified.

Originality/value

The study elucidates the existing status of interdisciplinary research combining techniques from the SD and EE disciplines, suggesting future research topics that combine the strengths of these existing disciplines.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 13 June 2024

Sulaiman Alsughayer

This study aims to explore the role of successfully implemented enterprise resource planning (ERP) systems by investigating changes in management accounting (MA) and the influence…

Abstract

Purpose

This study aims to explore the role of successfully implemented enterprise resource planning (ERP) systems by investigating changes in management accounting (MA) and the influence of the context of small and medium-sized enterprises (SMEs) on the adoption and implementation process in an emerging market economy, namely, Saudi Arabia.

Design/methodology/approach

A case-study approach was used to review and compare the ERP adoption and implementation process in two Saudi SMEs from different industries for the descriptive analysis and assessment of changes in MA following the adoption of the system and influence of context. Secondary data were analyzed, and semi-structured interviews were conducted to collect data.

Findings

The results indicate that successful ERP implementations support and unify the core business processes and functions and improve analysis, decision-making, reporting and the overall quality of data. Furthermore, the results show that a management accountant's role is widened and shifted from a mere information provider to a business advisor and analyst, enhancing management accounting techniques. The results confirm that ERP implementation is related to the SMEs' technological, organizational and environmental contexts, which must be fully understood to achieve the desired improvements in the management accounting system.

Originality/value

This study contributes to understanding how ERP systems impact MA and management accountants, particularly in SMEs from developing countries, namely, Saudi Arabia. Specifically, to the best of the author’s knowledge, this study is one of the first to use the technology–organization–environment framework and contingency theory to investigate post-ERP implementation changes in SMEs MA in an emerging market economy.

Details

Journal of Accounting & Organizational Change, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1832-5912

Keywords

Article
Publication date: 15 May 2023

Dongsheng Li and Jun Li

Minimizing the impact on the surrounding environment and maximizing the use of production raw materials while ensuring that the relevant processes and services can be delivered…

Abstract

Purpose

Minimizing the impact on the surrounding environment and maximizing the use of production raw materials while ensuring that the relevant processes and services can be delivered within the specified time are the contents of enterprise supply chain management in the green financial system.

Design/methodology/approach

With the continuous development of China's economy and the continuous deepening of the concept of sustainable development, how to further upgrade the enterprise supply chain management is an urgent need to solve. How to maximize the utilization of resources in the supply chain needs to be realized from the whole process of raw material purchase, transportation and processing.

Findings

It was proved that digital twin technology had a partial intermediary role in the role of supply chain big data analysis capability on corporate finance, market, operation and other performance.

Originality/value

This paper focused on describing how digital twin technology could be applied to big data analysis of enterprise supply chain under the green financial system and proved its usability through experiments. The experimental results showed that the indirect effect of the path big data analysis capability digital twin technology enterprise financial performance was 0.378. The indirect effect of the path big data analysis capability digital twin technology enterprise market performance was 0.341. The indirect effect of the path big data analysis capability digital twin technology enterprise operational performance was 0.374.

Details

Kybernetes, vol. 53 no. 2
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 30 August 2024

Mohammad Asif, Mohd Shuaib Siddiqui and Hari Prapan Sharma

The aim of the study is to investigate the factors that influence the adoption of e-procurement by businesses in the specific context of Saudi Arabia.

Abstract

Purpose

The aim of the study is to investigate the factors that influence the adoption of e-procurement by businesses in the specific context of Saudi Arabia.

Design/methodology/approach

This study uses the firm-level data of World Bank Enterprise Surveys 2022 of Saudi Arabia covering 1,573 enterprises. The association between firm characteristics and the adoption of e-procurement by enterprises has been examined through the chi-square test. Further, a logistic regression model has been fitted to estimate the factors affecting adoption of e-procurement.

Findings

About 10 % of the enterprises reported that they adopted e-procurement as the establishment’s main technology to manage procurement and supplier chain by enterprises. A statistically significant association has been found between e-procurement vis-a-vis firm characteristics. Moreover, logistic regression analysis indicated that large and innovative enterprises, with digital presence in terms of website, holding a bank account and access to credit are more likely to adopt e-procurement.

Practical implications

This study offers valuable insights into the factors that influence the adoption of e-procurement by businesses, which helps the supply chain manager to develop and operationalize the digital supply chain through e-procurement in the context of Saudi Arabia.

Originality/value

This paper can provide significant insights for promoters and supply chain managers in Saudi Arabia, who are now focusing on the digital transformation of businesses. By understanding the factors affecting e-procurement by firms, they can smooth the supply chain.

Details

Journal of Science and Technology Policy Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2053-4620

Keywords

Article
Publication date: 2 June 2023

Lina Gozali, Teuku Yuri M. Zagloel, Togar Mangihut Simatupang, Wahyudi Sutopo, Aldy Gunawan, Yun-Chia Liang, Bernardo Nugroho Yahya, Jose Arturo Garza-Reyes, Agustinus Purna Irawan and Yuliani Suseno

This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences…

Abstract

Purpose

This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in business, industry, manufacturing etc.

Design/methodology/approach

The research presented in this work is a qualitative research based on a literature review. Publicly available research publications and reports have been used to create a research foundation, identify the research gaps and develop new analyses from the comparative studies. As the literature review progressed, the scope of the literature search was further narrowed down to the development of SD models. Often, references to certain selected literature have been examined to find other relevant literature. To do so, a supporting tool (that connects related articles) provided by Google Scholar, Scopus, and particular journals has been used.

Findings

The dynamic business and management model is very different from the static business model in complexity, formality, flexibility, capturing, relationships, advantages, innovation model, new goals, updated information, perspective and problem-solving abilities. The initial approach of a static system was applied in the canvas business model, but further developments can be continued with a dynamic system approach.

Research limitations/implications

Based on this study, which shows that businesses are developing more towards digitalisation, wanting the ability to keep up with the era that is moving so fast and the desire to increase profits, an instrument is needed that can help describe the difficulties of the needs and developments of the future world. This instrument, or tool of SD, is also expected to assist in drawing future models and in building a business with complex variables that can be predicted from the beginning.

Practical implications

This study will contribute to the SD study for many business incubator research studies. Many practical in business incubator management to have a benefit how to achieve the business performance management (BPM) in SD review.

Originality/value

The significant differences between static and dynamics to be used for business research and strategic performance management. This comparative study analyses some SD models from many authors worldwide. Their goals behind their strategic business models and encounter for their respective progress.

Article
Publication date: 19 April 2024

Xiaotong Huang, Wentao Zhan, Chaowei Li, Tao Ma and Tao Hong

Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and…

Abstract

Purpose

Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.

Design/methodology/approach

Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.

Findings

Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.

Originality/value

We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 30 November 2023

Shi Yin, Zengying Gao and Tahir Mahmood

The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of…

Abstract

Purpose

The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.

Design/methodology/approach

Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.

Findings

Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.

Originality/value

This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 9 August 2024

Pulok Ranjan Mohanta and Biswajit Mahanty

In this paper, a graph theory-based maturity model to comprehensively assess the Industry 4.0 maturity level by means of a multidimensional Industry 4.0 maturity score (MIMS) is…

Abstract

Purpose

In this paper, a graph theory-based maturity model to comprehensively assess the Industry 4.0 maturity level by means of a multidimensional Industry 4.0 maturity score (MIMS) is proposed.

Design/methodology/approach

The proposed maturity assessment model is based on (1) the identification of the maturity dimensions and assessment parameters from existing literature and expert opinion and (2) the development of the assessment model based on graph theory and matrix-based approach. The illustrative application of the developed model in two case enterprises is also included.

Findings

The model is configured to include six dimensions having 30 constituent attributes. Unlike the case with many of the previously published models, the proposed model does not evaluate the progress in specific Industry 4.0 enabling technologies, rather the assessment parameters are associated with the functional areas.

Practical implications

While the configuration of the proposed model enables a comprehensive maturity assessment, it facilitates the identification of contextual dimensional attributes and assists the enterprises in developing the roadmap for Industry 4.0 implementation aligning to the diverse organizational strategies.

Originality/value

Distinctively, the proposed model apprehends the interdependency between the maturity assessment dimensions and their constituent attributes. Also, the maturity model incorporates the assessment of the maturity in the dimension of inbound and outbound integration. While these two dimensions are crucial in the Industry 4.0 ecosystem, to the best of our knowledge, these are not considered by any of the assessment models published so far.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 19 February 2024

Donglin Chen, Min Fu and Lei Wang

The purpose of this paper is to analyze the symbiotic evolution decisions of digital innovation enterprises, research institutes and the government in the digital innovation…

Abstract

Purpose

The purpose of this paper is to analyze the symbiotic evolution decisions of digital innovation enterprises, research institutes and the government in the digital innovation ecosystem.

Design/methodology/approach

Based on innovation ecosystem theory and an evolutionary game model, this study constructs a tripartite symbiotic evolution game model of digital innovation ecosystems with digital innovation enterprises, research institutes and the government as the main bodies and analyzes the influencing factors as well as the evolution paths of the different behavioral strategies of each subject through numerical simulation.

Findings

The research shows that the digital innovation ecosystem has the characteristic of self-organization, which requires the symbiotic cooperation of each subject. The government plays an active role in any stage of symbiotic evolution, and the system cannot enter symbiosis under a low level of subsidies and penalties. Only when the initial willingness to cooperate of digital innovation enterprises and scientific research institutes is at a medium or high level is the system likely to become symbiotic. While digital innovation enterprises are more sensitive to government subsidies and punishments, scientific research institutes are more sensitive to the distribution proportion of cooperation income.

Originality/value

This study includes government regulation into the research scope, expands the research mode of the digital innovation ecosystem and overcomes the difficulties of empirical research in collecting dynamic large sample data. It vividly and systematically simulates the symbiotic evolution process of the digital innovation ecosystem, which provides a theoretical and practical reference for digital innovation ecosystem governance.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

1 – 10 of over 12000