Small-scale businesses have long been recognized as an important part of economic development and integrating them with industrial parks is both recommended and necessary for long-term success. In line of this, the objective of this study was to investigate the role of IPs entrepreneurial ecosystem in boosting the capabilities of small businesses. Data were collected from 245 small manufacturing business owners via simple random sampling and analysed using multivariate regression analysis. Thus, the ability of small enterprises is positively impacted by the presence of a more robust and appropriate entrepreneurial ecosystem. Similarly, a firm’s resource capabilities are more impacted by the entrepreneurial ecosystem when there is a better link between academia and industry. Furthermore, entrepreneurial skills are found to play a mediating role between the entrepreneurial ecosystem and firms’ technological capabilities. Another finding revealed that managerial expertise significantly mediates entrepreneurial ecosystems and firms’ resource capabilities. This finding suggested that the policymakers, better to formulate policies that encourages small businesses to engage in the industrial parks which results in an inclusive firm’s performance.

Since the proposal of the low-carbon economy plan, all countries have deeply realized that the economic model of high energy and high emission poses a threat to human life. Therefore, in order to enable the economy to have a longer-term development and comply with international low-carbon policies, enterprises need to speed up the transformation from a high-carbon to a low-carbon economy. Unfortunately, due to the massive volume of data, developing a low-carbon economic enterprise management model might be challenging, and there is no way to get more precise forecast data. This study tackles the challenge of developing a low-carbon enterprise management mode based on the grey digital paradigm, with the aim of finding solutions to these issues. This paper adopts the method of grey digital model, analyzes the strategy of the enterprise to build the model, and makes a comparative experiment on the accuracy and performance of the model in this paper. The results show that the values of MAPE, MSE and MAE of the model in this paper are the lowest. And the r^2 of the model in this paper is also the highest. The MAPE value of the model in this paper is 0.275, the MSE is 0.001, and the MAE is 0.003. These three indicators are much lower than other models, indicating that the model has high prediction accuracy. r² is 0.9997, which is much higher than other models, indicating that the performance of this model is superior. With the support of this model, the efficiency of building an enterprise model has been effectively improved. As a result, developing an enterprise management model for the low-carbon economy based on the gray numerical model can offer businesses new perspectives into how to quicken the shift to the low-carbon economy.

Malaysia’s economic development strategies have evolved significantly since independence, focusing on reducing poverty, enhancing education, and integrating technology to foster sustainable growth. Despite substantial progress, challenges persist in achieving inclusive development across rural and urban sectors. This study examines the effectiveness of Malaysia’s New Economic Model (NEM) in addressing poverty and unemployment through technological and educational advancements. Employing a qualitative approach, it reviews literature on technology’s impact on economic growth, poverty alleviation, and the role of tertiary education in national development. Analysis reveals that while NEM initiatives have attracted foreign investment and improved infrastructure, gaps remain in educational access and technological self-reliance. The findings underscore the need for targeted policies that enhance educational outcomes, promote inclusive technology adoption, and address structural inequalities to achieve sustainable economic development. Recommendations include bolstering vocational training, enhancing rural infrastructure, and fostering public-private partnerships in technology innovation to ensure equitable economic progress.

Resilient marketing in hotel enterprises is a research area that has not been systematically explored. This study is based on the 4Ps theory to conduct a systematic theoretical study of resilient marketing in hotel enterprises and promote the application of resilient marketing in hotel enterprises. Data were collected from Chinese hotel employees (n = 501) through an online survey. Data were analysed using SPSS and AMOS software. confirmatory factor analysis (CFA) combined with structural equation modelling (SEM) was used to explore hotel employees’ perceptions of resilient marketing in hotel companies. The findings suggest that the concept of resilient marketing, constructed through the four dimensions of resilient products, resilient prices, resilient price, and resilient promotions, is better able to help hotel enterprises withstand crises. This study contributes to understanding how Chinese hotel enterprises use the concept of resilient marketing to withstand crises, such as positively adapting to market changes, collaboratively responding to market competition, and resisting and reversing crises situation. It has important theoretical value and practical significance for constructing a theory of resilient marketing for hotel enterprises, promoting the practical development of resilient marketing for hotel enterprises.

This article discusses one of the problems of using digital technologies, namely the complexity of assessing the effectiveness of their implementation. Since the use of digital twins at the enterprises of the fuel and energy complex (FEC) has recently become relevant, the authors have chosen the digital twins technology for consideration in this article. For the successful implementation of digital technologies, the authors propose a system of evaluation indicators that will measure the effectiveness of Digital Twins implementation and determine the benefits obtained. The advantages of digital twins include improved management and monitoring, optimization of production processes, prediction of equipment failures, as well as reduced maintenance costs and increased overall efficiency of FEC systems. As a methodological basis for the study, authors use the system of balanced indicators proposed by R. Kaplan and D. Norton, which served as the basis for the development of a set of performance indicators of the fuel and energy complex enterprise with the introduction of digital twins. As a result of the study, a list of indicators for monitoring the effectiveness of digital twins implementation was determined. The study identifies performance indicators for digital twin implementation, with future research aimed at quantitative assessments. The enterprise can implement a digital twin system with a WACC of 10.99%, payback period of 8.06 years, IRR exceeding the discount rate by 9.07%, a 3.5% reduction in harmful emissions, and a 2.5% efficiency increase.

With the rising global consumer demand for green and healthy food, the tea industry is facing unprecedented competitive pressure. Therefore, how to build tea enterprises with sustainable competitiveness has become a key issue facing the industry. This paper firstly reviews the concept of traceability systems and their evolution and, based on the theory of enterprise competitive advantage, explores the influence mechanism of traceability as a strategic resource on the long-term competitiveness of tea enterprises; secondly, it analyzes the multi-dimensional role of traceability on enterprise competitiveness from five aspects, namely, quality and safety control and guarantee, brand image shaping and trust construction, market dynamics response and consumer feedback, risk response and product recall, as well as technological innovation and efficiency enhancement; finally, combined with the above analysis, this paper constructs a theoretical framework for the competitiveness of tea enterprises, integrates the impact of traceability in different dimensions, and proposes a multi-level competitiveness enhancement model. Through this framework, tea enterprises can more comprehensively understand and grasp the close relationship between traceability and the long-term competitive advantage of enterprises and then make strategic adjustments according to their own actual situation so as to realize sustainable competitiveness enhancement in the future market competition.