This study explores the high-quality development of Chinese logistics small and medium enterprises (SMEs) by examining the impact of digital technology adoption, organizational resilience, exploratory innovation, and environmental uncertainty. The research investigates how digital transformation enhances operational efficiency, adaptability, and competitiveness while assessing the mediating role of exploratory innovation in linking technology adoption and resilience to enterprise success. Additionally, the study evaluates the moderating effect of environmental uncertainty on these relationships. A survey was conducted among 340 logistics professionals and SMEs operating within China's supply chain sector, focusing on their digital transformation efforts, resilience strategies, and innovation-driven business models. The hypotheses were tested using descriptive analysis in SPSS and structural equation modeling (SEM) in SmartPLS-4. The findings indicate that digital technology adoption and organizational resilience significantly enhance high-quality enterprise development, with exploratory innovation playing a crucial mediating role. Moreover, environmental uncertainty moderates the relationship between digital adoption and innovation, highlighting the need for adaptability in dynamic markets. This study contributes to the existing literature by integrating digital adoption, resilience, and innovation within a unified framework, particularly in the context of Chinese logistics SMEs. The results emphasize the importance of reducing digital adoption barriers, strengthening organizational resilience, and leveraging innovation to enhance long-term sustainability. Policymakers and industry stakeholders are encouraged to implement supportive trade policies, financial incentives, and technological investments to optimize the performance of Chinese logistics SMEs in an increasingly competitive environment.

This study aims to analyze the impact of environmental uncertainty and Incoterm on strategic alliances and competitive advantage in the Freight Forwarder Industry in Indonesia. The measuring method examines how variables, including environmental uncertainty, Incoterm, and strategic alliances, affect competitive advantage using SmartPLS technology and structural equation modeling (SEM) analysis. The questionnaire was created using a 5-point Likert scale. Through a simple random selection procedure, study participants selected freight forwarder companies. Validity, reliability, and significance tests—often along with hypothesis testing—are all included in the sequential data analysis. The study has identified the following relationships based on an evaluation of the data processing: Strategic alliances are positively impacted by environmental uncertainty, Incoterm is positively affected by environmental uncertainty, Incoterm is positively influenced by competitive advantage, and strategic alliances are positively affected by competitive advantage. The novelty of this study is the influence of environmental uncertainty and Incoterm on Strategic alliance and competitive advantage in the Freight Forwarder Industry in Indonesia. The theoretical implication supports previous theories on environmental uncertainty and Incoterm to increase competitive advantage through strategic alliances. The practical implication is for the management of a Freight forwarding company to scan the uncertainty of the logistics environment and implement the selection of the right Incoterm to encourage strategic alliances to encourage competitive advantage. This research makes a significant contribution to the advancement of scientific principles, particularly within the field of strategic management. Furthermore, it provides a valuable reference and comparative material for future studies focusing on the impact of environmental uncertainty and Incoterm on strategic alliances and competitive advantage within the freight forwarder industry in Indonesia.

The main objective of the study was to test the relationship between the uncertainty of supply chain, employee commitment and product quality with the mediating role of supply chain integration. The uniqueness of the study is that it focused on the mediating role of supply chain integration in the automobile sector of United Arab Emirates (UAE). This research is quantitative in nature. For the analysis, structural equation modelling is used. The population of the present research is the employees working in the automobile sector of UAE. A Likert scale questionnaire was used to support this study. The questionnaire was distributed among 481 respondents by using simple random sampling. The usable response rate was 66.66%. The findings of the study confirmed the direct relationship between supply chain integration, product quality, employee commitment and environmental uncertainty. This study fills the gap of limited studies regarding supply chain integration in the UAE automobile sector. The findings of the study are also helpful for policymakers in developing automobile strategies.

Prior research in several industries, particularly manufacturing industries, has confirmed the use of supply chain integration (SCI) to achieve green innovation (GI). Despite this, there has been very little research into the effects of SCI on the GI of manufacturing businesses. As a result, the current study was carried out to close this gap in the literature. Data from 231 manufacturing businesses in Jordan was used to validate a framework of several hypotheses about the relationships involving SCI and GI. SCI (customer integration (CI) and supplier integration (SI) have beneficial benefits on the green product and process innovation (GPDI & GPRI), according to the results of structural equation modeling. SI's effects on green products and process innovation are moderated by environmental unpredictability. The effects of CI on green product innovation are being moderated by environmental unpredictability. Environmental uncertainty, on the other hand, does not moderate the impacts of CI on green process innovation. This research adds to our knowledge of the SCI-GI link.

A value chain plays a crucial role in increasing production efficiency due to business uncertainty and high competition between business entities. Of these, the business must carry out the activities effectively and efficiently to achieve maximum profit. However, the study that focuses on the moderating role of the value chain in its relationship to firm performance is still limited. Thus, the present study aims to examine the effect of intellectual capital and environmental uncertainty toward firm performance and the mediating role of the value chain in the relationship between intellectual capital and environmental uncertainty to firm performance. This study was designed using a quantitative approach through an online survey. A total of 207 staff from non-financial state-owned enterprises consists of 10 clusters and 76 companies. The data were analyzed using the Structural Equation Modeling with Partial Least Square method (SEM-PLS) and assisted by statistical software, namely SmartPLS 3.3.3. The result indicated that intellectual capital and environmental uncertainty have a significant effect on firm performance. Also, this study found that a value chain moderates the relationship of intellectual capital and environmental uncertainty toward firm performance. In conclusion, this study has successfully examined the effect of intellectual capital and environmental uncertainty on firm performance—also, the role of a value chain in the relationship of studied variables. In addition, the findings of this study showed that a value chain is an important tool for companies to improve their business performance.

This study examines the impact of environmental uncertainty and integrative strategy on growth of firm performance through the mediating role of the Business Model Transformation (BMT) strategy of information communication technology (ICT) in Indonesia. The research data was collected from the executive management of ICT through survey research with 30 questionnaire surveys and exploratory study with seven company leaders through in-depth interviews. This study analyzes the suitability of the overall model through causal relationships using Partial Least Square-Path Modeling (PLS-PM). The results show that the BMT predominantly influences the growth of ICT companies. The BMT is predominantly built by the environmental uncertainty (ET) strategy rather than by integrative capability. Thus, companies need to improve their ability and creativity to anticipate and adapt to any uncertainty that unexpectedly results in dynamic competition.

This study aims to find empirical evidence regarding the factors that affect the quality of information systems and the quality of supply chain management as seen from the environmental uncertainty of the organizational structure and the distribution network competence in manufacturing companies in Medan, Indonesia. The research method used is quantitative and verification that aims to determine the relationship between variables through a hypothesis testing. The data used are primary data using a questionnaire aimed at functional managers of marketing managers and production managers with a Likert scale. The study uses a sampling technique through a census of the entire population as a unit of analysis as many as 206 managers spread across 103 manufacturing companies in the city of Medan. Data analysis was performed through multiple linear regression analysis. The results showed that environmental uncertainty, organizational structure, and distribution network competence partially and simultaneously affected the quality of supply chain management information systems in manufacturing companies.

This study aimed to develop a conceptual model of the mediating role of management accounting system (Broadscope) and organizational culture on the influence of mutual dependency and environmental uncertainty on managerial performance. The sample was 126 managers of Swamitra Palm Oil Plantation in Riau. The entire population was sampled. The data were processed using Structural Equation Modeling Partial Least Square (SEM PLS). The findings in this study are mutual dependency and environmental uncertainty have a positive influence on managerial performance, organizational culture mediates the influence of environmental uncertainty on managerial performance, meanwhile management accounting system (Broadscope) does not mediate the influence of mutual dependency on managerial performance.

Managerial accounting tools are vital controlling techniques to businesses. Nevertheless, the acceptance of managerial accounting tools in business might challenge directors in Tra Vinh’s business environment. The current research employed multiple regression analyses to investigate the influence of the acceptance of managerial accounting tools in Tra Vinh’s enterprises. The empirical findings demonstrate the usefulness of managerial accounting tools, environmental uncertainty, the structure of corporate governance, organizational interdependence and organizational size have positive impacts on the acceptance of managerial accounting tools in business. The structure of corporate governance and the usefulness of managerial accounting tools are the two strongest factors determining the acceptance of managerial accounting tools in business. The current research will help directors in Tra Vinh’s enterprises establish efficient managerial accounting tools in business that are suitable to the usefulness of managerial accounting tools, environmental uncertainty, the structure of corporate governance, organizational interdependence, and organizational size, so that they can gain the best possible effectiveness.

This study aimed to investigate the perceptions and understanding of manufacturing industry managers in Indonesia in an effort to measure the effectiveness of management accounting changes, especially under the conditions of environmental uncertainty. In this study, a research questionnaire was used, and was sent directly to the respondents through surveyors and email to 389 manufacturing companies. The sampling technique was simple random sampling. Statistical techniques were based on Confirmatory Factor Analysis and descriptive analysis, namely mean and mode. The results of this study provide a theoretical contribution that the success of management accounting practices is caused by the application of the right organizational structure and strategy within the company. The areas of expertise, commitment, participation, and existing human resources are well managed in accordance with the company's vision and mission. It is expected that the company's management would be able to deal with environmental changes in improving its performance by changing management accounting practices.