The present study aims to analyze the influence of environmental uncertainty (ENU) on a firm's environmental management accounting (EMA). Moreover, the current examination is also motivated to empirically investigate the relationship of environmental commitment (ENC), EMA and green innovation (GRI) on firm performance (FPR). The current study is first in studying the joint impact of the studied variables in analyzing small and medium enterprises performance appraisals. In doing so, we applied partial least squares structural equation modeling (PLS-SEM) and the results of this methodology confirm that all selected variables have a positive and significant impact on environmental performance in except ENU. Moreover, the outcomes of the PLS-SEM confirm that ENC has a positive and significant impact on FPR of multinational firms of Indonesia. Moreover, the results further suggested that ENU have a negative and significant impact on FPR. The results of PLS-SEM also confirm that GRI and EMA have significantly and positively impact on FPR. Technical speaking, the results confirm that GRI and ENC are the key contributors to enhance the FPR of Indonesian multinational firms.

Environment degradation is a global issue for which every individual or entity has to play their role. For an organization there are several ways by which their contribution to the environment can be improved. For said purpose, the present study was conducted in which the role of green innovation, environment proactiveness and environment management accounting was studied on environment performance and energy efficiency. Moreover, to meet the goal, the present study employs quantitative research approach where data was collected from 367 respondents and PLS-SEM was employed. The results revealed significant impact of the aforementioned independent constructs on dependent variables. Based on the findings, recommendations were given whereas limitations and barriers of the research and guidelines for the future researches are also discussed.

The adoption of AI is an ongoing phenomenon in today’s economy in all the industries. The purpose of this paper is to examine the economic impact of AI adoption in the region of ASEAN. To achieve this objective, structural questionnaire was developed for the various industry experts in targeted region. A sample of 240 experts was finally obtained over a time span of 6 weeks through online structural questionnaire approach. For measuring AI adoption, twelve items, initial economic impact (seven items), and subsequent economic impact (six items) were finally added in the questionnaire. For analyses purpose, descriptive statistics, structural equation modelling, and regression analyseswereapplied, examining the both initial and subsequent economic impact of AI adoption. Findings through structural model indicates that overall both initial and subsequent impact are significantly determined by AI adoption in related industries. Additionally, in depth analyses for the individual AI items as their initial and subsequent economic impact indicate that Usage of the data for AI adoption, clear strategy for AI adoption, successful mapping for AI adoption and overall positive attitude towards AI adoption have their significant and positive influence on initial economic indicators. Whereas, as per subsequent economic impact, factors like effective usage of data for AI adoption, assessing the right skills of individuals for AI adoption and positive attitude towards AI adoption are significantly impacting on material investment, capital investment, increasing unemployment, higher economic output, higher return on capital and higher wages for the existing labor. These findings have provided an outstanding evidence in the field of AI and its economic impact in the region of ASEAN and can be considered as initial contribution in related fields. Both industry exports and macroeconomic decision makers can significantly utilize the findings to develop their conceptual framework and understanding for the integration between AI adoption and economy. Additionally, this study can work as reasonable justification for implementing the more adoption of AI in various industries as it has positive economic outcome (both initial and subsequent). However, one of the key limitations of this study is limited sample size and only 240 industry exports were targeted from selected industries in ASEAN. Future study could be reimplemented on similar topic with expanding the sample size for better findings and more generalization.

The focus of this research is on networked plant. The study has analysed the relation between supply chain integration, operational performance, and inter-plant coordination. The study has differentiated internal integration and inter-plant coordination. The extension of internal integration is internal-plant coordination as it involves eliminations of the functional silos in the internal integration are extended to span across the networked plants. This is distinct from the external integration as well. The external integration is based on individual firms and it does not deal in the firm's collaboration with external partners. The relation between supply chain integration and inter-plant coordination has been tested, which is the first contribution, as it was not done previously. The positive impact of internal integration created on the inter-plant coordination has been evidenced by this study. This research has tested a novel theoretical model about the role of external integration as a mediator on the relation of interplant coordination and performance. The previous studies have been complimented by this research through analysing the way in which operational performance is influenced by inter-plant coordination in a networked plant. The study has used SEM-PLS and data is collected from the sports manufacturing firms of Thailand. coordination through external integration. Keeping in view the relation of internal integration with the operational performance, external integration mediates the influence of interplant coordination on operational performance.

The main objective of the current study is to examine the impact of stakeholder's pressure on the environmental supply chain practices. Meanwhile, the mediating role of environmental training in the relationship between stakeholders' pressure and environmental supply chain is also examined. The study has used the SEM-PLS in the study. The data is collected from the operation and general managers of Thai sports firms. The response rate is 58.5 percent. The mediation analysis indicates a partial mediating role of environmental training in the relationship of regulatory stakeholders and market with the adoption of environmental supply chain practices. Two important findings are obtained in this study; firstly, regulatory governance and market stakeholders are of significant importance for implementing environmental supply chain practices. Secondly, greater environmental supply chain practices initiatives will be achieved by the use of environmental training, as compared to the case of separately using stakeholder governance mechanism as pressure for the firm. Findings also suggested that regulatory governance itself has an important role but combining it with market stakeholder may help firms to achieve effectiveness of sustainability enhancing initiatives. Keeping in view the essential role of environmental training programs, there is also a need to assess if these training programs play the role of mediator under different geographic and regulatory conditions and in other industries. In addition, no supportive evidence is obtained in favour of non-market stakeholders. The active role of non-market stakeholder in sustainability initiatives can also be examined in future studies.