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This study aims to find the impact of the trade war between the USA and China on Asian economies. Apart from macroeconomic variables associated with trade, this study explicitly creates a trade war scenario and trade war participant dummies. Using the neural network multilayer perceptron, this study checks for the causal linkages between the predictors and target output for the panel of Asian economies and the USA.

A conceptual model of the after effects of trade war in a quadrant is developed. Variables related to trade and tariffs are included in the study for a panel of 19 Asian economies. The feedforward structure of neural network analysis is used to identify strong and weak predictors of trade war.

The hidden layers of the multilayer perceptron reveal the inconsistency in linkages for the predictors’ services exports, tariff measures, anti-dumping measures, trade war scenario dummy with gross domestic product. The findings suggest that to curtail the impact of the trade war on Asian economies, predictors with neural evidence must be paid due weightage in policy determination and trade agreements.

The study applies a novel and little explored AI/ML technique of Neural Network analysis with training of 70% observations. The paper will provide opportunity for other researchers to explore techniques of AI/ML in trade studies.

Globalisation has remained a subjective term as the magnitude unfolded. Every new decade witnesses new opportunities for global integration of the economies. One among such initiatives, it is argued, is the One Belt One Road initiative of the People’s Republic of China. It is assumed to be beneficial for the world and at least for the region, if not to say more. The world has witnessed efforts and trends of protectionism as well, but China comes up with new vigour. One Belt One Road has entered into consistent talks and deliberations at the world level. It is therefore imperative to identify the emerging linkages between the participant countries in One Belt One Road. This study aims to take up the task of enquiring about the effect of One Belt One Road on the gravity between China and the nations of Eurasia. This study looks for the realisation of the expected economic ties and internationalisation emerging from One Belt One Road and the evidence for the same. This will be identified in the present study. The paper also attempts to theorise a model for One Belt One Road.

This study takes up the task of enquiring about the effect of One Belt One Road on the gravity between China and the nations of Eurasia. The hypothesised economic ties and internationalisation will be a reality or not. And what are the evidences for the same. This will be identified in the proposed study. An attempt to theorise the model for One Belt One Road is also taken.

It is perceived that the mega project would fill the wedge between China and Eurasia and convergence will follow with the start of the One Belt One Road.

The emergence of China in the global world order as the initiator of mega deals and projects and its dominion in every realm of economic activity is a topic of scrutiny for the entire world. In this context, the One Belt One Road initiative offers huge potential for exploration. As the project is in its early stages of planning and execution, its prospects of tying entire Europe and Russia with China through two of the revived ancient routes are essential to the entire world.

Regional comprehensive economic partnership (RCEP) is understood as the world's largest trading bloc given its contribution to the world output (30%). The mega trade bloc brings together 15 countries of East Asia, Southeast Asia and Oceania to eliminate tariff and non-tariff barriers in goods and services trade. The study suggests the importance of sector specific reforms for Malaysia to strengthen domestic capability.

The analytical framework constructs upon the partial equilibrium analysis and uses WITS SMART simulations.

The study finds that Malaysia's elimination of tariffs under the RCEP will cause a surge in imports from developed member countries of RCEP like Australia, South Korea and Japan. The study also finds a trade diversion in countries such as India. The empirical results establishes that RCEP would further strengthen intra-ASEAN trade.

The study explores select sectors of the manufacturing industry in Malaysia.

The implementation of RCEP would impact the manufacturing sector immensely, especially in sectors like electrical machinery and equipment and inorganic chemicals, which are two of the major trading commodities of the Malaysian economy.

Any trade agreement has a larger impact on the society. It may raise income, boost the consumer preferences and create or erode consumer welfare. The study reports the consumer welfare effect of the implementation of RCEP in Malaysia.

The study is the first attempt to do a partial equilibrium analysis for the electrical machinery and equipment sector and inorganic chemicals sector of Malaysia using both aggregated and disaggregated data at HS two-digit and HS six-digit level.

African Economies are a mix of emerging and developing economies, characterised by regional imbalances and socio-economic differences. Foreign Direct Investment and Trade has been important for the growth prospects of African Economies. In this paper, we attempt to study the impact of FDI and Trade in a COVID-19 scenario on the African Economies. We also study the lockdown restrictions in different regions of Africa. Applying Neural Network Analysis for the sample of 36 African Economies we identify the significant economic variables for GDP. The analysis based on a feedforward structure suggests that Merchandize Exports (MEXP) and Foreign Direct Investment Stock (FDIS) have very strong causal linkages with the GDP for African Economies sample. On the other hand, Merchandise Imports (MIMP), Services Exports (SEMP), Services Imports (SIMP), and Foreign Direct Investment Inflows (FDII) have a strong and significant relationship with GDP for the African Economies. Tariff Measures (TRFF), Anti-Dumping measures (ADP) and Foreign Direct Investment Outflows (FDIO) have no significant relationship.

Lean construction (LC) is an innovative approach in the construction industry that has shown significant success in developed countries. Although LC has potential in the construction sector of Pakistan, it has not been extensively explored. This study aims to address this knowledge gap by identifying and predicting current lean practices and assessing the strengths and weaknesses of LC implementation in Pakistan.

Using robust statistical methods to analyze 92 valid responses, the study reveals that approximately 54% of lean practices are currently in use in the construction industry of Pakistan, with a population mean ranging from 52.7% to 55.6%.

Surprisingly, the research identifies instances where some construction firms in Pakistan are implementing LC practices, even though they have only a limited understanding of its underlying principles. Notably, certain subprinciples, such as visual management, top management commitment to change, employee training, process cycle time reduction and production optimization, are less integrated within the construction industry. Exploring the possibility of implementing LC, recommendations for strategies to implement LC in Pakistan are suggested, aligning with the conceptual model proposed by the researchers.

The novelty of this work offers insights that can serve as a comprehensive guide for developing nations. It provides a structured approach to assess and benchmark LC practices, which, in turn, can contribute to a more efficient and effective construction industry. Moreover, the strategies proposed in this research can aid developing countries in the efficient implementation of LC. This will have a positive implication for both economic and developmental outcomes.

The purpose of this paper is to investigate the role of trust and perceived enjoyment in the technology acceptance model by distinguishing distinct stages of adoption among street vendors (initial and advanced adoption stage).

Face-to-face interviews using a structured questionnaire were conducted with 430 street vendors in Bangkok; 415 usable surveys were analyzed. By applying K-means cluster analysis, two segments were found with 200 initial and 215 advanced adopters. A multi-group analysis was employed to investigate differences of relationships between the two groups.

The findings reveal significant similarities and dissimilarities between the two groups of vendors. Both initial and advanced adopters emphasize trust of service providers. The first group relies more on perceived ease of use and perceived enjoyment in motivating m-commerce adoption but depends less on perceived usefulness. On the contrary, for the latter group, the influence of perceived ease of use and perceived enjoyment significantly decreases, but the effect of perceived usefulness significantly increases.

This study sheds light on the managerial implications related to how service providers can tailor their marketing strategies to target vendors in disparate diffusion stages, and it encourages building trust between partners over time.

Due to the lack of theoretical and managerial understanding of factors that drive m-commerce adoption for micro businesses, this study identifies distinct adoption stages and offers valuable insights into the similarities and differences among initial and advanced adopters.

This study intends to assess the research trends on natural disasters and their contribution to the various fields of policy decisions in India by conducting a bibliometric analysis between 2008 and 2022. The Scopus database was used to extract pertinent literature. The key relevant terms were used to seek relevant papers based on the query of two searches, ‘Natural disaster and India’ scenarios combined by the Boolean operator ‘AND’. Microsoft Excel and VOSviewer-Var1.6.16 were used to assess bibliometric indicators. The database yielded 1,293 papers in all, with 14,584 citations. There were 262 single authors and 1,031 multi-author documents among the publications that were retrieved, with an average of 11.28 citations per document. After 2016, there was a dramatic growth in the total number of publications. The journal articles were the leading source of the particular literature, and this study extracted approximately 858 journal articles from the Scopus database. About 713 and 580 articles were open and closed access, respectively. Earth and planetary sciences (28.07%), social science (31.01%), and environmental science (30.39%) had a higher proportion of papers than other topics. The most impactful authors were Rajib Shaw and Filip K. Arnberg from Keio University, Japan, and Uppsala University, Uppsala, Sweden. Besides, the most funding institutions were from India (39.33%), China (13.11%), and the United States (11.9%) for natural disaster research, in the case of India. The current baseline information on natural disaster-related literature in the context of India showed that this field is growing rapidly but with inadequate research collaboration and low productivity as needed. Research collaboration in this field needs to be strengthened to improve the solid response to natural disasters in any place in India. In addition, there is a need to expand the research focus in this field to include associated indicators.

This study aims to validate a model of organizational performance embedding corporate social responsibility (CSR), corporate governance (CG) and sustainability concepts at a strategic level. The model has been created in response to two significant global influences: global challenges and sustainable development (SD).

To validate the model created, executives from 10 of Thailand’s leading companies that have received CSR, CG, or sustainability awards during 2010-2015 were asked to complete a questionnaire and were later interviewed.

The findings indicate the appropriateness of the model in addressing the two significant global influences and highlight the critical issues in its implementation.

Types of interviewees who are information sources, organization’s features such as size and industry and culture, appear to be critical factors in affecting the research findings and in limiting the interpretation and applications of the research model. All of those limitations have been explained in the research paper so that future research could be improved.

The model presents additional knowledge in relation to SD, business strategy, organizational performance and organizational sustainability. It shows how businesses can participate and respond to SD by embedding CSR, CG and sustainability concepts at the strategic level. It also shows that the outcome of such an approach will help business organizations sustain their existence by balancing financial, social and environmental dimensions.

Business is one of the three key players (government, business and citizens) in managing global challenges and promoting SD. A business sector contains huge valuable resources (e.g. physical; financial; human; technology) for development capabilities. Therefore, this research shows a model which helps business organizations understand their significant role in SD.

Due to increased human population, climate change and deterioration of natural resources, social thinkers all around the world have been warning the seriousness of global challenges and the importance of SD. However, not many studies combine and connect the key concepts of global challenges, SD, CSR, CG and sustainability, all together to address the important role of business organizations. This research answers/gives such overall picture through a field research work for validation.