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In this paper, we evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This is a meaningful attempt to use the GTAP-VA model to analyze the electronics industry in China.

We employ a Dynamic GTAP-VA Model to quantitatively evaluate the economic repercussions of the “Chip Act” on the Chinese electronic industries' GVC participation from 2023 to 2040.

The findings depict a discernible contraction in China’s electronic sector by 2040, marked by a −2.95% change in output, a −3.50% alteration in exports and a 0.45% increment in imports. Concurrently, the U.S., EU and certain Asian economies exhibit expansions within the electronic sector, indicating a GVC realignment. The “Chip Act” implementation precipitates a significant divergence in GVC participation across different countries and industries, notably impacting the electronics sector.

Through a meticulous temporal analysis, this manuscript unveils the nuanced economic shifts within the GVC, substantially bridging the empirical void in existing literature. This narrative accentuates the profound implications of policy regulations on global trade dynamics, contributing to the discourse on international economic policy and industry evolution.

We evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This is a meaningful attempt to use the GTAP-VA model to analyze the electronics industry in China.

The interaction between policy regulations and global value chain (GVC) dynamics is pivotal in understanding the contemporary global trade framework, especially within technology-driven sectors. The US “Chips Act” represents a significant regulatory milestone with potential ramifications on the Chinese electronic industries' engagement in the GVC.

The significance of this paper is that it quantifies for the first time the impact of the US Chip Act on the GVC participation index of East Asian countries in the context of US-China decoupling. With careful consideration of strategic aspects, this paper substantially fills the empirical gap in the existing literature by presenting subtle economic changes within GVCs, highlighting the profound implications of policy regulation on global trade dynamics.

This article aims to systematically review the literature published in recognized journals focused on cognitive heuristic-driven biases and their effect on investment management activities and market efficiency. It also includes some of the research work on the origins and foundations of behavioral finance, and how this has grown substantially to become an established and particular subject of study in its own right. The study also aims to provide future direction to the researchers working in this field.

For doing research synthesis, a systematic literature review (SLR) approach was applied considering research studies published within the time period, i.e. 1970–2021. This study attempted to accomplish a critical review of 176 studies out of 256 studies identified, which were published in reputable journals to synthesize the existing literature in the behavioral finance domain-related explicitly to cognitive heuristic-driven biases and their effect on investment management activities and market efficiency as well as on the origins and foundations of behavioral finance.

This review reveals that investors often use cognitive heuristics to reduce the risk of losses in uncertain situations, but that leads to errors in judgment; as a result, investors make irrational decisions, which may cause the market to overreact or underreact – in both situations, the market becomes inefficient. Overall, the literature demonstrates that there is currently no consensus on the usefulness of cognitive heuristics in the context of investment management activities and market efficiency. Therefore, a lack of consensus about this topic suggests that further studies may bring relevant contributions to the literature. Based on the gaps analysis, three major categories of gaps, namely theoretical and methodological gaps, and contextual gaps, are found, where research is needed.

The skillful understanding and knowledge of the cognitive heuristic-driven biases will help the investors, financial institutions and policymakers to overcome the adverse effect of these behavioral biases in the stock market. This article provides a detailed explanation of cognitive heuristic-driven biases and their influence on investment management activities and market efficiency, which could be very useful for finance practitioners, such as an investor who plays at the stock exchange, a portfolio manager, a financial strategist/advisor in an investment firm, a financial planner, an investment banker, a trader/broker at the stock exchange or a financial analyst. But most importantly, the term also includes all those persons who manage corporate entities and are responsible for making their financial management strategies.

Currently, no recent study exists, which reviews and evaluates the empirical research on cognitive heuristic-driven biases displayed by investors. The current study is original in discussing the role of cognitive heuristic-driven biases in investment management activities and market efficiency as well as the history and foundations of behavioral finance by means of research synthesis. This paper is useful to researchers, academicians, policymakers and those working in the area of behavioral finance in understanding the role that cognitive heuristic plays in investment management activities and market efficiency.

The regional comprehensive economic partnership (RCEP) is promising as per the claims and can be revolutionary for the Asia–Pacific Region. The member countries will get a boost in the post-pandemic world due to the RCEP. According to Brookings, the RCEP is going to be an agreement reshaping the global economics. This study aims to clarify the aspects related to the RCEP and how it can boost global economics.

The study employs qualitative descriptive analysis to address the status of RCEP in the region and the consequences of such main transnational partnership. The study is based on economic reports, official documents and data directly related to the subject of the study.

Findings show that the RCEP will be a significant driver of regional trade despite its faults. The RCEP's tariff benefits and rules of origin, notwithstanding their relatively restricted scope, will encourage enterprises to source products and services from RCEP members, and in combination, RCEP and Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) are anticipated to replace at least some competing US commodities, services and farm exports. For items that integrate parts and components from inside the area, such as from China, the RCEP is projected to reduce tax and trade facilitation costs, allowing enterprises to avoid US Section 301 tariffs.

By examining how the RCEP operates within the framework of domestic and international trade, this study contributes to a deeper understanding of RCEP and analyses its nature based on data and official reports.

The purpose of this paper is twofold. Firstly, the paper aims to determine the separate effects of the COVID-19 pandemic and government actions represented by the index of stringency, containment and economic support on the attractiveness of foreign direct investment (FDI). Secondly, the paper aims to explore the impact of the interactions between the COVID-19 epidemic and government interventions on FDI.

The study uses a panel data set of 30 Asian countries during the two pandemic years 2020 and 2021 to investigate the effect of government actions on the resilience of FDI attractiveness factors.

The empirical results reveal the negative effect of COVID-19 on FDI inflows and attractiveness factors. However, government responses have a positive and statistically significant effect on the FDI attractiveness factors such as economic growth, trade openness and human and technological capital development and contribute to the economic recovery of the Asian region.

The empirical findings can provide useful information for policymakers in designing macroeconomic policies and taking government measures to improve their investment environment and attract FDI.

The study shows that government responses, economic support, containment and health policies are effective in containing viruses, reducing the impact of the COVID-19 pandemic and strengthening resilience in FDI attractiveness factors. It also indicates that foreign investors are responding positively to government measures.

This study aims to offer the intellectual structure and dynamics of the sustainability branding field, involving the identification of influential authors and journals, current and emerging themes, theories, methods, contexts and future research directions.

The study conducted a bibliometric approach of 1,509 articles retrieved from Scopus to analyze the evolution of the knowledge of sustainability branding and suggest future research. The analysis used various methods such as performance analysis, keyword analysis, cluster analysis and bibliographic coupling.

The topics of corporate image, philanthropy and stakeholder pressures were core in the foundation phase. Then rose the topics of sustainable development goals and global supply chains. Green marketing and the new paradigms of circularity, ethical consumerism and hyperconnected societies emerged more recently. Six thematic clusters represent the field’s knowledge structure: (1) corporate branding and reputation, (2) sustainable business development, (3) sustainable branding and ethical consumption, (4) corporate social responsibility, (5) brand equity and green marketing and (6) sustainability branding in hospitality and tourism.

This paper provides readers with an overview of sustainability branding core themes, key contributions and challenges, which can be used as a toolkit for brand management studies and practice.

The study’s uniqueness lies in bibliometric analysis (combined with network analysis and science mapping techniques) of the sustainability branding field from the identification and evolution of the thematic clusters to propose future research directions.

This study aims to examine the most influential drivers, both product-specific and consumer-specific, affecting Asian consumers' willingness to pay (WTP) for organic olive oil.

To individuate the most influential drivers of WTP for organic products and to assess their effect, in terms of configurational paths and consumer profiles, this study sequentially employs explorative factor analysis approach and a fuzzy-set qualitative comparative analysis method. The survey is carried out in different areas of Asia (e.g. Pakistan, Vietnam and China).

The results suggest that Asian consumers' WTP for organic products is described by consumer-specific drivers (gender, occupation and household size) as well as product-specific drivers (product authenticity and sustainability, consumer ethnocentrism and food fraud risk perception).

The findings of the study permit the identification of different drivers that move consumers' WTP for organic olive oil. The study contributes to setting the ground for companies to propose and implement efficacious marketing strategies for organic olive oil in importing countries, such as Asia.

This study aims to predict artificial intelligence (AI) technology development and the impact of AI utilization activity on companies, to identify AI strategies dealing with the broad innovation activity of AI, and to construct the strategic decision-making framework of AI strategies for a small- and medium-sized enterprise (hereafter SME), to improve strategic decision-making practices of AI strategy in SMEs.

This study used the multiple methods on the design of two data collection stages. The first stage is an expertise-based approach. It organized the three groups of expert panels and conducted the Delphi survey on them in combination with the brainstorming of technology, innovation and strategy in the fourth industrial revolution. The second stage is in the complement approach of expertise-based results. It used the literature review to involve the analysis of academic and practical papers, reports and audio materials relating to technology development, innovation types and strategies of AI. Additionally, it organized the four semi-structured interviews. Finally, this study used the mind-map and decision tree to conduct each analysis and synthesize each analytical result.

This study identifies the precondition and four paths of AI technological development classifying into specialized AI, AI convergence with other technologies, general AI and AI control methods. It captures the impact of non- and technological innovation through AI on companies. Second, it identifies and classifies the six types of AI strategy: the bystander, capability-building, capability-holding, management-enhancing, market-enhancing and new-market-creating strategy. By using the decision tree, it constructs the strategic decision-making framework containing six AI strategies. Actionable points, strategic priorities and relevant instruments are suggested.

The strategic decision-making framework covering from AI technology development to utilization in a SME can help understand the strategic behaviours in SMEs. The typology of six AI strategies implies the broad innovation behaviours in SMEs. It can lead to further research to understand the pattern of strategic and innovation behaviour on AI.

This practical study can help executives, managers and engineers in SMEs to develop their strategic practices through the strategic decision framework and six AI strategies.

This practical study elicits the six types of AI strategy and constructs the strategic decision-making framework of six AI strategies from AI technology development to utilization. It can contribute to improving the practices of strategic decision-making in SMEs.

This article undertakes a literature review on showrooming, offering an exhaustive overview of research publications and future research objectives that will contribute to extending the understanding of the phenomenon.

The showrooming literature has been collected from journals indexed by SCOPUS and ranked by ABDC. This was later analysed with the SPAR-4-SLR framework and the TCCM methodology (theories, contexts, characteristics, and methodologies) proposed by Paul et al. (2021) and Paul and Rosado-Serrano (2019).

The insights of this review include bibliometrics of showrooming research and the number of explored showrooming theories, methodologies, and contexts from which the phenomenon has been studied. It also highlights the various aspects that might be considered while building an optimal approach.

Articles published in SCOPUS-indexed and ABDC-ranked journals between 2012 and August 2022 were considered. Some articles published in conference proceedings and journals, not fulfilling the aforementioned criteria, might have been missed.

SPAR-4-SLR and TCCM methodologies would aid the researchers in further exploration of this phenomenon and suggest options for enhancing customer experience (CX) eventually leading to customer retention. Retail channel managers will find this knowledge handy in “encouraging loyal showrooming” and ensuring business sustainability.

This study uses the novel SPAR-4-SLR framework to structure the review, while TCCM methodology sheds light on the showrooming from the perspective of various theories, contexts, characteristics, and methodologies. The scope for further research identified through the above-mentioned framework and methodology would be of high value to the researchers and practitioners alike.

The scope of this work is to explore whether Regional Comprehensive Economic Partnership (RCEP) would be beneficial to Bangladesh, given Bangladesh's strong ties with India and the west.

Using extended gravity equation and data from Head and Mayer (2021) and the Direction of Trade Statistic (IMF, 2021) for Bangladesh with its applicable partner countries from 1972 till 2019, the authors attempted to examine the potential impact of joining RCEP while keeping its relationship with South Asian Association for Regional Cooperation (SAARC), and other existing economic integration schemes intact.

Using traditional pooled ordinary least squares, two-stage least square and generalized method of moment techniques, it has been revealed that conventional partners in the South led by India are still beneficial to Bangladeshs trading line. Joining RCEP provides ample avenues for trade expansion without replacing the positive effects of SAARC.

Traditional partners from European, American and South Asian trading opportunities are still paying enough dividends to Bangladesh. RCEP is providing a trade-enhancing chance for Bangladesh in the eastern direction. This paper provides a policy suggestion to look east policy of government. A total overhaul of her tax structure through minimizing excessive reliance on import tariff revenue is desired to facilitate her to join RCEP in the future because most of its prospective RCEP partners are import partners.

This is the first and the only study which explores the feasibility of Bangladesh to join the RCEP by using the most recently updated gravity data in a panel framework.

1. Since its inception on November 15, 2020, Regional Comprehensive Economic Partnership (RCEP) has emerged as one of the largest economic integration areas in the world.

2. As a borderline country between South Asia and RCEP, Bangladesh is in a fix to take a decision either to join or not to join RCEP if they are invited.

3. This paper used the gravity equation in an extended form by taking Bangladesh with its 197 trading partners’ trade data for 1972–2019.

4. The findings postulate that the existing relationship with SAARC countries is still beneficial to its welfare, and RCEP is also economically helpful in enhancing its trade.

Since its inception on November 15, 2020, Regional Comprehensive Economic Partnership (RCEP) has emerged as one of the largest economic integration areas in the world.

As a borderline country between South Asia and RCEP, Bangladesh is in a fix to take a decision either to join or not to join RCEP if they are invited.

This paper used the gravity equation in an extended form by taking Bangladesh with its 197 trading partners’ trade data for 1972–2019.

The findings postulate that the existing relationship with SAARC countries is still beneficial to its welfare, and RCEP is also economically helpful in enhancing its trade.

This study aims to explore how green supply chain management (GSCM) strategies can be effectively implemented for business supply chain operations, relationship management and product design to gain green competitive advantages.

An exploratory in-depth case study was conducted with one of the largest Chinese electronics manufacturers that is considered a leading GSCM adopter in the industry, to understand how the company adopts green supply chain practices across its multiple product lines.

The findings show that businesses can build different green focuses across GSCM elements of green operation, green relationship management and green product design to form diverse hybrid strategic solutions. They include green control, lean, leagile, agile and clean innovation while taking consideration of supply chain type and product lifespan. A taxonomy of four key GSCM strategic combinations is proposed based on the findings. The strategies align with green demand and supply chain characteristics balancing a series of business competitive objectives in terms of reducing pollution and waste, improving green cost efficiency, enhancing green demand innovation and building green service effectiveness.

This study lends insight into the strategic alignment relationships between product supply chain types and approaches to GSCM.

The findings of this study can support industry practitioners in formulating aligned GSCM strategies based on product types to achieve optimal results.

Optimised green supply chain design, operations and relationship management incorporating product attributes can help further minimise negative impacts of business activities on the environment.

This research provides a systematic understanding of how product supply chain types can influence GSCM strategy formulation. It gives a holistic picture of how hybrid choices of strategies with green supply chain operations, relationship management and product design can be formulated based on product and supply chain characteristics.