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This study aims to explore how multinational lead buyers can play an active role in ensuring worker voices in garment supplier factories where workers have limited space to raise their voices, and how buyers’ involvement increases the possibilities of worker voices mitigating barriers to social dialogues and enhancing mutual interests of buyers and workers in garment factories.

Using a qualitative research approach and multiple embedded case study method, this study considered buyer−supplier dyads as the unit of analysis, i.e. two multinational lead buyers and their four corresponding suppliers in the garment industry of Bangladesh. Focus group discussion and key informant in-depth interviews were techniques applied to collect factory-level data, and within and cross-case analysis techniques were applied to develop an overall understanding.

The results of this study reveal that the opportunities for workers to voice their concerns through social dialogue in garment supplier factories are limited due to various obstacles. Similarly, the role of multinational lead buyers in addressing these issues is found to be less than ideal. This study also shows that buyers can take short-term and long-term initiatives to ensure social dialogues. Moreover, this study presents how social dialogues can meet the expectations of multinational buyers and their garment suppliers.

While this study focuses exclusively on the garment industry, similar scenarios also exist across a multitude of other industries. Thus, future research could extend this study’s scope to various sectors, providing a more comprehensive understanding of the general state of worker voices in Bangladesh. This study stands to make significant contributions to literature in the fields of global value chains, human relations and international business. It will pose critical perspectives on how upstream value chain suppliers can fortify worker rights through social dialogue, and elucidate the means and motives for lead buyers to play a more active role in this endeavour.

This study is distinct in its approach, integrating buyer−supplier roles to pave the way for enhanced worker voice opportunities through social dialogue in garment supplier factories.

To achieve sustainable development in shipping, accurately identifying the impact of artificial intelligence on shipping carbon emissions and predicting these emissions is of utmost importance.

A multivariable discrete grey prediction model (WFTDGM) based on weakening buffering operator is established. Furthermore, the optimal nonlinear parameters are determined by Grey Wolf optimization algorithm to improve the prediction performance, enhancing the model’s predictive performance. Subsequently, global data on artificial intelligence and shipping carbon emissions are employed to validate the effectiveness of our new model and chosen algorithm.

To demonstrate the applicability and robustness of the new model in predicting marine shipping carbon emissions, the new model is used to forecast global marine shipping carbon emissions. Additionally, a comparative analysis is conducted with five other models. The empirical findings indicate that the WFTDGM (1, N) model outperforms other comparative models in overall efficacy, with MAPE for both the training and test sets being less than 4%, specifically at 0.299% and 3.489% respectively. Furthermore, the out-of-sample forecasting results suggest an upward trajectory in global shipping carbon emissions over the subsequent four years. Currently, the application of artificial intelligence in mitigating shipping-related carbon emissions has not achieved the desired inhibitory impact.

This research not only deepens understanding of the mechanisms through which artificial intelligence influences shipping carbon emissions but also provides a scientific basis for developing effective emission reduction strategies in the shipping industry, thereby contributing significantly to green shipping and global carbon reduction efforts.

The multi-variable discrete grey prediction model developed in this paper effectively mitigates abnormal fluctuations in time series, serving as a valuable reference for promoting global green and low-carbon transitions and sustainable economic development. Furthermore, based on the findings of this paper, a grey prediction model with even higher predictive performance can be constructed by integrating it with other algorithms.

This study seeks to explore the importance of digital platforms in restoring global supply chains interrupted by the coronavirus pandemic. Specifically, the research focuses on internally developed digital platforms and their potential to ensure supply chain continuity between developed and emerging markets.

Multiple comparative case studies have been selected for the research methodology. Eight cases concerning digital platform implementation for global SC management – four from developed countries and four from emerging markets – have been selected. The four pairs of cases represent four global supply chain mechanisms.

The results revealed that the use of internally developed digital platforms serves as a quick solution for immediate problems caused by ripple effects in global supply chain and negative environmental conditions. Digital platforms could therefore facilitate reciprocal monitoring and information exchanges between SC partners in different countries.

The digital platform research stream is in its early stages. Research thus far has mostly focused on externally developed digital platforms managed by an orchestrator. The platforms' usefulness in the dialogue between developed and emerging markets requires further exploration.

The study aims to examine the joint effects of foreign ownership (FO) and involvement in global value chains (GVCs) on the productivity performance of firms from a catching-up country (Poland) and a leader economy (Germany).

The authors use micro-level data on firms combined with several sector-level GVC participation measures. The authors investigate whether the link between productivity and the overall sectoral degree of involvement in global production structures depends on a firm's ownership. The authors verify the robustness of the obtained results by using an instrumental variables approach and weighted regression.

The results show that domestically owned firms are less productive than foreign ones, which is particularly true at low GVC participation levels. However, as GVC involvement increases, the FO productivity premium decreases, leading to productivity catching up between foreign and domestically owned firms. This mechanism is similar in Poland and Germany. However, in the leader country (Germany), the productivity performance of domestically owned firms is more stable along the distribution of GVC involvement.

This study contributes to the foreign direct investment (FDI)–productivity literature by comparing the catching-up and developed countries' perspectives and incorporating the productivity–GVC relationship into the FDI analysis. The authors show that the FO premium is not confined to the developing context but is also present in a leader country. Moreover, the link between productivity and the overall sectoral degree of involvement in global production structures depends on a firm's ownership.

The Chinese market represents an increasingly popular destination for wine firms and recent opportunities derive from the growth of e-commerce. The aim of this paper is to understand the impact of digital platforms on wine firms' internationalisation in China by adopting the service ecosystems approach.

The authors carried out a case study of Italian premium wine firms from the Valpolicella area by collecting 27 semi-structured interviews with key informants that operate at the micro-, meso- and macro-levels of the internationalisation ecosystem. Italian wine firms were selected as the focus of the analysis, given the recent sales growth of their products in the Chinese market.

Results show that digital platforms hold a key role in the wine firms' internationalisation in China, intervening with resource integration mechanisms, alignment to the cultural context and mediating firms' digital presence in the market. The platformisation dynamics also reveal the existence of enablers and constraints in the firm internationalisation through digital platforms.

The authors aim to contribute to the marketing literature by analysing how digital platforms influence the wine firms' internationalisation in China through an original perspective, i.e. the service ecosystems lens.

The study adopts the service ecosystems approach to understand the internationalisation of wine firms in the Chinese market through digital platforms.

The United Nations (UN) is globally acknowledged for its unique role as a convening platform to address humanitarian, peace, security and sustainable development challenges. However, it is not often associated with technological innovation. Blockchain technology, an innovation that emerged in the late 2000s, has generated animated discussions that are led, in the most part, by private sector institutions. A dearth of literature highlights the innovative blockchain projects supported by UN entities. The purpose of this study is to provide an overview of blockchain innovations supported by UN entities and explore opportunities for future studies.

This paper used an exploratory case study approach with the purpose of providing a broad perspective of blockchain innovations undertaken by UN entities in the quest to meet sustainable and equitable development across the world.

This study found 25 blockchain projects by 13 UN entities in 19 countries. The geographical spread of the case studies revealed that two studies have global jurisdiction, five studies in Africa, three in Europe, four in Latin America and the Caribbean and 11 in Asia, Oceania and the Middle East. Of the 19 countries, three had two projects each. Two countries had three projects and the rest had one project each. Of the 13 UN entities, three dominated with UNICEF (part of six projects), UNDP (part of 10 projects) and WFP (part of four projects). Finally, the 25 projects were divided among three categories of blockchain use cases, as defined by UN guidance documents. Five case studies focused on immutable record keeping, five on transfer of value and 15 on smart contracts.

This study offers a unique overview of blockchain efforts within UN entities. It provides a platform for future studies to reveal implicit assumptions, contrasting explanations and casual connections.

This paper aims to obtain a recent estimate of the cost of precautionary foreign reserve accumulation that emerging market and developing economies (EMDEs) had to endure to protect themselves against the risks of financial globalization. In addition, the study estimates the cost of excess reserves in emerging market economies (EMEs) using various reserve adequacy indicators that reflect potential sources of foreign exchange drains and vulnerability in EMEs' balance of payments.

This paper begins by explaining the accumulation of foreign reserves in EMDEs as a self-protection strategy against the risks of financial globalization. Next, it sheds light on the different types of economic costs of foreign reserve accumulation. Finally, it estimates the cost of foreign reserve accumulation in EMEs during the period (1990–2018) and in EMDEs during the period (1990–2015) due to data availability.

Results indicate that the cost of accumulating foreign reserves as a self-protection strategy in EMDEs and EMEs' was huge compared to their development financing needs. Applying various reserve adequacy measures demonstrates that many of the EMEs were holding inadequate precautionary reserves in 2018. Actually, this reflects the significant increase in external short term debt that many of the EMEs have witnessed since the eruption of the global financial crisis (2008). Thus increasing reserves in EMEs with weak reserve buffers and higher external debt is critical as they are more vulnerable to external shocks and capital flow reversals. Also given the estimated huge costs of accumulating foreign reserves, EMDEs should accompany it by other complementary self-protection policies and liquidity management policies to free up resources for productive investment.

The study contributes to the literature by estimating the cost of precautionary foreign reserve accumulation imposed on EMDEs during an extended period of time that covers a decade after the onset of the global financial crisis. Also to the authors' knowledge, this is the first study that estimates the cost of excess reserves in EMEs using various reserve adequacy indicators including the International Monetary Fund (IMF) assessing reserve adequacy (ARA) approach.

Considering the relevance of understanding what influences environmentally sustainable consumer choices, the present study aims to examine and synthesize the key determinants factors from literature and outline a new conceptual framework for explaining green purchasing behaviors (GPBs).

A bibliometric analysis was conducted on 161 articles extracted from Web of Science and Scopus databases, which were systematically evaluated and reviewed, and represent the current GPB knowledge base. Content analysis, science mapping and bibliometric analysis techniques were applied to uncover the major theories and constructs from the state-of-the-art.

The evolving debate between altruistic and self-interest consumer motivations reveals challenges for rational-based theories, as most empirical applications are not focused on buying behaviors, but instead either on pro-environmental (non-buying) activities or on buying intentions. From the subset of leading contributions and emerging topics, nine thematic clusters are unveiled in this investigation, which were combined to create the new PSICHE framework with the purpose of predicting GPB: (P)roduct-related factors, (S)ocial influences, (I)ndividual factors, (C)oncerns about the environment, (H)abits and (E)motions.

By uncovering the multiple intervening factors in GPB decision processes, this study will assist practitioners and academics to move forward on how to foster more sustainable consumer behaviors.

The present study provides readers a summary of an unprecedentedly broad collection of papers, from which the key themes are categorized, the domain's intellectual structure is captured and an actionable framework for enhancing the understanding GPB is proposed. Four new thrust areas and a set of future research questions are included.

This study aims to explore the impact of systematic liquidity risk on the averaged cross-sectional equity return of the Indian equity market. It also examines the effects of illiquidity and decomposed illiquidity on the conditional volatility of the equity market.

The present study employs the Liquidity Adjusted Capital Asset Pricing Model (LCAPM) for pricing systematic liquidity risk using the Fama & MacBeth cross-sectional regression model in the Indian stock market from January 1, 2012, to March 31, 2021. Further, the study employed an exponential generalized autoregressive conditional heteroscedastic (1,1) model to observe the impact of decomposed illiquidity on the equity market’s conditional volatility. The study also uses the Ordinary Least Square (OLS) model to illuminate the return-volatility-liquidity relationship.

The study’s findings indicate that the commonality between individual security liquidity and aggregate liquidity is positive, and the covariance of individual security liquidity and the market return negatively affects the expected return. The study’s outcome specifies that illiquidity time series analysis exhibits the asymmetric effect of directional change in return on illiquidity. Further, the study indicates a significant impact of illiquidity and decomposed illiquidity on conditional volatility. This suggests an asymmetric effect of illiquidity shocks on conditional volatility in the Indian stock market.

This study is one of the few studies that used the World Uncertainty Index (WUI) to measure liquidity and market risks as specified in the LCAPM. Further, the findings of the reverse impact of illiquidity and decomposed higher and lower illiquidity on conditional volatility confirm the presence of price informativeness and its immediate effects on illiquidity in the Indian stock market. The study strengthens earlier studies and offers new insights into stock market liquidity to clarify the association between liquidity and stock return for effective policy and strategy formulation that can benefit investors.

This paper aims to discuss the main characteristics of the Middle East North Africa (MENA) region's capital inflows volatility. It also examines the effect of institutional quality and information availability on capital inflows volatility in selected MENA countries (Bahrain, Egypt, Israel, Jordan, Kuwait, Libya, Morocco, Oman, Saudi Arabia and Tunisia) in the period 1996–2017.

The study's assessments are based on the International Country Risk Guide (ICRG) and globalization indices. It also employs an updated data set of balance of payments indicators released by the International Monetary Fund. Moreover, the study uses econometric panel modeling of random effect model, with Driscoll-Kraay robust standard error, to analyze the relationship between capital inflows volatility, institutional quality and information availability.

The paper finds that both institutional quality and information availability are in an inverse relationship with the total capital inflows volatility in the MENA region. However, the findings vary across the different components of total capital inflows. For example, the volatility of foreign direct investment (FDI) declines, like total capital flows, as the two factors improve. However, the volatility of foreign portfolio investment (FPI) is negatively related to institutional quality but does not have any significant relationship with information availability. While the volatility of foreign other investments (FOI) decreases with the availability of information, but does not have any significant relationship with institutional quality.

This paper expands the limited literature regarding the determinants of capital inflows volatility. Furthermore, it is the first study that investigates the effect of institutional quality and information availability on capital inflows volatility in the MENA region.