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This study aims to empirically investigate the potential impact of the Trans-Pacific Partnership (TPP) on US textile and apparel manufacturing.

This study adopts the Global Trade Analysis Project (GTAP) computable general equilibrium model based on the latest GTAP9 database.

The findings of the study suggest that: the “yarn-forward” rule will not work effectively in the context of TPP; and the development of Vietnam’s local textile industry is a critical threat to the survival of US textile and apparel (T&A) manufacturing in the long run.

The findings of the study augment the understanding of the T&A-specific sectoral impact of TPP and address the particular concerns of the US T&A manufacturers with regard to the new business environment and the possible scenarios after the implementation of the agreement.

Given the heated academic and policy debate regarding the fate of garment manufacturing in a high-wage developed economy in the 21st century, this study aims to explore the production and export strategies of apparel “Made in Ireland.”

A logistic regression analysis of 4,000 apparel items at the stock keeping unit (SKU) level sold in the market from January 2018 to December 2021 was conducted to evaluate the production and export strategy of apparel “Made in Ireland” versus foreign-made imported items sold in Ireland.

The statistical results showed that Ireland’s apparel manufacturing sector survived the market competition by leveraging non-price competing factors, such as distinct product assortment, cultural heritage, history and traditional craftsmanship.

The findings challenged the conclusions of the classic trade and economic development theories regarding the trajectory of the garment manufacturing sector and called for a rethink about the strategies for expanding garment manufacturing in a high-wage developed country in today’s global economy.

The aim of this study is to examine the effect of trade wars between countries on social factors. For this purpose, six different criteria are selected based on the comprehensive literature review. Additionally, fuzzy DEMATEL approach is considered to weight these criteria. The findings indicate that working life is the most significant criterion. However, free time and leisure and family are at the bottom of the list. Additionally, it is also defined that working life is the most influencing criterion. These results demonstrate that trade wars have the highest impact on the working life of the people. In other sayings, people’s fear of losing their jobs goes up in case of the trade wars. To solve this problem, companies should make official statements to their employees about the situation caused by the trade wars. By making clear explanations, uncertainties in this process can be minimized.

The purpose of this paper is to empirically investigate the impacts of quota elimination on the world clothing trade.

Multivariate analysis of variance (MANOVA) was undertaken based on trade statistics of 51 clothing exporters from 2000 to 2009 provided by the World Trade Organization (WTO).

First, exporters’ performances in response to quota elimination overall were suggested unequal among countries located in different geographic regions of the world. Second, clothing exporters located in different geographic regions were suggested having unequal results of compound annual growth rate from 2005 to 2009 and market share changes from 2000 to 2009. Third, it was suggested that European countries were achieving faster clothing export growth from 2005 to 2009 and more market share gains from 2000 to 2009 than the rest of the world; and that China was also achieving more market share gains from 2000 to 2009 than other clothing exporters.

Although China once again was suggested as one of the largest beneficiaries of quota elimination, the paper's findings remind us that neither China's gains nor some other countries’ losses should be exaggerated. The findings also call attention to the influence of geographic location as a key factor shaping the pattern of the world clothing trade in the post‐quota era. Also, the findings suggest special care be given to African clothing exporters in the future.

The paper evaluates the real impacts of quota elimination on the world clothing trade by taking a global perspective based on updated data.

This paper seeks to explore the effect of mood states and gender on the relationship between health‐related information and variety seeking (VS) behavior among food products.

Two experiments were conducted to examine the moderating effects of mood states and gender on the relationship between health‐related information and VS.

The results indicate that sad people incorporate more VS than happy people when health warnings and nutritional labeling are absent, but sad and happy people tend to converge to similar levels of VS when health warnings and nutritional labeling are present. Moreover, males incorporate less VS than females when health warnings are present, while females incorporate less VS than males when nutritional labeling is present.

In the absence of health warnings and nutritional labeling, it is a wiser way for leading brands to cultivate positive consumer moods by utilization of humorous ads, so that they do not search for varied products. For less well‐known brands, inducing negative consumer moods is a better way to encourage brand switching. Further, providing nutritional labeling will strengthen consumer brand loyalty by reducing their VS, especially for females. As the health warnings reduce the VS for males, marketers may take advantage of this effect by associating brand names with health warnings.

As VS is found to be related to over‐consumption, it is important to investigate the effects of health‐related information on VS. However, little empirical evidence has been found on the effect of health‐related information on VS behavior. Further, this study takes into consideration moderating factors as it is important for marketers to realize how health‐related information interacts with the consumer's VS behavior under different mood states and gender. The findings demonstrate that the relationship between health‐related information and VS is moderated by mood states and gender differences, an important contribution to the research on VS behavior.

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.

The US-China trade war has brought forth the problem of balance of trade not only for them, but also for many other economies in the world. However, all the commodity segments are not equally affected and thus, the segment-wise trade analysis of commodities can bring up many valuable insights, vital for policy formulation process. Despite this, existing literature barely covered this aspect as a focal research. Therefore, this chapter has carried out segment-wise analysis of commodity classes popular in international trade discussions for the United States and China since the trade dispute intensified between them. In this chapter, we have built an argument around three commodity-segments which are popular in international trade studies namely, the raw material segment, semi-finished goods segment, and finished goods segments. While doing this analysis, we majorly focused on monopolistic power of economies in different commodity segments. We found that while in the segment of raw material, mostly cost is driving the trade, in the finished goods segment, variety and innovations are the key drivers that can boost trade by discovering new consumption spaces.

Based on the post-acceptance model of information system continuance (PAMISC), this study investigates the influence of the early-stage users' personal traits (specifically personal innovativeness and technology anxiety) and ex-post instrumentality perceptions (specifically price value, hedonic motivation, compatibility and perceived security) on social diffusion of smart technologies measured by the intention to recommend artificial intelligence-based voice assistant systems (AIVAS) to others.

Survey data from 400 US AIVAS users were collected and analyzed with Statistical Product and Service Solutions (SPSS) 18.0 and the partial least square technique using advanced analysis of composites (ADANCO) 2.1.

AIVAS technology is presently at the early stage of market penetration (about 25% of market penetration in the USA). A survey of AIVAS technology users reveals that personal innovativeness is directly and indirectly (through confirmation and continuance) associated with a stronger intention to recommend the use of the device to others. Confirmation is associated with all four ex-post instrumentality perceptions (hedonic motivation, compatibility, price value and perceived security). Among the four, however, only hedonic motivation and compatibility are significant predictors of satisfaction, which lead to use continuance and, eventually, intention to recommend. Finally, technology anxiety is found to be indirectly (but not directly) associated with a lower intention to recommend.

This is the first study conducted on the early-stage AIVAS users that evaluates the influence of both personal traits and ex-post instrumentality perceptions on users' intention for continuance and recommendation to others.