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This study aims to understand how different levels of streamer channels influence luxury brand sales in live streaming commerce. This study also seeks to understand the conditions under which luxury brands may benefit more from different level streamer channels.

Panel data were collected from 17 international luxury brands on the Douyin live streaming platform in an 18 week period from August to December 2020 and analyzed by using a two-way fixed effects model.

The authors compared different mega-, macro- and micro-streamer channels within live streaming commerce and found that the densities of mega- and macro-streamer channels had significant positive impacts on luxury brand sales in live streaming commerce. Moreover, the effects of the density of streamer channel on luxury brand sales were moderated by such variables as product line breadth, product line depth, product type (star/non-star) and product price (high/low). The authors found that product line breadth and depth could reduce the positive impact of the densities of mega- and macro-streamer channels on luxury brand sales. For star products and high-priced products, the relationship between the density of mega-streamer channel and luxury brand sales was more likely to be observed than for non-star products and low-priced products. The relationship between the density of macro-streamer channel and luxury brand sales was more likely to be observed in low-priced products than in high-priced products.

The findings make important contributions to the literature in that the authors expand the influencer-brand fit theory by proposing a new model of effects of the densities of mega-, macro- and micro-streamer channels on sales performance across different luxury products to improve our understanding of the fit among influencers, brands and products. This helps luxury brands make basic decisions of “who sells” and “sells what” when engaging in live streaming commerce.

The well‐known maxim “different products, different requirements” is, of course, derived from practical experience. This article seeks to establish whether this maxim also has significance when viewed from the perspective of physical distribution. In particular, it will consider what this significance is with reference to physical distribution strategy, production allocation and stock allocation policy. At the same time it will seek to establish which product characteristics can significantly shape this policy.

A common tactic employed by retailers to enhance shoppers' purchase intentions is to promote a special offer product for purchase only at certain selected stores. This research aimed to identify the specific processes by which restricting the outlets drives intention to buy.

Three between-subjects experiments examined the effect on purchasing intention of outlet selectivity, as mediated by participants' perceptions of temporal accessibility and geographic accessibility (study 1), and investigated the extent to which decisions to buy might be moderated by the limited number of stores where the item would be available (study 2) and by “limited market,” in which the right to buy a product is restricted to a limited set of consumers (study 3).

The study findings are that joint consideration of the perceived temporal and geographic accessibility of a product generates two possible ways in which availability limited to certain stores makes the product seem hard to get and motivates consumer purchase decisions. However, such effect is confined to conditions in which the distribution of those outlets is low-density. When there was no change in those scores if restrictions were lower, participants' responsiveness to decreased availability was significantly raised by announcing that the chance to buy the product is further limited to “eligible” customers.

This research focused on consumer responses to outlet selectivity, a branch of inquiry that treats an overlooked facet of limited availability and provides useful assistance for developing methods to stimulate consumers' desire to purchase.

The purpose of this paper is to explore the key influential factors and their implications on food supply chain (FSC) location decisions from a Thailand‐based manufacturer's view.

In total, 21 case studies were conducted with eight Thailand‐based food manufacturers. In each case, key influential factors were observed along with their implications on upstream and downstream FSC location decisions. Data were collected through semi‐structured interviews and documentations. Data reduction and data display in tables were used to help data analysis of the case studies.

This exploratory research found that, in the food industry, FSC geographical dispersion pattern could be determined by four factors: perishability, value density, economic‐political forces, and technological forces. Technological forces were found as an enabler for FSC geographical dispersion whereas the other three factors could be both barriers and enablers. The implications of these four influential factors drive FSC towards four key patterns of FSC geographical dispersion: local supply chain (SC), supply‐proximity SC, market‐proximity SC, and international SC. Additionally, the strategy of the firm was found to also be an influential factor in determining FSC geographical dispersion.

Despite conducting 21 cases, the findings in this research are based on a relatively small sample, given the large size of the industry. More case evidence from a broader range of food product market and supply items, particularly ones that have significantly different patterns of FSC geographical dispersions would have been insightful. The consideration of additional influential factors such as labour movement between developing countries, currency fluctuations and labour costs, would also enrich the framework as well as improve the quality and validity of the research findings. The different strategies employed by the case companies and their implications on FSC location decisions should also be further investigated along with cases outside Thailand, to provide a more comprehensive view of FSC geographical location decisions.

This paper provides insights how FSC is geographically located in both supply‐side and demand‐side from a manufacturing firm's view. The findings can also provide SC managers and researchers a better understanding of their FSCs.

This research bridges the existing gap in the literature, explaining the geographical dispersion of SC particularly in the food industry where the characteristics are very specific, by exploring the internationalization ability of Thailand‐based FSC and generalizing the key influential factors – perishability (lead time), value density, economic‐political forces, market opportunities, and technological advancements. Four key patterns of FSC internationalization emerged from the case studies.

Online reviews have been indicated to play an important role in consumers’ decision-making process, as supported by numerous studies. However, none of them has considered the neighborhood effect of online reviews. The purpose of this paper is to analyze the impact of neighbor store’s reviews on central store’s, along with the moderating effects of store density and product similarity.

Using data from dianping.com, this study conducts economic analysis accounting for endogeneity.

The results show that the neighbor store’s reviews exert a negative impact on that of central stores. Nevertheless, the relationship is moderated by store density and product similarity, such that the negative effect is stronger if there are a lot of stores around the central store, or if the neighbor store and central store provide similar products.

This study is the first to investigate the neighborhood effect of online reviews.

Presents the results of a study aimed at investigating the antecedent software development factors that affect quality of final products. By monitoring those causal factors from the early phases of development, one can have a final product of enhanced quality and reduced costs.

The study considered an unprecedentedly large number of 30 C++ object‐oriented systems of varied size and application domains, a comprehensive suite of large number of predictive software design or code measures in one study, and compared their results on a common platform.

It was found that many of the software design or code measures have a significant positive or negative relationship with quality.

The value of the paper lies in the fact that it addresses some of the major problems from which most of the studies conducted in this research domain suffer. The objective and justification of this paper are to address these deficiencies, in addition to validating some of the results obtained in earlier studies. Another important value of the paper lies in the fact that, based on the results of the study, the paper enlists useful lessons learned that can provide some practical insight for practitioners and quality managers.

The purpose of this paper is to examine the effects of foreign trade liberalization and trade reforms on the process of structural upgrading, and explore the extent to which they provide impetus for exports.

This paper accounts for trade liberalization dates, cumulative years in open regime, and the density of 1,006 products in the patterns of comparative advantage for 132 countries from 1975 to 2000. The effects of trade liberalizations and trade reforms in open regime on future export performance are estimated by using various empirical strategies.

This paper finds that the speed of moving from simple poor-country goods to rich-country goods in export depends not only on having a route to nearby goods of increasingly higher value, but also on the increase in the cumulative years in open regime. In particular, a 1 percent change in the relatedness across products with trade reform in open regime increases the probability of exporting a new product by 2.0 percent more.

A contribution of this paper is that it measures the extent to which trade reform in open regime affects the evolution of comparative advantage, even after taking account of the role of relatedness of exported products as in the Hausmann and Klinger (2006, 2007). In this paper, empirical findings of a comprehensive product level cross-country time-series data analysis may contribute to generalize the role of trade reform on structural upgrading not only for a pro-competitive export country like Korea but also for a typical developing country.

Aims to identify the importance of segmentation both as part of the network design process and as an operational tool for correctly allocating products to appropriate supply chains.

The allocation is based upon a wide range of possible factors relating to the characteristics of the product, to the market, to the source and to the geographic/commercial context. The application of this framework is presented in a case study of a global electronics company, where large costs savings were achieved through the segmentation of supply chains.

A logical basis for segmentation is derived and an operational framework developed, which highlights the importance of product value density (PVD), throughput volume and product availability.

Demonstrates the paramount importance of throughput, demand variability/service factor and PVD as the key drivers in the segmentation process.

This study aims to examine the trend of industrial competition between the US and China, which is the most crucial determinant in the future development of the global economy. For decades, the global economy has strengthened the global production network based on the division of labor between countries. Thus, the ripple effect of competition between the two countries should be analyzed in terms of the global production network. Therefore, this study uses the product space model, which explains the development process of industries with comparative advantage by country. We constructed the model based on the products of HS 4-digit code for the 2010–2019 period. The analysis results on the trend of the industrial competitiveness of major countries are as follows. First, the current industrial competitiveness of China is concentrated on low-tech industries. In the case of high-tech items, China shows a tendency of lower export sophistication compared to major manufacturing powerhouses such as Germany, the US, Japan, and Korea. Second, with respect to the possibility of a future industrial structure upgrade evaluated by density, the trend of China overtaking other manufacturing powerhouses is observed. As implied by the product space model, the advancement of the industrial structure through active participation in international trade enhances the industrial competitiveness. Therefore, the outcome of US-China industrial competition depends on who ensures more openness and industrial complexity.

This paper explores how two understudied characteristics of a firm's product portfolio, namely, aging of products and (non)innovativeness of products, affect firm survival. The influence of these product portfolio characteristics on organizational mortality can be observed both at the firm and at the industry levels. Paradoxically, the portfolio's influence at the firm and at the industry levels may go in opposite directions. Specifically, I predict that portfolios with aging products make their firms weaker competitors and survivors. However by weakening these firms, “aging” portfolios reduce competitive pressures at the industry level and, therefore, improve firm survival indirectly by changing industry vital rates. In contrast, firms with innovative product portfolios should be stronger survivors. At the same time, they are likely to intensify competition in the industry and, as a result, diminish survival chances of all firms, including those with innovative products. The analyses of all firms’ product portfolios in the worldwide optical disk drive industry, 1983–1999, support these predictions.