Private Label Vendor Selection in a Supply Chain: Quality and Clientele Effects

We model a supply chain consisting of a national brand manufacturer and an independent manufacturer, both of whom are potential suppliers of store brand to a single retailer. The retailer serves two customer segments—a quality sensitive segment (high type) and a price sensitive (low type) segment. The retailer serves these two segments by targeting the national and store brands to the quality and price sensitive segments, respectively. When the national brand manufacturer supplies the store brand he internalizes the effect of store brand quality on the national brand's retail prices. This leads the national brand manufacturer to choose a lower store brand quality than the independent manufacturer. This decrease in store brand quality has the benefit of increased revenues from the high type customers along with an associated cost of decreased revenues from the low type customers. Thus, when the benefit outweighs the cost the retailer chooses the national brand manufacturer to supply the store brand. We show that the retailer will choose the national brand manufacturer to supply the store brand when (a) the size of the high type customer segment is large relative to the low type customer segment, (b) the valuations of the high type customer segment is large relative to the low type customer segment, and (c) the retailer's margin requirement on the store brand is not very high. Overall, these results suggest that retailers who serve a bigger sized quality (price) sensitive clientele would have the national brand (independent) manufacturer supply the store brand.     

Antecedents of Taiwan Chinese Consumers’ Purchase Intentions Toward U.S.- and Japanese-Made Household Appliances

ABSTRACT

The purpose of this article is to understand the factors influencing Taiwan's Chinese consumers’ purchase intentions toward U.S. and Japanese household appliances. The authors attempt to develop and test a comprehensive model linking such purchase intentions to several constructs including Taiwan Chinese consumers’ openness to foreign cultures, consumer nationalism, product familiarity, traditional cultural values orientation, and product-country image. The result of analysis using structural equation modeling shows that consumer nationalism has a strong indirect effect on purchase intention via the product-country image construct. Taiwan Chinese consumers’ traditional cultural values orientation and openness to foreign cultures have direct effects on consumer nationalism and, hence, are important antecedents in explaining the purchase intentions toward foreign-made goods by Taiwan Chinese consumers. With the growing importance of the Chinese domestic market, this study provides international marketing managers with practical implications in important areas such as market segmentation, branding strategy, and market research and practices in the Chinese consumer market.     

Optimal product strategies in the presence of network externalities

A network externality exists when a user’s benefit from a product increases with the number of other users in the same network. We examine the possibility that a software firm may exploit network externalities by introducing a limited feature version of its commercially available software into the market. The two versions need not be perfectly compatible and network externalities are allowed to decline as the difference between the versions increases. We obtain conditions under which introducing a limited feature version is optimal.     

Opening Constructive Dialogues Between Business Ethics Research and the Sociology of Morality: Introduction to the Thematic Symposium

Journal of Business Ethics - Over the last decade, scholars across the wide spectrum of the discipline of sociology have started to reengage with questions on morality and moral phenomena. The...     

REVIEW OF LITERATURE ON WORKING CAPITAL MANAGEMENT AND FUTURE RESEARCH AGENDA

The purpose of this study is to take a stock of what has been studied on working capital management (WCM) so far and ascertain the factors which are more likely to be impacted by poor WCM. Moreover, it aims to spell out the areas for further research on WCM so that the body of knowledge can be expanded. A systematic literature review of the research works on WCM has been performed using Google Scholar. Articles with citations of 50 and above as of June 05, 2018 are considered for the detailed citation based analysis. Further, classification of such articles has been done on the basis of common themes followed by a thorough content analysis. The citation based analysis suggests that there is a growing popularity of studies related to WCM in recent times. However, majority of the impactful studies are published in relatively lower category journals. This further intrigues us to explore the content of such studies. Based on the content, the studies are classified under five different themes. It is found that majority of the highly cited articles have examined the relation between the WCM and profitability of the firms. Moreover, repetitive uses of few proxies in such studies have also been identified. This finding most probably explains the reason behind so many highly cited articles getting published in relatively lower category journals. In view of this, this study tries to explore further scope of research on WCM and lists down potential research questions for the future researches. Firstly, it provides an idea about the most cited area of researches related to WCM and the recent growth of studies in this domain. Academicians can decide upon their future area of research based on the findings related to the proxies and outcome from these studies. Secondly, it shows the most popular avenue of publishing the articles related to WCM which will certainly motivate the researchers to pursue such study. It has been found from the analysis that majority of the impactful articles are published in lower category journals. Therefore, this study identifies the reason behind the same and lists down some innovative research questions to provide some future research directions. Thirdly, the finance managers can use this finding to identify the relevant consequences of poor WCM. Finally, it can serve as a reference point for all future ideas related to WCM. The paper classifies the present literature on WCM into five major themes and performs a content analysis of the same. This is essential as the content analysis highlights different proxies used as inputs which effectively drive efficient WCM. Moreover, the study also identifies the huge scope of future research in the domain of WCM. According to our limited knowledge, such extensive literature review on WCM is rare.     

Shannon's Entropy and Its Generalisations Towards Statistical Inference in Last Seven Decades

Starting from the pioneering works of Shannon and Weiner in 1948, a plethora of works have been reported on entropy in different directions. Entropy‐related review work in the direction of statistical inference, to the best of our knowledge, has not been reported so far. Here, we have tried to collect all possible works in this direction during the last seven decades so that people interested in entropy, specially the new researchers, get benefited.     

Risk premia in forward foreign exchange rates: a comparison of signal extraction and regression methods

We investigate possible presence of time-varying risk premia in forward pound, yen, and Euro monthly exchange rates versus the US dollar over the last two decades. We study this issue using regression techniques and separately using a signal plus noise model. Our models account for time-varying volatility and non-normality in the observed series. Our regression model rejects the hypothesis that the forward rate is an unbiased predictor of future spot exchange rate, indicating the existence of time-varying risk premium under rational expectations. Our signal plus noise model reveals a time-varying risk premium component in yen and Euro. The same model provides evidence for the presence of risk premium in pound over a shorter sample period, though not over the entire sample. We conclude that risk premia exist, although we may fail to detect these for some currencies over specific time periods.     

Markov-switching model selection using Kullback–Leibler divergence

In Markov-switching regression models, we use Kullback–Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously. Specifically, we derive a new information criterion, Markov switching criterion (MSC), which is an estimate of KL divergence. MSC imposes an appropriate penalty to mitigate the over-retention of states in the Markov chain, and it performs well in Monte Carlo studies with single and multiple states, small and large samples, and low and high noise. We illustrate the usefulness of MSC via applications to the U.S. business cycle and to media advertising.     

The core of some location games

An important problem in Location Theory is that of assigning plants to locations in an optimal manner. In the context of this problem, recognizing interplant transportation costs, Koopmans and Beckmann (1957) introduced the Quadratic Assignment Problem (QAP). It is shown in this paper that when the QAP is formulated as a cooperative location game, its core may be empty. By contrast, the core of the game corresponding to thelinear assignment problem (where transportation costs are disregarded) is assured to be non-empty. Some conditions under which the core is non-empty are discussed.I am grateful to two anonymous referees of this journal for their comments.     

Optimal univariate inflation forecasting with symmetric stable shocks

Monthly inflation in the United States indicates non-normality in the form of either occasional big shocks or marked changes in the level of the series. We develop a univariate state space model with symmetric stable shocks for this series. The non-Gaussian model is estimated by the Sorenson–Alspach filtering algorithm. Even after removing conditional heteroscedasticity, normality is rejected in favour of a stable distribution with exponent 1·83. Our model can be used for forecasting future inflation, and to simulate historical inflation forecasts conditional on the history of inflation. Relative to the Gaussian model, the stable model accounts for outliers and level shifts better, provides tighter estimates of trend inflation, and gives more realistic assessment of uncertainty during confusing episodes. © 1998 John Wiley & Sons, Ltd.