EXPRESS: Prominent Retailer and Intra-brand Competition

2021 ◽  
pp. 002224372110441
Author(s):  
Ruitong Wang ◽  
Yi Zhu ◽  
George John

Online retail search traffic is often concentrated at a “prominent” retailer for a product. The authors unpack the ramification of this pattern on pricing, profit, and consumer welfare in an intra-brand setting. Prominence denotes a larger number of heterogenous search cost consumers starting their search at the prominent retailer than at any other retailer. This analyses show that search traffic concentration can intensify intra-brand competition, can lower average prices of all retailers, and can improve consumer welfare. Interestingly, the prominent retailer's incremental traffic advantage can increase or reduce its own profit; the authors denote these as the “blessing” and “curse” of prominence respectively. The authors extend their analysis to a setting where consumers consider searching only amongst those retailers of whom they are individually aware of; the prominent retailer is included in all these individual awareness sets. The effects on market average prices and welfare carry over, but only below a critical threshold level of the prominent retailer's first-search traffic advantage. Above this threshold, market average prices rise and welfare decreases, making this the region where search concentration warrant scrutiny from policy makers. The authors close with policy remedies, and managerial implications of search concentration.

2015 ◽  
Vol 29 (4) ◽  
pp. 302-313 ◽  
Author(s):  
Steven D'Alessandro ◽  
Lester Johnson ◽  
David M. Gray ◽  
Leanne Carter

Purpose – The purpose of this paper is to adapt the market performance indicator (MPI), used by the European Commission to evaluate market conditions, over time, to show that the MPI explains actual switching behavior better than stated intent and satisfaction. While research on service provider switching has focused on the outcomes of service transactions and the benefits of switching, there is little research on how consumers view market conditions as being favorable or not for switching. Design/methodology/approach – The authors used a mixed methodology of focus groups and longitudinal survey research of cell phone consumers to evaluate the effect of the MPI on satisfaction, perceptions of value, switching intentions and behavior. Findings – The MPI was found to influence perceptions of satisfaction and value, and was found to contribute strongly to actual switching behavior. The results also showed that an improvement in the MPI or market conditions lead to a much greater relationship between it and actual switching behavior, suggesting that there may well be important threshold level, upon which greater switching behavior occurs. Originality/value – The MPI provides marketers and policy-makers with benchmarks to compare the consumer welfare of different markets in different countries. Switching studies with MPI figures can be more easily generalized to different contexts.


2008 ◽  
Vol 86 (10) ◽  
pp. 1095-1100 ◽  
Author(s):  
Steve C. Dinsmore ◽  
David L. Swanson

Freezing survival may differ among winters in chorus frogs ( Pseudacris triseriata (Wied-Neuwied, 1838)), and low freezing survival is associated with low hepatic glycogen stores. The pattern of prehibernation liver glycogen accumulation in chorus frogs is unknown. Frogs might accumulate hepatic glycogen stores until a threshold level sufficient for winter survival is attained, after which frogs enter hibernation (critical threshold hypothesis). According to this model, frogs active late in the season should only be those with low hepatic glycogen stores. Alternatively, hepatic glycogen levels might continue to increase throughout the fall as long as frogs remain active (continuous increase hypothesis). We tested these hypotheses by measuring liver and leg muscle glycogen, glucose, and glycogen phosphorylase activities in chorus frogs throughout the fall prehibernation period in southeastern South Dakota. Hepatic glycogen levels were significantly related to date and increased throughout the fall period, consistent with the continuous increase hypothesis. This suggests that hepatic glycogen levels do not serve as a cue for entrance into hibernation. Liver phosphorylase activity did not vary significantly with progression of the fall season and activity was lower than in winter, suggesting that the winter increment of phosphorylase activity requires some stimulus during hibernation (e.g., low temperatures).


2020 ◽  
Vol 57 (5) ◽  
pp. 900-916
Author(s):  
Baojun Jiang ◽  
Tianxin Zou

This article examines how the consumer’s search cost and filtering on a retail platform affect the platform, the third-party sellers, and the consumers. The authors show that, given the platform’s percentage referral fee, a lower search cost can either increase or decrease the platform’s profit. By contrast, if the platform optimally adjusts its referral fee, a lower search cost will increase the platform’s profit. As the consumer’s search cost decreases, if the platform’s demand elasticity increases significantly, the platform should reduce its fee, potentially resulting in an all-win outcome for the platform, the sellers, and the consumers; otherwise, a lower search cost will increase the platform’s optimal fee percentage, potentially leading to higher equilibrium retail prices. Furthermore, the availability of filtering on the platform will in expectation induce consumers to search fewer products but buy products with higher match values, and filtering can either increase or decrease equilibrium retail prices. When filtering reveals only a small amount of the products’ match-value variations, it will benefit the platform, the sellers, and the consumers. This article shows that the effects of filtering and those of a decrease in search cost are qualitatively different.


Author(s):  
O P Sharma ◽  
Niranjan Singh ◽  
Archana Bhardwaj ◽  
S Vennila ◽  
Someshwar Bhagat ◽  
...  

“E-National Pest Reporting and Alert System” in pulse crops is a unique ICT based decision support system, which is very effective and easy to operate through a centralized server system at National Centre for Integrated Pest Management, New Delhi, connected with internet and mobile phones. This system has developed to cater to the needs of rural farmers of India, who grow pulse crops. The useful information is collected, stored, processed, and interpreted, and the appropriate advisories are sent to the registered farmers through centralized server system. They apply suitable corrective measures as per advisories at right time, and thereby, heavy loss caused by various pests can be checked/minimized below economic threshold level. Based on the past experiences and larger response of the stakeholders, Department of Agriculture and Cooperation, Govt. of India, suggested that this program should be extended and implemented in all pulse growing states. This system is quiet useful bottom to top level officials/policy makers, involved in E-Pest Surveillance programme.


2020 ◽  
Vol 16 (1) ◽  
pp. 21-30 ◽  
Author(s):  
Larry Sau Kei Leung

The importance of positive word of mouth (WOM) and repurchasing in competitive online retail environments demands their further study. Although customer satisfaction has been found to drive positive WOM and repurchasing, limited research has explored what type of customers feel more satisfied with online shopping. It was anticipated that the convenient nature of online shopping would better match the conscientious personality traits of customers with earlier sleep and wake times. Data collected from 334 Indian college students participating in this study using a snowball sampling method were analysed by multiple regression. As hypothesised, based on self-congruency theory, customers with earlier sleep and wake times were found to feel more satisfied with online shopping, which in turn enhanced their positive WOM and increased repurchase intention. Theoretical and managerial implications are discussed.


2018 ◽  
Vol 14 (4) ◽  
pp. 494-526 ◽  
Author(s):  
Miguel de la Mano ◽  
Jorge Padilla

Abstract In this paper we explore the likely implications of the entry of Big Tech platforms into retail banking and the appropriate response of regulators and policy makers to this new industry development. We find that the entry of Big Tech platforms may transform the banking industry in radical ways: although it may possibly increase competition to the benefit of consumers in the short term, within a few years Big Tech companies may succeed in monopolizing the origination and distribution of loans to consumers and Small and Medium Enterprises (SMEs), forcing traditional banks to become “low cost manufacturers,” which merely fund the loans intermediated by the Big Techs. This situation may harm competition, reduce consumer welfare, and bring about an increase in financial instability in the medium or long term. We analyze alternative policy responses aimed at maximizing the positive impact on consumer welfare of Big Tech entry while limiting the risk of monopolization as well as the potential adverse implications of such entry on market integrity and financial stability.


2018 ◽  
Vol 32 (32) ◽  
pp. 202-221
Author(s):  
Agnieszka Sałek-Imińska

In the modern world an undoubted increase in the economic factor of maintaining the security of states is observed. Economic security is an important element of the functioning of national economies, including the states of the eastern flank of NATO. Perceiving economic security as a balance of development needs of these states we can identify several areas of activity of its quantifiers, which can include development, infrastructure and balance opportunities and needs. To determine the levels of these quantifiers, we must use a carefully selected set of meters. One of them is Gross Domestic Product (GDP) which clearly describes the measurable features present in the analyzed national economies. The objective of this article is to attempt to indicate the level of the economic security of NATO’s eastern flank states in terms of the level of economic growth measured by GDP. From an autonomous perspective, this meter does not give grounds for expressing value judgments in the context of the widely understood level of economic security, but it constitutes their necessary component and basis for further analyzes and evaluations. For the needs of the elaboration, an assumption was made, being a simplification of the economic reality, indicating that changes in annual GDP will show the level of the economic security of NATO’s eastern flank states. Hence, an increase in GDP growth lower than 1.9% in a period, which the analysis refers to, is a sign of a decrease in the level of economic security of a given state and vice versa. In all the states of NATO’s eastern flank, an improvement in its level was observed, where in 2017 in all the states of NATO’s eastern flank the rate of GDP growth was higher than the assumed critical threshold level of 1.9%. Years 2014–2016 also constitute a period of improvement in the level of the economic security of the analyzed states, except for Bulgaria in 2014, Estonia and Lithuania in 2015 and Estonia in 2016. While the period from 2008 to 2013 is a period when the level of the economic security of the states of NATO’s eastern flank is diverse and there are no indications that it improved. In the context of the analyzed problem, the best years were 2008 and 2011, for which GDP growth was the highest. In 2008 Estonia, Latvia and Hungary were those that did not reach the critical threshold (decline in economic security). The other six states were characterized by an increase in the level of economic security. The following year is a period when all the states (except for Poland) did not register any improvement. This resulted from a general economic recession, which was observed in the region of Central and Eastern Europe. Considering the number of years for which the assumed critical threshold level of 1.9% was not reached, we can claim that the economy of Poland (2 periods: 2012–2013), and then Czech Republic, Lithuania, Latvia and Slovakia (3 periods), Romania (4 years) and Bulgaria, Estonia and Hungary (5 years) were characterized by the highest level of economic security in the analyzed period.


2007 ◽  
Vol 12 (5) ◽  
pp. 653-671 ◽  
Author(s):  
LUCA BOLZONI ◽  
GIULIO A. DE LEO

In the epidemiological literature, the eradication of a wildlife disease through culling is usually described in terms of a constant hunting rate to simulate the selective removal of animals from the population. By using simple SI (susceptible–infected) models, it is easy to prove that, if the hunting rate is high enough, the population eventually drops below a critical threshold level under which the pathogen is deemed to be extinct. However, hunting costs as well as the monetary benefits of disease control are almost systematically neglected. Moreover, the hunting rate is usually assumed to be constant over time, while in reality health authorities can implement more flexible culling policies. In this work we examine a class of more realistic time-variant culling strategies in a cost–benefit framework. Culling strategies differ in the way decisions are made about when and how much to cull; that is, whether hunting occurs when disease prevalence, host population density, or the number of carcasses exceeds (or is below) a given threshold. For each culling strategy, the optimal value of the control parameters and the hunting rate are those that minimize the sum of the culling costs and the sanitary costs associated with infection over a specific period of time. Classical swine fever (CSF) in wild boar populations has been taken as a reference example because of its potential economic impact on industrialized and developing countries.We show that the optimal time-flexible culling strategy is invariably more efficient than the best traditional strategy in which the hunting rate is held constant through time. We also show that the type of hunting strategy that is selected as optimal depends on the shape of the cost functions.


Author(s):  
Michael Bernon ◽  
John Cullen ◽  
Jonathan Gorst

Purpose – With the rapid growth of consumer sales being fulfilled through omni-channel retailing, the purpose of this paper is to explore the subsequent impact on the levels of consumer retail returns experienced through online sales and the emergent returns management strategies being affected by retailers in relation to network configuration and returns management processes. Design/methodology/approach – The authors uses a mixed methods approach from an interpretive perspective. It is appropriate to describe the approach in terms of convergent design, since the authors have collected both qualitative and quantitative data. Findings – Return rates for online retailing can be double those for stores, while return levels for “considered purchases” remain similar. The findings suggest that omni-channel returns management has yet to fully mature and the authors find challenges for network design and returns processes in offering a seamless solution. Research limitations/implications – For practitioners the authors identify a number of challenges and offer insights to improve performance in returns management process, while for academic colleagues the authors propose a number of avenues for further research both in the qualitative and quantitative fields. Originality/value – While a significant body of extant literature exists, in researching the generalized retail returns management process this paper make a contribution by addressing the emergent managerial implications of omni-channel retail returns.


1997 ◽  
Vol 34 (4) ◽  
pp. 988-1008 ◽  
Author(s):  
George Christakos ◽  
Dionissios T. Hristopulos

We formulate stochastic indicator parameters that characterize pollution levels in geographical regions with heterogeneous contaminant distributions. The indicator parameters are expressed in terms of the random fields representing the contaminant distributions and the critical threshold level specified by health and environmental standards. Certain theoretical results are proven regarding univariate and bivariate indicator parameters. The analytical expressions obtained are general and can be used in practice for various types of contaminant distributions. A test of ergodicity-breaking is suggested for scientific and engineering applications in terms of the indicator parameters. Fractal characteristics of the indicator parameters are discussed. The effects of modelling and observation scale on exceedance contamination analysis are examined. Indicator random field parameters are studied on both continuum and lattice domains using analytical means and numerical simulations.


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