An Examination of Consumer Behavior on eBay Motors

2011 ◽  
pp. 40-57
Author(s):  
Mark P. Sena ◽  
Gerald Braun
Keyword(s):  
Consumer Behavior ◽  
Product Category ◽  
Past Research ◽  
Internet Auctions ◽  
Blue Book ◽  
Economic Relationships ◽  
Online Marketplaces ◽  
Research Questions ◽  
Ebay Motors ◽  
Important Extension

With annual sales of $7.5 billion, eBay Motors has become one of the most important online marketplaces. For several years, researchers have used eBay transactions as a mechanism for examining consumer behavior and economic relationships in Internet auctions. As automobiles have emerged as the leading product category on eBay, research focused specifically on eBay Motors is an important extension to this line of research. This study builds on past research by examining research questions using a sample of 126 eBay Motors exchanges along with benchmark pricing data from Kelley Blue Book. The findings of the study suggest that, within selected data ranges, such factors as seller feedback ratings, number of pictures in item description, and seller type (dealer vs. individual) may affect the percentage of retail value that sellers are able to earn in eBay Motors auctions.

An Examination of Consumer Behavior on eBay Motors

2008 ◽  
pp. 1552-1565
Author(s):  
Mark P. Sena ◽  
Gerald Braun
Keyword(s):  
Consumer Behavior ◽  
Product Category ◽  
Past Research ◽  
Internet Auctions ◽  
Blue Book ◽  
Economic Relationships ◽  
Online Marketplaces ◽  
Research Questions ◽  
Ebay Motors ◽  
Important Extension

With annual sales of $7.5 billion, eBay Motors has become one of the most important online marketplaces. For several years, researchers have used eBay transactions as a mechanism for examining consumer behavior and economic relationships in Internet auctions. As automobiles have emerged as the leading product category on eBay, research focused specifically on eBay Motors is an important extension to this line of research. This study builds on past research by examining research questions using a sample of 126 eBay Motors exchanges along with benchmark pricing data from Kelley Blue Book. The findings of the study suggest that, within selected data ranges, such factors as seller feedback ratings, number of pictures in item description, and seller type (dealer vs. individual) may affect the percentage of retail value that sellers are able to earn in eBay Motors auctions.

scholarly journals Ecodesign—A Review of Reviews

2020 ◽  
Vol 13 (1) ◽  
pp. 315
Author(s):  
Malte Schäfer ◽  
Manuel Löwer
Keyword(s):  
Success Factors ◽  
Research Question ◽  
Pollution Prevention ◽  
Past Research ◽  
The Past ◽  
Review Articles ◽  
Complete Life Cycle ◽  
Review Of Reviews ◽  
Research Questions ◽  
Over Time

With the intent of summing up the past research on ecodesign and making it more accessible, we gather findings from 106 existing review articles in this field. Five research questions on terminology, evolution, barriers and success factors, methods and tools, and synergies, guide the clustering of the resulting 608 statements extracted from the reference. The quantitative analysis reveals that the number of review articles has been increasing over time. Furthermore, most statements originate from Europe, are published in journals, and address barriers and success factors. For the qualitative analysis, the findings are grouped according to the research question they address. We find that several names for similar concepts exist, with ecodesign being the most popular one. It has evolved from “end-of-pipe” pollution prevention to a more systemic concept, and addresses the complete life cycle. Barriers and success factors extend beyond the product development team to management, customers, policymakers, and educators. The number of ecodesign methods and tools available to address them is large, and more reviewing, testing, validation, and categorization of the existing ones is necessary. Synergies between ecodesign and other research disciplines exist in theory, but require implementation and testing in practice.

Fulfilment time performance of online retailers – an empirical analysis

2019 ◽  
Vol 47 (5) ◽  
pp. 493-510 ◽  
Author(s):  
Jingran Zhang ◽  
Sevilay Onal ◽  
Rohit Das ◽  
Amanda Helminsky ◽  
Sanchoy Das
Keyword(s):  
Product Category ◽  
Performance Measure ◽  
Time Difference ◽  
Online Retail ◽  
Content Type ◽  
Time Performance ◽  
Online Retailers ◽  
Order Fulfilment ◽  
Research Questions ◽  
The Difference

Purpose Fast fulfilment is a key performance measure in online retail, and some retailers have achieved faster times by adopting new designs in their order fulfilment infrastructure. This research empirically confirms and quantifies the fulfilment time advantage that Amazon has achieved, relative to other online retailers. The purpose of this paper is to investigate three research questions: what is the overall mean fulfilment time difference between the new logistics designs of Amazon and the alternative designs of other retailers? For each order what is the distribution of the fulfilment time difference? What is the difference in fulfilment time by product category, price and size? Design/methodology/approach This research uses an empirical method to evaluate the fulfilment time performance of consumer orders made through the Amazon website and one or more competing online retailers. For 1,000 different products two fulfilment times, one at Amazon and another at a competing omnichannel retailer, are recorded. The analysis is then focused on the comparison between this paired data. Findings The research confirms that the new logistics methods, including physical facilities, distribution networks and intelligent order processing methods, have resulted in faster order fulfilment times. The performance, though, is not universally dominant and for 33 per cent of orders, the difference is 1 day or less. The fulfilment time difference varied by product, category, price or size. Practical implications The ongoing transformation of fulfilment and logistics operations at online retailers has generated several new research questions. This includes the need to confirm the fulfilment efficiency of the new designs and specify time targets. This paper identifies the fulfilment time gap between new and traditional operations. The results suggest that store-based or distribution centre-based fulfilment strategies may not match the new designs. Originality/value The study provides a quantitative analysis of the fulfilment time differentials in online retailing. The critical role of fulfilment logistics in the rapidly growing online retail industry can now be better modelled and studied. The survey method representing a single buyer allows for order pair equivalency and eliminates order bias. The results suggest that new warehousing and logistics designs can lead to significantly faster fulfilment times.

Policy analysis in Canada: an introduction

2018 ◽  
pp. 1-24
Author(s):  
Laurent Dobuzinskis ◽  
Michael Howlett
Keyword(s):  
Decision Making ◽  
Policy Analysis ◽  
Significant Variation ◽  
Program Planning ◽  
Past Research ◽  
Policy Advice ◽  
The Other ◽  
Policy Debates ◽  
Research Questions

The ILPA series of country studies displays some significant variation between jurisdictions in terms of the timing and purview of analysis and also shows how the movement towards the application of scientific precepts to policy questions continues to be moderated by adherence to older, more partisan political modes of decision-making and program planning. Despite a discernible trend toward the professionalization of policy advice in most countries, a variety of actors continue to contribute diverse ideas to policy debates, with policy advice systems, and their analytical components, taking diverse forms across nations, sectors and levels of government. In this volume, we present a more systematic and comparative up-to-date understanding of policy analysis practices in Canada than has hitherto been available. This introduction provides an overview of past research into the area and outlines a series of topics and research questions which are addressed in the other contributions to the book.

Lower alcohol wines in the UK market: some baseline consumer behaviour metrics

2014 ◽  
Vol 116 (7) ◽  
pp. 1143-1161 ◽  
Author(s):  
Johan Bruwer ◽  
Vladimir Jiranek ◽  
Lulie Halstead ◽  
Anthony Saliba
Keyword(s):  
Low Income ◽  
Online Survey ◽  
Consumer Behaviour ◽  
Product Category ◽  
Research Information ◽  
Content Type ◽  
Lower Alcohol ◽  
Research Questions ◽  
Profile Characteristics ◽  
The Uk

Purpose – The purpose of this paper is to provide clearer insights into and identify the key consumer behaviour metrics of the lower alcohol category (<11 per cent ABV) in the UK wine market. Design/methodology/approach – Data were collected via an online survey from a sample size of 598 regular UK wine drinkers. To operationalise the study, five research questions were formulated. A highly structured quantitatively directed questionnaire was designed to find the answers to the research questions. Findings – Barriers to a larger uptake of the product category included non-availability of the products, lower quality perceptions, taste issues, lack of awareness, lack of alcohol's “feel effect” and absence of a lower alcohol drinking occasion. Many UK consumers are not yet convinced how/if lower alcohol wine fits into their wine drinking occasions. The lower ABV wine buyer's main profile characteristics are weighted towards females, Millennial and Baby Boomer age generations, mostly mid to low income, who drink mainly white and rosé wines. Lower alcohol on its own is not seen as a big benefit, thus lower ABV wines should be more creatively communicated to sell the benefits. Originality/value – This study contributes to the knowledge base in that it is the first to investigate consumer behaviour metrics as regards lower ABV wine in one of the world's leading markets, in the process providing some important baseline research information on this category. As such it is of value to academic researchers and practitioners alike.

scholarly journals Consumers Choosing Retailers On Online Marketplaces: How Can Retailers Differentiate Apart From The Price? – An Exploratory Investigation

2020 ◽  
Vol 1 (1) ◽  
pp. 27-36
Author(s):  
Manuel Adler ◽  
Atilla Wohllebe
Keyword(s):  
Binary Logistic Regression ◽  
Previous Experience ◽  
Purchase Decisions ◽  
Profit Margins ◽  
Online Marketplace ◽  
Online Marketplaces ◽  
Exploratory Investigation ◽  
Research Questions ◽  
Time Price ◽  
The Right

Online marketplaces are becoming increasingly important for many traders. At the same time, price transparency is a challenge. To secure their profit margins and to be able to convince consumers outside of pricing, it is therefore important for retailers in online marketplaces to understand which factors besides pricing influence the purchasing decision of consumers. This paper focuses therefore on situations where the decision for a certain product is already made and where consumers are only looking for the right retailer in an online marketplace. This paper uses a binary logistic regression to investigate what consumers previous experience with retailers is and how it influences them, apart from price, delivery time, ratings and the consumer's previous experience with the retailer have. The investigation is based on 700 purchase decisions collected in a survey. The paper provides important insights into which aspects retailers should focus on in order to be able to sell successfully via marketplaces even outside of a price war. In addition, the paper suggests more in-depth research questions.

scholarly journals Examining the existence of double jeopardy and negative double jeopardy within Twitter

2017 ◽  
Vol 51 (7/8) ◽  
pp. 1224-1247 ◽  
Author(s):  
Andrew Rogers ◽  
Kate L. Daunt ◽  
Peter Morgan ◽  
Malcolm Beynon
Keyword(s):  
Product Category ◽  
Past Research ◽  
Valuable Insight ◽  
Online Environment ◽  
Double Jeopardy ◽  
Content Type ◽  
Product Categories ◽  
Fuzzy C Means Clustering ◽  
Managerial Implications ◽  
Contrasting View

Purpose The theory of double jeopardy (DJ) is shown to hold across broad ranging geographies and physical product categories. However, there is very little research appertaining to the subject within an online environment. In particular, studies that investigate the presence of DJ and the contrasting view point to DJ, namely, that of negative double jeopardy (NDJ), are lacking. This study aims to contribute to this identified research gap and examines the presence of DJ and NDJ within a product category, utilising data from Twitter. Design/methodology/approach A total of 354,676 tweets are scraped from Twitter and their sentiment analysed and allocated into positive, negative and no-opinion clusters using fuzzy c-means clustering. The sentiment is then compared to the market share of brands within the beer product category to establish whether a DJ or NDJ effect is present. Findings Data reveal an NDJ effect with regards to original tweets (i.e. tweets which have not been retweeted). That is, when analysing tweets relating to brands within a defined beer category, the authors find that larger brands suffer by having an increased negativity amongst the larger proportion of tweets associated with them. Research limitations/implications The clustering approach to analyse sentiment in Twitter data brings a new direction to analysis of such sentiment. Future consideration of different numbers of clusters may further the insights this form of analysis can bring to the DJ/NDJ phenomenon. Managerial implications discuss the uncovered practitioner’s paradox of NDJ and strategies for dealing with DJ and NDJ effects. Originality/value This study is the first to explore the presence of DJ and NDJ through the utilisation of sentiment analysis-derived data and fuzzy clustering. DJ and NDJ are under-explored constructs in the online environment. Typically, past research examines DJ and NDJ in separate and detached fashions. Thus, the study is of theoretical value because it outlines boundaries to the DJ and NDJ conditions. Second, this research is the first study to analyse the sentiment of consumer-authored tweets to explore DJ and NDJ effects. Finally, the current study offers valuable insight into the DJ and NDJ effects for practicing marketing managers.

scholarly journals Demographics and consumer ethnocentrism in a developing context: A South African study

2014 ◽  
Vol 17 (4) ◽  
pp. 412-426 ◽  
Author(s):  
Chris D Pentz ◽  
Nic S Terblanche ◽  
Christo Boshoff
Keyword(s):  
South Africa ◽  
Consumer Behavior ◽  
Ethnic Diversity ◽  
Influencing Factor ◽  
Negative Relationship ◽  
Past Research ◽  
Unique Contribution ◽  
Consumer Ethnocentrism ◽  
Developing Markets ◽  
The Relationship

The continued growth in international trade results in the fact that consumers in many countries are exposed to increasing amounts of product offerings from various countries of origin. As the origin of products might have an influence on consumer behavior, many marketers realize that extended knowledge on consumer behavior toward both domestic and imported products can be useful in the formulation of more effective marketing strategies.  Past research in the field of international marketing suggest that the concept of consumer ethnocentrism can be an influencing factor in the decision of consumers to purchase locally-produced rather than imported products. While the concept of consumer ethnocentrism has been actively researched in a number of contexts and countries, research on this phenomenon has been limited in developing countries. The present study aims to add to the existing body of knowledge on consumer ethnocentrism in developing markets by investigating the possible relationships between consumer ethnocentrism and a number of demographic variables in South Africa. A unique contribution of this study is that the investigation focused on two different samples in terms of race, namely on a sample of “white” respondents and a sample of “black” respondents to account for the ethnic diversity in South Africa.  The results of the study revealed that for both groups of respondents there was a positive relationship between age and consumer ethnocentrism, while a negative relationship was found for both groups in terms of the relationship between consumer ethnocentrism and income.  In terms of the relationship between consumer ethnocentrism and gender, the results differed between the two groups of respondents.  The findings can be used rewardingly by marketers wishing to operate more successfully in developing markets, such as South Africa.

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