Frontiers: The Impact of Ad-Blockers on Online Consumer Behavior

2021 ◽  
Author(s):  
Vilma Todri
Keyword(s):  
Consumer Behavior ◽  
Panel Data ◽  
Online Search ◽  
Data Set ◽  
Online Consumer Behavior ◽  
Online Consumer ◽  
The Impact

This paper investigates the impact of ad-blockers on online search and purchasing behaviors by empirically analyzing a consumer-level panel data set.

Online Consumer Behaviors Trigger Drastic Distribution Changes

2021 ◽  
pp. 303-321
Author(s):  
Mitsunori Hirogaki
Keyword(s):  
Consumer Behavior ◽  
Case Studies ◽  
Distribution Channel ◽  
Retail Market ◽  
Online Technology ◽  
Online Consumer Behavior ◽  
Channel Strategy ◽  
Retail Strategy ◽  
Online Consumer ◽  
The Impact

In this chapter, the author investigated the characteristics of online consumer behavior regarding the grocery retail market and their impact on retailers' distribution channel strategies. It examined the impact of recent innovations and the globalization of online technology on retail strategy. To achieve these goals, this study analyzed case studies of online consumer behavior in the Japanese online grocery market. Not only has there been a dramatic increase in sales over the last decade, but there have also been significant changes in both online technology and distribution channel strategy in this market. Underlying this transformation is the influence of Japan's characteristic online consumer behavior. Based on an empirical analysis of Japanese consumers and several case studies, this chapter predicts the future features of the online grocery market.

A comparative study of online consumer behavior: a tale of two research methods

2019 ◽  
Vol 15 (4) ◽  
pp. 716-727 ◽  
Author(s):  
Kun-Huang Huarng ◽  
Tiffany Hui-Kuang Yu
Keyword(s):  
Consumer Behavior ◽  
Linear Regression ◽  
Research Methods ◽  
Data Sets ◽  
Multiple Relationships ◽  
Data Set ◽  
Content Type ◽  
Online Consumer Behavior ◽  
Online Consumer ◽  
Different Characteristics

Purpose The use of linear regression analysis is common in the social sciences. The purpose of this paper is to show the advantage of a qualitative research method, namely, structured qualitative analysis (SQA), over the linear regression method by using different characteristics of data. Design/methodology/approach Data were gathered from a study of online consumer behavior in Taiwan. The authors changed the content of the data to have different sets of data. These data sets were used to demonstrate how SQA and linear regression works individually, and to contrast the empirical analyses and empirical results from linear regression and SQA. Findings The linear regression method uses one equation to model different characteristics of data. When facing a data set containing a big and a small size of different characteristics, linear regression tends to provide an equation by modeling the characteristics of the big size data and subsuming those of the small size. When facing a data set containing similar sizes of data with different characteristics, linear regression tends to provide an equation by averaging these data. The major concern is that the one equation may not be able to reflect the data of various characteristics (different values of independent variables) that result in the same outcome (the same value of dependent variable). In contrast, SQA can identify various variable combinations (multiple relationships) leading to the same outcome. SQA provided multiple relationships to represent different sizes of data with different characteristics so it created consistent empirical results. Research limitations/implications Two research methods work differently. The popular linear regression tends to use one equation to model different sizes and characteristics of data. The single equation may not be able to cover different behaviors but may lead to the same outcome. Instead, SQA provides multiple relationships for different sizes of data with different characteristics. The analyses are more consistent and the results are more appropriate. The academics may re-think the existing literature using linear regression. It would be interesting to see if there are new findings for similar problems by using SQA. The practitioners have a new method to model real world problems and to understand different possible combinations of variables leading to the same outcome. Even the relationship obtained from a small data set may be very valuable to practitioners. Originality/value This paper compared online consumer behavior by using two research methods to analyze different data sets. The paper offered the manipulation of real data sets to create different data sizes of different characteristics. The variations in empirical results from both methods due to the various data sets facilitate the comparison of both methods. Hence, this paper can serve as a complement to the existing literature, focusing on the justification of research methods and on limitations of linear regression.

Lady first? The gender difference in the influence of service quality on online consumer behavior

2019 ◽  
Vol 10 (3) ◽  
pp. 408-428 ◽  
Author(s):  
Weihua Wang ◽  
Saebum Kim
Keyword(s):  
Gender Differences ◽  
Consumer Behavior ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Self Regulation ◽  
Content Type ◽  
Online Consumer Behavior ◽  
Online Consumer ◽  
The Impact

Purpose This paper aims to articulate the gender differences in the influence of service quality on online consumer behavior. Design/methodology/approach Through data collected via a Web-based questionnaire survey from 330 consumers in China, this study builds and analyzes a structural equation model, using five dimensions of E-service quality, customer satisfaction and customer loyalty, and focuses on the moderation test of gender. Findings This study finds that first, efficiency dimension of e-service quality is of same importance for male and female customers; second, there are significant gender differences in the responsiveness and reliability dimensions of E-service quality, which affect customer satisfaction; third, the impact of female customer satisfaction on customer loyalty is stronger than for male customers. Practical implications Online retailers with limited service resources should preferentially respond to service requests from male customers and provide more reliable services for female consumers under the same condition. Originality/value The research validated the applicability of self-regulation theory in online consumer behavior, explored the occurrence stage and characteristics of gender differences in online consumer behavior under influence of SRT and first found some apparent gender differences in the influence of different dimensions of e-service quality on online consumer behavior.

scholarly journals Impact of the COVID-19 Pandemic on Online Consumer Purchasing Behavior

2021 ◽  
Vol 16 (6) ◽  
pp. 2263-2281 ◽  
Author(s):  
Shengyu Gu ◽  
Beata Ślusarczyk ◽  
Sevda Hajizada ◽  
Irina Kovalyova ◽  
Amina Sakhbieva
Keyword(s):  
Consumer Behavior ◽  
Methodological Approach ◽  
Influential Factors ◽  
Purchasing Behavior ◽  
Buying Behavior ◽  
Market Growth ◽  
Online Consumer Behavior ◽  
Online Consumers ◽  
Online Consumer ◽  
The Impact

With the spread of the COVID-19 pandemic and the increasing importance of e-commerce, the study of online consumer behavior is of particular relevance. The purpose of this study was to form a methodological approach to assess the relationships and the level of influence of the factors activating the purchasing behavior of online consumers against the background of the COVID-19 pandemic. The research methodology was based on the transformation of Cattell’s questionnaire and the implementation of correlation analysis. To determine the predisposition of online consumer behavior at the time of making a purchase decision, this study used the questionnaire method. The survey was conducted among online shoppers in the top 10 countries in terms of e-commerce market growth. The scientific contribution is the proposed methodological toolkit to assess the purchasing behavior of online consumers, which identifies the most influential factors in their purchasing behavior and provides an opportunity to assess the dynamics of their activity during the study period, to identify key trends and determine changes in their behavior. The research revealed what changes in online consumer buying behavior are typical in the COVID-19 pandemic. The impact of consumer awareness and experience has increased. Online consumers have become more experienced, which has influenced the activity of their buying behavior. This study proved the shifting influence of online consumer purchasing behavior factors during the pandemic. The increasing importance of the speed of decision making by consumers when purchasing goods and services online was determined.

scholarly journals Research Jungle on Online Consumer Behaviour in the Context of Web 2.0: Traceability, Frontiers and Perspectives in the Post-Pandemic Era

2021 ◽  
Vol 16 (5) ◽  
pp. 1740-1767
Author(s):  
Xi Zhang ◽  
Hongda Liu ◽  
Pinbo Yao
Keyword(s):  
Consumer Behavior ◽  
Web 2.0 ◽  
Research Network ◽  
Analysis Model ◽  
Economic Changes ◽  
Consumption Behavior ◽  
Online Consumer Behavior ◽  
Traditional Research ◽  
Online Consumer ◽  
Development Paths

In recent years, the study of online consumption behavior has gradually formed its research system and analysis model based on the inheritance of traditional research paradigms, focusing on the inner mechanism of consumption models explained by consumption activities. Online consumption is based on the research scenario of social e-commerce and forms a broad research network through the extension of consumer objects, consumer psychology, and consumer concepts. Although the theoretical constructs of online consumer behavior continue to improve, the relevant studies still do not fully grasp the research frontiers due to the lagging research nature. In the context of Web 2.0, it is impossible to run through the latest developments in online consumption research. Moreover, the study of online consumer behavior has shown a trend of diversification and multiple schools of thought, and a research jungle has emerged, which in essence is the perfection and new height of the study of consumerism. This paper analyses the origins, frontiers, and prospects of online consumer behavior research to clarify the formation principles, development paths, and future directions of the online consumer behavior research jungle. Ultimately based on the economic changes in the post-pandemic context, this paper integrates and proposes an evolving mechanism for studying online consumption behavior, intending to achieve a peek into and reveal the jungle of online consumption research.

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