scholarly journals Analisa Web untuk Memahami Perilaku Konsumen Online Studi Kasus “Store Steam Powered”

2015 ◽  
Vol 7 (2) ◽  
pp. 185-194
Author(s):  
Endang Supriyadi
Keyword(s):  
Consumer Behavior ◽  
Business Processes ◽  
World Population ◽  
Web Analytics ◽  
Web Based ◽  
Online Consumer Behavior ◽  
Internet Users ◽  
Online Consumer ◽  
The Moment ◽  
Almost All

The development of internet users from year to year to date continues to increase, it can be known through a survey conducted Internet Worldstats. According to a survey conducted by Internet Worldstats, United Stated ranks 2nd of internet users worldwide after China. From the results of the survey shows that almost all activities / business activities undertaken by the world population and in particular the citizens of United State / America using internet facilities in all activities, especially transactions online. And one of the tools that can help to analyze online consumer behavior is by using web analytics. The purpose of this paper is to analyze how data analysis can be effectively used to understand current consumer behavior online. Expected with the use of web analytics, companies can predict future consumer behavior online and special messages on promotions that have been sent to each individual. Understanding the patterns and things on the web analytics is expected to help to develop business processes and the contents and design that need to be made especially "store steam powered". Store steam powered is one of Valve's web-based digital distributor. The main service that is done is steam game sales through an e-commerce web that aims to avoid piracy is very rampant at the moment.

scholarly journals Analisa Web untuk Memahami Perilaku Konsumen Online Studi Kasus “Store Steam Powered”

2018 ◽  
Author(s):  
endang supriyadi
Keyword(s):  
Consumer Behavior ◽  
Business Processes ◽  
World Population ◽  
Web Analytics ◽  
Web Based ◽  
Online Consumer Behavior ◽  
Internet Users ◽  
Online Consumer ◽  
The Moment ◽  
Almost All

The development of internet users from year to year to date continues to increase, it can be known through a survey conducted Internet Worldstats. According to a survey conducted by Internet Worldstats, United Stated ranks 2nd of internet users worldwide after China. From the results of the survey shows that almost all activities / business activities undertaken by the world population and in particular the citizens of United State / America using internet facilities in all activities, especially transactions online. And one of the tools that can help to analyze online consumer behavior is by using web analytics. The purpose of this paper is to analyze how data analysis can be effectively used to understand current consumer behavior online. Expected with the use of web analytics, companies can predict future consumer behavior online and special messages on promotions that have been sent to each individual. Understanding the patterns and things on the web analytics is expected to help to develop business processes and the contents and design that need to be made especially "store steam powered". Store steam powered is one of Valve's web-based digital distributor. The main service that is done is steam game sales through an e-commerce web that aims to avoid piracy is very rampant at the moment.

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.

Understanding the Reasons for Gender Difference in Online Information Processing of Consumers

2019 ◽  
pp. 230-252
Author(s):  
Ceyda Tanrikulu
Keyword(s):  
Gender Differences ◽  
Information Processing ◽  
Consumer Behavior ◽  
Gender Difference ◽  
Theoretical Perspective ◽  
Future Research ◽  
Online Information ◽  
Strategic Decisions ◽  
Online Consumer Behavior ◽  
Online Consumer

This chapter aims to provide proposals about understanding the gender difference in online information processing that have been developed based on the theories and the findings of the current research. Major findings in the literature indicate the gender difference in online information processing. This chapter can be used to help gain insight about the online consumer behavior based on gender approach by presenting theoretical perspective, providing basis for future research, enrich the understanding about gender differences in online information processing, and to give suggestion for implications requiring strategic decisions.

Apps-Commerce in Emerging Markets

2017 ◽  
pp. 51-69 ◽  
Author(s):  
Sajad Rezaei ◽  
Maryam Emmi
Keyword(s):  
Information Technology ◽  
Consumer Behavior ◽  
Emerging Markets ◽  
Marketing Strategies ◽  
Current Understanding ◽  
The Internet ◽  
Online Consumer Behavior ◽  
Online Consumer ◽  
Flow Of Information ◽  
Large Flow

The Internet and Apps related technologies are considered as information “super highway” since they are able to connect people, computers, and data to one another. Because of them, a new communication medium has risen, which provides an access to the large flow of information across various broad extensions. As a consequence, there has been a need for understanding the behaviors of online consumers, since Information Technology and its usage have had a massive impact on shopping behaviors as well as the rate of market success. This chapter's aim will be to sanitize the current understanding of Apps/online consumer behavior to shape Apps marketing strategies and implementations.

A Review of Antecedents of Online Repurchase Behavior in Indian E-Commerce Paradigm Shift

2021 ◽  
pp. 1578-1597
Author(s):  
Syed Habeeb ◽  
K. Francis Sudhakar
Keyword(s):  
Systematic Review ◽  
Consumer Behavior ◽  
Customer Satisfaction ◽  
Marketing Research ◽  
Journal Articles ◽  
Exclusion Criteria ◽  
Repurchase Intentions ◽  
Online Consumer Behavior ◽  
Research Areas ◽  
Online Consumer

The purpose of this chapter is to highlight research areas of customer satisfaction and repurchase intentions and their antecedents in the Indian e-commerce industry. To retain, attract, and satisfy customers, e-retailers need to understand how and why online customers evaluate a web store. The relevant areas of consumer behavior and marketing research were derived to explain the possible gaps to study with respect to e-commerce in India. To do so, a systematic review of online consumer behavior literature is conducted. Following inclusion and exclusion criteria, a total of 109 journal articles are analyzed. The major finding of the chapter was that there is very less amount of research considering the areas of customer satisfaction, trust, loyalty along with repurchase behavior of the online customer in specific to the Indian context. Therefore, it is a need of the hour to extend the study to know the repurchase behavior of the online consumer in present time.

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.

Developing a Research Framework to Assess Online Consumer Behaviour Using Netnography in India

2016 ◽  
pp. 154-167
Author(s):  
Gautam Deka ◽  
Sumangla Rathore ◽  
Avinash Panwar
Keyword(s):  
Research Method ◽  
Consumer Behaviour ◽  
Ethnographic Research ◽  
Online Consumer Behavior ◽  
Internet Users ◽  
Computer Mediated ◽  
Specialized Form ◽  
Online Consumer ◽  
Over Time ◽  
Online Consumer Behaviour

Netnography is a specialized form of ethnographic research that has been adapted to the unique contingencies of various types of computer-mediated social interaction. With the tremendous growth in the number of Internet users in India, the potential of utilizing netnography to study various aspects of management and business has also increased. Several e-Commerce companies have started operating in India since 2007. Over time, the number of online consumers has also increased in India. Therefore it is important to know the online consumer behaviour towards e-Commerce companies operating in India. Keeping the above facts in view, this chapter proposes Netnogrpahy as an effective research method to assess online consumer behavior. The chapter not only helps in providing future agenda for research, but also presents a framework that may be adopted to carry out Netnogrpahy of e-commerce related websites in India.

A Critical Review of Online Consumer Behavior

2011 ◽  
pp. 262-279 ◽  
Author(s):  
Christy M.K. Cheung
Keyword(s):  
Consumer Behavior ◽  
Theoretical Model ◽  
Critical Review ◽  
Research Agenda ◽  
Research Area ◽  
Integrative Model ◽  
Review Of The Literature ◽  
Online Consumer Behavior ◽  
The Past ◽  
Online Consumer

The topic of online consumer behavior has been examined under various contexts over the years. Although researchers from a variety of business disciplines have made significant progress over the past few years, the scope of these studies is rather broad, the studies appear relatively fragmented and no unifying theoretical model is found in this research area. In view of this, we provide an exhaustive review of the literature and propose an integrative model of online consumer behavior so as to analyze the online consumer behavior in a systematic way. This proposed framework not only provides us with a cohesive view of online consumer behavior, but also serves as a salient guideline for researchers in this area. We conclude our paper with a research agenda for the study of online consumer behavior.

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