ROPO Effect in Gender- Generational Characteristics

2020 ◽  
Vol 11 (1) ◽  
pp. 43-43
Author(s):  
Radovan Bačík ◽  
Mária Oleárová ◽  
Martin Rigelský
Keyword(s):  
Association Analysis ◽  
Search Engines ◽  
Product Information ◽  
Customer Behavior ◽  
Internet Research ◽  
The Internet ◽  
Significant Progress ◽  
Customer Reviews ◽  
Online Purchase ◽  
Brick And Mortar

The development of the Internet and the current technologies have contributed to a significant progress in the consumer shopping process. Today, shopping decisions are more intuitive and much easier to make. E-shops, search engines, customer reviews and other similar tools reduce costs of searching for products or product information, thus boosting the habit of searching for information on the Internet - "Research Shopper Phenomenon" (Verhoef et al. 2007). According to Verhoef et al. (2015), this phenomenon leads to a phenomenon where consumers search for product information using one channel (Internet) and then make a purchase through another channel (brick-and-mortar shop). Heinrich and Thalmair (2013) refer to this effect as the "research online, purchase offline" or "ROPO" effect for short. This phenomenon can also be observed in reverse. Keywords: customer behavior, research online – purchase offline, association analysis

The Cue-of-the-Cloud Effect: When Reminders of Online Information Availability Increase Purchase Intentions and Choice

2016 ◽  
Vol 53 (5) ◽  
pp. 699-711 ◽  
Author(s):  
Rajesh Bhargave ◽  
Antonia Mantonakis ◽  
Katherine White
Keyword(s):  
Consumer Behavior ◽  
Product Information ◽  
Purchase Intentions ◽  
The Internet ◽  
Retail Stores ◽  
Online Information ◽  
Information Availability ◽  
Brick And Mortar ◽  
Cloud Effect ◽  
Positive Feelings

In offline purchasing settings (e.g., retail stores), consumers often encounter reminders that product information can be found on the Internet. The authors refer to a reminder of the availability of online information as a “cue-of-the-cloud” and explore its unique consequences on offline consumer behavior. This research finds that when consumers are presented with relatively large amounts of information in offline purchasing situations, a cue-of-the-cloud can enhance purchase intentions and choice behaviors. This occurs because the cue increases consumers’ confidence in being able to retain and access the information seen in-store, which engenders positive feelings about the decision to purchase. Four studies, including two experiments in real brick-and-mortar field settings, demonstrate the consequences of a cue-of-the-cloud, along with some novel moderators of these effects.

Research on Technology Oriented Framework of Aspects Extraction from Customer Reviews

2014 ◽  
Vol 488-489 ◽  
pp. 1358-1362
Author(s):  
Shi Li ◽  
Ming Yu Ji
Keyword(s):  
Sentiment Analysis ◽  
Product Information ◽  
Theoretical Framework ◽  
The Internet ◽  
Product Reviews ◽  
Valuable Data ◽  
Research Framework ◽  
Customer Reviews ◽  
Feature Mining ◽  
Oriented Research

As e-business develops rapidly, more and more product information and product reviews are posted on the Internet. These contents will have a great significance for companies and consumers. This paper focus on customer reviews of product, and construct a technology oriented research framework for the sentiment analysis. Further more an improved theoretical framework of aspects extraction is proposed, which based on products feature mining issues from customer reviews. This two theoretical framework can help researchers acquire supported valuable data for additional researches including the study of behavioral.

Gender and Behaviour Differences Influencing on Web Shopping

2021 ◽  
Vol 8 (4) ◽  
pp. 54-59
Author(s):  
P Ashok
Keyword(s):  
Product Information ◽  
Purchase Behavior ◽  
The Internet ◽  
Time Saving ◽  
Factors Affecting ◽  
Online Purchases ◽  
Online Sales ◽  
Online Purchase ◽  
Indian Consumers ◽  
Risk And Benefit

Despite several pieces of evidence showing the growth of Internet usage by Indian consumers. Online sales show less than 1 percent of the total retail sales in India. This may represent a great potential to grow yet some obstacles to overcome for online retailers. Many Indian consumers have low self-efficacy in using the Internet and feel shopping online to be eccentric. It seems that even for those who use the Internet regularly, the Internet is mainly for searching product information, comparing prices, and checking consumer reviews rather than making a purchase. Thus, the purpose of this study is to identify factors affecting Indian consumers’ attitudes towards shopping online. This information will help Internet retailers find a way to encourage Indian shopper’s online purchase behavior. Previous studies (i.e., Bhatnagar et al., 2000; Jarvenpaa and Todd, 1997; Vijayasarathy and Jones, 2000) attempted to identify factors affecting Indian online consumers’ online purchases. However, only risk and benefit factors identified from the US studies were applied to the Indian web shopping context, failing to incorporate Indian culturespecific factors. Thus, the purpose of this study is to identify factors affecting Indian consumers’ web shopping gender behavior, specifically elucidating them in the Indian context. In addition to the previously identified factors (i.e., Convenient and time-saving, on-time delivery, availability of detailed information about the product, safe and secure while shopping online, selection of goods available on the internet is a very broad, special offer/discounted prices, convenient and time-saving, shop online from a trustworthy website, easy price comparison to online and offline stores. Web shopping only if online prices are lower than actual price etc.); this study included Indian gender-specific factors that may play an important role in determining Internet adoption for e-commerce. Also, a potential gender difference in identifying factors affecting male/female purchase behavior was investigated.

scholarly journals A Survey on Blockchain-Based Search Engines

2021 ◽  
Vol 11 (15) ◽  
pp. 7063
Author(s):  
Esmaeel Rezaee ◽  
Ali Mohammad Saghiri ◽  
Agostino Forestiero
Keyword(s):  
Search Engines ◽  
Research Field ◽  
The Internet ◽  
Context Aware ◽  
Search System ◽  
Search Results ◽  
Related Information ◽  
Research Article ◽  
Different Types ◽  
Search History

With the increasing growth of different types of data, search engines have become an essential tool on the Internet. Every day, billions of queries are run through few search engines with several privacy violations and monopoly problems. The blockchain, as a trending technology applied in various fields, including banking, IoT, education, etc., can be a beneficial alternative. Blockchain-based search engines, unlike monopolistic ones, do not have centralized controls. With a blockchain-based search system, no company can lay claims to user’s data or access search history and other related information. All these data will be encrypted and stored on a blockchain. Valuing users’ searches and paying them in return is another advantage of a blockchain-based search engine. Additionally, in smart environments, as a trending research field, blockchain-based search engines can provide context-aware and privacy-preserved search results. According to our research, few efforts have been made to develop blockchain use, which include studies generally in the early stages and few white papers. To the best of our knowledge, no research article has been published in this regard thus far. In this paper, a survey on blockchain-based search engines is provided. Additionally, we state that the blockchain is an essential paradigm for the search ecosystem by describing the advantages.

scholarly journals Mind games: A temporal sentiment analysis of the political messages of the Internet Research Agency on Facebook and Twitter

2021 ◽  
pp. 146144482110143
Author(s):  
Soyoung Park ◽  
Sharon Strover ◽  
Jaewon Choi ◽  
MacKenzie Schnell
Keyword(s):  
African American ◽  
Temporal Dynamics ◽  
Negative Emotion ◽  
American Identity ◽  
Internet Research ◽  
The Internet ◽  
Message Content ◽  
Political Messages ◽  
African American Identity ◽  
2016 Election

This study examines the temporal dynamics of emotional appeals in Russian campaign messages used in the 2016 election. Communications on two giant social media platforms, Facebook and Twitter, are analyzed to assess emotion in message content and targeting that may have contributed to influencing people. The current study conducts both computational and qualitative investigations of the Internet Research Agency’s (IRA) emotion-based strategies across three different dimensions of message propagation: the platforms themselves, partisan identity as targeted by the source, and social identity in politics, using African American identity as a case. We examine (1) the emotional flows along the campaign timeline, (2) emotion-based strategies of the Russian trolls that masked left- and right-leaning identities, and (3) emotion in messages projecting to or about African American identity and representation. Our findings show sentiment strategies that differ between Facebook and Twitter, with strong evidence of negative emotion targeting Black identity.

scholarly journals Accuracy of internet images of glenoid labral injuries

2013 ◽  
Vol 95 (6) ◽  
pp. 418-420 ◽  
Author(s):  
R Freeman ◽  
F Ashouri ◽  
J Papanikitas ◽  
D Ricketts
Keyword(s):  
Health Information ◽  
Search Engines ◽  
Shoulder Dislocation ◽  
Medical Images ◽  
Interobserver Reliability ◽  
Bankart Lesion ◽  
The Internet ◽  
Glenoid Labrum ◽  
Written Information ◽  
Internet Images

Introduction The internet is a convenient source of health information used widely by patients and doctors. Previous studies have found that the written information provided was often inaccurate. There is no literature regarding the accuracy of medical images on the internet. The aim of this study was to assess the accuracy of internet images of injuries to the glenoid labrum following shoulder dislocation. Methods The Google and Bing search engines were used to find images of Bankart, Perthes and anterior labroligamentous periosteal sleeve avulsion (ALPSA) lesions. Three independent reviewers assessed the accuracy of image labelling. Results Of images labelled ‘Bankart lesion’, 30% (9/30) were incorrect while ‘Perthes lesion’ images were incorrect in 15% of cases (9/60) and 4% of ‘ALPSA lesion’ images were incorrect (2/46). There was good interobserver reliability (kappa = 0.81). Labelling accuracy was better on educational sites than on commercial sites (6% vs 25% inaccurate, p=0.0013). Conclusions Caution is recommended when interpreting non-peer reviewed images on the internet.

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