scholarly journals Identification and Analysis of Multi-tasking Product Information Search Sessions with Query Logs

2017 ◽  
Vol 1 (3) ◽  
pp. 79-94
Author(s):  
Xiang Zhou ◽  
Pengyi Zhang ◽  
Jun Wang
Keyword(s):  
Information Search ◽  
Online Shopping ◽  
Product Information ◽  
Shopping Behavior ◽  
Complex Nature ◽  
Search Tasks ◽  
Query Logs ◽  
Product Search ◽  
Sequential Comparison ◽  
Task Identification

AbstractPurposeThis research aims to identify product search tasks in online shopping and analyze the characteristics of consumer multi-tasking search sessions.Design/methodology/approachThe experimental dataset contains 8,949 queries of 582 users from 3,483 search sessions. A sequential comparison of the Jaccard similarity coefficient between two adjacent search queries and hierarchical clustering of queries is used to identify search tasks.Findings(1) Users issued a similar number of queries (1.43 to 1.47) with similar lengths (7.3–7.6 characters) per task in mono-tasking and multi-tasking sessions, and (2) Users spent more time on average in sessions with more tasks, but spent less time for each task when the number of tasks increased in a session.Research limitationsThe task identification method that relies only on query terms does not completely reflect the complex nature of consumer shopping behavior.Practical implicationsThese results provide an exploratory understanding of the relationships among multiple shopping tasks, and can be useful for product recommendation and shopping task prediction.Originality/valueThe originality of this research is its use of query clustering with online shopping task identification and analysis, and the analysis of product search session characteristics.

What factors affect Chinese consumers’ online grocery shopping? Product attributes, e-vendor characteristics and consumer perceptions

2020 ◽  
Vol 12 (2) ◽  
pp. 193-213 ◽  
Author(s):  
Qiujie Zheng ◽  
Junhong Chen ◽  
Robin Zhang ◽  
H. Holly Wang
Keyword(s):  
Information Search ◽  
Online Shopping ◽  
Influencing Factor ◽  
Consumer Perceptions ◽  
Shopping Behavior ◽  
Grocery Shopping ◽  
Product Attributes ◽  
Content Type ◽  
Fresh Food ◽  
Competitive Prices

PurposeIn this paper, we provide a simple conceptual framework with empirical analysis to investigate the effect of product attributes and e-vendor characteristics that are potentially included in the online shopper’s information search on their online shopping behavior in China.Design/methodology/approachThis paper examines consumers’ online shopping frequency for food/grocery using an ordered logit model and for fresh food (a subcategory of food/grocery) using a two-part model, considering product attributes, e-vendor characteristics, and consumer perceptions and characteristics.FindingsThe results show that product origin is an influencing factor in shopping for fresh food online, reflecting consumers’ growing interests in imported food or specialty food from other areas. Consumers are more likely to shop online for fresh food if they perceive online shopping as having a price advantage. But consumers who view price as a top factor are less likely to buy fresh food online frequently. Thus competitive prices might be a motive for online fresh food shopping, but consumers concerned about price do not necessarily shop frequently. Negative perceptions of product freshness reduce consumers’ likelihood and frequency of shopping for fresh food online. Concerns on food quality and e-vendors’ credibility prevent consumers from frequently shopping for fresh food online. Social and demographic characteristics also influence consumers’ decisions.Originality/valueThis paper provides a better understanding of consumer’s online grocery shopping preferences and sheds light on policy and regulation design and implementation in the e-commerce industry, which will ultimately protect and benefit consumers.

scholarly journals Belanja on-line mahasiswa di era pandemi covid-19: modifikasi perilaku konsumen

2020 ◽  
Vol 5 (2) ◽  
pp. 143
Author(s):  
Prahastiwi Utari ◽  
Annisaa Fitri ◽  
Eko Setyanto ◽  
Chatarina Henny
Keyword(s):  
Consumer Behavior ◽  
Information Search ◽  
Quantitative Research ◽  
Online Shopping ◽  
Product Information ◽  
Survey Method ◽  
Student Needs ◽  
On Line ◽  
Alternative Choice ◽  
Research Show

<p>The Covid-19 pandemic has changed students consumer behavior from offline to online. The problem in this research is how students’ consumer behavior in online shopping in the era of the Covid-19 pandemic, and the modification of consumer behavior due to regulations and procedures for shopping and buying the products they need. This research is a quantitative study using a survey method. This study is a quantitative research using a survey method. Sampling was done by stratified random sampling, the number of those students FISIP UNS involved as many as 80 people. The results and conclusions of research show that in online shopping, there is a modification of consumer behavior related student needs product, information search, evaluation prior to purchase or an alternative choice, and in the decision to buy or use the product.</p>

PENGARUH AESTHETIC, ESCAPE, EXPLORATION DAN CONVENIENCE TERHADAP MALL SHOPPING BEHAVIOR DI ERA TREN BERBELANJA ONLINE

2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Novita Novita
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Customer Loyalty ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Shopping Centers ◽  
Consumer Market ◽  
Online Purchases ◽  
One Stop

Traditionally, mall developers have tried to attract consumers through store diversity and availability of products in one place (one-stop shopping concept). But now, consumer market is more segmented. To obtain customer loyalty, mall must be able to attract unique motives and experiential needs, not just offering a shopping place that provides complete items at attractive prices. This paper aims to answer a major challenges in the success of the mall to attract visitors on the online shopping trends. Data were collected using questionnaires to mall visitors in Jakarta. A sample of 380 was analyzed using Multiple Linear Regression. This study suggests that physical shopping centers must be create a new atmosphere to attract different segments. hopping malls must provide different concepts and create new experiences that consumers can’t get in online purchases. Keywords : aesthetic, exploration, escape, convenience, mall shopping behavior.

Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions

2016 ◽  
Vol 69 (2) ◽  
pp. 794-803 ◽  
Author(s):  
Ilias O. Pappas ◽  
Panos E. Kourouthanassis ◽  
Michail N. Giannakos ◽  
Vassilios Chrissikopoulos
Keyword(s):  
Online Shopping ◽  
Shopping Behavior ◽  
Online Shopping Behavior

Examining digital information literacy as a determinant of women's online shopping behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Munazza Mahmood ◽  
Syeda Hina Batool ◽  
Muhammad Rafiq ◽  
Muhammad Safdar
Keyword(s):  
Information Literacy ◽  
Online Shopping ◽  
Literacy Skills ◽  
Shopping Behavior ◽  
Digital Information ◽  
Content Type ◽  
Information Literacy Skills ◽  
Information Professionals ◽  
Online Shopping Behavior

PurposeThe present study aims to examine the current digital information literacy (DIL) skills of female online shoppers in Lahore city of Pakistan. Data were gathered from a purposive sampling of women, aged between 20–50 years who were buying products online, not from the traditional retail stores. Out of 309 received questionnaires, 269 responses were useable and were utilized for data analysis. Descriptive and inferential statistics were used to deduce inferences.Design/methodology/approachQuantitative research approach was employed for this study, and a survey was conducted to collect the data from the study's respondents. For data analysis, descriptive and inferential statistics were used.FindingsResults revealed that the digital information literacy skills of women were good to a moderate level. However, they were not confident in applying advanced searching options. In accordance with what was hypothesized in a directional hypothesis, DIL was found to be a strong predictor of online shopping behavior of women, consequently highlighting the importance of such competencies in modern life. Other findings illustrate that participating women rarely engaged in online shopping and felt hesitation in using credit/debit card for online transactions.Research limitations/implicationsThese observations highlight the important role of information professionals in creating digital literacy among different population groups, specifically women, by planning digital information instruction through courses, workshops and trainings. This could eventually be possible with the dynamic role of librarians or information professionals in the society.Originality/valueThe present study adopts the unique approach of measuring online shopping behavior of female shoppers in connection with their digital information literacy skills.

Factors Influencing Online Shopping Behavior of Urban Consumers in India

2015 ◽  
Vol 5 (1) ◽  
pp. 38-50 ◽  
Author(s):  
Rajyalakshmi Nittala
Keyword(s):  
Perceived Risk ◽  
Financial Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Factors Influencing ◽  
Internet Users ◽  
Online Retailers ◽  
Product Risk ◽  
Electronic Marketing ◽  
Online Shopping Behavior

This study examines the factors influencing online shopping behavior of urban consumers in the State of Andhra Pradesh, India and provides a better understanding of the potential of electronic marketing for both researchers and online retailers. Data from a sample of 1500 Internet users (distributed evenly among six selected major cities) was collected by a structured questionnaire covering demographic profile and the factors influencing online shopping. Factor analysis and multiple regression analysis are used to establish relationship between the factors influencing online shopping and online shopping behavior. The study identified that perceived risk and price positively influenced online shopping behavior. Results also indicated that positive attitude, product risk and financial risk affect negatively the online shopping behavior.

scholarly journals Intention to Online Shopping on Social Media

2021 ◽  
Vol 2 (2) ◽  
pp. 119
Author(s):  
Anita Akhirruddin
Keyword(s):  
Social Media ◽  
Online Shopping ◽  
Product Information ◽  
High Growth ◽  
Quality Of Information ◽  
Social Media Site ◽  
The Social ◽  
Quality Of Products ◽  
High Level

high growth of online shopping in Indonesia gave rise to many onlien websites and platforms in Indonesia. Facebook, which is one of the social networks that many people use around the world, is one of the online selling media that is in great demand because it can reach more people. Shopping online on Facebook in addition to providing benefits for sellers and buyers. Online shopping on Facebook requires a high level of trust from buyers regarding the quality of products and serv ices, and ease in obtaining product information and payments because there are no guarantees such as online shop platforms such as shoope, tokopedia, lazada and others which before the goods are received by the customer, then the money from the buyer can not be disbursed. So researchers are interested in researching online shopping interests on the social media site facebook. The results obtained are variable trust, ease of transaction and quality of information positively affect the interest in buying online on facebook.

scholarly journals Probability Model: Malaysian Consumer Online Shopping Behavior towards Online Shopping Scam

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Mudiana Mokhsin ◽  
Azhar Abdul Aziz ◽  
Amer Shakir Zainol ◽  
Norshima Humaidi ◽  
Nur Ain Adnin Zaini
Keyword(s):  
Online Shopping ◽  
Probability Model ◽  
Shopping Behavior ◽  
Malaysian Consumer ◽  
Online Shopping Behavior

scholarly journals Explaining and Predicting Helpfulness & Funniness of Online Reviews on the Steam Platform

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Applied Research ◽  
Online Shopping ◽  
Product Information ◽  
Online Reviews ◽  
Online Review ◽  
Gradient Boosting ◽  
Related Data ◽  
Review Helpfulness ◽  
Display Content ◽  
The Impact

Online review is a crucial display content of many online shopping platforms and an essential source of product information for consumers. Low-quality reviews often cause inconvenience to the platform and review readers. This article aims to help Steam, one of the largest digital distribution platforms, predict the review helpfulness and funniness. Via Python, 480,000 game reviews related data for 20 games were captured for analysis. This article analyzed the impact of three categories of influencing factors on the usefulness and funniness of game reviews, which are characteristics of review, reviewer and game. Additionally, by using the Random Forest-based classifier, the usefulness of reviews could be accurately predicted, while for funniness, Gradient Boosting Decision Tree was the better choice. This article applied research on the usefulness of reviews to game products and proposed research on the funniness of reviews.

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