scholarly journals Device Switching in Online Purchasing: Examining the Strategic Contingencies

2018 ◽  
Vol 82 (5) ◽  
pp. 1-19 ◽  
Author(s):  
Evert de Haan ◽  
P.K. Kannan ◽  
Peter C. Verhoef ◽  
Thorsten Wiesel
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Perceived Risk ◽  
Product Category ◽  
Shopping Behavior ◽  
Online Retailer ◽  
Product Price ◽  
Clickstream Data ◽  
Conversion Rates ◽  
Online Shopping Behavior

The increased penetration of mobile devices has a significant impact on customers’ online shopping behavior, with customers frequently switching between mobile and fixed devices on the path to purchase. By accounting for the attributes of the devices and the perceived risks related to each product category, the authors develop hypotheses regarding the relationship between device switching and conversion rates. They test the hypotheses by analyzing clickstream data from a large online retailer and apply propensity score matching to account for self-selection in device switching. They find that when customers switch from a more mobile device, such as a smartphone, to a less mobile device, such as a desktop, their conversion rate is significantly higher. This effect is larger when product category–related perceived risk is higher, when the product price is higher, and when the customer's experience with the product category and the online retailer is lower. The findings illustrate the importance of focusing on conversions across the combination of devices used by customers on their path to purchase. Focusing on the conversions on a single device in isolation, as is usually done in practice, significantly overestimates conversions attributed to fixed devices at the expense of those attributed to mobile devices.

scholarly journals Perceived Risk on Consumer Online Shopping Behaviour

2018 ◽  
Vol 3 (2) ◽  
pp. 203-209
Author(s):  
Endah Setya Octaviani ◽  
Hendra Gunawan
Keyword(s):  
Customer Satisfaction ◽  
Perceived Risk ◽  
Online Shopping ◽  
Product Category ◽  
Negative Influence ◽  
Shopping Behavior ◽  
Individual Risk ◽  
Significant Difference ◽  
Negative Effect ◽  
Online Shopping Behavior

This study aims to determine the effect of perveived risk on consumer online shopping behavior of fashion product. The significant difference presented are the product category, using the category of fashion product as the most demand category by consumers. Samples used are students in the field of accounting at universities. The result of this research are there is negative influence of perception of product risk to customer satisfaction and re-purchased intention. The perveived cost risk has no negative effect on satisfaction and re-purchased intention. Perception of individual risk do not have a negative effect on customer satisfaction and re-purchased intention.

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.

Factors Influencing Online Shopping Behavior of Urban Consumers in India

2019 ◽  
pp. 1171-1185
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.

Effect of Perceived Risk on E-Commerce Acceptance

2010 ◽  
pp. 693-700 ◽  
Author(s):  
Ángel Herrero-Crespo ◽  
Ignacio Rodríguez-del-Bosque
Keyword(s):  
Information System ◽  
Perceived Risk ◽  
Online Shopping ◽  
Careful Consideration ◽  
Shopping Behavior ◽  
Internet Shopping ◽  
Main Determinants ◽  
Online Shopping Behavior ◽  
The Individual ◽  
And Diffusion

The risk or uncertainty perceived on a conduct (e.g. purchasing or consuming of a product, or using an information system) by the individuals has been traditionally identified as one of the main determinants of consumer behavior. In particular, the influence of perceived risk has been specially linked to high involvement products or conducts (Laurent & Kapferer, 1985) which imply a high value or concern for the individual, and that are usually purchased after long and careful consideration. In the specific context of e-commerce, perceived risk has been traditionally identified as one of the main barriers for Internet shopping acceptance and diffusion (Korgaonkar & Wolin, 1999; Goldsmith & Lafferty, 2001; Miyazaki & Fernández, 2001; Wu & Wang, 2005). However, the empirical evidence available regarding this issue is contradictory, and some authors have found that the influence exerted by perceived risk on consumers’ online shopping behavior may not be so relevant (Jarvenpaa & Todd, 1997; Herrero & Rodríguez del Bosque, 2008).

Foresight for online shopping behavior: a study of attribution for “what next syndrome”

foresight ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 285-317 ◽  
Author(s):  
Gunjan Sharma ◽  
Naval Bajpai ◽  
Kushagra Kulshreshtha ◽  
Vikas Tripathi ◽  
Prince Dubey
Keyword(s):  
Social Desirability ◽  
Brand Loyalty ◽  
Perceived Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Content Type ◽  
Product Service ◽  
Service Offering ◽  
Online Shopping Behavior ◽  
Different Levels

PurposeThe online shopping behavior is the outcome of the variety of attribution from product/ service offering to internet experience. The present study attempts to develop a complete product/service offering by exploring and examining the different combinations of online shopping attributes to provide the customized experience. Therefore, this study aims to fill the gap of customer desired experience and present scenario in online shopping behavior.Design/methodology/approachThe exploration of attributes pertaining to online shopping behavior was done by seeking theoretical support from different technology adoption theories/models and the Delphi technique, exercised with active participants of online and offline shopping. The theoretical and experience shared attributes were devised and social desirability scale (SDS) was used for eliminating the social desirability bias. Further, the questionnaire was administered online and offline during mall intercept. The Conjoint analysis was used to investigate the relative importance and utilities of the attributes and its levels individually and compositely at different levels.FindingsIn the context, brand loyalty, online reputation management and Web interactivity were found most relavant followed by e-WOM, perceived risk and price. The specific levels of attributes such as taking consumer advice, search engine optimization (SEO), perception-based interactivity, consumer message boards, product risk and discount pricing were the crucial in motivating the customers for online shopping. This research affords the avenue for the marketers to motivate and delight consumers to retribalize by the way of “e-tribalizing.”Research limitations/implicationsThe current study was conducted in confined geographical locations and limited in sample size; thus, the issue of generalization may prevail, but forthcoming researchers may exercise the techniques with better probabilistic sampling technique. The mass customization of the website features by comparing attribute orientation of customers around websites was recommended with the third-party certification to reduce the consumers’ perceived risk during online shopping. Finally, the different levels, such as Facebook fan page in ORM and Everyday Low Price (EDLP) in pricing may be considered for the future research work.Originality/valueThe research studies on online shopping behavior with Web interactivity, e-WOM, perceived risk, brand loyalty, ORM and price using a decompositional technique are scant. This study persuades the customers to go for online shopping by putting them in the almost real-time purchasing scenario. The study confirmed the need of people to retribalize through e-tribalization by the way of customization for the masses in the context of online shopping.

scholarly journals Consumer perceived risk in online shopping environment via Facebook as medium

2018 ◽  
Vol 7 (4) ◽  
pp. 2485 ◽  
Author(s):  
Charu Panwar
Keyword(s):  
Perceived Risk ◽  
Financial Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Purchase Behavior ◽  
Primary Study ◽  
Product Risk ◽  
Considerable Impact ◽  
And Gender ◽  
Online Shopping Behavior

The study aims to understand the consumer buying behavior while shopping online. The study unveils the multidimensional perceived risk in online shopping that will be helpful for the marketers in mitigating the perceived risk. The study used universally accepted determinants of consumers’ perceived risk namely financial risk, product risk, delivery risk, time risk and privacy risk. This multi-pronged perceived risk has significant impact on the online shopping behavior of the customer and adversely affects their purchase behavior. The total number of 180 respondent has been selected for the primary study. The convenient sampling method of non-probability sampling has been used for selection of respondents. The study found that the demographics have a major role to play on consumers’ perception towards online shopping. Income and gender are the two important factors identified that may have considerable impact on consumers’ perception towards online shopping. T-test, ANOVA and regression analysis has been used for data analysis purpose. 

scholarly journals Unraveling Determinants of Webrooming Behavior: A Qualitative Inquiry

2021 ◽  
Vol 22 (3) ◽  
pp. 1550-1568
Author(s):  
Eugene Cheng-Xi Aw ◽  
Norazlyn Kamal Basha ◽  
Siew-Imm Ng ◽  
Jo-Ann Ho
Keyword(s):  
Perceived Risk ◽  
Product Category ◽  
Online Reviews ◽  
Qualitative Inquiry ◽  
Perceived Usefulness ◽  
Shopping Behavior ◽  
Situational Factor ◽  
Product Knowledge ◽  
Related Factors ◽  
Theoretical Understanding

Webrooming, a practice whereby consumers research for products online prior to making their final purchase offline, represents a prevalent form of shopping behavior in the current retailing landscape. This study aims to explore the determinants for and against the adoption of webrooming behavior among Millennials. Semi-structured in-depth interviews were employed to collect data. Data were analyzed through theoretical thematic analysis. Results unveil a number of important themes, categorized based on consumers- (i.e., need for touch, need for interaction, price-comparison orientation, and product knowledge), channel-related factors (i.e., online search convenience, perceived usefulness of online reviews, perceived helpfulness of in-store salespeople, immediate possession, perceived risk), situational factor (i.e., product category), as well as experiential outcome (smart-shopping perception) that arose from webrooming. Considering the limited research on webrooming, this study advances the theoretical understanding on the determinants of webrooming, and offers managerial insight for retailers to deal with this popular shopping phenomenon.

scholarly journals Effects Of Risks On Online Consumers Purchasing Behavior: Are They Risk-Averse Or Risk-Taking?

2013 ◽  
Vol 30 (1) ◽  
pp. 161 ◽  
Author(s):  
Seung Hwan Kim ◽  
Framarz Byramjee
Keyword(s):  
Web Sites ◽  
Perceived Risk ◽  
Web Site ◽  
Online Shopping ◽  
Personal Information ◽  
Shopping Behavior ◽  
Risk Averse ◽  
Online Transactions ◽  
Increased Risk ◽  
Online Shopping Behavior

Since the beginning of e-commerce, trustworthiness of commercial web sites has been a constant issue, and, very likely, it will continue to be. When an online shopper cannot trust a web site where he or she intends to make a purchase, the online shopper would perceive a risk of transactional security and a risk of privacy of personal information. In regard to this perceived risk in online transactions, this study is set out to find the change in the level of perceived risk in Business-to-Consumer (B2C) e-commerce and to test whether or not consumers trust a web-centric company at their first visit to the companys web site. Two major findings of this study are that about one third of those surveyed for the study feel an increased risk in B2C online transactions over the previous year, and that absolute majority of them have never or rarely shopped on a web site they are not familiar with. It is further found that even an attractive deal cannot affect the risk-averse behavior of online shopping. From the findings of the study, it is concluded that risk-averse online shopping behavior is a manifestation of increased perceived risk in B2C online transactions.

scholarly journals Examining Factors that Affect Consumer Online Shopping Behavior: A Review Based Study

2015 ◽  
Vol 10 (8) ◽  
pp. 2445-2452
Author(s):  
Shabnam Narula ◽  
MRS. SHABNAM GULATI ◽  
Mr. DUSHANT NARULA
Keyword(s):  
Consumer Behavior ◽  
Critical Review ◽  
Perceived Risk ◽  
Online Shopping ◽  
Geographical Area ◽  
Literature Survey ◽  
Shopping Behavior ◽  
Extensive Literature ◽  
Primary Condition ◽  
Online Shopping Behavior

Online shopping in India is an emerging trend for marketers to promote their merchandise in wide geographical area using internet. In 2012, E-Commerce revenue was US$ 1.6 billion but it is expected to be US$ 8.8 billion by 2016.It speaks about the success of e-commerce. Trust is an important dimension in the success of online shopping. The present study focuses on critical review of consumer behavior towards online shopping through extensive literature survey. The finding reveals that knowledge, privacy, security, perceived risk and perceived benefits are very important factors for the consumer’s behavior towards online shopping. Winning trust is the primary condition for enduring success in e- commerce. Finally, some useful implications have been offered to the marketers at the end.

scholarly journals ANALISIS PERILAKU BERBELANJA ONLINE KONSUMEN MUSLIM DALAM PERSPEKTIF GENDER DI PROVINSI RIAU (Ditinjau dari Perceived Risk, Service Infrastructure, dan Acquisition Utility)

2016 ◽  
Vol 15 (1) ◽  
pp. 78
Author(s):  
Fachrurrozi ◽  
Alchudri
Keyword(s):  
Perceived Risk ◽  
Online Shopping ◽  
Linear Regression Analysis ◽  
Total Sample ◽  
Multiple Linear Regression Analysis ◽  
Shopping Behavior ◽  
Male Students ◽  
Shopping Behaviour ◽  
Independent Variable ◽  
Online Shopping Behavior

This study aims to determine the effect of perceived risk, service infrastructure, acquisition utility to the online shopping behavior of students in the province of Riau and to determine differences in perceived risk, service infrastructure, acquisition utility and online shopping behavior between male students and female in Riau Province. The total sample is 250 respondents. Independent variable is perceived risk (X1), service infrastruktur (X2), acquistion utility (X3) and dependen variavle is online shopping behavior (Y). Data analysis using multiple linear regression analysis and one way ANOVA. The results showed perceived risk influence on online shopping behaviour, service infrastructure influence on online shopping behaviour, acquisition utility influence on online shopping behaviour, results of hypothesis testing using ANOVA showed that there are differences in perceived risk, service infrastructure, acquisition utility and online shopping behavior between male students and female students.

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