scholarly journals The Influence of Personalized Recommendation on Consumers’ Purchase Intention in Cross-border Online Shopping

2019 ◽  
Author(s):  
TIAN-LONG GU ◽  
BING-BING TIAN ◽  
XIAO-PING ZHAO
Keyword(s):  
Purchase Intention ◽  
Online Shopping ◽  
Personalized Recommendation ◽  
Cross Border

scholarly journals The Effects of Online Shopping Context Cues on Consumers’ Purchase Intention for Cross-Border E-Commerce Sustainability

2019 ◽  
Vol 11 (10) ◽  
pp. 2777 ◽  
Author(s):  
Liang Xiao ◽  
Feipeng Guo ◽  
Fumao Yu ◽  
Shengnan Liu
Keyword(s):  
Purchase Intention ◽  
Online Shopping ◽  
Positive Impact ◽  
Personalized Recommendation ◽  
Mediating Role ◽  
Brand Familiarity ◽  
Cross Border ◽  
Functional Value ◽  
Context Cues ◽  
Emotional Value

China is currently the world’s largest cross-border e-commerce purchaser and destination country. Therefore, how to promote consumer online shopping is the most important goal for cross-border e-commerce sustainability. Meanwhile, the previous research has not empirically verified the precise effect of online shopping context and perceived value on consumers’ cross-border online purchase intention. To address this gap, this study analyzes the online shopping context that determines consumers’ purchase intention and innovatively identifies four cues that promote this consumption behavior in cross-border e-commerce, such as online promotion cues, content marketing cues, personalized recommendation cues, and social review cues. It proposes a theoretical model based on cue utilization theory and stimulus-organism-response model, which introduces this four cues and brand familiarity in analyzing the effects on consumers’ purchase intention in cross-border online shopping (CBOS). In addition, the paper examines the mediating role of perceived functional value and perceived emotional value. Survey data collected 372 cross-border online consumers from China and the PLS-SEM method was used to empirically test the proposed model. The results show that these four cross-border online shopping context cues have a significantly positive impact on consumers’ purchase intention. Brand familiarity has significantly negative moderating effects between the four cues and the perceived functional value, while brand familiarity also negatively moderates the relationship between online promotion cues, social review cues, and perceived emotional value, respectively.

scholarly journals Fashion Consumers' Purchase Intention on Cross-border Online Shopping

2015 ◽  
Vol 17 (5) ◽  
pp. 741-753 ◽  
Author(s):  
Joo Young Lee ◽  
Ho Jung Choo ◽  
Hyejoo Lee
Keyword(s):  
Purchase Intention ◽  
Online Shopping ◽  
Cross Border

An interpretable mechanism for personalized recommendation based on cross feature

2021 ◽  
pp. 1-12
Author(s):  
Lv YE ◽  
Yue Yang ◽  
Jian-Xu Zeng
Keyword(s):  
Recommender System ◽  
Online Shopping ◽  
Side Information ◽  
Attention Mechanism ◽  
Personalized Recommendation ◽  
Model Based ◽  
Embedded Model ◽  
Feature Attention ◽  
Match Score

The existing recommender system provides personalized recommendation service for users in online shopping, entertainment, and other activities. In order to improve the probability of users accepting the system’s recommendation service, compared with the traditional recommender system, the interpretable recommender system will give the recommendation reasons and results at the same time. In this paper, an interpretable recommendation model based on XGBoost tree is proposed to obtain comprehensible and effective cross features from side information. The results are input into the embedded model based on attention mechanism to capture the invisible interaction among user IDs, item IDs and cross features. The captured interactions are used to predict the match score between the user and the recommended item. Cross-feature attention score is used to generate different recommendation reasons for different user-items.Experimental results show that the proposed algorithm can guarantee the quality of recommendation. The transparency and readability of the recommendation process has been improved by providing reference reasons. This method can help users better understand the recommendation behavior of the system and has certain enlightenment to help the recommender system become more personalized and intelligent.

Antecedents and consequences of trust: an e-tail branding perspective

2016 ◽  
Vol 44 (7) ◽  
pp. 713-730 ◽  
Author(s):  
Gopal Das
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Design Methodology ◽  
Brand Management ◽  
Online Shopping ◽  
Content Type ◽  
Equation Modelling ◽  
Managerial Implications ◽  
Antecedents And Consequences ◽  
Structured Questionnaire

Purpose – The purpose of this paper is to examine the antecedents and consequences of trust in online shopping from an e-tail branding perspective. Design/methodology/approach – A structured questionnaire was used to collect data online from Indian e-tail shoppers (n=309). A structural equation modelling (CB-SEM approach) was used to analyse the data. Findings – The results found e-tailer awareness, e-tailer associations, and e-tailer perceived quality as antecedents of trust in online shopping. The results also showed online trust positively influences the behavioural intentions, namely, purchase intention, repurchase, and recommendation. Originality/value – This study examines the applicability and branding and brand management principles in an e-tail branding context. Theoretical and managerial implications of these results are further discussed.

scholarly journals Impact of Perceived Risk on Consumers Technology Acceptance in Online Grocery Adoption amid COVID-19 Pandemic

2021 ◽  
Vol 13 (18) ◽  
pp. 10221
Author(s):  
Sufyan Habib ◽  
Nawaf N. Hamadneh
Keyword(s):  
Perceived Risk ◽  
Purchase Intention ◽  
Online Shopping ◽  
Research Work ◽  
Mobile Internet ◽  
Growth Potential ◽  
Internet Technology ◽  
Consumer Trust ◽  
Online Purchase ◽  
The Impact

E-commerce industry has witnessed a phenomenal growth globally due to the sudden spread of the COVID-19 pandemic and the advancement of mobile Internet technology, with fast adaption of online shopping technologies by the customers. Previously, online shopping was only available in a few product categories and to a select group of consumers. The COVID-19 guidelines related to safety, physical distancing, closure, lockdown, and other restrictions have insisted that consumers shop online. Because of e-commerce growth, the grocery (FMCG) industry is also equipped with advanced technologies such as the Internet of Things (IoT), cloud computing, and block chain technology. This paper analyzes the UTAUT2 model and its influence on perceived risk and consumer trust in online purchase intention of grocery categories of products among Indian customers. We tried to analyze the growth potential of new technologies in grocery retail and formulated the hypotheses. The results showed that the spread of COVID-19 pandemic had a significant influence on the online shopping behavior of Indian customers. The outcome of the study partly assists businesses in understanding the impact of the factors of consumer adaption of technology, perceived risk associated with online transaction, consumer trust in online technologies and consumer online purchase intention of grocery products. To promote e-commerce in India, the current study suggests that marketers should try to develop consumer trust and lowering the perceived risk associated with online shopping. Some management implications and future area of study based on empirical findings are also highlighted in the present research work.

scholarly journals A REVIEW ON TECHNOLOGY READINESS CONCEPT TO EXPLAIN CONSUMER’S ONLINE PURCHASE INTENTION

2020 ◽  
Vol 6 ◽  
pp. 49-57
Author(s):  
Khairull Anuar Ismail ◽  
Nabsiah Abdul Wahid
Keyword(s):  
Purchase Intention ◽  
Online Shopping ◽  
New Technology ◽  
Technology Readiness ◽  
Online Purchase ◽  
Intention To Purchase ◽  
Proposed Model ◽  
Related Service ◽  
Adoption Of New Technology ◽  
The Relationship

Recently in Malaysia, a substantial number of consumers have been found to be avoiding online shopping as they prefer to shop in physical stores. This scenario brings up the issue of whether Malaysian consumers are ready technologically to shop online. To tackle this issue, a review of the concept of technology readiness is made to help explain Malaysian consumers’ online purchase intention behaviour. Technology readiness is chosen here because the concept reflects an individual’s predisposition in the usage and adoption of new technology. For the purpose of this review, this study selects technology readiness concept as proposed by Parasuraman  (2000). From the review, this study found that technology readiness has been measured in the past either as a single (unidimensional) or a multidimensional construct involving four factors, namely, optimism, innovativeness, discomfort and insecurity. A summary on past researchers’ findings in identifying the relationship between technology readiness (and its proposed dimensions) with technology usage is included in this review. For example, technology readiness was found to have a significant influence on behavioural intention in using mobile commerce to purchase travel-related service. Additionally, technology readiness motivator (optimism and innovativeness) and inhibitor (discomfort and insecurity) were identified to be related to intention to use technology. Based on the review, this study proposes a model to help explain the user’s intention to purchase online situation. In the proposed model, both technology readiness motivators and inhibitors are suggested to show positive and negative influences respectively on the user’s intention to purchase online. This review is thought to be beneficial to many. For instance, researchers would find insights on the usefulness of technology readiness and on how it has been and can be applied for further investigation. As for marketing practitioners, the review would help guide them understand the influence technology readiness has on consumers behaviour intention in adopting online shopping which they could apply for future marketing strategy.

scholarly journals AI Technology and Online Purchase Intention：Multi-Group Analysis Based On Perceived Value

2021 ◽  
Author(s):  
Jiwang Yin ◽  
Xiaodong Qiu
Keyword(s):  
Purchase Intention ◽  
Online Shopping ◽  
Positive Impact ◽  
Group Analysis ◽  
Perceived Value ◽  
Three Dimensions ◽  
Utility Value ◽  
Current Application ◽  
Hedonic Value ◽  
Perceived Utility

(1) Background: AI technology has been deeply applied to online shopping platform to provide more accurate and personalized services for consumers. It is of great significance to study the different functional experience of AI for consumers to improve the current application status of AI technology.(2)Method: Based on the "S-O-R" model, this study divided the AI technology expe-rienced by the consumers of online shopping platform into accuracy, insight and interaction experience. Takes the perceived value as the mediating variable from the prospect of perceived utility value and perceived hedonic value. This article use empirical research method to analyze the effect of three dimensions of online shopping AI experience to research the internal influence mechanism of consumers purchase intention. (3) Results:① The accuracy, insight and interaction experience of AI marketing technology have a significant positive impact on consumers' per-ceived utility value and hedonic value respectively; ②Both of the perceived utility value and perceived hedonic value obtained by AI technology experience can promote the formation of consumers' purchase intention; ③ The perceived hedonic value was better than perceived utility value to promote the consumers' purchase intention; ④The results of multi group analysis show that some younger and less experiences consumers groups prefer the pleasure experience such as shopping desire stimulation, shopping process relaxation and pleasure that AI marketing brought. However, utilitarian value cannot promote this kind of consumers' purchase intention. (4) Con-clusions: Perceived utility value and perceived hedonic value can be the intermediary between AI technology and consumers' purchase intention.

Exploring consumer attitudes and purchasing intentions of cross-border online shopping in Korea

2018 ◽  
Vol 22 (2) ◽  
pp. 86-104 ◽  
Author(s):  
Bangwool Han ◽  
Minho Kim ◽  
Jaehoon Lee
Keyword(s):  
Service Quality ◽  
Behavioral Intentions ◽  
Online Shopping ◽  
Behavioral Control ◽  
Estimation Method ◽  
Perceived Behavioral Control ◽  
Normative Structure ◽  
Content Type ◽  
Cross Border ◽  
National Borders

Purpose Using the theory of planned behavior as its basis, the purpose of this paper is to investigate the relationships among beliefs about electronic service quality (E-S-QUAL); consumers’ need for uniqueness (CNFU); and beliefs about perceived behavioral control, expectations of important others, and cross-border online purchasing behavioral intention. The effects of E-S-QUAL and CNFU on attitude are examined with data collected from Korean consumers who have cross-border online purchasing experience. Design/methodology/approach The authors evaluate the research model in this study and test the hypotheses using partial least squares, an OLS regression-based estimation method that focuses on predicting independent variables hypothesized to have a causal relationship that maximizes the explanatory variance of the dependent variable. Findings Analysis of the data emphasizes that beliefs about E-S-QUAL and CNFU positively affect attitudes toward buying online from international sites, which in turn positively affect purchasing intention. Also, beliefs about self-efficacy and normative structure regarding cross-border online purchasing positively affect behavioral intentions. Originality/value This paper develops a conceptual model explaining consumers’ intentions to shop online across national borders. To the best of the authors’ knowledge, none of the previous studies have particularly mentioned the associations between beliefs about e-service quality and actual behavioral intentions in the context of cross-border online shopping. Also, the important role of CNFU has been ignored as one of the factors that can affect consumers’ decisions to shop online beyond national borders. In regard to this matter, the authors aim to investigate cross-border online shopping factors that can help international e-commerce gain a better understanding of the needs of their consumers.

Consumer Perceptions of Factors Affecting Online Shopping Behavior

2021 ◽  
Vol 19 (2) ◽  
pp. 1-16
Author(s):  
Musrat Siyal ◽  
Saeed Siyal ◽  
Jun Wu ◽  
Debajyoti Pal ◽  
Muhammad Mujahid Memon
Keyword(s):  
International Students ◽  
Technology Acceptance ◽  
Purchase Intention ◽  
Financial Risk ◽  
Online Shopping ◽  
Ease Of Use ◽  
Shopping Behavior ◽  
Chinese Consumers ◽  
Factors Affecting ◽  
Online Shopping Behavior

Online shopping is an emerging trend throughout the world. Likewise, it is used in China among Chinese consumers, but not all foreigners use it frequently due to several factors. This study discussed those factors which cause hindrance for foreigners to use online shopping and their behavior towards it. To do so, the authors have proposed the model by extending the technology acceptance model (TAM). The data were collected from the international students in China through a survey questionnaire and analyzed by SPSS to draw the results of the proposed relationships. The findings show that the online shopping behavior of international students in China is negatively related to financial risk and positively related to trust and ease of use. Moreover, purchase intention mediates these relationships. The results will be useful for consumers and online sellers to retain existing consumers and attract more foreigners studying in China. Moreover, the paper mentioned the implications and future directions of the study.

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