Exploring Determinants of Online Shopping Purchase Intention : Moderating Effects of Consumer Motivation and Competitor Consumption Experience

2021 ◽  
Vol 26 (2) ◽  
pp. 43-63
Author(s):  
Kikyoung Park ◽  
Keyword(s):  
Purchase Intention ◽  
Online Shopping ◽  
Moderating Effects ◽  
Consumer Motivation ◽  
Consumption Experience

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 Consumer Motivation to Enhance Purchase Intention Towards Electric Vehicles in Malaysia

2021 ◽  
Vol 124 ◽  
pp. 09003
Author(s):  
Haider Ali Abbasi ◽  
Zullina Hussain Shaari ◽  
Wajiha Moughal
Keyword(s):  
Electric Vehicles ◽  
Urban Areas ◽  
Purchase Intention ◽  
Combustion Engine ◽  
Life Quality ◽  
Consumer Adoption ◽  
Consumer Motivation ◽  
Poor Countries ◽  
The Government ◽  
Rich Countries

Transportation is extremely important in contributing to the life quality development of urban areas. However, it has influenced negatively on individuals and the environment due to carbon emissions and gases. Worldwide, organizations and countries are exploring a solution and have developed Electric Vehicles (EVs) as the best possible solution. Electric vehicles emit no exhaust emissions and are powered by batteries. The adoption rate of EVs in rich countries is increasing year after year, while consumer adoption intention of EVs in poor countries is quite low, particularly in Malaysia. The ownership percentage of Internal Combustion Engine Vehicles (ICEs) in Malaysia is 93 percent, placing it near the top of the globe, but EV adoption is just about 3.5 percent. Consumer awareness of EVs is quite low, which is why consumer adoption intentions toward EVs are not increasing. Malaysia is the world's 26th highest emitter of carbon and greenhouse gases (GHG). This study will assist in identifying the characteristics that can maximize consumer interest in EVs and will be beneficial to the government and industry in developing the market as stated in the Paris accord and achieving the Carbon Neutral Nation 2050 aim. The study will go through the motivators that lead consumers to purchase EVs. These characteristics will provide transportation sectors insights on bridging the demand and supply of sustainable vehicles.

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.

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.

Technology readiness and e-service quality – impact on purchase intention and loyalty

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Doddahulugappa Goutam ◽  
Shirshendu Ganguli ◽  
B.V. Gopalakrishna
Keyword(s):  
Service Quality ◽  
Purchase Intention ◽  
Online Shopping ◽  
Positive Impact ◽  
Vital Role ◽  
Three Dimensions ◽  
Technology Readiness ◽  
Content Type ◽  
Study Results ◽  
Impact Of Technology

PurposeThis paper aims to explore impact of technology readiness (TR) on e-service quality (ESQ) and effect of ESQ and TR on purchase intention (PI) and behavioral loyalty (BL) in the context of online shopping.Design/methodology/approachWith the help of the existing literature, the authors propose a conceptual model. Questionnaire was designed to collect data, and analysis has been done using a final sample of 341 respondents.FindingsThe results show how TR has a significant impact on ESQ, PI and BL. Outcomes also highlight that only three dimensions of ESQ have a positive impact on both PI and BL. System availability dimension of ESQ impacts neither PI nor BL. Therefore, TR and ESQ together play a vital role as enablers in influencing BL and PI in online shopping context.Practical implicationsThe study results will serve as a guide to business-to-consumer e-commerce players and help them to determine how TR and ESQ dimensions will help them to build BL and PI for online shopping.Originality/valueThis is one of the first studies that takes into consideration both TR and ESQ and check how they impact PI and BL. Also, in the Indian context, it is an under-researched area and tries to fulfill this gap.

Determinants of the online purchase intention: hedonic motivations, prices, information and trust

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pedro Espírito Santo ◽  
Alzira Maria Ascensão Marques
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Online Shopping ◽  
Structural Model ◽  
Easy Access ◽  
Online Information ◽  
Access To Information ◽  
Content Type ◽  
Online Purchase ◽  
The Impact

PurposeThe Internet has changed the nature of purchasing, proof of this being the proliferation of e-commerce sites which have seen their activity grow more quickly due to the COVID-19 pandemic. Therefore, the authors aim to investigate the impact of the consumer's hedonic motivations, price, access to information and trust on the online purchase intention.Design/methodology/approachA quantitative, transversal study of a conclusive nature was carried out. Based on information gathered through a questionnaire administered to a sample of 750 online purchasers, a structural equation model was estimated.FindingsThe results showed that the intention to continue purchasing in online shops is partly explained by access to information online, hedonic motivations and trust in e-commerce sites. It stands out that online information generates trust, and the perception of online prices does not influence loyalty but has a positive influence on hedonic motivations.Research limitations/implicationsAlthough some constructs were ignored, for example, the integration of channels, experiential marketing and the fear of fraud, including unauthorised use of personal details, the study shows that easy access to useful information about products, prices, promotions is an important antecedent of online purchase.Practical implicationsOnline shop managers should pay special attention to e-commerce websites, and the information provided there should explore consumer's hedonic motivations for adventure. Furthermore, it is fundamental to create trust in order to maintain the interest in online shopping.Originality/valueThe estimation of the structural model in the context of online shopping includes the influence of utilitarian motivations (price and access to information), which offer a rational experience and also include emotional motivations (hedonic adventure motivations) on the intention to buy online. The results also revealed that it plays an important role to promote online trust and online loyalty.

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