The Determinants of Online Vegetables/Fruits Repurchase Intention: Stimulus-Organism-Response Model and Theory of Planned Behaviour

Fikri, Amir; Nurmalina, Rita; Najib, Mukhamad; Simanjuntak, Megawati

doi:10.19044/esj.2019.v15n10p147

Cited by 5 publications

(3 citation statements)

References 65 publications

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“…From the perspective of e-commerce services, Zhang Beijia [22] takes the ease of online return policy as a stimulus variable that has a positive impact on consumers' purchase intention through the intermediary effect of perceived commodity quality, while perceived shopping risk cannot be used as an intermediary variable to influence consumers' purchase intention. From the perspective of e-commerce platform reputation and image, it is found that reputation has a positive correlation with online repurchase intention, perceived risk has a negative impact on online repurchase behavior, and subjective norms have a positive impact on consumers' purchase intention [23]. Online store image can influence consumers' online purchasing behavior through consumer interest [24], perceived value, and flow experience [25].…”

Section: Donovan and Rossitermentioning

confidence: 99%

AI Technology and Online Purchase Intention: Structural Equation Model Based on Perceived Value

Yin

Qiu

2021

Sustainability

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(1) Background: AI technology has been deeply applied to online shopping platforms to provide more accurate and personalized services for consumers. It is of great significance to study the different functional experiences of AI for consumers to improve the current application status of AI technology. (2) Method: Based on the “SOR” model, this study divides the AI technology experienced by the consumers of online shopping platforms into three dimensions: accuracy, insight, and interaction experience. The perceived value is taken as the mediating variable from the prospect of perceived utility value and perceived hedonic value. This article uses empirical research methods to analyze the effect of the 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 each have a significant positive impact on consumers’ perceived utility value and hedonic value; 2. Both the perceived utility value and perceived hedonic value obtained by an AI technology experience can promote the formation of consumers’ purchase intention; 3. The perceived hedonic value was better than perceived utility value at promoting the consumers’ purchase intention.

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Section: Donovan and Rossitermentioning

confidence: 99%

AI Technology and Online Purchase Intention: Structural Equation Model Based on Perceived Value

Yin

Qiu

2021

Sustainability

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show abstract

“…Organism Response effect of perceived commodity quality, while perceived shopping risk cannot be used as an intermediary variable to influence consumers' purchase intention. From the perspective of e-commerce platform reputation and image, it is found that reputation has a positive correlation with online repurchase intention, perceived risk has a negative impact on online repurchase behavior and subjective norms have a positive impact on consumers' purchase intention [15]. Online store image can influence consumers' online purchasing behavior through consumer interest [16], perceived value and flow experience [17].…”

Section: Stimulusmentioning

confidence: 99%

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

Yin¹,

Qiu²

2021

Preprint

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(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.

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“…Research of Date et al (2013) showed that attitudes, subjective norms, and perceived behavioral control influenced consumer intentions to adopt internet banking. Other studies also showed that attitudes towards behavior, subjective norms, and perceived behavioral control had a significant effect on intention (Kassem & Lee, 2004;Ma'ruf, 2005;Haghigh et al, 2012;Farizi & Tjahjono, 2016;Lestari et al, 2017;Ariyanto, 2018;Nugroho et al, 2018;Fikri et al, 2019;Setiawati et al, 2018). These studies used the Theory of Planned Behavior (TPB) as the analysis tool of the purchase intention.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Intention to Buy Cinema E-Tickets Among IPB Students with Theory of Planned Behavior (TPB) Approach

Simamora¹,

Djamaludin²

2020

JCS

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Internet technology has changed the way consumers buy products, one of which is the purchase of cinema tickets online (e-ticket). This study aimed to analyze of intention to purchase cinema e-tickets among IPB University students with the Theory of Planned Behavior (TPB) approach. This study used a cross-sectional study design and quantitative approach with online survey methods conducted at IPB campus. As many as 225 students were selected purposively as the research participant, with the criteria of undergraduate program students and had ever watched a movie at the cinema but had never bought a cinema e-ticket. The data analysis included descriptive analysis, reliability test, validity test, Spearmen correlation, and Structural Equation Model (SEM) using AMOS 21.0 and SPSS 25.0 programs. The results showed that age had a negative relationship with subjective norms, perceived behavioral control, and intention. The semester level also had a negative association with attitudes towards behavior, subjective norms, perceived behavioral control, and intention, whereas pocket money showed a negative relationship with subjective norms. The results of the analysis using SEM indicated that attitudes towards behavior, subjective norms, and perceived behavioral control had a significant positive effect on the intention to purchase cinema e-tickets. The perceived behavioral control variable had the most substantial influence on the purchase intention of cinema e-tickets, followed by subjective norms and attitudes towards behavior.

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The Determinants of Online Vegetables/Fruits Repurchase Intention: Stimulus-Organism-Response Model and Theory of Planned Behaviour

Cited by 5 publications

References 65 publications

AI Technology and Online Purchase Intention: Structural Equation Model Based on Perceived Value

AI Technology and Online Purchase Intention: Structural Equation Model Based on Perceived Value

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

Analysis of Intention to Buy Cinema E-Tickets Among IPB Students with Theory of Planned Behavior (TPB) Approach

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