An empirical investigation of the factors motivating Japanese repeat consumers to review their shopping experiences

Moriuchi, Emi; Takahashi, Ikuo

doi:10.1016/j.jbusres.2017.07.024

Cited by 31 publications

(40 citation statements)

References 71 publications

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“…Teo (2010Teo ( , 2016 asserted that this model is one of the most popular models used to identify the conditions or factors that facilitate technology in business. Although the TAM was first introduced and applied in the technology context, especially in the information system field, it has now been widely applied in other disciplines including marketing and e-commerce (Moriuchi & Takahashi, 2018;Pavlou, 2003), e-learning continuance intention (Roca, Chiu and Martinez, 2006), e-shopping adoption in Turkey (Celik and Yilmaz, 2011), Internet banking (Yaghoubi, 2010;Yousafzai, Foxall, & Pallister, 2010), social media users' arousal and valence on intention to go to festivals (Lee, Xiong, & Hu, 2012) and repeat online reviews. External variables such as user's subjective norms (SUB) are theorized to be the antecedents of the main constructs of this model (perceived ease of use [PEU] and perceived usefulness [PU]; Davis et al, 1989).…”

Section: Product Information Searchmentioning

confidence: 99%

“…For example, a person perceives the notion that when there is a person whom they think is more important to him or her, then, he or she would think twice about whether that behavior should or should not be performed (Teo, 2011). This outcome behavior may vary from intent to use, engage in a certain activity, intent to buy, intention to use the website for browsing and many other behavioral possibilities (Armitage & Conner, 2001;Moriuchi & Takahashi, 2018). Davis et al (1989) defined PEOU as "the degree to which using the technology will be free of effort (p. 320).…”

Section: Product Information Searchmentioning

confidence: 99%

“…The model explains that PEOU has an impact on PU. This relationship has been tested and has shown to be accurate (Moriuchi & Takahashi, 2018).…”

Section: Product Information Searchmentioning

confidence: 99%

“…Loyalty has a different definition depending on the situation which indicates a MORIUCHI | 491 difference in the variables to be measured. According to the TPB (Ajzen & Fishbein, 1980), loyalty can be measured by repurchase intention (Moriuchi & Takahashi, 2018) and by customization (Coelho & Henseler, 2012). Teo (2016) added that loyalty can be referred to as the attachment a consumer has to a service (e.g., storefront employees-consumers, AI-consumer).…”

Section: Attitude and Loyaltymentioning

confidence: 99%

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Okay, Google!: An empirical study on voice assistants on consumer engagement and loyalty

Moriuchi

2019

Psychology and Marketing

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212

179

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E‐commerce shopping has gradually become a norm in consumers’ choice of shopping channel and part of this shopping process is aided by advance technologies including voice assistants (VA). There is a variety of artificial intelligence that is being developed in the market currently, and one of which has gradually gained its presence or information acquisition is the VA. In this paper, we propose a model that investigates the technology acceptance model constructs (perceived ease of use and perceived usefulness) and its effect on the engagement and loyalty between VA and consumers. Our model also investigates the moderating role of localizing VA between transactional and nontransactional based online activities. This study highlights the implication of technology integration in an e‐commerce environment.

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Section: Product Information Searchmentioning

confidence: 99%

Section: Product Information Searchmentioning

confidence: 99%

“…The model explains that PEOU has an impact on PU. This relationship has been tested and has shown to be accurate (Moriuchi & Takahashi, 2018).…”

Section: Product Information Searchmentioning

confidence: 99%

Section: Attitude and Loyaltymentioning

confidence: 99%

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Okay, Google!: An empirical study on voice assistants on consumer engagement and loyalty

Moriuchi

2019

Psychology and Marketing

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212

179

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“…Kim, Ferrin, & Rao, 2009). Under the conditions of high level of flexibility and uncertainties in the Internet era, trust is still highlighted for its role in mitigating complexity (Moriuchi & Takahashi, 2018). An increasing number of dishonest behaviors in virtual environment make us pay more attention to trust-building within industrial clusters.…”

Section: Introductionmentioning

confidence: 99%

Do Industrial Clusters Still Matter to Trust-Building in the Internet Era? A Network Embeddedness Perspective

Wei

Rayman‐Bacchus

et al. 2019

Sage Open

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Despite the considerable amount of research regarding trust as one of the most important characters and competitive advantages for an industrial cluster, few empirical studies have examined whether geographic proximity still leads to higher levels of trust in the current Internet era. This article explores this issue of trust from a network embeddedness perspective. Based on the data from Zhongshan gas appliance cluster, we employ structural equation modeling to examine the extent to which relational embeddedness, structural embeddedness, and positional embeddedness have any impact on trust-building in the cluster. Our findings reveal that high clique trust and low aggregate trust coexist in the cluster, showing that the effect of geographical proximity on trust has been weakened and is no longer a sufficient condition for trust-building. This study also gives some suggestions on how to improve the trust within a cluster through network governance.Lez Rayman-Bacchus is a research follow in the Business School, University of Winchester, United Kingdom. He also founded the Centre for Corporate Responsibility at London Metropolitan University, and the international symposium on Corporate Responsibility and Sustainable Development. His research interests include the practice of strategy and international management, currently focused on Chinese SME attitudes and behavior in industrial network clusters, and that of Middle Eastern businesses. He has a background in both industry and academia. He spent more than 15 years with high technology multinational companies working in business development and marketing, before moving into research and teaching on strategy, corporate responsibility and sustainability, corporate ethics, and corporate governance. He has published more than about 30 papers as well as one academic book.GuangMing Xiang is pursuing master's degree in finance at the School of Management and Economics in UESTC.

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A cross‐cultural study on online reviews and decision making: An eye‐tracking approach

Moriuchi

Moriyoshi

2023

J of Consumer Behaviour

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Every information on an online review has a different impact on individual's decision‐making process. This difference is attributed to the individual's attribution of responsibility, which influences their cognition. In this study, a survey and eye‐tracker were used to conduct a study on restaurant reviews between two groups of participants (U.S. and Japan). Result suggests that the presentation of food in an image has a stronger impact on the Japanese respondents than it is for Americans. Between the two groups of participants, Americans focused more on the positive ratings, whereas Japanese focus on the extreme end of the ratings (1‐star vs. 5‐star). The distribution of the star ratings, which forms a particular letter shape (e.g., E) also has an impact on respondents' decision‐making process. Results show that Americans fixate on the shape of the distribution 7–8 times longer than the Japanese respondents. The result in this study suggests that the cultural cognition and attribution of responsibility, which is reflected in respondents' cultural dimensions (e.g., monumentalism vs. flexhumility), need to be considered. These considerations will affect how a company presents their information on a review site so that the content resonates and aids in their consumers' decision‐making process.

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An empirical investigation of the factors motivating Japanese repeat consumers to review their shopping experiences

Cited by 31 publications

References 71 publications

Okay, Google!: An empirical study on voice assistants on consumer engagement and loyalty

Okay, Google!: An empirical study on voice assistants on consumer engagement and loyalty

Do Industrial Clusters Still Matter to Trust-Building in the Internet Era? A Network Embeddedness Perspective

A cross‐cultural study on online reviews and decision making: An eye‐tracking approach

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