A social referral appraising mechanism for the e-marketplace

Lai, Cheng Yang; Li, Yung-Ming; Lin, Lien Fa

doi:10.1016/j.im.2016.07.001

Cited by 23 publications

(6 citation statements)

References 27 publications

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“…Our results also indicate that, when renters become more experienced in room-sharing services, they tend to be more open for the accommodation experience with the hosts not being in their age group, supporting the literature about the moderating effect of buyer experience on product sales in the cyber marketplace (Kim and Ahn, 2007;Lai et al, 2017). Alternatively, it is also possible that renters with more P2P room-sharing experiences tend to put more emphasis on the similarity in education and feel more inclined to choose the hosts who share similar values, behave alike and communicate more easily during their stay, or at least, use common languages in conversations, as indicated in Bstieler et al (2017).…”

Section: Discussionsupporting

confidence: 83%

“…In the meantime, relevant literature also suggests that as buyers gain more experience on e-commerce sites, the impact of the initial trust between buyers and sellers would become less salient (Kim and Ahn, 2007) and that experienced buyers are also able to evaluate the quality of a seller better than the inexperienced ones (Lai et al, 2017). Another empirical study about Airbnb revealed that "host capacity," as measured in the number of listings managed by a host, would also negatively moderate the impacts of different host attributes (e.g.…”

mentioning

confidence: 99%

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Buyer-seller similarity

Kwok

2018

IJCHM

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Purpose Buyers (renters) and sellers (hosts) on peer-to-peer (P2P) room-sharing websites make purchasing/selling decisions based on each other’s demographic information published in the cyber marketplace. Nevertheless, how this reciprocal selection based on the similarities between renters and hosts may lead to a successful P2P transaction of such services has not yet been discussed. Building on the similarity–attraction paradigm, this study assessed the similarity effects between renters and hosts on the likelihood of a P2P room-sharing transaction. Design/methodology/approach A logistical regression model was employed in analysis, using a large-scale, granular online observational data set collected from Xiaozhu.com, a primary home-sharing platform in China. Findings Renter–host similarities in age and education significantly affect the likelihood of a P2P room-sharing transaction. As the number of listings managed by a host increases, the effect of age similarity decreases. While a renter’s experience with a room-sharing website negatively moderates the similarity effect of age, it is a factor positively moderating the similarity effect of education. Research limitations/implications Other possible host–renter similarities were not analyzed due to the limitation of the data source. The reciprocal selection process for room-sharing services was acknowledged by integrating buyers’ and sellers’ data into one analysis. Practical implications Implications are advanced for the stakeholders of room-sharing business, including entrepreneurs running a room-sharing website, operators of short-term residential rentals and hoteliers. Originality/value This study represents a first attempt to research the buyer–seller similarity effects on the likelihood of a P2P transaction in sharing economy.

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Section: Discussionsupporting

confidence: 83%

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confidence: 99%

Buyer-seller similarity

Kwok

2018

IJCHM

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“…And there were four important influence factors on the consumers in terms of the perceived quality of a B2C online website, namely design, information content, security and privacy, respectively. In other words, it is necessary firstly for the website to satisfy customers' needs by providing the information or services they need, and then to present these services or information on a properly design web page, and lastly to guarantee consumers with complete security and privacy during transactions, to make sure that the customers will complete the transaction accordingly (Laia, Lia, & Lin, 2017).…”

Section: Website Characteristicsmentioning

confidence: 99%

A Comparison of the Online Shopping Behavior Patterns of Consumer Groups with Different Online Shopping Experiences

Wu¹,

Tsai²

2017

IJMS

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The appearance of Internet does not only bring changes to consumption patterns, but also to the business modes of companies, as a result of which Internet has become a perfect sales channel. When a consumer shops online, s/he might be influenced by a huge variety of factors. In this study, ABC model of attitude was adopted to investigate empirically the influences of website characteristics and external stimulus on consumers' online shopping behavior. A relationship model was also established to compare the differences of consumer groups with different online shopping experiences.Using convenience sampling, a total of 818 valid questionnaires were collected for the purpose of this study. Based on their online shopping experiences, consumers were divided into high frequency and low frequency groups in order to compare their consumption patterns as a group. According to the results, the two groups with different online shopping experiences were significantly different in three relational paths. To be specific: (1) Compared to the low frequency group, consumers in the high frequency group is more significantly positively influenced by website characteristics along the affection path during their online shopping. (2) Compared to the high frequency group, consumers in the low frequency group are more significantly positively influenced by website characteristics along the attitude path during their online shopping. (3) Compared with the low frequency group, a more significant positive influence is found among consumers in the high frequency group between consumer affection and consumer behavior path. These differences in the consumer behavior patterns of groups with different online shopping experiences according to the research results, therefore, could be used as references for online shopping business owners in their formulation of strategies.

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“…In fact, many studies mention that research on e-commerce in the world is currently an interesting topic to research (Farki & Baihaqi, 2016). Topics related to E-Marketplace as carried out by (Suryanto, 2018), (Pandy, 2018), (Lai et al, 2017), (Chong et al, 2018), (Fedorko et al, 2018), (Fayad & Paper, 2015), and (Al-Gahtani, 2011).…”

Section: Introductionmentioning

confidence: 99%

Exploring Consumers' Acceptance of E-Marketplace Using Tam and Flow Theory

Purwanto

Nurahman

Ismail

2020

IJAR

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One business models of E-commerce which well-developed is E-Marketplace. The internal competition of E-Marketplace remains tough yet some achieve its successful compared to the others. The parameter of successful E-Marketplace can be seen by the numbers of acceptance by the costumers. Hence, this research on E-marketplace acceptance is significant to be done. This research takes a case study in one of the Indonesian markets, named the ‘Pusat Perbelanjaan Mentaya’ (PPM) regarding the use of the E-marketplace. This research aims to find out the adoption of e-marketplace acceptance. Our research model based on Technology Acceptance Model (TAM) which is modified by adding shopping enjoyment variable (Flow Theory). This research applies quantitative research method; spreading questionaries and surveys. The data obtained were 240 from the PPM consumers who use E-marketplace application. Then the data would be used to examine the relationship between the variables of the proposed model. The results of this study show that the perception of the use of E-Marketplace application effects the perceived benefits. This due to the ease of operating the E-marketplace service affects users, moreover, sales and purchase transactions become more effective and efficient. In essence, the ease perceived also has an influence of the users’ attitude. This shows that E-marketplace service users feel that using these services increases effectiveness and benefits; they will not refuse to use E-marketplace services. The results in this study that the variable attitude towards use of Behavioral Intention is not accepted. Technology Acceptance Model, Technology Acceptance Theory, Shopping enjoyment, E-marketplace

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A social referral appraising mechanism for the e-marketplace

Cited by 23 publications

References 27 publications

Buyer-seller similarity

Buyer-seller similarity

A Comparison of the Online Shopping Behavior Patterns of Consumer Groups with Different Online Shopping Experiences

Exploring Consumers' Acceptance of E-Marketplace Using Tam and Flow Theory

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