An empirical investigation of user and system recommendations in e-commerce

Lin, Zhijie

doi:10.1016/j.dss.2014.10.003

Cited by 102 publications

(74 citation statements)

References 52 publications

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“…The increase in the number of businesses and competition between them have led to a remarkable development in e-commerce over the last ten years and driven consumers to do online shopping rather than traditional shopping (Fang et al, 2014;Lin, 2014). The convenience of delivery service and easy access to the products, the opportunity of purchasing a limitless range of products, the possibility to compare them and find the most favourable one played key roles in this (Liu and Forsythe, 2010;Demirel, 2010;Mokhtarian, 2004).…”

Section: Introductionmentioning

confidence: 99%

How Uncertainty Avoidance, Power Distance and Indulgence Affect Social Commerce Expenditure? An Investigation Based on Facebook

Yildirim¹,

Barutçu²

2016

IntJSCS

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The increasing popularity of social networking sites (SNS) in recent years paved the way for the emergence of social commerce. As a subset of e-commerce, s-commerce establishes the communication between companies and consumers through SNS and allows online shopping. However, online shopping through s-commerce varies substantially between different regions. The differences observed in consumer behaviour stem from the different cultural background every society has. This study analyses the effects of Hofstede's cultural dimensions; uncertainty avoidance (UAI), power distance (PDI) and indulgence (ING), on s-commerce expenditure. With this purpose, the total amount of online expenditure for 53 countries chosen from different regions, their total number of internet and Facebook users, and data related to their cultural dimensions have been collected. In an effort to better understand the current state of s-commerce, annual average expenditure of per Facebook user in each country has been calculated through total online expenditure. Correlation and regression analysis have also been performed together with cultural dimensions. Following these findings, it has been concluded while UAI and PDI reduce s-commerce expenditure, ING increases it. Consequently, the findings demonstrate while consumer willingness to do online shopping decreases in the context of uncertainty and risk; increases when safety is provided.

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Section: Introductionmentioning

confidence: 99%

How Uncertainty Avoidance, Power Distance and Indulgence Affect Social Commerce Expenditure? An Investigation Based on Facebook

Yildirim¹,

Barutçu²

2016

IntJSCS

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“…En relación con los beneficios del e-Commerce para las empresas, se han destacado diversas ventajas, como mejoras en productividad a través de automatización de las transacciones (Gallego, 2016) y la consolidación de oferta y demanda por medio de intermediarios digitales (Lin, 2014). En el ámbito de pequeñas y medianas empresas, también se reconocen beneficios, Julta, et al (2002) estiman que el e-Commerce permite a las pequeñas empresas competir con grandes organizaciones y suplir sus deficiencias de conocimientos y experiencia, Afshar et al (2013) plantean que el e-Commerce es necesario en estas empresas para abordar oportunidades de ventas a nivel internacional.…”

Section: Marco Teóricounclassified

Relación de Capacitación con Adopción de Internet y E-Commerce: Diferencias entre Microemprendedores de Chile

Barrera

2017

Inf. tecnol.

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ResumenLa investigación que se presenta busca relacionar capacitación en micro-emprendedores en Chile con adopción de Internet y e-Commerce en su organización. Adicionalmente, estudiar la incidencia de edad, género, nivel educacional del emprendedor, número de socios de la organización y fuente de financiamiento de la capacitación, en adopción de Internet y e-Commerce, en grupo de micro-emprendedores capacitados. El análisis se efectúa a través de test de hipótesis y regresiones logísticas. Los resultados muestran relación entre capacitación y adopción de Internet y actividades e-Commerce seleccionadas, exceptuando la venta de productos. También indican que emprendedores con menor edad, género femenino, y mayor nivel educacional, adoptan Internet en sus empresas y efectúan algunas actividades e-Commerce en mayor medida. Por último, se evidencia que en microempresas con mayor cantidad de socios y que financian capacitación con recursos propios, se utiliza en mayor proporción Internet y algunas actividades eCommerce seleccionadas.Palabras claves: microemprendimiento; internet; e-commerce; capacitation; características demográficas. Relationship of Training with Internet Adoption and ECommerce: Differences in Microentrepreneurs from Chile AbstractThe research seeks to relate training in micro-entrepreneurs in Chile with Internet and e-Commerce adoption in their organization. Additionally, it studies the incidence of age, gender, educational level of the entrepreneur, number of partners of the organization and source of funding for training, in Internet adoption and e-Commerce in a group of micro-entrepreneurs trained. The analysis is performed through hypothesis test and logistic regressions. Results show the relationship between training and Internet adoption and selected e-Commerce activities, except for the sale of products. They also indicate that younger entrepreneurs, of female gender, and higher educational level, adopt the Internet in their companies and carry out some e-Commerce activities to a greater extent. Finally, it is shown that in microenterprises with more partners and that finance training with their own resources, Internet and some selected e-Commerce activities, are used in greater proportion.

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“…For example, Pazzani and Billsus introduced the strategy architecture of the content-based method [24]. Unlike earlier research that focused on technical factors [25], other studies turned their attention to the impact of recommendation systems on a customer's buying decision [8,[26][27][28]. Although there are many papers related to recommendation models, strategies [29], or procedures, few works have been conducted for a mobile e-commerce Sustainability 2018, 10, 147 3 of 13 recommendation system, which has specific characteristics.…”

Section: Recommendation Systemsmentioning

confidence: 99%

“…As an information technology to resolve the above problems [3,4], the recommendation system is widely applied by e-commerce practitioners and has become an important research topic in information science and decision-support systems [5,6]. Currently, the research on recommendation systems generally includes content-based filtering (CBF) [7], collaborative filtering (CF) [8,9], and other data-mining techniques [10], such as decision trees [11,12], association rules [13], and the semantic approach [14]. Although recommendation systems that could help users find the information they need more quickly have received extensive attention [15], research…”

Section: Introductionmentioning

confidence: 99%

Mobile e-Commerce Recommendation System Based on Multi-Source Information Fusion for Sustainable e-Business

Guo

Yin²,

Li³

et al. 2018

Sustainability

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A lack of in-depth excavation of user and resources information has become the main bottleneck restricting the predictive analytics of recommendation systems in mobile commerce. This article provides a method which makes use of multi-source information to analyze consumers' requirements for e-commerce recommendation systems. Combined with the characteristics of mobile e-commerce, this method employs an improved radial basis function (RBF) network in order to determine the weights of recommendations, and an improved Dempster-Shafer theory to fuse the multi-source information. Power-spectrum estimation is then used to handle the fusion results and allow decision-making. The experimental results illustrate that the traditional method is inferior to the proposed approach in terms of recommendation accuracy, simplicity, coverage rate and recall rate. These achievements can further improve recommendation systems, and promote the sustainable development of e-business.

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An empirical investigation of user and system recommendations in e-commerce

Cited by 102 publications

References 52 publications

How Uncertainty Avoidance, Power Distance and Indulgence Affect Social Commerce Expenditure? An Investigation Based on Facebook

How Uncertainty Avoidance, Power Distance and Indulgence Affect Social Commerce Expenditure? An Investigation Based on Facebook

Relación de Capacitación con Adopción de Internet y E-Commerce: Diferencias entre Microemprendedores de Chile

Mobile e-Commerce Recommendation System Based on Multi-Source Information Fusion for Sustainable e-Business

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