An agent-based model for consumer-to-business electronic commerce

Chen, Deng‐Neng; Jeng, Bingchiang; Lee, Wei‐Po; Chuang, Cheng-Hung

doi:10.1016/j.eswa.2006.09.020

Cited by 77 publications

(45 citation statements)

References 26 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…More recent efforts have strived to develop prototypes with a consumeroriented bias. The MAGICS vision (Chen et al, 2008) is one such example. Participating stores are encouraged to establish special servers to deploy mobile agents at their own websites.…”

Section: Developments In Mobile Commercementioning

confidence: 99%

“…One strategy to counteract these restrictions is to adopt some level of intelligence into delivering effective mobile commerce services; specifically, the notion of agency has proven to be particularly attractive in realising services that are adaptive, personalised and context-aware (Shen et al, 2010). Furthermore agents have been expensively harnessed in standard e-commerce solutions (Lin, 2008;Fasli, 2007;Chen et al, 2008;Kowalczyk et al, 2002). In the case of m-commerce, one of the earliest (and most influential) research efforts of this kind was Impulse (Youll et al, 2000).…”

Section: Developments In Mobile Commercementioning

confidence: 99%

See 1 more Smart Citation

Retail in the Digital City

O’Hare

O’Grady

Keegan

2012

International Journal of E-Business Research

View full text Add to dashboard Cite

Conventional high street retailers face a multitude of challenges if they are to survive and thrive. Some of these difficulties arise from structural and economic issues; others may be sociological and demographic. However, to thrive, retailers must be perceived as being competitive, and must adopt innovative and invigorating strategies to maximise the potential of their situations while offsetting the limitations. In this paper, it is proposed that a judicious combination of low-cost Information and Communication Technologies (ICTs) could enable small retailers to harness the benefits of the information society and provide services congruent with the digital city concept. As an illustration of the issues involved, pertinent results from a systematic end-user evaluation of EasiShop are discussed.

show abstract

Section: Developments In Mobile Commercementioning

confidence: 99%

Section: Developments In Mobile Commercementioning

confidence: 99%

Retail in the Digital City

O’Hare

O’Grady

Keegan

2012

International Journal of E-Business Research

View full text Add to dashboard Cite

show abstract

“…Nonetheless, these works deal with a single robot, directed to cover previously known and specific tasks. Other examples involving a team of robots include problem modeling in electronic commerce [7], letter sending [5], truck route scheduling [13], regional energy demand modeling [22], rescue missions for victims of disasters [17]. Another work intended to be a complete system for programing a fleet of robots in a closed environment, whose objective is to carry out delivery orders, performing staggering and planning of routes for the robots is proposed by Surmann [19].…”

Section: Problem Statement and Motivationmentioning

confidence: 99%

Intellectual Development Model for Multi-Robot Systems

Maia

Gonçalves

2015

J Intell Robot Syst

View full text Add to dashboard Cite

We propose the IDeM-MRS learning formalism to be used by a group of robots for solving practical tasks in indoor environments. The formalism is inspired on the theory of social learning models for human beings that is traditionally developed in Psychology and Education fields. Our model can be used for coordination of the group, as for, allowing assimilation and accommodation of knowledge through experience exchange. Besides explaining the theoretical model itself, we formalize the mathematics involved with it in a very simple and straightforward fashion. Some issues are especially investigated such as the realistic representation of the multi-robot environment involving the global mission, the tasks belonging to the mission and the active set of robots. A way for task selection is proposed based on social learning theories and approaches that allow cooperative and efficient execution of tasks by robots. To this end, IDeM-MRS can be used in different types of missions varying from simple to complex. Experiments and results validate the efficiency of the formalism compared to a traditional empirical model.

show abstract

“…The intuitionistic fuzzy is introduced in [6] to solve multi decision making problems in C2B model. A multi-agent based buyer collective purchasing model is proposed in [7] matching to consumer-to-business e-commerce. This model focuses on synthesizing individual's preferences into business consensus so as to establish a successful business model.…”

Section: Related Workmentioning

confidence: 99%

“…In business brunch, big-data techniques break the traditional technology limitation in data collection and analysis. Current proposed big-data based e-business models perform well in product description, customer behavior searching and analysis [4], buyer needs synthesis and integration with diverse industries [7]. These models are generally with benefits like easy to use, cost-saving and low dependency on equipment.…”

Section: Introductionmentioning

confidence: 99%

Implementing a Big-Data Based C2B E-commerce in Agricultural Industry

Zhao¹,

Chen²

2018

Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)

View full text Add to dashboard Cite

Abstract. Recently, social networks and communication tools expose customer to extensive business information. This situation incurs higher customer requirements and rapidly changing market environments. Big-data and information technologies are introduced in business field for customer requirement analysis and preferences prediction, so as to respond to the rapidly changing business scenarios and achieve sustainable development. C2B is the reverse model of the traditional Business-to-Customer e-commerce strategy which enables consumers to name products or services such that the organization can generate the demand collection for a specific good or service. In China, current agricultural businesses are limited to B2C e-commerce which cannot accurately figure out urgent market requirements and predict consumer preferences. This situation cannot reverse farmers' inferior position. With consideration of characteristics of agricultural industry, this project deals with agricultural issues with a conceptual e-commerce model named big-data based Customer-to-Business (BD-C2B). This model types big-data and information strategy perspectives to the farming industry and outputs scientific business perspectives, so as to support efficient and effective decision making processes. BD-C2B integrates continuous stream data, information and analytics with stored data, and to analyze stream data chunk-by-chunk while maintaining the continuity of context for farmers to run smarter, more agile e-business. Case based reasoning (CBR) is introduced in this model for logic predicate and propositional logic, which contributes to the likelihood and preferences calculation of new proposed products or services. Analytic hierarchy process (AHP) algorithm and an intuitionistic fuzzy based framework are introduced for evaluating the performance of this model.

show abstract

An agent-based model for consumer-to-business electronic commerce

Cited by 77 publications

References 26 publications

Retail in the Digital City

Retail in the Digital City

Intellectual Development Model for Multi-Robot Systems

Implementing a Big-Data Based C2B E-commerce in Agricultural Industry

Contact Info

Product

Resources

About