14,998 research outputs found
Application of artificial neural network in market segmentation: A review on recent trends
Despite the significance of Artificial Neural Network (ANN) algorithm to
market segmentation, there is a need of a comprehensive literature review and a
classification system for it towards identification of future trend of market
segmentation research. The present work is the first identifiable academic
literature review of the application of neural network based techniques to
segmentation. Our study has provided an academic database of literature between
the periods of 2000-2010 and proposed a classification scheme for the articles.
One thousands (1000) articles have been identified, and around 100 relevant
selected articles have been subsequently reviewed and classified based on the
major focus of each paper. Findings of this study indicated that the research
area of ANN based applications are receiving most research attention and self
organizing map based applications are second in position to be used in
segmentation. The commonly used models for market segmentation are data mining,
intelligent system etc. Our analysis furnishes a roadmap to guide future
research and aid knowledge accretion and establishment pertaining to the
application of ANN based techniques in market segmentation. Thus the present
work will significantly contribute to both the industry and academic research
in business and marketing as a sustainable valuable knowledge source of market
segmentation with the future trend of ANN application in segmentation.Comment: 24 pages, 7 figures,3 Table
Customer empowerment in tourism through Consumer Centric Marketing (CCM)
We explain Consumer Centric Marketing (CCM) and adopt this new technique to travel context. Benefits and disadvantages of the CCM are outlined together with warnings of typical caveats
Value: CCM will be expected as the norm in the travel industry by customers of the future, yet it is only the innovators who gain real tangible benefits from this development. We outline current and future opportunities to truly place your customer at the centre and provide the organisation with some real savings/gains through the use of ICT
Practical Implications: We offer tangible examples for travel industry on how to utilise this new technology. The technology is already available and the ICT companies are keen to establish ways how consumers can utilise it, i.e. by providing âcontentâ for these ICT products the travel industry can fully gain from these developments and also enhance consumersâ gains from it. This can result in more satisfied customers for the travel (as well as ICT) companies thus truly adopting the basic philosophy of marketin
A new model to support the personalised management of a quality e-commerce service
The paper presents an aiding model to support the management of a high quality e-commerce service. The approach focuses on the service quality aspects related to customer relationship management (CRM). Knowing the individual characteristics of a customer, it is possible to supply a personalised and high quality service. A segmentation model, based on the "relationship evolution" between users and Web site, is developed. The method permits the provision of a specific service management for each user segment. Finally, some preliminary experimental results for a sport-clothing industry application are described
An intelligent recommendation system framework for student relationship management
In order to enhance student satisfaction, many services have been provided in order to meet student needs. A recommendation system is a significant service which can be used to assist students in several ways. This paper proposes a conceptual framework of an Intelligent Recommendation System in order to support Student Relationship Management (SRM) for a Thai private university. This article proposed the system architecture of an Intelligent Recommendation System (IRS) which aims to assist students to choose an appropriate course for their studies. Moreover, this study intends to compare different data mining techniques in various recommendation systems and to determine appropriate algorithms for the proposed electronic Intelligent Recommendation System (IRS). The IRS also aims to support Student Relationship Management (SRM) in the university. The IRS has been designed using data mining and artificial intelligent techniques such as clustering, association rule and classification
Data Mining in Electronic Commerce
Modern business is rushing toward e-commerce. If the transition is done
properly, it enables better management, new services, lower transaction costs
and better customer relations. Success depends on skilled information
technologists, among whom are statisticians. This paper focuses on some of the
contributions that statisticians are making to help change the business world,
especially through the development and application of data mining methods. This
is a very large area, and the topics we cover are chosen to avoid overlap with
other papers in this special issue, as well as to respect the limitations of
our expertise. Inevitably, electronic commerce has raised and is raising fresh
research problems in a very wide range of statistical areas, and we try to
emphasize those challenges.Comment: Published at http://dx.doi.org/10.1214/088342306000000204 in the
Statistical Science (http://www.imstat.org/sts/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Target group segmentation in the virtual space as a tool for defining the concept of a territory brand
Purpose: The article is aimed at investigating the possibility of competitiveness increase and investment attractiveness of the territory by means of virtual space segmentation where territorial entities interact.
Design/Methodology/Approach: At present, interaction of most economic agents is conducted by means of internet technologies and web platforms. In the framework of territory development special emphasis is given to a territory brand to attract investments. Sustainable territory development in the competitive environment directly depends on the unleashing of territory potential, which in its turn is closely related to the problem of attracting resources and investments. In the context of the developed information society competitiveness of territorial entities is largely determined by the level and activeness of their representation in the internet space. Since the quality of the territory is determined by a number of advantages over other territories claiming to the same investments, one of the key mechanisms of forming such advantages is an effective presence of a territorial entity in the internet space.
Findings: A three-tier synthetic model of the target group segmentation in the territory virtual space defining the brand concept is elaborated and justified.
Practical implications: In practice, a proposed toolkit allows organizing internet representation of the territory, which lets take the territory represented to a new level of competitiveness.
Originality/value: An original tool mechanism of forming the concept of territory brand by means of the target segmentation of the virtual space is proposed.peer-reviewe
A model to assess customer alignment through customer experience concepts
Business and Information Technology Alignment (BITA) has been one of the main
concerns of IT and Business executives and directors due to its importance to
overall company performance, especially today in the age of digital
transformation. For BITA has been developed several models which in general has
focused in the implementation of alignment strategies for the internal
operation of the organizations and in the measurement of this internal
alignment, but, there is still a big gap in measurement models of the alignment
with the external environment of the organizations. In this paper is presented
the design and application of a maturity measurement model for BITA with the
customers, where the customers are actors of the external environment of the
companies. The proposed model involves evaluation criteria and business
practices which the companies ideally do for improve the relationship with
their customers.Comment: 12 pages, Preprint version, BIS 2019 International Workshops,
Seville, Spain, June 26 to 28, 2019, Revised Paper
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