Mobile telecommunication networks and mobile commerce : towards its applications in chinese market

La télécommunication mobile connecte les personnes de n'importe où à tout moment. La transmission de la voix et des données à travers les réseaux de télécommunication mobile permet d'envoyer des informations et de diriger des transactions d'une manière nouvelle. Cela crée un nouveau domaine d'affaires qui s'appelle du commerce mobile, une affaire étendue basée sur l'Internet avec de nombreux des caractéristiques uniques ajoutés. Comme un soutien fondamental du plate-forme, les réseaux de la télécommunication mobile joue un rôle essentiel dans le commerce mobile. Leurs caractéristiques techniques et le déploiement déterminent l'essence pour le commerce mobile. Dans cette mémoire, nous étudions et présentons les caractéristiques techniques des technologies communications mobiles du réseau 1G à 3G et au-delà. Nous étudions également les technologies WLAN et WAP qui sont courantes dans le commerce mobile en Chine et dans le monde. Le commerce mobile est en train de se développer, le nombre d'utilisateurs de téléphones mobiles sont de plus en plus en Chine et dans ce monde. Les utilisateurs mobiles énormes en Chine ainsi que la maturité des technologies 3G affichent un fort potentiel pour offrir et d'adopter plus les nouveaux services mobiles. Après réviser l'évolution du commerce mobile et l'histoire du succès i-mode au Japon, nous nous concentrons sur le mobile du marché chinois de manière à découvrir son marché, l'infrastructure du réseau mobile, et le modèle d'affaires. Fondé sur la base de notre enquête sur le commerce mobile chinois, nous présentons, selon notre jugement, les services mobiles et des applications que sont convenables pour la Chine. Parmi eux, nous pensons qu'il y a la tendance sur les services basés sur la localisation et services orientées de l'architectures. Cette tendance peut attirer plus d'attention à offrir de nouveaux services. En plus, elle peut offrir des services d'intégration et de personnalisation qui viennent de fournisseurs de services mobiles et des utilisateurs finaux. ______________________________________________________________________________ MOTS-CLÉS DE L’AUTEUR : Gestion intégrée et écosystémique, Principe de précaution, Communication entre acteurs, Risques sur l'environnement et la santé

A conceptual framework for the direct marketing process using business intelligence

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Direct marketing is becoming a key strategy for organisations to develop and maintain strong customer relationships. This method targets specific customers with personalised advertising and promotional campaigns in order to help organisations increase campaign responses and to get a higher return on their investments. There are, however, many issues related to direct marketing, ranging from the highly technical to the more organisational and managerial aspects. This research focuses on the organisational and managerial issues of the direct marketing process and investigates the stages, activities and technologies required to effectively execute direct marketing. The direct marketing process integrates a complex collection of marketing concepts and business analytics principles, which form an entirely ‘self-contained’ choice for organisations. This makes direct marketing a significantly difficult process to perform. As a result, many scholars have attempted to tackle the complexity of executing the direct marketing process. However, most of their research efforts did not consider an integrated information system platform capable of effectively supporting the direct marketing process. This research attempts to address the above issues by developing a conceptual framework for the Direct Marketing Process with Business Intelligence (DMP-BI). The conceptual framework is developed using the identified marketing concepts and business analytics principles for the direct marketing process. It also proposes Business Intelligence (BI) as an integrated information system platform to effectively execute the direct marketing process. In order to evaluate and illustrate the practicality and impact of the DMP-BI framework, this thesis adopts a case study approach. Three case studies have been carried out in different industries including retailing, telecommunication and higher education. The aim of the case studies is also to demonstrate the usage of the DMP-BI framework within an organisational context. Based on the case studies’ findings, this thesis compares the DMP-BI framework with existing rival methodologies. The comparisons provide clear indications of the DMP-BI framework’s benefits over existing rival methodologies

Knowledge intensive service activities (KISAs) in Korea's innovation system

노트 : This is submitted to the Korea Development Institute as the Final Report of “Analysis on Knowledge-Intensive Service Activities in Korea’s Innovation System”, in fulfillment of the Contract between KDI and STEPI. This Research is Fully Sponsored by Strategic Research Partnership of Korea Development Institute

Analytical customer relationship management in retailing supported by data mining techniques

Tese de doutoramento. Engenharia Industrial e Gestão. Faculdade de Engenharia. Universidade do Porto. 201

Large scale data analysis using MLlib

Recent advancements in the internet, social media, and internet of things (IoT) devices have significantly increased the amount of data generated in a variety of formats. The data must be converted into formats that is easily handled by the data analysis techniques. It is mathematically and physically expensive to apply machine learning algorithms to big and complicated data sets. It is a resource-intensive process that necessitates a huge amount of logical and physical resources. Machine learning is a sophisticated data analytics technology that has gained in importance as a result of the massive amount of data generated daily that needs to be examined. Apache Spark machine learning library (MLlib) is one of the big data analysis platforms that provides a variety of outstanding functions for various machine learning tasks, spanning from classification to regression and dimension reduction. From a computational standpoint, this research investigated Apache Spark MLlib 2.0 as an open source, autonomous, scalable, and distributed learning library. Several real-world machine learning experiments are carried out in order to evaluate the properties of the platform on a qualitative and quantitative level. Some of the fundamental concepts and approaches for developing a scalable data model in a distributed environment are also discussed

Business intelligence for sustainable competitive advantage: the case of telecommunications companies in Malaysia

The concept of Business Intelligence (BI) as an essential competitive tool has been widely emphasized in the strategic management literature. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well explained. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage.Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.This research uses combination of theoretical foundation of resource-based theory and diffusion of innovation theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. Qualitative field study then is carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of business analysts and decision makers in telecommunications firms and is analyzed by Partial Least Square-based Structural Equation Modeling.The findings revealed that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management will have better chance in realizing their dreams of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility and observability are also significant in ensuring BI success. It thus implied that the executives’ positive perceptions towards BI initiatives are deemed necessary. Moreover, the most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social and environmental issues.The BI model well explained how BI was deployed in Malaysian telecommunications companies. This study thus contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts

Customer Service Retention – A Behavioural Perspective of the UK Mobile Market

Abstract Customer retention is essential for firms in the service sector and will subsequently receive a great deal of attention in the coming years. A large majority of firms are losing their current customers at a significant rate. UK operators lose over a third of their subscribers every year in spite of incurring large customer acquisition and retention expenditures. A study of customer retention from a variety of angles, including economic, behavioural and psychological perspectives, was rigorously carried out. It has been found that a majority of scholars explain customer retention from a behavioural perspective by using unrelated or indirect factors such as trust and commitment, price terms, and loyalty terms. It has also been noted that previous studies lack a clear theoretical background and a solid empirical proof to support their findings of customer operant retention behaviour. This study approaches the customer retention problem in the mobile phone sector from a behavioural perspective, applying the Behavioural Perspective Model as the main analytical framework. The model includes a set of pre-behaviour and post-behaviour factors to study consumer choice and explains its relevant drivers in a viable and comprehensive way, grounded in radical behaviourism. Many data collection methods were used to collect data from the study sample, including mobile contracts content analysis techniques, customer focus groups, and, principally, a customer survey supported by interviews with a number of managers. The data were analysed using different regression measurements to test the study model, and the propositions were constructed and tested quantitatively and discussed qualitatively. Analysis revealed that a customer will buy a mobile telecommunication package and engage in a long-term relationship with a supplier whom he or she believes will honour the relationship’s functional and emotional benefits; the consumer will be expecting to obtain such benefits when he/she buys, consumes, and has a positive experience of both the purchased object and the seller