980 resultados para Costumer Relantionship Management (CRM)


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Established supply chain management techniques such as Quick Response (QR) or Customer Relationship Management (CRM) have proven the potential benefits of reorganizing an organization’s processes to take advantage of the characteristics of electronic information exchange. As the Internet and other proprietary networks expand, however, organizations have the opportunity to use this enabling infrastructure to exchange other, more varied types of information than traditional electronic data interchange (EDI) messages. This is especially true of companies with global operations and interests, which lead to a more diverse set of trading activities. This case presents the experiences of a large Australian paper products manufacturer in implementing an electronic document exchange strategy for supply chain management, including the drivers for change which spurred their actions, and describes the issues associated with trying to support existing and future requirements for document exchange across a wide variety of trading partners. The experiences of PaperCo will be relevant to organizations with diverse trading partners, especially small to medium enterprises (SMEs).

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In order to enhance their capabilities in clinical risk management (CRM) and to be integrated into safe and effective patient safety organisational processes and systems, neophyte graduate nurses need to be provided with pertinent information on CRM at the beginning of their employment. What and how such information should be given to new graduate nurses, however, remains open to question and curiously something that has not been the subject either of critique or systematic investigation in the nursing literature. This article reports the findings of the third and final cycle of a 12 month action research (AR) project that has sought to redress this oversight by developing, implementing and evaluating a CRM education program for neophyte graduate nurses. Conducted in the cultural context of regional Victoria, Australia, the design, implementation and evaluation of the package revealed that it was a useful resource, served the intended purpose of ensuring that neophyte graduate nurses were provided with pertinent information on CRM upon the commencement and during their graduate nurse year, and enabled graduate nurses to be facilitated to translate that information into their everyday practice.

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Objectives: To explore and describe key processes influencing the development of graduate nurse capabilities in clinical risk management (CRM).

Methods: This study was undertaken using an exploratory descriptive case study method. Four sample units of analysis were used, notably: 2 cohorts of graduate nurses (n = 11) undertaking a 12-month graduate nurse transition program; key stakeholders (n = 34), that is, nurse unit managers, clinical teachers, preceptors, a quality manager, a librarian, and senior nurse administratiors employed by the participating health service; patient outcome data; and pertinent literature.

Results: Data strongly suggested that graduate nurse capabilities in CRM were most influenced not by their supposed lack of clinical knowledge and skills but by their lack of corporate knowledge. The failure to provide new graduate nurses with pertinent information on CRM at the beginning of their employment and thereafter at pertinent intervals during the graduate nurse year program aslo hindered the development of their capabilities to manage clinical risk.

Conclusions: Management and educational processes pertinent to informing and involving new graduate nurses in a hospital's local CRM program (including information about the organization's local policies and procedures) need to be implemented systematically at the very beginning of a new graduate's employment and thereafter throughout the remainder of the graduate nurse year.

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Nurses have a pivotal role to play in clinical risk management (CRM) and promoting patient safety in health care domains. Accordingly, nurses need to be prepared educationally to manage clinical risk effectively when delivering patient care. Just what form the CRM and safety education of nurses should take, however, remains an open question. A recent search of the literature has revealed a surprising lack of evidence substantiating models of effective CRM and safety education for nurses. In this paper, a critical discussion is advanced on the question of CRM and safety education for nurses and the need for nurse education in this area to be reviewed and systematically researched as a strategic priority, nationally and internationally. It is a key contention of this paper that without ‘good’ safety education research it will not be possible to ensure that the educational programs that are being offered to nurses in this area are evidence-based and designed in a manner that will enable nurses to develop the capabilities they need to respond effectively to the multifaceted and complex demands that are inherent in their ethical and professional responsibilities to promote and protect patient safety and quality care in health care domains.

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This study investigated the alignment between market research, business strategy and customer relationship management (CRM). With the introduction of advanced IT systems which collect and model internal customer data (CRM), marketing managers face new choices when seeking information to facilitate their particular business strategy. A survey of market research (MR) and CRMusage was conducted among 207 marketing managers. The findings showed the Miles and Snow Prospector strategists placed greater reliance on both MR and internal CRM data systems than did Defenders. This applied in their tasks of developing new strategies and in enlisting senior management support for their actions. As Prospectors were the most reliant on both traditional market research and CRM systems, they need to be skilled in using CRM in conjunction with traditional research methods. Marketing managers who use CRM will need to foster functional relationships with the technical specialists who run CRM systems.

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Foco em estratégias empresariais para a longevidade da relação com clientes, comunicação personalizada bidirecional, múltiplos pontos de contato, novas formas de segmentação de mercado, estrutura organizacional descentralizada e mensuração em tempo real da satisfação dos clientes, são exemplos que indicam a existência de uma forma de marketing diferenciada, denominada de marketing de relacionamento. Motivada pela crescente demanda empresarial por tecnologias mercadológicas, a indústria de softwares criou, em meados dos anos 90, um sistema denominado de Customer Relationship Management (CRM) com a promessa de gerenciar, de forma integrada, todos os relacionamentos com os clientes. Gradativamente, novas funcionalidades foram incorporadas ao sistema que alcançou ampla difusão no meio empresarial, responsável por investimentos na ordem de bilhões de dólares ao ano. Enquanto os fabricantes de CRM anunciam crescimentos significativos de vendas, o mercado vem apresentando sinais de insatisfação. Há dúvidas se a implementação do sistema seria suficiente para viabilizar o marketing de relacionamento e quais são seriam suas potencialidades. Pesquisar a teoria do marketing de relacionamento, levantar qUaiS são os seus elementos determinantes e investigar as possibilidades do CRM poderá contribuir para proporclOnar beneficios mútuos para as quatro partes envolvidas no relacionamento: os clientes, as empresas que comercializam produtos e serviços, fabricantes e implementadores de CRM.

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Bestehende Modelle im Customer Relationship Management (CRM) weisen diverse Schwachstellen auf. Erstens sind viele Kunden durch die große zu verarbeitende Informationsmenge überfordert, zweitens gelingt es vielen Anbietern nicht, die Konsistenz und Relevanz der gesammelten Kundendaten zu gewährleisten, und drittens bringen Kunden den Anbietern nicht das Vertrauen entgegen, das für eine umfassendere Offenlegung von Kundendaten erforderlich wäre. Durch die Einschaltung eines Intermediärs können diese Schwachstellen gemildert werden. Zusätzlich bietet die Intermediation die Möglichkeit, Transaktionskosten zu senken, die Macht der Kunden zu bündeln und die Beziehungen zu Kunden zu intensivieren. Ermöglicht wird dies durch die engere Verknüpfung der Kommunikations- und der Einkaufsfunktionalitäten des Internets. Als Erfolgsfaktoren gilt es, die kritische Masse und das erforderliche Vertrauen zu erreichen sowie einen wesentlichen Beitrag zur Wertschöpfung zu leisten.

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Customer relationship management (CRM) implementation projects reflect a growing conceptual shift from the traditional engineering view of projects. Such projects are complex and risky because they call for both organisational and technological changes. This requires effective project management across various phases of the implementation process. However, few empirical researches have dealt with these project management issues. The aim of this research is to investigate how a “project team” manages CRM implementation projects successfully, across the different phases of the implementation process. We conducted an in-depth case study of the “Firm-Clients Branch” of a large telecommunications company in France. The findings show that, to manage CRM implementation projects successfully, an integrated and balanced approach is required. This involves appropriate system selection, effective process re-engineering and further development of organizational structures. We highlight the need for a “technochange approach” to achieve successful organisational transition and effective CRM implementation. The study reveals that the project team plays a central role throughout the implementation phases. Furthermore the effectiveness of technochange depends on project team performance, technology efficiency and close coordination with stakeholders.

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Computer software plays an important role in business, government, society and sciences. To solve real-world problems, it is very important to measure the quality and reliability in the software development life cycle (SDLC). Software Engineering (SE) is the computing field concerned with designing, developing, implementing, maintaining and modifying software. The present paper gives an overview of the Data Mining (DM) techniques that can be applied to various types of SE data in order to solve the challenges posed by SE tasks such as programming, bug detection, debugging and maintenance. A specific DM software is discussed, namely one of the analytical tools for analyzing data and summarizing the relationships that have been identified. The paper concludes that the proposed techniques of DM within the domain of SE could be well applied in fields such as Customer Relationship Management (CRM), eCommerce and eGovernment. ACM Computing Classification System (1998): H.2.8.

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This dissertation is a study of customer relationship management theory and practice. Customer Relationship Management (CRM) is a business strategy whereby companies build strong relationships with existing and prospective customers with the goal of increasing organizational profitability. It is also a learning process involving managing change in processes, people, and technology. CRM implementation and its ramifications are also not completely understood as evidenced by the high number of failures in CRM implementation in organizations and the resulting disappointments. ^ The goal of this dissertation is to study emerging issues and trends in CRM, including the effect of computer software and the accompanying new management processes on organizations, and the dynamics of the alignment of marketing, sales and services, and all other functions responsible for delivering customers a satisfying experience. ^ In order to understand CRM better a content analysis of more than a hundred articles and documents from academic and industry sources was undertaken using a new methodological twist to the traditional method. An Internet domain name (http://crm.fiu.edu) was created for the purpose of this research by uploading an initial one hundred plus abstracts of articles and documents onto it to form a knowledge database. Once the database was formed a search engine was developed to enable the search of abstracts using relevant CRM keywords to reveal emergent dominant CRM topics. The ultimate aim of this website is to serve as an information hub for CRM research, as well as a search engine where interested parties can enter CRM-relevant keywords or phrases to access abstracts, as well as submit abstracts to enrich the knowledge hub. ^ Research questions were investigated and answered by content analyzing the interpretation and discussion of dominant CRM topics and then amalgamating the findings. This was supported by comparisons within and across individual, paired, and sets-of-three occurrences of CRM keywords in the article abstracts. ^ Results show that there is a lack of holistic thinking and discussion of CRM in both academics and industry which is required to understand how the people, process, and technology in CRM impact each other to affect successful implementation. Industry has to get their heads around CRM and holistically understand how these important dimensions affect each other. Only then will organizational learning occur, and overtime result in superior processes leading to strong profitable customer relationships and a hard to imitate competitive advantage. ^

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The proposition underpinning this study is engaging in meaningful dialogue with previous visitors represents an efficient and effective use of resources for a destination marketing organization (DMO), compared to above the line advertising in broadcast media. However there has been a lack of attention in the tourism literature relating to destination switching, loyalty and customer relationship management (CRM) to test such a proposition. This paper reports an investigation of visitor relationship marketing (VRM) orientation among DMOs. A model of CRM orientation, which was developed from the wider marketing literature and a prior qualitative study, was used to develop a scale to operationalise DMO visitor relationship orientation. Due to a small sample, the Partial Least Squares (PLS) method of structural equation modelling was used to analyse the data. Although the sample limits the ability to generalise, the results indicated the DMOs’ visitor orientation is generally responsive and reactive rather than proactive.

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This thesis investigates profiling and differentiating customers through the use of statistical data mining techniques. The business application of our work centres on examining individuals’ seldomly studied yet critical consumption behaviour over an extensive time period within the context of the wireless telecommunication industry; consumption behaviour (as oppose to purchasing behaviour) is behaviour that has been performed so frequently that it become habitual and involves minimal intentions or decision making. Key variables investigated are the activity initialised timestamp and cell tower location as well as the activity type and usage quantity (e.g., voice call with duration in seconds); and the research focuses are on customers’ spatial and temporal usage behaviour. The main methodological emphasis is on the development of clustering models based on Gaussian mixture models (GMMs) which are fitted with the use of the recently developed variational Bayesian (VB) method. VB is an efficient deterministic alternative to the popular but computationally demandingMarkov chainMonte Carlo (MCMC) methods. The standard VBGMMalgorithm is extended by allowing component splitting such that it is robust to initial parameter choices and can automatically and efficiently determine the number of components. The new algorithm we propose allows more effective modelling of individuals’ highly heterogeneous and spiky spatial usage behaviour, or more generally human mobility patterns; the term spiky describes data patterns with large areas of low probability mixed with small areas of high probability. Customers are then characterised and segmented based on the fitted GMM which corresponds to how each of them uses the products/services spatially in their daily lives; this is essentially their likely lifestyle and occupational traits. Other significant research contributions include fitting GMMs using VB to circular data i.e., the temporal usage behaviour, and developing clustering algorithms suitable for high dimensional data based on the use of VB-GMM.

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In this issue of the Journal, the articles presented to the readers cover the breadth and depth of project management research and practice by addressing the relationship between project strategy and managing projects (Patanakul and Shenhar, “What Project Strategy Really Is: The Fundamental Building Block in Strategic Project Management”), on the need to align corporate strategy with program management (Ritson, Johansen, and Osborne, “Successful Programs Wanted: Exploring the Impact of Alignment”), identifying metrics to measure program success across project contexts (Shao, Müller, and Turner, “Measuring Program Success”), managing individual projects by identifying major risks in customer relationship management (CRM) implementation projects (Papadopoulos, Ojiako, Chipulu, and Lee, “The Criticality of Risk Factors in Customer Relationship Management Projects”), application of earned value management (EVM) to aerospace projects (Kwak and Anbari, “History, Practices, and Future of Earned Value Management in Government: Perspectives From NASA”), and capturing tacit knowledge of construction project professionals to determine the optimal construction site layout (Abdul-Rahman, Wang, and Siong, “Knowledge Acquisition Using Psychotherapy Technique for Critical Factors Influencing Construction Project Layout Planning”)...

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We discuss a dynamic pricing model which will aid automobile manufacturer in choosing the right price for customer segment. Though there is oligopoly market structure, the customers get "locked" into a particular technology/company which virtually makes the situation akin to a monopoly. There are associated network externalities and positive feedback. The key idea in monopoly pricing lies in extracting the customer surplus by exploiting the respective elasticities of demand. We present a Walrasian general equilibrium approach to determine the segment price. We compare the prices obtained from optimization model with that from Walrasian dynamics. The results are encouraging and can serve as a critical factor in Customer Relationship Management (CRM) and thereby effectively manage the lock-in.