28,747 research outputs found
Recommended from our members
A revised perspective on the evaluation of IT/IS investments using an evolutionary approach
On-going research into the evaluation of Information Technology (IT) / Information Systems (IS) projects has shown that aerospace and supply chain industries are needing to address the issue of effective project investment in order to gain technological and competitive advantage. The evaluative nature of the justification process requires a mapping of interrelated quantities to be optimised. Earlier work by the authors (Irani and Sharif 1997) has presented a theoretical functional model that describes these relationships in turn. By applying a fuzzy mapping to these variables, the optimisation of intangible relationships in the form of a Genetic Algorithm (GA) is proposed as a method for investment justification. This paper revises and reviews these key concepts and provides a recapitulation of this optimisation problem in terms of long-term strategy options and cost implications.
Glossary of terms : DC = Direct Costs, FA = Financial Appraisal, FR = Financial Risks, FUR = Functional Risks, HC = Human Costs, IC = Indirect Costs, IR = Infrastructural Risks, OB = Operational Benefits, OC = Organisational Costs, PB = Project Benefits, PC = Project Costs, RF = Risk Factor, SB = Strategic Benefits, SM = Strategic medium-term benefit, SR = Systemic Risks, TB = Tangible Benefits, TC = Tangible Costs, TL = project lead time, TR = Technological Risks, V= Project Value
Framework of Social Customer Relationship Management in E-Health Services
Healthcare organization is implementing Customer Relationship Management
(CRM) as a strategy for managing interactions with patients involving
technology to organize, automate, and coordinate business processes. Web-based
CRM provides healthcare organization with the ability to broaden service beyond
its usual practices in achieving a complex patient care goal, and this paper
discusses and demonstrates how a new approach in CRM based on Web 2.0 or Social
CRM helps healthcare organizations to improve their customer support, and at
the same time avoiding possible conflicts, and promoting better healthcare to
patients. A conceptual framework of the new approach will be proposed and
highlighted. The framework includes some important features of Social CRM such
as customer's empowerment, social interactivity between healthcare
organization-patients, and patients-patients. The framework offers new
perspective in building relationships between healthcare organizations and
customers and among customers in e-health scenario. It is developed based on
the latest development of CRM literatures and case studies analysis. In
addition, customer service paradigm in social network's era, the important of
online health education, and empowerment in healthcare organization will be
taken into consideration.Comment: 15 pages. arXiv admin note: substantial text overlap with
arXiv:1204.3689, arXiv:1203.3919, arXiv:1204.3685, arXiv:1203.4309,
arXiv:1204.3691, arXiv:1203.392
Recommended from our members
Computer assisted mathematical programming
A Computer Assisted Mathematical Programming (Modelling) System (CAMPS) is described in this paper. The system uses program generator techniques for model creation and contrasts with earlier approaches which use a special purpose language to construct models. Thus no programming skill is required to formulate a model. In designing the system we have first analysed the salient components of the mathematical programming activity. A mathematical programming model is usually constructed by progressive definition of dimensions, data tables, model variables, model constraints and the matrix coefficients which connect the last two entities. Computer assistance is provided to structure the data and the resulting model in the above sequence. In addition to this novel feature and the automatic documentation facility, the system is in line with recent developments, and incorporates a friendly and flexible user interface
- …