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Knowledge Management And Information System Strategy

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knowledge Management and Information Systems Concept

In the present scenario, needs of customers are changing and companies across every sector are increasingly being asked to offer commodities in first instance and to support them during their complete life of service.  It requires a novel approach to operational, information system models and business. The knowledge management and information systems concept in the business environment is more than the origin of ideas of creating new methods, process and products for enhancing the organization revenue. During last many decades, dramatic advances in computing storage, power plus network technology have allowed people to generate, process or share wide amount of information in unique manner. As computing technology’s new applications are introduced and developed, such applications are used often in manners that are never imagines by their designers. In turn, new applications lead to new demands for even more powerful infrastructure of computing. In order to meet demands of such computing infrastructure, system designers are looking regularly for new system algorithms and architectures to process wide data collections more quickly than is possible with systems applied in today’s business organizations. Now it is possible to accumulate very powerful and large systems consisting of several small and inexpensive components of commodity, as computers have become less expensive, the capacity of disk drive continues to increase plus networks have become faster. These all made possible in business firms due to cloud computing infrastructure, which is being elaborated in below paper. Here, the discussion is inculcating about models of cloud computing as well as application of Enterprise 2.0 in organizations.

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1. Cloud computing service models and platforms supporting enterprise systems

Cloud computing a paradigm of computing where a large group of systems are associated in public and private networks for offering dynamically scalable application infrastructure, file storage and data. With the technological advent, the computation cost, content storage, application hosting plus delivery is significantly reduced. Cloud computing a useful approach of experiencing direct benefits of cost and has likeliness to transform a data centre from capital intensive arrangement to a variable priced atmosphere (Knorr, 2008). The cloud computing idea is based on very basic principle of “IT capabilities reusability”. The difference that brings from cloud computing compared to traditional concepts of “distributed computing”, “grid computing”, and autonomic computing” or “utility computing is to widen horizons across corporate boundaries.

Cloud Computing Models offers services, which can be clustered into following three groups:

Platform as a Service (Paas) – In this, a layer of development environment or software is offered and encapsulated as a service, on which other high service levels can be made. The client has freedom of developing their own applications that run on the infrastructure of providers. In order to meet requirements of applications scalability and manageability, PaaS providers give a pre identified combination of application and OS servers, such as Ruby, LAMP platform (Linux, Apache, MySql and PHP), restricted J2EE, etc. Some popular examples of PaaS are Force.com, Google App Engine, etc (Mell and Grance, 2011).

Software as a Service (SaaS) – In the particular model, whole application is provided to customer, as on demand service. A single instance of service operates on cloud plus varied end users are serviced (Cloud Computing Services, 2015). On the side of customers, there is no need for upfront investment in software licenses or servers, whereas for the provider, the costs are lessened, since only a sole application is required to be maintained and hosted. At present, SaaS is provided by organizations, like Salesforce, Google, Zoho, Microsoft, etc.

Infrastructure as a Service (IaaS) – It offers basic computing and storage capabilities as identical services above network. Storage systems, servers, data centre space, networking equipment, etc. are made available and pooled for handling workloads. The customer would deploy typically their personal software on the infrastructure. Few examples are 3 Tera, GoGrid, Amazon, etc (Weinhardt and et.al., 2009).

Additionally, as competition in the market is increasing, the consumer has become a main resource for enterprise that in return initiates the customer’s relationship management development. Fundamentally, it is a philosophy that focuses on consumers. By the effective use of IT techniques, reforming the function of business plus reengineering the flow of work, many novel consumers can be gained and present one can be stopped from leaving the organization. In current business scenario, several prospective applications of supply chain management and CRM are existing in the industrial clusters. The system of ERP are being used by companies for enhancing their growth and profits. Also, these systems can restrain the overall needed time for manufacturing phase as well as definitely increase the customer service. But it is not all the time easy of implementing and using effectively ERP systems due to few constraints (Weng and Hung, 2014).

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Hence, cloud computing has profound influence on the whole IT sector because of new models of business. Incorporated into all business applications sectors, the value will be reflected by cloud computing in deep. Through its rapid development, the cloud computing can support small business to access high performance services of IT with low cost. Similarly, the IT burden reduction can support enterprises to focus on its main business. The optimization of process that grounds on cloud computing can be attained by an industry’s large scale reconstruction and increase the overall competitiveness and standards of IT (Woodford, 2015).

REFERENCES

  • Cloud Computing Services. 2015. [Online]. Available through: <http://www.emc.com/corporate/glossary/cloud-computing-services.htm>. [Accessed on 28 November 2015].
  • Knorr, E., 2008. What cloud computing really means. [Online]. Available through: <http://www.infoworld.com/article/2683784/cloud-computing/what-cloud-computing-really-means.html>. [Accessed on 27 November 2015].
  • Mell, P. and Grance, T., 2011. The NIST definition of cloud computing.
  • Weinhardt, C. and et.al., 2009. Cloud computing–a classification, business models, and research directions. Business & Information Systems Engineering. 1 (5). pp.391-399.
  • Weng, F. and Hung, C. M., 2014. Competition and Challenge on Adopting Cloud ERP. International Journal of Innovation, Management and Technology. 5 (4). pp.309-313.
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