Competitive Challenges of E – Business Continuity in B&H- A Preliminary Empirical Assessment
Competitive Challenges of E – Business Continuity in B&H- A Preliminary Empirical Assessment

Summary/Abstract: S-curve model is one of the fundamental expressions that give generic description of technological development. Introduction of a new technology is often a big step for company and can be implemented in various ways, frequently producing negative transition gap referred as S-curve gap. Consequently, it raises costs of transition and brings the company in the situation in which the users cannot achieve the same efficiency as they could with old technology. Having this in mind, it is important for companies to determine optimal point and modus for replacing an old technology with a new one. Technology lifecycle described with S-curve can be mathematically represented with a function extrapolated from data about technology itself. That enforces the idea of mathematical modeling of this particular problem, and using this model to forecast technology growth and optimal point of introduction of the new technology. Mathematical expressions that describe S-curves are often referred as growth curves. Growth curves are using data from the past and presence to forecast the technology growth in the future. Often transformation of old information systems to new ones is followed with number of organizational and business efficiency problems. Technology transformation creates additional burden to the organization mechanics and has a serious impact on overall business dynamics. Although, all IT professional have experienced, this has not been sufficiently researched or documented. In this paper we give an overview of S-curve model, mathematical representations, using mathematical models and problems related to S-curve gap with mathematical interpretation, as well as research data on technology transformation among several top BiH companies.

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