Escala de mensuração de ambiguidade em regras de negócios implementadas por meio de sistemas de informação

Abstract

Business Rules are statements that must be assertive and represent, in an intelligible way, the concepts, preconditions and restrictions present in organizational processes. The process of developing a Business Rule consists of stages, among which are the logical conception and semantics. Therefore, it is necessary to avoid errors in the interpretation of the Business Rules that will be implemented through Information Systems and one of the factors that can cause these errors of interpretation is Ambiguity. This Ambiguity is understood as a duplication of meanings that may be contained in the communication that occurs between the individuals involved. However, measuring Ambiguity can help mitigate the negative effects throughout the formulation of Business Rules. The search in the academic literature did not identify a validated scale to measure Ambiguity in Business Rules, which can be implemented through the application of Information Systems, and which provides data with greater statistical significance. To assist in achieving this assertiveness, this study aims to develop and validate a scale for measuring Ambiguities in Business Rules that can be used in implementations carried out through Information Systems. The research methods used will be data collection, a model for developing measurement scales, and the use of statistical methods. A scale for measuring ambiguity in business rules implemented by information systems was developed and validated. The validation was performed in the field with 285 experts in IT systems analysis and development, and both factor analysis and reliability analysis were applied using Cronbach's alpha coefficient, which indicated values with significant statistical significance. With these results, this research proved that the application of the 26 items that make up the scale, if used in organizations, will result in more assertive business rules. This research contributes to academia due to the field and statistical studies carried out in the search for reliable business rules that can be replicated in other correlated research. Regarding the contribution to the market, the developed scale allows IT professionals to obtain better results in the implementation of business rules, avoiding uncertainties and conflicts of interpretation.