آیا مدل های بلوغ مرحله ای منجر به بهبود فرآیند مستمر سازمان می شود؟ بینش از کارکنان
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|92311||2017||32 صفحه PDF||سفارش دهید|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Computer Standards & Interfaces, Volume 52, May 2017, Pages 25-40
During the last two decades, staged models have been successfully used by software organizations for process improvement. However, the relationship between these models and organization-wide continuous process improvement has not been studied extensively. This study questions the continuity, extent and participation characteristics of software process improvement by analyzing the software process improvement activities and employee perceptions within two different software companies that has CMMI level-3 certification. In order to perform this analysis a multiple case study in two phases were performed. In the first phase the process improvement suggestions submitted by the employees are analyzed from three aspects, namely the submitter, timing, and content characteristics. In the second phase, the employeesâ perception regarding the organization-wide continuous process improvement activities are analyzed by performing a factor analysis on questionnaire results obtained from the employees. The results of the multiple-case study show that there are shortcomings with respect to organization-wide continuous process improvement. It is seen that the software process improvement activities are not performed in a continuous manner. In addition, the contribution of employees to these activities and their perspectives of process improvement are highly dependent on their role within the organization. Based on these findings, it is concluded that staged maturity models fail to enable organization-wide continuous process improvement. Organizations employing these models display a case of process-wise oligarchy where a minority manages the processes for a majority who use them. We believe that these findings should generate the incentive to more deeply analyze these shortcomings and determine improvement opportunities for staged models.