The purpose of this paper is to develop a comprehensive maturity model for command and control. For this purpose, the inductive research method has been used to design the maturity model. Thus, firstly, the most prominent maturity models in command and control, including the conceptual maturity model, the headquarters maturity model, the NATO model, and the maturity model of integrated command and control centers (ICCCs) were analyzed. Among the studied models, the NATO model is more comprehencive, so we chose it as a basis for developing our model. Then, the stages and variables of maturity were analyzed using the focus group method. The findings of the research show that some important characteristics of the command and control maturity  have been neglected in the basic model. Therefore, the innovation of this research is to add new features to achieve a more comprehensive model. The result is a model containing 5 levels and 20 variables. Validation of the model has been done through comparative study and focus group method, which should be further strengthened by case studies and survey researches.

Digital Library (DL) development is faced with many challenges which cannot be overcome all at once. In such cases which are so complex, maturity models are utilized. In a maturity model, features of a phenomenon are classified into few levels so that improving or realizing the features of each level is the prerequisite of going to the next level. DL can also be approached by maturity model more efficient and effective. Since the maturity model for DL has not been designed yet, first, a literature review of the DL and maturity models using a qualitative approach and meta-synthesis method was done. According to the findings of the literature review, the maturity characteristics of DL are proposed to be a basis for designing DL maturity model. Since the concept of maturity and DL is extensive and has several dimensions, meta-synthesis has been found as a suitable method for comprehensive integration of the models offered in other areas with the existing literature in the field of DL based on their interpretation. To do so, 68 papers, 38 in the field of DL and 30 in the field of maturity models in various fields, were selected from the available resources. By analyzing these papers, three categories, seven concepts, and 35 codes obtained as DL maturity features. Among these findings, the focuses of previous studies have been on the use of software/ hardware systems as supporter and enabler of DL and the DL content. The found features, in addition to be a basis for designing of digital library model, can be a tool in the hands of project managers of DL for assessing the status of their projects and planning to achieve higher levels of maturity.

Today, Organizations require a suitable and effective governance maturity model of their Service-Oriented Architecture (SOA). This is required to assess current state and needs of their governance and then to provide a suitable framework for their governance. So far, the different SOA governance maturity models have been proposed to assess governance of SOA; however, considering the movement of organizations to process-oriented method in recent years, the governance maturity model based on SOA is needed to assess the maturity of the organization in terms of their governance processes. In this paper, we used the COBIT process maturity model to propose a new model for the SOA governance maturity. The new model can evaluate an organization's process maturity level. COBIT is one of the information technology governance models. Finally to evaluate the proposed model, we contrast our results against the results obtained from reviews of IT experts.

Maturity models were introduced with the advancement, development and application of technologies and are considered as management topics. Maturity models have levels that each level includes the characteristics related to that level. Using maturity models, the effectiveness and performance of the organization can be evaluated. In the present study, we reviewed articles on maturity models and models. Capability maturity is addressed with a qualitative approach and a Meta-Synthesis Method. In addition to examining maturity models in different fields and examining the dimensions of that maturity model, the ability to evaluate the performance and effectiveness of university libraries should be examined. The existing literature on maturity models is based on their translation and interpretation. Based on this, 93 valid sources in the field of maturity models and 37 sources in the field of maturity models of capability and university libraries were examined. Based on the results, the technical category and the concept of hardware and software systems have the first rank and are of higher importance. The maturity model of university libraries helps library and university administrators to determine and review the characteristics of each level and Evaluate them to plan to upgrade each level and reach the ideal level.

Nowadays organizations are compelled to use and implement digital transformation in their organization in order not to retreat from competitors in a competitive environment and to be able to respond to customers' needs. But one of the most important ambiguities in this area is the understanding of the concept of digital transformation in the organization. Digital transformation maturity model is one of the important frameworks to understand digital transformation in an organization the digital transformation model. A maturity model consists the dimensions and the phases of the digital transformation. Understanding the important dimensions and phases of maturity is important for decision makers because they can make good decisions based on understanding their organization's place in the digital transformation mature. Given that the first step in implementing the digital transformation is to evaluate digital transformation maturity, the objectives of this study are this study is to develop a maturity model for digital transformation and to determine its phases. This paper presents a comprehensive overview of different maturity models and their phases. For this purpose, the Meta-synthesis method is used to conduct this study. This method has been used to search and select appropriate articles related to the subject of research in various scientific databases on the Internet and extract the necessary information from them. A total of 228 original articles are obtained after the evaluations and finally 28 papers are selected. By analysing and interpreting the dimensions and phases of maturity models presented in previous articles, the maturity model presented in this study consists of five phases and 10 dimensions. These dimensions are as follows: Leadership, Information Technology, Employees, Operations and Processes, Culture, Organizational Structure, Innovation and Change, Strategy, Intelligent Products and Services, and Customer. Finally, the maturity level of 20 pharmaceutical companies is measured by using the maturity model presented in the current study and the results showed that most of the pharmaceutical companies include level 2 to level 3 of the maturity model.

Implementing models are one of the main categories of EC models in the literature. Implementing models in the frame of evolutionary and maturity stages, describe how to develop and apply EC in an enterprise step by step. Integrating different implementing models and based on organizational perspective, a 6-stage maturity model of EC was designed in this article. The stages of newly developed model called “Enterprise EC Maturity Model” include: (1) package; (2) access; (3) initial presence; (4) realization; (5) institutionalizations; and (6) optimization. Obviously each stage has its own indicators. The validity of the model verified and confirmed by 10 EC experts, practitioners and specialists. Interestingly the stages of enterprise EC maturity model are consistent with e-readiness of an organization and its main activities (such as export activities). Meanwhile in the early stages of the model, e-readiness of export activities is low and in the advanced stages it seems to be high. Iran excellent exporters were 36 companies, which is considered as the sample of this paper. Findings show that all surveyed companies mainly lie in the 3rd stage of the model. However several companies could acquire some indicators of 4th and 5th stages.

This research survey maturity level of performance management system in Khorasan Razavi gas corporation based on people capability maturity model. This study also is based on applied goal and on the basis of data collecting is descriptive. In determining of maturity level in performance management process area, 92 employee with using cochran formula of estimation of sample size, were selected randomly. The questionire on the basis of peaple capability maturity model was selected research tool for data gattering that reliability assess is 0.953. And collecting method for literature reviewis desk research. The result indicated that performance management process area in khorasan Razavi Gas Corporation on the basis of people capability maturity model is not optimum in second maturity level.

Nowadays, one of the reasons for the failure of companies is the low level of their innovation in them. The reason of this is, firstly, lack of maturity in the field of innovation and, secondly, lack of attention to the knowledge of customers. Considering that one of the main sources of innovation in organizations is the exploitation of customer knowledge, however, limited research has been done on the ability to innovate based on customer knowledge. The main objective of this research is identify the components of customer knowledge based on innovation and provide them in the form of levels of capabilities maturity model.All researches on the innovation maturity model and customer knowledge were investigated by meta-synthesis method and 16 articles were selected. Based on the content analysis of the related articles, a set of dimensions and components innovation capability based on customer knowledge was identified and the innovation capability maturity model based on customer knowledge consist of 33 codes, 13 concepts and 5 main categories in five levels of maturity was presented.

This research evaluates performance management system in Khorasan Razavi gas corporation based on people capability maturity model. This research also is based on applied goal and on the basis of data collecting is descriptive. This study conducted in order to determine maturity level in performance management process area, so, using formula of estimation of sample size, 92 employee were selected randomly. The research tool for data gathering was questionire that reliability assess is 0.953. The result indicated performance management process area on the basis of people capability maturity model is not optimum and Implementation Practices and Institutionalication Practices must establish in this corporation.

Performance-based budgeting (PBB) aims to allocate public budget resources to organizations based on their performance. Consequently, the necessity of evaluating entities' performance in implementing and executing a performance-based budgeting system has spurred some researchers to expound PBB maturity models, while others have concentrated on designing models to gauge its maturity level. In this investigation, mindful of the developed model of performance-based budgeting in Iran, endeavors have been made to fashion a data envelopment analysis (DEA) model in harmony with the conceptual framework of PBB maturity. Considerations such as the network structure of the PBB maturity model, quantitative-qualitative data, and the hierarchical structure of indicators and sub-indicators within the PBB maturity model should be factored into the design of the mathematical model. Consequently, the primary aim of this article is to devise a two-stage-multilayer fuzzy network data envelopment analysis model that encompasses all three of these considerations and delineates the level of budgetary maturity based on performance for various entities. The outcomes indicate that taking into account the uncertainty present in the data and adjusting levels in optimistic, pessimistic, and moderate, while bolstering the discriminative power of the model, will furnish decision-makers with more precise information.