فرایند

Organizational transformation has been a specialized subject of study by management researchers for more than three decades, various general, specific and thematic models have been developed for it. The aim of this research is design a model to increase the probability of organizational transformation success by considering the role of the innovation ecosystem as factor of organizational transformation success or failure and, in other words, the organization's locking into its innovation ecosystem, considering the analysis of actors, conflicts of interest, and power relations in the ecosystem. For this purpose, a comprehensive organizational transformation model was selected by meta-synthesis of eighty common models and based on the opinions of experts in the complex innovation ecosystem. After evaluating the causes of failure of industrial organization transformation programs in the past and modifying the model to eliminate failure points, the effects of the ecosystem on the model were extracted and finally the requirements related to the ecosystem were applied to the base model. This research is descriptive-evaluative and developmental and was conducted with the strategy of surveying the opinions of experts in the target ecosystem. Qualitative data analysis of the research was conducted with content analysis. Finally, an eight-step organizational transformation model with 55 sub-activities and 5 basic activities has been designed. According to the experts' point of view, to reduce the possibility of organizational transformation failure, the importance of the steps has been determined, and in some cases, parallelization of activities has been used to overcome the disadvantages of common transformation models.

To improve the operation level of the companies tailored to industry 4.0, is necessary to determine logistics automation. For this, the first step is the measuring of the evolution stage. For measuring the evolution of the logistics system automation, the processes and components of the logistics system, maturity stages should be determine. The purpose of this paper is to determine the level of automation in the Iranian assembly industry. The research method is descriptive and Data gathering is survey method. The statistical population consisted of the logistics experts group to determine the processes and their levels and limits and also managers in the industry to provide information about the status of logistics processes and component. By utilizing interviews with logistics experts identified four process and ten components. Using the factor analysis, measuring indicators has determined and mean of them were calculated. Evolution of logistics automation was measured by compensation method. Results show that the level of automation in SAIPA Company is higher than other companies. Logistics information system and order planning components have higher stages and transportation have lower stages in all company.

The virtual space, as a product of information technology, has led to the migration of a significant portion of crimes from the physical realm to the virtual realm. The scope and impact of virtual crimes are much broader and deeper than physical crimes. Therefore, the Command Headquarters of Law Enforcement Forces of the Islamic Republic of Iran, as a technology-oriented organization, needs to move towards becoming an intelligent organization, specifically smart police, and achieving this goal without a suitable model and strategy is challenging. Accordingly, the aim of this research is to design the Smart Police model in the Command Headquarters of Law Enforcement Forces of the Islamic Republic of Iran. This study is applied research and qualitatively based in terms of methodology. The research population consists of experts in the field of information technology and management within and outside the organization. Using purposive sampling and based on theoretical saturation principle, 18 individuals were selected as the sample, and semi-structured interviews were conducted with them. Content analysis was used to analyze the data. By implementing the interviews and coding the participants' responses, the researchers focused on explaining the concepts and dimensions. Through content analysis of the interviews, 61 indicators and 17 sub-concepts (components) were obtained, which ultimately fell into four main dimensions ("employees," "process," "technology," and "structure"). The realization of the Smart Police model depends on strategic planning for the four dimensions of "employees," "process," "technology," and "structure," along with the 17 components and 61 indicators. The employment and coordination of these dimensions, components, and indicators play a fundamental role in achieving the Smart Police model.

Today, the issue of training in organizations is of particular importance. Faraja organization is no exception to this rule and seeks to develop the required training. The purpose of the current research is the formation process of the development of physical education in Faraja with the interpretive structural modeling approach of ISM.

The research method is qualitative based on soft analysis technique and ISM interpretive structural modeling approach. The population and the statistical sample of the research include 15 people from Naja sports experts and university faculty members who were selected by purposive sampling. The data collection tool is a 2x2 matrix. First, the components were identified based on interviews with 15 experts. Then, their opinions were used to build and validate the model through a paired comparison questionnaire. In this research, the ISM method was used to analyze the data.

The budget and financial factor was placed in the independent cluster, which means that these variables have high influence and low importance.. These variables have a high degree of penetration and a high degree of dependence. In this regard, it can be said that the key or influential variables in the development of physical education are the four budget and financial indicators, facilities and equipment, human factors and management factors.

. Identifying these variables as key variables in the development process of Faraja physical education helps the institutions and the trustees to be prioritized for development and improvement.

In recent years, the development of information and communication technology infrastructures, has equipped banks with online information and communication resources and led them from traditional space to a banking platform based on centralized and multi-branch infrastructures. Relying on promotion of technology and data orientation, social banking has provided a new space to the country's banking industry. Adopting a digital transformation approach, the current research is to identify factors affecting the innovation process of social banking.

 THEORETICAL FRAMEWORK:

According to research institutes, digital innovations in the banking industry have created various opportunities and threats for banks. These institutions introduce digital transformation as a double-edged sword, one side of which will increase the bank's profitability by creating a competitive advantage and reducing costs. On the other hand, with the empowerment of competitors and the pressure to reduce the profit margin and increase some operational risks, it may lead to a decrease in profitability. In the path of digital transformation and implementation plans, it is necessary to be realistic and then proceed to develop a strategy and carry out the necessary activities. One of the major challenges of digital transformation is that we cannot reach the highest level of digital maturity at once and should go through a series of intermediate steps. In the field of fintech digital transformation, open banking and mobile technology are of great importance and are considered as the main drivers of the development and realization of digital transformation.

In this research, fuzzy Delphi method has identified and prioritized the factors affecting innovation process in social banking with an approach to digital transformation. This was accomplished based on 377 questionnaires. To analyze the data and to check the research model fitness, structural equation modeling was conducted in Amos software. The opinion of industry experts confirmed the validity of the questionnaire, and its reliability was confirmed by Cronbach's alpha coefficients of greater than 0.7.

The results showed that 36 out of 43 indicators affect the innovation process of social banking in the form of six distinct factors. Based on obtained results with a digital transformation approach, the key affecting factors were as follows respectively (in terms of their effect size): digital transformation infrastructure, laws and policies, innovative approach, banking industry structure, security, and social factors.

CONCLUSIONS & SUGGESTIONS:

Digital transformation infrastructure: Developing countries such as Iran must take the necessary local measures to implement the appropriate technical infrastructure for electronic commerce. For the successful implementation of digital transformation, banks need strong infrastructures to support data. Laws and policies: Regarding digital transformations, legislators and upper bodies can implement and facilitate the process of digital transformation by formulating laws in the field of entrepreneurship.Innovative approach: The digital economy creates unique opportunities for entrepreneurs who have an innovative approach to the environment and new entrepreneurial activities. Banking industry structure: Customers prefer personalized services. Banks, to be successful, should switch to platforms that can offer a variety of capabilities to a larger ecosystem of specialized providers. Security: Electronic banking, like any other Internet-based service, is one of the favorite fields for cybercriminals. Maintaining information security is one of the important topics of electronic commerce and banking. Social factors: Digital banking allows customers to take advantage of IT benefits when using their banking processes that increase their intention to use onlinbanking.Based on research results, the following practical suggestions are presented to the banking industry managers and practitioners: Government institutions and legislators are suggested to formulate and implement new laws and regulations for the effective use of technology in this industry. Banks should identify and exploit the opportunities existing in the environment by creating a strong expert group. Banks should utilize powerful support systems to protect information and customers. Banks should change their organizational structure for deploying new technology. Banks should empower their employees by exploiting up-to-date knowledge based on information technology. Managers should digitize the banks' environment and climate to internalize digital procedures in employees' habits and behaviors.

Soft OR from pluralist paradigm has effective approaches to structure and improve problem situations with different stakeholders’ worldviews and conflict of interests. The approaches, structure and improve messy situations. In this study, we used Soft System Methodology (SSM) as a popular soft approach at two levels. First, we applied Soft System Methodology process (SSMp) to plan the systemic intervention process in the employee promotion System of an oil and gas company. Then, Soft System Methodology content (SSMc) was used to investigate the content of the company's employee promotion system that caused employees’ dissatisfaction. By considering managers’ and employees’ worldviews, three root definitions were made. At this phase, fair condition to present different points of view was applied. So, employees with different organizational power levels expressed their opinions openly. Finally, stakeholders’ participation through the discussion helped to build an agreed model and a root definition, and agreed actions for addressing defects of the employee promotion system were proposed.

‎“Process pathology of the Iranian tax system” is the main purpose of this research. This ‎research has been done based on mixed method. In this regard, the problems of the tax ‎system processes were identified through interviews with owners of process and have been ‎categorized based on theme analysis. Since the general problems of the tax system, can ‎lead to some process problems or prevent their correction, in the next steps the general ‎problems of the tax system of Iran have been identified and categorized based on content ‎analysis . In the quantitative stage, all of these general problems were prepared in the form ‎of a questionnaire and presented to the experts of the Iranian National Tax Administration ‎to determine which of these general problems have significant impact on the processes. ‎Process owners and the employees of the Tehran and Alborz Iranian National Tax ‎Administration who are familiar with the tax processes are the society of this research. In ‎general, the results of this study indicate that the processes of Iranian National Tax ‎Administration have been faced with several problems, many of them stem from the ‎external factors, and to achieve the desired result, it is necessary to make fundamental and ‎long-term political, economic, social, cultural and intra-organizational changes.‎

The successful organization is an organization that consisting of human resources with organizational culture, ideas and common goals that share their experiences and knowledge with the organization. Under these conditions, any process that enhances the capability of human resources is a capital-intensive process, the result of which is directly reflected in the quality and quantity of services. The purpose of this study is to find ways to increase the empowerment of employees with a spiritual approach to achieve organizational goals and to explain the scientific and practical framework for the development of employee empowerment based on spirituality. The present study that was done in one of the organizations affiliated with the Armed Forces, is applied in terms of purpose and descriptive-correlational research in terms of data collection. 70 questionnaires were collected and analyzed by integer method. Findings showed that Model inputs have a positive and significant effect on the process by 83%. The process has a 87% positive and significant effect on the outputs.Also, according to the results of determination coefficient (R2), processes predict 68% of inputs. Outputs also predict 75% of input and process. The results of research on spiritual empowerment indicate that the development of abilities has the greatest effect on spiritual empowerment and then on cognitive and intellectual empowerment.

The complexity and extent of sustainable development concept calls for the capability to apply planning tools to introduce optimal relationship among all aspects of development and to materialize all principles of sustainability. Related literature and sustainable development processes in some countries, as well as 30 companies affiliated to the Iranian Oil Industry, which were all practicing sustainable development approach, were studied to reach a model for sustainable development. Results show that the outcomes of the six main steps or processes (starting with the stage of planning, stakeholders’ participation, preparing planning draft, formulating the vision, preparing outcomes framework, and planning for implementation), as well as fourteen secondary steps and processes (creating the core of planning, preparing the schedule, preparing instructions, assigning planning stakeholders, identifying problems on the basis of geographical regions, identifying problems related to sustainable development, assigning sustainable development stakeholders, identifying problem solving resources, formulating the vision, setting objectives, determining outcomes, formulating indexes, determining implementation resources, and designating responsibilities) are at a favorable level. However, only the two secondary processes of formulating indexes and designating administrative responsibilities need improvement.

The allocation perspective, recognize opportunities is true, that there are both supply and demand sides. But resources are not allocated efficiently, allocate resources for optimal consumer means that revenue be allocated to consumption, And people are able to buy goods and services of the highest value. Individual measures a wide entrepreneurship and important impact in industries, markets and the overall economy. This can be attributed to the simple operation of an opportunity in a particular local market, Or is a radical innovation that creates an overall industry or eliminate it. This can lead to a Commercialization, satisfaction with the market and create high-value jobs. Benefits derived from the importance of these issues can be considered an entrepreneur and change phenomena and identify profitable opportunities. Nowadays, the globalization of business and its role in recognizing and exploiting the opportunities of the important issues. The process of globalization has been divided into two phases. Opportunity identification phase and subsequently exploit the opportunity. In this study has been reviewed by scholars in the field and try to explain the concept further opportunities in different aspects.
 

Innovation is a key factor in creating competition that drives the growth of the organization and is like a development engine that allows organizations to be more efficient. Contrary to the traditional approach, which believes that innovation is created in a non-systematic and unorganized way, the innovation system approach introduces innovation as the result of tools and methods within a system. Today, information technology is a new tool and strategy that under the control of the innovation system can have a tremendous impact on the process of improving productivity in organizations. In fact, information technology is the engine that increasingly drives innovation and can increase the value of products and services through innovative methods. In this paper, the three main approaches of innovative IT management are reviewed and a model is introduced for each approach. These approaches cover three areas: service delivery model, integration with processes, and organizational structure. Understanding how to use information technology in organizations to implement innovative methods and take advantage of innovation can be very useful for organization managers.

The purpose of this study was to identify knowledge Intensive Business Services of Qom Water and Wastewater Company. In this Delphi study, after reviewing previous research and examining the upstream documentation and infrastructure at ABFA, the areas of knowledge associated with a description of business services were identified. The results of data analysis showed that the areas of knowledge creation, upgrading and development of water and wastewater facilities, center of supervision, operation and maintenance of facilities, sales and customer service to be considered as a top priority and supply and support management, human resources management, management Financing, partner relationship management, developing management systems for review were the second priority. The processes and knowledge activities of each field were also identified and presented in separate business services.

Competitive advantage has always been a topic of discussion. Nowadays creating unique customer experience (CE) is the source for such advantages. The objective of this research is to propose an end-to-end CEM model to ensure sustainable competitive advantage. Reviewed models lack such comprehensiveness. 

More than 30 books, 48 research papers, 15 internet papers and 25 CE models were scrutinized as related references out of more than 150 references. 

Theme analysis was applied. Resources were chosen in these topics: importance of CE, the process of CE formation, CE constructs, methods of CE measurement and CE assessment. Then, basic, organizing and global themes were extracted. Theme network and existing models’ typology analysis, in addition to RADAR logic and BSC tool, were adopted to draft the two-layered conceptual model, called “CEEM”. 

Conclution:

 The proposed model, in contarary to the existing ones, includes the complete cycle of CE prerequsites/enablers, the main process, and expected results. Additionally, to ensure sustainable success, learning, innovation and assessment are embedded during whole process lifecycle and are not merely limited to the results. The other findings include the outside-in design approach, digitalization of customer journey, and simultaneous qulatitave and quantitative assessment of the whole process.

Nowadays, the organizations will be successful and victorious to the changes and developments that can improve and develop their intangible capitals and knowledge to affect the other organizational variables such as effectiveness. For this purpose, the present research aims to study the effect of execution of knowledge management on the improvement of organizational performance that was applied in Shir-e-Pegah Company. The population of this study also consisted of all personnel of Shir-e-Pegah Co., from expert to higher levels, total of 350 persons and the sample size based on Cochrane formula is 184 persons. The samples were selected out of population for implementation of questionnaire based on simple random sampling, and the questionnaires were distributed. The instrument used in this study included the standard questionnaires of knowledge management execution and organizational performance of Zayed (2012) that has been designed based on theoretical model of Bhatti et al (2011). Knowledge management execution questionnaire has 24 items and organizational performance has 6 items based on 5-point Likert spectrum, that assess the variables such as culture, intellectual capital, processes, knowledge management strategy and organizational performance. The results of simple linear regression analysis test showed that the general element of knowledge management and also 4 elements of knowledge management significantly predict the variance of dependent variable of organizational performance and out of these elements, knowledge management has obtained the highest regression coefficient

Business process improvement for promoting product quality has continuous importance in every industry. Every organization should measure, control and analyze its performance. Therefore, the assessment and management of performance is considered as an important strategic process which is affected by various environmental and organizational factors. Management and performance assessment have been considered as critical tools to manage an organization and in order to survive and develop in a competitive environment, organizations require their own assessment and management performance system. Various performance measurement models have been designed and elaborated from the past to the present and each one has specific features. Regarding environmental complexities and competitive environments, it is necessary to design a process performance measurement model with new smart technological features for organizational needs. THEORETICAL FRAMEWORK:
Different methodologies and models have been provided in the management literature for the management of performance processes. Performance management can focus on the performance of an organization, a department, process and employee. In this research, based on the literature review, the interaction effect of process performance measurement model, intelligence agents, and process model were investigated. In this article, theoretical basis are examined in three categories (i.e., performance measurement model, intelligence agents, and process model). In terms of performance measurement model, some models from past to present were considered. In this group, more than thirty different models were studied. Regarding intelligence agents, their features and functions were considered. Intelligence agent’s technology has been used in various fields such as manufacturing, process control, communications, transportation systems, SCM, knowledge management, etc. The feature and characteristics of an agent depend on application and its target. Accordingly, some of their common features are as follows: Autonomy, mobility, adaptability, collaborate with others, and reliability. Moreover, in the category of process model, the most important and relevant process model was considered. In this group, process reference model and frameworks as APQC, Value Chain, SCOR, 6Sigma and others were studied. In this research, based on the literature review, the interaction effect of process performance measurement and intelligence agent were studied, and agent-based modeling in process performance measurement was presented. In this article, data was gathered from literature review and some documents. Experts’ opinions have also been used to design and evaluate the model. In addition, to obtain the opinion of experts, the Delphi method was used in two panels. Interviews with experts were used in order to elicit general organization knowledge and to acquire tacit knowledge related to design of model. Then, in order to design the agent-based model, RUP and UML techniques were used. RESULTS and DISCUSSION: In this paper, based on the literature review and experts opinions, the design of agent-based modeling in process performance measurement was presented. The model designed has three layers; the first layer has five steps (i.e., define, measurement, analysis, improvement and control); the second layer includes intelligence agents and the last layer consists of databases and a process model. Agent-based architecture has been considered in the presented model and some agents were defined in this model as definer, reporter, recommender, processer and observer. In this research RUP and UML techniques were used for architecture of agents. In addition, experts were asked to evaluate the model with Delphi methodology in two panels. CONCLUSIONS and SUGGESTIONS: The research findings are in harmony with the aim of the research proposing an agent based conceptual model of process performance measurement with specified and categorized results. This model was designed in three layers, the first layer has five steps, and each step involves specified activities and is related to certain agents. The second layer includes some agents and the last layer consists of databases and reports. In this research, in order to design the optimal agent-based modeling, we tried to use the RUP method and language of UML modeling; hence, the results shown as user diagrams, activity charts, and class diagrams are all related to the agents. A future study would also aim to develop an agent-based modeling in performance measurement systems, and implement the agent-based model for pilot studies in organizations. It is hoped that the findings of this research suggest an adequate level of interest in both process performance and business intelligence in the field of agents, and encourage further investigation to address process performance using intelligence agent techniques, as discussed in this paper.

The ultimate goal of any improvements that provide higher quality product or service is customer. The most common methodology, Six Sigma and Lean Six Sigma methodology is DMAIC. This methodology based on five phases: defining the problem, measure, analyze, improve and control is defined. In the meantime one of the most important phases, phase analysis because in this phase of the root causes of potential due to its effects on the quality of critical factors are identified and defined. The purpose of this study is to assess the impact of process variables on the length of time in Lean Six Sigma methodology using fuzzy regression model was. The results of the study showed that all five variables known to influence the length of time to process. The results also showed that three variables: inadequate staff skills, and lack of necessary equipment, tools, and equipment breakdowns and tools necessary to have the greatest impact on the independent variable Also among these three variables inadequate staff skills, influential independent variable on the dependent variable. According to the research data and the number of variables, fuzzy regression model detailed and correct analysis of the impact of independent variables on the dependent variable was provided.

The purpose of this article is designing excellence management model in the Cement industry using human capital approach. It is a practical research using Exploratory mixed method (Cross-sectional survey and Delphi by type of study). The population of this research is all Specialists and experts in the field of cement industry that are 1000 persons and 255 samples selected by using simple random sampling method and Table Bula to respond 216 researcher-made indices. Also 80 educated and experienced people in the Cement industry with managerial insight were selected to investigate their opinion, dimensions, components and indicators using confirmatory factor analysis. The construct validity and Cronbach's alpha obtained (78 percent) indicates the validity and reliability of the questionnaire. Exploratory factor analysis indicates 4 dimensions (Data, process, output and feedback) and 12 components that explained 72. 45 percent of variance. Also Confirmatory factor analysis indicated that the model was a good fit and confirmed dimensions and components of human capital management model with human capital approach. In qualitative section, dimensions, components and criteria of excellence management model confirmed by delphi (with three posts) and Brainstorming among 30 experts in this field (focus ring) too.

The aim of this study was to determine the status of talent- based development process in the human resources department of Saipa automobile manufacturing company. In terms of purpose this study is an applied research, and research evaluation for data collection. Statistical society was staff of Saipa Company’s human resources department to 260 people using the random sampling method, 155 of them were selected and questioned. A researcher-made questionnaire consisted of 20 closed questions was used to collect data. The validity of this was reviewed and approved by using view point of university professors and its reliability was calculated 94/5% by using Cronbach's alpha. After gathering and summarizing data, were used descriptive and inferential statistics to analyze and interpret the research questions. The results showed that from the organization's employees point of views the situation of talent based development process is in a favorable level. Moreover, the results indicate a significant gap between the current situation and the desired situation in all components of talent based development process. Solutions for lowering this gap were suggested.