IRANIAN JOURNAL OF INFORMATION MANAGEMENT
Year:2020 | Volume:5 | Issue:2 (9)|Papers Count:12

This article is written to identify the importance and necessity of meritocracy and pay attention to the role of human resources competencies in the field of information technology in healthcare sector. This research has been done with qualitative and quantitative approach and in this research has tried to use some internationally famous models on the competencies of human resources in the field of information technology, While scrutinizing the importance of meritocracy in the field of information technology in healthcare sector, Identify key indicators of competence of senior IT managers by interviewing experts. This study for the first time developed a competency model for senior managers of information technology in the Iranian health care sector. Previous models have either ignored this domain, or are not applicable to the health sector due to its generality and outdatedness and lack of attention to specific organizational cultures and many of the criteria of competence remain hidden. The research method in this article is mixed (qualitative and quantitative) and descriptive-exploratory. The research method is also used to identify key competencies of managers using open and semi-structured interviews. Thus, by interviewing 16 experts, 42 competency indices were identified for senior IT managers in the field of health care. Then the competencies were summarized and categorized using exploratory factor analysis. These 6 groups of competencies are: (managerial, individual, health and workplace, information technology, information technology in healthcare sector, legal and political). A review of the competencies of senior IT manager revealed that most of these indicators relate to the high management knowledge and ability in the field of information technology. It is also important for senior managers to have complete knowledge of the health care sector under their control in terms of costs, revenues, budgets, staff, middle and operational managers, policies, strategies and IT rules. A review of the competencies of senior IT managers in the health sector reveals that knowledge of information systems has been emphasized to the extent of concepts, theoretical knowledge and generalities. And it definitely doesn't require high technical proficiency. Technical control, installation and configuration of the systems is the responsibility of the lower level managers.

The purpose of this study was to evaluate the knowledge management knowledge maturity with a strategy-oriented approach in Khuzestan Regional Electric Company. The research method was a sequential explanatory combination, a type of follow-up explanation and a research method in the quantitative, descriptive-survey field and in the qualitative section of Multiple Qualitative Case study. The statistical population included 48 experts and managers of this company related to the knowledge management process, because limitation of population, All of them were sellected. The research instrument was Kruger's Strategic-Oriented Knowledge Management Maturity Assessment Questionnaire. The data gathering tool was Kruger's strategy-oriented knowledge management maturity assessment questionnaire. After calculating the validity and reliability, the distribution of the research population was distributed and SPSS20 software was used to analyze the data. It should be noted that for assessing the maturity of each individual item, the strategic knowledge-based sub-sectors of the KMMs were compared with the middle-level comparison (the second quartile was equivalent to 50%). The results showed that the Company had grown from the six stages of maturity in four stages and out of 97 indexes in 34 indexes less than average, which was reported as the company's knowledge management maturity damages. The research method in the qualitative section was multiple case study. The potential contributors to this section included all the managers and experts of company. The research participants, with targeted targeting approach and the method of key reviewers based on saturation, were selected and the causes of the puberty damages of the strategy-oriented knowledge management were conducted through a semi-structured, in-depth interview, in the form of basic, The themes of the organizer and the general themes were extracted, and plotted in the form of a network of themes. In general, the lack of a clear understanding of the relationship between knowledge and strategy has been the most important cause of injury. The strategy of the company should be reviewd and knowledge management should be one of the main pillars of the organization's strategy.

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.

Currently, the most important source of valuable knowledge to know and to compete with others to manager their intellectual resources and capabilities. For this reason, many organizations have implemented extensive programs for knowledge sharing management. They must use information technology to support the acquisition, storage, retrieval, and sharing of knowledge, and create a culture of knowledge sharing among employees, and this also requires cultural change. The purpose of this study was to investigate the effect of organizational culture on computer self-efficacy and employee knowledge sharing behavior. The statistical population of the study was employees of Ahvaz social security organization, which number is 650 people. Sampled by Morgan table of 242 people using a questionnaire. The research is from the objective of the research it is an applied research and collection the research is descriptive correlational. Validity of the questionnaire was confirmed by the Academic Experts opinion (Content Validity) and its reliability was confirmed by Cronbach's alpha coefficient (0. 919). Data were analyzed using SPSS-v20 and AMOS-v24 software. The results show that rational culture has a significant effect on knowledge sharing (explicit and tacit) and computer self-efficacy. Hierarchical culture has a significant effect on tacit knowledge sharing. Group culture has a significant effect on computer self-efficacy, and computer self-efficacy has a significant effect on knowledge sharing (explicit and tacit). Impact of group culture on explicit knowledge sharing and Hierarchical culture on computer self-efficacy was not confirmed.

The purpose of this study is to investigate the impact of customer knowledge management on word of mouth, considering the mediating role of Eservice quality. This applied study used descriptive correlational methods. A questionnaire was used to measure the research variables. The statistical society is the customers of electronic retailers in Tehran. The sample size was determined according to the Cochran formula (384). The results of this study showed that the customer knowledge management affects word of mouth by mediating the quality of electronic services. Also, the dimensions of customer knowledge management (knowledge about, for and of the customer) have a positive and significant impact on the quality of electronic services. The quality of electronic services also has a positive and meaningful effect on oral advertisement. The examination of needs, criticisms, complaints and, in general, customer knowledge management is a key factor in improving the quality of electronic services and providing services tailored to customer needs. Providing services tailored to customer needs affects their perceptions of the quality of services and products. If services and products are localized and tailored to the needs of the customer, they will have great benefits for electronic retailers and customers. One of the most valuable benefits of electronic retailers is in the word of mouth. Many of the world's largest companies, including Amazon, owe their reputation to the word of mouth.

Information and Communication Technology (ICT) affects various aspects of human life, including economic growth as the most important macroeconomic variable and other aspects of human life, this study uses the meta-analysis and considers different features and patterns of economic growth studies. (ICT) as well as the specialized metrics. The data was analyzed using a six-step meta-analysis method. The initial 54 articles in the internal databases was finally limited to 17 studies after the determined exclusion criteria. Then the data was converted to common matrix and entered into STATA software and comprehensive meta-analysis software (CAM2). Then their effect size was calculated. The results showed that the effect of ICT on economic growth was significant, positive and high. It was also stronger in developed countries than in developing countries. There were also other moderating variables such as labor force, foreign investment and gross domestic capital. Therefore, ICT economic policies can be considered as a multidimensional issue and its successful implementation requires more attention.

Despite the importance of using information technology, today many organizations are experiencing problems in not meeting business needs due to the high volume of IT investment and the low level of alignment with organizational strategies and performance. On the other hand, the simultaneous investigation of the relationship between the three variables of information technology, business strategy, and organization performance has not been the focus of previous research, which led us to examine the relationship and provide a model between the alignments of information technology investment with IT. Business strategy deals with the performance of the organization AH have been applied and community solidarity survey of all employees of South Steel Company. In this survey, 26 people were selected as the sample size by the total census method. Data were collected using a questionnaire whose validity was evaluated and confirmed by Cronbach's alpha. Data analysis was performed using the Structural Equation Approach and Liesel software. Findings showed that between business strategy and IT investment strategy, between IT investment and business performance strategy, between alignment and Business structure with organizational performance and between alignment and technology investment there is a significant relationship between information and organizational performance. Therefore, if the information technology and organization strategies are defined in the same way, and the organization strategies are integrated with the information technology strategies and will improve the organizational performance.

In the current economy and entrepreneurship situation in developing countries, experts maintain that establishing startup companies proves an efficient and promising approach. In spite of the fact, many startup companies are failed. However, there are key factors, which can help such companies follow the path to success. This research aims to identify the factors, which led to success of startup companies in Iran. Accordingly, one of the important roles of data mining is exploring the relationship between datasets, and getting the result of a series of association-based rules for identifying the strong relations between business activities. The data of this study is collected from a total of 165 Iranian startup companies. The feature's columns included 41 success factors of startup companies addressed in domestic and foreign studies. For the prediction phase, we use the help of support vector machine algorithm, decision tree and k-nearest neighboring to classification. The feature selection technique in order to come up with the most efficient success factor of startup companies is Cuckoo search. Finally, rules are extracted by means of Apriori Algorithms. The results indicate that factors such as, namely, entrepreneurship experience, working duration, skills, type of service or product, target market, Blue Ocean or Red Ocean strategy, flexibility, scalability, customer loyalty, presence or lack of presence in an accelerator, and first-stage of investor are the most important factors that have the greatest effects in a startup's success. Moreover, the extracted results reveal that flexibility, and scalability are considered as two key factors contributing to success of Iranian startup companies.

In this research, aim is to provide a model for planning the cultural activities of public libraries in Iran. In this applied research, data gathering tool was a questionnaire. In this study, 29 managers and experts of the public libraries participated. For factor analysis of the data, also the determination of the number of main factors was used from three indicators: a) the special value b) the ratio of variance explained by each factor; and c) the graph of special values. The results of Delphi technique showed that among of 25 sub-components related to the Proper of planning-cultural activities of public libraries, the cumulative Percentage frequency of fourteen sub-components was more than 70% from the point of view decision makers and experts in Delphi panel. The results of exploratory factor analysis summarized the planning components into four latent factors. These four factors, which explained %65 of the total variation, are: The first extracted factor is"defining goals and identifying the problem", the second factor is"Needs Assessment". The third factor is" Develop a plan and determine appropriate outcomes", the fourth factor is "Monitoring and evaluation". the ranking model was constructed with standardized coefficients, by using the confirmatory factor analysis. According to the results of Confirmatory factor analysis. The fitted model was fairly appropriate (suitable). Value: Using planning strategies, cultural activities can be well managed. Due to the lack of a model for planning the cultural activities of public libraries, this research is important. Applying this model will help planners and managers of public libraries to make decisions about cultural activities.

Word co-occurrence analysis is one of the text-mining methods that has various applications in the information management area. One of these applications, which has been less noticeable, is exploring the shared semantic territory between different theoretical views. The importance of this application is due to the formation of recent scientific trends of various research areas based on different theories and concepts. Accordingly, the current study attempts to reveal the applicability of word co-occurrence analysis in exploring the shared semantic territory between two theoretical views. To this end, the dynamic capabilities and ambidexterity views were chosen as the case of this study. Dynamic capabilities and ambidexterity have had a notable co-occurrence in recent strategic management studies to the extent that researchers considered them as two integrable views. Accordingly, this study aims at exploring the structure of shared semantic territory between dynamic capabilities and ambidexterity. To this end, all scientific documents related to both theories, indexed in the Web of Science or Scopus databases, and dated to 2018 were retrieved. Then, the authors analysed the corpus composed of titles, abstracts, and keywords of collected documents by using the word co-occurrence analysis. By doing so, they introduced 14 main conceptual categories in the shared territory of these two views: 1) dynamic capabilities and their components, 2) ambidexterity and its components, 3) performance, 4) innovation, 5) organizational capabilities and resources, 6) sustainable competitive advantage, 7) organizational knowledge and learning, 8) environmental and organizational change, 9) technology and information technology, 10) leadership, 11) entrepreneurship, 12) collaboration networks, 13) business model, and 14) operations and supply chain. Also, according to the word temporal analysis, research trends among the conceptual categories were revealed. Based on these trends, it is expected that further studies in the shared semantic territory between dynamic capabilities and ambidexterity will probably tend to subjects in the fields of business model, operations and supply chain, or entrepreneurship.

One key factor in the formation of organizational ERP systems is the requirement of integration at the organization's internal and external levels to survive in competitive markets. These systems have gained a lot of popularity not only by increasing the pace and accuracy of registering the organizational information but also by providing a quick reporting infrastructure. Registration, storing, and recovery of integrated and reliable information throughout the organization is another feature that has affected the penetration of ERP systems in organizations. However, the argument about the high cost of purchasing and implementing such systems between financial and IT departments have always been a challenge in the way of ERP expansion; Therefore, in such a case, it seems necessary to provide evidence of the efficiency or inefficiency of them in the form of an analytical model with a predictive approach and through quantitative indicators to resolve these contradictions. It should be considered that if a clear vision, accurate and quantitative information based on the performance indicators of the organization is given to the decision-makers, the disagreement in such issues will be meaningless. Now, the question is that what tool can provide such valuable information? Predictive models depict the probable future, given the current terms and variables, so that they can solve the issue around using the ERP systems. The present study has extracted the raw, reliable, and not manipulated quantitative data from the ERP system's database and has designed a quantitative predictive analytic model by them to provide clear and accurate answers to existing questions based on quantitative performance indicators. An approach that has not been seen before.

Although Information Systems and Information technology project play an important role in countries development, there are some problems in the path of these projects implementation especially in developing countries. Therefore, it seems that identifying the IS implementation risk factors in developing countries, can be useful for project achievement and have a good impact on development process. In this research, the subject of the study is the project of establishing an automation system in developing countries, which has a key role in import and export, economy, culture and society of these countries. In light of direct observation, projects documents review and first round of interviews, by using Dependency network diagram model, the system and its implementation project were modeled and their dependencies networks were created. In the second step, we interviewed the experts in seconds round by using these models to find the risk factors of implementation project. By interviewing the experts regarding their role in DND we want to study the risk factors concerned of dependencies related to one or several roles that respondent play in IS implementation project in this program. As result of this work, 54 risk factors were identified. According to the analysis and interpretation, about 65 percent of these factors are those that have been seen in developed countries.