The main purpose of this research is the development of a success model of Knowledge Sharing 2. 0 (social knowledge sharing) through organizations. A three-step strategy is used in this research as stated below: In the first step، identification of social software and extraction of factors effective on success of each for knowledge sharing were obtained from literature review. Execution of Delphi method and identification of critical factors were done in the second step. At last، in the third step، a success model was developed based on the obtained results. According to the results obtained from this study، the most important social software in order of their importance for knowledge sharing along with the most significant success factor of each in knowledge sharing are known to be: social network software (the most important critical success factor: active presence of experts and influential individuals in the desired field of knowledge in the social network)، weblog software (the most important critical success factor: quality of existing information in the weblog)، wiki software (the most important critical success factor: wiki configuration based on key fields of knowledge in organization)، podcast software (the most important critical success factor: extent of applicability and practicality of the podcast contents)، mashup software (the most important critical success factor: quality of information from mashup sources)، tag software (the most important critical success factor: regular and intelligent updating) and RSS software (the most important critical success factor: continuous updating-7×24). Based on the information available for the researchers، originality and innovation of the current work stem from two viewpoints: first، development of the critical success factors of the social software for knowledge sharing and second، development of the success model of Knowledge Sharing 2. 0. The proposed model can be used as an appropriate tool for evaluation of success، assessment of status، prediction and related pathologies in connection with establishment of Knowledge Sharing 2. 0 in organizations.

Successful implementation of knowledge management applications requires recognition of success factors of knowledge management projects. Hence, the purpose of this paper is to examine the critical success factors of knowledge management in libraries of Ferdowsi University of Mashhad and Shahid Chamran University of Ahvaz. This is an applied research and the research method is Survey. For collecting data a questionnaires based on (Hung et al., 2005) models is used. This questionnaire divides the critical success factors of knowledge management in ten dimensions. findings show, among the ten dimensions of critical success factors of knowledge management, manager support is the lowest average and the education is the most average. Finding also showed differences only between the knowledge-based performance measurement dimensions in libraries of Ferdowsi University and Shahid Chamran University. in the Knowledge management programs, success factors are the necessary activities that help successfully implement of knowledge management. These factors in the organization should be created, nurtured and developed.

The main objective of this research is to rank the critical success factors of knowledge management using fuzzy quality function deployment (QFD) approach in MECO Company. The research has utilized a three-step qualitative-quantitative-qualitative strategy. At the first step (1st qualitative phase)، the critical success factors of knowledge management and knowledge management outcomes were characterized in MECO. Then، the critical success factors of knowledge management which were identified by the first step were ranked using fuzzy quality function deployment in the second step (quantitative phase). Afterwards، some solutions were provided to realize and improve the critical success factors of knowledge management in the selected company within the third step of research (2nd qualitative phase). 11 critical success factors of knowledge management were introduced in addition to 4 knowledge management outcomes by the first qualitative phase. The result from the quantitative phase were indicative of the fact that “human resource management”، “support and leadership of management”، “organizational infrastructure”، “organizational culture” and “activities and processes” are known as five critical success factors of knowledge management in the chosen company. Furthermore، 23 solutions provided by this research in order to realize and improve the critical success factors of knowledge management in this company are achieved as a result of implementing the second qualitative phase. Based on the information accessible for the researchers، this is one of the first works which evaluates the key factors of successful knowledge management through fuzzy quality function deployment approach. It is expected that the proposed method would represent appropriate tools for enterprises which have decided to implement knowledge management because it prioritizes the critical success factors based on the knowledge management outcomes.

In recent years, industries worldwide have been striving to adopt a groundbreaking accomplishment of the fourth industrial revolution known as smart manufacturing. This advanced manufacturing system is based on Industry 4.0 technologies to improve systems' reliability, efficiency, and productivity. To have the highest level of performance and success, organizations need to pay constant attention to some variables and conditions, which are called Critical Success Factors (CSFs). Critical Success Factors play a significant role in all projects. Implementing smart manufacturing requires the identification of Critical Success Factors to be implemented effectively. Managers need to know the relationship between components of technology and the critical success factors, as well as the stakeholders who are involved or exert influence over these components. Therefore, the purpose of this study is to collect the Critical Success Factors of smart manufacturing implementation and also to determine the Critical Success Factors' relationship with components of technology and stakeholders of organizations, based on the extant research.
Collecting all the Critical Success Factors will be possible through a comprehensive and systematic literature review. In a systematic literature review, in addition to answering research questions, gaps in a field can be identified and introduced to researchers. To conduct a systematic literature review in this study, keywords were first selected based on the research objectives and questions. Then, articles were collected by searching selected databases. After collecting the articles, relevant articles were identified according to the selected criteria. Finally, the research questions were answered by using the selected related articles. In addition to answering the research questions, the citation analysis of the selected articles was also done.
In this study, 62 relevant research studies were identified. Through the examination of the selected research, 22 critical success factors were recognized. These factors were further classified into the domains of Technology- Organization Environment (TOE Model). By conducting a thorough analysis of the content in the selected studies, the interconnections between the critical success factors, stakeholders, and components of technology were thoroughly investigated.
The findings of this study can provide valuable assistance to researchers in gaining insights into existing gaps and addressing them appropriately. Moreover, the research outcomes can prove beneficial to managers as they endeavor to implement intelligent production methods. By effectively harnessing the identified critical success factors, managers can ensure that their endeavors are impactful and successful. This study offers a comprehensive understanding of the crucial factors that contribute to success in the chosen domain. It serves as a guide for future research endeavors and provides actionable insights for practitioners aiming to optimize their strategies. The study underscores the importance of considering stakeholder engagement and technological aspects in conjunction with organizational structures

Investigating the Key Success Factors is a crucial step in developing innovation strategy and planning technological innovation in Unmanned Aerial Vehicle industry. Current study alongside investigating the reasons for innovation success, searches the requirements for formation of Sectorial Innovation Systems based on Malreba innovation model. Following the reviews on innovation literature and extracting key success factors in innovation, the key success factors related to Unmanned Aerial Vehicle (UAV) industry
were recognized through interviews with UAV industry experts. Then the authors have determined the importance and priorities of factors by statistical analysis of a data gathered through questionnaires which were distributed to elites and experts of the industry. The findings show that establishment of a cooperation and communication network among manufacturers, suppliers and clients and users; a clear and precise definition of innovation projects by clients; precise allocation of financial resources to the project based on
project value by the government are UAV industry key success factor which are ranked respectively.

Technology transfer helps create innovation and manufacture new products in developing countries, and the identification of major success factors in technology transfer could help obtain competitive advantages. The present study mainly aims to develop the main success factors in technology transfer in the oil industry of Iran. This study is applied research and adopts a descriptive-correlational methodology. The statistical population consisted of 149 oil industry experts at National Iranian Oil Company and its subsidiary companies. The sample size was found to be 107 based on Cochran’s formula, and the respondents were selected through random sampling to respond to the validated questionnaires. The main success factors in technology transfer in the oil industry were identified and confirmed by reviewing the literature and implementing exploratory and confirmatory factor analyses. A total of eleven factors were identified, including technology owner characteristics, strategic factors, technology characteristics, political factors, economic factors, management factors, sociocultural factors, human resources, legal factors, infrastructures, and environmental factors, of which technology owner characteristics, strategic factors, technology characteristics, management factors, sociocultural factors, human resources, and environmental factors were the main technology transfer success factors in the oil industry.

Knowledge Management is introduced as the most important task of organizations to manage and use this vital source and also as an approach to operate and develop intangible assets.Successful implementation of Knowledge Management in organizations requires providing special intellectual, ingenuity and scientific contexts. In most studies that have examined critical success factors of knowledge management, some general factors as key success factors of Knowledge Management are presented. However, each organization has its key factors.This research, in terms of classification based on objective, is an applied research and in terms of classification based on time, place and approach is a survey research. This aims to identify and assess the key success factors of knowledge management in the aviation industry.The results showed that six factors are the critical success factors in the implementation of knowledge management in investigated research: staff Empowerment, knowledge structure, supportive culture, involvement of employees, infrastructure of information systems, and standards.

This study aims to analyze and identify critical success factors of Total Quality Management (TQM) for evaluating organizational performance using a framework based on the Knowledge Management (KM) approach. Initially, the study determines the success factors of TQM and KM by reviewing research history, and then assesses the significance and performance of each factor through questionnaires. Data mining algorithms are used to cluster the factors, and a Data Envelopment Analysis (DEA) model is employed to evaluate the organizational performance by considering the success factors of KM as inputs and success factors of TQM as outputs. The Return-to-Scale (RTS) variable model is used to calculate the performance indicator for the organization. The study reveals that, while KM and TQM have some differences rooted in their distinct focus, they also have many similarities that can complement each other if properly planned.

This study aimed to identify key success factors involved in running tax systems and to explore their importance and realization in the Iranian National Tax Administration (INTA) as a case study. First, based on the existing experience and knowledge, success factors in tax systems were extracted and, a total of 26 factors were identified in the following areas: (1) tax laws, regulations and tax processes (2) the organization and human resources, (3) taxpayers and stakeholders, and (4) Information and communication technology (ICT). Then, a questionnaire was filled out by senior headquarters’ and operational directors of INTA to measure "significance" and "performance" of each indicator. In the next stage, the significance and performance matrix of the key success factors was drawn for INTA and two areas with “high importance and low performance”, and “low importance and high performance” were identified respectively. INTA’s key success factors, based on the findings, are as follows: creation of a database of taxpayers, obtaining data from third parties on the business activities, the use of a powerful IT infrastructure, the establishment of electronic methods of engagement/ communication with taxpayers, obtaining required data on taxpayers’ performance, utilization of comprehensive system for internal processes management and specialized training of human resources.

The purpose of this study is pathology of talent management in the automotive industry, so we identify Challenges and barriers, as well as success factors in this filed. This research is a kind of qualitative study that has been done by coding methodology of qualitative data. We used semi-structured interview to collect data. After collecting data and coding, data are divided into two groups of “barriers and challenges” and “success factors” that summarized into definite sets and certain concepts. In studying relations between concepts and categories related to barriers and challenges, 31 concepts were extracted and divided into 4 categories under the titles of structural, environmental, behavioral and managerial challenges and barrier. In studying relations between concepts and categories related to success factors, 20 concepts were extracted and divided into 3 categories under the titles of structural, environmental, and managerial success factors.