Search results

The growing complexity and pace of industrial technological changes are forcing firms to forge new alliances and to respond more efficiently to the market changes. This process is leading some companies toward more strategic joint integration with others. The development of new engineering‐based products is one of the key factors in both corporate and national success. The importance of the new product development process to corporate success is now firmly recognized. It is reflected in continuing interest so as to how this process might be most effectively and efficiently “managed.” This paper aims to investigate this issue.

The methodology of research is soft system methodology (SSM) and statistical. This paper, first, reviews the role of innovation, relationship between time/cost of production, effective factors of product efficiency. Then, using SSM, the authors introduces an integrated network model innovation based on internal and external organizational elements when it applies to the research and development complex environment of engineering‐based new product development programs.

While previous attempts in modelizing the process of innovation was not adequate in view of the increasing complexity, changing conditions are now influencing the innovation process.

The paper discusses the evolution, changing perceptions and changing practices of what constitutes the dominant model of best practice in the innovation process.

The main objective of this paper is to develop a knowledge management (KM)approach in Iran aerospace industries based on the findings through the analysis of successful practices in KM area.

A qualitative case study technique has been used in this paper for data collection and analysis. For that, “grounded theory” research approach has been selected by which the collected data from successful organizations in KM adoption are categorized and analyzed. The extracted concepts were deployed in Iran aerospace industries to present a KM approach through benchmarking.

The overall results from the case studies analysis were positive, thus reflecting the appropriateness for benchmarking. The extracted concepts clarify how to develop KM approach in an organization. This approach has been applied in a large case study in Iran and is supported by practical implementation in Aerospace Industries Organization (AIO), one of the most important high‐tech industries in Iran.

This paper provides a helpful roadmap for practitioners in implementing KM through out the organizations and especially in large‐scale ones. This helps to ensure that the essential issues are covered during design and implementation phase. For academics, it provides a common language for them to deploy a KM approach in the organizations.

This study is probably the first to provide a benchmarked integrated KM approach based on the critical success factors extracted by analysis in a multi case study research. This study further opens up new lines of research and highlights implications for KM efforts through benchmarking. It gives valuable information and guidelines which hopefully will help the leaders to deploy KM in their organizations.

The main purpose of this study is to explore knowledge management and learning features in some Iranian small and medium‐sized enterprises.

A questionnaire was designed, applied and then analyzed using statistical methods. The results discuss various perspectives from the knowledge management point of view, and provide some important findings and a regression model to show the essential issues of the subject.

The learning factor was assumed as a dependent variable to carry out regression analysis with four factors: training; interactive participation of employees; flat structures in SMEs; and CEO support and commitment. The statistical analysis determined the four factors as important issues in the regression model. The results also showed that there is no relationship between organizational size and the need for knowledge management.

Most SMEs in Iran are still traditional. Their school of thought belongs to the industrial age and their efforts are not aligned to the knowledge era's requirements. Today's changes dictate a new model of thinking as a basic requirement. SMEs in Iran have to restructure their way of thinking towards a knowledge‐based paradigm for competitiveness and survival.

This study is probably the first to provide an integrated perspective of exploring knowledge management through Iranian SMEs. It gives valuable information and guidelines that hopefully will help SME leaders in decision making in the KM area.

An original systematic review of the academic literature on applications of artificial intelligence (AI) in the human resource management (HRM) domain is carried out to capture the current state-of-the-art and prepare an original research agenda for future studies.

Fifty-nine journal articles are selected based on a holistic search and quality evaluation criteria. By using content analysis and structural concept analysis, this study elucidates the extent and impact of AI application in HRM functions, which is followed by synthesizing a concept map that illustrates how the usage of various AI techniques aids HRM decision-making.

A comprehensive review of the AI-HRM domain’s existing literature is presented. A concept map is synthesized to present a taxonomical overview of the AI applications in HRM.

An original research agenda comprising relevant research questions is put forward to assist further developments in the AI-HRM domain. An indicative preliminary framework to help transition toward ethical AI is also presented.

This study contributes to the literature through a holistic discussion on the current state of the domain, the extent of AI application in HRM, and its current and perceived future impact on HRM functions. A preliminary ethical framework and an extensive future research agenda are developed to open new research avenues.

The purpose of this paper is to explore the contextual dimensions of organizations for finding the interactions between of these dimensions and knowledge management (KM) and to identify the critical success factors, drivers and constraints, relevant to the implementation of KM in the Tehran business environment. The most research of KM merely pays attention to its relation with dimensions of the organizations especially contextual dimensions.

A new exploration based on research experiences of the KM is formalized as an extension of the model by Daft. The present article reports the empirical findings of a survey conducted among managers and experts in Tehran. In this survey we give them a questionnaire that contains some questions related to the mentioned dimensions and asked about relations of them and KM critical success factors for better implementation based on factor analysis. The questionnaire reflects insights gained from a mix of individual choice models developed by various researchers and Delphi technique.

This research finds seven critical success factors, Collaboration and knowledge workers, Technology Deployment, Learning Culture, Flat Structures, Supply Chain Integration, Comprehensive strategies and Flexible Organizations, which related to the conceptual Dimensions of organizations and also drivers and constraints of KM implementation.

This framework reflects the interactions between contextual dimensions and KM. It may need further research to be used for structural dimensions of the organizations.

Using this research, organizations interested in implementing KM may be familiar with the impacts of KM implementation and contextual dimensions on each other for achieving the desirable outcomes.

The purpose of this study is to assess the e-readiness status of libraries in the Shahid Beheshti University of Medical Sciences in terms of four dimensions – human resources, electronical infrastructure, network services and programs and enhancers of the networked world.

The study population consists of 11 libraries of the Shahid Beheshti University of Medical Sciences, including the central library and 10 faculty libraries. The data collection instrument is a questionnaire prepared by the researchers that has been designed on the basis of the “e-readiness assessment of Iranian academic libraries model”. Depending on the respondents there are three parts to the questionnaire: questionnaire for managers, staff and information and communication technology (ICT) officials. Their reliability and validity have been proved.

The libraries of Shahid Beheshti University of Medical Sciences had an average to high status in terms of “human resources” with a score of 2.32, “electronic infrastructure” with a score of 2.48, “network services and programs” with a score of 2.09 and “networked world enhancers” with a score of 2.37 out of 4. In total, these libraries had an average to high status in terms of e-readiness, with a score of 2.29.

The findings of this study can help the library administrators and officials of Shahid Beheshti University of Medical Sciences to plan improvements to the situation of ICT.

The purpose of this paper is to identify the development of the digital transformation literature and to the systematic literature review methodology.

The authors run a systematic literature review, followed by a rigorous thematic analysis of both academic and grey literature dataset, in order to develop a conceptual map of organizations' digital transformation. The authors aggregate the concepts and topics identified across the literature to find that they overwhelmingly tackle digital business models. At the same time, the authors identify a major blind spot resulting from ignoring the organization itself as a unit of analysis.

The findings show that developing a digital theory of the organization or the theory of digitally transformed organization is a major challenge to management researchers. The analysis exposed numerous research gaps that can be helpful for future research directions.

Digital transformation research enjoys an increasingly rapid rise to recognition across many academic disciplines and strongly impacts the management domain. adopt the view that published documents reflect the collective understanding of a phenomenon. This paper contributes to filtering the digital transformation literature, clarify complex relation between digital transformations of organizations and identify the key blind points.

The purpose of this study paper is to identify and prioritize the factors affecting the knowledge flow in high-tech industries.

This research is applied in terms of purpose and descriptive-survey in terms of data collection method. This research has been done in a qualitative–quantitative method. In the qualitative part, due to the nature of the data in this study, expert interviews have been used. The sample studied in this research includes 35 managers and expert professors with experience in the field of knowledge management working in universities and high-tech industries who have been selected by the method of snowball. In the quantitative part, the questionnaire tool and DANP multivariate decision-making method have been used.

In this study, a multicriteria decision-making technique using a combination of DEMATEL and ANP (DANP) was used to identify and prioritize the factors affecting the knowledge flow in high-tech industries. In this study, the factors affecting the knowledge flow, including 8 main factors and 31 subfactors, were selected. Human resources, organizational structure, organizational culture, knowledge communication, knowledge management tools, knowledge characteristics, laws, policies and regulations and financial resources were effective in improving knowledge flow, respectively.

By studying the research, it was found that the study area is limited, and the previous work has remained at the level of documentation and little practical use has been done. In previous research, the discussion of knowledge flow has not been very open, and doing incomplete work causes limited experiences and increases cost and time wastage, and parallel work may also occur. Therefore, to complete the knowledge management circle and fully achieve the research objectives, as well as to make available and transfer the experiences of people working in this field and also to save time and reduce costs, the contents and factors of previous models have been counted. It is designed for high-tech industries, a model for the flow of knowledge.

This paper aims at exploring the role of structural capital (SC) dimensions – customer, process and innovational – in the development of e‐business models (eBM). The Iranian carpet industry is tested regarding five types of eBMs: Direct to customer, Full Service Provider, Virtual Community, Shared Infrastructure and Value Net Integrator.

First, measures for SC dimensions and required core competencies for eBMs are extracted from the literature. Then, the correlation level between SC dimensions and different eBMs are hypothesized. Finally, after using a questionnaire in 30 Iranian carpet companies, the hypotheses are tested.

This study indicates that three dimensions of SC influence different eBMs in their own way. While one instant dimension is strongly effective for one eBM, it does not significantly affect the other one.

The role of human capital – the second part of intellectual capital – on the development of eBM as well as the dependency of some other eBMs such as intermediaries on intellectual capital should be investigated in further research.

Using the help of this study, firstly, companies will concentrate on the most effective dimensions of SC in developing a special eBM. Secondly, they will exclude those eBMs which are not applicable regarding their knowledge capabilities.

This study brings together two disciplines that have not been considered together before: the development of eBMs and the management of intellectual capital.

The purpose of this paper is to examine the status of knowledge management (KM) in selected Iranian academic research centers (IARCs) in order to identify the most relevant KM critical success factors adopted by those centers that include physics, chemical, drug, aerospace, nanotechnology, mechanic, aviation, and biotechnology research centers.

Based on extensive review of KM literature, broad ranges of general KM critical success factors are identified. Then, through field studies, the degree of the relevance of each particular KM success factor is determined. The research procedure finally led to the identification of KM critical success factors prevailing in IARCs.

Five distinct KM factors including 16 different elements are found to be relevant and critical in the course of KM implementation in IARCs. These factors are “human resource management and flexible structures,” “KM architecture and readiness,” “knowledge storage,” “benchmarking,” and “chief knowledge officer.”

The extracted factors can act as a guideline for KM preliminary phases in organizations. This helps to ensure that the essential issues are covered during the design and implementation phase of a KM program. For academics, it may provide a common language for discussion and study of the factors crucial for KM.

The paper should be of value to researchers of KM in general, and to implementers of KM programs. It presents a range of issues critical to the adoption of KM initiatives.