جستجوی مقالات مرتبط با کلیدواژه « small » در نشریات گروه « صنایع »

One of the most prominent strategies that lead to the economic development of the country is the creation of industrial clusters in different regions, and paying attention to the success factors of these clusters plays a vital role in the development of a region. Therefore, in the first stage of this research, the success indicators and components of industrial clusters were extracted using thematic analysis method, and in the second stage, factors were evaluated using the survey method. The statistical sample in the first stage was experts (25 people) and in the second stage, the manager of small and medium industries in industrial clusters (125 people). To measure the validity of the research components, the content validity method of the CVI index (value 79%) was used, and for their reliability, Cohen's kappa coefficient (value 76%) was used. In order to evaluate the extracted components and indicators, a researcher-made questionnaire was used, so that its reliability was tested using Cronbach's alpha test (value 73%) and its validity was tested using the content method (experts). SPSS17 software and LISREL8.80 software were used to analyze the research. The results showed that the number of 133 indicators or primary codes; 39 sub-themes and 14 main themes were extracted as a result of the research, and the main components in order of importance based on data analysis include: infrastructures (7/28), improving the business environment (7/09), laws (7/07), financial support (7/02), supply chain (6/25), knowledge networking (6/20), marketing (6/19), human resources (5/80), cluster communication (5/80), performance (5/76), entrepreneurship (5/68), industrial development (5/20), participation (4/98) and technology (4/29).

This research provides a framework for identifying the core competencies and consequently the competitive advantage of small and medium-sized manufacturing organizations in conditions of fuzzy uncertainty.

This research ranks of the core competencies using the group fuzzy TOPSIS method, which is a mathematical model.

Research findings show that the core competencies of customer services and advertising are considered as a "competitive advantage" in small and medium-sized manufacturing organizations.

Originality/Value:

 To extract the core competencies, the review conducted showed that the previous models ignore the resource-based condition. Moreover, only four main factors including the value creation, uniqueness, irreplaceability, and imitation are considered for screening the core competencies under competitive condition. Taking a different viewpoint, the framework proposed in this study not only encompass the resource based factors but also it covers the market base condition to identify the core competencies. Therefore, in addition to the four above-mentioned factors for screening core competencies, two more factors including the new market creation and scope of application are considered in this research. Also, as a novel application, a group fuzzy TOPSIS method has been developed to identify the core competencies under resource-based and market-based conditions.

An integrated management system includes a strategy for managing multiple systems and increasing productivity in order to meet the needs of stakeholders, which uses different standards for the development of these systems. These systems require resources such as human power, time and cost, which put a lot of pressure on organizations and lead to obstacles during its implementation and reduce productivity. In this regard, this article was conducted with the aim of designing a conceptual model of obstacles to the establishment of an integrated management system and using a combined method (content analysis and interpretive structural modeling). The statistical population of this research is small and medium companies in the field of metal industries of Qazvin province. Sampling was done in a purposeful manner and until theoretical saturation was reached, and based on this, twelve specialists and activists in this field were interviewed. While extracting the components related to the obstacles to the establishment of the integrated management system, the conceptual model of the research was developed, and according to the review of the research background and interviews with experts and the method of content analysis, 90 open codes, 28 concepts and seven categories with the titles of stakeholders External, employees, resources and management, regulatory and legal factor, cultural-organizational factor, establishment and financial-economic component were extracted and modeled based on interpretive structural modeling method. Also, the degree of dependence and the guiding power of each of the components is presented. Finally, solutions to improve the deployment performance of this system are provided.

Online shopping is one of the new ways of buying and selling in small and medium-sized online non-physical businesses, which is the result of rapid growth and increasing use of computer technology and makes sellers of businesses and buyers communicate much more efficiently through the Internet and make the exchange process more efficient. The purpose of this study was to provide an online shopping model in the field of small and medium online businesses from the perspective of entrepreneurs using theme analysis method. In order to conduct the research, a qualitative approach using semi-structured interviews with entrepreneurs in the field of small and medium business online has been used. The sample size included a total of 12 people with purposeful sampling logic until theoretical saturation was achieved. Data coding was performed using Max Kyoda software. Findings showed that online shopping model in the field of small and medium businesses online with 9 main themes and 45 sub-themes (website infrastructure factors, marketing factors, online shopping experience, political factors, technology-transportation factors, factors Economic, security and risk, social factors, consumer characteristics) are explained. It is suggested that studies of customers' online shopping behavior be prioritized for small and medium-sized online businesses in order to use its findings in the correct and timely identification of consumer behavioral tastes.

Small and medium-sized businesses are a symbol of business development in developed and developing countries, which, if they do not succeed in their careers, require serious attention to solving problems. The aim of this study is to design a model for restarting small and medium-sized entrepreneurial businesses. Research is fundamental in terms of compositional methods and in terms of purpose. The statistical population of the research in the qualitative phase includes experts in the field of entrepreneurship and faculty members of the university, 20 of whom were selected by targeted sampling method and snowball approach to theoretical saturation and in a small section the owners of entrepreneurial businesses failed. 207 companies were selected using the available sampling method. The data collection tool was a semi-structured interview in the qualitative section and a researcher-made questionnaire in the quantitative section. MAXQDA11 quality software was used for qualitative data analysis and SPSS23 and Smart PLS3 statistical software were used for quantitative analysis. Findings showed that lack of experience, lack of reform and developmental attitude, frustration and lack of reinvestment, lack of government financial support, turbulent economic situation, consumer value changes, instability of government laws, lack of motivation and Lack of willingness to re-enter the business and market, insufficient training and lack of irrational advice and targeting, lack of knowledge of the target market, lack of modern technology and lack of value of domestic production, are the most important failure factors identified in this study.

Cloud computing is recognized as a fascinating growing technology among companies around the world. While there can be great benefits for the HR department in small and medium-sized enterprises, the use of it can also include several challenges. The present study focuses on the review of the literature of cloud computing and the review of previous research on the role of cloud computing technology, its applications, its advantages and challenges in small and medium enterprises, and especially in HR systems for cloud computing. Has been reviewed. Based on the findings of this study, cloud computing applications are widespread in human resource management systems in small and medium enterprises. This technology can be used to target talent and attract talent, train and develop human resources, service compensation management systems, and evaluate HR practices. Also, the advantages and challenges of this technology in the management of human resources of small and medium enterprises are presented in two general categories including internal and external factors. Internal benefits and challenges include technical, security, human resources, and financial factors, and external factors include environmental and legal factors. Part of these advantages and challenges is due to the small and medium size of these companies and partly due to the conditions of HRM systems.

Small and medium enterprises are the main place of growth, entrepreneurship, employment, innovation, and risk taking. One of the basic ways to upgrade the competitiveness of these industries is to improve the status of technological innovation. Therefore, in view of the specific characteristics of these industries, identifying and upgrading the status of enablers can be very effective and promising in order to succeed in improving technological innovation. Thus, the purpose of this research is to present a structural model of the technological innovation enablers in the small and medium industries. In this research, after studying theoretical foundations of research and experts’ views, 8 dimensions and 32 related components were identified as technological innovation enablers. In the next step, using structural-interpretive modeling, relations between dimensions of the enablers of technological innovation were determined, and by leveling them the research model was drawn. The results showed that the dimensions of "technological factors", "knowledge management", and "external links" respectively have the highest priority in achieving technological innovation in the small and medium enterprises. The presented model in this research, while offering the dimensions and components of the technological innovation enablers and their priorities, can be used as a systematic and integrated native model for long-term promotion of the technological innovation level in the small and medium enterprises.

According to successful experience of industrial development in several countries, the most important instruments of industrial development infrastructure are the industrial estates. They promote industrialization in order to provide common facilities to a number of small and medium-sized industries. In this survey, the present resources in the libraries and internet are studied; meanwhile, the conditions of industrial estates in Iran for the impact of key factors on their success are evaluated. So, the goal of the research is to determine the influential key factors on the success in this respect. Industrial estates have almost a long history in Iran, they have played an important role to facilitate and promote industrial, economic development, and also employment. The related experience in Iran is not completely successful. There are several inactive and semi active industrial estates that have not done any industrial activities, therefore many industrial projects have been stopped in different phases (such as allocation of land as well as installation of equipment and machinery).These are regretful indications of difficulties in the research and development process of industrial estates in Iran. No independent research has been done on the effects of success and failure in this regard. For this reason, we have designed a conceptual framework to assess the success factors for managers, policy makers and researchers of industrial development in Iran.

Today, technology and related innovations have become one of the most important elements of the strategic environment of organizations. Therefore, the acceptance of technology by users is one of the most important factors in the success of an innovation. This research aims to provide a local model of technology acceptance in small and medium enterprises. Three main questions were raised in order to promote research and achieve the applied results; thus, in addition to providing a local technology acceptance model, the effective factors were identified and ranked. The statistical population of this study includes managers of small and medium-sized enterprises. The results indicate that seven factors of individual adaptation, organizational adaptation, perceived usefulness, perceived ease, attitude towards, intent and purpose, and the behavior of using technology are effective on technology acceptance. Also, after comparing the results of both Friedman test rankings and the AHP method, the same results were obtained so that the two factors, namely the attitudes towards, and the intent and purpose of using technology, had the most impact on technology acceptance. At the end and after obtaining the indigenous and fitted research model, practical proposals have been presented to the managers of small and medium-sized enterprises.

The present research is applied in terms of purpose, qualitative in terms of variable, cross sectional in terms of time, and descriptive-survey and correlation- causal in terms of type. The statistical population consists of all the managers and experts of small and medium- sized manufacturing companies of Semnan city, including units of R&D, production, training, marketing, and market researches.
This paper has been done in period of Fall and Winter 1396. Sampling is based on the logic of partial least square with simple random sampling method. Data collection was performed using library and field study method, and with the help of questionnaire. Data analysis was implemented by a multi stage process as follows: components recognition by the related literature, reliability study of the mentioned components by Cronbach’s alpha and CR indices, and KMO index for sampling adequacy were used. Then, for responding to questions and hypotheses, the test of path and correlation analysis were used. In the next steps, confirmatory factor analysis for monitoring the indices in each constructor as well as validity were studied. Finally, all the research hypotheses were confirmed, and it can be said that open innovation has a significant impact on company innovative performance; also the moderating role of market turbulence in meaningful.

Legislation of environmental regulations together with growth in awareness and sensitivity of costumers with respect to environmental performance have made the organizations to implement green innovations in products, processes and management systems. This causes better performance and a step towards keeping environment safe. The present research tries to study the influence of environmental regulations and costumers’ pressure on green innovative performance of small and medium-sized enterprises and to offer necessary solutions. For this purpose, first we review the theoretical foundations and research background, then the conceptual model and research hypotheses are tested using Smart PLS software, and finally modelling of structural equations based on partial least squares is implemented. The conceptual model indicates that the customers’ pressure and environmental regulation have effect on the green innovative performance through the intermediate variables including top management support, R&D, and environmental management system. The results show that environmental regulations (0.196) and customers’ pressure (0.407-0.259) affect the green innovative performance; the former through environmental management system mediators (0.377), and the latter through top management support (0.562) and environmental management system (0.377).

The main purpose in this research is to identify the efficient strategic factors in success of small and early return firms from manager’s point of view, with the Balance Score Cards method approach. This is an applied, descriptive and survey research. The data are collected within 2015 November and December (Aban and Azar of 1394). Statistical society contains 70 firms that are selected in simple accidental method and totally 60 firms are studied. The data of this research are gathered by the certain questionnaire containing 35 questions. SPSS version 20 is used to analysis the data. In descriptive statistics, the education of managers is analyzed. Kolmogorov-Smirnoff test is used in inferential analysis to test the questions and normality of data. According to the results of Kolmogorov-Smirnoff test, the binomial test is used to answer the questions about the components (of B.S.C) and one-sample t-test is used to investigate the dimensions of it. Also and Friedman is used to rank the strategic factors. Finally the results of this research show that, the small quick-impact firms in terms of balancing different aspects, are in good situation and in this respect the opinion of managers, show the homogenous attention to the four main aspects in this method. However there are some strategic effective factors which may not be seen or be neglected by the managers.