Industrial Technology Development
Year:2019 | Volume:17 | Issue:35|Papers Count:7

Nowadays, banking industry is an area in which innovation is required more than any other service industries. Studying the factors and indices effective on service innovation in tourism bank, is the aim of this research. Research statistical population consists of 580 out of the whole tourism bank personnel all over the country including users, senior users, bosses and deputies. The sample size is estimated 232 persons using Morgan Table, and the research time span is from Bahman 95 to Mordad 96. Data gathering is done through electronic questionnaire whose validity is verified by expert’ s views, and its reliability by the coefficient of Chronbach’ s alpha. In this research, based on studied literature, 58 indices effective on service innovation in the form of 9 factors at the bank level were identified including communication, strategic, human, market and customers, technologic, organizational and systematic, processing, financial, and learning ones; and their effects were studied by structural equations and Amos software. Also, the present status of service innovation factors in tourism bank indicates that its innovative performance is under alarming level for the communication, processing, organizational and systematic, and financial factors; it is nearly equal to alarming level for strategic, market and customers, and learning ones; and finally the human and technology factors are at higher level of alarming.

Research and development is an important economic issue that causes technological changes and therefore has a significant role in development of technology and increasing value added. In this study, the effect of RD efforts on value added of Iranian industries is investigated by applying panel data method. The results indicate that internal RD expenditure has a significant and positive effect on value added of Iranian industries. Therefore, the policy recommendations of this study suggest that the government should support RD efforts of industries in order to improve their technologies and production methods.

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.

Nowadays, for adapting to changing conditions in the market and dealing with competitors, companies are seeking to gain competitive advantages in order to survive in turbulent environment and get better performance. In fact, economic prosperity of the countries, industries, and companies are dependent on utilizing the information technology appropriately. Information technology capability can be considered as a competitive advantage for the firm and can pave the way for dealing with unpredicted conditions and rapid environment changes. The research method was descriptive-survey and data were collected through questionnaires. In order to evaluate the model fitness and test research hypotheses, 120 firms were studied. Data analysis was carried out by structural equation modeling based on partial least squares (PLS). Finally, all of the research hypotheses were confirmed, and the results showed that information technology capability has positive and significant impact on the firm performance through the two variables of mediator role of business process management and supply chain integration capabilities.

The aim of this research is to study the effective factors on the selection of collaboration strategy among startups and brands. The managers and experts of knowledge-based companies in Qazvin Science and Technology Park, and also, some of the active brands of Qazvin industrial towns are considered as the statistical population of this research. The number of required samples was 80 persons regarding Morgan Table. Researcher-made questionnaire, based on indices mentioned in Kohler article (2016), is compiled to gather the data, and T-Student & Freidman methods are applied to test the hypotheses. Findings show that the degree of conformity between the brand and startup goals, the time of startup establishment, and the variety of innovative ideas are effective on the selection of collaboration strategy. The startup’ s need to new channel for products distribution and to enter new markets, and the startup managers’ desire to increase the credibility of their companies, influence the selection of support strategy. Also, the financial power and need of the brand, the financial need of startup, and the importance of the access to company resources and to the startup’ s talents are effective on the selection of investment strategy. Besides, the risk bearing of the managers, startup value, and innovation gap affect the selection of absorption strategy.

Today, development through cluster innovation plays a pivotal role in economic and industrial policies of developed countries. On the other hand, identifying the main factors of success in clustering and defining indices is one of the most important planning steps for the development of industrial clusters; and without understanding the key factors of the cluster, its future cannot be planned. The main objective of this research is to identify the factors affecting the success of Guilan industrial clusters despite the uncertainty in experts' opinions. For prioritizing the factors effective on cluster success, 48 primary ones which are influencing business clusters were extracted from research literature. Then, by applying Delphi method and after three steps, the 48 factors were converted to 28 ones and categorized in six sections using clustering. Finally, the effects of these factors were analyzed using the gray Dematel method. The results of the analysis showed that environmental, geographical, and performance evaluation factors were the most important ones in the success of business clusters in the province.