JOURNAL OF INTERNATIONAL BUSINESS ADMINISTRATION
Year:2020 | Volume:2 | Issue:4|Papers Count:8

Today, the image of the country of origin has become one of the most important areas in the literature on international marketing and consumer behavior. The purpose of this study is to investigate the impact of the concept of country of origin image on brand loyalty, with the mediating role of brand awareness and perceived brand quality. This research is an applied one based on the nature and method of descriptive research in the field of correlation. The statistical population of the present study includes iranian consumers of cars with European and Asian of origin. The sample size required by the rule of thumb was estimated at 5 to 15 times the number of items and the non-random sampling method is available. The research instrument was a localized electronic questionnaire based on research by Jang et al (2014) containing 17 questions. Validity is confirmed by content validity and confirmatory factor analysis and its reliability is confirmed by Cronbach's alpha (0. 948). Amos software version 24 was used. The results show that the concept of country of origin image has a positive effect on brand awareness with coefficient of 0. 943, brand awareness on perceived quality with coefficient of 0. 810 and brand perception on brand loyalty with coefficient of 0. 895 are meaningful. there has been a significant positive impact between the country of origin image (whose structures include cultural assets, fashion equity and technology advance) and brand loyalty with the mediating role of brand awareness and perceived brand quality with a coefficient of 0. 795.

Nowadays, business performance is one of those topics that have been highly regarded in recent years by scholars and economic researchers and is undoubtedly the most important Measurement criteria of success in commercial companies. Thus, the aim of this study is investigate the innovation impact on information technology and knowledge network on business performance through talent management as a mediator. The statistical population in this study was the top exporting companies of food industry. Random sampling method and Cochran formula were used for obtaining a sample and standard questionnaire was used for data collection. LISREL software and structural equation modeling was used for data analyzing. The findings show that IT innovation and knowledge network have significant impact on the company through talent management and also they have significantly impact on business performance. While the direct impact of innovation in technology and knowledge network on performance is very low. knowledge networks have a significant positive effect on information technology innovations. With the advancement of innovation in information technology and knowledge networks, as well as the proper management of talents, it can be used to improve business performance and took advantage of its benefits.

Most members of the Iran export clusters are small and medium-sized enterprises. Investigation of researches confirm that no coherent framework for international development of export clusters has been presented so far. Therefore, due to the widespread failure of export clusters in international markets, the present study, by emphasis on exploratory approach and utilization of experts' views in this field and using interpretive structural modeling method, has provided a model for applying coopetetive strategy in internationalization of export clusters. The present research has innovation in the area of applying coopetetive strategy in terms of both framework development and methodology. This research was carried out in 2018 and by introducing fifteen effective factors, developed the proposed model in three different levels. According to this model, the most important factors influencing the international development of Iran export clusters are two factors: public recognition of clusters in the context of export markets and their international trade agreements, which are at the third level of the proposed model. While the three identified factors at the second level are conflict management among members, analysis of international markets and analysis of attractiveness of international markets by clusters. The other ten factors identified at the first level of the proposed model, including formulation of export strategies and operational plans, development of a culture of cooperation and workgroups, etc. are the next priorities in this field.

Today, improving the export performance of businesses has become a very important factor for the survival of organizations and the economic growth of countries in international level. Human resources management has also consistently developed this approach from a strategic approach to a sustainable approach. Environmentally friendly human resources management, as a cornerstone of sustainable human resource management, is a modern issue in human resource management that emphasizes the goal of environmental sustainability. This research is a practical purpose, and is a survey method using the structural equation modeling model. The study examined 175 exporters in mashhad, which exported over the past five years, as part of a group of exporting companies that were randomly selected. Based on findings and outcomes, the mediator role of the competitive advantage of cost differentiation and differentiation in the relationship between the environment friendly human resource strategy and the export performance of organizations was confirmed.

Dependence of Iran's economy on oil and oil products revenues is one of the main problems that has been considered by different policies and solutions in various development plans of the country to eliminate it, and non-oil export development is one of these. What is important here is the study of factors affecting exports and the identification of important variables and then appropriate policy based on the results achieved in order to realize the development of exports of goods and services. The main objective of the present study is to investigate the factors affecting the export of handicraft and artistic products. The statistical population of this research includes handicraft producers and exporters in four provinces of Tehran, Shiraz, Gorgan and Semnan, and the sample size was considered to be 200 people according to Klein formula. The research method was descriptive-survey and for data collection, simple nonprobability sampling method and a questionnaire tool was used which included 32 indicators. In order to test the collected data, structural equation modeling was used by using Smart PLS software. The results of this study indicate that the capability of the handicrafts product innovation and the use of marketing capability and marketing principles affect the export performance as well as the dimensions of export performance, and the dysfunctional competition variable plays a role in modifying the marketing capability and export performance.

The medical device industry is one of those industries that can be a viable option for expanding the export of industries based top technology. Considering the development of individual and institutional entrepreneurship indices can help to better understand business opportunities in the field of medical equipment and to gain competitive advantage and increase the share of countries through the production of new, high quality and low cost products. Worldwide export of medical equipment, Current research, with using dynamic Pane Data approach and generalized moment method, the effect of individual and institutional indicators of entrepreneurship on the market share of 20 countries selected from global exports of medical equipment during the period 2013-2017 was investigated. The results of the model estimation showed that the effect of individual and institutional indicators of entrepreneurship on the market share of selected countries from global exports of medical equipment is positive and significant. Also, the effect of control variables of degree of openness of economy and real exchange rate on the market share of selected countries from global exports of medical equipment is positive and significant.

Accumulation of negative information and bad news concealment inside the firm lead to bulk negative news about the firm. The sudden disclosure of this negative news is to increase the risk of the stock price crash. In this regard, it is logical to expect that the announcement of forecasted earnings that affect the information accessed by investors will produce an effect on stock price crash risk. This study aims to explore the effects of managements’ forecasted earnings attributes on the future stock price crash risk. To achieve this, we have screened 101 firms from among accepted firms in Tehran Stock Exchange during 2003-2017. And, multiple regression is used to test our hypotheses. Our findings suggest that the forecasting error attribute exerts a positive and significant effect on the stock price crash risk in the Tehran Stock Exchange; whereas, the effect produced by the frequency of the forecast is not statistically significant. Moreover, controlling for the effect of forecast error attribute, manager optimism leads to an increase in stock price crash risk when forecasting with a single criterion. However, we observed that a second criterion mutes the manager optimism effect.

The purpose of this study was to investigate the effects of network-driven behaviors in international industrial markets. Based on theoretical and empirical background, the conceptual model of research has been developed in the form of five main hypotheses and five sub-hypotheses. The statistical population includes all manufacturing and industrial companies of East Azarbaijan province, which have licenses to build and operate the industry, mining and trade organization of the province and have export performance. The sample size selected is 354 units based on Morgan's table. The data gathering tool was a questionnaire and its design with Likert range of five options was performed using valid sources and its content validity was confirmed by using CVI and CVR methods. Also, its reliability was assessed using Cronbach's alpha coefficient and Confirmed. Data were analyzed using SPSS and AMOS software. The results of the research showed that network-driven behaviors are not affected by market-oriented behaviors (competing-driven behaviors and customer-centric behaviors). Market-oriented behaviors have a positive impact on the company's export performance. The impact of network-driven behaviors varies on the effectiveness of the portfolio with its close proximity to end-users. The impact of network-driven behaviors varies on the effectiveness of the portfolio due to technological turmoil. Network-driven behaviors have a positive impact on the effectiveness of the company's communications portfolio. The overall results showed that the model is in good agreement with the data. Therefore, the original model of research has been approved with appropriate fittings.