Purpose The purpose of this study is to investigate factors contributing to the development of resilience capacity and capability of industrial clusters in order for them to mitigate, absorb and adapt to the impacts of Iran’s economic sanctions. Design/methodology/approach The Hospital Equipment Cluster of Tehran (HECT) was selected as the case study for the research. The data were collected using the library and field research and analyzed using the thematic analysis method. Findings The key dimensions of resilience were grouped into socio-cultural, economic, technical-organizational and institutional–infrastructural categories. Based on the “complex adaptive system” theory, each of the abovementioned dimensions were investigated on different levels of analysis, including individual, enterprise, cluster, government and environment. Eventually, recommendations were made by considering required capacities and capabilities of resilience of the hospital equipment sector toward economic sanctions. Originality/value The resilience toward economic sanctions, as an extensive disaster, is a considerably new subject and few studies have been performed in the field. This research provides practical solutions for local policy-makers, authorities and enterprise managers.

In many studies, the relationship between development of financial markets and economic growth has been proved. Credit risk is one of problems which banks are faced with it while doing their tasks. Credit risk means the probability of non-repayment of bank financial facilities granted to investors. If the credit risk decreases, banks will be more successful in performing their duties and have greater effect on economic growth of the country. Credit rating of customers and identifying good and bad customers, help banks lend to their good payers and hereby, they reduce probability of non-repayment. This paper aims to identify classification criteria for good customers and bad customers in Iranian banks. This study can classified in applied studies group and the research strategy is descriptive. Artificial neural network technique is used for financial facilities applicants' credit risk measurement and the calculations have been done by using SPSS and MATLAB software. Number of samples was 497 and 18 variables were used to identify good customers from bad customers. The results showed that, individual loan frequency and amount of loan had most important effect and also status of customer's bank account, history of customer relationship with bank and received services had least important effect in identifying classification criteria of good and bad customers. The major contribution of this paper is specifying the most important determinants for rating of customers in Iran's banking sector.

The purpose of this research is to investigate the status and the evolution of the scientific studies on the effect of social networks on e-commerce. The study seeks to address the status of a set of scientific productions of researchers in the world indexed in Scopus based on scientometrics indicators. In total, 1926 articles were found and the collected data were analyzed using quantitative and qualitative indicators of scientometrics with bibliometrix R software package. The findings show that researches have grown exponentially since 2009 and the trend has continued at relatively stable rates. Thematic analysis shows that the subject had a significant but not well-developed research field .There is a high rate of cooperation with a rich research network among institutions in United States, European and Asian countries. Studies also show that research interest in this area is prevalent in developed countries. In addition, the lack of funds and complex analytical tools may be due to lack of studies in developing countries, especially in Africa. The study of the global trend of research through scientometrics helps managers and researchers in identifying countries and institutions with the greatest potential for scientific production, which allows them to develop their professions.

In the modern hyper competition, the outsourcing decision can be a matter of survival or failure. In this paper, the authors aim at providing an easily adaptable, statistically robust decision model to help firms with deciding whether or not to outsource their IS functions.Initially, the authors used Factor Analysis to identify the decision criteria. Then, they designed an AHP decision model based on these criteria. The methodology is unique and this methodological combination has never been used before. Results showed that geo-political issue is the most important criterion, followed by strategic, economic and technical considerations. Scholars can take advantage of this to shape their researches or test the results in different contexts. Additionally, the model can be of great help to professionals considering IS outsourcing.

PurposeThe purpose of this study is to explore the impact of customer engagement in sales promotion on purchase intention. Utilizing value co-creation and customer engagement theories, the authors tested a model that specifies the effect of customer engagement in sales promotion on purchase intention, through its impact on perceived value and customer satisfaction.Design/methodology/approachThe model was tested with the PLSc-SEM approach.FindingsEngaging customers to store's offers by giving them the possibility to choose the type of promotional discount that suits their personal preferences and needs is positively associated with purchase intention, and that this relationship is mediated in serial by perceived value and customer satisfaction.Practical implicationsInvolving customers in sales promotion provides opportunities for retail front line management, as well as for customer relationship management to attract attention and interest.Originality/valueWhile previous research concerned situations where firms and customers collaborate in the co-creation of value, its role in the sales promotion process is yet unclear. This study starts filling this gap by taking a closer look at customer participation in the sales promotion process and its impact on customer purchase intention.