This paper examines the effect of supply chain on performance indicators including sales growth and market value in the context of manufacturing firms in Kuwait. The dimensions of supply chain; namely strategic supplier partnership, information sharing, and information quality are also added in the model. Along with sales growth and market value, industry leadership, future outlook, overall response to competition, overall business performance, employee’s productivity, process productivity, and success rate in the launching of new product are some of the important indicators for measuring firms’ performance. Both factor analysis and structural equation modelling approaches are applied to the sample of 314 respondents taken from the manufacturing firms in Kuwait. Factor analysis provides some evidence that all the indicators for supply chain and business performance can be considered for the structural modelling and regression analysis. The core findings under structural modelling indicate that both strategic supplier partnership and information sharing had positive and significant impacts on the overall business performance. However, information quality appears to be the insignificant determinant of business performance. For the sales growth and market value, strategic supplier partnership and information sharing are significant determinants obtained through the regression analysis. The originality of the study can be viewed with reference to the selected performance measures and their determination through supply chain management. However, this study is confined only to the manufacturing sector and the services sector can be focused by incorporating additional performance measures and suitable sample size in future studies.

Transforming from digitalization to digitization brings many new technologies to restructure our life and life routines. In today’s competitive world, internet infrastructures and banking industries are counted as integral components for online shopping and commercial transactions. As because, disclosure of online transactions has been allowed through internet media, that would enhance the availability of electronic payment systems. Further, this study aims to explore and investigate the relationship and impact of electronic payment methods on the sales growth with the mediating role of online shopping by targeting UAE banking Industry. This study followed the quantitative approach and a correlational design. The empirical data were collected through a survey designed on a 5-point Likert scale, 217 valid questionnaires were sent to all participants (i.e., top managers, middle managers and technicians) via emails. Different statistical analyses were performed in this study. The results of the study showed high internal consistency among the study variables as Cronbach’s Alpha values ranged from .873 to .855. Further, this study highlighted the significant relationship and direct impact between online shopping and sales growth. Meanwhile, indirect impact was confirmed by the results between online shopping and sales growth through e-payment. In this regard, results can help to identify the impact of e-payment on sales growth through online shopping and also provide advantage for this and many other similar organizational studies.

One of the most complicated and challenging issues in today & apos; s financial managers is the relationship between the components of capital structure in terms of bonds and shares used for financing and share price of their company, and its effects on the macroeconomic variables. This research aims to study the relationship between the capital structure and performance of the production market in some firms listed on Tehran Stock Exchange (TSE). In this research, the index of capital structure is debt ratio and that of production market performance is sales growth and return of assets (ROA). The statistical sample of this research includes 128 companies, which have been active in 11 various industries and listed on TSE over the period 2005-2010. The statistical techniques used to test the hypotheses of this research include correlation coefficient and pooled least squares regression (panel data). Based on the results of our survey, there is a strong and significant relationship between debt ratio and return on assets among the companies listed on TSE and most industries especially based metals at the confidence level of 95%. In contrast, there is no strong and significant relationship between debt ratio and sales growth in the above-mentioned companies and in most industries.