• Article Information/
  Abstract

 Original Article, C5
Salmanzadeh H., Jafari V., Anjomani R., Marefat S.
J. Appl. Bus. Fin. Res. 3(2): 33-39, 2014

ABSTRACT: This paper empirically investigates the effect of capital structure, free cash flow and diversification on firm performance. To collection data we use RahAvard Novin software and Tehran stock exchange website and for data classification of firms and Industries from Excel 2010 software. We use the E-views version 7 and pooled least Square (PLS) to analysis data. The results of the analysis of the data showed that capital structure and firm diversification (related & unrelated) has a positive effect on firm performance. Also, the results showed that free cash flow has a negative effect on firm performance.
Key words: Capital Structure, Free Cash Flow, Diversification, Firm Performance, Entropy.

• Original Article, C6
  Salmanzadeh H., Rostami V.
  J. Appl. Bus. Fin. Res.. 3(2): 40-46, 2014

ABSTRACT: This paper empirically investigates the relationship between financial constraints, invest- ment policy and product market competition on the Amount of Cash holding. For this purpose, a sample of 65 Iranian listed firms that active in three industry (food, Automotive and pharmaceutical industry) for a period of 10 years (from 2002-2011) by purposeful randomly was selected. The E-views 7 is used for analyze Data and Generalized least squares regression (GLS) is used to test the hypothesis. The results show that there is significant and positive relationship between financial constraint, Cash flow uncertainty and size with Cash holding. Also, there is significant and Negative relationship between financial leverage and product market competition with Cash holding. Finally, the results show that there is not relationship between growth opportunities with cash holding in the Iranian listed firm.
Key words: Cash Holding, Cash Flow Uncertainty, Financial Constraint, GLS.

• Original Article, C7
• Alim S., Ozuem W.
  J. Appl. Bus. Fin. Res. 3(2): 47-54, 2014
  

ABSTRACT: With the advent of new technologies and given the continuing change in consumers’ needs, companies have switched from CRM (Customer Relationship Management) to e-CRM (electronic Customer Relationship Management). The purpose of this study was to investigate the impact of e-CRM on customer loyalty in the UK mobile industry, using Vodafone as a case study. Two research problems were addressed, namely 1) What is the impact of e-CRM on customer loyalty in the UK mobile industry and 2) To what extent does e-CRM enhance customer loyalty in the UK mobile industry? The key attributes of e-CRM that affect customer loyalty were explored, namely service quality, customisation, website design and contact interactivity  It has also been found that e-CRM is effective at strengthening relationship with customers and promoting the development of an attractive virtual community which further enhance satisfaction.
Key words: e-CRM, UK Mobile Industry, Attractive Virtual Community, Customer Loyalty

• Original Article, C8
  Abbasi E, Garakani M, Abvali, M.
  J. Appl. Bus. Fin. Res. 3(2): 55-65, 2014

ABSTRACT: The various depots multiple traveling salesman (VmTSP) is the normal status of multiple traveling salesman problem (mTSP) whereas there is more than one depot and multiple salesmen in each depot. The functional purpose of this problem includes minimizing all travels for each salesman as each salesman starts its own travel from one specific depot and returns to the same depot. Since this problem is related to NP-Hard, it is impossible to solve it in this real world. Thus; we used some Meta heuristic methods in order to achieve some approximate efficient results. We used Meta Heuristic standard genetic algorithm to solve this problem. Despite comparing the final results of limited problem with efficient result, the efficiency of parameters as well as the strategy of choosing are compared in large scaled in this Meta Heuristic method. In addition, the suggestive parameters (New-MX cross-over parameter) in genetic algorithm in an extremely large sizes (100 cities), large (150 cities), and extra large scale (200 cities) are compared separately, the results show the better combinations of UX#2 cross-over parameter and the selection strategy of elite parents in extra large scale, the combination of suggestive New-MX cross-over parameter, and the competitive binary strategy in large scale as well as the combination of PMX cross-over parameter with the binary selection strategy in an extremely large scale.
Key words: VmTSP, Meta Heuristic, Genetic Algorithm
JEL Classification: C44, C61, M54