This paper aims to examine the joint impact of Enterprise Resource Planning systems (ERP systems) and Non Financial Performance Indicators (NFPI) on corporate financial performance. Our study is based on a comparative analysis between firms that adopt ERP only, firms that use NFPI only and firms that combining both strategies (ERP and NFPI) during the period from 2001 to 2006.The implementation process remains highly uncertain. In fact, the use of Non Financial performance indicators is an important determinant of corporate financial performance. At the operational level, combining ERP systems with NFPI reflects a long-term business strategy to improve business process. In summary, the ERP and NFPI literatures demonstrate the vital importance of aligning business process, information technologies and key performance indicators with the strategic objectives of the firm. Results support the hypothesis in which firms that combining ERP and NFPI have significantly higher ROA than either ERP-only or NFPI-only firms.

Since strategy planning describes organization strategy and helps people understand it, it has a significant role in strategic management by drawing cause-and-effect relations; this plan provides the management more power to correct administrating of strategies. In this paper, Interpretive Structural Modeling (ISM) approach is used to produce a strategic planning for tile and ceramic industry. In the method introduced in this paper, after identifying the key measure of function assessment in case study of tile and ceramic by using ISM stages, cause-and-effect relations among the measures have been identified and finally the diagraph which is the strategic plans in four dimensions (BSC) has been drawn.

The safety of civil aviation will be more secured if the errors in all the facets can be reduced. Like the other industrial sectors, human resource is one of the most complex and sensitive resources for the civil aviation. The error of human resources can cause fatal disasters. In these days, a good volume of researches have been conducted on the disaster of civil aviation. The researchers have identified the causes of the civil aviation disasters from various perspectives. They identified the areas where more concern is needed to reduce the disastrous impacts. This paper aims to find out the critical factors of human error in civil aviation in a developing country (Bangladesh) as it is accepted that human error is one of main causes of civil aviation disasters. The paper reviews the previous research to find out the critical factors conceptually. Fuzzy analytical hierarchy process (FAHP) has been used to find out the critical factors systematically. Analyses indicate that the concentration on precondition for unsafe acts (including sub-factors) is required to ensure the aviation safety.

This paper concentrates on the evaluation of reliability measures of a computer system of two-identical units having independent failure of h/w and s/w components. Initially one unit is operative and the other is kept as spare in cold standby. There is a single server visiting the system immediately whenever needed. The server conducts preventive maintenance of the unit after a maximum operation time. If server is unable to repair the h/w components in maximum repair time, then components in the unit are replaced immediately by new one. However, only replacement of the s/w components has been made at their failure. The priority is given to the preventive maintenance over repair activities of the h/w. The time to failure of the components follows negative exponential distribution whereas the distribution of preventive maintenance, repair and replacement time are taken as arbitrary. The expressions for some important reliability measures of system effectiveness have been derived using semi-Markov process and regenerative point technique. The graphical behavior of the results has also been shown for a particular case.

Data Envelopment Analysis (DEA) is a decision making tool based on linear programming for measuring the relative efficiency of a set of comparable units. DEA helps us identify the sources and level of inefficiency for each of the inputs and outputs. This approach has been used to evaluate the efficiency of the safety department in five construction companies. A three-input, safety workforce, safety training, and safety budget, and two-output, Perfect days and Uptime, constant returns-to-scale (CRS) model was developed. The model indicated the necessary improvements required in the inefficient unit’s inputs and outputs to make it efficient, by identifying what factor is responsible for the low efficiency of performance, and also what factor should be improved in order to improve the efficiency of the safety department. The result shows that the safety department of firm A, B and D are efficient, but Firm C and Firm E can improve their efficiency by reducing inputs up to 3.34% and 6.05%, respectively. The inputs identified for reduction were; number of safety staffs and safety budget for Firm C and E respectively.

For measuring the efficiency of management of cash, cash holding is one of the most important financial decisions that the manager of the concerned organization, has to make in the organization. Basically, it is observed that the organization hold cash for future purposes is very negligible. If the organization invested cash in profitable securities then there is some flexibility but when it relates to the capital market holding cash is not advantageous. Generally two contradictory theories such as Trade-off theory and the Pecking order theory are considered for measuring the efficiency of cash management. In this study we generally observed measured the efficiency of Cash Management influenced by Cash Holding. We also measured whether cash holding of the organization is affected with the degree of financial leverage, size of the organization, investment and profitability. This study helps us to understand the influence of DFL, Investment and Size of the organization on Cash holding. Proper holding of cash in cash management can prevent the bankruptcy of any organization and also increases the efficiency of Cash or Liquidity management.

Impact of exchange rate volatility has received a great attention from the last century, its importance is certain in all sectors of the economy and it affects welfare as well as social life of the economy. Exchange rate between two currencies tells the value of one currency in terms of others one. Depreciation/Appreciation of exchange rate affects economic growth in terms of trade and shifts income to/from exporting countries from/to importing countries. The factors affecting exchange rate are inflation, interest rate, foreign direct investment, government consumption expenditure and balance of trade. This research study examines the impact of oil prices and exchange rate volatility on economic growth in Germany based on 40-year annual data. Cointegration technique is applied to check the impact of macroeconomic variables on exchange rate in the long run and short run. It is estimated that imports, exports, inflation, interest rate, government consumption expenditure and foreign direct investment had significant impacts on real effective exchange rate in the long run and short run. Sin addition, Engle Granger results indicate that relationship was significant for the long run and its error correction adjustment mechanism (ECM) in short a run is significant and correctly signed for Germany.

Small and Medium Enterprises (SMEs) in India are currently facing the challenges of increased competitions. In such environment, labor retention is very important factor for competition and survival. In this context, appropriate leadership styles and Quality of Work Life (QWL) are very important factors for survival. Literature on QWL is limited to SMEs and several studies commonly correlated with only QWL dimensions but no study on QWL has association with Leadership styles. This empirical study is accomplished to predict QWL in relation to Transformational and Transactional leadership styles. The sample consists of 240 Mechanical Manufacturing SMEs in Bangalore, India. To draw the inference chi-square test, Pearson correlation and regression analysis was carried out for the collected data using Mini Tab14. The results indicate that 25% of SMEs have implemented good QWL, in 56.6% of SMEs have implemented Transformational leadership styles; QWL of SMEs has significant association with Leadership styles. QWL and Leadership styles of SMEs are independent of demographical factors of SMEs like age of the firms, size of the firms, and cost of the project. QWL dimensions like work environment, relation and cooperation, autonomy of work has a significant association with leadership style. For both transformational and transactional leadership style job satisfaction and job security has highest correlation coefficient.

This paper aims to examine the effects of technology adoption and quality of websites on customer satisfaction as well as customer loyalty in banking industry. It also investigates the effect of electronic customer satisfaction on customer loyalty and the effect of electronic customer satisfaction on customer loyalty on e-CRM. The study is accomplished among managers of bank Sepah in city of Qom, Iran. Using structural equation modeling, the study has confirmed that there was a positive and meaningful relationship between the effects of technology adoption and quality of web services on electronic customer satisfaction and customer loyalty. The results also confirm the positive effect of customer satisfaction on customer loyalty, electronic customer satisfaction as well as electronic customer loyalty on e-CRM.

This research aims at examining effective factors on improvement of human forces & apos; productivity and determining degree of influence and importance of each group among factors including workshop equipment and arrangement in organization, system of control and supervision on employees, degree of employees training, occupational value of employees and at last, administrating meritocracy system on improvement of human forces & apos; productivity. Statistical population is composed of bureau of naval operations & apos; employees in oil terminals & apos; company in Khark, Iran. Statistical population has been 230, among which 135 people were determined as statistical sample size using Cochran formula. Survey instrument in this research has been questionnaire, according to which employees & apos; ideas about effective factors on employees & apos; productivity were evaluated. These questionnaires completed by people among statistical sample contain 16 close questions which were set up according to Likert 5-grade scale and were distributed as 135 numbers that after returning questionnaire, statistical analysis and data processing were accomplished. Analysis was performed in 2 descriptive and inferential statistics levels. Results of data analysis show that: A) 5-fold factors under review “workshop equipment and arrangement of organization, system of control and supervision on employees, degree of employees training, occupational value of employees and administrating meritocracy related to human resources by management” have had effects on improvement of employees & apos; productivity as average. B) degree of employees training and then occupational value of employees and administrating meritocracy system have had the most influence, and workshop equipment and arrangement of organization and system of control and supervision on employees have had the least influence.