One of the main reasons for this is lack of commitment

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The role of organizational strategies in the commitment of employees of the Melli Bank of Boroujerd

Maryam froghi

Department of Public Management, Borujerd Branch, Islamic Azad University, Borujerd, Iran

Abstract

Organizations in using the maximum capabilities of employees increased attention. But it should be noted that the staff does its utmost to obtain the goals are not working. One of the main reasons for this is lack of commitment. If an employee is not committed to their organization, for his success or lack of success is not much different. In this approach, organizations will have huge costs. For most organizations costs related to staff costs and if these costs do not have the required efficiency, the failure of an organization will be inevitable. In the 1970s, attempts to explain the success of Japanese business by authors such as Ouchi (1981) and Pascal and Athos (1981) took place which ultimately led to the theory that the best way to manage this is motivation. Their full commitment to the organization and its policies through leadership and enthusiasm to grab it.

This process can be approach (hearts and minds) called motivation, and this approach was famous among other things tools such as quality circles. This cane to Peters and Waterman (1982) and imitators inherited them in 1980. This approach to excellence by professors Peters and Austin (1985) concluded.

When they again somewhat idealistic wrote: "Trust staff have to treat them as adults."

Key word: Organizations, strategies, staff, motivation.

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Introduction

Organize and maintain organizational system is one of the most important tasks of management responsibilities and carry out such an important task, which means that organizational commitment and sense of responsibility of employees is an increasing growth. Therefore, the administrator of an organization actually responsible for the amount and type of employee commitment to the values and organizational policies. Organizational commitment is an attitude of corporate career researchers noticed that over the past years in the fields of organizational behavior, psychology, particularly the psychology community. decreased performance and therefore it is not the case for review. But another group of researchers accepted this view and believe that organizational commitment has not lost its importance and can still be investigated. The new era is the era of information and knowledge has become the promise of a new world with new ways to use information and knowledge (Babai 1381, p. 1) One of the areas affected by these new techniques were trade and financial transactions have been so that we can say that in recent years the business has expanded greatly, so that the volume range of other exchanges in person and by phone and e- facing and more are using their credit cards. New forms of money and payment methods that exist today, such as the Czech electronics, smart credit cards not only led to major changes in the buying process, but allows companies to produce money, which until now was only available to governments, possible is (Khani, 1386) e-commerce is one of the aspects of e-business (Jfrnzhadvdygran, 1388). Today, for most companies, e-commerce is more than just buying and selling products online. E-commerce is changing the face of competition, the speed of the flow of transactions, products and payment by customers to companies and supplier companies. In the meantime Since the advent of technology and new methods of work, people who are in need of adoption By

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using it, we can say that the type and how to provide the technology and service on behalf of taxpayers may have contributed to this acceptance.

Research Methodology

This is the purpose of applied research. Also for the description of the status quo, because it is descriptive and research data from the survey is the sample collected from the survey.

Community sample

The study population included all customers Contacts city of Boroujerd the Melli Bank, that number was 228. Due to the limited population of the whole community was selected as the sample was so simple sampling methods. The

final sample of the research was analyzed.

Measuring tool

Inventory factors affecting the adoption of mobile commerce: the scale has 9 subscales: Perceived enjoyment (3 items), customer opinion (3 items), perceived usefulness (3 items), ease of use (3 items), cost (3 items ), diversity (3 items), perceived value (3 items), perceived comparative advantage (3 items), social work (3 items), and a total of 27 questions respectively. Responses based on a 5 point Likert scale and order.

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Validity and reliability of questionnaires

Questionnaires used in the study was designed and its validity in this study by researcher also utilizes the supervisors' and some experts on the topic in the form of a formal study was approved. To test the reliability of the questionnaire, 20 questionnaires distributed and collected samples using Cronbach's alpha coefficient was calculated reliability, which results in the tables below:

In this section, the data collected from participants, analysis of elderly. Data analysis, multi-stage process in which the data collected through the use of instruments in the sample provides a summary, Coding, Classification and eventually flows back to background processing Contact of these data to test hypotheses and Artbat¬Ha provided

A total of 172 questionnaires were distributed among the customers in order to collect data, of which 164 were usable questionnaires were used for statistical analysis. Select statistical tests were used for statistical data analysis in consultation with experts. Using the techniques of descriptive statistics, tables and to describe the data and provide meaningful information and then to verify the assumptions of the statistical tests used.

Analysis of the hypotheses

In this research will be to test hypotheses. According to the results of the Kolmogorov-Smirnov test of normal distribution of data, to evaluate the effect of customer desire for mobile commerce sample t-test and Friedman test used for ranking these factors.

The main hypothesis: factors affecting consumer desire acceptance of mobile commerce has asignificant impact.

-64/9 percent of the respondents were male -35/1 percent of respondents were women.

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The first hypothesis test

Attitude towards their work teams guided by a commitment to policies no positive effect: H0

Attitude towards their work teams guided by a commitment to positively influence policies: H1

The structural equation the path coefficient between individual attitudes and commitment to the policy of "73/0" is that the test "96/0> 47/6" significant level of "05/0" null hypothesis is rejected as a result of claims As a result, researchers claim with certainty "95%" has been approved between individual attitudes and commitment to the policy There is a positive relationship and attitude has a positive effect on commitment to policies.

The second hypothesis test

Role clarity on the commitment to policies have a positive impact: H0 Role clarity on the commitment to positively influence policies: H1 The structural equation coefficient between the policies of transparency and commitment to the role of "39/0" is the test under "96/1> 72/3" in meaningful level of "05/0" null hypothesis is rejected The researcher claims to make "95%"

has been approved and the role and obligation of transparency to politics there is a positive relationship and role clarity on the commitment to positively influence policies

The results of hypotheses.

As a result of the first hypothesis

Positive relationship between attitude towards their work teams guided and commitment to organizational policies.

According to the results of the first hypothesis observed that the standardized regression coefficient gamma «GAMA» for attitude is "73/0" value and «t» to

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"47/6" is. This means that a positive impact on the attitude and commitment to politics in increments of one commitment to politics in staff attitude "73/0 Unit"

will increase.a. In research carried out by "death et al., 2005," the same result is obtained.

As a result of the second hypothesis

Positive relationship between role clarity and commitment to organizational policies.

According to the results of standardized regression coefficient gamma They are the second hypothesis «GAMA» for transparency is the role of "39/0" value and

«t» to "72/3" My¬ is. This means that transparency plays a positive impact on policies and commitment to transparency in increments of one of commitment to policies on employees "39/0 Unit" will increase. They are, therefore, concluded Vazh¬Tr and clearer understanding of the role and responsibilities of employees in the organization and relationship with the rest of the organization know the job and most of his others committed to realizing the goals of the team and finally policies will be organized. In research carried out by "death et al., 2005," the same result is obtained.

Conclusion

According to the studies conducted to test the effects in this study it was found Which can positive attitude and role clarity on policies affecting employees and its commitment to increase But the conflict is not and can not communicate with the obligation of policies through political commitment to increase or decrease. in fact, better organizational citizenship is political commitment is dumped.

REFERENCE

1- "E-Commerce and Development report 2002", E-Insurance, UNCTAD, 2002.

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2- Ahmad, Ali(2006); “Policies & Regulations for Expanding E-Banking to the Poor”, The First Micro Finance Bank Ltd, Pakistan May, available [online], ww.bwtp.org/arcm/documents/Policies%20%20Regulation%20for %20e-Bank.pdf

3- Akinci, S., Aksoy, S. and Atilgan, E.(2004); “Adoption of Internet Banking among Sophisticated Consumer Segments in an Advanced Developing Country”, International Journal of Bank Marketing, Vol. 22, No. 3, pp.212- 232.

4- Alam, S. S., Khatibi, A., Ahmad, M.I.S. & Ismail,H.B,(2007)." Factors affecting ecommerce adoption in the electronic manufacturing companies in Malaysia" International

Journal of Commerce and Management, 17(1/2), 125-139.

5- Alsajjan, B. & Dennis, C.(2010). “Internet banking acceptance model: Cross- market examination”, Journal of Business Research, 63, pp.957-963. Amazon.com.

6- Babin, B. J, Darden, W. R. & Griffin, M.(1994). “Work and/or fun: Measuring hedonic and utilitarian shopping value”, Journal of Consumer Research, 20(4), pp.639, 644-651, 659, 661

7- Bhattacherjee, A.(2002); “Individual Trust in Online Firms: Scale Development and Initial Test”, Journal of Management and Information Systems, Vol. 19, No. 1, pp.

211-241.

8- Bluefire security technology, "Mobile Insecurity: A Practical Guide to Threats and Vulnerabilities", January 2003.

9- Buellingen, F., Woerter, M., Development perspective, firm strategies and application in mobile commerce, Journal of Business Research 57(2004) 1402-1408.

10- Carol, X. O. & Choon, L. S.(2010). “Consumer trust and distrust: An issue of website design”, International Journal of Human-Computer Studies, 68(12), pp.913-934.

11- Chang, Hsin Hsin(2010); “Task-Technology Fit and User Acceptance of Online Auction”, International Journal of Human-Computer Studies, Vol. 68, No. 1-2, pp. 69-89.

12- Chang, I., Hwang, H., David C., Huang, H.(2006); “An Empirical Study of the Factors Affecting Internet Security for the Financial Industry in Taiwan”, Telematics and Informatics, Vol. 23, pp. 343–364.

13- Chari, S. Kermani, p. Smith, S. and Tassulas, L.(2001),”Security Issues in M- Commerce: A usage- Based Taxonomy” Available in www.cs.dartmouth.edu/ sws/ papers/

ckst. pdf.

(8)

14- Chong, A. Y. L,(2013)."A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption", Expert Systems

with Applications, 40, 1240-1247.

15- Chou, Y., Lee, C., Chung, J., Understanding m-commerce payment systems through the analytical hierarchy process, Journal of Business Research 57(2004) 1423- 1430

16- Chul Gu, Ja(2009); “Determinants of behavioral intention to mobile banking”, Expert Systems with Applications, Vol.36, pp. 11605–11616.

17- Claessens, J., Dem, V., De Cock, D., Preneel, B., Vandewalle, J.(2002); “On the Security of Today’s Online Electronic Banking Systems”, Computers & Security, Vol.

21, No 3, pp. 257-269. Communications of the ACM, 52(1), pp.130–135.

18- Davis, F.d., Bagozzi, R.P. and Warshaw P.R.(1989). "user acceptance of computer technology:a comparison of two theoretical models", Management Science, Vol. 35, No.

8, PP 982-1003

19- Davis, F.D., Bagozzi, R.P., Warshaw, P.R,(1989); “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models”, Management Science, Vol. 35, No. 8, pp. 982-1003.

20- Dishaw, M. T. & Strong, D. M.(1999). “Extending the technology acceptance model with tasktechnology fit constructs”, Information and Management, 36(1), pp.9-21.

21- Doll, W., Hendrickson, A., and Xiandong, D.(1998)."Using Davis,s perceived usefulness and ease-of-use instruments for decision making:A confirmatory and multi- group invariance analysis, Decision Sciences, Vol. 29, No. 4, PP 839-869

22- Dr.M.Mahmoudi Maymand /E-Commerce(Concept, Developing a Strategy ,Frameworks, …)/2005 / P: 22 -38 .

23- Elahi, Shaban, Ali Shayan, Behnam Abdi(2007); “E-Banking and Managerial Challenges: Change Management”, First Annual Summit ofE-Banking, Tehran, Iran

24- Gebauer, J. & Ginsburg, M.(2009). “Exploring the black box of task-technology fit”,

25- Gefen, D., D. Straub(2007); “The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption”, Journal of the Association for Information Systems, Vol. 1, No. 8, pp.1-28.