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21.

An exploration study to find important factors influencing on enterprise resource planning Pages 2405-2410 Download PDF

Authors: Naser Azad, Atieh Shadmanfard, Seyed Foad Zarifi

DOI: 10.5267/j.msl.2013.08.027

Keywords: Enterprise resource planning, Factor analysis, Iran Khodro

Abstract:

Enterprise resource planning (ERP) has become a necessary in many organizations and many business units have been trying to emerge into an integrated system. There are many advantages on having an efficient ERP but many corporations fail to reach a full operational ERP for many reasons. In this paper, we present an empirical investigation to find important factors influencing ERP implementation in one of the biggest Iranian automakers named Iran Khodro. The proposed study designs a questionnaire in Likert scale consists of 46 questions, distributes it among some managers in this firm. Cronbach alpha is calculated as 0.802. In addition, Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Approx. Chi-Square are 0.788 and 1677.307, respectively. Based on the results of our survey, we have derived eight factors including intelligence information, customer comfort, structure oriented, resource management, process oriented, customer oriented, flexible structure and knowledge management.

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22.

An exploration study to find important factors influencing on brand identification Pages 2425-2430 Download PDF

Authors: Naser Azad, Daryoush Raoof, Shabnam Haj Seyed Javadi, Hamed Asgari, Hamid Bagheri

DOI: 10.5267/j.msl.2013.08.023

Keywords: Brand identification, Brand image, Factor analysis

Abstract:

Building a famous brand often makes it possible to have sustainable growth in competitive market. A good brand name plays an important role on increasing word of mouth advertisement, the number of loyal customers and repurchase habits. However, in order to build a good brand, we need to create sustainable brand identification and to do this we need to determine influential factors. This paper presents an empirical investigation to find important factors influencing brand identification. The proposed study designs a questionnaire in Likert scale consists of 23 questions, distributes it among 400 people who purchase regularly from hyperstar and collects 400 filled ones. Cronbach alpha is calculated as 0.735. In addition, Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Approx. Chi-Square are 0.784 and 2300.022, respectively. Based on the results of our survey, we have derived five factors including sense of brand, brand community, trust to brand, value of brand and personality of brand.

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23.

An exploration study to find important factors in market entrance: A case study of truck industry Pages 2455-2460 Download PDF

Authors: Zoheir Khodamoradi, Naser Azad, Seyed Mohsen Seyed Aliakbar

DOI: 10.5267/j.msl.2013.08.019

Keywords: Adaptation industry, Entering the market, Factor analysis, Truck industry

Abstract:

This paper presents an empirical investigation to find important factors influencing market penetration in truck industry. The proposed study designs a questionnaire in Likert scale consists of 51 questions, distributes it among 300 people who worked for different truck industry related units and collects 262 filled ones. Cronbach alpha is calculated as 0.89. In addition, Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Approx. Chi-Square are 0.845 and 3067.443, respectively. The study has implemented principal component analysis and the results have indicated that there were eight factors influencing entering truck making industry including adaptation strategies, new ideas, cost competitiveness, product capabilities, market characteristics, competition threats from external market environment and export accelerators.

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24.

An exploration study to find important factors influencing on expert systems Pages 2473-2478 Download PDF

Authors: Naser Azad, Mohammad Teymouri, Reyhaneh Malekzadeh, Seyed Foad Zarifi

DOI: 10.5267/j.msl.2013.08.016

Keywords: Expert systems, Factor analysis, Intelligence system, Knowledge management, Neural network

Abstract:

Knowledge management plays an important role in modern management systems since many existing systems move towards learning organizations. Expert systems, on the other hand, are considered as the most popular techniques for adapting recent developments on knowledge management. This paper presents an empirical investigation to find important factors influencing adaptation of expert systems. The proposed study designs a questionnaire in Likert scale consists of 25 questions, distributes it among 258 people who have recently graduated from computer science and they are familiar with implementation of expert systems. Cronbach alpha is calculated as 0.730 and Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Approx. Chi-Square are 0.748 and 1377.397, respectively. The study has implemented principal component analysis and the results have indicated that there were four factors influencing expert systems including systems management, intelligence systems, system analysis and specialized analysis.

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25.

An exploration study to find important factors influencing on decision support systems Pages 2517-2520 Download PDF

Authors: Naser Azad, Mohammad Sadeghi, Seyed Foad Zarifi, Mohammad Reza Farkian

DOI: 10.5267/j.msl.2013.08.024

Keywords: Decision support systems, Factor analysis, Municipality

Abstract:

Decision Support Systems (DSSs) are computer-based information systems for providing necessary supports for business or organizational decision-making activities. DSSs often serve the management, operations, and planning levels of all organizations and help to make decisions, which may be rapidly changing and not easily achieved in advance. This paper presents an empirical investigation to find important factors influencing DSSs. The proposed study designs a questionnaire in Likert scale consists of 36 questions, distributes it among 213 employees who work for different offices in municipality of Tehran, Iran. Cronbach alpha is calculated as 0.872. In addition, Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Approx. Chi-Square are 0.782 and 1014.521, respectively. Based on the results of our survey, we have derived three factors including system, analysis and transaction.

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26.

An exploration study to find important factors influencing on social marketing Pages 2531-2536 Download PDF

Authors: Naser Azad, Mozhgan Pazouki, Somayeh Hozouri

DOI: 10.5267/j.msl.2013.08.033

Keywords: Marketing, Purchase behavior, Social marketing

Abstract:

Social marketing plays essential role on accessing better market share. It normally costs less than other marketing techniques and provides better way for market exposure. In this paper, we present an empirical study to detect important factors influencing social marketing in one of well-known providers of university entrance pre-test. The proposed study designs a questionnaire in Likert scale consists of 16 questions, distributes it among some students who use this kind of services. Cronbach alpha is calculated as 0.926. In addition, Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Approx. Chi-Square are 0.882 and 2219.3, respectively. Based on the results of our survey, we have derived two factors including marketing drivers and feasibility study.

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27.

A study to determine influential factors on product positioning Pages 2229-2234 Download PDF

Authors: Naser Azad, Neda Abbasi, Seyed Foad Zarifi

Keywords: Product positioning, Factor analysis, Food industry

Abstract:

Product positioning plays an important role on business development especially in food industry. In this paper, we perform an exploration study to find important factors influencing product positioning in Iranian food industry. The study designs a questionnaire in Likert scale and distributes it among 260 randomly selected people from food industry. Cronbach alpha has been calculated as 0.86 in preliminary stage and final 0.697 in final stage, which are statistically acceptable. The study uses factor analysis to find important factors and detects six important factors including marketing organization, market analysis, past perception strategy, product presentation, brand loyalty and dynamic organizational structure.

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28.

A study to determine influential factors on implementation of management information system Pages 2235-2240 Download PDF

Authors: Naser Azad, Tahereh Zamani, Seyed Foad Zarifi

Keywords: Banking industry, Factor analysis, MIS

Abstract:

Management information system (MIS) plays an important role on sharing necessary information within organization. In this paper, we study to find out important factors influencing the implementation of MIS in banking industry. The study designs a questionnaire in Likert scale and distributes it among 253 randomly selected people. Cronbach alpha has been calculated as 0.82, which is within an acceptable limit. The study uses factor analysis to find important factors and detects six important factors including fear of technology, organizational instability, informal groups, cultural factors, organizational development and understanding that change is always good.

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29.

A study on how CRM influences marketing planning in telecommunication industry Pages 2323-2326 Download PDF

Authors: Naser Azad, Kayvan Darabi

Keywords: CRM, Efficiency, Telecommunication industry

Abstract:

Customer relationship management (CRM) plays an important role on marketing planning. In this paper, we re-examine the effect of having efficient CRM on efficiency of a telecommunication company. The proposed study considers three hypotheses. The first hypothesis examines whether implementation of CRM could improve customer’s perception in terms of customer retention, satisfaction, loyalty and awareness. The second hypothesis examines whether implementation of CRM influences on market performance in terms of reduction on customer complaints, quality improvement, improving customer perception, access to services and increase in market share. Finally, the third hypothesis considers the effect of CRM on financial figures in terms of sales growth, profit growth, earnings per share and productivity. The results of our survey have confirmed the first hypothesis and rejected the third hypothesis. In other words, while CRM improves customer perception it does not influence financial figures in most cases (P & LT; 0.01).

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30.

An exploration study to find important factors influencing on brand in car accessory market Pages 2361-2366 Download PDF

Authors: Naser Azad, Seyed Mohsen Seyed Aliakbar, Majid Tavassoli, Mohammad Reza Jafar Zadeh

Keywords: Brand image, Car accessory, Factor analysis

Abstract:

Supplying car accessory is one of the most important growing industries in the world. Every year, millions of cars are produced and people need to have the access to necessary car accessory. In this paper, we present an exploration study to detect important factors influencing car accessory market. The proposed study designs a questionnaire in Likert scale consists of 16 questions, distributes it among 200 experts and analyses it using factor analysis. Cronbach alpha and Kaiser-Meyer-Olkin Measure of Sampling Adequacy are calculated as 0.823 and 0.863, which validate the overall questionnaire. The results indicate that there are three influencing factors including brand capability, brand characteristics and consumers’ believe.

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