This paper presents a survey to identify and rank the supply chain management factors influencing the quality of the products for small and medium enterprises (SMEs) in food industry. The study designs a questionnaire in Likert scale and distributes it among 238 randomly selected managers of SMEs in food industry in city of Tehran, Iran. Cronbach alpha is calculated as 0.851, which is well above the acceptable level. Using principle component with Varimax rotation, the study has determined four important factors including strategic management, product management, manufacturing process management, organizational resources, customer orientation, industry capacity, which influence the most on product quality improvement.
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.
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.
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.
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.
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.
In this paper, an exploration investigation is presented to determine entrepreneurial marketing factors influencing on small and medium enterprises (SMEs), which are active in Iranian food industry. The study designs a questionnaire consists of 27 questions in Likert scale and distributes it among 249 experts who were involved in in food industry. KMO Bartlett test Sphericity and Cronbach alpha are 0.811 and 0.892, respectively. Using structural equation modeling, the study has determined five factors including innovative approach, flexible marketing, customer, product strategy and resources, which are influencing the most on entrepreneurial marketing factors.
Developing a national brand is one of the most important issues for development of a brand. In this study, we present factor analysis to detect the most important factors in building a national brand. The proposed study uses factor analysis to extract the most influencing factors and the sample size has been chosen from two major auto makers in Iran called Iran Khodro and Saipa. The questionnaire was designed in Likert scale and distributed among 235 experts. Cronbach alpha is calculated as 84%, which is well above the minimum desirable limit of 0.70. The implementation of factor analysis provides six factors including “cultural image of customers”, “exciting characteristics”, “competitive pricing strategies”, “perception image” and “previous perceptions”.
The present exploratory study aims to find critical components of retail brand among some retail stores. The study seeks to build a brand name in retail level and looks to find important factors affecting it. Customer behavior is largely influenced when the first retail customer experience is formed. These factors have direct impacts on customer experience and satisfaction in retail industry. The proposed study performs an empirical investigation on two well-known retain stores located in city of Tehran, Iran. Using a sample of 265 people from regular customers, the study uses factor analysis and extracts four main factors including related brand, product benefits, customer welfare strategy and corporate profits using the existing 31 factors in the literature.
Selecting a product development strategy that is associated with the company & apos; s current service or product innovation, based on customers’ needs and changing environment, plays an important role in increasing demand, increasing market share, increasing sales and profits. Therefore, it is important to extract effective variables associated with product development to improve performance measurement of firms. This paper investigates important factors influencing product development strategies using factor analysis. The proposed model of this paper investigates 36 factors and, using factor analysis, we extract six most influential factors including information sharing, intelligence information, exposure strategy, differentiation, research and development strategy and market survey. The first strategy, partnership, includes five sub-factor including product development partnership, partnership with foreign firms, customers’ perception from competitors’ products, Customer involvement in product development, inter-agency coordination, customer-oriented approach to innovation and transmission of product development change where inter-agency coordination has been considered the most important factor. Internal strengths are the most influential factors impacting the second strategy, intelligence information. The third factor, introducing strategy, introducing strategy, includes four sub criteria and consumer buying behavior is the most influencing factor. Differentiation is the next important factor with five components where knowledge and expertise in product innovation is the most important one. Research and development strategy with four sub-criteria where reducing product development cycle plays the most influential factor and finally, market survey strategy is the last important factor with three factors and finding new market plays the most important role.