help to write research proposal on Impact of ERP Service Quality towards Customer Satisfaction IT park with the following details: Introduction including abroad indication of the research, literature review, research approaches, Research design and methodology, methods of data collection, method of analysis, significance, limitation of study, research problem and research questions.
The adoption of Enterprise Resource Planning (ERP) systems has become increasingly prevalent in organizations, including those operating in IT parks. ERP systems integrate various business processes and enhance operational efficiency. One critical factor influencing ERP system success is the quality of services offered to customers. This research aims to investigate the impact of ERP service quality on customer satisfaction within an IT park context.
The literature review will explore relevant academic articles, journals, and reports that discuss ERP service quality and its relationship with customer satisfaction. Previous studies on ERP implementation, service quality, and customer satisfaction in the IT park environment will be analyzed to identify gaps and highlight important findings.
This research will employ a quantitative approach to gather numerical data that can be analyzed statistically. A survey questionnaire will be administered to employees and users of ERP systems in various companies within the IT park. The data collected will be utilized to assess the relationship between ERP service quality and customer satisfaction.
The research design will be cross-sectional, allowing data to be collected at a specific point in time. The survey will use a structured questionnaire with a Likert scale to gauge respondents’ perceptions regarding ERP service quality and customer satisfaction.
Primary data will be collected through a self-administered survey. Participants will be approached in person or electronically, depending on the feasibility and preferences of the respondents. The survey will be designed to ensure anonymity and encourage honest responses.
The collected data will be analyzed using appropriate statistical methods. Descriptive statistics, such as mean, standard deviation, and frequency distribution, will be employed to summarize the survey responses. Furthermore, regression analysis will be used to determine the strength and direction of the relationship between ERP service quality and customer satisfaction.
This research is expected to contribute to both academia and industry. By understanding the impact of ERP service quality on customer satisfaction in the unique context of an IT park, it can help IT park management and ERP vendors improve their services. Additionally, the findings will contribute to the existing body of knowledge on ERP systems and customer satisfaction, benefiting researchers and scholars in related fields.
Several limitations are anticipated in this research. Firstly, the study’s scope may be restricted due to the specific context of the IT park, and generalizing the results to other settings should be done cautiously. Secondly, the survey method may be susceptible to response bias. Lastly, the research’s cross-sectional design may hinder the establishment of causal relationships.
Research Problem: The research aims to explore the impact of ERP service quality on customer satisfaction in the context of an IT park.
Research Questions:
1. To what extent does ERP service quality influence customer satisfaction in IT park companies?
2. What are the main dimensions of ERP service quality that significantly affect customer satisfaction?
3. Are there differences in perceptions of ERP service quality and customer satisfaction between various IT park companies?
In conclusion, this research proposal outlines a study to investigate the relationship between ERP service quality and customer satisfaction in an IT park setting. Through a quantitative approach, data will be collected and analyzed to provide valuable insights into the critical role of ERP service quality in enhancing customer satisfaction. The research findings will have practical implications for IT park management and ERP vendors while contributing to the academic understanding of ERP systems and customer satisfaction.
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