Factors Influencing Customers’ Perception towards Online Shopping

Table of Contents

• Introduction
  • Overview
  • Objectives of the study
  • Scope of the study
• Review of Literature
• Research Methodology
  • Type of Research
  • Sampling Unit
  • Sampling Technique
  • Questionnaire Design
  • Data Collection Sources
  • Plan for Data Analysis
• Data Analysis and Interpretation
  • Factor Analysis
  • Net promoter score
• Conclusion
• Findings
• Limitations
• Future Directions

Objectives and Key Themes

The main objective of this research paper is to determine the factors influencing consumer perception towards online shopping in India. The study aims to understand customer perceptions and identify key factors affecting their online shopping behavior.

• Factors influencing consumer perception of online shopping
• Analysis of customer attitudes towards online shopping
• Identification of key factors affecting online shopping behavior
• Evaluation of the relative importance of different factors
• Implications for businesses seeking to improve online customer experience

Chapter Summaries

Introduction: This chapter provides an overview of online shopping's growing popularity in India and its convenience for busy consumers. It highlights the vast product assortment and easy price/quality comparisons available online. The chapter clearly states the paper's purpose: to identify the factors influencing consumer perception towards online shopping.

Review of Literature: This chapter would delve into existing research and literature on consumer behavior in online shopping contexts. It would likely cover previous studies on factors impacting online purchase decisions, exploring themes like trust, security, convenience, and customer service. The synthesis of prior research would provide a strong foundation for the current study's methodology and expected findings.

Research Methodology: This chapter details the quantitative research design employed, which is descriptive and exploratory in nature. It describes the use of a Likert scale questionnaire with closed-ended questions, administered to 154 respondents over eight weeks. The data collection methods (direct contact and mail) and the statistical analysis plan using IBM SPSS 20.0 for factor analysis are thoroughly explained.

Data Analysis and Interpretation: This chapter presents the results of the factor analysis conducted on the collected data. It explains how the initial 30 variables were reduced to five key factors. The chapter would likely present statistical findings regarding the relative importance of each factor (e.g., customer service, convenience, experience, value-added services, and product-related information) in shaping consumer perceptions of online shopping. The analysis of the Net Promoter Score (NPS) would also be included here, offering insights into overall customer satisfaction.

Keywords

Online shopping, consumer perception, customer behavior, factor analysis, Net Promoter Score (NPS), India, e-commerce, customer service, convenience, product information, value-added services, online shopping experience.

Frequently Asked Questions: Comprehensive Language Preview

What is the main objective of this research paper?

The primary goal is to determine the factors influencing consumer perception of online shopping in India and understand how these factors affect online shopping behavior.

What are the key themes explored in this research?

The study explores factors influencing consumer perception of online shopping, analyzes customer attitudes, identifies key factors affecting online shopping behavior, evaluates the relative importance of different factors, and examines implications for businesses aiming to improve online customer experience.

What is the research methodology employed?

The research uses a quantitative, descriptive, and exploratory design. A Likert scale questionnaire with closed-ended questions was administered to 154 respondents over eight weeks via direct contact and mail. Data analysis utilizes IBM SPSS 20.0 for factor analysis.

What data analysis techniques are used?

The study employs factor analysis to reduce the initial 30 variables to key factors influencing consumer perception. The Net Promoter Score (NPS) is also analyzed to assess overall customer satisfaction.

What are the key findings expected (as outlined in the chapter summaries)?

The findings will likely reveal the relative importance of factors such as customer service, convenience, experience, value-added services, and product-related information in shaping consumer perceptions of online shopping in India. The NPS analysis will provide insights into overall customer satisfaction.

What are the chapters included in the study?

The study includes chapters on Introduction (with overview, objectives, and scope), Review of Literature, Research Methodology (detailing research design, sampling, data collection, and analysis), Data Analysis and Interpretation (including factor analysis and NPS results), Conclusion, Findings, Limitations, and Future Directions.

What are the keywords associated with this research?

Online shopping, consumer perception, customer behavior, factor analysis, Net Promoter Score (NPS), India, e-commerce, customer service, convenience, product information, value-added services, online shopping experience.

What type of research is this?

This is quantitative research, specifically descriptive and exploratory in nature.

How many respondents participated in the study?

154 respondents participated in the study.

What software was used for data analysis?

IBM SPSS 20.0 was used for data analysis.