Asking chatgpt to derive a research proposal based on an academic article: a supply chain example 1. [Supply chain and procurement-related]
The following is a record of my request to chatgpt to derive a research proposal based on an academic article: a supply chain example 1. The name of the article is: "Consumer reaction to environmentally irresponsible sourcing practices: an intentionality and motive perspective".
My question is: "Please derive a research proposal from the attached article, indicating the proposal title, the research background, its research objectives, an overall research methodology, some concepts and theories to use from the preliminary literature review. Tks."
The reply from chatgpt is : "Research Proposal
Title
Consumer Reactions to Environmentally Irresponsible Sourcing Practices: A Study on Intentionality and Motive
Research Background
Environmental sourcing has become a significant concern for consumers, businesses, and stakeholders alike. With increasing media scrutiny over environmentally irresponsible sourcing practices, consumers are more likely to evaluate products based not only on their attributes but also on the ethical implications of how those products are sourced. This research builds on the findings of Mukandwal et al. (2024), which demonstrate that consumers react negatively to firms that prioritize profit motives over responsible sourcing practices. Understanding the nuances of consumer reactions, especially regarding a firm’s intentionality and motives behind sourcing decisions, can provide valuable insights for businesses aiming to improve their environmental accountability and consumer trust.
Research Objectives
To explore how consumer perceptions of environmental risk are influenced by a firm’s intentionality in sourcing from irresponsible suppliers.
To investigate the impact of profit-driven versus market-related motives on consumer reactions to environmentally irresponsible sourcing practices.
To assess the effectiveness of different corrective action strategies (mandatory vs. voluntary) in mitigating negative consumer perceptions.
To develop a theoretical framework that integrates signaling theory with consumer ethics to explain consumer reactions to environmental sourcing practices.
Overall Research Methodology
The research will employ a mixed-methods approach, incorporating both quantitative and qualitative methodologies:
Quantitative Phase:
Vignette-Based Experiments: Conduct two online experiments to manipulate and measure consumer perceptions based on intentionality and motive. Participants will be presented with scenarios describing a firm’s sourcing practices and asked to evaluate the environmental risk associated with a product.
Surveys: Utilize structured questionnaires to gather data on consumer attitudes towards environmentally irresponsible sourcing, including their willingness to purchase based on perceived risk.
Qualitative Phase:
Focus Groups: Conduct focus group discussions to gain deeper insights into consumer attitudes and beliefs regarding environmental sourcing practices and corrective actions.
Interviews: In-depth interviews with industry stakeholders to understand the implications of consumer reactions on business practices.
Concepts and Theories from Preliminary Literature Review
Signaling Theory: This theory will serve as the foundation for understanding how firms communicate their intentions and motives to consumers, shaping perceptions of environmental responsibility.
Consumer Ethics: Examining how ethical beliefs influence consumer behavior regarding environmentally sourced products will provide a framework for understanding consumer responses.
Corrective Action Strategies: The effectiveness of mandatory versus voluntary corrective actions will be analyzed, drawing from environmental management literature.
Perception of Risk: Exploring how perceived environmental risk influences purchasing decisions will be essential in understanding consumer behavior.
This research proposal aims to contribute to the growing field of sustainable supply chain management by providing actionable insights for firms seeking to align their sourcing practices with consumer expectations and ethical standards."
Reference: a collection of blog notes on using chatgpt for research purpose.
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