Asking chatgpt to derive a research proposal based on an academic article: an accounting example. [Accounting-related]

Asking chatgpt to derive a research proposal based on an academic article: an accounting example 1. [Accounting-related]

The following is a record of my request to chatgpt to derive a research proposal based on an academic article: an accounting example 1. The name of the article is: "Private governance responsibilisation in global supply chain: the case of Ran Plaza".

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. Lastly, briefly indicate the academic and practical value of the proposal. Tks."

The reply from chatgpt is : "Research Proposal

Title

Private Governance Responsibilisation in Global Supply Chains: Lessons from the Rana Plaza Disaster

Research Background

The Rana Plaza collapse in Bangladesh in 2013, which resulted in over 1,100 fatalities, highlighted critical governance failures in the ready-made garment (RMG) industry. This incident prompted a significant shift in the approach of multinational corporations (MNCs) toward labor governance, emphasizing the need for private sector responsibilisation in global supply chains. The interplay between state-business relations and private governance mechanisms raises important questions about the effectiveness and sustainability of these frameworks in improving labor conditions. This proposal aims to explore the evolution of private governance frameworks in the wake of the Rana Plaza disaster and assess their long-term viability.

Research Objectives

To analyze the shifts in corporate governance frameworks post-Rana Plaza and their impact on labor conditions in the RMG sector.

To examine the role of the state in facilitating or hindering private governance mechanisms.

To evaluate the effectiveness of private sector responsibilisation in addressing governance failures within global supply chains.

Research Questions

What changes occurred in corporate governance practices in the RMG sector following the Rana Plaza disaster?

How has the state-business nexus influenced the implementation and sustainability of private governance frameworks?

What are the perceptions of stakeholders (e.g., factory owners, workers, MNCs) regarding the effectiveness of private governance initiatives?

Overall Research Methodology

This research will employ a qualitative methodology, utilizing semi-structured interviews with key stakeholders in the RMG sector, including factory owners, workers, trade union leaders, and representatives from NGOs and governmental organizations. Additionally, archival data will be analyzed to complement the interview findings. The data will be examined through a flexible pattern matching design, allowing for an exploration of the emerging themes related to responsibilisation and governance.

Concepts and Theories from Preliminary Literature Review

Framing Theory: To understand how stakeholders construct and communicate their perceptions of responsibility and governance.

Political Responsibilisation Framework (Reinecke & Ansari, 2016): To analyze the mechanisms through which MNCs accept responsibility for governance issues.

Corporate Social Responsibility (CSR): To explore how CSR practices have evolved in response to governance failures.

Academic and Practical Value

This proposal contributes to the academic discourse on governance in global supply chains by providing insights into the dynamics of private sector responsibilisation. It will offer a nuanced understanding of the effectiveness of governance frameworks in improving labor conditions, especially in contexts characterized by a strong state-business nexus. Practically, the findings can inform policymakers and industry leaders about the challenges and opportunities in implementing sustainable governance practices, ultimately leading to better labor standards in the RMG sector and beyond."

Reference: a collection of blog notes on using chatgpt for research purpose.