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Article
Publication date: 21 March 2024

Keshav Krishnamurty

This paper aims to study the origin story of Harvard Business School’s involvement with the Indian Institute of Management Ahmedabad to study the reasons for the spread of…

Abstract

Purpose

This paper aims to study the origin story of Harvard Business School’s involvement with the Indian Institute of Management Ahmedabad to study the reasons for the spread of American management education. It introduces both the explicit influence of Cold War politics and Indian development imaginaries to the export of American management thought in the early 1960s.

Design/methodology/approach

This paper relies on archival research for its primary source material, drawing upon rich archives of documents found at the Baker Library of Harvard Business School.

Findings

Harvard’s role in Ahmedabad was explicitly influenced by the Cold War anti-communist foreign policy of the USA, but did so opportunistically and contrary to the Ford Foundation’s (FF) original plans. Vikram Sarabhai, who was a key player in the Indian national imaginary of development, invited Harvard on his own initiative and forced the foundation to follow his interests rather than being a mere “subaltern.”

Research limitations/implications

This paper could additionally add to the historical debate about the scope and periodization of the Cold War and the role of non-state actors.

Originality/value

This paper covers new ground in exploring the early connection between the Indian development imaginary and business education. It concludes that the export of hegemonic US management education was not successful during Cold War, and the FF was not as dominant as it was made out to be.

Details

Journal of Management History, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1751-1348

Keywords

Article
Publication date: 29 March 2024

Jiming Hu, Zexian Yang, Jiamin Wang, Wei Qian, Cunwan Feng and Wei Lu

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the…

Abstract

Purpose

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

Design/methodology/approach

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Findings

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

Research limitations/implications

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Practical implications

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

Social implications

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

Originality/value

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

Keywords

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