Role of Academic Initiatives for Technology Management at the Base of the Pyramid: Empirical Evidence From India

Author:

Banerjee Sanyka1,Patnaik Jayshree2,Bhowmick Bhaskar1,Dan P. K.1

Affiliation:

1. Rajendra Mishra School of Engineering Entrepreneurship, Indian Institute of Technology Kharagpur, Kharagpur, India

2. Department of Strategy, Jindal Global Business School, O.P. Jindal Global University, Sonipat, India

Abstract

Technological interventions are adopted in emerging economies to enable sustainable development and empower marginalized communities at the Base of the Pyramid (BoP). Emerging economies are becoming significant contributors in BoP development with the active initiatives from academia-driven organizations engaging in rural development. However, the technological development practice is fragmented and requires unified technology management practices to analyze salient features that lead to a sustainable rural transformation. This study adopts a case-study methodology and obtains primary and secondary data from two distinctive centers of an academia-born organization. The findings enfold three intrinsic characteristics of the technology development process targeted for the BoP sector: the emergence of demand-driven technology, inclusive innovation practices leading towards self-reliance and trends of sustainable green technology. The formative contribution of this research enriches the management of technologies at BoP by connecting the developer’s perspective for innovation practice inclined towards knowledge sharing, inclusiveness, empowerment and sustainable development, thus creating a roadmap for effective policy development focusing on the sustainability of BoP technologies in emerging economies.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Management of Technology and Innovation

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Determining the developer’s intentions for impactful BoP technology creation in the Indian context: an empirical approach utilizing factor analysis;2023 IEEE Global Humanitarian Technology Conference (GHTC);2023-10-12

2. Optimizing wildlife protection through a Markov model and genetic algorithms: a long-term predictive study;Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023);2023-10-09

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