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Social Tech Venturing: Metadata and Documentation, 2023-2024
Creator
Hampel, C, Imperial College London
Berjani, D, Imperial College London
Perkmann, M, Imperial College London
Study number / PID
857641 (UKDA)
10.5255/UKDA-SN-857641 (DOI)
Data access
Information not available
Series
Not available
Abstract
Social tech ventures, which combine technological innovation and commercial trade to address social challenges, hold immense promise for creating scalable, cost-effective solutions to pressing global social problems. Despite their potential, research on social tech ventures remains nascent, particularly concerning how these ventures develop, scale, pivot, and manage mission drift. Existing studies primarily focus on non-tech social ventures or commercial ventures, leaving critical gaps in understanding the unique dynamics and developmental processes of social tech ventures.
This project explored how social tech venturing unfolds. It focused on how social tech firms develop their mission, as well as how they develop their commercial and social elements as they evolve. It aimed to uncover how they adapt over time and when the market environment changes.
Due to ethical concerns the data cannot be shared, but the interview protocols are made available.The world is facing many social problems. Social entrepreneurship offers the promise to be an important tool in the fight against them. Social tech ventures, which leverage technology and trade commercially to address social problems, are particularly promising in this regard: by offering technologically-mediated solutions to social problems, they have the potential to help a larger number of beneficiaries at lower costs than their non-tech counterparts.
Existing research about social entrepreneurship has shown that social ventures need to carefully combine the two aspects that are at the core of their hybrid nature: i.e., their social and commercial elements. In addition, research has found important ways by which social ventures can deal with this challenge, such as by integrating these two elements in the organization or segregating them in different parts of it.
Despite its strong merits in recent years, this literature overlooks how the distinct type of social tech ventures develop to deliver their mission at...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/01/2023 - 30/11/2024
Country
United Kingdom
Time dimension
Not available
Analysis unit
Organization
Universe
Not available
Sampling procedure
Not available
Kind of data
Text
Data collection mode
We conducted a qualitative, inductive study that draws on the principles of grounded theory. We conducted three rounds of semi-structured interviews with a social tech firm.
Funding information
Grant number
ES/W012219/1
Access
Publisher
UK Data Service
Publication year
2025
Terms of data access
The Data Collection only consists of metadata and documentation as the data could not be archived due to legal, ethical or commercial constraints. For further information, please contact the contact person for this data collection.