Search results

This study aims to extend existing research on impact measurement (IM) in social enterprises (SEs) by capturing, comparing and contrasting perceptions of IM in SEs in Australia and India.

A qualitative methodology was used to study five cases each in India and Australia. The SEs were identified using snowball and theoretical sampling, and grounded theory was applied to analyze the data.

Emerging perceptions of IM in both countries are described according to the development of the SE, its perceived impact and IM methods and challenges. Primary differences between India and Australia lie in perceptions of impact and IM, and related tools and processes. Similarities include understanding the importance of IM and the challenges faced. Signaling theory is used to depict how some SEs use IM to signal quality to their stakeholders and how information asymmetry can be reduced by measuring and reporting on IM.

There is limited representation from developed and developing countries, and the snowball and theoretical sampling approaches used to identify SEs have limitations, including limited representation of SEs.

There is presently no standardized method of IM due to common challenges and perceived barriers. It is, therefore, important for SEs to work toward developing their own comprehensive IM methodology that is ingrained in strategy, applied on a regular basis and used to measure collective impact to increase sense of ownership and acceptability for employees and partners.

The paper brings the social entrepreneurs’ perspectives on measuring social impact while comparing these perspectives in one developing and one developed country.

The study aims to develop a hierarchical model for innovative work behaviour (IWB) that can capture the complex associations among the factors contributing to IWB within the information technology (IT) sector. To accomplish this, the authors rely on an abductive approach using a graph theoretic model, often called interpretive structural modelling (ISM).

After conducting an in-depth literature review and using the Delphi method, the authors identified 12 factors (11 enablers and IWB as an outcome). The authors collected data through the Delphi approach by sending the questionnaire to 11 experts from academia and the IT sector who have extensive experience and knowledge relevant to the study. The authors then used the ISM method to analyse the relationships among these factors and understand their driving forces.

Based on the ISM model and the Matrice d'Impacts Croisés Multiplication Appliquée à un Classement analysis, the authors have identified that inclusive leadership, proactive personality and knowledge creation ability are the variables with strong driving power but weak dependence. Conversely, IWB has strong dependence but weak driving power. These findings suggest that to foster IWB, the organisation should prioritise inclusive leadership, proactive personality and knowledge-creation ability to succeed in challenging times. The study’s findings contribute to the social exchange theory, which explains IWB in a dynamic setting. Additionally, the study helps address the significant concerns that most IT companies face during times of crisis.

The study provides valuable guidance for managers and policymakers who are grappling with the challenges of improving IWB in the IT sector. This study is particularly relevant as the industry is currently navigating an economic recession and facing intense competition from other tech companies launching new products and services.

This research holds great significance for top executives, line managers and policymakers in the IT industry. It sheds light on the relevance and importance of various factors facilitating millennials' IWB.