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This research serves to determine causal configurations of corporate social responsibility (CSR) conditions that best influences grassroots football club stakeholders to meet a sponsor's goals through promotional activity.

The research uses a case study of the Essex Alliance League, a local amateur football league in England. Firstly, semi-structured interviews were held with multiple stakeholders to understand the ecosystem of grassroots football. From here, further semi-structured interviews were held with club sponsors to identify the conditions of CSR. This allowed the research to then issue a survey from which results were analysed and discussed using fuzzy set Qualitative Comparative Analysis (fsQCA).

The ecosystem of grassroots football is formed by a myriad of stakeholders operating at a national level, all the way to more local governance structures within which the business-club relationship exists. Sponsors identified three main conditions of CSR: shared values, self-congruity, and happiness. However, following fsQCA, two pathways were found: (1) presence of shared values, and (2) presence of happiness with the absence of self-congruity.

For practitioners, adaptations can be made for clubs to attract and maintain sponsorship as businesses seek to use grassroots sport as a channel for their own CSR objectives. To attract long term sponsorship, club managers are recommended to maintain long-term relationships with business owners especially in relation to personal values, fit, and happiness. As such, the responsibility of the club to ensure its stakeholders engage in promotional activity on behalf of their sponsor will help in maximising the financial value over multiple seasons.

Where fertile ground for academic analysis in grassroots football is present, this research investigates CSR activity at this level of football, where most research is more concerned with professional levels of the game. Furthermore, this research reaches into the sport ecosystem through an understanding of co-created values between organisations in this exchange of shared values to meet common objectives.

Taking a co-creation perspective and integrating knowledge-based and resource-based perspectives, the authors examine the role of customer participation in organizational performance and project success. The authors also investigate the mediating role of knowledge integration and the moderating role of requirement risk for these relationships in uncertain contexts.

The authors undertook two studies. The first study was carried out in 2018 in which the authors drew on survey data from 150 information technology (IT) sector employees and examined the mediating role of knowledge integration in the relationship of customer participation with organizational performance and project success. In the second study undertaken in 2020, the authors drew on data from 92 IT and telecom sector employees and examined the moderating role of requirement risk in the relationship between customer participation and knowledge integration. Study 2 was conducted during the COVID-19 pandemic when employees were largely working from home and were more sensitive to risks and uncertainty about the scope and system requirements. Both studies were survey-based, and analysis was carried out using structural equation modeling.

The authors’ two-study examination indicated that knowledge integration positively mediates the relationship of customer participation with organizational performance and project success during the co-creation process. Furthermore, the authors demonstrate that when requirement risks are high, customer participation relationship with knowledge integration is weaker.

The authors show that integrating customer knowledge is critical to project success and organizational performance. By identifying risk uncertainties and environmental contingencies, the authors highlight the constraints of customer participation for knowledge integration, organizational performance and project success. The authors provide some key study findings based on survey data obtained from project teams during two periods (normal and pandemic).