This article explores the impact of green manufacturing practices, disentangled in green activities, green investments, and the type of product made, on the economic performance of firms. Using survey data collected by European Commission from European small‐ and medium‐sized enterprises (SMEs), we adopt the self‐determination theory to investigate the extent to which the number of green activities, green investments, and type of product made affects a firm's economic performance. We argue that consumers are affected by firms' green manufacturing practices in response to the pressing environmental issues affecting our era. Our results reveal that while the number of green activities has a positive effect on economic performance, the amount of green manufacturing investments has an inverted U‐shaped relationship to economic performance and that this effect is positively moderated if a company also sells non‐green products. Our study contributes to the literature on green manufacturing by dissecting the effect of green manufacturing practices on a company's economic performance. Our findings also provide managers with advice on the right balance of green practices that most benefit their companies.

Citizen science (CS), that is, the involvement of citizens in data collection or analysis for research projects, is becoming more widespread. This is due to the increasing digitalization of the general public and due to the increasing number of grand challenges that society is facing. Thanks to the contributions of common citizens in data collection and data analysis conducted through technology‐mediated interactions, CS can produce a number of benefits for researchers, public organizations, policymakers, citizens, and society as a whole. Given the high density of socio‐economic activities in cities, CS can be implemented in a particularly effective way in urban environments to help tackle many “grand challenges”, namely, the pressing environmental and social issues that societies are facing at present. However, CS still has untapped potential to be explored. Indeed, we contend that even though CS involves citizens for precisely defined scientific objectives, the interaction that occurs can also be leveraged to collect data beyond the original aim, thereby producing big data (BD). Through a multiple case studies analysis, we highlight how CS can be used to collect BD as well, which can be a valuable resource for researchers, public organizations, and policymakers. With this aim in mind, this study proposes the definition of a citizen‐sourcing framework that jointly employs CS and BD, and it highlights which processes can be implemented to favor the sustainable development of urban environments. Moreover, we also discuss the looming dangers associated with citizen‐sourcing as a result of technology‐mediated interactions and the use of digital technologies, and we highlight possible future developments.