نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دانشگاه سیستان و بلوچستان
2 دانشیار، گروه مدیریت دولتی، دانشکده اقتصاد و علوم اداری ، دانشگاه سیستان و بلوچستان، زاهدان، ایران.
چکیده
عنوان مقاله [English]
نویسندگان [English]
In a world where accelerated digitalization and the rise of algorithmic decision-making tools are transforming governance structures, identifying the core dimensions of future governance and developing an integrated framework for innovative policymaking has become essential.
Objective: This study aims to provide a systematic account of the interaction among algorithmic governance, innovation ecosystems, and digital crowdsourcing, and to elucidate the models adopted by leading European countries to inform governance transformation.
Method: The research is applied in purpose, qualitative in approach, and descriptive–analytical in nature. A systematic review of documents and scholarly literature was conducted, drawing on a targeted set of peer-reviewed articles, European policy reports, and official digital governance documents from Estonia, Finland, and the Netherlands. The collected data were analyzed using comparative analysis and thematic analysis.
Findings: The results show that each country demonstrates a distinct trajectory in shaping future governance: Estonia advances a data-driven, infrastructure-oriented model; Finland employs a reflective and participation-centered approach; and the Netherlands adopts a rights-based model grounded in institutional accountability. Comparative analysis of the three core dimensions—algorithmic governance, innovation ecosystems, and digital crowdsourcing—demonstrates that their synergy enhances adaptive policymaking, strengthens the legitimacy of decisions, and improves institutional learning capacities.
Conclusion: By elucidating the mechanisms through which these three elements interact, the study proposes an integrated framework for conceptualizing future governance. Beyond documenting the experiences of advanced digital states, this framework offers insights for countries undergoing digital transformation. The analytical structure further provides a foundation for expanding policy debates in contexts such as Iran, where efforts to develop innovative and effective governance models are increasingly prioritized.
)