Twinning as an innovative practice in public administration: An example from the Netherlands

ABSTRACTThe purpose of this article is to assess twinning as an innovative experiment in interagency collaboration. We do this by describing the twinning of two Dutch governmental agencies, the Immigration and Naturalisation Service (IND) and the Social Insurance Bank (SVB). We focus on the rationale behind this partnership and the activities undertaken and evaluate the twinning using two different frameworks, a means-ends approach and a multiple process model. By doing so we not only assess whether the twinning of IND and SVB can be seen as an innovative experiment in interagency collaboration but also how such practices can best be evaluated.Key words: Interagency collaboration, twinning, evaluation.Introduction: collaboration as a challengeOver the last ten years or so, judged by the vast number of academic and practical books and magazine and journal articles published on the subject, collaboration between organizations has become a key issue in both the commercial and public sector. As resources are scarce and the action autonomy of any individual actor limited at best, alliances and networks become increasingly important for the success and, ultimately, the survival of any organization.In both the public and the private sectors, organizations hope to achieve innovation and synergy by working together across their boundaries. Enterprises collaborate to develop new products, open up markets, share risks, make investments and develop knowledge (Barringer & Harrison, 2000; Doz, 1996; Reuer, 2004). Public agencies form alliances and networks to provide better services to clients with complex problems and to achieve a joint effort in tackling wicked social problems. Collaboration is also used as a tool to open up bureaucratic organizations and to let them learn from more successful ones (Bason, 2010; De Ridder, 2007; O'Leary & Blomgren Bingham, 2009; Yoshino, 1996).Collaboration is widely used as a buzzword today, but some critical work has been published (cf. Lotia & Hardy, 2008). Organizations trying to cooperate with each other often find this a challenging enterprise. The time and money cost of organizing cooperation often seem to be the main constraint in the private sector. Not surprisingly most collaboration initiatives fail in the commercial world: according to Darby (2006) up to 70% of partnerships do not deliver on their promises, a truly staggering percentage.In the public sector, collaboration often is difficult due to the fragmented nature of government as a result of the shortcomings of both traditional bureaucracy and New Public Management (NPM). Traditional bureaucracy, with its focus on functional differentiation, often impedes collaboration as it leads to departmentalism and the creation of silos or stovepipes. New Public Management practices are equally prone to hampering collaboration, as NPM's focus on performance tends to favour competition rather than cooperation (Christensen & Lae greid, 2007; Head & Alford, 2008).In order to unlock collaboration's promises and to overcome its difficulties, organizations in the public and the private sector are on the lookout for new, innovative practices which help them overcome the challenges of collaboration. We discuss one such practice in this paper, the twinning between two Dutch agencies, the Immigration and Naturalisation Service (IND1) and the Social Insurance Bank (SVB2). We describe the rationale behind this partnership and the activities to which it led and follow this by an evaluation using two different frameworks: a means-ends approach and a multiple process model. By doing so, we not only discuss whether the twinning we describe can be seen as an innovative practice but also how experimental forms of collaboration could best be assessed.MethodThis article is based on an action research project (Lewin, 1946; Argyris, Putnam & Smith, 1985; Stringer, 2007) we conducted at the behest of IND and SVB during the entire course of their twinning. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.