Exploring The Diffusion Of Innovation Among High And Low Innovative Localities

Walker, Richard M.; Avellaneda, Claudia N.; Berry, Frances Stokes

doi:10.1080/14719037.2010.501616

Cited by 98 publications

(66 citation statements)

References 43 publications

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“…Data are not time varying and are also taken from the report entitled 'Baseline measurement BAG' (BMC Consultancy and Management, 2006). 10 SIZE is a somewhat problematic measurement because larger populations selfevidently require larger organisations for service delivery (Walker et al, 2011). We therefore included z-scores of the fulltime-equivalent (FTE) employees per 1000 inhabitants (BZK, 2008b) (data comes from the Ministry of the Interior and Kingdom Relations; in Dutch: Ministerie van Binnenlandse Zaken (BZK)), the amount of money municipalities received from the municipal fund (BZK, 2008a) and the population size (Statistics Netherlands, 2011) into one reliable scale for the years 2008-2011.…”

Section: Resources Variablesmentioning

confidence: 99%

“…Little is known, however, about whether and how municipalities adopt mandated innovations. So far diffusion research at the local level has mainly concentrated on voluntary adoption of innovations (for example, Sugiyama, 2008;Hansen, 2011;Krause, 2011;Walker et al, 2011). A considerable amount of research focusing on e-government (related) innovations has also been carried out at the local level (for example, Weare et al, 1999;Moon, 2002;Norris and Moon, 2005;Ahn, 2011;Homburg et al, 2013).…”

Section: Introductionmentioning

confidence: 98%

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Mandatory innovation in a decentralised system: The adoption of an e-government innovation in Dutch municipalities

et al. 2015

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Local governments, especially in decentralised states, are increasingly performing tasks previously the responsibility of national government as well as new tasks. This research studies the conditions affecting the adoption of a mandated e-government innovation -'Basic Registration Addresses and Buildings' (BAG), in Dutch municipalities (N = 429) between 2008 and 2011. In contradiction to what theory suggested, a great deal of variation in the timing of adoption was found. The results of Event History Analysis (EHA) show that early adoption of BAG was primarily the result of a municipality's command over resources. More resourceful municipalities, that is, with better past e-government performance, that are better informed, and included in more extensive policy networks were more likely to adopt this innovation relatively early. Of the motivational factors included in our study, the degree of political alignment between the municipal council and national government proved an important factor in the timing of a municipality's adoption. This is a surprising finding, as it is an uncontroversial and technical governance innovation. This research also shows that classical diffusion explanations play a role, even in the case of a mandated innovation for which the time frame, and thus the time to learn from other governments, was relatively short.

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Section: Resources Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Mandatory innovation in a decentralised system: The adoption of an e-government innovation in Dutch municipalities

et al. 2015

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“…Another example of such classification of innovation types can be found in the work by Walker, Avellaneda and Berry (2011). Here authors identify four types of innovation (Table 8).…”

Section: Business-driven Innovation Management Innovationmentioning

confidence: 99%

“…Source: author 's adaptation from Walker, Avellaneda and Berry (2011). 4. Dichotomical classification.…”

Section: Technological Innovationsmentioning

confidence: 99%

Innovation Concepts and Typology – An Evolutionary Discussion

2013

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This paper is devoted to the analysis of evolution of innovation concepts, aspect and types. First emergence and evolution of different aspects and concepts of innovation are analysed, then the development of innovation concepts from a historical perspective and finally an overview given of types of innovation classifications developed in the literature. Surrounding this different definitions of innovation are described and analyzed in detail. The main goal of the article is to define the trend of development of innovation conceptualization and understanding over time.JEL Classification: B10, B20, O31, O32, O33, Q55

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“…Studies of organizational innovation often divide the process into three phases: (1) initiation, when the innovative idea is either generated or discovered; (2) decision, when the innovation is formally adopted; and (3) implementation, when the innovation is put into use by the organization and its staff (Walker ). Much of the empirical literature on public sector innovation examines factors that affect decisions to adopt and how those decisions diffuse across organizations (Hansen ; Jun and Weare ; Walker, Avellaneda, and Berry ). These factors include the organization, its environment, and the innovation's characteristics (Borins ; Damanpour and Schneider ; Fernandez and Wise ; Walker ).…”

mentioning

confidence: 99%

Implementation of Digital‐Era Governance: The Case of Open Data in U.S. Cities

Young

2020

Public Administration Review

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This article examines the institutional factors that influence the implementation of open data platforms in U.S. cities. Public management scholarship has argued that governance can be transformed by new information technologies that improve transparency and engagement, reduce administrative costs, and support performance management systems. However, this argument ignores key risks for administrators, as well as institutional and political obstacles that can thwart implementation. This article uses hierarchical negative binomial regression to analyze the organizational and institutional features influencing implementation in more than 1,500 departments across 60 cities. Department type and administrative capacity are strongly associated with the number of open data files available, while city‐level institutional characteristics and administrative capacity are not significant factors. Municipal demographics are also identified as a factor, suggesting a potential demand‐side influence from wealthy and technologically proficient residents. Evidence for Practice The implementation of open data policies benefits from targeted approaches at the department level rather than uniform, citywide objectives or requirements. City executive‐level positions such as chief data or information officers are not necessarily associated with successful implementation, measured by the number of open data files made available. Open data implementation involves additional administrative responsibilities and labor at the department level, so city administrators looking to expand the number and variety of data sets available through their open data platforms should devote time and resources to working directly with departments to facilitate and encourage data sharing. Administrators looking to expand the number and variety of data sets available through their open data platforms should consider the costs associated with investing in increasing individual departments’ abilities to balance the additional administrative responsibilities and labor involved.

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Exploring The Diffusion Of Innovation Among High And Low Innovative Localities

Cited by 98 publications

References 43 publications

Mandatory innovation in a decentralised system: The adoption of an e-government innovation in Dutch municipalities

Mandatory innovation in a decentralised system: The adoption of an e-government innovation in Dutch municipalities

Innovation Concepts and Typology – An Evolutionary Discussion

Implementation of Digital‐Era Governance: The Case of Open Data in U.S. Cities

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