Measuring the Promise of Open Data: Development of the Impact Monitoring Framework

Stuermer, Matthias; Dapp, Marcus M.

doi:10.1109/cedem.2016.31

Cited by 7 publications

(8 citation statements)

References 10 publications

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“…This was shown in 46 out of the 226 applied studies included in the data set. Almost half (22 papers) were focused on Anglo Saxon countries and 13 on European countries (Hirunsalee et al , 2013; Meza-Bolaños et al , 2019; Stuermer and Dapp, 2016; Tulla et al , 2020). It has been demonstrated in a variety of sectors, particularly in the health and finance sectors (Murzaliyeva et al , 2018; Moral Torres et al , 2020).…”

Section: Resultsmentioning

confidence: 99%

The social return on investment model: a systematic literature review

Corvo

Pastore

Mastrodascio

et al. 2022

MEDAR

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Purpose Social return on investment (SROI) has received increasing attention, both academically and professionally, since it was initially developed by the Roberts Enterprise Development Fund in the USA in the mid-1990s. Based on a systematic review of the literature that highlights the potential and limitations related to the academic and professional development of the SROI model, the purpose of this study is to systematize the academic debate and contribute to the future research agenda of blended value accounting. Design/methodology/approach Relying on the preferred reporting items for systematic reviews and meta-analyses approach, this study endeavors to provide reliable academic insights into the factors driving the usage of the SROI model and its further development. Findings A systematic literature review produced a final data set of 284 studies. The results reveal that despite the procedural accuracy characterizing the description of the model, bias-driven methodological implications, availability of resources and sector specificities can influence the type of approach taken by scholars and practitioners. Research limitations/implications To dispel the conceptual and practical haze, this study discusses the results found, especially regarding the potential solutions offered to overcome the SROI limitations presented, as well as offers suggestions for future research. Originality/value This study aims to fill a gap in the literature and enhance a conceptual debate on the future of accounting when it concerns a blended value proposition.

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Section: Resultsmentioning

confidence: 99%

The social return on investment model: a systematic literature review

Corvo

Pastore

Mastrodascio

et al. 2022

MEDAR

View full text Add to dashboard Cite

show abstract

“…For example, heralded as an international phenomenon, Kassen's (2013) interpretation of the term 'open data' suggests that government data should be available to anyone with a possibility of redistribution in any form without any copyright restrictions (Kassen, 2013). To this extent, there are naturally contrasting perspectives toward the perceived benefits of OGD-despite the efforts of Stuermer and Dapp (2016) to create an Impact Monitoring Framework-with several voices questioning these said benefits and positive impacts (Gurstein, 2011); (McClean, 2011); (Zuiderwijk et al, 2012); (Janssen, 2012); (Zeleti and Ojo, 2017); (Zuiderwijk et al, 2018). Yet, it is the perspective of Davies and Bawa (2012) who somewhat prophetically suggested that it was unclear how, despite the attention it had received, OGD was to play out in the national, subnational, and local community contexts.…”

mentioning

confidence: 99%

The (im)possibilities of open data?

Jamieson

Wilson

Martin

2019

Public Money & Management

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“…Importantly, the impact of OGD in the four pivotal areas named above is not an immediate result of making government data public, because OGD does not have any value in itself (Janssen et al , 2012). Instead, making an impact requires external actors to invest time and resources into working with OGD, for instance by data interlinking, visualization, analysis or interpretation (Attard et al , 2016) and by eventually producing innovation (Lakomaa and Kallberg, 2013) and other forms of impact (Stuermer and Dapp, 2016). Jetzek (2016) mentions sharing and market mechanisms as the two principal ways of generating value by means of open data.…”

Section: Open Data and Public Valuementioning

confidence: 99%

Balancing control, usability and visibility of linked open government data to create public value

Hitz-Gamper

Neumann

Stürmer

2019

IJPSM

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Linked data is a technical standard to structure complex information and relate independent sets of data. Recently, governments have started to use this technology for bridging separated data 'silos' by launching linked open government data (LOGD) portals. The purpose of this conceptual paper is to explore the role of LOGD as a smart technology and strategy to create public value. This is achieved by enhancing the usability and visibility of open data provided by public organizations. In this study, three different LOGD governance modes are deduced: public agencies could release linked data via a dedicated triple store, via a shared triple store or via an open knowledge base. Each of these modes has different effects on usability and visibility of open data. Selected case studies illustrate the actual use of these three governance modes. According to this study, LOGD governance modes present a trade-off between retaining control over governmental data and potentially gaining public value by the increased use of open data by citizens. This study provides recommendations for public sector organizations for the development of their data publishing strategy to balance control, usability and visibility considering also the growing popularity of open knowledge bases such as Wikidata.

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Measuring the Promise of Open Data: Development of the Impact Monitoring Framework

Cited by 7 publications

References 10 publications

The social return on investment model: a systematic literature review

The social return on investment model: a systematic literature review

The (im)possibilities of open data?

Balancing control, usability and visibility of linked open government data to create public value

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