Change Calls Upon Public Administrators to Act, But in What Way? Exploring Administration as a Platform for Governance

Zingale, Nicholas C.; D, Cook; Mazanec, Melanie

doi:10.1080/10841806.2018.1485447

Cited by 6 publications

(5 citation statements)

References 30 publications

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Section: Resultsmentioning

confidence: 99%

“…Community 4 focused on new forms of "Policy analytics" (Loukis et al, 2020), relying on new forms of empiricism (Starkbaum & Felt, 2019) and collaborative action (Zingale et al, 2018), such as through social media (Hu, 2019;Malawani et al, 2020). This community identified a gap in the strategic use of available data and the role of citizens engaging unfiltered via social media (Zingale et al, 2018) or data donations in health care (Starkbaum & Felt, 2019). For the novel data sets, these works highlight the importance of creating facilitating conditions (Loukis et al, 2020;Malawani et al, 2020) and deeper understanding of the benefits (Hu, 2019;Starkbaum & Felt, 2019) and impacts of data sets, particularly social media.…”

Section: Resultsmentioning

confidence: 99%

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Research themes in big data analytics for policymaking: Insights from a mixed‐methods systematic literature review

Suominen

Hajikhani

2021

Policy & Internet

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The use of big data and data analytics are slowly emerging in public policy-making, and there are calls for systematic reviews and research agendas focusing on the impacts that big data and analytics have on policy processes. This paper examines the nascent field of big data and data analytics in public policy by reviewing the literature with bibliometric and qualitative analyses. The study encompassed scientific publications gathered from SCOPUS (N = 538). Nine bibliographically coupled clusters were identified, with the three largest clusters being big data's impact on the policy cycle, data-based decision-making, and productivity. Through the qualitative coding of the literature, our study highlights the core of the discussions and proposes a research agenda for further studies.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Research themes in big data analytics for policymaking: Insights from a mixed‐methods systematic literature review

Suominen

Hajikhani

2021

Policy & Internet

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“…Although the aforementioned research provided some theoretical footing on governance, more fundamental questions remained regarding the way in which governance approaches shape knowledge and situational understanding. Zingale et al (2018) attempted to address this gap from a phenomenological perspective by arguing that hermeneutics might best serve integrated dynamic relations of assemblage by enacting a hermeneutic mind when using administrative authority to create opportunities to uncover pre-ontic prejudices and entrenched traditions through practices of micro deliberation. More applied research is needed to explore this phenomenon in practice (Stout & Love, 2017;Zingale et al, 2017Zingale et al, , 2018.…”

Section: Administrative Governancementioning

confidence: 99%

“…Zingale et al (2018) attempted to address this gap from a phenomenological perspective by arguing that hermeneutics might best serve integrated dynamic relations of assemblage by enacting a hermeneutic mind when using administrative authority to create opportunities to uncover pre-ontic prejudices and entrenched traditions through practices of micro deliberation. More applied research is needed to explore this phenomenon in practice (Stout & Love, 2017;Zingale et al, 2017Zingale et al, , 2018. This research attempted to do so by creating a case study of a policy initiative requiring collaboration and shifts in authority-the OCTF (OCTF) as it transitioned from a county to a regional funding model.…”

Section: Administrative Governancementioning

confidence: 99%

Case Study Analysis of Hermeneutic Boundary Spanning During Policy Change and Transition

Zingale

Higl

2020

Administration & Society

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Working through a lens of administrative governance, hermeneutics, and boundary spanning, we spent 18 months studying the Ohio Children’s Trust Fund (OCTF) as it began its transition from a county to a regional funding model. Using observations and interviews of regional directors and administrative teams, we were interested in learning more about the role of boundary spanning and hermeneutics during the transition process. In other words, attempting to answer the question on what makes boundary spanning work at the level of the boundary spanner? The case study research produced four primary findings: (a) state and regional administrators desired a transitional approach that meant dispersing and distributing power and decisions to regional leaders; (b) political, time, and budget constraints worked against these desires; (c) boundary spanning efforts failed to produce a resource network; and (d) seeking understanding between the macro deterministic goals of the state to the micro regional and local needs produced an exercise in philosophical hermeneutics—particularly at the boundaries of the region and the state, as actors interpreted what they saw, read, and thought. We concluded that public administrators might better cope with the uncertainties associated with program transitions by more fully developing a hermeneutic mind-set for exploratory bias over confirmatory bias when engaging in boundary spanning and forming collaborative networks.

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“…Big data analysis methods have begun to find more and more practical application in the field of telecommunications to assess the level of customer satisfaction with their services, identify processes that caused dissatisfaction and predict which customers are going to change services and their providers. Although the industry sector is a leader in big data testing, especially due to the progress of Industry 4.0 (Dluhopolskyi et al, 2021), political actors are slower to engage in analytics (Zingale et al, 2018;Poel et al, 2018;Washington, 2014;Stavytskyy et al, 2019), despite the level opportunities and preferences that digitalization provides to all, including to improve the process of implementing public policy based on data. The active use of big data has become a necessity in decision-making in the XXI century, including due to the ever-increasing ability to create and assemble them with extraordinary speed.…”

Section: Introductionmentioning

confidence: 99%

Forecasting the Behavior of Target Segments to Activate Advertising Tools: Case of Mobile Operator Vodafone Ukraine

et al. 2022

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Today, the use of machine learning technology in combination with the use of big data are topics that are actively discussed in business around the world. This topic has long gone beyond the information sphere, as it now applies to almost every sphere of life: economic, telecommunications, education, medicine, administration, and especially defense. Predicting customer behavior based on scoring models is in its infancy in Ukrainian companies, the main ones being the introduction of artificial intelligence technologies and machine learning, which will be the leading catalyst that will facilitate decision-making in business in the nearest future. The aim of the study is to develop a scoring model that predicts the behavior of target segments, namely, updating their activity to activate advertising tools. To achieve the goal of the work a set of research methods was used: dialectical – to reveal the theoretical foundations of models and types of forecasting models; analytical – in the study of the functioning of the environment SAS, Anaconda; optimization methods – to choose the best model and generate features. Scientific novelty and theoretical significance lie in the development of a scoring model for predicting the activity of subscribers of the telecommunications company “VF Ukraine”, on the basis of which marketing campaigns are conducted. With the help of the built-in scoring model, the company “VF Ukraine” can target its campaigns to retain subscribers. The marketing directorate of the enterprise can choose the TOP-20 or TOP-30 of the most prone subscribers to non-resumption of activity, i.e., tend to switch to other mobile operators, and hold promotions for them – providing additional gifts and bonuses, money to mobile account.

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Change Calls Upon Public Administrators to Act, But in What Way? Exploring Administration as a Platform for Governance

Cited by 6 publications

References 30 publications

Research themes in big data analytics for policymaking: Insights from a mixed‐methods systematic literature review

Research themes in big data analytics for policymaking: Insights from a mixed‐methods systematic literature review

Case Study Analysis of Hermeneutic Boundary Spanning During Policy Change and Transition

Forecasting the Behavior of Target Segments to Activate Advertising Tools: Case of Mobile Operator Vodafone Ukraine

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