scholarly journals Do Amalgamations Make a Difference? What We can Learn from Evaluating the Policy Success of a Large Scale Forced Amalgamation of Local Government

2021 ◽  
Vol 45 (3) ◽  
pp. 278-298
Author(s):  
Dana McQuestin ◽  
Joseph Drew ◽  
Masato Miyazaki
Keyword(s):  
Decision Making ◽  
Learning Process ◽  
Local Governments ◽  
Large Scale ◽  
Financial Sustainability ◽  
Total Expenditure ◽  
Potential Solution ◽  
Policy Success ◽  
Ex Post ◽  
The Impact

Deteriorating financial sustainability of local governments internationally has resulted in increased implementation of structural reform programs as a potential solution. However, the lack of a coherent framework to evaluate policy success has resulted in a myriad of approaches being applied by scholars, sometimes with conflicting results. This inconsistency is problematic given the importance of ex post analyses to the learning process, needed to ensure better decision-making and more efficacious interventions in the future. To address this gap in the literature, we employed the policy success framework along with a number of difference-in-difference analyses to assess the impact of amalgamation following a recent large-scale program. Moreover, in cognisance of the policy success literature, we also introduced a new innovation whereby we conducted empirical estimations on the disaggregated elements of total expenditure. We conclude with an enumeration of important lessons for policymaking and scholarly analysis.

Evolution of e-participation in Greek local government

2021 ◽  
pp. 1-15
Author(s):  
Constantina Costopoulou ◽  
Maria Ntaliani ◽  
Filotheos Ntalianis
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Local Government ◽  
Local Governments ◽  
Local Community ◽  
New Technologies ◽  
Mobile Apps ◽  
Digital Technologies ◽  
Decision Making Processes ◽  
The Impact

Local governments are increasingly developing electronic participation initiatives, expecting citizen involvement in local community affairs. Our objective was to assess e-participation and the extent of its change in local government in Greece. Using content analysis for 325 Greek municipal websites, we assessed e-participation status in 2017 and 2018 and examined the impact of change between these years. The assessment regards two consecutive years since the adoption of digital technologies by municipalities has been rapid. The main findings show that Greek local governments have made significant small- to medium-scale changes, in order to engage citizens and local societies electronically. We conclude that the integration of advanced digital technologies in municipalities remains underdeveloped. We propose that Greek municipalities need to consider incorporating new technologies, such as mobile apps, social media and big data, as well as e-decision making processes, in order to eliminate those obstacles that hinder citizen engagement in local government. Moreover, the COVID-19 outbreak has highlighted the need for enhancing e-participation and policymakers’ coordination through advanced digital technologies.

scholarly journals PENGARUH PENGGUNAAN VIDEO PEMBELAJARAN DAN MINAT BELAJAR TERHADAP HASIL BELAJAR MATA KULIAH PENGANTAR MANAJEMEN PADA PROSES PEMBELAJARAN JARAK JAUH DI MASA PANDEMI COVID 19.

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Siti Sahara ◽  
Sugeng Priyanto
Keyword(s):  
Distance Learning ◽  
Learning Outcomes ◽  
Learning Process ◽  
Large Scale ◽  
Classical System ◽  
Learning System ◽  
Student Interest ◽  
Study Program ◽  
Ex Post ◽  
Data Collection Technique

Currently, Covid-19 is a hot topic of conversation in all countries, including Indonesia. In Indonesia itself, a Large-Scale Social Restriction (PSBB) policy was implemented to suppress the spread of this virus so that all activities carried out outside the home must be stopped until this pandemic has subsided. The imposition of Large-Scale Social Restrictions (PSBB) made the learning system change from a classical system to a Distance Learning (PJJ) or online system. In the Introduction to Management course, student participation was found to be low during the learning process. Lecturers have difficulty determining whether students take learning seriously or not. Often in distance learning, some students deliberately put up a video that has been recorded, so that it seems like they are following the learning process, but in reality, they are doing something else. This is caused by several factors, including media which can be in the form of video lessons and student interest in learning. Looking at the description above, researchers are interested in conducting research that aims to determine the effect of using video learning and learning interest on learning outcomes in the Management Introduction course in the distance learning process during the Covid 19 pandemic. This research was conducted in the D3 Transportation Study Program, Faculty of Engineering, the State University of Jakarta in semester 113 of the 2020/2021 school year. This research is an ex post facto research with a quantitative approach. The number of samples in this study consisted of 76 students. The data collection technique is done by using questionnaires and documentation. The data obtained were analyzed using a multiple regression test. The results of this study indicate that Fcount ≥ Ftable = 13.53 ≥ 3.124 so it can be concluded that there is a significant influence between the use of instructional videos (X1) and interest (X2) on learning outcomes in the Introduction to Management (Y) course. For this reason, the role of lecturers is indispensable in continuously making creative innovations in developing various kinds of learning media that can increase student interest in learning during the Covid 19 pandemic. 

E-Governance and Natural Hazards in Mozambique

2015 ◽  
pp. 253-268 ◽  
Author(s):  
Avelino Mondlane ◽  
Karin Hasson ◽  
Oliver Popov
Keyword(s):  
Decision Making ◽  
Strategic Planning ◽  
Information And Communication Technologies ◽  
Local Governments ◽  
Best Practice ◽  
Good Governance ◽  
Communication Technologies ◽  
Information And Communication ◽  
Decision Making Processes ◽  
The Impact

Strategic planning is a decisive process toward sustainable development for any organization. Mozambique has developed many tools toward good governance, among which Poverty Alleviation Strategy Paper (PARPA) is an umbrella. PARPA includes different key decisive segments of society, particularly the Information and Communication Technologies (ICTs) as the pool for development. This chapter investigates to what extent e-Governance, particularly the development of strategies based on ICTs, can contribute to minimize the impact of floods at local governments by addressing best practice and decision-making process. The authors address backcasting methodology as an approach to consider in a participatory strategic planning for long-term decision-making processes. They use Chókwe District as a showcase where e-governance has an impact in mitigating and preventing the impact of floods.

Factors explaining the Impact of Performance Measures in European Local Governments

2015 ◽  
Vol 13 (2) ◽  
pp. 229-248 ◽  
Author(s):  
Lourdes Torres ◽  
Vicente Pina ◽  
Caridad Martí
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Performance Measures ◽  
Local Governments ◽  
Monetary Incentives ◽  
Senior Managers ◽  
Hr Management ◽  
Perceived Impact ◽  
The Impact

This paper seeks to identify the drivers of the variations in the impact perceived by managers of the implementation of performance measures (PM) across European local governments. We argue that insights from the use of PM for managerial processes and human resources (HR) management features condition the perceived impact of PM systems. The data was collected through a questionnaire answered by local governments of 16 European countries. The results show that the higher the use of PM in performance-oriented budgeting processes, the higher the impact of PM on improvements in the quality of decision-making. Monetary incentives linked to performance better explain the actual results in PM implementation than the kind of HR system of the cities and the academic backgrounds of their senior managers.

The Early Post-Stalin Succession Struggle and Upheavals in East-Central Europe: Internal-External Linkages in Soviet Policy Making (Part 1)

1999 ◽  
Vol 1 (1) ◽  
pp. 3-55 ◽  
Author(s):  
Mark Kramer
Keyword(s):  
Decision Making ◽  
Central Europe ◽  
Policy Making ◽  
Large Scale ◽  
Soviet Bloc ◽  
East Central Europe ◽  
East Central ◽  
Soviet Policy ◽  
External Events ◽  
The Impact

The death of Josif Stalin was followed by momentous changes in the Soviet bloc. Part 1 of this two-part article considers how and why these changes came about, looking at the interaction between domestic and external events. It explores the nature of Soviet decision making, the impact of events in East-Central Europe, the implementation of Moscow's new policy, and the use of Soviet troops to put down a large-scale uprising in East Germany. Politics, Power, and U.S. Policy in Iran, 1950–1953

scholarly journals Animal Spirits in the Beautiful Game. Testing social pressure in professional football during the COVID-19 lockdown

2020 ◽  
Author(s):  
Carlos Cueva
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Natural Experiment ◽  
Social Pressure ◽  
Professional Football ◽  
Large Dataset ◽  
Animal Spirits ◽  
Almost All ◽  
And Behavior ◽  
The Impact

The COVID-19 pandemic forced almost all professional football matches worlwide to be played in empty stadiums. This large-scale natural experiment offers a unique opportunity to assess the impact of social pressure on decision making and behavior. In particular, I investigate the effect of the home crowd on match outcomes and referee decisions. Using a large dataset from 41 professional football leagues in 30 different countries, I find that the home advantage in match outcomes drops by around one half and that referee bias against away teams completely disappears following the lockdowns. My results therefore suggest that social pressure exerted by home crowds has an important effect on the behavior of referees and on game outcomes.

scholarly journals A Framework for Evidence-Based Decision Making in Large-Scale Food Fortification Programs

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1802-1802
Author(s):  
Valerie Friesen ◽  
Mduduzi Mbuya ◽  
Lynnette Neufeld ◽  
Frank T Weiringa
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Program Design ◽  
Decision Makers ◽  
Evidence Based ◽  
Food Fortification ◽  
Impact Pathway ◽  
Gates Foundation ◽  
The Impact ◽  
Evidence Based Decision Making

Abstract Objectives The use of evidence on program performance and potential for impact for decision making in food fortification programs is limited and often done in isolation from other micronutrient interventions. We present a framework for fortification stakeholders responsible for making program recommendations and decisions to facilitate and document evidence-based decision making. Methods First, we reviewed the literature to define the key decision makers and decisions necessary for effective fortification program design and delivery, informed by a clear impact pathway. Then we classified decisions by domain, identified data sources and criteria for their assessment, and adapted the GRADE Evidence to Decision framework to summarize the results. Finally, we considered how the framework would apply to different country programs to test its utility. Results Policymakers, particularly government ministries, and the food producers themselves are the most important decision makers in a fortification program, while technical support agencies, donor agencies, and the research community play important roles in translating data and evidence into contextualized recommendations that meet the needs of different decision makers. The main fortification decision types were classified into five domains across the impact pathway: 1) program design (need, food vehicle(s)); 2) program delivery (compliance, quality, coverage); 3) program impact (nutrient intake and status); 4) overlapping micronutrient interventions and/or under-served populations; and 5) decisions to continue or stop programs. Important criteria for the assessment of each decision type included priority, benefits/risks, equity, acceptability, and feasibility among others. Country examples illustrated the importance of coordinating decision-making in the context of overlapping micronutrient interventions to ensure continued safety and impact over time. Conclusions This framework is a practical tool to enable evidence-based decision making by fortification stakeholders. Using evidence in a systematic and transparent way can enable more effective program design, delivery, and ultimately health impacts. Funding Sources Bill & Melinda Gates Foundation.

scholarly journals Organizational Structure, Public-Private Relationships, and Operational Performance of Large-Scale Stadiums: Evidence from Local Governments in China

2020 ◽  
Vol 12 (19) ◽  
pp. 8002 ◽  
Author(s):  
Honggang Dong ◽  
Brian Yim ◽  
James J. Zhang
Keyword(s):  
Organizational Structure ◽  
Local Governments ◽  
Large Scale ◽  
Market Competition ◽  
Operational Performance ◽  
Financial Sustainability ◽  
Sport Organizations ◽  
Proposed Model ◽  
Efficient Communication ◽  
Research Questions

The financial sustainability of large-scale sport stadiums has become a challenging issue for sport organizations in China due to increasing market competition, lack of professional sport franchises to tenant the facilities, and gradual slow-down in Chinese GDP growth. Previous findings about operational performance of sport organizations identify organizational structure and public-private partnership (PPP) as important predictors. The aim of the current study was (a) to propose a predictive model for operational performance of large-scale stadiums in China and (b) to examine the relationships among organizational structure, PPP, and operational performance. We conducted a literature review to establish a theoretical framework for the proposed model, selected Yangzhou Sports Park and Xuzhou Olympic Sports Center to examine the relationships, and conducted expert interviews to examine the research questions. We found that Xuzhou’s operational performance was more effective due to several mechanisms related to both organizational structure and PPP: incentive, supervision, and assessment. Notably, using built-in benchmark monitoring procedures, Xuzhou managers identified a variety of constraints early on to address onsite problems while maintaining efficient communication among key PPP stakeholders.

Survey of Deep-learning Techniques in Big-Data analytics

2021 ◽  
Author(s):  
Shubhashish Goswami ◽  
Abhimanyu Kumar
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Deep Learning ◽  
Learning Process ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Operational Parameters ◽  
Learning Techniques ◽  
The Impact ◽  
Business Sectors

Abstract The present elaboration of Big-data research studies relying upon Deep-learning methods had revitalized the decision-making mechanism in the business sectors and the enterprise domains. The firms' operational parameters also have the dependency of the Big-data analytics phase, their way of managing the data, and to evolve the outcomes of Big-data implementation by using the Deep-learning algorithms. The present enhancements in the Deep-learning approaches in Big-data applications facilitate the decision-making process such as the information-processing to the employees, analytical potentials augmentation, and in the transition to having more innovative work. In this DL-approach, the robust-patterns of the data-predictions resulted from the unstructured information by conceptualizing the Decision-making methods. Hence this paper elaborates the above statements stating the impact of the Deep-learning process utilizing the Big-data to operate in the enterprise and Business sectors. Also this study provides a comprehensive survey of all the Deep-learning techniques illustrating the efficiency of Big-Data processing on having the impacts of operational parameters, concentrating the data-dimensionality factors and the Big-data complications rectifying by utilizing the DL-algorithms, usage of Machine-learning or deep-learning process for the decision-making mechanism in the Enterprise sectors and business sectors, the predictions of the Big-data analytics resulting to the decision parameters within the organisations, and in the management of larger scale of datasets in Big-data analytics processing by utilizing the Deep-learning implementations. The comparative analysis of the reviewed studies has also been described by comparing existing approaches of Deep-learning methodologies in employing Big-data analytics.

scholarly journals The Impact of Internally Generated Revenue on Economic Development in Nigeria

2018 ◽  
Vol 7 (2) ◽  
pp. 166 ◽  
Author(s):  
Cordelia Onyinyechi Omodero ◽  
Michael Chidiebere Ekwe ◽  
John Uzoma Ihendinihu
Keyword(s):  
Economic Development ◽  
Local Governments ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
P Value ◽  
Statistical Tool ◽  
Ex Post ◽  
Test Of Hypotheses ◽  
The Impact

The study investigated the impact of internally generated revenue (IGR) on economic development of Nigeria. The inability of States and Local governments in Nigeria to generate enough revenue to cope with their expenditure responsibilities has been a serious challenge. The improper use of IGR and corruption have remained a setback to economic development in Nigeria, hence the clamour from the citizens. This study made use of ex-post facto research design to specifically examine the impact of total IGR (TIGR), Federal Government Independent Revenue (FGIR), States IGR (SIGR) and Local IGR (LIGR) Governments IGR on the Real Gross Domestic Product (RGDP i.e. proxy for economic development) of the country. The time series data employed covered a period from 1981 to 2016 and were gathered from the Central Bank of Nigeria (CBN) Statistical Bulletin. The statistical tool used for the data analysis was the multi-regression and t-test for test of hypotheses. The findings of the study revealed that TIGR, SIGR and LIGR have robust and significant positive impact (p-value = 0.000 < 0.05) on RGDP, while FGIR also indicated positive and significant influence on RGDP. There was an existence of high correlation between the dependent and independent variables. The study concluded that the positive impact of IGR is not out of place but the physical evidence is apparently lacking and therefore government policies that could eradicate sharp practices in the government system are required. The study also recommends that government official with corruption history should not be allowed to continue to handle responsibilities rather; people with outstanding integrity should be given opportunity to occupy government positions that are sensitive and could help achieve economic development objectives.

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