Hackathon Methodology for E-Governance: Can We Get the Problem Solvers and Solution Seekers on One Common Platform?

Author(s):  
Dipali D. Awasekar ◽  
Shashikant A. Halkude
1970 ◽  
Vol 83 (3, Pt.1) ◽  
pp. 431-434
Author(s):  
Theodore R. Dixon ◽  
Alan E. Moulton

2005 ◽  
Vol 24 (4) ◽  
pp. 259-274
Author(s):  
Sameer Kumar ◽  
Thomas Ressler ◽  
Mark Ahrens

This article is an appeal to incorporate qualitative reasoning into quantitative topics and courses, especially those devoted to decision-making offered in colleges and universities. Students, many of whom join professional workforce, must become more systems thinkers and decision-makers than merely problem-solvers. This will entail discussion of systems thinking, not just reaching “the answer”. Managers will need to formally and forcefully discuss objectives and values at each stage of the problem-solving process – at the start, during the problem-solving stage, and at the interpretation of the results stage – in order to move from problem solving to decision-making. The authors suggest some methods for doing this, and provide examples of why doing so is so important for decision-makers in the modern world.


2021 ◽  
Vol 45 (5) ◽  
pp. 902-904
Author(s):  
Jeroen A. Oskam ◽  
Anna de Visser-Amundson ◽  
Boukje de Boer

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1840
Author(s):  
Nicolás Caselli ◽  
Ricardo Soto ◽  
Broderick Crawford ◽  
Sergio Valdivia ◽  
Rodrigo Olivares

Metaheuristics are intelligent problem-solvers that have been very efficient in solving huge optimization problems for more than two decades. However, the main drawback of these solvers is the need for problem-dependent and complex parameter setting in order to reach good results. This paper presents a new cuckoo search algorithm able to self-adapt its configuration, particularly its population and the abandon probability. The self-tuning process is governed by using machine learning, where cluster analysis is employed to autonomously and properly compute the number of agents needed at each step of the solving process. The goal is to efficiently explore the space of possible solutions while alleviating human effort in parameter configuration. We illustrate interesting experimental results on the well-known set covering problem, where the proposed approach is able to compete against various state-of-the-art algorithms, achieving better results in one single run versus 20 different configurations. In addition, the result obtained is compared with similar hybrid bio-inspired algorithms illustrating interesting results for this proposal.


2019 ◽  
Vol 23 (6) ◽  
pp. 1017-1038 ◽  
Author(s):  
Ambra Galeazzo ◽  
Andrea Furlan

Purpose Organizational learning relies on problem-solving as a way to generate new knowledge. Good problem solvers should adopt a problem-solving orientation (PSO) that analyzes the causes of problems to arrive at an effective solution. The purpose of this paper is to investigate this relevant, though underexplored, topic by examining two important antecedents of PSO: knowledge sharing mechanisms and transformational leaders’ support. Design/methodology/approach Hierarchical linear modeling analyses were performed on a sample of 131 workers in 12 plants. A questionnaire was designed to collect data from shop-floor employees. Knowledge sharing was measured using the mechanisms of participative practices and standardized practices. Management support was assessed based on the extent to which supervisors engaged in transformational leadership. Findings Knowledge sharing mechanisms are an antecedent of PSO behavior, but management support measured in terms of transformational leadership is not. However, transformational leadership affects the use of knowledge sharing mechanisms that, in turn, is positively related to PSO behavior. Practical implications The research provides practical guidance for practitioners to understand how to manage knowledge in the workplace to promote employees’ PSO behaviors. Originality/value Though problem-solving activities are intrinsic in any working context, PSO is still very much underrepresented and scarcely understood in knowledge management studies. This study fills this gap by investigating the antecedents of PSO behavior.


2021 ◽  
Author(s):  
Jan Aart Scholte ◽  
Soetkin Verhaegen ◽  
Jonas Tallberg

Abstract This article examines what contemporary elites think about global governance and what these attitudes might bode for the future of global institutions. Evidence comes from a unique survey conducted in 2017–19 across six elite sectors (business, civil society, government bureaucracy, media, political parties, research) in six countries (Brazil, Germany, the Philippines, Russia, South Africa, the United States) and a global group. Bearing in mind some notable variation between countries, elite types, issue-areas and institutions, three main interconnected findings emerge. First, in principle, contemporary leaders in politics and society hold considerable readiness to pursue global-scale governance. Today's elites are not generally in a nationalist-protectionist-sovereigntist mood. Second, in practice, these elites on average hold medium-level confidence towards fourteen current global governance institutions. This evidence suggests that, while there is at present no legitimacy crisis of global governance among elites (as might encourage its decline), neither is there a legitimacy boom (as could spur its expansion). Third, if we probe what elites prioritize when they evaluate global governance, the surveyed leaders generally most underline democracy in the procedures of these bodies and effectiveness in their performance. This finding suggests that, to raise elites' future confidence in global governance, the institutions would do well to become more transparent in their operations and more impactful problem-solvers in their outcomes.


2016 ◽  
Vol 10 (1) ◽  
pp. 1 ◽  
Author(s):  
Jackson Pasini Mairing

Solving problem is not only a goal of mathematical learning. Students acquire ways of thinking, habits of persistence and curiosity, and confidence in unfamiliar situations by learning to solve problems. In fact, there were students who had difficulty in solving problems. The students were naive problem solvers. This research aimed to describe the thinking process of naive problem solvers based on heuristic of Polya. The researcher gave two problems to students at grade XI from one of high schools in Palangka Raya, Indonesia. The research subjects were two students with problem solving scores of 0 or 1 for both problems (naive problem solvers). The score was determined by using a holistic rubric with maximum score of 4. Each subject was interviewed by the researcher separately based on the subject’s solution. The results showed that the naive problem solvers read the problems for several times in order to understand them. The naive problem solvers could determine the known and the unknown if they were written in the problems. However, they faced difficulties when the information in the problems should be processed in their mindsto construct a mental image. The naive problem solvers were also failed to make an appropriate plan because they did not have a problem solving schema. The schema was constructed by the understanding of the problems, conceptual and procedural knowledge of the relevant concepts, knowledge of problem solving strategies, and previous experiences in solving isomorphic problems.


Sign in / Sign up

Export Citation Format

Share Document