scholarly journals Tools and Methods for Supporting Regional Decision-Making in Relation to Climate Risks

Author(s):  
Jyri Hanski ◽  
Jaana Keränen ◽  
Riitta Molarius
Author(s):  
Anamitra Anurag Danda ◽  
Nilanjan Ghosh ◽  
Jayanta Bandyopadhyay ◽  
Sugata Hazra

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mirka Kans

PurposeThe purpose of this article is to promote an innovative approach to education development projects by the application of business modelling tools and methods.Design/methodology/approachThe proposed method is based on tools and methods from the business modelling area, such as stakeholder mapping, SWOT analysis, business modelling canvas and scenario analysis. The applicability of the approach is illustrated by a case study conducted on an engineering programme, where qualitative and quantitative data were gathered through interviews, surveys and workshops.FindingsUtilising business modelling tools for development projects in higher education gives several benefits: (1) knowledge-informed decision making; the methods require good understanding of the current situation as well as possible strategies to be applied, that is data gathering is necessary before decision making; (2) structured decision making by applying a step-by-step approach for the development project; (3) including different stakeholder's perspectives in order to gain a holistic understanding and avoid sub optimisation.Originality/valueThe approach promotes innovation and action driven development rather than a bureaucratic and metric based improvement process. Tools and models from the business area have previously been applied for educational development. However, a holistic business modelling approach for educational development has not yet been applied.


Author(s):  
Xue Ning

In the digital age, the healthcare industry is generating a huge amount of data and information. Although there are structured data such as EHRs, the major data type is unstructured data such as clinical text. The sources of health data are also diversified, including medical data, clinical data, patient-generated data, and social media data. Different methods are applied to analyze the variety of data and obtain health information. When the various types of information are generated, information retrieval and extraction techniques can be used for further decision-making. Data and information-enabled decision-making is a complex process. Many tools and methods are developed to support decision-making in healthcare. Along with the benefits of integrating business intelligence in healthcare, issues and challenges exist. This chapter discusses the health data and information and how they support decision-making in healthcare.


2021 ◽  
Vol 8 (4) ◽  
pp. 34-51
Author(s):  
Tor Guimaraes ◽  
Ketan Paranjape

To assess the impact of big data analytics (BDA) on company decision making, data was collected from 225 company top managers and chief data officers in charge of the BDA group to empirically test this relationship. The data represents a sample of companies which have formally implemented BDA for at least three years with varying degrees of success. Despite considerable differences from company to company, on average the results corroborated the importance of the BDA function along four dimensions (BDA tools and methods, personnel technical proficiency, company readiness, and applications quality) in supporting company decision making toward business innovation. Managers responsible for implementing BDA in their companies should seriously consider these findings to improve the likelihood of success in their projects. The results also call for the identification of other potential determinants for BDA success as a tool for company innovation, as well as potential moderators and mediators for inclusion in a more comprehensive model.


Author(s):  
Alexandre Bekhradi ◽  
Bernard Yannou ◽  
François Cluzel ◽  
Michael Kokkolaras

Experimentation and validation tests conducted by or for technology startups are often costly, time-consuming, and, above all, not well organized. A review of the literature shows that existing tools and methods are either oriented towards lean iterative tests or strongly focused on technology improvement. There is therefore a gap to bridge by providing tangible decision-making supports involving both market and technology aspects. This paper introduces a new quantitative methodology called RITHM (Roadmapping Investments in TecHnology and Marketing), which is a structured process that enables startups to systematically experiment and reach, with relatively small effort, adequate maturity level for the most promising markets. The objective of this methodology is to model and optimize tests in the front end of innovation to progressively reduce uncertainties and risks before the launch of the product. A case study of a shape shifting technology is presented in this paper to illustrate the application of RITHM.


Author(s):  
Anna Taylor

Purpose – This paper aims to present an investigation of the climate adaptation planning and implementation process undertaken by the municipal government of Cape Town, South Africa, situating the findings within the broader literature on governance-related barriers to adaptation. Design/methodology/approach – By developing an in-depth case study using methods of organizational ethnography, the research traces phases of climate adaptation planning and implementation in Cape Town. Applied thematic analysis surfaces issues of coordination, decision-making, resource constraints and tracking progress as key constraints to urban climate adaptation. Findings – While considerable progress has been made on developing a citywide climate adaptation plan for Cape Town, implementation is constrained by poor monitoring and feedback within and between departments and a lack of oversight and impetus from central authorities within the government hierarchy. Research limitations/implications – Further research is needed on the interface between technical and political decision-making, governance arrangements that facilitate coordination and iterative adjustment and the organizational uptake of externally commissioned work on climate adaptation. Practical implications – The paper points to the need for a climate adaptation coordination function situated higher up in the municipal government structure than the environment department to implement, monitor, evaluate and revise measures to reduce climate risks and vulnerabilities citywide. Originality/value – The paper is of value to those seeking to understand local government decision-making, as it pertains to climate adaptation and those looking for means to address climate risks and vulnerabilities in cities, especially in South Africa.


Author(s):  
George Leal Jamil ◽  
Luiz Fernando Magalhães Carvalho

A relationship between project management and knowledge management was observed with a detailed level of analysis in this chapter, as analytics tools and methods were presented to define new perspectives for these dynamics. After a theoretical review that advanced the level reached by a previous paper on the same topic a new theoretical background was completely worked, resulting in a base where a deeper way of analysis allowed, at the end, to study practical cases of rich association for PM and KM in practical, ready to apply situations. As a trend for next competitive cycles, tools, methods, and techniques that focus knowledge production for decision making are to be increasingly defined and applied, on one hand enabling organizations to propose new competitive structures and positioning, and on the other hand, presenting a more aggressive, faster, and demanding competitive environment.


2012 ◽  
Vol 4 (4) ◽  
pp. 285-299 ◽  
Author(s):  
S. Niggol Seo

Abstract This paper examines decision making under climate risks using farmers’ decisions in sub-Saharan Africa, where climate risks are very high. Two risk measures are obtained from the Climate Research Unit’s high-resolution climatology, diurnal temperature range (DTR) and coefficient of variation in precipitation (CVP), which are both averages of 30-yr climate data. Farm surveys of around 7600 households were matched cell by cell with the climate risk data. This paper finds that climate risks are indeed highest in the lowland arid zones in the Sahel. A spatial logit analysis shows that farmers in sub-Saharan Africa have adapted their agricultural systems to varying degrees of the CVP and the DTR. In the long term, if the CVP were to increase by 30%, an integrated system would increase by 7.0%. On the other hand, the two specialized systems fall: a crops-only system falls by 5.3% and a livestock-only system falls by 1.7%. When the DTR increases, farmers adapt by switching to a specialized livestock system. Under increased climate risks, this paper finds that farmers in the lowland savannahs and arid zones in the Sahel, where climate risks are high at present, will adapt by switching to an integrated system. Studies of climate risks, therefore, must account for behavioral responses of the individuals. These results can be utilized to help African farmers to adapt to increasing climate risks.


2015 ◽  
Vol 4 (4) ◽  
pp. 548-552
Author(s):  
Maite Sara Mashego

Consensus decision making, concerns group members make decisions together with the requirement of reaching a consensus that is all members abiding by the decision outcome. Lone ranging worked for sometime in a autocratic environment. Researchers are now pointing to consensus decision-making in organizations bringing dividend to many organizations. This article used a descriptive analysis to compare the goodness of consensus decision making and making lone ranging decision management. This article explored the models, roles, tools and methods of consensus decision making. The results were that consensus decision making brings people together and cements the relationship among employees. The lone ranger’s decision is only consented to by staff but inwardly disagreeable resulting in short term benefits but long term collapse of organizations.


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