scholarly journals Investigating the Key Success Factors of Social Marketing in Promoting Environmental Consciousness: A Dematel-Based Approach

2020 ◽  
Vol 12 (2) ◽  
pp. 1 ◽  
Author(s):  
Chi-Horng Liao

Due to the overuse of the environment and natural resources, our environment has suffered long-term damage and natural disasters have been exacerbated by climate change, resulting in a significant impact on people’s livelihood and security. People must consider saving the environment as everyone’s responsibility. Hence, Environmental consciousness should be promoted to inspire public participation. This study used the Decision Making Trial and Evaluation Laboratory (DEMATEL) method to identify the key success factors of social marketing in promoting environmental consciousness. The DEMATEL method has been proven highly effective in gathering the views of experts and thereby providing information of greater reliability in many areas. The results of this research suggest that “Take advantage of existing successful campaign”, “Using appropriate media channel to increase the participation”, and “Enhancing campaign success by appropriate research” are the main strategies for promoting environmental consciousness. The findings of this study may be used in future success factor evaluations where social marketing is compared with other measures aiming to increase the efficiency of the campaign.

Management ◽  
2015 ◽  
Vol 19 (2) ◽  
pp. 122-135
Author(s):  
Maria Kotas

Summary The basic goal behind any action undertaken in an organization management is the will to achieve success. Key (or critical) success factors are the organization’s resources, competence and qualification that create its competitive advantage on a particular market at a given time, and are able to determine its possible future success. The aim of this article is the analysis of the discrepancies between the factual and perceived key success factors of the social service organizations. The results point to the management of social services organisations not possessing enough knowledge about the factors responsible for the success of the entities they manage. This signifies the need to equip the management of the social services organisations with a theoretical background and practical knowledge which will allow them to manage with the expected results.


2012 ◽  
Vol 14 (3) ◽  
pp. 243
Author(s):  
A. Concas ◽  
G. Corrias ◽  
R. Orrù ◽  
R. Licheri ◽  
M. Pisu ◽  
...  

Space colonization and exploitation of extra-terrestrial natural resources could help humanity in facing various Earth problems. In this regard, production of energy and materials starting from Moon and Mars natural resources as well as the transportation of humans in space could be considered the long term remedy to issues such as overpopulation, depletion of fossil fuels, climate change as well as reduction of available natural resources. Along theses lines, two recently filed patents related to use of novel technologies for the in situ exploitation of natural resources available on Moon and Mars have been developed.


2020 ◽  
Author(s):  
David Haro-Monteagudo ◽  
Leticia Palazón ◽  
Santiago Beguería

<p>With a total irrigated area above 127,000 ha divided into 58 sectors, the Riegos del Alto Aragón (RAA) irrigation district is currently the largest irrigated area in Spain and in the European Union. Also, it is the largest water user within the Gallego-Cinca subsystem within the Ebro River Basin, which also supplies water to 588 livestock operations, 10 industrial polygons, and 110 populated areas. Although there are plans to increase the irrigated area by another additional 47,000 ha, the system is currently close to its resource limit and several supply restrictions took place in the last years with consequent impacts on agricultural productivity. Moreover, this expansion of the irrigated area collides with environmental objectives in the region, mostly due to water quality and nature conservancy aspects, as well as with other water uses downstream.</p><p>The forecasted effects of climate change on future water resources produced in the Pyrenees (the major source of water in the system), as well as market prices, national and international trade and agricultural policies, among other variables, are surrounded by a high level of uncertainty that difficult investment decision-making. Some of the adaptation measures initially devised for the system, e.g. construction of new large reservoirs in the Gallego and Cinca rivers, require either confronting further environmental conflicts or large energy expenses, when not both. With the end of the era of large public works, there is a need to identify new and robust strategies for climate change adaptation. One of these strategies is the construction of private on-farm reservoirs within the RAA system that started in recent years.</p><p>The present work evaluates the contribution of on-farm reservoirs to enhancing the long-term sustainability of the RAA system using a multi-model and multi-scenario approach. The Soil and Water Assessment Tool (SWAT) was used to simulate water provisions from the Gallego-Cinca headwater system under an ensemble of downscaled climate models. Afterward, SWAT outputs were fed into a water allocation model built with AQUATOOL to simulate the management of the system's reservoirs, including on-farm reservoirs, and the water supply to the different demands. The performance of agricultural demands and compliance with environmental flow requirements in the system was evaluated for different on-farm reservoir sizes and combined with construction and operational costs to develop sustainability/investment curves. The outcomes have the potential to better inform decision-making from farmers in RAA as well as from managers in the Ebro River Basin Agency, providing further understanding of the system's dynamics under climatic change.</p>


2019 ◽  
Vol 4 (2) ◽  
pp. 35
Author(s):  
Tiedian Fane ◽  
Toumani Bagayoko

This study highlights the impact of key success factor on profit performance. The recommendations should be used as guideline for Malian enterprises.The quantitative and qualitative methods, primary data collected by questionnaires and interviews are used. Secondary data are gotten from articles, journals and online resources. The research framework was analyzed using multiple regression models. Hypothesis test is adopted to accept or reject the hypothesis formulated in this research. Excel software have been used to perform the test, the measures of p-value, coefficient of determination, the adjusted coefficient of determination, the degree of freedom, the coefficient of Fisher and its critical value.The results suggest that key success factors have significant impact on profit performance. Key success factors have a positive impact on profit performance is valid hypothesis. This study makes several contributions to research and theory of key success factors and profit performance. A greater understanding of key success factors and profit performance provided further investigation of the relationship between of key success factors and profit performance. This model can be used by other enterprise to increase its profit performance. Through the use of this model, enterprise can quickly identify areas requiring urgent improvement.SODEMA industry needs improvement in chain communication systems, manufacturing techniques, and transportation capabilities as alternatives to investing in large inventories and production capacities. The theoretical model developed in this study is applicable in practice.


2021 ◽  
Author(s):  
◽  
Judith Helen Lawrence

<p>The ability of decision makers to respond to climate change impacts such as sea-level rise and increased flood frequency is challenged by uncertainty about scale, timing, dynamic changes that could lead to regime shifts, and by societal changes. Climate change adaptation decision making needs to be robust and flexible across a range of possible futures, to provide sufficient certainty for investment decisions in the present, without creating undue risks and liabilities for the near and long-term futures. A country’s governance and regulatory institutions set parameters for such decisions. The decision-making challenge is, therefore, a function of the uncertainty and dynamic characteristics of climate change, a country’s institutional framework, and the ways in which actual decision-making practice delivers on the intention of the framework.  My research asks if the current decision-making framework, at national and sub-national scales, and practices under it are adequate to enable decision makers to make climate change adaptation decisions that sufficiently address the constraints posed by climate change uncertainty and dynamic change. The focus is on New Zealand’s multi-scale governance and institutional framework with its high level of devolution to the local level, the level assumed as the most appropriate for climate change adaptation decisions. Empirical information was collected from a sample of agencies and actors, at multiple governance scales reflecting the range of geographical characteristics, governance types, organisational functions and actor disciplines. Data were collected using a mix of workshops, interviews and document analyses. The adequacy of the institutional framework and practice was examined using 12 criteria derived from the risk-based concepts of precaution, risk management, adaptive management and transformational change, with respect to; a) understanding and representing uncertainty and dynamic climate change; b) governance and regulations; and c) organisations and actors.  The research found that the current decision-making framework has many elements that could, in principle, address uncertainty and dynamic climate change. It enables long-term considerations and emphasises precaution and risk-based decision making. However, adaptive and transformational objectives are largely absent, coordination across multiple levels of government is constrained and timeframes are inconsistent across statutes. Practice shows that climate risk has been entrenched by misrepresentation of climate change characteristics. The resulting ambiguity is compounded at different governance scales, by gaps in the use of national and regional instruments and consequent differences in judicial decisions. Practitioners rely heavily upon static, time-bound treatments of risk, which reinforce unrealistic community expectations of ongoing protections, even as the climate continues to change, and makes it difficult to introduce transformational measures. Some efforts to reflect changing risk were observed but are, at best, transitional measures. Some experimentation was found in local government practice and boundary organisations were used as change-agents. Any potential improvements to both the institutional framework and to practices that could enable flexible and robust adaptation to climate change, would require supporting policies and adaptive governance to leverage them and to sustain decision making through time.  This thesis contributes to understanding how uncertainty and dynamic climate change characteristics matter for adaptation decision making by examining both a country-level institutional framework and practice under it. The adequacy analysis offers a new way of identifying institutional barriers, enablers and entry points for change in the context of decision making under conditions of uncertainty and dynamic climate change.</p>


Author(s):  
José Manuel Villamarín García ◽  
Beatriz Helena Díaz Pinzón

Business intelligence (BI) solutions have been adopted within organizations as amean to achieve a more grounded decision making process that results in better organizational outcomes. Nowadays, about 70% to 80% of business intelligence implementation projects fail due to both technological and managerial issues. Multi-methodology proposed by Mingers (2006) was followed to develop the research in four phases: appreciation, where documental search wasconducted through a literature review; analysis, where hypothetical structures related with the key success factors were proposed; assessment, where key success factors were assessed along with experts; and action, where research results discussion was shown. As a result, 13 factors that affect the business intelligence solution’s success were identified. Those factors contributeto improve planning and implementation of business intelligence projects, accomplishing in a greater extent the purposes of these projects.


2015 ◽  
Vol 6 (2) ◽  
pp. 447-460 ◽  
Author(s):  
K. Frieler ◽  
A. Levermann ◽  
J. Elliott ◽  
J. Heinke ◽  
A. Arneth ◽  
...  

Abstract. Climate change and its impacts already pose considerable challenges for societies that will further increase with global warming (IPCC, 2014a, b). Uncertainties of the climatic response to greenhouse gas emissions include the potential passing of large-scale tipping points (e.g. Lenton et al., 2008; Levermann et al., 2012; Schellnhuber, 2010) and changes in extreme meteorological events (Field et al., 2012) with complex impacts on societies (Hallegatte et al., 2013). Thus climate change mitigation is considered a necessary societal response for avoiding uncontrollable impacts (Conference of the Parties, 2010). On the other hand, large-scale climate change mitigation itself implies fundamental changes in, for example, the global energy system. The associated challenges come on top of others that derive from equally important ethical imperatives like the fulfilment of increasing food demand that may draw on the same resources. For example, ensuring food security for a growing population may require an expansion of cropland, thereby reducing natural carbon sinks or the area available for bio-energy production. So far, available studies addressing this problem have relied on individual impact models, ignoring uncertainty in crop model and biome model projections. Here, we propose a probabilistic decision framework that allows for an evaluation of agricultural management and mitigation options in a multi-impact-model setting. Based on simulations generated within the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), we outline how cross-sectorally consistent multi-model impact simulations could be used to generate the information required for robust decision making. Using an illustrative future land use pattern, we discuss the trade-off between potential gains in crop production and associated losses in natural carbon sinks in the new multiple crop- and biome-model setting. In addition, crop and water model simulations are combined to explore irrigation increases as one possible measure of agricultural intensification that could limit the expansion of cropland required in response to climate change and growing food demand. This example shows that current impact model uncertainties pose an important challenge to long-term mitigation planning and must not be ignored in long-term strategic decision making.


Author(s):  
Elisabeth Johann

Austrian landscapes range from plains at approximately 100 metres above sea-level to the Alps with peaks at almost 4,000 m. With a share of 47% the forest surface is an important element.One can assume that forests have been used intensively in the course of time and have been impacted by an increasing industry and population, but also by climate change. In some areas the utilization caused the modification of forest stands in particular with regard to the density, composition of tree species and age structure and reduced the extent of the forest area. However, despite these long-term interventions in the forest ecosystem the forests have never been cleared totally and about 30% of the territory remained wooded even in times of heavy exploitation. This is the reason why the share of natural forests is still relatively high. Today, some of these forests now form important assets of the Austrian network of protected forest areas. In this study I want to highlight the socioeconomic and ecological factors in the past which were responsible for this development. It will be illustrated by two case studies from different geographical regions. This examination can contribute to improving the knowledge base for decision making at the internodes of energy, biodiversity and forest policy as well as in forest resource management.


2021 ◽  
Author(s):  
Blas Lajarín ◽  
Nieves Peña ◽  
Jorge Paz ◽  
Edward P. Morris ◽  
Greta C. Vega ◽  
...  

&lt;p&gt;The Thermal Assessment Tool has been developed within the framework of a&amp;#160;Copernicus Climate Change Service (C3S)&amp;#160;contract, titled Climate Change Dashboards for Decision Makers, to provide an interactive and informative dashboard to allow users to visualize the frequency and severity of risk events related to cold snaps and heatwaves. The tool is based on historical, seasonal forecast and long-term projections datasets, available through C3S Climate Data Store (CDS). It reduces the need for repetitive complex climate data analysis, thereby saving time and effort in the decision-making process.&lt;/p&gt;&lt;p&gt;Climate change has already impacted ecosystems and humans, and it is foreseeing that will lead to an increase in the number and intensity of extreme weather events, including heatwaves and cold snaps. These may bring temperatures that are significantly warmer or colder than average that may cause impacts such as thermal discomfort, lack of productivity, more energy consumption and/or health problems. To reduce or at least mitigate these impacts added-value information regarding the risks of extreme temperatures is needed to make proper decisions to prepare, protect and prevent the city and citizens.&lt;/p&gt;&lt;p&gt;For this purpose, the Thermal Assessment Tool provides a customized dashboard that allows users to visualize heatwaves, cold snaps and thermal comfort based on long-term projections and seasonal forecasts. The tool also presents an interactive map and a time series visualization identifying the magnitude of these three variables. This reduces the need for repetitive complex climate data analysis, thereby saving time and effort in the decision-making processes. Information on the frequency and severity of future extreme temperature events can also assist with planning.&lt;/p&gt;&lt;p&gt;The tool showcases how to analyze, process and simplify large volumes of data through different maps and plots that make it easier to understand climate indicators (about the past, present or future). Local governments and other decision-makers, as well as actors in housing development and management, urban planning, and insurance can refer to the tool to complement their usual information systems with additional quality-assured insights that they can act on.&lt;/p&gt;&lt;p&gt;Acknowledgments: We would like to thank the C3S for funding this project and the participants in the various workshops mentioned below: Ayuntamiento de Bilbao, Ihobe y la Oficina Espa&amp;#241;ola de Cambio Clim&amp;#225;tico.&lt;/p&gt;


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