Loving Amazonian nature? Extending the study of psychological nature connection to rural areas in the Global South.

2019 ◽  
Author(s):  
Katarzyna Mikołajczak ◽  
Jos Barlow ◽  
Alexander C. Lees ◽  
P. Wesley Schultz ◽  
Claudia Pato ◽  
...  
Keyword(s):  
Environmental Management ◽  
Decision Making ◽  
Social Factors ◽  
Rural Areas ◽  
Global South ◽  
Conservation Psychology ◽  
Social Constructs ◽  
Field Assessment ◽  
Conservation Attitudes ◽  
Scant Attention

There is growing recognition that environmental management decisions taken by key conservation stakeholders such as farmers are underpinned by both economic and psycho-social factors. However, conservation psychology is still in infancy and there are few validated tools suitable for measuring psycho-social constructs in the Global South. Subjective connection with nature (CWN) is considered to be the basis for pro-conservation attitudes and behaviours but has so far received only scant attention from research into farmers’ decision-making. Here, we introduce a new scale of affective CWN tailored for use in rural areas of the Global South and provide the first field assessment of cognitive and affective CWN in the rural tropics. Our survey found high levels of CWN among non-indigenous farmers living at a major Amazonian deforestation frontier in Brazil. This suggests that CWN has the potential to positively influence farmers’ environmental views and decisions. We also highlight the importance of understanding what kind of “nature” people feel most connected to when responding to CWN measures.

Segments Influencing Individual Investors Behavior And Their Investment Decision

2019 ◽  
Vol 118 (9) ◽  
pp. 154-160
Author(s):  
Dr. Kartikey Koti
Keyword(s):  
Decision Making ◽  
Social Factors ◽  
Stock Markets ◽  
Investment Decision ◽  
Individual Investors ◽  
Factors Affecting ◽  
The Social ◽  
Karnataka State ◽  
Essential Idea

The essential idea of this assessment is investigate the social factors affecting particular theorists' decisions making limit at Indian Stock Markets. In the examination coordinated standard of direct is Classified subject to two estimations the first is Heuristic (Decision making) and the resulting one is prospect.. For the assessment coordinated the data used is basic natured which is assembled through a sorted out survey from 100 individual money related authorities based out in Hubli and Dharwad city, Karnataka State in India on an accommodating way. The respondents were both sex and overwhelming part male were 68% . These theorists were having a spot with the age bundle between35-45 which is 38%. These respondents have completed their graduation were around 56%. These respondents had work inclusion of 5 to 10 years which is 45% and the majority of which were used in government portion which is 56%. Their compensation was between 4 to 6 Lakh and were fit for placing assets into business areas. The money related experts were widely masterminded placing assets into different portfolios like 32% in Share market and 20 % in Fixed store. These examiners mode to known various endeavor streets were through News, family and allies.  

Measuring intellectual capital in a firm belonging to a strategic alliance

2015 ◽  
Vol 16 (1) ◽  
pp. 174-198 ◽  
Author(s):  
Stefania Veltri ◽  
Andrea Venturelli ◽  
Giovanni Mastroleo
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Intellectual Capital ◽  
Strategic Alliances ◽  
Strategic Alliance ◽  
Empirical Work ◽  
Organizational Level ◽  
Decision Making Process ◽  
Content Type ◽  
Scant Attention

Purpose – The purpose of this paper is to propose a method to measure intellectual capital (IC) in firms involved in strategic alliances, an area that has received scant attention in the literature, as existing research is focused mainly on organizational level mainly and increasingly on macro-level unit such as regions or nations. There are very few works at the meso-level (i.e. alliances, clusters), and the paper aims to fill this void, by providing researchers and practitioners with a tool capable of combining measurement and management aims, developed at organizational level with the active participation of the researchers. Design/methodology/approach – The method of analysis is based on a model formalized through a fuzzy expert system (FES). The FES are able to merge the capabilities of an expert system to simulate the decision-making process with the vagueness typical of human reasoning, maintaining the ability to still have a numeric value as a response. Its construction requires the participation of experts, whose knowledge of the problem is accumulated in the form of blocks of rules. These features make it possible to formalize the decision-making process related to the IC valuation, handling qualitative and quantitative variables, and exploring the cognitive mechanisms underlying this process. Findings – The outcome of the application is a system designed to measure the intangible performance deriving from participation in a strategic alliance using FES. This study contributes to the broadening of the research community’s understanding regarding the alternative measurement of IC created within strategic alliances. Research limitations/implications – To the best of the authors’ knowledge, IC literature lacks methods expressly designed to measure the incremental value of IC originating from collaboration among firms. From a measurement perspective, the results may be regarded as valuable proof that IC performance within strategic alliances can be measured quantitatively. Practical implications – On the management side, the possibility of retracing the determinants of different IC intermediate indicators composing the final IC index allows strategic alliances managers to use this information for decision-making purposes. Originality/value – To the best of the authors’ knowledge this is the first study applying FES to measure IC in a firm belonging to a strategic alliance. In the authors’ opinion, fuzzy logic methodology, recently applied in empirical work designed to evaluate IC, represents a reliable methodology because of the “fuzzy” nature of IC.

scholarly journals Assessment of Women participation in Agriculture in Vavuniya district, Sri Lanka

2016 ◽  
Vol 3 (3) ◽  
pp. 159-162
Author(s):  
Gopalakrishnan Tharani ◽  
Mohamed Sameem Roshan Akther ◽  
Nanthakumaran Ananthini
Keyword(s):  
Decision Making ◽  
Sri Lanka ◽  
Multiple Regression ◽  
Urban Area ◽  
Rural Area ◽  
Rural Women ◽  
Rural Areas ◽  
Agricultural Activities ◽  
Urban And Rural Areas ◽  
Women Participation

An attempt was made to assess the women contribution towards agriculture in Vavuniya district, Sri Lanka. 60 farm family households' women were randomly selected from rural and urban area of Kovilkulam AI region of Vavuniya district in Sri Lanka and the data were collected by constructed questionnaire. The objectives of this study are to identify the factors contributing women participation in agriculture, to identify the constraints faced by the women in participating agriculture and to evaluate the women participation in decision making activity in agriculture. Minitab 15 and MS excel were used for data analysis. The level of women participation in agricultural activities was found out using chi-square test and the factors contributing for women participation in agricultural activities were identified using multiple regression analysis in urban and rural areas separately (α=0.05). The results revealed that 90% of the rural women respondents and 50% of the urban respondents participated in the agricultural activities which is a significant difference. The mean values of women participation in agricultural activities in urban and rural areas were 77 hours and 836 hours per annum respectively. The multiple regression model for women participation in urban area found that the participation of women negatively correlated with status of employment, age and education level (p=0.000). In rural area, age and educational level were negatively influencing on women participation in agricultural activities (p=0.000). R-square values of fitted regression models were 72 % and 91% in urban and rural area respectively 72% and 91% variation in respective women participation were explained by these models. The obstacles for the women in participation in agricultural activities were reported as lack of knowledge and training in agriculture field, family burden, cultural and social barriers and physical constraints. 60% of women from rural areas and 90% of women from urban areas were involved in decision making especially in the selection of crops and varieties for planting and livestock rearing. Enhancing the awareness and the technical knowledge to the women in the field of agriculture would contribute to increase income from agriculture at household level, district level and finally at national level. Int. J. Soc. Sc. Manage. Vol. 3, Issue-3: 159-162

scholarly journals The incorporation of Māori environmental values as part of the Ruamāhanga Whaitua Implementation Programme in the Wellington Region, Aotearoa New Zealand

2021 ◽  
Author(s):  
◽  
Bryn Cal Hickson Rowden
Keyword(s):  
Environmental Management ◽  
Decision Making ◽  
New Zealand ◽  
Theory Approach ◽  
Structured Interviews ◽  
Environmental Decision Making ◽  
Aotearoa New Zealand ◽  
Management Processes ◽  
Local Government Level ◽  
Implementation Programme

<p>In recent years, there has been significant efforts to create frameworks in which Māori values are incorporated as part of environmental management processes in Aotearoa New Zealand(Forster, 2014; Harmsworth et al., 2016). This research explores the factors that influence the incorporation of Māori values at the local government level, and what barriers Māori values face to being incorporated in environmental management. This research focused on a case study of the Ruamāhanga Whaitua Committe Implementation Programme process in the Wellington region. Semi-structured interviews were used to collect information on the opinions of members of the Ruamāhanga Whaitua Committee. The interviews were analysed using a critical theory approach. The research found that there was a clear discrepancy between the values and behaviours expressed by some non-Māori members of the Committee. The result of such a discrepancy was that Māori values were not sufficiently part of environmental decision making. Such a discrepancy was a result of the political structures of the Regional Council’s Whaitua Implementation Programme process. The majority of the decision-making power was found to be situated ‘higher’ up in the organisation, outside of the Committee. Overall this research found that there are important opportunities to make sure iwi values are not only included, but form the basis of decisions.</p>

scholarly journals Implementasi Metode SMARTER Untuk Rekomendasi Penerima Bantuan Raskin Masa Covid 19

2021 ◽  
Vol 5 (2) ◽  
pp. 549
Author(s):  
Julfikar Rahmad ◽  
Volvo Sihombing ◽  
Masrizal Masrizal
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Rural Areas ◽  
Lower Class ◽  
Developed Countries ◽  
Decision Support Model ◽  
Head Of Household ◽  
Classic Problem ◽  
The Government ◽  
The Right

The problem of poverty is a classic problem that occurs in every country, both developed countries and developing countries like Indonesia. In every country, there are many programs carried out by the government to overcome the problem of poverty, one of which is the RASKIN program carried out by the Indonesian government. The method used to complete this research is SMARTER (Simple Multi Attribute Rating Technique Exploiting Ranks). During the Covid 19 pandemin, which is currently happening, various kinds of assistance are needed for middle and lower class people in rural areas, thus to distribute assistance, assistance distribution techniques are needed so that it reaches the right people. The SMARTER method was chosen because it is a form of decision support model used in decision making with multi attributes that will be used to solve decision-making problems. The research was conducted in Sei Beluru Village, Meranti District, Asahan Regency. In Sei Beluru Village, several criteria were obtained from direct observation of the field, namely the area of the house floor, the type of floor of the house, the type of house wall, the toilet facilities, the source of drinking water, lighting, materials. fuel used, frequency of eating, ability to buy meat, ability to buy clothes, ability to seek treatment, monthly income, education of the head of household, ownership of assets. Decision support systems using the Smarter method are able to analyze data on people who are entitled to receive Raskin assistance. The results obtained from this study are that from several prospective recipients of Raskin assistance with the specified criteria, it is found that the most prioritized alternative has the highest value of 0.603 using the Smarter method.

scholarly journals Contributions of Nature-Based Solutions to Reduce Peoples’ Vulnerabilities to Climate Change across the Rural Global South

2021 ◽  
Author(s):  
Stephen Woroniecki ◽  
Femke Anna Spiegelenberg ◽  
Alexandre Chausson ◽  
Beth Turner ◽  
Isabel Key ◽  
...  
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Rural Areas ◽  
Analytical Framework ◽  
Global South ◽  
Careful Consideration ◽  
Climate Impacts ◽  
Systematic Map ◽  
Vulnerability Reduction ◽  
Ecosystem Sensitivity

Nature-based solutions (NbS) &mdash;i.e. working with and enhancing nature to address societal challenges&mdash; feature with increasing prominence in responses to climate change, including in the adaptation plans of the most vulnerable nations. Although evidence for the effectiveness of NbS for adaptation is growing, there is less evidence on whether and how NbS reduce vulnerability to climate change in the Global South, despite this region being home to most of the world&rsquo;s most climate-vulnerable people. To address this, we analysed the vulnerability-reduction outcomes of 85 nature-based interventions in rural areas across the Global South, and factors mediating their effectiveness, based on a systematic map of peer-reviewed studies encompassing a wide diversity of ecosystems, climate impacts, intervention types and institutions. We applied an analytical framework based on social-ecological systems and climate change vulnerability, coding studies with respect to six pathways of vulnerability reduction: social and ecological exposure, sensitivity, and adaptive capacity. We find widespread effectiveness of NbS in the dataset with 95% providing positive outcomes for climate change adaptation. Overall, nature-based interventions reduced vulnerability primarily by lowering ecosystem sensitivity to climate impacts (73% of interventions), followed by reducing social sensitivity (43%), reducing ecological exposure (37%), and/or increasing social adaptive capacity (34%), ecological adaptive capacity (18%) and reducing social exposure (12%). With an analysis of mediating factors, we show that vulnerability-reduction effectiveness was affected as much by social and political factors as by technical considerations. Indeed configurations of existing and introduced formal and informal institutions appear central to the efficacy and distributive effects of the studied interventions. We conclude that attention to the distinct pathways through which vulnerability is reduced can help maximise the benefits of NbS and that to be successful, careful consideration is required on their applicability to particular circumstances as well as their social dimensions.

Sign in / Sign up

Export Citation Format

Share Document