scholarly journals Methodological Challenges in Studying Trust in Natural Resources Management

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1303
Author(s):  
Antonia Sohns ◽  
Gordon M. Hickey ◽  
Jasper R. de Vries ◽  
Owen Temby
Keyword(s):  
Perceived Risk ◽  
Field Research ◽  
Natural Resources Management ◽  
Methodological Issues ◽  
Participatory Approaches ◽  
Resources Management ◽  
Central Characteristic ◽  
Multi Level ◽  
Methodological Considerations ◽  
And Control

Trust has been identified as a central characteristic of successful natural resource management (NRM), particularly in the context of implementing participatory approaches to stakeholder engagement. Trust is, however, a multi-dimensional and multi-level concept that is known to evolve recursively through time, challenging efforts to empirically measure its impact on collaboration in different NRM settings. In this communication we identify some of the challenges associated with conceptualizing and operationalizing trust in NRM field research, and pay particular attention to the inter-relationships between the concepts of trust, perceived risk and control due to their multi-dimensional and interacting roles in inter-organizational collaboration. The challenge of studying trust begins with its conceptualization, which impacts the terminology being used, thereby affecting the subsequent operationalization of trust in survey and interview measures, and the interpretation of these measures by engaged stakeholders. Building from this understanding, we highlight some of the key methodological considerations, including how trust is being conceptualized and how the associated measures are being developed, deployed, and validated in order to facilitate cross-context and cross-level comparisons. Until these key methodological issues are overcome, the nuanced roles of trust in NRM will remain unclear.

Artificial Intelligence Applied to Natural Resources Management

2012 ◽  
pp. 1566-1582 ◽  
Author(s):  
Diana F. Adamatti ◽  
Marilton S. de Aguiar
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Cellular Automata ◽  
Natural Resources ◽  
Natural Resources Management ◽  
Multi Agent Systems ◽  
Resources Management ◽  
Optimization And Control ◽  
Multi Agent ◽  
And Control

There are three computational challenges in natural resources management: data management and communication; data analysis; and optimization and control. The authors believe these three challenges can be dealt with Artificial Intelligence (AI) techniques, because they can manage dynamic activities in natural resources. There are several AI techniques such as Genetic Algorithms, Neural Networks, Multi-Agent Systems or Cellular Automata. In this chapter, the authors introduce some applications of Cellular Automata (CA) and Multi-Agent-Based Simulation (MABS) in natural resources management, because these are areas that the authors approach in their research and these areas can contribute to solve the three computational challenges. Specifically, the CA technique can face the challenge of data analysis because it can be extrapolated and new knowledge will be acquired from an area not known or experienced. Regarding the MABS technique, it can solve the challenge of optimization and control, because it works in an empiric way during the decision-making process, based on experiments and observations.

Artificial Intelligence Applied to Natural Resources Management

2010 ◽  
pp. 313-330
Author(s):  
Diana F. Adamatti ◽  
Marilton S. de Aguiar
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Cellular Automata ◽  
Natural Resources ◽  
Natural Resources Management ◽  
Multi Agent Systems ◽  
Resources Management ◽  
Optimization And Control ◽  
Multi Agent ◽  
And Control

There are three computational challenges in natural resources management: data management and communication; data analysis; and optimization and control. The authors believe these three challenges can be dealt with Artificial Intelligence (AI) techniques, because they can manage dynamic activities in natural resources. There are several AI techniques such as Genetic Algorithms, Neural Networks, Multi-Agent Systems or Cellular Automata. In this chapter, the authors introduce some applications of Cellular Automata (CA) and Multi-Agent-Based Simulation (MABS) in natural resources management, because these are areas that the authors approach in their research and these areas can contribute to solve the three computational challenges. Specifically, the CA technique can face the challenge of data analysis because it can be extrapolated and new knowledge will be acquired from an area not known or experienced. Regarding the MABS technique, it can solve the challenge of optimization and control, because it works in an empiric way during the decision-making process, based on experiments and observations.

Sport Personology: A Paradigmatic and Methodological Analysis

1989 ◽  
Vol 11 (2) ◽  
pp. 216-235 ◽  
Author(s):  
Robin S. Vealey
Keyword(s):  
Content Analysis ◽  
Field Research ◽  
Personality Theory ◽  
Review Of The Literature ◽  
Methodological Issues ◽  
Personality Research ◽  
Previous Review ◽  
Methodological Considerations

In a previous review of the literature between 1950 and 1973, sport personology—the study of personality theory and research in sport—was examined with regard to paradigmatic and methodological issues (Martens, 1975). This study follows up and extends that article by examining trends and issues that have developed in sport personology since that time. A content analysis of the sport personality research published in selected journals and proceedings between 1974 and 1987 was made with regard to paradigm, methodological considerations, and objectives. The results indicated that sport personology has shifted paradigmatically from the trait paradigm to interactionism, but the cognitive interactional approach has overshadowed the trait-state interactional approach. Methodological trends included an emphasis on correlational methods and field research. With regard to research objectives, most studies focused on description and prediction with only a few studies focused on intervention.

Computational Techniques to Manage Natural Resources

2012 ◽  
Vol 3 (2) ◽  
pp. 117-137
Author(s):  
Diana F. Adamatti ◽  
Marilton S. de Aguiar
Keyword(s):  
Data Analysis ◽  
Natural Resources ◽  
Case Studies ◽  
Natural Resource ◽  
Life Quality ◽  
Natural Resources Management ◽  
Computational Techniques ◽  
Resources Management ◽  
Optimization And Control ◽  
And Control

To manage the natural resource, many aspect must be treat, because this are evolve all flora and fauna in planet. Mainly, how this management could improve the life quality in present and future, for all species (not just for human begins). In literature, there are three computational challenges in natural resources management: data management and communication; data analysis; and optimization and control. In this paper, the authors present four case studies where some techniques could help in the management of natural resources and to solve these challenges.

Regional Policy in the Field of Natural Resources Management in the Far North

2003 ◽  
pp. 108-116
Author(s):  
A. Bykov
Keyword(s):  
Economic Development ◽  
Natural Resources ◽  
Regional Policy ◽  
Natural Resources Management ◽  
Economic Factors ◽  
Resource Saving ◽  
Resources Management ◽  
Legal Norms ◽  
Far North ◽  
The Russian Federation

According to the legal norms of the Russian Federation in the ownership, usage and disposal of natural resources the author analyses interaction between natural resources users and local authorities. The interaction is based upon ecological and economic factors, which cause the peculiarities of requirements put before natural resource users in the Far North. The strategic directions of resource saving economic development of these regions are considered.

MSDM Pondok Pesantren

2019 ◽  
Vol 4 (4) ◽  
pp. 403-422
Author(s):  
Ahmad Saefulloh ◽  
Fisher Zulkarnaen ◽  
Dewi Sadiah
Keyword(s):  
Data Collection ◽  
Human Resources ◽  
Human Resource ◽  
Human Resources Management ◽  
Resources Management ◽  
Know How ◽  
Highly Educated ◽  
The Times ◽  
And Control ◽  
Descriptive Method

ABSTRAK Penelitian ini bertujuan untuk mengetahui bagaimana implementasi manajemen sumber daya manusia pondok pesantren pagelaran II sumedang, dan mengetahui bagaimana hasil kinerja santri di pondok pesantren pagelaran II sumedang.Metode yang digunakan dalam penelitian ini adalah metode deskriptif, pengumpulan data dilakukan dengan menggunakan teknik observasi, studi dokumentasi dan wawancara.Hasil Penelitian ini menemukan bahwa peran manajemen sumber daya manusia dalam mengoptimalkan kinerja santri di pondok pesantren pagelaran II sumedang yang diawali dengan pengolaan dalam bentuk fungsi perencanaan dan operasional yang baru.Terutama pengrekrutan jajaran assatidz yang berdedikasi dan berpendidikan tinggi masuk ke pondok pesantren pagelaran II. Sehingga keberlangsungan pesantren akan berinovasi dan pengendalian selalu sesuai dengan perkembangan zaman. Sehingga dapat disimpulkan bahwa manajemen sumber daya manusia di pondok pesantren pagelaran II sumedang telah dijalankan dengan baik dan menunjukan keberhasilan dalam upaya menyiapkan insan kamil. ABSTRAK It aims to know how to implementation of human resources management hut pesantren by fire ii, and find out How did santri's performance result in the pesantren pagelaran 2 Sumedang. The method used in this study is a descriptive method, data collection is done using observation techniques, a documentary study and debriefing. This study found that human resource management's role in optimizing santri's performance in pondok pesantren pagelaran 2 Sumedang. That begin with processing in the form of new planning and operational functions. Particularly recruits for the dedicated, highly educated assatidz went into the pagelaran 2 Sumedang. So martial arts have continued to innovate and control always conforms to the development of The Times. So it is inadmissible that the human resources management at pesantren pagelaran 2 sumedang has been well run and show that is successful in preparing for the perfect human being.

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