Implementation of environmental indicators in policy information systems in Germany.

Author(s):  
M. Meudt
Author(s):  
Juan Carlos Espinosa Morales ◽  
Miguel J. Escalona Maurice ◽  
Claudia Ivon Ortega Méndez ◽  
Martín Hernández-Juárez

Objective: This article aims to show the statistical density of the population per block, toknow its effect as a critical spatial result and its relationship with some socio-environmental indicators, this analysis-process incorporates statistical data andgeographic information systems as a model for territorial spatial analysis, which showsthe relationship between demand and generation of services.Design / Methodology / Approach: The Urban Basic Geostatistical Units data of INEGI(the Spanish acronym of the National Geostatistical Information Institute in Mexico) wasused on block-level as: number of inhabitants and number of dwellings. It wasassociated with variables identified by exploring those key stakeholders at the locality(Delegates, and the Council for Citizenship Participation (in Spanish, COPACI), as wellas the Huexotla Ejido Commissariat, their clergy representative and some other keyinformants. In addition, GIS were used to digitize vector information and to integrate arelational database for the geospatial analysis of the variables, data and indicators inorder to obtain zoning maps.Results: This study presents a proposal for the generation of socio-environmentalindicators that can be used in territorial analysis with urban and rural applications usingGeographic Information Systems as a tool.Study limitations: Transition processes converge in geographic transformation and,consequently have effects on landscape changes; demand for public services; and solidwaste generation.Findings / Conclusions: The size of the scale used for the locality analysis contributesto determine the territorial planning of a geographical space. Thus, results obtaineddeliver information for planning in the decision-making processes at localities in rural tourban transitional zones.


1986 ◽  
Vol 19 (2) ◽  
pp. 201-223 ◽  
Author(s):  
Ronald D. Brunner

1984 ◽  
Vol 1 (1) ◽  
pp. 175-185
Author(s):  
Michael E. D. Koenig

2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.


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