A Study on the Park Components Affecting the Satisfaction of Park Usage by User Groups

2019 ◽  
Vol 11 (2) ◽  
pp. 21-33
Author(s):  
Soonk Kim ◽  
Jae Ho Lee
Keyword(s):  
User Groups

Abstracting lexocigraphical works

2018 ◽  
pp. 23-36
Author(s):  
V. V. Goncharova
Keyword(s):  
Information Processing ◽  
Information Source ◽  
Scientific Research ◽  
Information Value ◽  
International Standards ◽  
Information Compression ◽  
Current Trends ◽  
User Groups ◽  
Secondary Information ◽  
Negative Factors

The increasing interest towards abstracting as a type of analytical and synthetical information processing due to science globalization trend, is emphasized. The professionals who study this primary information compression are bibliographers, linguists, and information specialists. The author argues that modern professors and students all have to and must learn abstracting in accordance with the international standards for scientific, research, reference and instructional works.The author points to the diversity of the national lexicographical studies and, based on the abstracts index obtained as a result of her study, characterizes the current trends in abstracting linguistic dictionaries. The key user groups are defined. Publishers’ abstracts of dictionaries are discussed and represented. The example of dictionary Internet-based abstract analysis is given (50 items). Based on the abstracts texts, main negative factors to impact information value of this secondary information source are revealed, that is: lacking data essential for users, incomplete description of targeted readership, etc.The author introduces a model plan for digital guides of Russian lexicographical works and complements the plan with the systematic aspect analysis. She concludes that abstracting is an intellectually intensive process. It is underexplored as far as lexicographical works are concerned, and offers many possibilities for further studies.

Using the “3Es” Method to Evaluate REDD+ Project in Nepal

2017 ◽  
Vol 1 (1) ◽  
pp. 1-5
Author(s):  
Doma Tshering Sherpa
Keyword(s):  
Forest Degradation ◽  
Benefit Distribution ◽  
Global Carbon Budget ◽  
Efficiency And Effectiveness ◽  
User Groups ◽  
And Performance ◽  
Community Forest User Groups ◽  
Global Carbon ◽  
Fundamental Requirement ◽  
Forest User

This case demonstrates the utility of the 3Es (effectiveness, efficiency, and equity) in examining Reducing Emissions from Deforestation and Forest Degradation (REDD+) project in Nepal. REDD+ offers results-based payments for conserving and managing forests sustainably and enhancing forest carbon stocks. This will benefit communities’ efforts to conserve forest resources and prevent deforestation; conserving integrity of forests in turn benefits the global carbon budget. This case uses the 3Es to examine one case in Nepal of distributing the REDD+ funds among local participants. Of the 3Es, equity is getting attention worldwide but there is still debate on which principle of 3Es should be given priority to achieve overall effectiveness of REDD+. This case finds that equity is a fundamental requirement to achieve the other Es (efficiency and effectiveness) in REDD+ implementation. Further, I find that distributive equity is the most important and understood in three different ways in Nepal: rights, needs, and performance. There is an argument between communities and experts on which equity should be given priority. I recommend that the issue of needs based equity vs. performance-based equity should be solved by formation of guidelines of sharing benefits at two levels. First, the benefit distribution from international sources/markets to community forest user groups should be based on the ownership of carbon and performance of communities participating in REDD+. Second, at community level, communities should decide on the form of benefit distribution according to their needs. The primacy of equity in this case will likely find international echoes in other environmental policies and in other countries.

User Groups

2012 ◽  
Keyword(s):  
User Groups

Abstract Listings of the ISTFA 2012 User Groups, Moderators, and Presenters.

An Analysis of the Demand for Reporting on Internal Control

2000 ◽  
Vol 14 (3) ◽  
pp. 325-341 ◽  
Author(s):  
Heather M. Hermanson
Keyword(s):  
Decision Making ◽  
Financial Reporting ◽  
Internal Control ◽  
Operational Definition ◽  
Financial Statement ◽  
Individual Investors ◽  
Internal Auditors ◽  
Additional Information ◽  
User Groups ◽  
Definition Of

The purpose of this study is to analyze the demand for reporting on internal control. Nine financial statement user groups were identified and surveyed to determine whether they agree that: (1) management reports on internal control (MRIC) are useful, (2) MRICs influence decisions, and (3) financial reporting is improved by adding MRICs. In addition, the paper examined whether responses varied based on: (1) the definition of internal control used (manipulated as broad, operational definition vs. narrow, financial-reporting definition) and (2) user group. The results indicate that financial statement users agree that internal controls are important. Respondents agreed that voluntary MRICs improved controls and provided additional information for decision making. Respondents also agreed that mandatory MRICs improved controls, but did not agree about their value for decision making. Using a broad definition of controls, respondents strongly agreed that MRICs improved controls and provided a better indicator of a company's long-term viability. Executive respondents were less likely to agree about the value of MRICs than individual investors and internal auditors.

Governance in Online Stolen Data Markets

2017 ◽  
Author(s):  
Meltem Odaba¸ ◽  
Thomas J. Holt ◽  
Ronald L. Breiger
Keyword(s):  
Social Structure ◽  
Communication Networks ◽  
State Intervention ◽  
Governance Structure ◽  
Economic Organization ◽  
User Groups ◽  
Underground Economies ◽  
Two Sided Markets

We analyze the governance structure of online stolen data markets. As cybercriminal underground economies, stolen data markets are beyond the reach of state intervention, and yet they need form and regulation in order to function. While the illicit nature of the business brings risks to its participants, the online characteristics of these markets enable the participants to communicate easily, which is a crucial means of generating trust. We first identify stolen data markets in terms of their economic organization as two-sided markets, economic platforms with two distinct user groups that provide each other with network synergies. This characterization enables us to understand the role of the forum administrator as that of an intermediary, market creator, and market regulator. Then we clarify the role of communication networks and social structure in creating trust among buyers and sellers.

Interpreting collocations: An analysis of collocation dictionaries of: English, German and Russian

2019 ◽  
Vol 35 (1) ◽  
pp. 107-132
Author(s):  
Armine Garibyan
Keyword(s):  
Specific Information ◽  
Lexical Unit ◽  
User Groups

Abstract Unless online collocation tools have not become common yet, printed collocation dictionaries are still one of the few sources of checking collocative possibilities of a lexical unit. The aim of this paper is to analyse one printed collocation dictionary in each of the 3 languages: English, German and Russian and see which interpretation of collocation was focused on and what user groups were targeted. Also, it was attempted to see whether the morphological specificity of the languages was taken consideration of as compared to the structure of these dictionaries, and further determine whether inclusion or exclusion of certain language-specific information aims at a particular group of target users.

scholarly journals A Methodology for Redesigning Networks by Using Markov Random Fields

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1389
Author(s):  
Julia García Cabello ◽  
Pedro A. Castillo ◽  
Maria-del-Carmen Aguilar-Luzon ◽  
Francisco Chiclana ◽  
Enrique Herrera-Viedma
Keyword(s):  
Decision Making ◽  
Random Fields ◽  
Markov Random Fields ◽  
Application Performance ◽  
Cross Border ◽  
Markov Random ◽  
User Groups ◽  
Universal Definition ◽  
Definition Of ◽  
Decision Making Model

Standard methodologies for redesigning physical networks rely on Geographic Information Systems (GIS), which strongly depend on local demographic specifications. The absence of a universal definition of demography makes its use for cross-border purposes much more difficult. This paper presents a Decision Making Model (DMM) for redesigning networks that works without geographical constraints. There are multiple advantages of this approach: on one hand, it can be used in any country of the world; on the other hand, the absence of geographical constraints widens the application scope of our approach, meaning that it can be successfully implemented either in physical (ATM networks) or non-physical networks such as in group decision making, social networks, e-commerce, e-governance and all fields in which user groups make decisions collectively. Case studies involving both types of situations are conducted in order to illustrate the methodology. The model has been designed under a data reduction strategy in order to improve application performance.

scholarly journals E-bike user groups and substitution effects: evidence from longitudinal travel data in the Netherlands

2021 ◽  
Author(s):  
Mathijs de Haas ◽  
Maarten Kroesen ◽  
Caspar Chorus ◽  
Sascha Hoogendoorn-Lanser ◽  
Serge Hoogendoorn
Keyword(s):  
The Netherlands ◽  
Longitudinal Data ◽  
Latent Class ◽  
Good Alternative ◽  
Substitution Effects ◽  
Or Education ◽  
Cross Sectional ◽  
User Groups ◽  
Using Data ◽  
Mode Of Transport

AbstractIn recent years, the e-bike has become increasingly popular in many European countries. With higher speeds and less effort needed, the e-bike is a promising mode of transport to many, and it is considered a good alternative for certain car trips by policy-makers and planners. A major limitation of many studies that investigate such substitution effects of the e-bike, is their reliance on cross-sectional data which do not allow an assessment of within-person travel mode changes. As a consequence, there is currently no consensus about the e-bike’s potential to replace car trips. Furthermore, there has been little research focusing on heterogeneity among e-bike users. In this respect, it is likely that different groups exist that use the e-bike for different reasons (e.g. leisure vs commute travel), something which will also influence possible substitution patterns. This paper contributes to the literature in two ways: (1) it presents a statistical analysis to assess the extent to which e-bike trips are substituting trips by other travel modes based on longitudinal data; (2) it reveals different user groups among the e-bike population. A Random Intercept Cross-Lagged Panel Model is estimated using five waves of data from the Netherlands Mobility Panel. Furthermore, a Latent Class Analysis is performed using data from the Dutch national travel survey. Results show that, when using longitudinal data, the substitution effects between e-bike and the competing travel modes of car and public transport are not as significant as reported in earlier research. In general, e-bike trips only significantly reduce conventional bicycle trips in the Netherlands, which can be regarded an unwanted effect from a policy-viewpoint. For commuting, the e-bike also substitutes car trips. Furthermore, results show that there are five different user groups with their own distinct behaviour patterns and socio-demographic characteristics. They also show that groups that use the e-bike primarily for commuting or education are growing at a much higher rate than groups that mainly use the e-bike for leisure and shopping purposes.

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