RURAL TOURISM RESEARCHES: A CO-CITATION ANALYSIS

Nobody doubts the importance of the scientific performance’s evaluation. At the same time its way divides the group of experts. The present study mostly deals with the models of citation-analysis based evaluation. The aim of the authors is to present the background of the best known tool – Impact factor – since, according to the authors’ experience, to the many people use without knowing it well. In addition to the „nonofficial impact factor” and Euro-factor, the most promising index-number, h-index is presented. Finally new initiation – Index Copernicus Master List – is delineated, which is suitable to rank journals. Studying different indexes the authors make a proposal and complete the method of long standing for the evaluation of scientific performance.

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Malaysian Homestays: The Need for Standardized Regulation

Built Environment Journal ◽

10.24191/bej.v17i2.8997 ◽

2020 ◽

Vol 17 (2) ◽

pp. 63

Author(s):

ROHASLINDA BINTI RAMELE ◽

YAMAZAKI JUICHI ◽

MD NAJIB IBRAHIM ◽

LILIS SHEREENA SAFIEE

Keyword(s):

Rural Community ◽

Rural Tourism ◽

Asian Countries ◽

Government Organizations ◽

Rural Income ◽

Arts And Culture ◽

The Government ◽

Host Families ◽

Southeast Asian Countries ◽

Management Operation

This study aims to clarify regulations used among each type of registered and unregistered Malaysian homestays and to reveal issues arose regarding the implemented regulations. Selected homestays that are established by the government organizations and individuals were investigated to carry out the comparison on each homestay. Host families and persons in charge of the Ministry of Tourism, Arts and Culture (MOTAC), the Ministry of Agriculture (MOA), and the Ministry of Rural and Regional Development (MRRD) were also interviewed. Findings showed that there is only one guideline used for all types of homestays in Malaysia, which is the Malaysia Homestay Registration Guideline, established by MOTAC. MOTAC has also been selected as a leader of homestays in the Southeast Asian countries by the ASEAN Secretariat; therefore, the ASEAN Homestay Standard is also being referred. However, the implementation of this guideline and standard among other homestays unregistered with MOTAC (homestays established by MOA, MRRD, and individuals) is not compulsory, although encouraged, where they may receive equal benefits in term of facilities and promotion. Some issues arose due to the tax regulated by the local authorities, failure on homestays to be registered with MOTAC, and abandoned homestays. This study recommended that the Malaysia Homestay Registration Guideline to be standardized and regulated to all types of homestays, including individuals and unregistered homestays in Malaysia. This is important in order to reduce issues arose involving the homestay industry, providing safety and comfort to the tourists and, to help to develop rural income among host families and the rural community themselves.Keywords: Rural tourism, homestay, regulation, management, operation

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Document- and Keyword-based Author Co-citation Analysis

Data and Information Management ◽

10.2478/dim-2018-0009 ◽

2018 ◽

Vol 2 (2) ◽

pp. 70-82 ◽

Cited By ~ 2

Author(s):

Binglu Wang ◽

Yi Bu ◽

Win-bin Huang

Keyword(s):

Citation Analysis ◽

Semantic Similarity ◽

Method Validation ◽

New Method ◽

Global Network ◽

Network Visualization ◽

Knowledge Domain ◽

Knowledge Domains ◽

Domain Mapping ◽

The Relationship

AbstractIn the field of scientometrics, the principal purpose for author co-citation analysis (ACA) is to map knowledge domains by quantifying the relationship between co-cited author pairs. However, traditional ACA has been criticized since its input is insufficiently informative by simply counting authors’ co-citation frequencies. To address this issue, this paper introduces a new method that reconstructs the raw co-citation matrices by regarding document unit counts and keywords of references, named as Document- and Keyword-Based Author Co-Citation Analysis (DKACA). Based on the traditional ACA, DKACA counted co-citation pairs by document units instead of authors from the global network perspective. Moreover, by incorporating the information of keywords from cited papers, DKACA captured their semantic similarity between co-cited papers. In the method validation part, we implemented network visualization and MDS measurement to evaluate the effectiveness of DKACA. Results suggest that the proposed DKACA method not only reveals more insights that are previously unknown but also improves the performance and accuracy of knowledge domain mapping, representing a new basis for further studies.

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