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1 – 2 of 2Xuelian Liu, Nopasit Chakpitak, Pitipong Yodmongkol and Shuang Cang
The purpose of this paper is to present a framework for intellectual capital (IC) disclosure in cross-cultural E-tourism which includes identifying key success factors, as well as…
Abstract
Purpose
The purpose of this paper is to present a framework for intellectual capital (IC) disclosure in cross-cultural E-tourism which includes identifying key success factors, as well as selecting indicators in operational level.
Design/methodology/approach
The method described in this paper involves IC process model initiating from strategy formulation, following key success factors analyst by using a detailed interpretative structural model (ISM) instrument, and the indicators selection employing Delphi approach. The paper explicates methodological decisions associated with cross-cultural E-tourism context: selecting the appropriate specialists panel; the approach to data collection; and selecting the measurable indicators.
Findings
This paper proposes three critical components of the framework: key success factors that based on an organization's strategies and contexts; indicators that measure and monitor the value of IC; an IC model that can help cross-cultural E-tourism enterprise improve management effectively.
Originality/value
This paper extends the methodology developed previously to examine IC information in tourism enterprise. The paper introduces an alternative methodological paradigm to the study of IC measurement framework by employing the ISM. This exploratory study employs IC process model to build up cross-cultural E-tourism IC model, which is a start point for the value and performance research of this kind of enterprise.
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Keywords
Ratapol Wudhikarn, Nopasit Chakpitak and Gilles Neubert
In this study, an optimal green product is selected from three newly developed ecological products and a non-environmentally friendly product. An analytic network process (ANP)…
Abstract
Purpose
In this study, an optimal green product is selected from three newly developed ecological products and a non-environmentally friendly product. An analytic network process (ANP), used widely for multi-criteria decision making (MCDM), is applied to account for the tradeoff issues among the criteria (quality, cost and green issue) in the new green product selection processes. The paper aims to discuss these issues.
Design/methodology/approach
This paper focuses on current social and consumer requirements. New product selection processes consider three major perspectives, i.e., quality, cost and environment, as criteria. The following two main methods are applied to respond to this multi-disciplinary issue: the eight quality dimensions proposed by Garvin are used to manage the quality issue, and a life cycle costing (LCC) method is applied for consideration of the cost and green issue. Therefore, the dependency issue among the criteria is considered, using a suitably selected method, the ANP method, and all the methods are applied to a real business, which produces roof tiles, for the delivery of a new optimal green product.
Findings
An optimal environmentally friendly product does not overcome the existing toxic product of the focused company. The environmental performance is necessarily balanced by the quality and cost capabilities.
Research limitations/implications
This paper focuses on the new product selection of roof tile products. The criteria or measuring indicators may be dissimilar, and cannot be applied to other products.
Practical implications
The proposed approach can be applied to other manufacturing companies or services to allow decision makers to make better determinations for a comprehensive dependency problem. The managers can apply the proposed model to benchmark the considered products as well as to find the weaknesses of products.
Originality/value
This method considers the relationship among quality, cost and environment for newly developed green products. The method produces better results than former MCDM studies which did not account for the dependency issue among the criteria.
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