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The purpose of this paper is to adopt fuzzy interpretive structural modeling (ISM) to develop a precise evaluation framework and provide a theoretical basis for enhancing…
The purpose of this paper is to adopt fuzzy interpretive structural modeling (ISM) to develop a precise evaluation framework and provide a theoretical basis for enhancing the understanding of responsible consumption and production (RCP) in academic and industrial fields.
An integration of fuzzy set theory and ISM is proposed to maintain a higher level of consistency and reduce the uncertainty inherent in expert responses.
RCP can be categorized into seven levels, which represent the driving power from higher to lower. The top aspect is management style; the remaining aspects are stakeholder management, regulation compliance, efficiency improvement, sustainable awareness, sustainable production and social responsibility.
This study attempts to integrate the triple bottom line (TBL) concept and corporate sustainability to develop a significant framework for evaluating RCP. Although the proposed aspects and criteria can be used to evaluate the Chinese construction industry, these may be insufficient for other industries. In addition, further discussion regarding important aspects and criteria is required to complete the theoretical basis.
The results indicate that the top two criteria are establishing transparent communication channels and promoting managerial attitudes and behavior, which are followed by technology capabilities, organizational culture and stakeholder engagement. These five criteria play important roles when implementing RCP practices among Chinese construction firms.
This study is the first to discuss RCP via an integration of the TBL concept and corporate sustainability. The framework developed herein provides a precise guideline for Chinese construction firms to improve their performance, and it also promotes the efficient use of resources via sustainable practices.
The OPQ (Occupational Personality Questionnaire) is a factor‐analytic‐based, self‐report questionnaire which has been developed in Britain as a wide‐band assessment device…
The OPQ (Occupational Personality Questionnaire) is a factor‐analytic‐based, self‐report questionnaire which has been developed in Britain as a wide‐band assessment device for use in selection and counselling in jobs at managerial and professional level where personality factors are often important variables in success.
The purpose of this paper is to analyze the informational behavior of a group of future professionals in the field of social sciences (SS), in terms of their competence in…
The purpose of this paper is to analyze the informational behavior of a group of future professionals in the field of social sciences (SS), in terms of their competence in the communication–dissemination of information.
The IL-HUMASS, EVALCI/KN and EVALCI/SK tests regarding the affective (attitudes, motivations) and cognitive (knowledge, skills) dimensions are distributed to a stratified sample of five universities and eight degree courses in Spain. Infographics and non-parametric methods allow to compare the disciplinary profiles with regard to gender, academic course and academic degrees. An Information Literacy Communication synthetic indicator based on structural equation modeling includes the subjective and effective dimensions to measure the holistic learning outcomes in communication–dissemination of information.
Significant differences regarding the informational behavior of future professionals in SS are discovered. The synthetic indicator allows academic degrees to be ranked in order to identify those in need of initiatives aimed at improving communication–dissemination competence.
Findings must be taken into account to design effective learning programs. This methodological approach can be expanded to scientific and academic environments.
The paper puts forward the first evidence-based study on communication–dissemination competence among future SS professionals, as no similar research has been found in the scientific literature. It is also the first time that the definition of a predictive performance indicator, based on a powerful statistical methodology, has been proposed.
The purpose of this paper is to provide a better understanding of the driving forces and structural changes of China as a market provider for Korea. This paper gives the…
The purpose of this paper is to provide a better understanding of the driving forces and structural changes of China as a market provider for Korea. This paper gives the answers for the following questions: How do China’s final demands trigger the growth of its imports from Korea? And what’s the impact of China’s final demands on the import in different industries?
Based on the Multi-Regional Input-Output model and World Input-Output Table database, this paper constructs the non-competitive imports input-output (IO) table of China to Korea. According to this table, we can calculate the induced imports coefficient and comprehensive induced import coefficients of China’s four final demands for imports from Korea in the 56 industries in China.
Among the four driving forces, the strongest one is changes in inventories and valuables. The impact of final consumption expenditure and fixed capital formation is much lower than that of changes in inventories and valuables, but they have a broader impact for the 56 industries. This paper finds out the China’s import induction of the final demands to Korea peaked in 2005 and 2010 and decreased greatly in 2014, so the position of China as market provider for Korea will no longer rise substantially, contrarily it will be in a steady state.
First, this paper constructs the non-competitive IO table to analyze the market provider issues between two countries and provides practical ways and methods for studies on the issues of imports and market provider. Second, this paper investigates the different roles of four final demands on driving force of China as market provider for Korea and the structural changes of China as a market provider for Korea among 56 industries from 2000 to 2014.