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The main aim of this paper is to establish a reasonable and scientific evaluation index system to assess the high quality and full employment (HQaFE).

This paper uses a novel Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria framework to evaluate the quality and quantity of employment, wherein the integrated weights of attributes are determined by the combined the Criteria Importance Through Inter-criteria Correlation (CRITIC) and entropy approaches.

Firstly, the gap in the Yangtze River Delta in employment quality is narrowing year by year; secondly, employment skills as well as employment supply and demand are the primary indicators that determine the HQaFE; finally, the evaluation scores are clearly hierarchical, in the order of Shanghai, Jiangsu, Zhejiang and Anhui.

A scientific and reasonable evaluation index system is constructed. A novel CRITIC-entropy-TOPSIS evaluation is proposed to make the results more objective. Some policy recommendations that can promote the achievement of HQaFE are proposed.

The purpose of this paper is to present a hybrid intuitionistic fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method, called intuitionistic fuzzy ordered weighted averaging weighted averaging (OWAWA) distance TOPSIS (IFOWAWAD-TOPSIS) method for intuitionistic fuzzy multiple-criteria decision making (MCDM) problems.

Based on the OWAWA operator, the authors develop the intuitionistic fuzzy OWAWA distance measure, then the IFOWAWAD-TOPSIS method is obtained by using the IFOWAWAD and traditional TOPSIS.

The developed IFOWAWAD-TOPSIS method can overcome the drawback of traditional TOPSIS method that cannot consider both the subjective information of attributes and the attitudinal character of decision maker.

Clearly, this paper is devoted to the OWA operator, MCDM and intuitionistic fuzzy theory.

The developed method is applicable in a wide range of situations such as decision-making, statistics, engineering and economics. A numerical example concerning investment selection is given to illustrate the practicability and usefulness of the proposed approach.

This paper fulfils an identified need to study how to make a decision considering both the subjective information of attribute and the attitudinal character of decision maker in intuitionistic fuzzy environment.

The purpose of this paper is to present a new decision making technique called the uncertain induced Minkowski OWA distance (UIMOWAD) operator.

The developed UIMOWAD operator is a new aggregation operator that uses the IOWA operator, the Minkowski distance and interval numbers. It is an extension of the IMOWAD operator that uses uncertain information in the aggregation represented in the form of interval numbers.

The UIMOWAD operator is very suitable to deal with complex reordering processes that represent a wide range of factors in an uncertain environment that can be assessed with interval numbers.

Clearly, this paper is devoted to the OWA operator and uncertain theory.

The UIMOWAD operator is applicable in a wide range of situations such as decision‐making, statistics, engineering and economics.

This paper fulfils an identified need to study how to make a decision according to expert's interest in uncertain environment.

The purpose of this paper is to analyse the relationships between Web 2.0 adoption, innovation, organizational learning and organizational performance in the hotel industry.

A sample of four and five-star hotels provides the data. The fieldwork took place between February and June 2013. The questionnaire was sent to top managers of Chinese hospitality firms that provide their e-mail addresses on the main Chinese tourism web pages. The final sample comprises 278 hotels. This percentage of responses yields a sample error of 6.9 per cent for a 95 per cent confidence level. The authors followed a two-step approach for structural equation modelling, using EQS 5.7 software to conduct the tests.

Results suggest that competitive advantage in the hotel industry requires firm strategies focusing on Web 2.0, innovation capacity and organizational learning. This finding contributes to the strategic management field by offering an explanation of the differences in firm performance within a particular industry. Therefore, the findings mark an important contribution to the literature, introducing a new variable that mediates the relationship between Web 2.0 and firm performance.

The results hold that Web 2.0 adoption is crucial for enhancing innovativeness, which is a fundamental source of sustainable competitive advantage. In addition, organizational learning also has a positive effect on innovativeness. Innovation, which is the essence of competitive advantage, is a key concept for firms nowadays.