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This paper aims to analyze soil electrical properties based on fractional calculus theory due to the fact that the frequency dependence of soil electrical parameters at high frequencies exhibits a fractional effect. In addition, for the fractional-order formulation, this paper aims to provide a more accurate numerical algorithm for solving the fractional differential equations.

This paper analyzes the frequency-dependence of soil electrical properties based on fractional calculus theory. A collocation method based on the Puiseux series is proposed to solve fractional differential equations.

The algorithm proposed in this paper can be used to solve fractional differential equations of arbitrary order, especially for 0.5th-order equations, obtaining accurate numerical solutions. Calculating the impact response of the grounding electrode based on the fractional calculus theory can obtain a more accurate result.

This paper proposes an algorithm for solving fractional differential equations of arbitrary order, especially for 0.5th-order equations. Using fractional calculus theory to analyze the frequency-dependent effect of soil electrical properties, provides a new idea for ground-related transient calculation.

The advancement of data analysis tools makes analyzing a huge amount of literature possible. This paper aims to identify tourism information technology research trends with the assistance of Toolkit for Academic Research (CATAR) to answer two research questions: the status of tourism information technology (IT) articles published in these selected journals from 1990 to 2016, and whether the number of Tourism IT articles is increasing or decreasing, and the main research topics studied in these articles from 1990 to 2016, and whether those have shifted over the 27 years.

Selected keywords identified by researchers that were used to extract Tourism IT articles published in Web of Science database. CATAR was used to carry out two analyses, namely, overview analysis and breakdown analysis. Overview analysis is performed to apply citation analysis to identify the general trend and the most cited reference of Tourism IT research represented by the selected articles. Breakdown analysis is based on bibliographic coupling (BC) analysis.

The number of Tourism IT publications grew rapidly in the second half of the 2000s, as mobile phones with touch screens became increasingly popular. It signals changes in the way of information searching behaviors. A total of 769 authors from 44 countries contributed to Tourism IT research. The USA, China, UK and Australia are the countries contributing the most. Six subject areas were revealed, namely, the interaction of people and organization; interaction of people and information; interaction of people and technology; technological implementation; the interaction of organization and information; and interaction of organization and technology.

The major limitation of this study must be considered – the use of data merely derived from WoS database. The BC analysis makes a comparison between references of the given articles. This analysis requires the citation sources with better data quality, which is mainly based on the accuracy and standardization of databases. WoS is the database currently fit this requirement. The emergence of the new citation tools will enable scholars to pull data from new databases and to clean the data. Incorporating data from those new databases will reveal more accurate and comprehensive picture of Tourism IT research trend.

This paper revealed the research trend and major research subject areas of Tourism IT research for the past 16 years. The results can assist scholars to quickly grasp the Tourism IT research. This paper also provides an alternative approach to conduct literature review with computer-assisted analysis program.

This study explores the brand management and marketing of Creative Cities of Gastronomy. A framework based on brand experience was constructed to investigate its relationship with tourists' brand attachment and brand identification. Two factors that enable tourists to have a stronger brand experience from the self-concept perspective – self-congruity and self-expansion – were also examined.

The authors adopted a quantitative research design and collected data from participants who had visited Creative Cities of Gastronomy. A total of 515 valid questionnaires were collected online and offline. Partial least squares structural equation modeling (PLS-SEM) was used for data analysis and hypothesis testing.

The results showed that brand experience positively affects brand identification and attachment. The brand experience of tourists who considered themselves to be “foodies” was enhanced in the Creative Cities of Gastronomy through self-congruity. The results also confirmed that the relationship between self-congruity and brand experience is mediated by self-expansion.

Studies on the Creative Cities of Gastronomy are limited. The few that have explored these cities are dominated by qualitative approaches. This study applied empirical data to examine the brand experience in Creative Cities of Gastronomy. The authors successfully verified that brand experience is effective for building positive relationships with brand attachment and identification. The study also confirmed that self-congruity and self-expansion are important antecedents of brand experience in Creative Cities of Gastronomy. This study enriches the literature by providing empirical evidence and insights into the marketing and branding of these cities.

The purpose of this research is to study the characteristics of chat messages from analysing a collection of 33,121 sample messages gathered from 1,700 sessions of conversations of 72 pairs of MSN Messenger users over a four month duration from June to September of 2005. The primary objective of chat message characterization is to understand the properties of chat messages for effective message analysis, such as message topic detection.

From the study on chat message characteristics, an indicative term‐based categorization approach for chat topic detection is proposed. In the proposed approach, different techniques such as sessionalisation of chat messages and extraction of features from icon texts and URLs are incorporated for message pre‐processing. Naïve Bayes, Associative Classification, and Support Vector Machine are employed as classifiers for categorizing topics from chat sessions.

Indicative term‐based approach is superior to the traditional document frequency based approach, for feature selection in chat topic categorization.

This paper studies the characteristics of chat messages and proposes an indicative term‐based categorization approach for chat topic detection.

This paper aims to explore how Chinese negotiators’ positive and negative emotions affect value claiming during dyadic negotiations and examine the influence of these aroused emotions on the recipient as well as the antecedents and consequents of such reactions.

Using a simulated face-to-face negotiation between buyers and sellers, the authors conducted an experiment based on the manipulation of the sellers’ emotions. About 280 undergraduates participated in a simulated negotiation. SPSS20.0 statistical analysis software was used to test the hypothesis.

The results indicated that the sellers who demonstrates negative emotions claimed more value than happy sellers (direct effect), and the perceived power disadvantage mediated this effect. Moreover, buyers in the happy dyads displayed a higher evaluation of their guanxi (relationship). This experiment also indicated that the sellers’ emotions (happiness or anger) evoked a reciprocal emotion in the buyers, supporting the social contagion perspective. More importantly, as emotion recipients, the buyers’ reactions exerted further influence on the outcomes (ripple effect); specifically, in the happy dyads, the buyers’ positive emotional reactions were negatively related to their individual gains. Finally, the buyers with low agreeableness were more likely to display negative emotional reactions.

Negotiators should have an understanding of how emotions may shape conflict development and resolution via direct and ripple effects. In general, during Chinese negotiations, expressing anger is an effective negotiation tactic that incurs the expense of damaged relationships with counterparts.

The findings validated the impact of emotions in the Chinese negotiation context. Further, the paper extended the research by demonstrating the influence of emotions on the recipients’ reactions. Both the direct and ripple effect provided evidence for adopting the strategic choice perspective during negotiations.

The purpose of this paper is to recover the identity of Chinese intellectual discourse, arguing for the necessity of a Chinese methodology in educational research to be constructed on the basis of the Chinese philosophical traditions and the Chinese social norms for the aim of solving Chinese educational issues within the Chinese cultural context.

The paper is a theoretical paper, arguing for the ontological, epistemological and methodological basis for a Chinese methodology in educational research.

The major ontological issue of Chinese social and educational research, also the ultimate goal of the Chinese governance, is social harmony through harmonious personal relationships. The key to social harmony has been seen in the Chinese philosophical tradition as residing in people’s personal morality and obligation, which constitutes the epistemology of Chinese research. And the golden mean of moderation by synthesizing and balancing the dualist extremes of views and actions should be adopted as the methodological paradigm to researching social and educational issues in China.

The elaboration of these three entities holds promises in the construction of the Chinese methodological system on Chinese social terms and merits.

The author has long sensed that the extensive methodological borrowing from the West by Chinese scholars in educational research might be problematic, given the vast structural differences in the two social worlds that the author and other scholars have observed. A paper in English to argue for the necessity of constructing a uniquely Chinese methodology for educational research in China is an absolute necessity.

The purpose of this study is to examine the factors that affect the adoption of electronic invoices and in turn the impact of these factors on the tax compliance process efficiency of companies.

A questionnaire survey was distributed to 276 users who adopted electronic invoicing. Partial least squares regression was used to analyze the collected data.

This study found that perceived benefits and trust in e-government had a positive influence on the adoption of electronic invoices. At the same time, the adoption of electronic invoice was found to have a positive impact on the overall efficiency of the tax compliance process. Moreover, the factors affecting adoption of electronic invoices can have a mediating effect on that adoption and tax compliance process efficiency.

This study only explored these influencing factors on companies that have adopted electronic invoicing. Future research should distinguish between adopters and non-adopters.

The results of this study can guide tax authorities and other electronic invoice suppliers when promoting the adoption of electronic invoicing.

This research can provide guidance to tax authorities to improve their own electronic invoice system by creating a workforce that have the skills to strengthen citizen’s trust in the electronic invoice system.

This study contributes to the electronic adoption literature by examining those factors that impact tax compliance processes efficiency.

The purpose of this paper is to present experimental research on the behaviour of a new electrorheological fluid (ETSERF).

The ETSERF is a suspension based on diatomite powders dispersed in silicon oil with a surfactant. A design of experiments is conducted to investigate the effects of electric field strength, particle concentration, surfactant percentage, particle size and shear rate on the efficiency of ETSERFs. The influence of the interactions on shear stresses is analyzed by varying all the combinations of the independent variables. The dielectric properties of the ETSERF are investigated in order to explain the interactions between these independent variables. Furthermore, a quantitative relationship between the dynamic shear stresses and the independent variables is developed.

The relationship provides a very useful explanation for the contributions of each independent variable to the viscosity and yield stress.

A new empirical model is proposed to explain the rheological behaviour of the ER fluids with a shear‐thinning behaviour.

The primary purpose of this study is to investigate the influence of tourists' perceived value, satisfaction and behavioral intention on the development of Lipu Yi costume culture to promote the development of intangible cultural tourism and better construct a model of the influencing factors of Lipu Yi costumes in the development of intangible cultural heritage tourism.

The study site is the intangible cultural district of Panzhihua, Sichuan Province, China. This study examines the interrelationships between tourists' perceived value of experience, behavioral intention and satisfaction as the tourists relate to Lipu Yi costume and intangible cultural heritage tourism. A sample of 225 tourists who had visited Panzhihua at least once was selected for the study.

All seven of the survey's hypotheses were supported. Therefore, this study concludes that tourists' perceived value, satisfaction and behavioral intention directly affect the development of intangible cultural tourism and significantly positively impact the growth of Lipu Yi costumes culture. Descriptive analysis, confirmatory factor analysis (CFA) and structural equation modeling (SEM) investigation methods were used.

This paper analyzes tourists' perceived value of Lipu costume culture and tourists' satisfaction and behavioral intention during the tourism process. This study provides a more in-depth understanding of the relationship between Lipu Yi costume and non-heritage tourism factors. Practical methods and approaches are sought to further develop Lipu Yi costume non-heritage tourism.

Social networks have changed the communication patterns significantly. Information available from different social networking sites can be well utilized for the analysis of users opinion. Hence, the organizations would benefit through the development of a platform, which can analyze public sentiments in the social media about their products and services to provide a value addition in their business process. Over the last few years, deep learning is very popular in the areas of image classification, speech recognition, etc. However, research on the use of deep learning method in sentiment analysis is limited. It has been observed that in some cases the existing machine learning methods for sentiment analysis fail to extract some implicit aspects and might not be very useful. Therefore, we propose a deep learning approach for aspect extraction from text and analysis of users sentiment corresponding to the aspect. A seven layer deep convolutional neural network (CNN) is used to tag each aspect in the opinionated sentences. We have combined deep learning approach with a set of rule-based approach to improve the performance of aspect extraction method as well as sentiment scoring method. We have also tried to improve the existing rule-based approach of aspect extraction by aspect categorization with a predefined set of aspect categories using clustering method and compared our proposed method with some of the state-of-the-art methods. It has been observed that the overall accuracy of our proposed method is 0.87 while that of the other state-of-the-art methods like modified rule-based method and CNN are 0.75 and 0.80 respectively. The overall accuracy of our proposed method shows an increment of 7–12% from that of the state-of-the-art methods.