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The main purpose of this paper is to explore the influence mechanism of corporate social responsibility (CSR) for smart cities on consumers' purchase intention. The authors aim to identify the key components of CSR for smart cities based on the perspective of consumers, namely responsibility toward consumers, environment and community and validate their relationship.

The authors exploit data collected by questionnaire surveys to estimate the effects of CSR for smart cities on consumers' purchase intentions and to investigate the statistical causality between them. The multilinear regression model is used to figure out the different impact levels of the three dimensions of CSR for smart cities on consumers' purchase intention.

The results illustrate that CSR for smart cities and its three dimensions all have significant positive impacts on consumers' purchase intentions. Besides, consumer–corporate identity (CCI) exerts a partial mediation effect on this influence mechanism.

This research is based on a rather small sample size. Besides, due to the time limitation and other factors, some other control variables are neglected in the regression model. Therefore, the impact level could be distorted.

The authors put forward management implications according to research conclusions. Corporates should actively fulfill the CSR in the field of consumer responsibility to boost consumers' purchase intention. Corporate should strengthen the interaction with consumers to improve their corporate identity.

The main contribution of this paper is to provide convincing evidence of the impacts of CSR for smart cities on consumer purchase intention (CPI), thus proposing effective measures for corporates to win more consumers by taking on social responsibility for smart cities. This paper takes CCI as mediating variable to deepen the understanding of the impacts of CSR for smart cities on CPI, which is innovative and beneficial to enriching literature in related fields.

After over 30 years’ reform and opening-up, China as the second largest economy is now facing the most essential transformation of management philosophy and the biggest challenging issue of business sustainable development, with people’s increasing worry of the deterioration of environmental pollution, food security and human health. It can be said that what China needs urgently today is business ethical value and long-term sustainable development concept, rather than rapidly growing GDP. The purpose of this paper is to assess how the term “sustainable development” is constructed and valued in the sustainability reports or corporate social responsibility (CSR) reports of Chinese corporations, so as to interpret these Chinese firms’ conception of sustainable development in their real business practices.

A corpus of sustainability reports collected from 30 Chinese corporations totaling 247,311 tokens is first of all compiled to realize the objective of study. Then the authors use the AntConc, a corpus analysis toolkit, to generate word lists, key-word-in-context concordances and collocation lists, as well as calculating statistical significance measures for collocates, of which the mutual information (MI) score 3 is most relevant to the paper’s purposes. Based on the key-word-in-context concordance and collocation list, the authors can find what context “sustainable development” usually appears in sustainability reports, thus inferring Chinese corporations’ conception of sustainable development.

The result indicates that Chinese corporations use the rhetoric of weak sustainability, indicating that sustainable development is compatible with further economic growth, which means that Chinese corporations in current China, strongly promoting the concept of new normal economy, still put economic growth as a dominant goal, on which other dimensions of sustainability like environmental protection depend.

The data gleaned in current corpus are limited to the sustainability reports in 2014 thus the study provides no hints as to diachronic trends. However, this study increases our understanding of how Chinese corporations attach value to sustainable development from the view of corpus analysis.

Different from traditional discourse analysis, which usually carries out qualitative analysis to analyze how a word or phrase is constructed in a small number of texts, the authors’ study innovatively introduces the method of corpus analysis to explore how Chinese corporations construct “sustainable development” in their sustainability reports. Thus, the number of texts analyzed is larger in the authors’ study and their findings are more representative and convincing. The authors create a more qualitative understanding of what the reports are actually saying on their reports and prove that corpus methods can bring new application to the discourse analysis of the biggest challenging issue of China’s future economic growth, suggesting a potential novel way to work out the meaning and implication of sustainable development in Chinese real business world.

Purpose – This study aims at finding out the implementation of English for specific purposes (ESP) course and identifying the challenges faced by English lecturers in designing an ESP course for first-year students in the Engineering Faculty of Malikussaleh University.

Methodology – This study implements qualitative research through interviews as a means of data collection.

Findings – This study addresses the application of an ESP course and identifies the challenges appeared during the stages of designing. The study reveals that an ESP course is not completely implemented. In fact, the course provided little ESP contents. The paper also reveals that, in terms of challenges, each stage of design presents its own challenge. To design an ESP course involves five crucial stages, that is, needs analysis, syllabus, material, teaching, and evaluation. Teachers encounter challenges as the design process takes place.

Research Limitations/Implications – The present study provides an account of how English teachers view challenges in implementing a complete ESP course. However, further research should be conducted to discover the possibility of application of ESP course in national universities in Indonesia.

Practical Implications – This paper offers solutions in order to make the implementation of ESP course feasible in the university.

Originality/Value – There have not been any research in ESP application for engineering students in Malikussaleh University.

The purpose of this paper is to propose and analyze the free vibration response of the spatial curved beams with variable curvature, torsion and cross section, in which all the effects of rotary inertia, shear and axial deformations can be considered.

The governing equations for free vibration response of the spatial curved beams are derived in matrix formats, considering the variable curvature, torsion and cross section. Frobenius’ scheme and the dynamic stiffness method are applied to solve these equations. A computer program is coded in Mathematica according to the proposed method.

To assess the validity of the proposed solution, a convergence study is carried out on a cylindrical helical spring with a variable circular cross section, and a comparison is made with the finite element method (FEM) results in ABAQUS. Further, the present model is used for reciprocal spiral rods with variable circular cross section in different boundary conditions, and the comparison with FEM results shows that only a limited number of terms in the results provide a relatively accurate solution.

The numerical results show that only a limited number of terms are needed in series solutions and in the Taylor expansion series to ensure an accurate solution. In addition, with a simple modification, the present formulation is easy to extend to analyze a more complicated model by combining with finite element solutions or analyze the transient responses and stochastic responses of spatial curved beams by Laplace transformation or Fourier transformation.

This paper aims to compare the Greek and Chinese rhetorical traditions and explore their influences on today’s business and marketing communication across relevant cultures. In particular, it uses the Aristotelian persuasive orientations as reference points to introduce the Chinese rhetoric, and interpret cultural differences in persuasion from a historical and sociocultural perspective. It has been found that Greek and Chinese rhetoric and persuasion were developed to meet the needs of the social and cultural environments and this rule still applies to today’s business communication. The logical approach has been emphasised in the English rhetorical tradition while both qing (emotional approach) and li (logical approach) are the focus of persuasion in the Chinese tradition. This difference is also the root of cultural differences in modern business communication. Findings from both English and Chinese texts and data are examined to substantiate our focal argument.

The purpose of this paper is to target on designing a short-term load prediction framework that can accurately predict the cooling load of office buildings.

A feature selection scheme and stacking ensemble model to fulfill cooling load prediction task was proposed. Firstly, the abnormal data were identified by the data density estimation algorithm. Secondly, the crucial input features were clarified from three aspects (i.e. historical load information, time information and meteorological information). Thirdly, the stacking ensemble model combined long short-term memory network and light gradient boosting machine was utilized to predict the cooling load. Finally, the proposed framework performances by predicting cooling load of office buildings were verified with indicators.

The identified input features can improve the prediction performance. The prediction accuracy of the proposed model is preferable to the existing ones. The stacking ensemble model is robust to weather forecasting errors.

The stacking ensemble model was used to fulfill cooling load prediction task which can overcome the shortcomings of deep learning models. The input features of the model, which are less focused on in most studies, are taken as an important step in this paper.

We make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as vector data represented by lines and not as full extent. Also, high geolocation accuracy is not guaranteed and it is common to observe misalignment with the target road segments by several pixels on the images. In this work, we use the prior information provided by the VGI and extract the full road extent even if there is significant mis-registration between the VGI and the image. The method consists of image segmentation and traversal of multiple agents along available VGI information. First, we perform image segmentation, and then we traverse through the fragmented road segments using autonomous agents to obtain a complete road map in a semi-automatic way once the seed-points are defined. The road center-line in the VGI guides the process and allows us to discover and extract the full extent of the road network based on the image data. The results demonstrate the validity and good performance of the proposed method for road extraction that reflects the actual road width despite the presence of disturbances such as shadows, cars and trees which shows the efficiency of the fusion of the VGI and satellite images.