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Sentiment lexicon is an essential resource for sentiment analysis of user reviews. By far, there is still a lack of domain sentiment lexicon with large scale and high accuracy for Chinese book reviews. This paper aims to construct a large-scale sentiment lexicon based on the ultrashort reviews of Chinese books.

First, large-scale ultrashort reviews of Chinese books, whose length is no more than six Chinese characters, are collected and preprocessed as candidate sentiment words. Second, non-sentiment words are filtered out through certain rules, such as part of speech rules, context rules, feature word rules and user behaviour rules. Third, the relative frequency is used to select and judge the polarity of sentiment words. Finally, the performance of the sentiment lexicon is evaluated through experiments.

This paper proposes a method of sentiment lexicon construction based on ultrashort reviews and successfully builds one for Chinese books with nearly 40,000 words based on the Douban book.

Compared with the idea of constructing a sentiment lexicon based on a small number of reviews, the proposed method can give full play to the advantages of data scale to build a corpus. Moreover, different from the computer segmentation method, this method helps to avoid the problems caused by immature segmentation technology and an imperfect N-gram language model.

The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods.

In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach.

Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes.

The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.

The purpose of this paper is to explore the effect of firm’s deviant strategy on analysts’ earnings forecasts and further examine the effects of firm’s information transparency and environmental uncertainty on these relationships from information asymmetry perspective.

The sample includes listed firms on Shanghai and Shenzhen Stock Exchange during the period 2007-2013.

The results indicate that firms’ deviant strategies have effects on analysts’ earnings forecasts, in particular, firms with extreme strategies have less analysts following, larger forecast error and dispersion compared with firms following industry norms. Moreover, information transparency and environmental uncertainty have effects on the relationship between strategic deviance and analysts’ earnings forecasts.

The empirical results of this paper provide strong evidence that strategy information is an important source of information for analysts’ earnings forecasts, which shows that analysts should pay attention to not only financial information but also the strategic information, especially when the information is related to strategic choice. In addition, it is necessary for investors to focus on strategic information to have a better understanding on financial information of enterprises and make better investment decisions.

The findings of this study indicate that corporate strategic deviance has an effect on analysts’ earnings forecasting behavior. This study enriches research studies on corporate strategy and external stakeholders and complements related research on analysts’ earnings forecasts from strategic perspective and information asymmetry perspective.

Alternating current (AC) corrosion is a type of corrosion that occurs in buried pipelines under AC stray current interference, which can increase the hydrogen embrittlement sensitivity of pipelines. However, rare research works have been conducted on the hydrogen permeability characteristics of pipeline steel under AC stray current interference. The purpose of this paper is to study hydrogen permeation behavior of X80 steel under AC stray current interference.

In this paper, the hydrogen permeation behavior of X80 steel under AC interference is studied by AC hydrogen charging experiment in a dual electrolytic cell. The relationship between hydrogen evolution rate and hydrogen permeation flux is studied using the gas collection method. The difference between AC hydrogen permeability and direct current (DC) hydrogen permeability is also discussed.

The anodic dissolution caused by AC corrosion promotes the chemical desorption reaction of the adsorbed hydrogen atoms on the surface, reducing the hydrogen atom absorption ratio by 70%. When the AC is smaller than 150░ A/m², the hydrogen permeation process is controlled by the hydrogen atom generation rate, and the hydrogen permeation flux increases with the increase in hydrogen atom generation rate. When the AC exceeds 400░ A/m², the hydrogen permeation process is controlled by the absorption ratio. The hydrogen permeation flux decreases with the decrease in the absorption ratio. Under AC interference, there is a maximum hydrogen permeation flux that linearly correlates to the H⁺ concentration in the solutions.

The high-strength steel is very sensitive to hydrogen embrittlement, and X80 steel has been widely used in oil and gas pipelines. To date, no research has been conducted on the hydrogen permeation behavior of pipeline steel under AC interference, and the hydrogen permeability characteristics of pipeline steel under AC interference are not clear. The research results of this paper are of great significance for ensuring the intrinsic safety of high-strength pipelines under AC stray current interference.

The present study develops a conceptual model that shows how the manipulation attributes of word choice, sentence fluency, convention of meaning, and organization of sentence structure in online hotel reviews are connected to linguistic errors, such as spelling and grammar and argument errors, how such errors intensify the likelihood that messages will be misunderstood, and how these misunderstandings affect customers' responses.

A structured questionnaire was employed to collect data from 591 inbound tourists in Beijing, China. Data analysis was conducted using SPSS 25.0 and Amos Graphics 23.0. Descriptive analysis was performed to explain the sociodemographic characteristic of respondents. Structural equation modeling was performed to examine hypothesized relationships.

Results demonstrate that manipulation attributes increase linguistic errors, and two linguistic errors have profound positive effects on customers' understanding of meaning, which influence their responses in the form of negative online ratings and low purchase intentions.

The study's findings contribute to the literature on hospitality, linguistics, and consumer behavior, and have managerial implications for online review websites, online travel agents, and hotel management. Research limitations lead to suggestions for future research for hospitality scholars.

The purpose of this paper is to contribute to the understanding of similarities and differences between small and medium technology enterprises of Zhongguancun in China and Silicon Valley in the USA in the following aspects of their activities: scale, diversity and the strength of entrepreneurial networks; quality of collaboration network; reputation in the sense of stakeholders’ perception at the local market; and foreign networks.

The study uses a survey method. The analysis of variance statistical technique was applied to each aspect.

The investigation reveals that Chinese companies have more stakeholders among relatives and friends, government, universities, accounting/law, as well as collaborate more with competitors and suppliers, while the US companies have more and collaborate diverse relations with its clients. In America, companies tend to trust their partners more than they do in China. For Chinese companies, the local government appraises business more than the USA. Employees from the US companies also take more pride in telling others that they are members of the business. Domestic customers positively rate business products. Chinese companies actually have better access to foreign resources than the USA and collaborate more with their foreign stakeholders.

Understanding the distinctive features of each regional system is crucial for the success of small and medium technology enterprises for both Chinese and US entrepreneurs.

This paper is a pioneer in the comparison and analysis of the two regions.

Ground rent has been playing a vital role in China’s economic and social development, which has a clear practical logic. It is also necessary to present the historical inevitability and institutional mechanisms that realize this role of ground rent concerning its theoretical and historical logic.

This paper draws on the theories of the French regulation school and the social structure of accumulation theory to establish a preliminary analytical framework. This paper explores the process of ground rent formation under certain land institutional arrangements, as well as the association between the capital accumulation system, the distribution regulation mechanism and relevant stakeholder relationships. From the perspective of historical materialism, the paper examines the functions of ground rent in feudal and capitalist societies and their mapping association between the capital accumulation system, distribution regulation mechanism and stakeholders. This paper further investigates the inevitable trends in the evolution of different social systems from the perspective of rent. Additionally, based on Marx’s view on ground rent under socialism, the paper elucidates the formation, types of rent and its engagement in social production under the conditions of China’s socialist market economy, identifying the inherent value orientation and distinct institutional advantages.

Although considerable research has explored the reasons for the existence, categories and functions of rent in a socialist market economy, there is a relatively insufficient examination of its historical evolution and how it influences real-world economic dynamics. Existing studies have primarily focused on agricultural rent, lacking an in-depth analysis that puts the behaviors of landowners, land operators and laborers in fundamental contexts.

As China enters a new stage of development, it is imperative to improve the public ownership of land from a new historical starting point, encourage the rational use of ground rent leverage, and establish and enhance the capital accumulation system, the distribution regulation mechanism and relevant stakeholder relationships, enabling their more harmonious alignment with the socialist market economy. The following effort should be made to ensure that such actions will be put into place.

The purpose of this paper is threefold: to conceptualize a construct of the perceived value in CSA and its dimensions, to operationalize and validate the construct, and to empirically investigate the influence of perceived value in CSA on consumer satisfaction and loyalty.

This research begins by reviewing relevant literature that frames the concept of perceived value in CSA and integrates this construct into a nomological network. Operational measures for each component of perceived value in CSA are then developed. The scale is validated, and then used to test the hypothesized model in a sample of 198 consumers of Beijing's five CSA farms using partial least squares (PLS) as an analytical tool.

Perceived value in CSA is found to be a formative, multi-dimensional, third-order construct. Further, the results suggest that perceived value in CSA has both a direct positive effect on consumer loyalty and an indirect effect mediated through consumer satisfaction.

Limitations and research directions refer to the need to increase the sample size and replicate research in other places, the possibility of conducting longitudinal research, the need to identify antecedents of perceived value, and the opportunity to assess perceived value across a number of CSA member characteristics.

CSA farmers should recognize the importance of value creation to build and maintain long time relationships. This study suggests that CSA farmers can enhance value from two approaches. One approach is to build strategies to facilitate delivery of product benefits, emotional benefits, and social benefits. Another approach is to invest in efforts to reduce inconvenience and lower risk. In addition, the formative model means that CSA farmers can allocate resources depending on the relative weight of each in value perceptions.

This research is one of the first to conceptualize perceived value in a CSA setting; it argues that modeling of perceived value in CSA should take a formative approach and finds support for this; and assesses the nomological validity of the perceived value in CSA.

Through the scientific and reasonable evaluation of the site selection of the emergency material reserve, the optimal site selection scheme is found, which provides reference for the future emergency decision-making research.

In this paper, we have chosen three primary indicators and twelve secondary indicators to construct an assessment framework for the determination of suitable locations for storing emergency material reserves. By mean of the improved entropy weight-order relationship weight determination method, the evaluation model of kullback leibler-technique for order preference by similarity to an ideal solution (KL-TOPSIS) emergency material reserve location based on relative entropy is established. On this basis, 10 regional storage sites in Beijing are selected for evaluation.

The results show that the evaluation model of the location of emergency material reserve not only respects the objective knowledge, but also considers the subjective information of the experts, which makes the ranking result of the location of the emergency material reserve more accurate and reliable.

Firstly, the modification factor is added to the calculation formula of traditional entropy weight method to complete the improvement of entropy weight method. Secondly, the order relation analysis method is used to assign subjective weights to the indicators. The principle of minimum information entropy is introduced to determine the comprehensive weight of the index. Finally, KL distance and TOPSIS method are combined to determine the relative entropy and proximity degree of alternative solutions and positive and negative ideal solutions, and the scientific and effective of the method is proved by case study.

Continuing economic growth in emerging markets offers large market opportunities to producers and marketers worldwide; however, market failures due to asymmetric information are often seen when high-quality products enter these “new markets” where recognition rates among consumers are low. The use of “geographical origin” labels as quality signals to overcome asymmetric information problem plays an important role. The purpose of this paper is to compare consumers’ perception and willingness to pay (WTP) for different levels of geographic origin labels to provide insights to the strategic use of origin labels in emerging markets.

A consumer survey on geographic labeling for imported dairy products was carried out in Beijing, China in May 2015. Under the “products of European Union (EU)” range, the authors used “product of Ireland” as a case study for the country-specific origin label. Information on consumer demographic, dairy consumption, safety perceptions, knowledge on Ireland and Irish products, as well as WTP for different geographic labeling and product attributes were collected from 307 face-to-face interviews. WTP was elicited using double-bounded contingent valuation method, and estimated with maximum log-likelihood function.

The authors found that consumers are willing to pay premium prices for both of these geographical origin indicators, but the EU label had slightly higher WTP results. However, the controversial situation is that although the EU label has a better chance than the country-specific label in signaling premium quality to Chinese consumers, EU labeling at its best signals an average quality across the EU counties. For premium products with above average quality, using generic EU labeling has a potential drawback to the establishment of product differentiation.

This study is the first to evaluate Chinese consumers’ WTP for EU generic origin label for dairy products in comparison to country-specific origin label. Findings of the study have immediate policy and marketing implications in emerging markets.