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The purpose of this paper is to identify electronic word-of-mouth (eWOM) customers from customer reviews. Thus, firms can precisely leverage eWOM customers to increase their product sales.

This research proposed a framework to analyze the content of consumer-generated product reviews. Specific algorithms were used to identify potential eWOM reviewers, and then an evaluation method was used to validate the relationship between product sales and the eWOM reviewers identified by the authors’ proposed method.

The results corroborate that online product reviews that are made by the eWOM customers identified by the authors’ proposed method are more related to product sales than customer reviews that are made by non-eWOM customers and that the predictive power of the reviews generated by eWOM customers are significantly higher than the reviews generated by non-eWOM customers.

The proposed method is useful in the data set, which is based on one type of products. However, for other products, the validity must be tested. Previous eWOM customers may have no significant influence on product sales in the future. Therefore, the proposed method should be tested in the new market environment.

By combining the method with the previous customer segmentation method, a new framework of customer segmentation is proposed to help firms understand customers’ value specifically.

This study is the first to identify eWOM customers from online reviews and to evaluate the relationship between reviewers and product sales.

The purpose of this paper is to investigate effects of two integrative mechanisms of third-party logistics (3PL) integration (i.e. information sharing and process coordination) between users and providers on relationship satisfaction, and further explores how partnership-surrounding (e.g. legal unprotectability) and partnership-specific barriers (e.g. measurement difficulty and cooperation difficulty) influence 3PL integration in the context of Chinese 3PL practices.

Using data collected from 247 3PL users in China, this study uses the structural equation modeling method to empirically examine the relationship among partnership-surrounding/specific barriers, 3PL integration and relationship satisfaction.

The results show that information sharing has no significant effect on relationship satisfaction, while process coordination has a positive effect on relationship satisfaction and partially mediates the relationship between information sharing and relationship satisfaction. Furthermore, as partnership-specific barrier, measurement difficulty and cooperation difficulty are negatively related to information sharing and process coordination. Surprisingly, as partnership-surrounding barrier, legal unprotectability is not significantly related to information sharing but is positively related to process coordination.

As a comprehensive study on 3PL user-provider relationship in China, this study extends existing 3PL literature by providing evidence about the importance of 3PL integration and different types of barriers to 3PL integration, also providing managerial implications for 3PL users, providers, law and regulation makers about how to better implement 3PL integration in China.

The purpose of this paper is to explore how the shoppers’ social value perception affects their purchase intention in online shopping context through its distinct role and relationships with other value dimensions. The moderating effect of the characteristics of other members on the relationship among value dimensions and the difference of value perception between experienced and inexperienced members were also tested to identify the boundary conditions of the proposed model.

The survey included 272 consumers from a well-known social shopping website in China to test the hypotheses.

The results indicate that hedonic and utilitarian value fully mediate the relationship between social value and purchase intention. Perceived expertise positively moderates the relationship between social value and the other two values. In particular, the results found that while inexperienced members can acquire both higher utilitarian and hedonic value from social value and their purchase intention relies more on the hedonic value, experienced members place greater emphasis on the utilitarian value.

The results may help vendors regain confidence in the social shopping business mode and offer specific policy implications on how to leverage shoppers’ social value perception to generate their purchase intention in a social shopping context.

This study focuses on the legitimacy of the independent role of social value and sheds light on the relationships among social value and other value dimensions based on social capital theory, which was under-explored by previous studies. Besides, this study clarifies the moderating role of experience, which highlights the previously unnoticed changing role of consumers’ value perception.

The purpose of this paper is to measure the systemic importance of industry in the world economic system under the system-wide event – the crisis of 2008-2009, by viewing this system as a weighted directed network of interconnected industries.

First, the authors investigate this crisis at three different levels based on network-related indicators: the “macro” global level, the “meso” country level, and the “micro” industry level. This investigation not only provides evidence for the systemic influence, that is, systemic risk, of the crisis, but also reveals the contagion mechanism of the crisis, which supports the stress testing. Second, the authors use a network-related business intelligence algorithm, the combined hyperlink-induced topic search (HITS) algorithm, to measure the contribution of a given individual industry to the overall risk of the economic system or, in other words, the systemic importance of the individual industry.

The HITS algorithm considers both the market information and the interconnectedness of the industries. Based on the stress testing, the performance of the combined HITS is compared with the purely market-based systemic risk measurement. The results show that the combined HITS outperforms the baseline in finding the top N systemically important industries.

The combined HITS algorithm provides a novel network-based perspective of systemic risk measurement.

Measuring the systemic importance based on the combined HITS algorithm can help managers and regulators design effective risk management policies. In this respect, the work initiates a research direction of studying the systemic risk in a business system based on a network-related business intelligence algorithm because the business system can be viewed as an interconnected network.

To develop a method of compensation analysis based on the additive data envelopment analysis model.

It is a common assumption in current target setting literature that outputs of decision making units (DMUs) are generated simultaneously. In practice, outputs of DMUs may be generated consecutively, and targets of posterior outputs may need to be adjusted to keep a DMU efficient when the anterior output cannot reach the previously set output target. The proposed method determines a compensation rate among consecutive outputs, which is applied to keep a DMU efficient when the decrease of an anterior output exceeds its stability region. This compensation analysis is also extended to consecutive inputs.

Sufficient and necessary conditions for preserving efficiency upon output compensation are presented.

The compensation analysis when multiple anterior outputs decrease from their previously set targets is the main limitation, and needs further investigation.

The paper is a useful method for decision maker to set target consecutively.

The paper defines a new target setting (adjusting) problem, in which targets of posterior outputs may need to be adjusted to keep a DMU efficient if an anterior output of the DMU decreases from its previously set target. Theoretical analyses of the compensation analysis are provided.

The present paper aims to investigate the impact of two different dimensions of supply chain integration on two aspects of firm performance in the emerging economy of China. In addition, the moderating effects of market orientation on the relationship between supply chain integration and firm performance are explored.

Data were obtained from a survey administered to 246 firms in the manufacturing and services industry in China. Hierarchical regression analysis was used to test the hypotheses.

Operational coordination is positively associated with operational performance and business performance. Information sharing affects only operational performance; it has no impact on business performance. Furthermore, the results provide empirical support for the moderating effects of market orientation on the association of supply chain integration and firm performance.

The current paper contributes knowledge on the value‐realizing mechanism of supply chain integration from a resource‐based view. It presents a multidimensional explanation of the relationship among supply chain integration, market orientation, and firm performance in the context of China.

To study and validate the relationship between the development of Chinese non‐state‐owned enterprise (Chinese non‐SOE), and cultivation of scientific and technological competence empirically.

Correlation analysis in SPSS is used to analyze the correlation between Chinese non‐SOE and cultivation of scientific and technological competence based on the statistic data released by China Statistical Bureau from 1987 to 2005. Furthermore, their relationship is validated by means of Granger causality test in Eviews 3.0.

This paper finds serial GDP of Chinese non‐SOE is a first difference stationary, while serial total funds of S&T activities of Chinese non‐SOE is a second difference stationary. After they are adjusted to be difference stationary, we find that there is not only a positive correlation, but also a bilateral Granger causality between the two variables.

From the point of view of a practitioner engaging in China trade, this study suggested that when all level governmental departments and all Chinese non‐SOE establish economic development strategies and policies for cultivating scientific and technological competence, the interaction relationship must be taken into consideration in order to avoid negative impact on the sustainable development of Chinese non‐SOE.

This study provides reference and benchmark to Chinese non‐SOE's development and will help to enhance its international competence.

This paper comes to the point from the tax competition of local government in investment promotion and capital introduction. This paper aims to empirically examine the internal mechanism of enterprises obtaining land resources from local government and its resulting equity investment increase and economic consequences of overinvestment.

The data of China’s A-share listed companies from 2007 to 2014 were used to test the relationship between the increase in enterprise equity investment and the acquisition of land resources and overinvestment. The descriptive statistics, correlation analysis and least squares linear regression were used to solve the above question.

One of the reasons for the enterprise equity increase is to obtain scarce land resources. The enterprise acquisition for land resources leads to overinvestment. The equity investment increase from obtaining land resources will further stimulate enterprise group to overinvest.

The authors could not get the actual data of land that subsidiaries have obtained directly. In this research, the authors get the data using consolidated statements and subsidiary statements indirectly.

The results make contributions to the influencing factors and economic consequence of the enterprise investment structural deviation.

It provides reference to optimize the “interaction” relationship between government and enterprises.

It identified the “dual-channel” conduction mechanism between land resource acquisition and enterprise overinvestment.