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The purpose of this paper is to investigate the major factors influencing retailer’s optimal ordering strategy in a supply chain consisting of one supplier and one retailer, where the retailer is newsvendor-like and capital-constrained, and further explore the issue of supply chain coordination.

Based on bi-objective programming which is modeled under the mean-variance framework, the retailer’s optimal ordering strategy is derived. Furthermore, through comparative analysis between decentralized system and centralized system along with a numerical simulation, this study examines the theoretical conclusions about supply chain coordination.

This study shows that a poor retailer with a high Expected Terminal Wealth Target Threshold (ETWTT) would ignore bankruptcy risk and order more, whereas a rich retailer is relatively conservative. It also reveals that in some cases, the optimal order quantity and performance of decentralized system could be both improved. However, the centralized system can always get more profit than the decentralized one.

This study uses a bankruptcy threshold to describe retailer’s bankruptcy risk, and considers retailer’s wealth status to formulate the model as an innovative bi-objective programming. The type of retailer as rich or poor in terms of his wealth status and asset structure is distinguished. Moreover, the impacts of retailer’s type and ETWTT on ordering strategy are examined.

The paper aims to explore the optimal strategies of inventory financing when the risk-averse retailer has different objectives, in the presence of multi-risk, i.e. demand risk, non-operational risk and retailer's strategic default risk.

This paper develops an inventory financing model consisting of a bank and a risk-averse retailer with strategic default. This paper considers two scenarios, i.e. the capital-constrained retailer cares about its profit or firm value. In the first scenario, the bank acts as a Stackelberg leader determining its interest rate, and the retailer acts as a follower determining its pledged quantity. In the second one, the bank capital market is perfectly competitive. Lagrange multiplier method is adopted to solve the optimization.

The optimal strategies in inventory financing scheme in two scenarios are derived. Only when the initial stock is relatively high, the retailer pledges part of the initial stock. Retailer's risk aversion reduces its pledged quantity and performance. The strategic default reduces its profit. When it is relatively high, the bank refuses to offer the loan.

Analytical inventory and financing strategies are specified to help retailers and banks to better understand the interaction of finance and operations management and to better respond to multi-risk.

New results and managerial insights are derived by incorporating partially endogenous strategic default and risk aversion into inventory financing, which enriches the interfaces of operations management and finance.

The purpose of this paper is to study a new approach by combining a multilayer perceptron neural network (MLPNN) algorithm with a GM(1, N) model in order to estimate the development cost of a new type of aircraft.

First, data about developing costs and their influencing factors were collected for several types of Boeing and Airbus aircraft. Second, a GM(1, N) model was constructed to simulate development costs for a civil aircraft. Then, an MLPNN algorithm was added to optimize and revise the simulative and forecasting values. Finally, a combined approach, using both a GM(1, N) model and an MLPNN algorithm was adopted to forecast development costs for new civil aircraft.

The results show that the proposed approach could do the work of cost estimation for new types of aircraft. Rather than using a single model, the combined approach could improve simulative and forecasting accuracy.

Scientific cost estimation could improve management efficiency and promote the success of a new type of civil aircraft development. Considering that China’s civil aircraft research and development is at its very beginning stages, only very limited data could be collected. The development costs for civil aircraft are affected by a series of factors. The approach outlined by this paper could be applied to development cost estimations in China’s civil aircraft industry.

The paper has succeeded by constructing a cost estimation index system and proposing a novel combined cost estimation approach comprised of a GM(1, N) model and an MLPNN. It has undoubtedly contributed to improving the accuracy of cost estimations.

Users' knowledge contribution behaviors are critical for online Q&A communities to thrive. Well-organized question threads in online Q&A communities enable users to clearly read existing answers and their evaluations before contributing. Based on the social comparison and peer influence literature, the authors examine peer influence on the informativeness of knowledge contributions in competitive settings. The authors also consider three levels of moderating factors concerning individuals' perception of competitiveness: question level, thread level and contributor level.

The authors collected data from one of the largest online Q&A communities in China. The hypotheses were validated using hierarchical linear models with cross-classified random effects. The generalized propensity score weighting method was employed for the robustness check.

The authors demonstrate the peer influence due to social comparison concerns among knowledge contribution behaviors in the same question thread. If more prior knowledge contributors choose to contribute long answers in the question thread, the subsequent contributions are more informative. This peer influence is stronger for factual questions and questions with higher popularity of answering but weaker in recommendation-type and well-answered questions and for contributors with higher social status.

This research provides a new cue of peer influence on online UGC contributions in competitive settings initiated by social comparison concerns. Additionally, the authors identify three levels of moderating factors (question level, thread level and contributor level) that are specific to online Q&A settings and are related to a contributor's perception of competitiveness, which affect the direct effect of peer influence on knowledge contributions. Rather than focus on motivation and quality evaluation, the authors concentrate on the specific content of online knowledge contributions. Peer influence here is not based on an actual acquaintance or a following relationship but on answering the same question. The authors also illustrate the competitive peer influence in subjective and personalized behaviors in online UGC communities.

This study aims to analyze the impact of the source of online word-of-mouth (WOM) on retail sales. Specifically, the authors focus on the relative impact of external and internal WOMs on book sales.

An empirical analysis is conducted with a panel data of sales and WOM for 87 books from Dangdang and Douban over a 14-day period based on two generalized least square regression models.

Results suggest that both internal WOM and external WOM have significant impact on product sales, and the impact of external WOM is relatively more significant.

WOM, especially the external WOM, plays an important role in consumers’ online purchase decisions.

This study is helpful for retailers to better understand the factors influencing the sales and thereby forecast the future sales more precisely. Besides, the research conclusion could also enlighten related decision makers to constantly improve technical platforms.

In response to the government’s decision to make “entrepreneurship and innovation for all” a national strategy in its 2015 annual work report, Chinese professionals in the library field have expressed a growing interest in makerspaces. This study aims to provide an overview of their current research studies and attempts in constructing makerspaces.

The authors aggregated research materials on library makerspaces in China from two sources: journal articles from the China National Knowledge Infrastructure Database and online news reports from the search engine Baidu.com. Content analysis was used to extract information regarding visions and perceived values, service models and technology adoption.

While a growing number of Chinese academic publications are concerned with library makerspaces, the existing research focuses on foreign cases and offers few empirical studies on domestic application scenarios. Libraries and researchers in China hold a positive and supportive attitude toward makerspaces. 3D printing is the most frequently mentioned technology, and free-to-use, promoting communication and realization of ideas and dreams are the most emphasized values. Libraries should highlight their own unique advantages and tap into their resources and services in mutually beneficial collaborations with other types of makerspaces.

First, the results of this study cannot fully summarize the development status of makerspaces in Chinese libraries. Second, the research materials used in this study may be biased, especially the news reports.

This paper presents a semantic, visualized analysis of aggregated online news articles and journal articles on library makerspaces in China in an attempt to summarize their characteristics and guiding values, validate the advantages of library makerspaces and give suggestions on improving their service models.

This paper introduces the development trend of makerspace in Chinese libraries, so that researchers at home and abroad can learn more about the development of Chinese library.

This study comprehensively overviews the development of library makerspaces in China. The results provide suggestions to improve maker services in library.

The use of social networking sites (SNSs) can promote life satisfaction mainly because of their social relationship benefits. Although prior studies examined the roles of different types of social capital (SC), the association between online and offline SC is ignored. This research addresses this gap by uncovering a mechanism of transformation between online and offline SC in terms of bonding and bridging types when linking SNSs usage and life satisfaction.

Categorizing the concept of SC into four sub-types from bonding/bridging and online/offline dimensions, the paper establishes a theoretical framework based on the transformation mechanism among these four kinds of SC. A component-based approach, partial least square method, is chosen for hypothesis testing with a survey-based sample collected from WeChat users.

First, SNSs usage is positively related to life satisfaction and four types of SC (i.e. online/offline and bonding/bridging SC). Second, both online bonding SC and offline bridging SC are positively related to life satisfaction and can mediate the relationship between SNSs usage and life satisfaction. Third, offline bonding SC is positively related to online bonding SC and can mediate the relationship between SNSs usage and online bonding SC; on the contrary, online bridging SC is positively related to offline bridging SC and can mediate the relationship between SNSs usage and offline bridging SC.

In the environment of SNSs, users can take vigorous strategies to better balance online and offline spaces and improve life satisfaction by adapting to the characteristics of SNSs in developing different types of SC. Specifically, it is encouraged for users to transfer online bridging SC into offline space and offline bonding SC into online space.

To the best of the authors’ knowledge, this is the first study exploring the association between online and offline SC when linking SNSs usage and life satisfaction. Instead of the single transformation direction from online to offline in prior Internet research, this research has revealed different transformation directions between online and offline SC in terms of bonding and bridging types in the context of SNSs.

The purpose of this paper is to explore the nature of a competitive action and its impact on the response of rivals in the digital market. Specifically, this paper introduces the concept of action complexity and action variation to delineate the configuration characteristics of each digital competitive action and empirically investigates how these action characteristics further affect rivals’ response speed.

This paper uses structural content analysis methods to code competitive actions based on the news of Chinese online travel agencies (OTAs) from 2010 to 2015. The cox proportional hazards regression models are employed to test the hypotheses.

The results indicate that action complexity of the focal firm is negatively associated with rivals’ response speed as it constrains their interpretation (awareness), motivation and capability to respond, while action variation of the focal firm is positively associated with rivals’ response speed as it enhances their attention (awareness) and motivation to respond. Furthermore, the negative relationship between action complexity and response speed is weaker when action variation is high.

Further to advancing competitive dynamics theory, this paper proposes an action-configuration perspective to explore the particular content and quality of each digital competitive action. The discussion of competitive rivalry between OTAs also enriches the application of competitive dynamics in the digital market. Meanwhile, this paper further clarifies the decision-making process of rivalry drawing on the awareness–motivation–capability (AMC) framework.

This paper examines radical reform of the Chinese public accounting profession in the 1990s. In particular, the paper seeks to provide a more nuanced understanding of the sources, responses and processes of this radical institutional change that effectively paved the way for development of the Chinese accounting profession into the twenty-first century.

The empirical data that inform this study come from both archival materials (mostly in Chinese) and in-depth interviews. These data are analysed and interpreted from a neo-institutionalist perspective, drawing, in particular, on the concept of institutional logics and the concept of institutional work.

A state logic initially guided the development of the Chinese accounting profession but was seriously challenged in the 1990s following a series of high profile financial scandals. The findings reveal a shift to a new professional logic, which was made possible through multiple forms of institutional works instigated by various state actors.

Research into the radical reform of the Chinese public accounting profession in the 1990s was mostly quantitative in nature, focussing mainly on one reform programme, i.e. the disaffiliation of the accounting firms from their sponsoring agencies. This paper adopts a qualitative approach and is aimed at providing a deeper and more nuanced understanding of the institutional change process within its political and economic contexts.

The purpose of this paper is to establish a combined model for selecting key indexes of complex equipment, and then improve the cost forecasting precision of the model. The problem how to choose the key elements of complex products has always been concerned on many fields, such as cost assessment, investment decision making, etc.

Using Grey System Theory to establish a cost estimation model of complicated equipment is more reasonable under the few data and poor information. Therefore, this paper constructs cost index’s system of complex equipment, and then quantitative and qualitative analysis methods are utilized to calculate the grey entropy between the characteristic parameter and the behavior parameters. Further, establish the grey relational clustering matrix of the behavior sequences by using the grey relative incidence analysis. Finally, the authors select key indicators according to the grey degree.

The experiment demonstrates that the cost key parameters of complex equipment can be successfully screened out by the proposed approach, and the cost estimation accuracy of complicated products is improved.

The method proposed in this paper could be utilized to solve some practical problems, particularly the selection of cost critical parameters for complex products with few samples and poor information. Taking the cost key indexes of civil aircraft as an example, the results verified the validity of the GICM model.

In this paper, the authors develop the method of GICM model. Taking the data of civil aircraft as an example, the authors screen the key indicators of complex products successfully, and improve the prediction accuracy of the GM (1, N) model by using the selected parameters, which provides a reference for some firms.