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The purpose of this paper is to explore how the product type (hedonic product and utilitarian product) and reward type (hedonic gift and utilitarian gift) influence customer referral likelihood in referral reward program.

The authors test the effect of the product type and reward type on referral likelihood through two studies. Study 1 produces a 2 (product type: hedonic product and utilitarian product) × 2 (reward type: hedonic gift and utilitarian gift) factorial design to test H1, H2 and H3, that is, the effect of the product type and reward type on referral likelihood and their interaction effect. On the basis of study 1, study 2 will select different subjects, different products and different incentive allocation schemes to test H1, H2 and H3 again.

The results are as follow: first, the product type has significant influences on referral likelihood. Compared with a utilitarian product, customers are more likely to make referrals when consuming a hedonic product. Second, the product type and reward type have significant interactions to referral likelihood. When rewarded a hedonic gift, customers who consumed the hedonic product have great willing to make referrals; however, when rewarded the utilitarian gift, customer who consumed the utilitarian product have great willing to make referrals.

The authors’ findings contribute to the literature of consumers’ recommendation in the following aspects. First, from the perspective of enterprises which launch referral reward program, the present research demonstrates the product type (hedonic product and utilitarian product) and reward type (hedonic gift and utilitarian gift) influence customer referral likelihood. Previous studies discuss attributes of product that influence consumers’ referral likelihood, such as product sensitivity (Kornish and Li, 2010), product involvement (Zhu et al., 2011), brand strength (Ryu and Feick, 2007) and price (Xiao et al., 2011). However, few studies focus on the hedonic and utilitarian attributes of products and explore their impact on the willingness to recommend. This paper makes a useful supplement to the research gap. Most previous studies simply divide the type of reward into tangible and intangible (Shi and Wojnicki, 2007), cash and coupon (Wang, 2010) or cash and gift (Huang et al., 2013). This paper enriches the research on reward types and refines the types of gifts in a referral reward program. The present research divides the type of reward into hedonic gifts and utilitarian gifts, and applies benefit congruency frameworks (Chandon et al., 2000), attitude theory (Eagly and Chaiken, 1993) and over-justification effect (Deci and Ryan, 1985).

This study aims to explore the recovery performances of chatbots (vs human employees) and help firms use chatbots to carry out effective service recovery.

Two experiments were conducted to test the proposed hypotheses.

The results show that compared with human employees’ recovery, chatbots’ recovery leads to lower customer satisfaction and revisit intention. This effect is more significant for symbolic recovery instead of economic recovery. Perceived distributive and interactional justice mediate the interaction effect of recovery provider and recovery strategy on recovery performance. Using immediate recovery rather than delayed recovery can attenuate chatbots’ poor performances in symbolic recovery.

This study enriches the chatbot research and the service recovery literature by deploying chatbots into the service recovery setting. Using an integrated theoretical model including recovery strategy and recovery timing, this study provides substantive insight into how firms can enhance chatbots’ recovery performances.

本研究旨在探索聊天机器人（与人类员工相比）的服务补救表现, 并帮助公司使用聊天机器人进行有效的服务补救。

本研究进行了两个实验来检验提出的理论假设

结果表明, 与人类员工的服务补救相比, 聊天机器人的服务补救导致顾客满意度和再惠顾意愿降低。 这种效应对于象征补救而非功利补救更为显著。 分配公平和互动公平在服务补救提供者和补救策略的交互作用对补救表现的影响中起到了中介作用。 使用立即补救而不是延迟补救可以减轻聊天机器人象征补救方面的不良表现。

本研究通过将聊天机器人部署到服务补救环境中丰富了聊天机器人研究和服务补救文献。 本研究通过构建包括服务补救策略和补救时机在内的综合理论模型, 为企业如何提高聊天机器人的服务补救表现提供了实质性的见解。

The purpose of this study is to identify, classify and prioritize the benefits, challenges and risks for the integrated use of building information modeling (BIM), radio frequency identification (RFID) and wireless sensor network (WSN) in the architecture, engineering, construction and operation (AECO) industry.

This study relies on the mixed method approach which consists of systematic literature review, semistructured interviews and Delphi technique. A systematic literature review was performed and face-to-face semistructured interviews with seven subject matter experts (SMEs) were conducted for identification and classification purposes. Delphi method was applied in two structured rounds with eleven SMEs for prioritization purpose. These three research techniques were chosen to reach the most accurate data by combining different perspectives on the subject matter. Data gathered by these three methods was triangulated to increase the validity and reliability of this research.

Thirteen benefits, ten challenges and four risks for the integrated use of BIM, RFID and WSN were identified. The results could aid the practitioners and researchers comprehend the pros and cons of this integration by representing SMEs’ valuable insights and perspectives about the current and future status, trends, limitations and requirements of the AECO industry. The identified risks and challenges show the requirements for future studies while the benefits demonstrate the capabilities and the potential contributions of this hybrid integration to the AECO industry.

The integration of BIM, RFID and WSN is still not commonly implemented in the AECO industry. Some studies focused on this topic; however, none of them reveals the benefits, risks and challenges for integrating BIM, RFID and WSN in a holistic manner. This research makes a significant contribution to the AECO literature and industry by uncovering the benefits, challenges and risks for the integrated use of BIM, RFID and WSN that could increase industry applications.

The purpose of this paper is to propose a distributed unmanned aerial vehicle (UAV) swarm control method to ensure safety and obstacle avoidance during swarm flight and realize effective guidance.

This paper proposes a distributed UAV swarm control framework with limited interaction. UAVs in the swarm realize the selection of limited interactive neighbors according to the random line of sight and limited field of view. The designed interaction force and obstacle avoidance mechanism are combined to ensure the safety of UAVs and avoid collisions and obstacles. Informed UAVs are deployed to guide the swarm to move in the desired direction.

The proposed distributed swarm control framework achieves high safety of swarm motion and the participation of informed UAVs is conducive to the guidance of the UAV swarm. Simulation results demonstrate the feasibility and effectiveness of the proposed approach.

The UAV swarm control method developed in this paper can be applied to the practice of UAV swarm control.

A distributed UAV swarm control method is proposed to ensure the effective control of the consistency and safety of swarm motion.

The purpose of this paper is to further explore the co-citation and bibliographic-coupling relationship among the core authors in the field of Chinese information science (IS), to expose research activity and author impact, and to make induction analyses about Chinese IS research patterns and theme evolution.

The research data include 8,567 papers and 70,947 cited articles in the IS field indexed by Chinese Social Sciences Citation Index from 2000 to 2009. Author co-citation analysis, author bibliographic-coupling analysis, social network analysis, and factor analysis were combined to explore co-citation and bibliographic-coupling relationships and to identify research groups and subjects.

Scholars with greatest impact are different from the most active scholars of Chinese IS; there is no uniform impact pattern forming since authors’ impact subjects are scattered and not steady; while authors’ research activities present higher independence and concentration, there is still no steady research pattern due to no deep research existing. Furthermore, Chinese IS studies can be delineated by: foundation or extension. The research subjects of these two parts, as well as their corresponding/contributing authors, are different under different views. The general research status of core authors is concentrated, while their impact is broad.

The combined use of some related methods could enrich the development and methodology research of the discipline, and the results establish a reference point on the development of IS research.

The publication presents an analysis of the cost and schedule performance of incentive/disincentive projects and case studies toward developing a systematic disincentive valuation process, with Construction Analysis for Pavement Rehabilitation Strategies (CA4PRS) software integration that aids agencies in minimizing the likelihood of court challenges of disincentives.

From a California transportation database, the authors performed cost and schedule analyses of 43 incentive/disincentive (I/D) projects and case studies on four of those I/D projects. Interviewees included subject matter experts from transportation organizations to ensure applicability and maximum value-adding, and the process was implemented on ten California transportation projects and monitored for performance.

The presented process mitigates the contractor's ability to claim disincentives as penalties in a court of law through the following: (1) all calculations are performed using project-specific bases, backed by estimations of actual incurred costs; (2) the CA4PRS software allows for estimation transparency and (3) the clarity of cost inclusions reduces any chances of “double-dipping” between disincentives and liquidated damages.

Transportation agencies have historically faced legal challenges to their enforcements of disincentives. As agencies continue to apply disincentives on more megaprojects, contractors will likely attempt to pursue legal challenges more frequently. The presented process mitigates the likelihood of these challenges going to court and increases the accuracy and efficiency of disincentives.

While there have been publications that discuss the legal challenges of imposing disincentives, they mainly provide guidelines and lack applicable processes. Existing literature that does present incentive/disincentive valuation process focuses on incentive valuations and neglects the disincentives' legal challenges. The following publication fills this gap by presenting an applicable disincentive valuation process for transportation projects which incorporates the guidelines for legal mitigation.

Aims to review, update, and extend the understanding of country‐of‐origin (COO) effects in China. This involves examining the nature and extent of the COO effect amongst urban Chinese consumers and the impact of COO on actual purchase behaviour.

A questionnaire is used to collect COO information from a sample of 432 Shanghai consumers and a consumer panel is used to track the purchase behaviour of the same consumers over 6 months.

First, Chinese consumers generally say they prefer to buy local Chinese grocery brands. Second, Chinese consumers believe it is important to buy local brands for a range of Chinese‐style and Western‐style product categories. Third, however, the stated preference for Chinese brands was generally not reflected in actual purchase behaviour.

The results support the growing view that Chinese consumers are not necessarily attracted to foreign brands. However, the disparity between stated preferences and behaviour suggests that there are other factors that may moderate the COO effect, such as imperfect knowledge of which brands are local or foreign.

To capitalize on the stated preference for local brands, and to address consumers’ imperfect knowledge of which brands are local or foreign, managers may benefit by promoting the Chinese origin of their brands and by positioning their brands as being local.

In contrast to the experimental designs used in previous studies, actual purchase data is measured here in a real‐life setting. The study provides a strong empirical update on the COO effect in China.

Based on literature review, the purpose of this paper is to design a comprehensive evaluation system for pharmaceutical industry from the financial perspective, and then analyses the development strategy of Chinese pharmaceutical industry according to the data of listed companies.

This paper analyses the development strategy of Chinese pharmaceutical industry through building the grey dominance evaluation model including absolute degree of grey incidence model and relative degree of grey incidence model.

Through the analysis of the grey dominance evaluation model, the authors find that four factors including total assets turnover, quick ratio, inventory turnover and current ratio can be grouped into first grade assessment indicator when evaluating the performance of Chinese pharmaceutical industry. These four indexes contain the concept of operational efficiency which shows that operation capability is the key to support the development of Chinese pharmaceutical industry, needing to be highly valued when organizations making business policy. When it comes to velocity of development, the contribution of R & D intensity is relatively small, which shows innovation ability of China’s pharmaceutical industry is still weak. Innovation is the lifeblood of enterprise development, needing to be improved to promote enterprise’s core competitiveness in the future development.

This paper selects Y1-Y7 as the performance evaluation system of pharmaceutical manufacturing enterprises, while X1-X15 as performance evaluation index system from the financial perspective, which indicated that the evaluation system is scientific and practical. The empirical result shows that the operation capability makes the largest contribution to the performance of China’s pharmaceutical industry, while R & D ability and the enterprise core competitive ability are weak.

The purpose of this study is to achieve accurate matching of new process cases to historical process cases and then complete the reuse of process knowledge and assembly experience.

By integrating case-based reasoning (CBR) and ontology technology, a multilevel assembly ontology is proposed. Under the general framework, the knowledge of the assembly domain is described hierarchically and associatively. On this basis, an assembly process case matching method is developed.

By fully considering the influence of ontology individual, case structure, assembly scenario and introducing the correction factor, the similarity between non-correlated parts is significantly reduced. Compared with the Triple Matching-Distance Model, the degree of distinction and accuracy of parts matching are effectively improved. Finally, the usefulness of the proposed method is also proved by the matching of four practical assembly cases of precision components.

The process knowledge in historical assembly cases is expressed in a specific ontology framework, which makes up for the defects of the traditional CBR model. The proposed matching method takes into account all aspects of ontology construction and can be used well in cross-ontology similarity calculations.

There are three purposes in this paper: to verify the importance of bi-directional fluid-structure interaction algorithm for centrifugal impeller designs; to study the relationship between the flow inside the impeller and the vibration of the blade; study the influence of material properties on flow field and vibration of centrifugal blades.

First, a bi-directional fluid-structure coupling finite element numerical model of the supersonic semi-open centrifugal impeller is established based on the Workbench platform. Then, the calculation results of impeller polytropic efficiency and stage total pressure ratio are compared with the experimental results from the available literature. Finally, the flow field and vibrational characteristics of 17-4PH (PHB), aluminum alloy (AAL) and carbon fiber-reinforced plastic (CFP) blades are compared under different operating conditions.

The results show that the flow fields performance and blade vibration influence each other. The flow fields performance and vibration resistance of CFP blades are higher than those of 17-4PH (PHB) and aluminum alloy (AAL) blades. At the design speed, compared with the PHB blades and AAL blades, the CFP blades deformation is reduced by 34.5% and 9%, the stress is reduced by 69.6% and 20% and the impeller pressure ratio is increased by 0.8% and 0.14%, respectively.

The importance of fluid-structure interaction to the aerodynamic and structural design of centrifugal impeller is revealed, and the superiority over composite materials in the application of centrifugal impeller is verified.