Jianhua Ding, Jianhua Fang, Boshui Chen, Nan Zhang, Xingyu Fan and Zhe Zheng
This paper aims to understand the influences of tris (2-hydroxyethyl) isocyanurate oleate and oleic acid tris (2-hydroxyethyl) isocyanurate phosphate ester on biodegradability and…
Abstract
Purpose
This paper aims to understand the influences of tris (2-hydroxyethyl) isocyanurate oleate and oleic acid tris (2-hydroxyethyl) isocyanurate phosphate ester on biodegradability and tribological performances of mineral lubricating oil.
Design/methodology/approach
Tris (2-hydroxyethyl) isocyanurate oleate and oleic acid tris (2-hydroxyethyl) isocyanurate phosphate ester were prepared and characterized by Fourier transform infrared spectrometer. The biodegradability and tribological properties of neat oil and its formulations were studied on a tester for fast evaluating biodegradability of lubricants and a four-ball tester, respectively. The worn surfaces were investigated by scanning electron microscope and X-ray photoelectron spectroscope.
Findings
Tris (2-hydroxyethyl) isocyanurate oleate and oleic acid tris (2-hydroxyethyl) isocyanurate phosphate ester both improved markedly the biodegradability, the anti-wear properties, friction-reducing properties and extreme pressure properties of base oil. The effect of oleic acid tris (2-hydroxyethyl) isocyanurate phosphate ester was better than tris (2-hydroxyethyl) isocyanurate oleate. The improvement of tribological performances was mainly ascribed to the formation of a complicated boundary lubrication film of tris (2-hydroxyethyl) isocyanurate oleate and oleic acid tris (2-hydroxyethyl) isocyanurate phosphate ester on the friction surfaces.
Originality/value
This paper has indicated that tris (2-hydroxyethyl) isocyanurate oleate and oleic acid tris (2-hydroxyethyl) isocyanurate phosphate ester effectively improve the biodegradability and tribological performances of mineral lubricating oil. Promoting biodegradation of mineral lubricant by additives is very significant for the development of petroleum-based biodegradable lubricants. These two additives not merely improve the tribological performances; more importantly, they improve the ecological performances.
Details
Keywords
Yi-Hsin Lin, Ruixue Zheng, Fan Wu, Ningshuang Zeng, Jiajia Li and Xingyu Tao
This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a…
Abstract
Purpose
This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a blockchain-driven financing credit evaluation framework was designed to improve the transparency, credibility and applicability of the financing credit evaluation process.
Design/methodology/approach
The design science research methodology was adopted to identify the main steps in constructing the financing credit model and blockchain-driven framework. The fuzzy analytic hierarchy process (FAHP)–entropy weighting method (EWM)–set pair analysis (SPA) method was used to design a financing credit evaluation model. Moreover, the proposed framework was validated using data acquired from actual cases.
Findings
The results indicate that: (1) the proposed blockchain-driven financing credit evaluation framework can effectively realize a transparent evaluation process compared to the traditional financing credit evaluation system. (2) The proposed model has high effectiveness and can achieve efficient credit ranking, reflect SMREEs' credit status and help improve credit rating.
Originality/value
This study proposes a financing credit evaluation model of SMREEs based on the FAHP–EWM–SPA method. All credit rating data and evaluation process data are immediately stored in the proposed blockchain framework, and the immutable and traceable nature of blockchain enhances trust between nodes, improving the reliability of the financing credit evaluation process and results. In addition, this study partially fulfills the lack of investigations on blockchain adoption for SMREEs' financing credit.
Details
Keywords
YooHee Hwang, Xingyu Wang and Priyanko Guchait
Considerable research has examined the negative consequences of customer incivility on employees (e.g. turnover intention and sabotage behavior toward the customer). However…
Abstract
Purpose
Considerable research has examined the negative consequences of customer incivility on employees (e.g. turnover intention and sabotage behavior toward the customer). However, there is scant research investigating how other customers, as observers, may react to incivility. This knowledge gap should be filled because hospitality services are often consumed in the public setting where customers can observe and be influenced by each other. The purpose of this study is to fill this gap by examining observing customers’ willingness to revisit the company following customer incivility.
Design/methodology/approach
Participants are American consumers recruited from a crowdsourced online panel. Two scenario-based experimental studies in the restaurant setting are conducted. Customer incivility and relationship norms (communal versus exchange) are manipulated, while relationship closeness is measured.
Findings
Study 1 shows that following fellow customer incivility (vs civility), observing customers’ intention to revisit the company was lower when they perceive a distant relationship with the employee. This intention did not differ regardless of incivility and civility when they perceive a close relationship with the employee. Study 2 shows that when observing customers perceive a communal relationship with the employee, their revisit intention was even higher following customer incivility (vs civility).
Practical implications
Hospitality managers need to train employees to identify signs of customer incivility and assume appropriate actions to reduce the negative consequences on observers. Hospitality managers should also communicate their expectations for respectful customer behaviors through an organization-wide campaign. Finally, hospitality businesses should foster a close relationship with their customers, particularly a communal relationship to offset the negative consequences of customer incivility on observers.
Originality/value
This study adds to previous research by challenging the universally negative view of customer incivility. The authors do so by examining the moderating effects of relationship closeness and norms in observer reactions to customer incivility. This study contributes to previous research drawing on script theory and deontic justice theory.
Details
Keywords
Renping Zhang, Xingyu Chen, Wei Wang and Mohsin Shafi
This study aims to explore the impact of firm-generated content (FGC) on viral marketing on multiple social media platforms, and how social ties embedded in different social media…
Abstract
Purpose
This study aims to explore the impact of firm-generated content (FGC) on viral marketing on multiple social media platforms, and how social ties embedded in different social media platforms affect the motives for social dissemination.
Design/methodology/approach
Three studies were conducted to test the model. A quasi-field experiment (Study 1) supported this main effect. Studies 2 and 3 examined the underlying mechanism and enhanced the internal and external validity of the findings.
Findings
The findings revealed that warmth (vs competence)-oriented FGC is consistent with the communion (vs agency) mode and elicits greater social dissemination on social media embedded with strong (vs weak) ties.
Practical implications
This study illustrates that FGC that matches communication modes on multiple social media platforms embedded with different social ties will trigger viral marketing and being aware of this match is crucial for policymakers.
Originality/value
This research sheds light on the effects of FGC on viral marketing on multiple social media platforms embedded in different social ties.
Details
Keywords
Yanhong Gan, Xingyu Gao, Wenhui Zhou, Siyuan Ke, Yangguang Lu and Song Zhang
The advanced technology enables retailers to develop customer profile analysis (CPA) to implement personalized pricing. However, considering the efficiency of developing CPA, the…
Abstract
Purpose
The advanced technology enables retailers to develop customer profile analysis (CPA) to implement personalized pricing. However, considering the efficiency of developing CPA, the benefit to different retailers of implementing more precise personalized pricing remains unclear. Thus, this essay aimed to investigate the impact of efficiency on participants’ strategies and profits in the supply chain.
Design/methodology/approach
A two-stage game model was introduced in the presence of a manufacturer who sets his wholesale price and a retailer that decides her CPA strategy. The equilibrium results were generated by backward induction.
Findings
Most retailers are willing to develop the highest CPA to implement perfect personalized pricing, but those inefficient retailers with high production costs would like to determine a middle CPA to implement bounded personalized pricing. The retailers’ profits may decrease with the efficiency of developing CPA when the efficiency is middle. In this case, as the efficiency improves, the manufacturer increases the wholesale price, resulting in lower demand and thus lower profits. Moreover, define a Pareto Improvement (PI) strategy as one that benefits both manufacturers and retailers. Therefore, uniform pricing is a PI when the unit cost is high and the efficiency is low; personalized pricing is a PI when the unit cost is low and the efficiency is low or high; otherwise, there is no PI.
Originality/value
This study is the first that investigates how the retailer develops CPA to implement personalized pricing on a comprehensive spectrum, which can provide practical insights for retailers with different efficiencies.
Details
Keywords
Fatemeh Shaker, Arash Shahin and Saeed Jahanyan
The purpose of this paper is to propose an integrative approach for improving failure modes and effects analysis (FMEA).
Abstract
Purpose
The purpose of this paper is to propose an integrative approach for improving failure modes and effects analysis (FMEA).
Design/methodology/approach
An extensive literature review on FMEA has been performed. Then, an integrative approach has been proposed based on literature review. The proposed approach is an integration of FMEA and quality function deployment (QFD). The proposed approach includes a two-phase QFD. In the first phase, failure modes are prioritized based on failure effects and in the second phase, failure causes are prioritized based on failure modes. The proposed approach has been examined in a case example at the blast furnace operation of a steel-manufacturing company.
Findings
Results of the case example indicated that stove shell crack in hot blast blower, pump failure in cooling water supply pump and bleeder valves failed to operate are the first three important failure modes. In addition, fire and explosion are the most important failure effects. Also, improper maintenance, over pressure and excess temperature are the most important failure causes. Findings also indicated that the proposed approach with the consideration of interrelationships among failure effects, failure mode and failure causes can influence and adjust risk priority number (RPN) in FMEA.
Research limitations/implications
As manufacturing departments are mostly dealing with failure effects and modes of machinery and maintenance departments are mostly dealing with causes of failures, the proposed model can support better coordination and integration between the two departments. Such support seems to be more important in firms with continuous production lines wherein line interruption influences response to customers more seriously. A wide range of future study opportunities indicates the attractiveness and contribution of the subject to the knowledge of FMEA.
Originality/value
Although the literature indicates that in most of studies the outcomes of QFD were entered into FMEA and in some studies the RPN of FMEA was entered into QFD as importance rating, the proposed approach is a true type of the so-called “integration of FMEA and QFD” because the three main elements of FMEA formed the structure of QFD. In other words, the proposed approach can be considered as an innovation in the FMEA structure, not as a data provider prior to it or a data receiver after it.
Details
Keywords
Junyi Chen, Buqing Cao, Zhenlian Peng, Ziming Xie, Shanpeng Liu and Qian Peng
With the increasing number of mobile applications, efficiently recommending mobile applications to users has become a challenging problem. Although existing mobile application…
Abstract
Purpose
With the increasing number of mobile applications, efficiently recommending mobile applications to users has become a challenging problem. Although existing mobile application recommendation approaches based on user attributes and behaviors have achieved notable effectiveness, they overlook the diffusion patterns and interdependencies of topic-specific mobile applications among user groups. mobile applications among user groups. This paper aims to capture the diffusion patterns and interdependencies of mobile applications among user groups. To achieve this, a topic-aware neural network-based mobile application recommendation method, referred to as TN-MR, is proposed.
Design/methodology/approach
In this method, first, the user representations are enhanced by introducing a topic-aware attention layer, which captures both the topic context and the diffusion history context. Second, it exploits a time-decay mechanism to simulate changes in user interest. Multitopic user representations are aggregated by the time decay module to output the user representations of cascading representations under multiple topics. Finally, user scores that are likely to download the mobile application are predicted and ranked.
Findings
Experimental comparisons and analyses were conducted on the actual 360App data set, and the results demonstrate that the effectiveness of mobile application recommendations can be significantly improved by using TN-MR.
Originality/value
In this paper, the authors propose a mobile application recommendation method based on topic-aware attention networks. By capturing the diffusion patterns and dependencies of mobile applications, it effectively assists users in selecting their applications of interest from thousands of options, significantly improving the accuracy of mobile application recommendations.
Details
Keywords
Liying Zhou, Fei Jin, Banggang Wu, Xiaodong Wang, Valerie Lynette Wang and Zhi Chen
This study aims to examine if the participation of live-stream influencers (LSIs) affects tipping frequency on live streaming platforms, and further investigate the mediating and…
Abstract
Purpose
This study aims to examine if the participation of live-stream influencers (LSIs) affects tipping frequency on live streaming platforms, and further investigate the mediating and moderating mechanisms.
Design/methodology/approach
Quasi-experiment and difference-in-differences models are used for data analysis. Propensity score matching is used to address potential unobservable endogeneity.
Findings
Real-time live streaming data reveal that LSIs’ participation significantly improves tipping frequency in live streaming rooms. Also, more users are attracted to the live streaming rooms and more users become active in participation. Additionally, the positive impact of LSIs’ participation is enhanced in the live streaming rooms with a greater number of relationship links between users.
Research limitations/implications
The findings clarify the new role of influencers and reveal the mechanisms on how LSIs benefit the platforms.
Practical implications
The findings offer novel insights into implementing influencer marketing to interactive social media platforms, by encouraging influencer participation, user relationship building and influencer network growth.
Originality/value
This study highlights the value of LSIs for interactive social media platforms in terms of organic growth, revenue generation and cost reduction.