Lulu Peng, Jianchang Li, Tianhui Ren, Hua Wu and Chenyan Ma
The purpose of the research was to test whether the novel synthesized additive TEAT can be a substitution for the traditional additive ZDDP partly or entirely in mineral oil.
Abstract
Purpose
The purpose of the research was to test whether the novel synthesized additive TEAT can be a substitution for the traditional additive ZDDP partly or entirely in mineral oil.
Design/methodology/approach
The extreme pressure, antiwear (AW) and friction reducing property of TEAT was examined, the tribological property of the combination of TEAT and ZDDP was also examined. The worn surfaces of the steel balls were observed using a polarizing optical microscope and x‐ray absorption near edge structure spectroscopy.
Findings
The results show that: TEAT can enhance the PB value of the base oil obviously; TEAT shows better AW performance than ZDDP in high load and a wide range of concentration, it shows better friction‐reducing performance than ZDDP in high load and all the concentration tested; TEAT alone can provide a better AW and friction reducing property than ZDDP and the combination of TEAT and ZDDP; and the tribochemical reaction occurs between novel compound and metallic surface, generating sulfur containing layer mainly exists in the form of FeS.
Originality/value
These findings indicate that TEAT presents better tribological properties than ZDDP in a wide range of practical conditions. TEAT may be a substitute for ZDDP in the future.
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Aihui Chen, Yaning Chen, Ruohan Li and Yaobin Lu
Live-streaming e-commerce is becoming a new way for many consumers to shop. During the live broadcast process, the interaction between anchors and customers plays a decisive role…
Abstract
Purpose
Live-streaming e-commerce is becoming a new way for many consumers to shop. During the live broadcast process, the interaction between anchors and customers plays a decisive role on consumers' purchasing decisions. This study aims to explore how two types of interaction between the anchor and the customers (i.e. task-oriented interaction and relationship-oriented interaction) affect customers' purchase decisions.
Design/methodology/approach
The study establishes a model based on online trust theory and multi-sensor interaction theory. To validate the model, we carried out five simulated live-streaming events and collected data through a scenario-based survey of the viewers participating in the live-streaming (N = 244). Structural equation modeling was employed to test the hypotheses.
Findings
Both task-oriented interaction and relationship-oriented interaction have a positive impact on users' purchase decisions through the mediation of virtual touch, emotional trust and cognitive trust. Sense of power has opposite moderating effects on the impacts of relationship-oriented interaction on emotional trust and cognitive trust.
Originality/value
This study enriches the theory of live-streaming e-commerce by demonstrating the decisive roles of two types of anchor–customer interaction, the mediation roles of virtual touch, cognitive trust, and emotional trust in customer purchase decisions, as well as the moderating effect of sense of power on customer decision-making processes. The findings provide practical insights for anchors and live-streaming platforms about how they should arrange live-streaming content to enhance consumer purchasing decisions.
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Mamta Kayest and Sanjay Kumar Jain
Document retrieval has become a hot research topic over the past few years, and has been paid more attention in browsing and synthesizing information from different documents. The…
Abstract
Purpose
Document retrieval has become a hot research topic over the past few years, and has been paid more attention in browsing and synthesizing information from different documents. The purpose of this paper is to develop an effective document retrieval method, which focuses on reducing the time needed for the navigator to evoke the whole document based on contents, themes and concepts of documents.
Design/methodology/approach
This paper introduces an incremental learning approach for text categorization using Monarch Butterfly optimization–FireFly optimization based Neural Network (MB–FF based NN). Initially, the feature extraction is carried out on the pre-processed data using Term Frequency–Inverse Document Frequency (TF–IDF) and holoentropy to find the keywords of the document. Then, cluster-based indexing is performed using MB–FF algorithm, and finally, by matching process with the modified Bhattacharya distance measure, the document retrieval is done. In MB–FF based NN, the weights in the NN are chosen using MB–FF algorithm.
Findings
The effectiveness of the proposed MB–FF based NN is proven with an improved precision value of 0.8769, recall value of 0.7957, F-measure of 0.8143 and accuracy of 0.7815, respectively.
Originality/value
The experimental results show that the proposed MB–FF based NN is useful to companies, which have a large workforce across the country.
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Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects…
Abstract
Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.
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Samuel Ogbeibu, Abdelhak Senadjki and Tan Luen Peng
The purpose of this paper is to elicit a conceptual understanding of the moderating effect of trustworthiness on the relationship between organisational culture and employee…
Abstract
Purpose
The purpose of this paper is to elicit a conceptual understanding of the moderating effect of trustworthiness on the relationship between organisational culture and employee creativity.
Design/methodology/approach
This study is theoretical in nature and draws conceptual insights from an integration of theoretical and conceptual underpinnings: the competing values framework, trustworthiness from the integrative model of organisational trust and the componential theory of individual creativity.
Findings
Trustworthiness plays a major role in influencing the degree at which managers engender employee creativity. This study postulates that clan and adhocracy organisational culture dimensions have a positive impact on employee creativity, while market and hierarchy organisational culture dimensions have negative impacts on employee creativity. Employee creativity would be engendered if organisational cultures are tailored towards improving the ability of employees. Engendering of employee creativity is contingent on an acceptable degree of benevolence and integrity expressed between managers and their respective employees.
Originality/value
By integrating several methodological underpinnings to produce a multidimensional model for engendering employee creativity, from the lens of a supportive organisational culture, this study offers novel insights for both managerial practice and actions.
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Luonan Li, Wangyue Zhou and Yuangao Chen
This study explores the effects of virtual streamer characteristics, virtual scene characteristics and streamer image-scene fit on users’ watching intention from the perspective…
Abstract
Purpose
This study explores the effects of virtual streamer characteristics, virtual scene characteristics and streamer image-scene fit on users’ watching intention from the perspective of flow experience.
Design/methodology/approach
The survey data for this study were collected from the QQ fan group of virtual streamers between November 26th 2022 and December 5th 2022. The authors survey 274 viewers who have experience of watching virtual streaming and employ the partial least squares structural equation model to test the research hypotheses.
Findings
Among the characteristics of virtual streamers, interactivity significantly influences users’ perceived enjoyment and concentration, while vividness only affects perceived enjoyment. In addition, the novelty of the virtual scene has a notable impact on users’ perceived enjoyment and concentration, whereas aesthetic appeal serves as an important indicator solely for concentration. Furthermore, the virtual streamer image-scene fit also affects users’ perceived enjoyment and concentration. Finally, perceived enjoyment and concentration equally contribute to users' watching intention.
Originality/value
This study explores the impact of virtual streamer characteristics, virtual scene characteristics and streamer image-scene fit on users’ watching intention, which enriches the research on user behavioral intention in virtual streaming. Additionally, this study attempts to combine the stimulus-organism-response (S-O-R) model and flow theory in the field of virtual streaming, expanding the research areas. Finally, this study also provides valuable insights for virtual streamers and virtual streaming platforms. By enhancing their virtual personas and optimizing their streaming strategies, virtual streamers can more effectively retain users and maintain audience engagement. Meanwhile, virtual streaming platforms can gain a deeper understanding of user preferences, enabling them to launch high-quality events that sustain user popularity. These efforts collectively contribute to the advancement of the virtual streaming industry.