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This study aims to understand how abusive supervision influences employees’ unethical pro-organizational behavior (UPB). In particular, the mediating effect of moral disengagement and moderating role of traditionality on this relationship were examined.

This study conducted a two-wave questionnaire survey using data collected from 629 employees from different companies in China. Moderated mediation analysis was conducted to test the hypotheses.

The results show that moral disengagement mediates the relationship between abusive supervision and employees’ UPB. Employee traditionality enhances the relationship between abusive supervision and moral disengagement as well as the indirect effect of abusive supervision on employees’ UPB via moral disengagement.

First, by exploring the positive impact of abusive supervision on UPB, the authors enhance the current understanding of the role of negative leadership in the development of UPB and enrich the research on the antecedents of UPB and outcomes of abusive supervision. Second, based on social cognitive theory, this study enriches the literature on abusive supervision and employee UPB by identifying moral disengagement as a mediator. Third, to the best of the authors’ knowledge, the authors are among the first to incorporate traditionality to tell a Chinese story about how traditional employees respond to the effects of abusive supervision on UPB, providing a new lens for the cultural boundary condition in the occurrence mechanism of UPB.

Customer knowledge from social media can become an important organizational asset. The purpose of this paper is to identify useful customer knowledge including knowledge for customer, knowledge about customers and knowledge from customers from social media data and facilitate social media-based customer knowledge management.

The authors conducted a case study to analyze people’s online discussion on Twitter regarding laptop brands and manufacturers. After collecting relevant tweets using Twitter search APIs, the authors applied statistical analysis, text mining and sentiment analysis techniques to analyze the social media data set and visualize relevant insights and patterns in order to identify customer knowledge.

The paper identifies useful insights and knowledge from customers and knowledge about customers from social media data. Furthermore, the paper shows how the authors can use knowledge from customers and knowledge about customers to help companies develop knowledge for customers.

This is an original social media analytics study that discusses how to transform large-scale social media data into useful customer knowledge including knowledge for customer, knowledge about customers and knowledge from customers.

This study aims to integrate fall-protection function into the elderly clothing to meet both the daily life and fall-protection needs of the elderly people, thereby upgrading the performance of elderly clothing.

This study identified the design strategies of elderly clothing using an Extended Kansei Engineering methodology. Extended Kansei Engineering methodology is a new design framework developed from the traditional Kansei Engineering methodology to meet the design requirements of the product-service system. This study focuses on the product section of product-service system design. According to the product design process of the Extended Kansei Engineering methodology, this study first collected and organized the design elements and Kansei words of elderly clothing. Then a questionnaire was designed using Semantic Differential Scale. Finally, the questionnaire survey was conducted and the collected data was analysed to understand the consumption preferences of elderly people. A total of 399 elderly people aged 65 and older provided valuable design insights for this survey.

The research findings include the product design strategies for the development of elderly clothing, as well as a product prototype canvas and a product prototype elderly clothing developed based on the design strategies.

The research findings can provide competitive design strategies for the development of elderly clothing, thereby upgrading the performance of elderly clothing.

This elderly clothing integrates fall-protection function to reduce the risk of injury for elderly people due to falls, thereby helping society alleviate the medical and healthcare pressure caused by falls for elderly people.

The research findings can provide competitive design strategies for the development of elderly clothing. Furthermore, the Extended Kansei Engineering methodology introduced in this study can provide product and service designers with design methods that are more in line with the development trend of modern product-service system business models.

This paper aims to investigate the thermal characteristics of the clutch hydraulic system under various oil flow conditions. Increasing the oil flow is one of the most important approaches to reduce the clutch temperature. However, the effect of the oil flow on the clutch temperature remains to be explored.

The thermal resistance network model and the lumped parameter method are used to study the thermal characteristics of the clutch hydraulic system. The predicted temperature variations of the clutch and the oil are compared with experimental data.

Results demonstrate that the larger the friction power is, the higher the temperatures of the clutch and the oil are. However, the temperature growth rates of the clutch and oil present different trends: the former decreases gradually and the latter increases constantly. Additionally, increasing the oil flow within a certain range gives rise to the decrease of clutch temperature and the increase of oil temperature; nevertheless, their variation trends are gradually weakening. When the oil flow is large enough, it brings a slight effect on the clutch temperature rise.

This paper extends the knowledge into the oil flow supply of the clutch hydraulic system. The conclusions can provide a theoretical guidance for the oil management of the transmission system. Additionally, the thermal resistance network model is also effective and efficient for other hydraulic equipment to predict the temperature variation.

This study aims to the preparation and tribological characteristics of graphene/triangular copper nanoplate composites (abbreviated as GN/Cu nanoplates) as grease additive and clarifies the growth mechanism and tribological mechanism of GN/Cu nanoplates by different analysis methods. In this paper, it is expected to alleviate the problems of easy aggregation and poor dispersion stability of graphene in lubricants and provide theoretical support for the application of graphene and its composites in the tribology field.

In this study, the GN/Cu nanoplates have been successfully prepared by the electrostatic self-assembly method. The structural characteristics of GN/Cu nanoplates were analyzed via transmission electron microscopy and X-ray diffraction. Then the tribological properties of GN/Cu nanoplates were investigated under different loads with SRV-IV [Schwingung, Reibung, Verschleiß (German); oscillating, friction, wear (English translation)] tribotester. White-light interferometry was applied to quantify the wear loss of the disk. The element chemical state on worn surfaces was analyzed by an X-ray photoelectron spectroscope to clarify the tribological mechanism of graphene composites.

The electrostatic force between the negative charge of graphene and the positive charge of triangular copper nanoplates promotes the self-assembly of GN/Cu nanoplates. With the addition of GN/Cu nanoplates, the wear loss and average friction coefficient under the load of 200 N have been decreased by 72.6% and 18.3%, respectively. It is concluded that the combined action of graphene deposition film and the copper melting film formed on the worn surface could effectively improve the antiwear ability and friction reduction performance of the grease.

This manuscript fulfills a new approach for the preparation of GN/Cu nanoplates. At the same time, its tribological properties and mechanism as a lubricating additive were studied which provide theoretical support for the application of graphene and its composites in the tribology field.

This study aims to investigate the effect of microtextured tools on the geometric morphology of serrated chips, and further improve the cutting performance of polycrystalline cubic boron nitride (PCBN) tool and extend the tool life and the surface quality of the machined surface.

A three-dimensional finite element cutting model of hardened steel AISI D2 with microtextured PCBN tools were established using the finite element software Abaqus, and cutting tests were carried out. Furthermore, the stress distribution in the primary deformation zone was investigated based on the triaxiality of stress, and the influence of microtexture on the geometric morphology of serrated chips and crack development was researched.

The results show that compared with nontexture tools, elliptical pits and wavy grooves microtexture tools have lower serrated degree Gs, higher serrated frequency f per unit length and more miniature serrated step Pc. The serrated phenomenon is intensified because the tensile stress zone of chips generated by nontextured tools is longer than that of elliptic pits and wavy grooves microtexture tools. Simultaneously, the maximum value of triaxiality in the tensile stress zone achieved by nontexture tools is larger than that of the two microtexture tools, and chips obtained by nontextured tools are more susceptible to propagation fractures.

This paper mainly studies the effect of microtexture on chip microgeometry, which is relatively little studied at present. At the same time, this paper has a certain engineering significance for PCBN tool turning hardening steel.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2023-0149/

The paper aims to examine the relationships among marathon spectator motivation, satisfaction and behavioral intention in China.

Date were collected from three Chinese marathon races. The paper presents the conceptual model of the study and adopted a mixed method to identify the motivations of marathon spectators; structural equation modeling (SEM) was used to test the measurement and substantive models; regression analysis was used to detect the specific effects of the various spectator motivations on spectator satisfaction and behavioral intention.

The paper provides empirical evidences about how marathon spectator motivation affects the behavioral intention. The research results from a path analysis of the spectator motivation–satisfaction–behavioral intention model show that: spectator motivation has significant positive effects on behavioral intention, the indirect path dominates the total effect of motivation on behavioral intention via satisfaction as a mediating variable; satisfaction is positively associated with behavioral intention, and it plays mediate role between spectator motivation and behavioral intention. The result of regression analysis indicates that various spectator motivations have different influences on the satisfaction and behavioral intention, motives of excitement and diversion have significant effect on satisfaction and behavioral intention, but socialization motive is not significantly associated with the satisfaction and behavioral intention.

This paper first fulfills an identified need to explore mass sports event spectator motivations and its influential mechanism on behavioral intention among Chinese marathon races by survey. It contributes greatly to the literature of mass sports spectator motivation and consumption theory, provides important managerial implications for Chinese sports organizations as to how to improve spectator orientation degree.

This paper aims to study and compare the friction stability of wet paper-based clutches with regard to the radial grooves (RG) and waffle grooves (WG).

This paper presents an experimental study of a wet clutch concerning the effect of groove patterns on the friction torque and surface temperature. The friction stabilities of RG and WG are investigated with the applied pressure, rotating speed and automatic transmission fluid (ATF) temperature taken into consideration.

The friction torque and surface temperature of WG are larger than those of RG under the same operating condition. The friction torque difference between RG and WG grows with the increase of applied pressure and narrows with the increase of ATF temperature. Additionally, their temperature difference expands via increasing the rotating speed and ATF temperature or reducing the applied pressure; in this way, not only the variable coefficient difference between RG and WG can be narrowed, but also the friction stability of the clutch can be improved dramatically.

This paper explains the thermodynamic differences between RG and WG; moreover, it is verified experimentally that WG has a better friction stability than RG.

The purpose of this study is to investigate the research on the influence of tech-innovation behavior on tech-innovation performance for Chinese manufacturing enterprises. Environmental performance has been taken into consideration with the green manufacturing and sustainability philosophy being a hotspot.

To verify the hypotheses and assumptions, a questionnaire was designed and a semi-structured interview was conducted for data collection. In addition, structural equation modeling (SEM) is applied to verify the influence model through assessing the fitting indexes based on the 317 questionnaire responses in the form of Likert-type scale.

Tech-innovation behavior and activity from direction, mode and investment behavior dimensions show their different positive influences on tech-innovation performance. This paper has creatively taken environmental tech-innovation performance into consideration, as well as economic performance. This investigation has provided the interpretation for each individual enterprise from three dimensions when conducting tech-innovation activity.

Tech-innovation behavior, which has been a subject of extended discussion during recent decades, is the effective activity or action for tech-innovation. However, there have not been any studies on the environmental performance influence study, as well as the economic performance from these three dimensions and framework.

As this paper discusses the tech-innovation performance influence study from three dimensions, individual enterprises can choose the corresponding action for the proper tech-innovation path, especially for small- and medium-sized enterprises.

This study helps managers recognize tech-innovation activities for better tech-innovation performance based on the empirical study.

Customer acquisition and retention methods are the most critical issues for any enterprise. By identifying potential customers and targeting them through marketing activities, enterprises can minimize marketing costs and maximize transaction probability. However, because market surveys are labor- and time-consuming, and data mining is ineffective for obtaining competitor data, enterprises may be unable to understand real-time changes in market trends and consumer preferences. The paper aims to discuss these issues.

This study developed a mechanism that automatically searches for potential customers in virtual communities. In addition, a common product attribute (CPA) model was developed based on the five dimensions of the theory of consumption values and a questionnaire survey was conducted to verify the corresponding relationships. Subsequently, the authors quantified and applied the relationship between the proposed CPA model and consumption values theory.

During the experiment, functional and social values yielded more accurate predictions. Contrary to our expectations, emotional value yielded an inaccurate prediction of potential customers. The overall precision was 0.74, with a threshold of 0.5.

Due to each industry including the distinctive characteristics and attributes regarding its products, the methods and models were only adopted in food industry for testing effectiveness.

Considering the food industry as an example, this study adopted the case study method to screen potential customers based on 400 articles from virtual communities, and combined a latent semantic analysis method with a backpropagation neural network to verify the effectiveness of the proposed method.

By adopting the proposed enterprise-product profile model, enterprises can compile basic information related to their products and industry. The proposed system can be used by enterprises to identify potential customers in areas with potential for market development.