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Due to customers' extensive avoidance behavior, social commerce may be less successful than anticipated. This study investigates the underlying mechanism and antecedents that influence customers' avoidance of peer-generated advertisements.

Based on the general framework of avoidance behavior, we propose a theoretical model for the context of a mobile social network, with tie strength as the user-related factor and violation of shared language, advertisement relevance and information overload as contextual variables. Using survey data collected from 334 customers on WeChat, we empirically examine the research model and hypotheses.

Tie strength and advertisement relevance are negatively associated with avoidance behavior, whereas information overload and violation of shared language have significantly positive effects. Furthermore, tie strength weakens the negative relationship between violation of shared language and avoidance behavior but strengthens the positive relationship between advertisement relevance and avoidance behavior.

The findings extend understanding of advertisement avoidance behavior and can guide practitioners' improvement of advertising efficiency in mobile social networks.

The purpose of this paper is to provide insight into institutions of higher education (IHE) on how to support faculty in the integration of digital technologies. The research explores faculty interest in types of digital technology information and training, and the types of support faculty are likely to participate in related to digital technology integration. The association of demographic factors of primary teaching method, and experience teaching online or hybrid is provided.

A sample of 247 faculty from 53 institutions in the USA completed an online survey related to information, training and support for digital technology integration. The analysis included exploring the descriptive ratings overall and by demographic variable and conducting the one-way multivariate analysis of variance (MANOVA) with reported effect sizes and Scheffe post-hoc tests.

From a list of digital technologies that included the LMS, Collaboration Tools (social media and online meeting tools), Audio-Visual Tools (video creation and podcasts), and Technology Trends (mobile learning, games and adaptive learning), faculty ranked LMS highest in interest for training and information. Faculty who have taught hybrid are most interested in collaboration tools and trend tools. For support type, faculty ranked web resources slightly higher than other types of support.

IHE units involved in faculty development can use the findings to plan faculty support initiatives for future institutional needs.

This paper gathers insight from faculty on their preferences for information, training, and support for integrating digital technologies.

The purpose of this paper is to empirically test a research model that incorporated antecedents of praise feedback behaviour (fear of confrontation and incentive for reducing nuisance costs), praise feedback behaviour (deliberatively praise feedback, casual praise feedback, and true compliment feedback) and consequences (trust and repurchase intention).

A structural equation model was employed to test the relationships of the research model using survey data collected from 398 Taobao consumers.

The results showed that fear of confrontation and incentive for reducing nuisance costs had a significant positive influence on deliberatively praise feedback and true compliment feedback, respectively, and both antecedents had a significant positive influence on casual praise feedback of consumers. It also showed that trust was influenced negatively by deliberatively praise feedback, and positively by casual praise feedback and true compliment feedback. Meanwhile, deliberatively praise feedback and true compliment feedback were found to have negative and positive influences on repurchase intention, respectively.

This research was a pilot study to identify a three-dimension conceptualization of praise feedback behaviour from the perspective of customer satisfaction, and to understand positive review bias from the perspective of input processes.

The traction cable is paralleled with the existing traction network of electrified railway through transverse connecting line to form the scheme of long distance power supply for the traction network. This paper aims to study the scheme composition and power supply distance (PSD) of the scheme.

Based on the structure of parallel traction network (referred to as “cable traction network (CTN)”), the power supply modes (PSMs) are divided into cable + direct PSM and cable + autotransformer (AT) PSM (including Japanese mode, French mode and new mode). Taking cable + Japanese AT PSM as an example, the scheme of long distance power supply for CTN under the PSMs of co-phase and out-of-phase power supply are designed. On the basis of establishing the equivalent circuit model and the chain circuit model of CTN, taking the train working voltage as the constraint condition, and based on the power flow calculation of multiple train loads, the calculation formula and process for determining the PSD of CTN are given. The impedance and PSD of CTN under the cable + AT PSM are simulated and analyzed, and a certain line is taken as an example to compare the scheme design.

Results show that the equivalent impedance of CTN under the cable + AT PSM is smaller, and the PSD is about 2.5 times of that under the AT PSM, which can effectively increase the PSD and the flexibility of external power supply location.

The research content can effectively improve the PSD of traction power supply system and has important reference value for the engineering application of the scheme.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

With the prevalence of enterprise social media (ESM), this study examines how the innovative and routine ESM use behaviors in the post-acceptance stage influence the quality and quantity dimensions of information processing (i.e. information equality and information overload), subsequently affecting employee autonomy grounded in the digital information management theoretical (DIMT) framework. This study further explores the moderating effects of communication visibility on the relationships between employee autonomy and each of the two information processing factors.

The proposed theoretical model was empirically validated using survey data of 266 knowledge workers that use ESM in a hybrid working context.

The results demonstrate that innovative and routine ESM use have different impacts on the quality and quantity dimensions of information processing, and information equality (quality dimension) improves employee autonomy as expected, but, surprisingly, information overloads (quantity dimension) as well. ESM communication visibility positively moderates the relationship between employee autonomy and each dimension of information processing.

Prior studies on ESM use widely focused on ESM's positive and negative outcomes and the mechanisms from the perspectives of employees' psychological and cognitive reactions. How ESM use behaviors in the post-acceptance stage empower employee autonomy and allow organizations to leverage the organizations' information technology (IT) investments remains unclear. Drawing on the information processing perspective, this study provides a novel angle to examine how to leverage IT values that stem from ESM use by considering the complementary roles of active and passive information processing.

Widespread concerns about excessive use of mobile instant messaging (MIM) have inspired research in different disciplines. However, the focus thus far tends to be on diagnostics and cognitive predictors. There is little understanding from the socio-technical perspective to capture the drivers of excessive use of MIM. To address this research gap, the authors aim to enrich existing literature by adopting a social structure and social learning model (SSSLM) to understand the excessive use of MIM. The authors argue that excessive MIM use is developed and reinforced in highly interactive online communication, through a social learning process.

The authors conduct a cross-sectional online survey to validate our proposed research model on excessive use of mobile instant messaging (MIM). 368 valid responses are obtained from active MIM users in China.

The results suggest that highly interactive MIM creates a technology-based social structure that facilitates the social learning process of excessive technology use. The influence of perceived interactivity of MIM on excessive MIM use is mediated by a series of contextualized social learning factors. Furthermore, the influences of perceived interactivity on social learning factors are moderated by MIM use experience.

The authors contribute to literature in related fields by highlighting the crucial role of social learning in facilitating excessive technology use. The authors contribute to the social structure and social learning model by contextualizing it into the context of excessive MIM use. Design guidelines are provided with a purpose to inhibit excessive use of MIM.

Due to interactive fluctuations during service encounters, fuzzy requests frequently occur from either frontline employees or customers. While such requests from customers have been drawn wide attention, there exists a lack of research on frontline employees’ fuzzy requests and possible outcomes (e.g. compliance or refusal). The purpose of this study is thus to identify the underlying mechanism and enacting variables that influence customers’ compliance behaviour (i.e. positive outcome) to fuzzy requests.

Data were collected from a sample of ten express service companies in southeast China. The proposed model was empirically tested among 309 customers and further analysed through structural equation modelling.

The results indicated that expected technical quality, perceived reasonableness and perceived convenience are positively associated with compliance behaviour, whereas the effects of inertia and negative emotional response on compliance behaviour are significantly negative. The findings also demonstrated that negative emotional response partially mediates the impacts of expected technical quality, perceived reasonableness and inertia on compliance behaviour.

This study investigates an under-researched phenomenon, namely, frontline employees’ fuzzy requests in the service context. The underlying mechanism of customers’ compliance behaviours to fuzzy requests is articulated through an integration of three beliefs with emotional response. As an early exploration of employees’ fuzzy requests, this study provides important theoretical and managerial implications.

The purpose of this paper is to examine the relationship between school climate and teacher stress. Specifically, the authors construct two parsimonious models to test two main hypotheses. First, whether preschool collegial leadership predicts teachers’ job stress through the mediating role of teacher self-efficacy; second, whether teacher professionalism influences teachers’ perceptions of occupational stress through the mediating role of teacher self-efficacy.

The authors conceptualized the mediating role of teacher efficacy as an important mechanism that can help to explain the effect of school climate on teacher stress. School climate consisted of two dimensions: principal collegial leadership and professionalism. Therefore, the authors constructed and examined two mediation models by using Bootstrapping mediation modeling: first, preschool teacher self-efficacy as a mediator between preschool collegial leadership and teacher stress; second, preschool teacher self-efficacy as a mediator between preschool teacher professionalism and teacher stress.

Results from two mediation analyses showed that principal collegial leadership exerts a significant negative effect on preschool teachers’ stress through the mediating role of teacher self-efficacy. Moreover, professionalism was also a significant predictor of preschool teachers’ stress through the mediating role of teacher self-efficacy.

This study contributes to the literature in terms of understanding the mechanism of how school climate helps to reduce teacher stress. First, the authors found that teachers’ individual well-being can be efficiently enhanced through a more collegial leadership. Second, the preschool leadership teams can create a supportive climate to reduce teachers’ stress by improving teachers’ professionalism.

This study offers a new perspective about understanding the internal and external mechanism of teacher stress. The authors discussed the results in light of the recent push by the Chinese Government to teacher quality improvement in early childhood education. The authors argued for prioritizing support for building a supportive school climate for teachers.

Personally owned mobile information and communication technologies (MICT) have been widely and routinely used for work purposes in the post-pandemic workplace. Drawing on adaptive structuration theory for individuals (ASTI), this study investigates the antecedents (i.e. characteristics of MICT) and outcomes (i.e. employee affective and cognitive well-being) of routine MICT use in the remote work context.

The research model was empirically tested via a survey of 430 working professionals who use personal MICT for work purposes in the remote work context.

Results show that the routine MICT use increases employee affective well-being (i.e. job satisfaction) and mitigates cognitive well-being (i.e. technology overload). The mediation effects of routine MICT use on the relationships between its characteristics (autonomy and timeliness) and employee well-being (i.e. job satisfaction and technology overload) were also found.

Existing research on remote work has widely focused on employee productivity and performance, while attention has rarely been paid to the effects of the technology-driven “new normal” on employee well-being. Grounded in ASTI, this study identifies three MICT characteristics as sources of user adaptive structuration, which impact employees' routine MICT use behavior and further influence employee affective and cognitive well-being. This research can help understand employees' personal MICT use adaptive behavior and improve their well-being.