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This study aims to examine the influence of perceived organizational support (POS) on boundary-spanning behaviors (BSBs) among frontline employees in the hospitality industry. It also considered perceived supervisory support (PSS) as a moderating factor within a conceptual model.

Data were gathered from 651 full-time hospitality employees across 12 hotels in China. The analysis of the data used confirmatory factor analysis and structural equation modeling.

The findings revealed that POS influences hospitality boundary spanners’ BSBs, specifically external representation (ER), internal influence (II) and service delivery (SD). In addition, PSS moderates the relationship between POS and these frontline employees’ behaviors.

This study offers practical strategies for hospitality professionals to enhance frontline employees’ BSBs and foster supportive workplaces that drive employee excellence. These strategies encompass cultivating a supportive organizational culture, implementing supportive measures, fostering a sense of belonging among employees and ensuring supervisors’ well-being and competence in supporting their teams during daily interactions. These actions effectively motivate customer-contact employees to excel in their performance.

Fostering a helpful attitude in frontline employees is crucial for service firms’ success. Hospitality organizations must provide support to achieve this. Few studies have explored how organizational support contributes positively to the BSBs of customer-contact employees. This study goes beyond oversimplification and delves into the nuanced interplay between perceived support (POS and PSS) and hospitality frontline employees’ BSBs, focusing on ER, II and SD. The moderated mediating model enhances the understanding of support dynamics in the organizational context.

This study aims to investigate guests’ experience and perceptions in smart hotels, with a primary focus on the human−robot experience.

Utilizing a thematic analysis using the inductive-deductive approach, 546 reviews from Chinese smart hospitality guests, sourced from Ctrip, were examined.

This study identified five highest-level categories reflecting guests’ perceptions of smart hotels service with themes and subthemes of utilitarian gratification (smart servicescape and smart service quality), sensual gratification (novelty and coolness), social gratification (social presence and social interaction), experiential gratification (functional and emotional experiential value) and satisfaction.

This research enriches the current understanding of guests’ experience within smart hotels, focusing on the human−robot interaction. The findings offer insightful implications for the enhancement of smart hotels, specifically in terms of smart facility offerings, service delivery and overall customer experience.

本研究旨在调查顾客在智能酒店的体验和感知, 重点关注人机交互体验。

利用归纳-演绎方法进行主题分析, 对来自携程网的546份中国智能酒店客人评论进行了审查。

本研究确定了五个最高级别的类别, 反映了客人对智能酒店服务的感知, 涵盖了实用满足（智能服务环境和智能服务质量）、感官满足（新奇和酷炫）、社交满足（社交存在和社交互动）、体验满足（功能性和情感体验价值）和满意度的主题和子主题。

这项研究丰富了对智能酒店客人体验的当前理解, 重点关注人机交互。研究结果为智能酒店的提升提供了深刻的启示, 特别是在智能设施提供、服务交付和整体客户体验方面。

Customer referral programs (CRPs) are popular; however, they often generate low referral rates. The authors propose that certain CRP referral tasks may hinder consumers’ referral likelihood. This study aims to explore the effects of referral tasks (communication content and approach) on customers’ referral likelihood on social platforms and the role of self-construal.

This study establishes a theoretical model based on online social platforms and conducts three scenario-based experiments. The authors obtain data from consumers on Sojump platform and test the hypotheses using analysis of variance (ANOVA) analysis and mediation analysis in SPSS. The valid sample sizes for these three experiments are 288, 203 and 214, respectively.

Three experimental studies indicate that communication content and approach have a significant effect on referral likelihood. Furthermore, the effect of communication content on referral likelihood depends on the communication approach. Self-construal plays a moderating role in the effect of communication content and approach on perceived social costs.

CRPs typically involve tasks and rewards; consumers are asked to complete a referral task and then receive a reward. Both tasks and rewards can affect an individual’s willingness to participate; however, existing studies on CRP focus primarily on the reward component. To the best of the authors’ knowledge, this is the first study to systematically investigate the role of referral tasks (communication content and approach) in CRPs. The authors extend the related research by examining the impact of referral tasks on consumers’ willingness to recommend. In addition, this study introduces self-construal into CRPs research.

This study aims to investigate the antecedents of frontline employees’ boundary-spanning behaviors in the hospitality industry. Anchored in transactional stress theory, affective events theory and motivation theories, a conceptual model was built to explore the impacts of hindrance stressors on boundary-spanning behavior.

Data were collected from frontline employees in the hospitality industry in the USA. Confirmatory factor analysis and structural equation modeling were used.

The findings revealed that despite hindrance stressors’ negative indirect impact on frontline employees’ boundary-spanning behaviors, intrinsic motivation worked effectively to reduce hindrance stress and influence subsequent emotions leading to boundary-spanning behaviors.

This study provides substantial and detailed strategies for hospitality practitioners who are pressed to alleviate the hindrance stressors from which frontline employees frequently suffer, foster employees’ positive emotions and ease negative emotions while promoting boundary-spanning behaviors. Cultivation of employees’ intrinsic motivation and emotional management is encouraged, as is effective organizational structure and management intervention. All of these are deemed helpful in buffering employees’ work-related stress while motivating them to go above and beyond their nominal duties.

Very few studies have examined how “bad” hindrance stressors affect boundary-spanning behaviors. Rather than suggesting that hindrance stressors are relevant only to counterproductive behaviors, this study extends both the stress and boundary-spanning literature by uncovering the impact of hindrance stressors on frontline employees’ boundary-spanning behaviors while accounting for the roles of workers’ motivation and emotion.

From the perspective of local government tax administration, the impact of geographic dispersion on the corporate tax burden is investigated in this paper.

Using unbalanced panel data with a sample of listed companies from 2003 to 2020 in China, this paper focuses on the effect of geographic dispersion on corporate tax burden and the mechanisms.

It is found that corporate tax burden is positively related to geographic dispersion. It is also found that geographic dispersion affects the corporate tax burden by increasing the effort of local government tax administration. In addition, the relation between geographic dispersion and corporate tax burden is more pronounced for local SOEs prior to the implementation of Golden Tax Project III and in cases where local governments face stronger financial pressure to obtain revenue.

This study has important implications for the promotion of the coordinated development of the regional economy, as well as the legalization, modernization and informatization of tax administration.

The connection between digital manufacturing technologies (Industry 4.0) and the environment has sparked discussions on firms' disclosure of negative information on pollutant emissions and the pursuit of positive environmental outcomes. However, very few studies explore how it relates to a firm's robot usage and its mechanism. The purpose of this paper is to investigate the impacts of robot penetration on firms' environmental governance in China.

The ordered probit model (and probit model) are employed and empirically tested with a sample of 1,579 Chinese listed firms from 2010 to 2019.

The study reveals a negative relationship between robot usage and the disclosure of negative indicators and a U-shaped relationship between robot usage and positive environmental outcomes. Among the sample, nonstate-owned enterprises (SOEs) display unsatisfactory performance, while heavily polluting industries disclose more information on pollutant emissions. The robot–environmental governance nexus is conditional on firm size, capital intensity and local economic development.

The study proposes a fresh view of corporate environmental governance to assess the environmental implications of robot adoption. It also contributes to identifying the curvilinear, moderating and heterogenous effects in the robot–environment nexus. The results provide rich policy implications for the development of industrial intelligence and corporate environmental governance in the circular economy (CE) context.

This study explores the influence of heritage brand extension on consumer purchase intention and analyses the effects of pop culture involvement. The extension of heritage brands is becoming increasingly difficult because such an extension needs to be consistent with the unique characteristics of brands and resonate with consumers. However, few scholars discuss the influence of consumers' level of pop culture involvement on brand extension and purchasing behaviour.

Taking time-honoured brands as an example, this study established a conceptual model based on a comprehensive review of the literature, and then tested the model using a sample of 255 respondents who were familiar with one of the selected Chinese time-honoured brands. Structural equation modelling was used to analyse the relationships amongst brand extension fit, pop culture involvement, perceived value and purchase intention.

Time-honoured brand extension fit has a positive impact on consumer purchase intention, and this path is significantly influenced by the mediation mechanisms of perceived value. Situational pop culture involvement can significantly strengthen the relationship between time-honoured brand extension fit and perceived value, whereas enduring pop culture involvement does not.

The results clarify and expand on the different roles of cultural involvement in time-honoured brands and broaden research on the influence of cultural involvement in this regard. This study has significant theoretical value for the inheritance and revival of heritage brands and provides a reference for the practice of time-honoured brands.

This paper aims to determine the most practically applicable color-difference formula for yarn-dyed fabrics woven from warp and weft yarns in different color depths and to establish color-difference tolerance for perceptibility by evaluating yarn-dyed fabrics visually and instrumentally.

A total of 108 sample pairs were evaluated by a panel of 13 observers with perceptibility method under three typical light sources (A, D65 and cool white fluorescent). The data sets were statistically analyzed by the homogeneity of variance test (F-test), analysis of variance, standardized residual sum of squares and performance factor/3.

Light sources had a slight influence on the visual assessments of yarn-dyed fabrics. Among the eight color-difference formulae for measurements of yarn-dyed fabrics, CIEDE2000(2:1:1) outperformed all other tested formulae, and the color tolerance for the perceptibility of CIEDE2000(2:1:1) was 0.62. When the homochromy index (K) of warp and weft yarns of yarn-dyed fabric was lower than 1.25, the color difference based on ΔE*00(2:1:1) between the two samples was acceptable in terms of the color tolerance for perceptibility (i.e. 0.62).

The warp and weft yarns in different color depths could be woven in fabric with a relatively uniform color appearance.

This study could contribute to cost savings by reusing disqualified dyed yarns during the weaving manufacturing process.

In order to make the construction industry develop in the direction of greening, this paper analyzes whether the application of intelligent technology in prefabricated buildings can achieve carbon emission reduction, starting from the problems of weak technology and insufficient encouragement policies in the prefabricated building industry. It also designs dynamic and adjustable incentives for the smart transformation of prefabricated buildings and makes recommendations to facilitate the transformation of assembly manufacturers into “smart factories”.

This paper takes the intelligent technology for carbon reduction, energy efficiency and policy design in the prefabricated buildings industry as the starting point. Based on in-depth expert interviews and questionnaire survey data, a linear multiple regression model is used to establish an association network of intelligent technology in the production and transportation, construction, operation and maintenance, demolition and scrapping stages. On this basis, an evolutionary game theory is used to construct a smart transformation and carbon reduction utility game model between the government and manufacturers, and relevant suggestions for smart empowerment of green construction development technology combinations and policy settings are proposed.

An assembly manufacturing plant with smart empowerment is an important way to achieve green and sustainable development in the construction industry. Among them, BIM and IoT have made a greater impact on carbon emission reduction of prefabricated buildings in all stages of the whole life cycle. The government’s proposed energy efficiency incentives and environmental tax amount will effectively increase companies' motivation for smart transformation of prefabricated buildings. However, when the environmental tax amount is low, the government should strengthen the regulation of the industry in order to increase the speed of smart transformation of assembly manufacturers. Therefore, a reasonable setting of the environmental tax rate and energy-saving incentives and flexible adjustment of the regulatory efforts can maximize the functional utility of the government in the process of smart transformation.

This paper focuses on the impact of intelligent technologies on the overall carbon emissions of the industry and provides an evolutionary analysis of the strategic game between the government and assembly manufacturers, the main players in the smart transformation process of prefabricated buildings. However, smart technologies for different categories of assembly manufacturing plants and strategic options for a wider range of stakeholders have not been examined in depth.

Different from existing research, this study focuses on exploring the strategic game between the government and assembly manufacturers in the smart transformation of prefabricated buildings. It provides an innovative explanation of the connection between intelligent technology and carbon emissions. The study develops an evolutionary game model for both parties, addressing the research gap on the combined effects of policy incentives and intelligent technology on carbon reduction and efficiency improvement in the prefabricated buildings industry. This research not only offers practical reference for the government in designing incentive mechanisms and establishing regulatory systems but also provides feasible practical guidance for the smart transformation and carbon reduction efforts of assembly manufacturing plants.