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The purpose of this study was to examine the relationship between leisure involvement (LI), conspicuous sport consumption and subjective well-being (SW) for two luxury leisure activities: golf and skiing.

The authors collected data from Guangdong Province (golf, n = 342) and Jilin Province (skiing, n = 310) and examined the proposed model using structural equation modeling (SEM) and tested the mediating effect of conspicuous sport consumption using bootstrapping method.

The findings show that the proposed model explained the relationships among LI, conspicuous sport consumption and SW. Furthermore, the findings suggest that LI and conspicuous consumption (CC) can elevate sport participants' perception of SW, enriching leisure-class theory.

The authors’ findings contribute to the domain of CC in sport participant and leisure research and provide significant implications for the sport tourism marketers.

This paper aims to illustrate the logics that have shifted in the Chinese hotel industry since 1949 and discuss its implications for advance a better understanding of how and why the Chinese hotel industry has evolved into its present situation. The logic evolution and future trends in this market were also discussed.

As this research is aimed at answering the “how” and “why” aspects in the evolution of Chinese hotel industry, qualitative approach is applied to answer the questions.

This paper divided the history of contemporary Chinese hotel industry into three stages: 1949-1977, 1978-2001 and 2002 to the present. Hotel business in each period was dominated by state logic, profession logic and market/corporation logic, respectively.

The authors applied institutional logics perspective to explore how and why China hotel industry evolved in the past 70 years.

Recent studies have indicated that digital transformation can benefit an organization’s strategic renewal. However, there is little knowledge on how business executives engage in digital transformation for this purpose, especially in the service sectors of emerging markets. Therefore, this study aims to examine how business managers accomplish strategic renewal through digital transformation in emerging markets.

The authors conducted a longitudinal single case study of a leading business firm in China’s real estate industry, China Overseas Land & Investment Ltd. (COLI). Results of the analysis of semistructured interviews and rich secondary data allowed us to better understand how business managers react to changing customer demands by building and implementing divergent digital tools to fulfill strategic renewal.

The results showed that business executives of COLI developed the Whole Life Cycle Management System, to achieve strategic renewal. The system benefits resource allocation and potential adjustments to strategic goals. This study also helps update the organizational structure of the marketing and consumer services departments, helping better satisfy consumers’ demands and waste fewer resources. Thus, COLI accomplished structural, contextual and leadership-based ambidexterity.

This study provides a fresh understanding of the link between digitalization and strategic renewal by providing a fine-grained analysis of leading service providers in emerging markets. To the best of the authors’ knowledge, this study is among the first to investigate the role of digital transformation in strategic renewal from an ambidexterity perspective.

Applying affect-as-information theory, this research analyzed the relationship of leader affective presence and employee proactive customer service performance (PCSP) in hospitality organizations. It further explored when and how leader affective presence influenced employee PCSP.

Taking a sample of 110 teams with 361 pairs of leaders and employees in Chinese hotels, a moderated mediation model was tested across individual and team levels using hierarchical linear modeling.

This study found that leader positive affective presence (LPAP) had a positive effect on employee PCSP, whereas leader negative affective presence (LNAP) had a negative effect on employee PCSP. Employee prosocial motivation mediated the relationship between leader affective presence and employee PCSP. The employee power distance value weakened the LNAP–employee prosocial motivation relationship, which subsequently mitigated the negative indirect effect of LNAP on employee PCSP through employee prosocial motivation.

The sample was drawn from one hotel group in China, which may limit external validity.

Hospitality organizations should emphasize the affective traits of leaders in employee initiatives. Leader affective presence should be considered during recruitment and promotion. Management should pay more attention to employee emotional management and value alignment.

The findings provide deeper insight into the role of LPAP and LNAP in influencing employees’ PCSP. It sheds new light on the mechanisms and conditions through which leader affective presence might heighten or hinder employee PCSP.

This study aims to probe the applicability of 2-mercaptobenzothiazole (MBT) functionalized ionic liquids (ILs) as additives in lithium complex grease (LCG) by researching the corrosion inhibiting, rheological and tribological performances.

Electrochemical tests such as electrochemical impedance spectroscopy and potentiodynamic polarization curves were used on Gamry electrochemical workstation to research the corrosion inhibition properties of ILs in 1.0 M HCl corrosive solution. The rheological properties of different grease samples were tested on a rheometer. The tribological properties were investigated on SRV-V oscillating reciprocating friction and wear tester. Scanning electron microscope, X-ray spectrometer and X-ray photoelectron spectrometer were used to characterize the lubricating mechanism.

The 2-MBT functionalized ILs have excellent corrosion inhibition properties. When used as additives in LCG, they both exhibited enhancing effects on thermostability, colloid stability and structural recoverability, and furthermore, outstanding friction-reducing and antiwear properties were also obtained. Surface analysis indicated that the superior lubricating performances of 2-MBT functionalized ILs were mainly ascribed to the formation of tribochemical products on wear tracks, including organic compounds with C–O bond, Fe₂O₃ and FeS₂.

The 2-MBT-based ILs synthesized in this study were multifunctional additives with excellent corrosion inhibiting and tribological properties, which would have a very broad application prospect in lubricating grease industry.

As global supply chains continue to develop, uncertainty grows and supply chains are frequently threatened with disruption. Although big data technology is being used to improve supply chain resilience, big data technology's role in human–machine collaboration is shifting between “supporters” and “substitutes.” However, big data technology's applicability in supply chain management is unclear. Choosing appropriate big data technology based on the enterprise's internal and external environments is important.

This study built a three-factor structural model of the factors “management support,” “big data technology adoption” and “supply chain resilience”. Big data technology adoption was divided into big data-assisted decision-making technology (ADT) and big data intelligent decision-making technology (IDT). A survey was conducted on more than 260 employees from supply chain departments in Chinese companies. The data were analyzed through structural equation modeling using Analyze of Moment Structures (AMOS) software.

The study's empirical results revealed that adopting both ADT and IDT improved supply chain resilience. The effects of both types of big data were significant in low-dynamic environments, but the effect of IDT on supply chain resilience was insignificant under high-dynamic environments. The authors also found that government support had an insignificantly effect on IDT adoption but significantly boosted ADT adoption, whereas management support factors promoted both ADT and IDT adoption.

By introducing two types of big data technology from the perspectives of the roles in human–machine collaborative decision-making, the research results provide a theoretical basis and management implications for enterprises to reduce the supply chain risk of enterprises.

The purpose of this paper is to identify the key determinants of the information value of enterprises’ micro-blogs, drawing on the consumer’s perspective. This paper examines the effects of such information value on consumers’ purchase intention through the building of online brand equity. The paper also investigates how perceived usefulness intervenes in the relationship between micro-blog information value and consumer purchase intention.

The proposed research model is examined empirically using a survey of 315 users of the Sina micro-blog. The statistical analysis applies a method based on variance using partial least squares.

The results show that online retailers’ micro-blog posts, which are characterized by informativeness and persuasiveness as perceived by customers, positively impact online retailers’ brand equity, which in turn influences consumer purchase intention. In addition, perceived information usefulness is found to be an important contextual factor that moderates the relationship between perceived persuasiveness and online retailer brand equity.

This work adds significance to the literature by extending the research on micro-blog marketing and also provides practical recommendations for online retailers on the operation of micro-blogs.

This study aims to propose a new airport gate assignment method to effectively improve the comprehensive operation capacity and efficiency of hub airport. Gate assignment is one of the most important tasks for airport ground operations, which assigns appropriate airport gates with high efficiency reasonable arrangement.

In this paper, on the basis of analyzing the characteristics of airport gates and flights, an efficient multi-objective optimization model of airport gate assignment based on the objectives of the most balanced idle time, the shortest walking distances of passengers and the least number of flights at apron is constructed. Then an improved ant colony optimization (ICQACO) algorithm based on the ant colony collaborative strategy and pheromone update strategy is designed to solve the constructed model to fast realize the gate assignment and obtain a rational and effective gate assignment result for all flights in the different period.

In the designed ICQACO algorithm, the ant colony collaborative strategy is used to avoid the rapid convergence to the local optimal solution, and the pheromone update strategy is used to quickly increase the pheromone amount, eliminate the interference of the poor path and greatly accelerate the convergence speed.

The actual flight data from Guangzhou Baiyun airport of China is selected to verify the feasibility and effectiveness of the constructed multi-objective optimization model and the designed ICQACO algorithm. The experimental results show that the designed ICQACO algorithm can increase the pheromone amount, accelerate the convergence speed and avoid to fall into the local optimal solution. The constructed multi-objective optimization model can effectively improve the comprehensive operation capacity and efficiency. This study is a very meaningful work for airport gate assignment.

An efficient multi-objective optimization model for hub airport gate assignment problem is proposed in this paper. An improved ant colony optimization algorithm based on ant colony collaborative strategy and the pheromone update strategy is deeply studied to speed up the convergence and avoid to fall into the local optimal solution.

This paper investigates the paths through which innovation community affects content providers' new service development (NSD) performance in technology-based service ecosystem and contingency factors exist in the paths.

The research model is built based on service-dominant (S-D) logic, exploring the relationship among innovation community, content providers' knowledge acquisition and content providers' NSD performance as well as the moderating role of content providers' technology readiness and content providers' complexity. Using survey data collected from 386 content providers of selected open network platforms in China, this study finds broad support for the proposed research model.

The findings of this paper reveal that content providers' tacit knowledge acquisition from users plays a mediating role between the innovation community and new service ratings. Content providers' technology readiness plays a positive moderating role in the relationship between innovation community and their explicit or tacit knowledge acquisition. Content providers' task complexity negatively moderates the effects of their explicit knowledge acquisition from users on new service volumes or ratings, but positively moderates the effects of tacit knowledge acquisition from users on new service volumes or ratings.

Though extant literature highlights the importance of knowledge acquisition in NSD performance, few studies explore the antecedents of content providers' knowledge acquisition from users and the paths through which these antecedents affect content providers' NSD performance. Moreover, boundary conditions exist in the process of improving NSD performance are generally ignored in previous literature. With the lens of S-D logic, this paper explicates how content providers of different technology readiness and different task complexity enhance their new service volumes and ratings through acquiring explicit and tacit knowledge from users in innovation community. Adopting S-D logic from marketing area to NSD area, this paper not only enriches the theoretical accumulations of antecedents and boundary conditions of content providers' NSD performance but also offers insights for content providers and users on how to synergistically advance NSD activities and co-create value in the technology-based service ecosystem.

This paper aims to propose a new knowledge creation model called Grey SECI (G-SECI), study the knowledge creation mechanism and the relationship between knowledge creation models and innovation performance during complex product systems (CoPSs) development. Research and development of CoPSs relies heavily on knowledge creation. However, most scholars have studied CoPS innovation stages from the view of design process of system products, focussing on functional management and project management during the R&D process for CoPS. Attention is lacking with regards to the key and essence of creating a complex technology: the creation of knowledge.

Modified from the classic SECI model’s spiral process of knowledge creation, a grey-SECI (G-SECI) knowledge creation model is here proposed vis-à-vis three knowledge categories: explicit knowledge, grey knowledge and tacit knowledge. Then, this paper further analyzes the effects of knowledge creation from the perspective of individual and the view of organization. Besides, an empirical study is conducted.

Statistical analysis indicates that there are three main paths of knowledge creation: individual experience knowledge acquisition, individual communication and reflection and organizational knowledge learning. Results further suggest that knowledge internalization by practice (KIP) is the key mode of knowledge creation, as well as the most important step for high-quality CoPS performance. Moreover, individual innovation performance is influenced by knowledge internalization by reflection and KIP; and organization innovation performance is influenced by knowledge combination and knowledge systematization.

The coverage of geographical distribution is limited. Therefore, there are no data from foreign enterprises. The impact of different geographical cultures on CoPS knowledge creation model could be further investigated; in addition, the statistical analysis results of this study need to be further verified in other industries.

This paper provides a series of insights for CoPS project leaders. The results may also provide practical guidance for the related management personnel in the fields of human resource training, project planning, project quality and technology R&D in CoPS R&D management.

The paper’s main contribution is to modify classic SECI knowledge conversion model by introducing grey knowledge and build a new G-SECI knowledge creation model. Besides, the paper adds empirical evidence on the knowledge creation paths in CoPS and reveals that internalization by practice is the key mode of knowledge creation.