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This study aims to understand Chinese consumers’ perceived barriers to using peer-to-peer (P2P) accommodation before and after the outbreak of COVID-19 and the negotiation strategies they applied in overcoming the barriers and enabling consumption.

A qualitative research design with 28 semi-structured interviews was used. Data were analysed by content analysis.

Five psychological barriers and four functional barriers were found to inhibit consumers from using P2P accommodation both before and after the COVID-19 outbreak. In overcoming the perceived barriers, consumers applied both behavioural negotiation strategies, including seeking information, behavioural adaptation, selective choice and seeking social support, and cognitive negotiation strategies, including cognitive adaptation and trusting agents. COVID-19 was found to serve as both a barrier and a facilitator for using P2P accommodation. A barriers–negotiation framework was developed in the context.

Theoretically, this study advances consumer resistance and perceived barriers literature by integrating negotiation and developing a barriers–negotiation framework of P2P accommodation usage. This study also offers insights for practitioners in the P2P accommodation industry.

This study showcases the role of negotiation in understanding barriers to using P2P accommodation, paving the way to extend relevant knowledge to advance consumer resistance research, which is an emerging topic in the broader management domain.

The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.

In this study, a review was carried out on the Web of Science (WoS) database with the assistance of bibliometric analysis techniques. Cluster analysis was also employed for this to group important data to determine the relationships and to visualize the areas in which the studies are concentrated. The thematic content analysis method was used to reveal on which customer experiences and on which methods the focuses were.

On the subject of experiences of service robots, the greatest number of publications was in 2021. In terms of country, China has come to the fore in the distribution of publications. As a result of thematic content analysis, it was determined that the leading factor was the main dimension of emotional experience. In terms of sub-dimensions, social interactions attracted more attention. Most of the studies discussed were not based on any theory. Apart from these, the Technology Acceptance Model (TAM), the Service Quality Model (SERVQUAL) and Perceived Value Theory (PVT) were featured more prominently among other studies.

In this study, only the WoS database was reviewed. In future studies, it would be possible to make contextual comparisons by scanning other databases. In addition to quantitative research designs, social dimensions may be examined in depth following qualitative research methods. Thus, various comparisons can be made on the subject with mixed-method research designs. Experimental research designs can also be applied to where customers have experienced human-robot interactions (HRIs).

In the hospitality industry, it is critical to uncover every dimension of guests' robot acceptance. This study, which presents the current situation on this basis, guides future projections for the development of guest experiences regarding service robots in the hospitality industry.

The purpose of this paper is to propose a condition-based opportunistic maintenance policy considering economic dependence for a series–parallel hybrid system with a K-out-of-N redundant structure, where a single component in series is denoted as subsystem1, and K-out-of-N redundant structure is denoted as subsystem2.

Based on the theory of Residual Useful Life (RUL), inspection points are determined, and then different maintenance actions are adopted in the purpose of minimizing the cost rate. Both perfect and imperfect maintenance actions are carried out for subsystem1. More significantly, regarding economic dependence, condition-based opportunistic maintenance is designed for the series–parallel hybrid system: preemptive maintenance for subsystem1, and both preemptive and postponed maintenance for subsystem2.

The sensitivity analysis indicates that the proposed policy outperforms two classical maintenance policies, incurring the lowest total cost rate under the context of both heterogeneous and quasi-homogeneous K-out-of-N subsystems.

This model can be applied in series–parallel systems with redundant structures that are widely used in power transmission systems in electric power plants, manufacturing systems in textile factories and sewerage systems. Considering inconvenience and high cost incurred in the inspection of hybrid systems, this model helps production managers better maintain these systems.

In maintenance literature, much attention has been received in repairing strategies on hybrid systems with economic dependence considering preemptive maintenance. Limited work has considered postponed maintenance. However, this paper uses both condition-based preemptive and postponed maintenance on the issue of economic dependence bringing opportunities for grouping maintenance activities for a series–parallel hybrid system.

This study aimed to investigate the relationship between spirituality, including religious spirituality (i.e. supernatural beliefs) and secular spirituality (i.e. social beliefs), and mental health among police trainees.

Participants in this study were police trainees of a police academy. An online survey was conducted to measure spirituality and mental health among these police trainees. The association between spirituality and mental health was analyzed using hierarchical linear regression and hierarchical logistic regression with demographic variables (i.e. gender and age) controlled for.

The results revealed that the police trainees with stronger secular spirituality tended to have better general mental health. Higher levels of secular spirituality were significantly associated with lower levels of mental illness risk and suicidal ideation. By contrast, religious spirituality was not significantly related to police trainees' mental health.

The present study is the first to empirically investigate the relationship between spirituality and mental health among police trainees. The findings may be enlightening for future research on the mental health of police officers and trainees, and provide novel perspectives and pragmatic implications for the development of spirituality-based prevention strategies and intervention programs for enhancing the mental health and well-being of the police.

The purpose of this paper is to examine the interesting but largely unexamined impact of self-uncertainty on the persuasiveness of self-deprecating advertisement.

In the present research, the experimental design and survey methods are used to collect data. Furthermore, the ANOVA and bootstrap analysis methods are adopted to verify whether a self-deprecating advertisement is more persuasive for consumers experiencing self-uncertainty and explore the mediating role of self-verification.

Study 1 indicates that people experiencing self-uncertainty are more likely to engage in actual self-verification. Study 2 demonstrates that consumers experiencing self-uncertainty are more likely to purchase products in a self-deprecating advertisement (vs. self-enhancing advertisement), and actual self-verification motive underlies this effect. In Study 3, a novel boundary condition for the main effect–product type (hedonic vs. utilitarian) is found, and it further reveals that the impact of self-uncertainty on the persuasiveness of self-deprecating advertisement will attenuate when the advertised product is utilitarian.

This research reveals that self-deprecating advertising is more desirable for consumers who experience self-uncertainty. Based on the conclusions in this paper, the self-deprecating advertising is more attractive and desirable for consumers who are reminded about their personal uncertainties. Thus, marketers could employ self-deprecating (vs. self-enhancing) advertisement to promote products. For example, in order to promote the waterproof function of iPhone 12, Apple China released a self-deprecating advertisement of “Splash proof and water resistant. Don't worry, iPhone.”

First, this research not only sheds new light on the relationship between self-uncertainty and the persuasiveness of self-deprecating advertisement but also verifies the mediating role of self-verification motive in this relationship. Moreover, this research reveals that self-uncertainty is a significant factor in how people react to the self-deprecating advertisement. It is noteworthy that the self-uncertainty effect is more likely to be found when the advertised product is related to hedonic or experiential consumption as opposed to utilitarian consumption.

This study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field.

A multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized.

First, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects.

Compared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.

This study aims to build a theoretical model including intermediate-level outside-in marketing capabilities (ILOIMC), radical and incremental technological innovations and management innovation.

This research used 272 pairs of survey questionnaires from Chinese firms’ managers to examine the hypotheses.

The results indicate that ILOIMC enhance management innovation by stimulating radical technological innovation. Furthermore, the mediating effect of incremental technological innovation depends on technological turbulence.

This study may have several limitations which future research could try to overcome: cross-sectional data, Chinese samples, exclusive focus on ILOIMC, sociotechnical approach to innovation typology and measuring ILOIMC as a first-order variable.

ILOIMC can significantly improve innovations in technology and management systems by using customer value and market information.

This study proposes a new taxonomy to classify marketing capabilities into lower-level inside-out marketing capabilities, ILOIMC and higher-level outside-in marketing capabilities. It also provides an explicit discussion and examination of the influence of ILOIMC on technological and management innovations and the contingency effect of technological turbulence. Thus, it responds to Musarra and Morgan’s (2020) call for more research into the mechanism that explains when (the conditions under which) and how (the process by which) outside-in marketing capabilities could contribute to firm innovation.

The purpose of this paper is to empirically analyze the impacts of short prohibitions on stock prices.

The authors adopt event study in this paper. First, the authors match each shortable stocks with one unshortable stocks by the propensity score matching method. Second, the authors check the performance difference between treatment group and control group after the event date. Third, the authors check the performance difference among sub-groups sorted by other factors associated with stock returns.

The authors find that stocks do not decline necessarily after removal of short prohibitions; only those heavily overpriced stocks, such as small stocks, lower B/M or P/E stocks and higher turnover stocks, decline significantly.

The media falsely stated that short selling lead to market crash; otherwise, short selling is beneficial for improving market efficiency as it is helpful for keeping overpriced stocks in line with the fundamental value.

This is the first paper showing that removal of short prohibitions only impacts heavily overpriced stocks significantly, which is valuable for policy making.

This study aims to investigate whether students would accept augmented reality technology in Al Ain University (AAU) libraries as part of digital library services.

This study used a modified technology acceptance model–based survey instrument for data collection. Data was collected through an online questionnaire, which was sent to 400 students via email in March 2023. Out of the total participants, 176 students completed the questionnaire.

This study found that AAU students have a positive perception of augmented technology use in the library. They believe that augmented technology will be useful and easy to use, and students are willing to use it to access library resources and services.

This study contributes to the digital library perspectives in academic libraries.

Research signifies that well-governed companies exhibit long-run financial results and sustainable growth. In the context of SMEs, this paper aims to review the literature on corporate governance, the implementation challenges of corporate governance and its relationship with performance. Entwined with Indian scenarios, the study can be generalized to other emerging economies, with geographic considerations.

Studies from 1990 to 2020 are included in the literature review. Three databases were used for the extraction of relevant research articles: Scopus, EBSCO and ScienceDirect. To identify the relevant work, keywords along with Boolean operators for literature search were used from the research databases. The selected articles were further refined based on the authors’ keywords, journal type, data analysis methodologies and abstract analysis. Finally, 115 articles were selected and categorized into themes based on inclusion criteria for further study.

Corporate governance provides tangible and intangible benefits to SMEs. The study emphasizes on designing a cost-effective discrete governance mechanism for SMEs than the prevailing corporate governance code for large firms. Furthermore, implementing the corporate governance structure with a great level of discipline and stability is equally essential and related to performance.

Listing of SMEs is a relatively new phenomenon in emerging economies, including India. With listing, corporate governance and financial performance are expected to shift. The inclusion of the changing landscape of SME governance makes this study unique and relevant in the current scenario. The study will benefit the policymakers and firms to adopt optimum governance practices and link it optimally with performance.