Search results

Gen Z, the largest and fastest-growing consumer generation, is transforming the hospitality industry as both customers and employees. By critically synthesizing empirical literature, this study aims to explore how this generation’s distinct behaviors are reshaping customer expectations and workforce trends within the sector.

A critical synthesis of empirical studies was used to examine current research on Gen Z as customers and employees in the hospitality industry.

Gen Z exhibits distinct preferences and expectations in their dual roles as customers and employees, prompting substantial shifts in hospitality industry standards and practices. They rely heavily on digital channels and peer recommendations when making travel decisions and expect highly personalized, tech-enabled experiences. This young cohort of travelers values unique, authentic and sustainable offerings. As employees, Gen Z prioritizes flexible work arrangements, career growth and workplaces aligned with sustainability, diversity and social responsibility. Hospitality providers must adapt their customer experience, marketing and HR strategies to meet these evolving demands.

To engage Gen Z customers and employees in the hospitality industry effectively, businesses must prioritize personalized experiences, leverage technology and adopt sustainable practices aligned with Gen Z’s social and environmental values. Moreover, offering adaptable work environments with remote opportunities and investing in professional development enhances appeal for Gen Z employees. Understanding Gen Z’s values and behaviors can help businesses improve customer satisfaction, attract top talent and remain competitive in a rapidly evolving market.

This study represents a preliminary endeavor to provide a critical assessment of Gen Z in the hospitality and tourism sector, offering novel insights into their travel behaviors, preferences and work values. It explores their expectations, attitudes toward work and career choices, offering guidance on how businesses can meet the evolving demands of this key demographic.

This study aims to understand the influence of raceway surface topography on the temperature rise characteristics of silicon nitride (Si₃N₄) full ceramic ball bearing and improve its service life.

The arithmetic average height S_a, skewness S_sk and kurtosis S_ku in the three-dimensional surface roughness parameters are used to quantitatively characterize the surface topography of the raceway after superfinishing. The bearing life testing machine is used to test the Si₃N₄ full ceramic ball bearing using polytetrafluoroethylene (PTFE) cage under dry friction conditions, and the self-lubricating full ceramic ball bearing heat generation model is established.

With the decrease of S_a and S_sk on the raceway surface and the increase of S_ku, the average height of the raceway surface decreases, and the peaks and valleys tend to be symmetrically distributed on the average surface, and the surface texture becomes tighter. This kind of raceway surface topography is beneficial to form a thin and uniform filamentous PTFE transfer film with a wide coverage area on the raceway surface based on consuming less cage materials and improving the temperature rise characteristics of hot isostatic pressing silicon nitride full ceramic ball bearings.

The research results provide a theoretical basis for the reasonable selection of Si₃N₄ ring raceway processing technology and have important significance for improving the working characteristics and service life of Si₃N₄ full ceramic ball bearings under dry friction conditions.

This study aims to reduce carbon emissions and minimize waste in the event of disruptions in a short and fast-food perishable such as fruits, vegetables, packaged food items, etc. supply chain through optimal investment in green and preservation technologies.

This study utilized a Hessian matrix approach to optimize decision variables with an objective to maximize the profit function.

The study demonstrates that investing in both green and preservation technology within a short and fast-food supply chain is highly beneficial for decarbonization and waste reduction and it leads to profit maximization. It has been shown with the help of a numerical experiments with investment in both green and preservation technology that total profit is 3.09% higher than without investment made in either technology.

This study aids the industry in achieving food sustainability by minimizing waste of perishables and also minimizes carbon emissions which is essential for environmental protection. It assists industries in determining the optimal investment in preservation technology to minimize waste and in green technology to reduce emissions, thereby maximizing profits.

The current study formulates an inventory model that helps in decarbonization and waste reduction in food supply chain with the consideration of machine learning, demand disruption, preservation technology investment, screening of purchased items, waste disposal, a double triangular distribution deterioration rate, green technology investment, carbon emissions from various supply chain activities, carbon tax policy and fuel price variation over time for perishable food products in a two-warehouse system.

This study aims to explore the synthesis and tribological performances of di-n-octyl sebacate (DOS) synthesized with spherical nano-MoS₂/sericite (SMS) and carboxylated SMS (CSMS) as catalysts.

SMS and CSMS were used as esterification catalysts to synthesize DOS from sebacic acid and n-octanol. The two catalysts were in situ dispersed in the synthesized DOS after the reaction to form suspensions. The tribological performances of the two suspensions after 20 days of storage were studied.

CSMS was more stably dispersed in DOS than SMS, and they reduced friction by 55.6% and 22.2% and wear by 51.3% and 56.5%, respectively. Such results were mainly caused by the COOH on CSMS, which was more conducive to improving the dispersion and friction reduction of CSMS than wear resistance. Another possible reason was the difference between the dispersion amounts of CSMS and SMS in DOS. The sericite of SMS was converted into SiO₂ to enhance wear resistance, while that of CSMS only partially generated SiO₂, and the rest still remained on the surface to reduce friction.

This work provides a more effective SMS catalytical way for DOS synthesis than the traditional inorganic acid catalytical method. SMS does not need to be separated after reaction and can be dispersed directly in DOS as a lubricant additive. Replacing SMS with CSMS can produce a more stable suspension and reduce friction significantly. This work combined the advantages of surface carboxylation modification and in situ catalytic dispersion and provided alternatives for the synthesis of DOS and the dispersion of MoS₂-based lubricant additives.

Recognising the value of sustaining virtuous values in family business across generations, this paper aims to provide a conceptual framework and propose a mediated-moderated mechanism through which family members’ traits, such as family size and parenting style, influence the extent to which family business’s virtuous values transfer across generations.

The paper is based on systematic literature that was conducted using specific keyword searches in the business source databases of Emerald, ProQuest, ScienceDirect, EBSCOhost and SpringerLink.

This paper leads to a conceptual framework proposing a mediating relationship between family members’ traits and the transfer of virtuous values to the next generation. Further, two parallel mediators are proposed, moderated by traits of family members’ offspring, such as the age gap and gender of offspring.

This paper proposes a conceptual framework focusing on transferring virtuous values across generations in the family business. It investigates family members’ traits, such as the size of the family and parenting style, to comprehend the family members’ traits and the transfer of virtuous values relationship.

The proposed conceptual framework should form the basis of interventions adopted by family business members to enhance the transfer to virtuous values across generations by positively impacting their moral self-efficacy and affective commitment to virtuous values.

Prior research on family businesses has primarily explored transgenerational succession. However, sustaining virtuous values across generations is equally important to retain a business’s legacy. Very limited scholarly attention has focused on these virtuous values in family business.

This research aims to address the knowledge gap regarding the influence of electronic performance monitoring (EPM) on supervisors' behavior. Building upon the sociomaterial perspective and the general model of disinhibition, the study explores the internal mechanisms and boundary conditions between supervisor EPM use and supervisor undermining.

An online survey was administered via the Sojump platform, inviting supervisors from diverse industries in China to participate in a three-wave study, each wave being approximately two weeks apart. The study gathered multi-wave data from 225 supervisors to assess the conceptual model.

The results showed that supervisor EPM use was positively related to sense of power, which in turn positively related to supervisor undermining. Furthermore, supervisors' individual identity orientation moderates the relationship between supervisor EPM use and sense of power, as well as the indirect relationship between supervisor EPM use and supervisor undermining through sense of power.

This study advocates for responsible EPM use to mitigate supervisor undermining (e.g. making subordinates feel incompetent) and minimize negative leadership behaviors.

The presented results signify a substantial progression in comprehending the interplay between supervisor EPM use and individual identity orientation, and their combined impact on the sense of power and subsequent supervisor undermining.

The main objective of the present study is to determine the role of citation-based metrics (PageRank and HITS’ authority and hub scores) and non-citation metrics (Goodreads readers, reviews and ratings, textbook edition counts) in predicting educational ranks of textbooks.

The rankings of 1869 academic textbooks of various disciplines indexed in Scopus were extracted from the Open Syllabus Project (OSP) and compared with normalized counts of Scopus citations, scores of PageRank, authority and hub (HITS) in Scopus book-to-book citation network, Goodreads ratings and reviews, review sentiment scores and WorldCat book editions.

Prediction of the educational rank of scholarly syllabus books ranged from 32% in technology to 68% in philosophy, psychology and religion. WorldCat editions in social sciences, medicine and technology, Goodreads ratings in humanities, and book-citation-network authority scores in law and political science accounted for the strongest predictions of the educational score. Thus, each indicator of editions, Goodreads ratings, and book citation authority score alone can be used to show the rank of the academic textbooks, and if used in combination, they will help explain the educational uptake of books even better.

This is the first study examining the role of citation indicators, Goodreads readers, reviews and ratings in predicting the OSP rank of academic books.

Axleboxes are an important structure that connects the wheelset with the bogie frame. Inside axlebox bogies have lower wheelset yaw angle stiffness and better curve-passing performance. The purpose of this paper to study the differences in the wear evolution law and the influencing factors of the two types of metro vehicles.

This paper established the dynamic model and wear model of both outside axlebox and inside axlebox metro vehicles to research the wheel wear evolution law of the two types of vehicles. The curve passing performance of two vehicles is analyzed. The effect of key parameters on wheel wear is studied, including the lateral distance of the axlebox, the longitudinal stiffness of the rotary arm node, the lateral stiffness of the rotary arm node and the wheel profiles.

The results showed that the model of inside axlebox metro vehicles improved vehicle safety and curve-passing performance. At the same time, inside axlebox metro vehicles reduce wheel wear of the wheel tread area and wheel flange area. When the S1002 wheel tread profile matched with the vehicle parameters, the wheel wear is minimized.

This paper established a dynamic model for inside axleboxes metro vehicles, then used a wheel wear model to analyze the evolution of wheel wear and the key influencing factors of the inside axleboxes metro vehicles.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2024-0256/

The model of pay-for-knowledge incentivizes individuals with financial rewards for sharing their expertise, facilitating a transactional exchange between knowledge providers (sellers) and seekers (buyers). While this model is effective in promoting paid contributions, its influence on free knowledge exchanges remains ambiguous, creating uncertainty about its overall impact on platform knowledge ecosystems. This study aims to explore the mechanim of how knowledge payment influences free knowledge contribution. Based on relational signaling theory, this study posits that a buyer’s payment for knowledge acts as a positive relational signal in the buyer–seller relationship and examines how the signaling effect varies across different social contexts through attribution theory.

This paper empirically tests the hypotheses by analyzing a data set comprising 630 instances from 359 unique knowledge sellers on Zhihu, a prominent knowledge-sharing platform in China. This paper use zero-inflated negative binomial models to conduct this analysis.

The findings reveal that when buyers pay for knowledge, this action positively influences sellers to contribute knowledge for free. However, the strength of this influence is moderated by the platform’s social functions: appreciation feedback tends to weaken this effect, while social network ties enhance it.

Prior research has predominantly focused on the financial incentives of pay-for-knowledge and its spillover effects on unpaid users’ activities. This study shifts the focus to the social dimensions of pay-for-knowledge, arguing that buyer-initiated knowledge payments signal buyers’ commitment to foster reciprocal relationships with sellers. It expands the literature on the relationship between knowledge payment and contribution, moving beyond financial incentives to include social factors, thus enriching our understanding of the interplay between paid and free knowledge activities. Additionally, the empirical evidence supports the efficacy of pay-for-knowledge in promoting both free and paid contributions within knowledge-sharing platforms.

The present study is performed to identify the propagation mechanism of the ripple effect as well as examine the simultaneous impact of risks on supply chain (SC) performance.

A theoretical framework with many hypotheses regarding the relationships between SC risk types and performance is established. The data are collected from a large-scale survey supported by a project of the Japanese government to promote sustainable socioeconomic development for the Association of Southeast Asian Nations (ASEAN) region, with the participation of 207 firms. Structural equation modeling (SEM) is used to test the hypotheses of the theoretical framework.

It is indicated that human-made risk causes operational risk, while natural risk causes both supply risk and operational risk. Furthermore, the impacts of human-made risk and natural risk on performance are amplified through operational risk.

This study is one of the first attempts that identifies the propagation mechanism of the ripple effect and examines the simultaneous impact of risks on performance in construction SCs.

Although many studies on risk management in construction SCs have been carried out, they mainly focus on risk identification or quantification of risk impact. It is observed that research on the ripple effect of disruptions has been very scarce.