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To provide a holistic assessment of tourists’ staycation intentions, this study aims to investigate the role of secondary-stakeholder corporate social responsibility (CSR) on local engagement. Based on construal-level theory and stimulus-organism-response model, this study unpacks how and when secondary-stakeholder CSR influences staycation intention.

Data were gathered from 312 Chinese tourists with prior staycation experiences. Data were subsequently analyzed using structural equation modeling.

This study illuminates that secondary-stakeholder CSR positively influences staycation intention directly and indirectly through psychological belonging and safety. Noteworthily, immersive experience strengthens the influence of psychological belonging on staycation intention while its effect on the relationship between psychological safety and staycation intention is negligible.

All variables in this study were collected via self-report measures provided by hotel customers with staycation experiences. Although both statistical and procedural remedies are used, it would be more useful if future studies could gather time-lagged and/or multiple sources of data.

This study augments the domain of staycation research by examining CSR marketing through a stakeholder perspective. This nuanced analysis elucidates the intertwined dynamics among secondary-stakeholder CSR, psychological sense of belonging and safety, and immersive experiences that delineate the landscape of staycation markets, casting light on their epoch-defining implications for hotels’ developmental trajectories.

This article investigates the impact of consumers’ promotion strategies on the effectiveness of promotional campaigns for subscribing to Over-the-Top (OTT) streaming services, from a prospective theoretical perspective. Additionally, it explores the moderating effects of platform type and subscriber type on promotion strategies in the context of OTT streaming services.

This study employs an experimental design to separately examine the promotion strategies of subscribers. The first part investigates the effect of promotion strategies on promotional effectiveness, regardless of platform and subscriber types, while the second part considers the moderating effects of both platform type and subscriber type on promotional effectiveness.

The analysis reveals that renewed subscribers exhibit a positive attitude toward incremental promotions and have stronger intentions to subscribe and recommend. Nonrenewed subscribers, in contrast, prefer discount promotions, demonstrating a positive attitude toward them and expressing higher intentions to subscribe and recommend.

This study applies prospect theory to OTT promotion strategies, uncovers the psychological drivers behind promotion effectiveness and examines the moderating role of subscriber type and platform type, thereby providing actionable insights to improve consumers’ attitudes and behavioral intentions.

A transmission tower usually experiences bolt loosening under long-term alternating cyclic load, which may lead to collapse of the tower in extreme operating conditions. The paper aims to propose a data-driven identification method for bolt looseness of complicated tower structures based on reduced-order models and numerical simulations to perceive and evaluate the health state of a tower in operation.

The equivalent stiffnesses of three types of bolt joints under various loosening scenarios are numerically determined by three-dimensional finite element (FE) simulations. The order of the FE model of a tower structure with bolt loosening is reduced by means of the component modal synthesis method, and the dynamic responses of the reducer-order model under calibration loads are simulated and used to create the dataset. An identification model for bolt looseness of the tower structure based on convolutional neural networks driven by the acceleration sensors is constructed.

An identification model for bolt looseness of the tower structure based on convolutional neural networks driven by the acceleration sensors is constructed and the applicability of the model is investigated. It is shown that the proposed method has a high identification accuracy and strong robustness to data noise and data missing. Meanwhile, the method is less dependent on the number and location of sensors and is easier to apply in real transmission lines.

This paper proposes a data-driven identification method for bolt looseness of a complicated tower structure based on reduced-order models and numerical simulations. Non-linear relationships between equivalent stiffness of bolted joints and bolt preload depicting looseness are obtained and reduced-order model of tower structure with bolt looseness is established. Finally, this paper investigates applicability of identification model for bolt looseness.

This paper aims to study the influence of different seal structure parameters and working conditions on the air-oil two-phase flow characteristics and leakage characteristics of the seal cavity in the bearing cavity of the aero-engine spindle bearing tester.

In this paper, the VOF method and RNG k-ε turbulence model are used to explore the flow characteristics and leakage characteristics of the labyrinth seal cavity of an aero-engine spindle bearing tester under the condition of air-oil two-phase flow.

The distribution of the lubricating oil is related to the sealing clearance and the air-oil ratio. The amount of oil leakage increases with increasing of sealing chamber clearance, air-oil ratio and inlet velocity and decreases with increasing curvature and speed. The amount of air leakage increases with sealing clearance and inlet velocity.

In comparison to the pure air-phase flow field, the air-oil two-phase flow field can more accurately simulate the lubricating oil flow in the sealing chamber.

This study aims to address the issue of perfunctory sharing that arises in knowledge governance due to a lack of willingness to share knowledge between individuals within the same organization. This knowledge-sharing process does not occur simultaneously for both parties but follows a sequential progression. Additionally, this governance model fully considers the willingness of both parties to share and effectively addresses the two knowledge characteristics that influence their willingness to do so.

This study follows inductive logic and primarily adopts an interpretive case study approach to conduct a longitudinal exploratory case study. An incubator enterprise with active knowledge-sharing activities and significant knowledge governance effects is selected as the research subject. The governance system is explained through the lens of prospect theory at the mechanism level.

In the study of the knowledge-sharing process, the authors observed a new challenge: perfunctory behavior, whereby individuals engage in knowledge-sharing activities that lack substantial effects as a way to avoid genuine sharing. From this, a new knowledge-sharing model was extracted, the cold start and hot feedback model, which follows a sequential (rather than simultaneous) progression. Using the deterministic effect of prospect theory and the principle of reference dependence, the governance mechanism of corporate knowledge sharing was analyzed from the perspective of knowledge-sharing willingness.

Based on prospect theory, this study primarily explains how the governance mechanism influences the willingness to share knowledge from the perspective of four principles. In the future, threat rigidity theory and commitment escalation theory can be combined to further analyze the willingness to share knowledge from the perspectives of pressure and cost. Empirical research methods can also be used to test and enrich the research results of this paper.

After considering the willingness to share knowledge, a new knowledge-sharing model and corresponding knowledge-sharing governance model are proposed, and prospect theory is extended to the knowledge-based theory research field.

The main purpose of the study is to identify the differences and similarities in the communication between B2B participants in cross-cultural environments.

The research methods used in the study are two-fold: the literature analysis is complemented by primary qualitative research conducted in small- and medium-sized enterprises operating in Poland and doing business internationally. The research was focused on two culturally different markets: China and the United States. In the empirical research, the authors used one of the qualitative methods – Individual Depth Interview (IDI).

General findings showed that the strongest influence of culture was identified among older (+50 years old) business partners. The younger ones are eager to adapt and try to understand others' viewpoints. The research results may be used in creating business communication models in the countries researched for companies that plan to enter both American and Chinese markets.

The results of the study may have useful applied managerial value and be used in cooperation between SMEs' B2B business partners, not only from Poland but also from the whole region of Central and Eastern Europe and the United States and China.

The findings may help to understand and communicate with culturally different social groups such as co-workers, students, teachers, etc.

The research presented in the paper covers the gap in the literature because it relates to some new factors (like cultural heritage, age and type of industry) which determine the effectiveness of personal business communication between partners in the international marketplace.

As the two sides of the same coin, usefulness and usability have emerged as pivotal research themes in user experience field. This study compares cognitive effort and cognitive resource allocation strategy across documents varying perceived usefulness and then across documents with different objective usability (unimodal vs multimodal discourses).

A controlled user study of four identifying tasks related to public health epidemics was conducted to collect data, including document usefulness as perceived by participants, presentation modes of the document and gaze behaviors on each document.

Usefulness and modality discourse impact cognitive effort and resource allocation strategy in health information search. In useless health documents, spatial encoding resource spending increased significantly with multimodal discourse, and a spatial browsing strategy with an evident exploratory feature was applied; while in useful documents, including low-useful and high-useful, both spatial and information encoding resource spending increased significantly with multimodal discourse, and an information processing strategy with an evident comprehensive feature was applied. Notably, multimodal discourse failed to enhance decision-making effectiveness. Furthermore, in useful documents, the interaction effect of the presentation mode of useful information and multimodal discourse on cognitive effort followed an inverted U-shape pattern.

This paper sheds new light on the interaction effect of usefulness and usability on cognitive effort and resource allocation strategy, highlighting its significance in cognitive effort detecting for multimodal discourse and improving effectiveness and efficacy of health information identification by optimizing information presentation mode design.

Blockchain technology, renowned for its decentralization, security, reliability, and data integrity, has the potential to revolutionize businesses globally. However, its full potential remains unrealized due to adoption barriers, necessitating further studies to address these challenges. Identifying these barriers is crucial for businesses and practitioners to effectively tackle them. This systematic review analyzed 70 eligible studies out of 1944 gathered from various databases to understand and identify common blockchain adoption barriers. The Technology–Organization–Environment (TOE) framework was the most popular theory used in these studies. Despite differences in variable definitions, financial constraints, lack of stakeholder collaboration and coordination, and social influences like resistance to change and negative perceptions emerged as the top three barriers. The supply chain domain had the highest number of studies on blockchain adoption. Notably, there was a significant increase in studies addressing blockchain adoption in 2023, comprising 34.2% of the total reviewed studies. This review provides a comprehensive overview of identified barriers, serving as a valuable foundation for future research. Understanding these challenges allows researchers to design targeted studies aimed at developing solutions, strategies, and innovations to overcome obstacles hindering blockchain adoption.

The recent pandemic (COVID-19) and the continuous ICT advancements have resulted in increased levels of technostress. On this basis, the present work tried to explore how technostress influences employees’ turnover intention with the mediation of work-exhaustion. Deploying the theoretical lens of job demands-resources theory, the authors also aim to investigate the part that positive psychological capital (PsyCap) has to play as a moderator in between technostress and work-exhaustion.

The study utilizes a time-lagged methodological design; data was gathered from 544 Indian IT employees. Additionally, PLS-SEM was used to carry out the aforementioned moderation-mediation analysis.

All the hypotheses proposed were confirmed. It was found that technostress significantly impacts employees’ turnover intention. Additionally, work-exhaustion does mediate the relationship between technostress and employees’ turnover intention. Furthermore, PsyCap did play the role of a moderator between Technostress and work-exhaustion.

This paper provides an augmented understanding of technostress in IT organizations and highlights the role of personal resources in aiding employees’ to deal with technostress.

This study is one of the early studies to highlight the role of positive psychological capital in mitigating the impact of technology-induced exhaustion and employees’ turnover intention.

Industry 4.0 or I4.0 has transformed the manufacturing landscape by integrating social and technical factors by means of the sociotechnical framework. However, the sociotechnical aspects of digitalization of total quality management (TQM 4.0), especially in small and medium enterprises (SMEs) remain largely unexplored. This groundbreaking research endeavors to delve into the pivotal role played by social (soft) and technical (hard) TQM 4.0 in driving I4.0 readiness among SMEs.

A research framework has been developed by harnessing the principles of Socio-technical systems (STS) theory. Data collection from a sample of 310 randomly selected SMEs manufacturing in Malaysia through an online survey approach. The collected data is then subjected to analysis using Partial Least Square-Structural Equation Modeling (PLS-SEM) through SmartPLS.

The study findings indicate that both hard and soft TQM 4.0 factors are vital to promoting I4.0 readiness (R² = 0.677) and actual implementation (R² = 0.216). Surprisingly, the findings highlight that customer-related construct has no impact on hard TQM 4.0 attributes. Furthermore, hard TQM 4.0 factors have played a partial mediating role on the relationship of soft TQM 4.0 and I4.0 attributes (20% = VAF = 80%).

This is a novel research as it explores the underexplored domain of sociotechnical aspects of TQM 4.0 within SMEs amid I4.0 transformation. The study distinctive contributes include revealing the pivotal role of both soft and hard TQM 4.0 factors in driving I4.0 readiness, emphasizing the primacy of people-related dimensions for successful implementation in manufacturing SMEs.