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The diagnosis and prediction methods used for estimating the health conditions of the bearing are of great significance in modern petrochemical industries. This paper aims to discuss the accuracy and stability of improved empirical mode decomposition (EMD) algorithm in bearing fault diagnosis.

This paper adopts the improved adaptive complementary ensemble empirical mode decomposition (ICEEMD) to process the nonlinear and nonstationary signals. Two data sets including a multistage centrifugal fan data set from the laboratory and a motor bearing data set from the Case Western Reserve University are used to perform experiments. Furthermore, the proposed fault diagnosis method, combined with intelligent methods, is evaluated by using two data sets. The proposed method achieved accuracies of 99.62% and 99.17%. Through the experiment of two data, it can be seen that the proposed algorithm has excellent performance in the accuracy and stability of diagnosis.

According to the review papers, as one of the effective decomposition methods to deal with nonlinear nonstationary signals, the method based on EMD has been widely used in bearing fault diagnosis. However, EMD is often used to figure out the nonlinear nonstationarity of fault data, but the traditional EMD is prone to modal confusion, and the white noise in signal reconstruction is difficult to eliminate.

In this paper only the top three optimal intrinsic mode functions (IMFs) are selected, but IMFs with less correlation cannot completely deny their value. Considering the actual working conditions of petrochemical units, the feasibility of this method in compound fault diagnosis needs to be studied.

Different from traditional methods, ICEEMD not only does not need human intervention and setting but also improves the extraction efficiency of feature information. Then, it is combined with a data-driven approach to complete the data preprocessing, and further carries out the fault identification and classification with the optimized convolutional neural network.

This study aims to explore the relationship between house prices and time-on-market (TOM) in Silicon Valley. Previous findings have been inconclusive due to variations in property characteristics. This paper highlights the discrepancy between listing and selling prices and identifies differences among housing types such as condominiums, detached houses and townhouses based on housing orientations and customer groups. Additionally, this study considers the impact of the COVID-19 pandemic and the Fed’s interest rate policies on the housing market.

The authors analyze 63,853 transactions from the Bay East Board of Realtors’ Multiple Listing Service during 2018 to 2022. The study uses a multiple-stage methodology, including a nonlinear hedonic pricing model, search theory and two-stage least squares method to address concerns relating to endogeneity.

The Silicon Valley housing market shows resilience, with low-end properties giving buyers more bargaining power without significant price drops. High-end properties, on the other hand, attract more attention over time, leading to aggressive bidding and higher final sale prices. The pandemic, despite reducing housing supply, did not dampen demand, leading to price surges. Post-COVID, price correlations with TOM changed, indicating a more cautious buyer approach toward high premiums. The Fed’s stringent monetary policies post-2022 intensified these effects, with longer listing times leading to greater price disparities due to financial pressures on buyers and shifting dynamics in buyer interest.

Results reveal a nonlinear positive correlation between TOM and the price formation process, indicating that the longer a listed property is on the market, the greater the price changes. For low-end properties, TOM becomes significantly negative, while for high-end properties, the coefficient becomes significantly positive, with effects and magnitudes varying by type of dwelling. Moreover, external environmental factors, especially those leading to financial strain, can significantly impact the housing market.

The experience of Silicon Valley is valuable for cities using it as a development model. The demand for talent in the tech industry will stimulate the housing market, especially as the housing supply will not improve in the short term. It is important for government entities to plan for this proactively.

The hospitality and tourism industry is strongly influenced by new and immersive technologies, such as augmented reality (AR), to enhance customer experiences across a diverse set of touchpoints throughout the visitor journey. This paper aims to provide a holistic understanding of AR marketing for this industry context, present a number of fundamental premises of AR marketing within it and establish an agenda for future AR research.

This study reviews current literature on AR marketing, hospitality and tourism and industry use cases for the creation of a proposed conceptual framework to guide scholars and managers. Based on that, the authors propose fundamental premises.

The three fundamental premises of AR marketing presented are the need to clearly differentiate between AR and virtual reality within hospitality and tourism; the use of AR for the on-trip experience; and the combined focus on content, context, customer and computing devices for a successful strategic implementation of AR.

This study serves as a first point of reference for the strategic integration of AR into hospitality and tourism marketing, both from an industry and academic point of view.

The authors provide a number of managerial recommendations based on our three fundamental premises.

To the best of the authors’ knowledge, this study is one of the first to holistically characterize AR marketing in the hospitality and tourism context. It also highlights the fundamental premises of successful AR marketing and future directions of AR research today and in a spatial computing future.

This study proposes a framework that demonstrates how the perceived value of augmented reality (AR) shopping influences the formation of psychological ownership of product and technology. The mediating role of flow experience and the moderating role of perceived control are identified.

An online survey study recruiting 480 participants who experienced AR shopping was conducted to test the hypotheses.

Functional value is negatively related to psychological ownership of product and technology whereas emotional value shows opposite effects. Flow experience mediates the relationships between functional/emotional value and psychological ownership of product and technology. Perceived control moderates the relationship between emotional value and flow experience, as well as the relationship between functional/emotional value and psychological ownership of product and technology.

The findings suggest the importance of AR’s functional and emotional values in developing psychological ownership of product and technology. To mitigate the negative effect of functional value, AR designers should focus on creating emotionally engaging apps that induce a flow experience, thereby enhancing psychological ownership. Furthermore, AR apps should be designed to empower users with a sense of control in the AR experience.

This research contributes to the AR and psychological ownership literature. It introduces a model that can explain both the formation of psychological ownership of product and psychological ownership of technology, thereby expanding the current understanding. By adding perceived values as antecedents of psychological ownership, it enriches the psychological ownership literature. Moreover, it enhances the flow experience literature by demonstrating the role of flow experience in the formation of psychological ownership of product and technology.

Although trade volumes in e-retailing have increased significantly in recent years, logistics service failures are inevitable, especially at the delivery stage. Therefore, it is essential to provide customers with effective recovery strategies to increase their satisfaction and repurchase intentions. There is a lack of empirical evidence on whether the response time or the discount offered in compensation is more crucial for customers. Therefore, this study aims to determine whether the response time or the discount offered for high and low criticality failures has a greater impact on customer satisfaction levels and repurchase intentions for female and male customers.

A scenario-based experimental design method has been adopted to collect data, and 697 participants aged 18 and 58 years have been reached. The research utilized a between-subjects design, incorporating three factors: gender (female vs male), criticality (high vs low) and compensation (7 days: 10% discount, 10 days: 20% discount and 14 days: 30% discount). Six scenarios depicting the failure of an online retailer were created, and factorial univariate ANOVA was conducted to test the hypotheses.

The study's results show that in terms of customer satisfaction, female customers attach more importance to the response time in the case of high criticality and the amount of discount offered in the case of low criticality. On the other hand, male customers give more importance to the response time in terms of customer satisfaction when they experience a high or low criticality failure. In the case of low criticality, response time is more important for male customers to increase their repurchase intentions, while the amount of the discount is more important for female customers.

The study demonstrates the relative importance of the response time and discount amount according to the criticality level of failures and to guide business managers in terms of the recovery strategies they will implement. It focuses on gender differences and determine whether the response time or discount amount is more important for male and female customers in high or low-criticality situations.

The technology acceptance model (TAM) is a widely used framework explaining why users accept new technologies. Still, its relevance is questioned because of evolving consumer behavior, demographics and technology. Contrary to a research paper or systematic literature review, the purpose of this critical reflection paper is to discuss TAM's relevance and limitations in hospitality and tourism research.

This paper uses a critical reflective approach, enabling a comprehensive review and synthesis of recent academic literature on TAM. The critical evaluation encompasses its historical trajectory, evolutionary growth, identified limitations and, more specifically, its relevance in the context of hospitality and tourism research.

TAM's limitations within the hospitality and tourism context revolve around its individual-centric perspective, limited scope, static nature, cultural applicability and reliance on self-reported measures.

To optimize TAM's efficacy, the authors propose several strategic recommendations. These include embedding TAM within the specific context of the industry, delving into TAM-driven artificial intelligence adoption, integrating industry-specific factors, acknowledging cultural nuances and using comprehensive research methods, such as mixed methods approach. It is imperative for researchers to critically assess TAM's suitability for their studies and be open to exploring alternative models or methods that can adeptly navigate the distinctive dynamics of the industry.

This critical reflection paper prompts a profound exploration of technology adoption within the dynamic hospitality and tourism sector, makes insightful inquiries into TAM's future potential and presents recommendations.

Over the past years, non-fungible tokens (NFTs) have sparked growing interest in the sport industry. NFTs are unique digital assets verified using blockchain technology. Each NFT has a distinct identifier that sets it apart from other tokens, documenting its uniqueness and ownership. NFTs promise innovative growth opportunities by generating revenue via novel products such as digital collectibles which can be owned and traded on dedicated platforms. Despite this promising outlook, it currently seems unclear how sports NFTs should be designed and which features they should offer to align with consumer values, effectively meet their needs and ultimately drive Purchase Intention. This study will therefore attempt to answer the following research question: Which consumer values and consumer needs have a positive impact on PI of sports NFTs? Based on the results, the study seeks to offer advice on concrete characteristics sports NFTs should possess in order to foster mainstream adoption.

To address the current gap in the literature and provide an answer to the research question, this paper uses structural equation modelling exploring the impact of consumer values and consumer needs or wants on purchase intention regarding sports NFTs.

The results of this study indicate that social needs or wants (SNW) have the strongest impact on purchase intention, as well as on experiential and functional needs or wants. NFTs should therefore possess characteristics that foster community, interaction and connection with other team or athlete supporters while enhancing the overall consumer experience. Incorporating these elements into future NFTs can help sports organizations tap into the social SNW of consumers by providing opportunities for connection, interaction and collective experiences within supporter communities.

Due to the low response rate of Baby Boomers, the results of the study cannot be applied to this cohort. Additional research, potentially using physical in-stadium surveys and targeted specifically at the BB cohort may shed light on their particular values, needs or wants and impact on sports NFT purchase intention. Moreover, Generation Z respondents may statistically be underrepresented in the sample due to the fact that only respondents aged 18 and older were included in the study. Hence, the part of Generation Z, which was born after March 2006 and had not yet come of age at the time of this research, was explicitly excluded from the survey. Results should be applied carefully to the population of sports team or athlete supporters due to the method of data collection which was based on convenience sampling and may therefore not be representative. Since the survey was exclusively administered online, people with no Internet access are not represented in this research.

Sports organizations and marketers can leverage the strong impact of SNW identified in this study to position their NFT portfolio accordingly. Using athletes themselves or other influencers as product ambassadors may trigger purchase intention of consumers. Additionally, it is crucial that socializing agents, such as family, friends, colleagues and other team supporters with a strong influence on consumers own or promote NFTs. Marketers can support this adoption process by encouraging testimonials, reviews and user-generated content that showcase how NFTs have positively impacted others. Reaching a critical mass of adoption among supporters as a first step will ultimately impact consumers’ desire to satisfy ENW and FNW as well. Consumers may then recognize the benefits of using NFTs to enhance their overall consumer experience and to make their lives easier, for instance by using NFTs as season tickets or to collect loyalty points they can redeem later.

This study is the first attempt to determine the relationship between consumer values, consumers’ needs or wants and their impact on purchase intention regarding sports NFTs.

This study investigates how global retailers develop sustainability through network interactions that influence institutionalized sustainability perceptions. The findings enable retailers to drive sustainability systematically and understand the critical internal and external issues.

The study investigates how retailers can work to increase support for sustainability through the normative, cognitive, and regulative institutional pillars. The network perspective suggests the need to offer relevant resources, involve influential actors and perform supporting activities to mobilise stakeholders. Empirically, qualitative case studies of IKEA and Hennes & Mauritz were conducted.

Based on the network and institutional perspectives, the study identified nine fields that retailers can use to develop sustainability internally and in their networks. The study shows that they can mobilise actors, resources, and activities to change institutionalised values and practices.

The developed model provides guidelines on how to systematically work with sustainability. The broad view developed is particularly relevant considering that most of the existing research on global firms and sustainability focuses on a narrow research problem without relating it to sustainability as a complex and overarching phenomenon.

The timeliness and quality of information provided to board members are crucial for them to effectively monitor and advise a firm. This study examines the influence of board composition and structure on (1) the board’s actions to mitigate the information asymmetry problem by implementing enterprise information systems (EIS) and (2) the board of directors’ awareness of information asymmetry, their perception of its causes and their efforts to address it.

Our research employs a mixed-methods approach. First, using data from 115 publicly listed Chinese companies, we empirically assess the likelihood of top-level EIS modules adoption at the firm level. Subsequently, through 23 semi-structured interviews, we aim to gain deeper insights into the behavioral motivations behind directors’ attempts to reduce information asymmetry.

The study reveals that boards with a higher number of independent directors or with a strategy committee – indicative of a greater concern regarding information asymmetry problems – are more inclined to adopt top-level EIS modules. Additionally, we identify three primary sources of information asymmetry that directors consider significant in prompting the adoption of top-level EIS modules to alleviate perceived information asymmetry.

This study contributes to both the corporate governance and information systems literature. The implementation and utilization of EIS at the board level have not been extensively explored previously. Moreover, while the issue of information asymmetry at the board level is recognized as a critical governance challenge, the ways in which directors perceive and address this issue remain largely unknown. Our research seeks to illuminate this relatively less-explored area.

This paper examines the impact of board ethnic diversity on the level of compliance with international financial reporting standards (IFRS) disclosures.

Using a unique hand-collected dataset from South Africa, we develop a comprehensive disclosure index against 570 mandatory requirements of IFRS. Further, we employ the fixed-effects model to investigate whether board ethnic diversity affects IFRS disclosures.

We document a significant positive association between ethnic minority directors and IFRS disclosure levels. Furthermore, we reveal that non-busy ethnic minority directors have a greater impact on IFRS disclosure levels than their busy counterparts. Additional analyses show that ethnic minority directors have less impact on IFRS disclosure levels when their number exceeds two. Companies with more ethnic directors on audit committees are more likely to comply with IFRS disclosure requirements and ethnic diversity increases accounting disclosures irrespective of the level of ownership concentration.

Our findings shed new light on the impact of board ethnic diversity on firms’ compliance with IFRS disclosure requirements. The results are robust to alternative econometric techniques, proxies and potential endogeneity concerns.