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This paper aims to study the influence of load and environment medium on the fretting behavior of SAF 2507 SDSS.

In this study, the effect of load on the fretting behavior of SAF 2507 SDSS in air and sea water were studied. The fretting wear tests under different loads were conducted with a ball-on-flat contact configuration. The friction coefficient, wear volume, surface morphology and oxidation component were determined.

With the increase of applied load, the friction coefficient decreases both in air and sea water. The fretting mechanism is gradually transformed from partial slip regime to slip regime in air while the fretting counterparts are all in the state of gross slip in sea water. In sea water, the friction coefficient is lower while the wear loss is higher compared with that in air.

This research suggests that the fretting behavior of SAF 2507 SDSS is related to load and environment medium.

The results may help us to choose the appropriate load under different environments.

The main originality of the research is to reveal the fretting behavior of SAF 2507 SDSS under different loads in air and sea water, which would help us to realize fretting behavior of SAF 2507 SDSS is controlled by the combination of applied load and lubricating environment.

The peer review history for this article is available at: http://dx.doi.org/10.1108/ILT-08-2019-0335.

To solve the problem that the traditional methods miss key information in the process of bearing fault identification, this paper aims to apply the phase-space reconstruction (PSR) theory and intelligent diagnosis techniques to extend the one-dimensional vibration signal to the high-dimensional phase space to reveal the system information implied in the univariate time series of the vibration signal.

In this paper, a new method based on the PSR technique and convolutional neural network (CNN) is proposed. First, the delay time and the embedding dimension are determined by the C-C method and the false nearest neighbors method, respectively. Through the coordinate delay reconstruction method, the two-dimensional signal is constructed, and this information is saved in a set of gray images. Then, a simple and efficient convolutional network is proposed. Finally, the phase diagrams of different states are used as samples and input into a two-dimensional CNN for learning modeling to construct a PSR-CNN fault diagnosis model.

The proposed PSR-CNN model is tested on two data sets and compared with support vector machine (SVM), k-nearest neighbor (KNN) and Markov transition field methods, and the comparison results showed that the method proposed in this paper has higher accuracy and better generalization performance.

The method proposed in this paper provides a reliable solution in the field of rolling bearing fault diagnosis.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2023-0113/

This study aims to provide a method for classifying travellers’ requirements to help hoteliers understand travellers’ requirements and improve hotel services. Specifically, this study develops a strength-frequency Kano (SF-Kano) model to classify the requirements expressed by travellers in online reviews.

The strength and frequency of travellers’ requirements are determined through sentiment and statistical analyses of the 13,217 crawled online reviews. The proposed method considering the interaction between strength and frequency is proposed to classify the different travellers’ requirements.

This study identifies 13 travellers’ requirements by mining online reviews. According to the results of the improved Kano model, the six travellers’ requirements belong to one-dimensional requirements; two travellers’ requirements belong to must-be requirements; three travellers’ requirements belong to attractive requirements; two travellers’ requirements belong to indifferent requirements.

Results of this research can guide hoteliers to address hotel service improvement strategies according to the types of travellers’ requirements. This study can also expand the analysis scope of hotel online reviews and provide a reference for hoteliers to understand travellers’ requirements.

By mining online reviews, this study proposes an SF-Kano model to classify travellers’ requirements by considering both the strength and frequency of requirements. This study uses the optimisation model to determine the classification thresholds. This process maximises travellers’ satisfaction at the lowest cost. The classification results of travellers’ requirements can help hoteliers gain a deeper understanding of travellers’ requirements and prioritise service improvements.

This study investigates the influence of artificial intelligence (AI) stimuli on customer stickiness (CS), the mediation effects of social presence (SP) and the moderating impacts of customer traits in this influencing process.

Drawing on the arousal theory and social response theory, a conceptual model was established and tested by a data set of 268 customers in the catering industry.

The results indicate that AI stimuli, such as perceived personalization and perceived interactivity, positively affect CS. SP partially mediates the influence of AI stimuli on CS. Customer traits such as customers' need for interaction (NFI) and novelty seeking (NS) actively moderate the mediating effects of SP.

This study advances the interactive marketing literature from three aspects. Firstly, instead of focusing on the functional aspects of AI stimuli, it extends our understanding of AI-enabled interactive marketing by examining the effects of social and emotional aspects of AI stimuli on customer response. Secondly, it extends our understanding of social response by illuminating the mediating effects of SP between AI stimuli and CS. Finally, it provides new insights and empirical evidence for the research focus on customer traits in AI-enabled interactive marketing.

This paper used a novel technique, which is thermo-compression bonding, and Sn-1.0Ag-0.5Cu solder to form a full intermetallic compound (IMC) Cu₃Sn joints (Cu/Cu₃Sn/Cu joints). The purpose of the study is to form high-melting-point IMC joints for high-temperature power electronics applications. The study also investigated the effect of temperature gradient on the microstructure evolution and the growth behavior of IMCs.

In this paper, the thermo-compression bonding technique was used to form full Cu₃Sn joints.

Experimental results indicated that full Cu/Cu3Sn/Cu solder joints with the thickness of about 5-6 µm are formed in a short time of 9.9 s and under a low pressure of 0.016 MPa at 450°C by thermo-compression bonding technique. During the bonding process, Cu₆Sn₅ grew with common scallop-like shape at Cu/SAC105 interfaces, which was followed by the growth of Cu₃Sn with planar-like shape between Cu/Cu6Sn5 interfaces. Meanwhile, the morphology of Cu₃Sn transformed from a planar-like shape to wave-like shape until full IMCs solder joints were eventually formed during thermo-compression bonding process. Asymmetrical growth behavior of the interfacial IMCs was also clearly observed at both ends of the Cu/SAC105 (Sn-1.0Ag-0.5Cu)/Cu solder joints. Detailed reasons for the asymmetrical growth behavior of the interfacial IMCs during thermo-compression bonding process are given. The compound of Ag element causes a reduction in Cu dissolution rate from the IMC into the solder solution at the hot end, inhibiting the growth of IMCs at the cold end.

This study used the thermo-compression bonding technique and Sn-1.0Ag-0.5Cu to form full Cu₃Sn joints.

This paper aims to investigate the impact of corporate culture on stock price crash risk and explore the underlying mechanisms.

This paper uses a novel firm-level culture measure of Li et al. (2020), which evaluates corporate culture from the perspectives of integrity, teamwork, innovation, respect and quality. Using a sample of 4,017 US firms from 2001 to 2018, this paper uses panel data regressions to explore the impact of corporate culture on stock price crash risk.

This paper finds that among five cultural dimensions, integrity reduces crash risk and quality increases crash risk. The mitigating effect of integrity culture on crash risk is concentrated among firms with a strong incentive or ability to hoard bad news. The exacerbating effect of quality culture on crash risk is concentrated among firms with low managerial flexibility.

This paper helps investors and regulators to understand the determinants of stock price crash risk, which facilitates investors’ wealth management and stabilizes social welfare.

To the best of the authors’ knowledge, this is the first study that uses time-varying firm-level measure of corporate culture to investigate its impact on stock price crash risk, contributing to the literature on the determinants of crash risk. Besides, this is the first study that explores the possible mechanism of managerial flexibility in influencing stock price crash risk.

Food recalls are more potentially harmful than other product recalls. This research aimed to investigate the effect of the recall strategies of food corporations on their brand image and consumers’ purchase intention.

This study adopts a between-subjects experiment of 2 (corporate recall strategy: voluntary recall, mandatory recall) *3 (food recall level (severity): high, medium, low), and recruits 224 consumers involved in cereal product recall in China. The authors inductively examine the effects of voluntary and mandatory recall on consumer perception and behavior intentions in the recall process.

Voluntary recall (vs. mandatory recall) will improve corporate brand responsibility image (vs. brand ability image) and consumers’ purchase intention to focal brand (vs. competitive brand and organic brand). Perceived corporate legitimacy and food safety play a mediating role. The former has a greater positive impact on brand image, and the latter has a more significant favorable influence on purchase intention. Furthermore, recall level has a moderating effect on the association between corporate recall strategy and perceived food safety, but is not significant in the effect of corporate recall strategy on perceived corporate legitimacy.

Previous inconsistent conclusions cannot effectively guide food corporations to manage recall strategies. This paper demonstrates the response mechanism of the recall strategy from the perspective of corporate social responsibility, which is beneficial to food safety crisis management and research.

The purpose of this paper is to explore an innovative teaching design to teach accounting management that aims to foster students’ technical and soft skills. The effectiveness of this new teaching design addresses current concerns for universities preparing students for the future.

The paper deploys the qualitative research methodology and applies multiple methods to gather data in a case study. The researchers collected data through pre- and post-surveys of individual students, three half-day observations on the five project teams and a one-hour long semi-structured interview with a focus group.

Five themes emerged in the research to support the effectiveness of the new teaching design. The study also showed that students’ abilities in self-directed learning (SDL) link to their learning experiences. When students were more capable of initiating learning, such ability enriched their practices of soft skills in the team setting.

This one-shot study had a small group of homogeneous participants and had no baseline comparison to identify the increment of students’ soft skills.

The findings provide valuable insights into the course design and implementation of the teaching approach for the future. The paper suggests that fostering students’ SDL will increase the effectiveness of soft skills development.

This empirical research extends current knowledge of teaching soft skills and calls for action on the development of students’ SDL abilities.

The downstream insulin signaling, such as phosphatidylinositol-3-kinase (PI3K)/protein kinase B (Akt) pathway, is an important step for skeletal glucose disposal through the translocation of glucose transporter (GLUT)-4. In addition, the master of energy regulator adenosine monophosphate-activated kinase (AMPK) is also involved in GLUT-4 translocation, independent from the PI3K/Akt pathway. Fermented cassava tuber or gatot is a traditional food from Indonesia with antihyperglycemic properties. However, the molecular mechanism leading to this effect is unclear. Therefore, this paper aims to evaluate whether the antidiabetic activity of gatot is through PI3K/Akt dependent or AMPK pathway.

Diabetes mellitus was induced in 20 male Wistar rats by intraperitoneal injection of 65 mg/kg body weight streptozotocin and 230 mg/kg body weight nicotinamide. Diabetic rats were randomly allocated into four groups; negative control, positive control (metformin 100 mg/kg body weight), fermented cassava diet replacing 50% of carbohydrate (FC-50) and 100% of carbohydrate (FC-100) in the diet. Serum glucose, insulin and lipid profile were analyzed before and after four weeks of intervention. Genes expression of PI3K subunit alpha, PI3K subunit beta, PI3K regulatory subunit, Akt and AMPK were analyzed using real time polymerase chain reaction (PCR). GLUT-4 protein expression was performed using immunohistochemistry.

There is a significant difference (p = 0.000) in serum glucose, insulin, total cholesterol, triglyceride, high density lipoprotein (HDL)-cholesterol and LDL-cholesterol between groups. Skeletal AMPK gene expression was higher and significantly different between FC-100 (p = 0.006) and healthy control groups. No significant difference was observed in the messenger ribonucleic acid (mRNA) expression of the PI3K/Akt pathway among groups. GLUT-4 expression was highly expressed in a positive control group followed by FC-100.

This paper did not characterize the bioactive component that is responsible for increasing mRNA expression of AMPK. This paper also did not analyze the phosphorylation of PI3K/Akt and AMPK that are important in activating the protein.

To the best of the authors’ knowledge, this is the first study that showed the antidiabetic activity of traditional fermented food is through AMPK-dependent activity.

The high heat induced by fire can substantially decrease the load-bearing capacity, which is more critical in unprotected steel structures than concrete reinforced structures. One of the conventional steel structures is a steel-plate shear wall (SPSW) in which thin infill steel plates are used to resist against the lateral loads. Due to the small thickness of infill plates, high heat seems to dramatically influence the lateral load-bearing capacity of this type of structures. Therefore, this study aims to provide an investigation into the performance of SPSW with reduced beam section at high temperature.

In the present paper, to examine the seismic performance of SPSW at high temperature, 48 single-span single-story steel frames equipped with steel plates with the thicknesses of 2.64 mm, 5 mm and 7 mm and yield stresses of 85 MPa, 165 MPa, 256 MPa and 300 MPa were numerically modeled. Furthermore, their behavioral indices, namely, strength, stiffness, ductility and hysteresis behavior, were studied at the temperatures of 20, 458, 642 and 917? The simulated models in the present paper are based on the experimental specimen presented by Vian and Bruneau (2004).

The obtained results revealed that the high heat harshly diminishes the seismic performance of SPSW so that the lateral strength is reduced even by 95% at substantially high temperatures. Therefore, SPSW starts losing its strength and stiffness at high temperature such that it completely loses its capacity of strength, stiffness and energy dissipation at the temperature of 917? Moreover, it was proved that by separating the percentage of their participations variations of the infill plate in SPSW, their behavior and the bare frame can be examined even at high temperatures.

To the best of the authors’ knowledge, the seismic performance of SPSW at different temperatures has not been evaluated and compared yet.