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The study examines the impact of various aspects of channel integration quality, personalisation and perceived warmth on behavioural outcomes through customer engagement in omnichannel retailing.

This study is based on the responses of 458 participants, gathered using purposive and snowball sampling methods. PLS-SEM and FIMIX-PLS have been used to examine the heterogeneity in respondents’ views.

The findings emphasise the favourable influence of various facets of omnichannel strategy on customer engagement, which enhances brand affection, leading to stickiness and willingness to pay price premium. Furthermore, identifying three separate customer categories provides detailed insights into how omnichannel aspects appeal to consumer preferences.

The findings underscore the need to use customised approaches to cultivate lasting relationships with consumers, emphasising the potential of omnichannel retailing in harmonising business success and consumer sentiments. Retailers can identify areas of dissatisfaction within specific segments and eventually focus on improving these areas to provide a seamless experience and increase engagement.

This paper offers a distinctive contribution to the domain of omnichannel retailing by employing structural equation modelling (SEM) along with FIMIX-PLS to explore respondent heterogeneity. In addition to the transactional aspects, this study investigates the crucial elements, including warmth and personalisation strategies and how these influence the holistic customer journey, including their emotional connection with the brand in the omnichannel retailing environment, thereby advancing knowledge in the field and providing relevant implications for industry practice.

To meet environmental performance (EP) goals, this study aims to identify the complex interaction between green Industrial Internet of Things (GIIoT), circular economic practices (CEPs) and dynamic capabilities (DC). This study analyzes how technological, operational and cultural compatibilities enhance GIIoT adoption.

Data were collected from diverse Chinese manufacturing firms (n = 339) through a quantitative survey. The research model was proposed, and hypotheses were tested using structural equation modeling. Moreover, the robustness of the structural model is further tested using Fuzzy Set Qualitative Comparative Analysis and importance performance map analysis.

The empirical results indicate that higher organizational compatibilities boost GIIoT adoption and EP. DC was assessed as a higher-order construct to examine its mediation of GIIoT adoption and EP. DC positively mediates GIIoT adoption-EP. Similarly, CEP’s positive impact on EP, partially mediating the relationship between GIIoT adoption and EP, has also been proved.

This research bridges current understanding and contributes useful insights for fostering environmental sustainability inside manufacturing firms and advances the theoretical understanding of technology adoption, sustainable development and dynamic capacity theory. It illuminates the way forward to harmonize and successfully integrate technology, CEP and EP. This research advances the area and gives decision-makers practical advice for creating sustainable and technologically sophisticated organizations.

Given the popularity of online health communities (OHCs) and medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes useful answers and user-adopted standards in healthcare domain. However, few studies provide insights into how health information characteristics, provider characteristics and recipient characteristics jointly influence user information adoption decisions. To fill this research gap, this study examines the combined effects of physicians' certainty tone as information characteristics, seniority as provider characteristics and disease severity as recipient characteristics on patients' health information adoption.

Drawing on dual-process theory and information adoption model, an extended information adoption model is established in this study to examine the effect of attitude certainty on patients' health information adoption, and the moderating effects of online seniority and offline seniority, as well as patient motivation level—disease severity. Utilizing logit regression models, the authors empirically tested the hypotheses based on 4,224 Q&A records from a popular Chinese OHC.

The results show that (1) attitude certainty has a significant positive impact on patients' health information adoption, (2) the relationship between attitude certainty and information adoption is negatively moderated by physicians' online seniority, but is positively moderated by offline seniority; (3) there is a negative three-way interaction effect of attitude certainty, online seniority and disease severity on patients' health information adoption.

This study extends the information adoption model to examine the two-way interaction between argument quality and source reliability, as well as the three-way interaction with user motivation level, especially for health information adoption in the healthcare field. These findings also provide direct practical applications for knowledge contributors and OHCs.

In recent years, the incidence of cardiovascular disease has continued to rise, and early screening and prevention are especially critical. Phonocardiography (PCG) and electrocardiography (ECG), as simple, cost-effective and non-invasive tests, are important tools for clinical analysis. However, it is difficult to fully reflect the complexity of the cardiovascular system using PCG or ECG tests alone. Combining the multimodal signals of PCG and ECG can provide complementary information to improve the detection accuracy. Therefore, the purpose of this paper is to propose a multimodal signal classification method based on continuous wavelet transform and improved ResNet18.

The classification method is based on the ResNet18 backbone, and the ResNet18 network is improved by embedding the global grouped coordinate attention mechanism module and the improved bidirectional feature pyramid network. Firstly, a data acquisition system was built using a MEMS-integrated PCG-ECG sensor to construct a private data set. Second is the time-frequency transformation of PCG and ECG synchronized signals on public and private data sets using continuous wavelet transform. Finally, the time-frequency images are categorized.

The global grouped coordinate attention mechanism and bidirectional feature pyramid network modules proposed in this paper significantly enhance the model’s performance. On public data sets, the method achieves precision, sensitivity, specificity, accuracy and F1 score of 97.96%, 98.51%, 97.58%, 98.08% and 98.23%, respectively, which represent improvements of 3.54%, 3.92%, 4.18%, 4.03% and 3.72% compared to ResNet18. Additionally, it demonstrates a clear advantage over existing mainstream algorithms. On private data sets, the method’s five metrics are 98.15%, 98.76%, 98.08%, 98.42% and 98.45%, further validating the model’s generalization ability.

The method proposed in this paper not only improves the accuracy and efficiency of the test but also provides an effective solution for early screening and prevention of cardiovascular diseases.

Poor mental health is a well-recognized issue in the construction sector. However, there is still little understanding of factors affecting construction employees’ awareness of mental health problems (MHP). This study aims to investigate the awareness of MHP among construction employees using the Health Belief Model (HBM). The research explores how various factors, such as perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action and self-efficacy, shape MHP awareness within the construction sector.

A structured four-step research methodology was employed. First, a literature review and expert validation identified 28 variables relevant to MHP awareness. A questionnaire was then developed and distributed to construction employees in Vietnam, with 238 valid responses collected. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to validate the evaluation model. After that, fuzzy synthetic evaluation (FSE) was used to assess the importance of each dimension of MHP awareness.

The results indicate that perceived barriers and perceived benefits were the two most significant factors in MHP awareness. The remaining dimensions – perceived susceptibility, perceived severity, cues to action and self-efficacy – were found to have a lesser but notable impact on MHP awareness.

This research comprehensively analyzes MHP awareness among construction employees using the HBM framework. The findings suggested that Vietnamese firms should focus on increasing cues to action and self-efficacy to improve MHP awareness among construction employees. This study also proposed that construction firms should provide more stress-reduction activities and training programs suitable to the Vietnamese context for their employees.

This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one of the industry 4.0 pioneers.

Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.

As a result, the majority of uniform parts printed in polymer form are known up to this point. In a novel division for better researchers’ comprehension, uniform printing systems were classified into three categories: oxygen inhibition (OI), liquid lubrication (LL) and photon penetration (PP), and each was thoroughly investigated. Furthermore, these three approaches were evaluated in terms of printing speed, precision and accuracy, manufacturing scale and cost.

The parameters of each approach were compared independently, and then a practical comparison was conducted among these three approaches. Finally, a variety of technologies, opportunities, challenges and advantages of each significant method, as well as a future outlook for layerless rapid prototyping, are presented.

Online games are highly popular Internet applications. Some games enable players to save game progress and accumulate experiences or changes to avatars during gameplay, whereas some other games do not, requiring players to restart from the beginning each time. That is, games differ in avatar accumulability. However, we do not know whether games should be designed to permit avatar accumulability or not and how it affects players’ gameplay experience and therefore game outcomes, indicating gaps. Research addressing these gaps can inform game makers in designing games that effectively strengthen their players’ game loyalty.

We used social identity theory (SIT) to construct a theoretical model. To test this model, three waves of survey data were gathered from the same 778 participants.

These findings uniquely indicate that avatar accumulability fosters avatar identification and increases players’ focused immersion, thus increasing players’ loyalty.

Game providers could include game features that enable players to accumulate their avatars’ in-game skins, levels, items (weapons and equipment) and experience points. This accumulability can help strengthen players’ game loyalty.

Overall, our study extends SIT by adding a new trigger (avatar accumulability) and two novel consequences of avatar identification (image protection and focused immersion) in avatar-related systems (games or gamified systems). The new trigger offers an actionable means to apply SIT, while the novel consequences verify the value of applying SIT to study online games.

The rapid development of digital reading has made it a mainstream reading method for the public, and scholars have conducted research on its effectiveness.The purpose of this study is to systematically summarize and generalize the factors that affect the effectiveness of digital reading in current practical research.

Retrieved the search results from the Web of Science database and the China National Knowledge Infrastructure database, collected the relevant literature in both Chinese and English on the effectiveness of digital reading, qualitatively coded the relevant literature, and conducted a systematic literature review analysis on the factors affecting the effectiveness of digital reading.

There are 37 factors that influence the effectiveness of digital reading, forming five factor themes, namely, the reading subject, reading environment, organizational support, technical support and reading text. The five influencing factor themes are further divided into three types of functional mechanisms, namely, driving, supportive and assurance mechanisms. Based on this, a research framework is proposed, providing a comprehensive approach for the research positioning of digital reading effectiveness.

A research framework is proposed, providing a comprehensive approach for the research positioning of digital reading effectiveness.

The emergence of the COVID-19 epidemic has considerably increased the intricacy of information, exacerbating the difficulties firms encounter in efficiently processing and understanding accurate data and knowledge. Consequently, the COVID-19 epidemic has profoundly exacerbated production ambiguity for firms, thereby disrupting their regular business operations and supply chain activities. Digital technologies (DTs) are essential tools for firms to process and interpret information and knowledge, thereby improving their resilience against supply chain interruptions.

This research investigates the effect of digital technologies on firm resilience throughout COVID-19, utilizing PLS-SEM and artificial neural networks (ANN) derived from a comprehensive survey of Pakistani manufacturing firms.

Our research assesses the mediating role of supply chain integration, memory, and absorptive capacity, as well as the moderating influence of information complexity. The outcomes demonstrate that supply chain integration (SCI), memory (SCM), and absorptive capacity (SCAC) mediate digital technologies’ influence on firm resilience. Moreover, in situations where information is highly complex, DTs have a greater effect on a firm’s resilience.

The results enhance our comprehension and awareness of the resilience-related effects of DTs and offer significant management insights for strengthening firm resilience in the setting of the COVID-19 pandemic.

This paper aims to investigate whether and how enterprise social media (ESM) affordances affect employee agility.

Adopting self-determination theory (SDT), this study examines a model in which the four ESM affordances (i.e. visibility, association, editability and persistence) impact employee agility through the three basic psychological needs satisfaction (i.e. perceived autonomy, perceived relatedness and perceived competence) of employees. Mplus 7.4 was used to analyze survey data gathered from 304 employees who used ESM in the workplace.

The authors’ findings show that all four ESM affordances contribute to perceived relatedness and perceived competence; visibility and association affordances also have positive impacts on perceived autonomy; and all three psychological needs satisfaction positively impact employee agility.

First, this study adapted SDT to explore how ESM influences employee agility. Second, this study enriches the relevant research on the antecedents of employee agility and also provides new evidence and theoretical support for employee agility. Third, this study effectively expands the antecedents and outcomes of employee basic psychological needs satisfaction in the domain of ESM and agility.