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Online complaints have emerged as a pivotal avenue for customers to voice their dissatisfaction. In this context, bystanders, as third-party observers, actively engage in evaluating and judging these complaints. However, studies pertaining to bystanders in online customer complaints remain limited. Therefore, this study aims to integrate deontic justice theory and attribution theory to construct a research model of bystanders’ support for online customer complaints.

Leveraging a questionnaire and two scenario experiments, SPSS 24.0 and AMOS 24.0 were used to examine the relationship between bystanders’ moral outrage and their support for online customer complaints, the mediating role of responsibility attribution and the moderating role of experience similarity and online anonymity.

Based on the statistical analysis, the results show that bystanders’ moral outrage significantly enhances their support for online customer complaints; responsibility attribution plays a mediating role between moral outrage and bystanders’ support for online customer complaints; experience similarity and online anonymity can moderate the relationship between moral outrage and bystanders’ support for online customer complaints.

The findings of this study not only enrich the literature on online customer complaints but also provide valuable insights for companies to understand the diffusion of online complaints and effective strategies with which to address them.

This paper aims to address the safety concerns of path-planning algorithms in dynamic obstacle warehouse environments. It proposes a method that uses improved artificial potential fields (IAPF) as expert knowledge for an improved deep deterministic policy gradient (IDDPG) and designs a hierarchical strategy for robots through obstacle detection methods.

The IAPF algorithm is used as the expert experience of reinforcement learning (RL) to reduce the useless exploration in the early stage of RL training. A strategy-switching mechanism is introduced during training to adapt to various scenarios and overcome challenges related to sparse rewards. Sensor inputs, including light detection and ranging data, are integrated to detect obstacles around waypoints, guiding the robot toward the target point.

Simulation experiments demonstrate that the integrated use of IDDPG and the IAPF method significantly enhances the safety and training efficiency of path planning for mobile robots.

This method enhances safety by applying safety domain judgment rules to improve APF’s security and designing an obstacle detection method for better danger anticipation. It also boosts training efficiency through using IAPF as expert experience for DDPG and the classification storage and sampling design for the RL experience pool. Additionally, adjustments to the actor network’s update frequency expedite convergence.

Customer value co-creation behavior is promising but undertheorized. To bridge this gap, this study examines the viability of a social cognitive theory positing that customers' value co-creation behavior is shaped by their co-creation experience, self-efficacy, and engagement.

Using healthcare as a case, a stratified random sample comprising 600 patients from 40 hospitals across eight metropolitan cities in an emerging economy was acquired and analyzed using co-variance-based structural equation modeling (CB-SEM).

Customers' co-creation experience has a positive impact on their co-creation self-efficacy, co-creation engagement, and value co-creation behavior. While co-creation self-efficacy and engagement have no direct influence on value co-creation behavior, they do serve as mediators between co-creation experience and value co-creation behavior, suggesting that when customers are provided with a co-creation experience, it enhances their co-creation self-efficacy and engagement, ultimately fostering value co-creation behavior.

A theory of customer value co-creation behavior is established.

Drawing on the conservation of resources (COR) theory, we propose a mediated moderation showing how proactive personality (PP) and job crafting toward interests (JC-interests) influence the relationship between interest incongruence and cyberloafing.

We used a three-wave survey and collected data from 429 full-time employees working in different industries in China.

We found that interest incongruence was positively related to cyberloafing. Furthermore, this positive relationship was more significant when employees were low in PP or engaged in low levels of JC-interests. In addition, the moderating effect of PP was mediated by JC-interests.

These findings are helpful for organizations in figuring out how to mitigate the detrimental effects of interest incongruence by providing more support to proactive employees and implementing various JC interventions.

This study suggests that PP and JC-interests (resource gain strategy) could mitigate the positive effect of interest incongruence on employees’ cyberloafing.

Based on affective events theory, this research attempted to investigate how negative gossip about organizational change drives employees to experience negative emotions and direct their aggression toward customers.

We conducted a scenario-based experiment (Study 1) and a multiwave field survey (Study 2) to test our hypotheses.

The results show that (1) negative emotions mediate the relationship between change-related negative gossip and displaced aggression toward customers; (2) perceived organizational constraints strengthen the relationship between change-related negative gossip and negative emotions; (3) future work self-salience weakens the relationship between change-related negative gossip and negative emotions; and (4) change-related negative gossip has a strengthened (weakened) indirect effect on displaced aggression via negative emotions when employees have high perceived organizational constraints (future work self-salience).

The study expands research on organizational change and displaced aggression and provides practical implications for managing organizational change.

The purpose of this study is to examine the influence of ESG practices on green innovation with the moderating effect of innovation orientation in Malaysian manufacturing listed companies.

This study employed a quantitative research approach by using a well-structured questionnaire for data collection. The questionnaire was distributed to 204 Malaysian manufacturing listed companies in consumer products and services sector. Finally, partial least square-structural equation modeling (PLS-SEM) was utilized to examine the relationship between constructs.

Based on stakeholder theory, results indicated that environmental, social and governance (ESG) practices significantly improve green innovation. The insignificant moderating effect of innovation orientation was identified between the relationship of environmental and social practices and green innovation. Interestingly, results affirmed the negative moderating effect between the relationship of governance practices and green innovation.

This study is limited to Malaysian manufacturing companies of consumer products and services sector in Bursa Malaysia. Hence, the findings of this study cannot be generalized to manufacturing companies of other geographical contexts.

This work provides constructive implications to management and policymakers of Malaysian manufacturing companies in strategic planning toward enhancing green innovation and developing business competitiveness to achieve sustainable business performance.

This research magnifies valuable insights into the literature through a comprehensive model that simultaneously investigates the relationships between ESG practices, innovation orientation and green innovation. In addition, this is the first attempt to investigate the influence of ESG practices on green innovation with a moderating effect of innovation orientation, which indeed strengthens the originality of this study.

In this paper, the authors aim to study the relationship between hydrogen embrittlement (HE) susceptibility and cathodic current density applied on the X70 steel girth welds.

The HE susceptibility of X70 steel girth welds were investigated through slow strain rate tensile test and observed and analyzed by optical microscope and scanning electron microscope methods.

The results show that HE susceptibility of X70 girth weld was basically unchanged with increasing of ion concentration while gradually increased and maintain at a specific value with the increase of cathodic current density. As for same ion content, a dense calcareous deposit layer generated on the sample surface in soil simulation solution with Ca2+ and Mg2+ resulted a decreased HE susceptibility while the porous calcareous deposit layer resulted a increased HE susceptibility.

A logistic regression model was established to describe the correlation between HE index and the cathodic current density.

The aim of this paper is to explore the relationship between digital transformation and corporate fraud.

This paper uses panel data of Chinese listed corporations from 2010 to 2021 and captures digital transformation from the perspectives of awareness and investment by extracting related content from annual reports. Our work investigates whether and how digital transformation influences corporate fraud and examines the moderating effects of the legal environment, media environment and privacy concerns.

Our findings show that digital transformation, captured either from awareness or actual investment, can significantly alleviate corporate fraud. Our results are robust in a set of endogeneity tests and robustness checks. Additionally, we confirm that digital transformation alleviates corporate fraud through two mechanisms: improving internal monitoring and boosting information flow. Additionally, this alleviating effect is more pronounced for corporations with fewer privacy concerns and in worse legal and media environments.

Our findings provide insights for policymakers to motivate corporations to engage in digital transformation for fraud prevention. We also offer guidelines for corporations to improve their awareness and actual investments in digital transformation and take advantage of its governance effect in preventing corporate fraud.

Overall, we highlight the governance role of digital transformation in alleviating corporate fraud and provide policy implications for regulators in emerging economies to regard digital transformation as an effective tool for fraud prevention.

Real-time monitoring of the critical physical fields of core components in complex equipment is of great significance as it can predict potential failures, provide reasonable preventive maintenance strategies and thereby ensure the service performance of the equipment. This research aims to propose a hierarchical explicit–implicit combined sensing-based real-time monitoring method to achieve the sensing of critical physical field information of core components in complex equipment.

Sensor deployable and non-deployable areas are divided based on the dynamic and static constraints in actual service. An integrated method of measurement point layout and performance evaluation is used to optimize sensor placement, and an association mapping between information in non-deployable and deployable areas is established, achieving hierarchical explicit–implicit combined sensing of key sensor information for core components. Finally, the critical physical fields of core components are reconstructed and visualized.

The proposed method is applied to the spindle system of CNC machine tools, and the result shows that this method can effectively monitor the spindle system temperature field.

This research provides an effective method for monitoring the service performance of complex equipment, especially considering the dynamic and static constraints during the service process and detecting critical information in non-deployable areas.

Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of these tools as part of the technology-assisted enhancement of mechanical engineering education and professional practices.

As part of the investigation, the authors conduct and present a brief scientometric analysis of recently published studies to unravel the emerging trend on the subject matter. Furthermore, experimentation was done with selected GenAI tools (Bard, ChatGPT, DALL.E and 3DGPT) for mechanical engineering-related tasks.

The study identified several pedagogical and professional opportunities and guidelines for deploying GenAI tools in mechanical engineering. Besides, the study highlights some pitfalls of GenAI tools for analytical reasoning tasks (e.g., subtle errors in computation involving unit conversions) and sketching/image generation tasks (e.g., poor demonstration of symmetry).

To the best of the authors’ knowledge, this study presents the first thorough assessment of the potential of GenAI from the lens of the mechanical engineering field. Combining scientometric analysis, experimentation and pedagogical insights, the study provides a unique focus on the implications of GenAI tools for material selection/discovery in product design, manufacturing troubleshooting, technical documentation and product positioning, among others.