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This study investigates the influence of e-marketing risks on a Corporation’s Reputation (CR) resulting from its online marketing of products and services.

A comprehensive analysis was conducted to enhance the company’s e-marketing strategies and bolster its reputation in the market. This involved an investigation into key factors of e-marketing risks, such as customer confidence, product quality, marketing fraud, credibility and customer knowledge and proficiency in using online platforms. These factors have directly impacted the company’s reputation, including aspects such as product/service quality, attractiveness, performance and commitment to social responsibility.

Its finding indicates that customers' lack of confidence in e-marketing has a strong impact on CR, followed by product quality and credibility. The absence of consumer awareness about e-marketing websites and e-fraud frequently negatively affects the organizational reputation.

To enhance the corporation’s reputation, it is recommended that companies provide educational resources on online shopping, including guidance on using the company’s website, comparing prices and other services that facilitate online purchases. This will help to support the credibility of e-marketing and enhance customer trust.

This research is an exploration of how e-marketing has affected a Corporation’s Reputation. It provides modern knowledge about the dynamic interplay between digital strategies and brand perception. Investigating this relationship provides valuable insights into the evolving landscape of consumer trust in the digital age. By analysing the various ways in which e-marketing influences a company’s reputation, innovative approaches can be developed to enhance its online presence and build lasting customer trust.

The purpose of this paper aims to investigate the adaptive impedance control and its optimized PSO algorithm for force tracking of a dual-arm cooperative robot. Because the dual-arm robot is directly in contact with external environment, controlling the mutual force between robot and external environment is of great importance. Besides, a high compliance of the robot should be guaranteed.

An impedance control based on Particle Swarm Optimization (PSO) algorithm is designed to track the mutual force and achieve compliance control of the robot end.

The experimental results show that the impedance control coefficients can be automatically tuned converged by PSO algorithm.

The system can reach a steady state within 0.03 s with overshoot convergence, and the force fluctuation range at the steady state decreases to about ±0.08 N even under the force mutation condition.

This paper investigates the news coverage of research documents with the top Altmetric attention score (AAS) using a descriptive and explorative approach.

A dataset comprising 1,000 articles with high AAS was retrieved from Altmetric.com. The DOIs of these articles were then used to retrieve citation data from Dimensions. Data collection was finalized on February 11, 2024, and separate Excel files were merged using SPSS. The research included subject analysis and conducted correlation and Mann–Whitney U statistical tests.

The study reveals that the highest number of articles with high AAS were published in 2020. News post correlation with citation count is stronger than with AAS score. From the top AAS documents, titles of those with the highest news post counts include public concern keywords, and their subjects were primarily biomedical and clinical sciences. While no significant difference exists between multidisciplinary and specialty journal news posts, there is an increase in the variety of news sources in 2020 and 2021. Documents on biomedical and clinical sciences receive the most attention primarily from US-based news outlets, and many of the news outlets covering top AAS documents do not have specific subject orientations.

Researchers and journal editors should prioritize factors influencing research news coverage, including subjects, writing styles, and publication sources. Science writers should expand their coverage to include academic publications from subject areas beyond biomedical and clinical sciences. They can also consider diverse publication sources, such as preprints.

This study offers insights into the news coverage of top social-attention academic articles and is among the first to analyze the news coverage of academic publications.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2022-0666

High-quality labor supply is inevitable to maintain sustainable and steady economic growth. This study mainly explores the impact of the social pension system on the health of human capital, and further explores its impact mechanism.

On the basis of the data from China Family Panel Studies from 2012 to 2018, this article uses the fixed effect model and the mediation effect model to empirically study the influence of the social pension scheme on the health of human capital and further explore its influence mechanism.

This study shows that the social pension scheme can significantly improve the physical and mental health of laborers, especially for low-income and agricultural groups. The implementation of the social pension scheme contributes to increasing medical services and reducing the labor supply for the benefit of human health capital. Therefore, the government should continue to expand the coverage of the social pension scheme and comprehensively improve the importance of human health capital on economic growth.

Medical costs and labor supply play a mediating effect in the relationship between social pension and rural labors' health status, which indicates that medical costs and labor supply level are still important factors affecting the health status of rural labor. There are essential factors affecting the health status of the rural labor force, and their role should be given more consideration in the process of system design and improvement.

The existing studies have more frequently studied the effect of the implementation of social pension schemes from the perspective of economic performance, but this paper evaluates the policy effect of social pension schemes based on the perspective of health human capital, which enriches research on health performance in related fields.

The health and survival of massively multiplayer online games (MMOGs) are of paramount concern to stakeholders. It is essential to understand the usage behaviors of exploitative and exploratory strategies. By combining the typical user experience with psychological mechanisms in MMOGs, this study is devoted to clarifying how technology affordance and digital perfectionistic intention influence reinforcement and variety-seeking orientations of MMOGs use.

This study adopted a sequential triangulation mixed-methods design to explore how diverse usage behaviors of reinforced and varied use in MMOGs are formed. After proposing the theoretical framework from MMOGs affordance, perfectionistic intentions, and diverse use, empirical evidence was initially collected from representative samples through a survey. Qualitative interviews from players in MMOGs and game industry practitioners are conducted to confirm the results, supplement understanding, and gather insights from diverse backgrounds. The quantitative and qualitative inferences are discussed to validate the research focus.

Findings from various perspectives suggest that perfectionistic intentions are critical antecedents of different usage behaviors influenced by affordances provided in MMOGs. Goal-driven affordance with reward and competition, interaction affordance, and identity affordance are key MMOGs affordances and could affect perfectionistic intentions differently. People with different perfectionistic intentions, which are the psychological outcome of MMOGs affordances, possess diverse usage behaviors.

This study is the first to consider diverse usage behaviors in virtual worlds such as MMOGs by combining lenses of perfectionistic intentions and technology affordance. Findings from mixed-methods analysis significantly enrich the research on online game usage behavior, offering valuable theoretical and practical implications for studying usage behaviors within the virtual world.

This paper aims to examine a new approach to understanding the interrelationships between destination brand gender, stereotypes, destination brand identification and brand advocacy, as well as the mediating role of destination warmth (vs. competence) in the connections between destination brand femininity (vs. masculinity) and destination brand identification.

A qualitative study and literature review were conducted to revisit and refine the items on the scale. Preliminary item reduction was qualitatively grounded in focus groups, a panel of experts, and a pilot study. A follow-up quantitative evaluation of two studies (N1 = 705 and N2 = 472) was conducted to test seven hypotheses using exploratory factor analysis and confirmatory factor analysis with structural equation modeling.

The findings provide robust evidence for the interrelationships among destination brand gender, stereotypes, destination identification and destination advocacy. The outcomes also reveal that warmth is more important than competence for destination identification. Finally, the results indicated that only destination warmth serves as a partial mediator in the association between destination brand masculinity and femininity, on the one hand, and destination identification, on the other hand.

This article adds to the destination branding literature by using social role theory and the stereotype content model to explore novel connections among destination brand gender, stereotypes, destination brand identification and brand advocacy.

The purpose of this paper is to present an integrated data-driven framework for processing and analyzing large-scale vehicle maintenance records to get more comprehensive understanding on vehicle quality.

We propose a framework for vehicle quality analysis based on maintenance record mining and Bayesian Network. It includes the development of a comprehensive dictionary for efficient classification of maintenance items, and the establishment of a Bayesian Network model for vehicle quality evaluation. The vehicle design parameters, price and performance of functional systems are modeled as node variables in the Bayesian Network. Bayesian Network reasoning is then used to analyze the influence of these nodes on vehicle quality and their respective importance.

A case study using the maintenance records of 74 sport utility vehicle (SUV) models is presented to demonstrate the validity of the proposed framework. Our results reveal that factors such as vehicle size, chassis issues and engine displacement, can affect the chance of vehicle failures and accidents. The influence of factors such as price and performance of engine and chassis show explicit regional differences.

Previous research usually focuses on limited maintenance records from a single vehicle producer, while our proposed framework enables efficient and systematic processing of larger-scale maintenance records for vehicle quality analysis, which can support auto companies, consumers and regulators to make better decisions in purchase choice-making, vehicle design and market regulation.

Coordinating low-carbonization and digitalization is a practical implementation pathway to achieve high-quality economic development. Regions are under great emission reduction pressure to achieve low-carbon development. However, why and how regional emission reduction pressure influences enterprise digital transformation is lacking in the literature. This study empirically tests the impact of emission reduction pressure on enterprise digital transformation and its mechanism.

This article takes the data of non-financial listed companies from 2011 to 2020 as a sample. The digital transformation index is measured by entropy value method. The bidirectional fixed effect model was used to test the hypothesis.

The research results show that emission reduction pressure forces enterprise digital transformation. The mechanism lies in that emission reduction pressure improves digital transformation by promoting enterprise innovation, and digital economy moderates the nexus between emission reduction pressure and digital transformation. Furthermore, the effect of emission reduction pressure on digital transformation is more significant for non-state-owned, mature and high-tech enterprises.

This paper discusses the mediating role of enterprise innovation between carbon emission reduction pressure and enterprise digital transformation, as well as the moderating role of digital economy. The research expands the body of knowledge about dual carbon targets, digitization and technological innovation. The author’s findings help update the impact of regional digital economy development on enterprise digital transformation. It also provides theoretical guidance for the realization of digital transformation by enterprise innovation.

The purpose of this paper is to develop a model considering synergy effect for prefabricated construction service combination selection.

This research defines prefabricated construction service as a service-led construction method that meets the specific requirements of clients. Based on network theory, the multi-dimensional collaborative relationships of the prefabricated construction inter-services are formulated. The synergy effect is quantitatively calculated through the linear weighting of the strengths of collaborative relationships. Further, a weighted synergy network (WSN) is developed, from which a service composition selection model considering the synergy effect is established. Then, a genetic algorithm is employed to implement the model.

The results showed that (1) when the number of prefabricated construction services is increased, the synergy effect of combination options is enhanced; (2) The finer-grained prefabricated construction services, the stronger the synergy effect of service combination; (3) Clients have heterogeneous preferences for collaborative relationships, and there are differences in the synergy effect of service combination.

The contribution of this research includes proposed a method to quantify the synergy effect from the perspective of collaborative relationships, explored the specific procedure for the prefabricated construction service combination selection under the service-led construction, and provided a reference for promoting the development in construction. Besides, the model proposed could be applied to prefabricated construction service composition selection with diverse research boundaries or client preferences by executing the same procedure.