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Virtual clothing presentation has a visual 3D effort and allows consumers to interact. Currently, most scholars make virtual clothing presentations as a whole or focus on one element to study its impact on consumers’ purchase intentions. This study disassembles the components of virtual clothing presentation in Taobao and explores how each component (virtual clothing, virtual model, presentation space, presentation technology and system quality) affects consumers’ purchase intention, which can provide clothing companies recommendations for developing it and help improve consumers’ online shopping experience.

This study created the parts of a virtual clothing presentation and took advantage of Taobao’s 3D interactive module to simulate a shopping scenario. Participants experienced a 3D interactive virtual clothing presentation in which they could change clothing colors, show actual clothing sizes, try different model poses, switch presentation backgrounds and unfold clothing structure through interactive buttons. Then they were randomly assigned to view two kinds of images and videos of experiment clothing (real images and videos vs virtual ones), respectively. Hypotheses were tested using SEM and applying SmartPLS 4.

The results demonstrated that five components of virtual clothing presentation have different degrees of influence on consumers’ purchase intention through different consumer perceptions (perceived usefulness, ease of use and enjoyment). It is necessary to consider the design of the virtual clothing presentation in those five dimensions for different needs. In addition, it is feasible to replace images and animated videos of real clothing with virtual ones in Taobao.

Different types of virtual clothing presentations can lead to various results in terms of diverse impacts. This study disassembles and researches each component of a virtual clothing presentation. Overall, this study could provide guidance and suggestions for clothing companies to develop and design or invest in virtual clothing presentations.

Servitization of products is becoming increasingly prevalent among manufacturing enterprises. Existing research has primarily focused on exploring whether the direct impact of servitization on manufacturer performance follows a linear or a curvilinear relationship. However, the understanding of the underlying mechanisms between servitization and manufacturer financial performance remains limited. This paper aims to examine the non-linear relationship between servitization and manufacturer performance as well as the mediating process and boundary condition associated with this relationship.

Drawing on resource-advantage theory, this paper proposes a theoretical model of the U-shaped relationship between servitization and the financial performance of equipment manufacturers. Panel data of 248 listed equipment manufacturers in China during the period of 2010–2020 are used to test each hypothesis through the ordinary least square method.

The empirical results indicate that servitization follows a U-shaped relationship with service business focus and the financial performance of equipment manufacturers. Service business focus mediates this U-shaped relationship between servitization and financial performance, and digital technology application moderates this relationship.

This paper pioneers the unraveling of the potential mechanism that can explain the curvilinear relationship between servitization of manufacturers and financial performance. This mechanism is the focus of the service business, which is theoretically delineated and empirically tested. Furthermore, digital technology application enables manufacturers to achieve service business focus more effectively in the process of servitization. Thus, this study addresses the call for research on digital servitization.

Dark tourism is a new coinage rooted in the perception of tourism activities at the sites or destinations connected to phenomena that bear varied, flexible, dynamic, diverse, and graded dark shades of life and civilization. It is now customary to subsume it within the sets of niche tourism. Some dark tourism sites attract visitors and generate sizable amounts of revenue, yet most of the world does not register much demand compared to other niches. Accordingly, promotion pursuit turned crucial to draw the market’s attention, creating its competitively distinct position.

Indeed, inherent issues, such as conceptual multiplicity within nature, aspect, attribute, and product paradigm, turn dark tourism into a complex phenomenon and put a challenge toward creating its distinct market position. Additionally, contradictions in semantic and functional significances, conflicts in framing morbid memory and authentic portrayal, variances in ethical, cultural and ideological interpretations, transition of liminal space identity, and diverse focuses in stakeholder engagement in imaging impede efforts to transform dark tourism attractions into a significant driver of tourism.

This chapter will locate and address the issues that challenge the marketability of dark attractions and dark tourism promotion more directly, with attention to the Indian context.

This study examines the relationship between financial reporting quality, Industrial Revolution 4.0 and social well-being of stakeholders among public companies in Malaysia.

The sample of the study includes 232 firm-year observations of Malaysian publicly listed companies from 2013 to 2017. Social well-being is measured using social pillar scores from the Environmental, Social and Governance (ESG) data provided by Refinitiv. The study identified companies as an adopter of IR 4.0 based on their disclosure on the use of autonomous robots, simulation, cloud, horizontal and vertical system integration, cybersecurity, additive manufacturing, augmented reality and big data analytics in their financial reports. Financial reporting quality is measured using discretionary accruals.

This study found that financial reporting quality and IR 4.0 are related to social well-being, particularly the workforce. These results imply that companies with higher adoption of IR 4.0 are more likely to provide more information concerning job satisfaction, a healthy and safe workplace, maintaining diversity, equal and development opportunities for its workforce. Furthermore, the results show that firms with lower discretionary accruals (i.e. higher quality of financial reporting) are more likely to provide more information about social well-being. The results are robust even after addressing endogeneity issues.

This research contributes new insights into the role of financial reporting quality and IR 4.0 in enhancing social well-being in Malaysia. These findings offer valuable input for regulators striving to advance the United Nations' 2030 Agenda for Sustainable Development.

This study carries substantial practical implications for policymakers and businesses alike. It underscores the importance of embracing IR 4.0 technologies and integrating them into strategic planning to foster social well-being. These insights can guide policymakers in shaping economic strategies and assist businesses in prioritizing financial reporting quality while engaging stakeholders to promote social well-being.

This is the first study to investigate the combined relationship of financial reporting quality and IR4.0 on social well-being, which provides valuable evidence in this novel domain. While previous studies have primarily explored the relationship of IR4.0 on sustainability from an environmental and human resource perspective, this study sheds light on the specific dimension of social well-being, hence promoting sustainable development goals by the United Nations in 2030.

This paper aims to facilitate the research and development of resilient navigation approaches, explore the robustness of adversarial training to different interferences and promote their practical applications in real complex environments.

In this paper, the authors first summarize the real accidents of self-driving cars and develop a set of methods to simulate challenging scenarios by introducing simulated disturbances and attacks into the input sensor data. Then a robust and transferable adversarial training approach is proposed to improve the performance and resilience of current navigation models, followed by a multi-modality fusion-based end-to-end navigation network to demonstrate real-world performance of the methods. In addition, an augmented self-driving simulator with designed evaluation metrics is built to evaluate navigation models.

Synthetical experiments in simulator demonstrate the robustness and transferability of the proposed adversarial training strategy. The simulation function flow can also be used for promoting any robust perception or navigation researches. Then a multi-modality fusion-based navigation framework is proposed as a light-weight model to evaluate the adversarial training method in real-world.

The adversarial training approach provides a transferable and robust enhancement for navigation models both in simulation and real-world.

Despite the burgeoning popularity of virtual gifting in live streaming, research lacks an in-depth understanding of the drivers behind this behavior. Using para-social relationship (PSR), this study aims to capture viewers’ lively social feelings toward the streamer as the key factor leading to the purchase behavior of virtual gifts. It also aims to establish a theoretical link between PSR and viewers’ holistic experience in live streaming as captured by cognitive absorption and aims to investigates the role of technological features (i.e. viewer–streamer and viewer–viewer interactivity, streamer-level and viewer-level deep profiling and design aesthetics) in shaping viewers’ experience.

Based on 433 survey responses, this study employs a combination of structural equation modeling and neural networks to offer valuable insights into the relationships between the technological environment, viewer experience and viewer behavior.

Our results highlight the salience of PSR in promoting the purchase of virtual gifts through cognitive absorption and the importance of the technological environment in eliciting the viewer experience. This study sheds light on the development of PSR in a technological environment and its relationship with cognitive absorption.

By applying PSR to conceptualize viewers’ perceived connection with the streamer, this study extends the research on purchase behavior in the non-shopping context by providing an enlightened understanding of virtual gift purchase behavior in live streaming. Moreover, by theoretically linking PSR with cognitive absorption, virtual gift purchase and technological features of live streaming, it enriches the theory of PSR and bridges the gap between the design practice of supporting the IT infrastructure of live streaming and research.

This study aims to investigate the quality level of the leading three Public Administration Institutes’ (PAIs) websites in the Arab world.

A convenient sample of 203 Jordanian Government employees answered the questionnaire that assessed five quality dimensions (content, navigation, interface design, accessibility and educational purpose) for each website.

The website of PAI of Kingdom of Saudi Arabia recorded a high level in all quality dimensions, whereas the website of PAI of Jordan recorded moderate quality in all dimensions except for accessibility; the website of PAI of Egypt recorded a high level in all quality dimensions except for the educational purpose. Based on the qualitative analysis, participants agreed that the PAI website has the best quality, accessibility, navigation and design compared with the Egyptian and the Jordanian PAIs websites.

Designers of PAI websites should consider end users’ needs and regularly assess the website’s usability. PAIs developers should also establish more interactive portals to provide transparent and effective electronic services to users. The findings are significant in helping policymakers better understand the importance of distance training and learning using websites and platforms.

Developing a high-quality website enhances the relationship between the government and its employees, consequently establishing the credibility and trust of citizens in public services.

To the best of the authors’ knowledge, this is the first study that measures the quality of PAI websites in the Arab world. The findings provide more cross-culture evidence for the e-government and digital literature in helping policymakers develop more technology interactive platforms.

The metaverse, a virtual space where one can build and explore with others using avatars, is drawing global interest. Then questions arise: What drives consumers to customize their avatars and purchase virtual items in the metaverse? Who customizes and purchases virtual items more than others? To find the answers, this study tested a research model that explains why consumers customize their avatars and buy virtual items in the metaverse.

Based on the stimuli-organism-response model, this study posits that metaverse characteristics (i.e. escapism, visual attractiveness, social interaction and autonomy) arouse consumers’ curiosity toward the metaverse, which in turn evokes avatar customization behavior and virtual item purchase intention. Survey data from 501 metaverse-experienced consumers in both the US and Korea are analyzed.

The result revealed that all four metaverse characteristics were found to stimulate consumers’ curiosity. Consumers’ curiosity enhances avatar customization behavior and purchase intention of the virtual items. Further, avatar customization behavior increases the purchase intention of virtual items.

The findings provide valuable insights into how metaverse platforms can effectively engage consumers by stimulating curiosity, especially through social interaction, and offering extensive avatar customization options and virtual items.

This study highlights how the metaverse’s open-ended experiences, user-driven customization and social interactions – unlike traditional online games – spark consumer curiosity. It emphasizes the pivotal role of curiosity in driving metaverse engagement and highlights the need to consider it as a central construct in future research. Additionally, this study provides managerial implications for virtual item purchases in the metaverse.

This study aims to examine the association between chief executive officers’ (CEOs) characteristics and sell-side analysts’ recommendations.

This study uses a sample of firms listed on the London Stock Exchange and uses two databases, Capital IQ and BoardEx to study the above relationship. A variety of regression analyses are used in the empirical models, including ordinary least squares, fixed effect, random effect, Tobit, Logit and generalized method of moments.

The authors find that firms with CEOs who had a wider network size and firms with foreign CEOs receive favorable investment recommendations. Further, firms with CEOs who have more time to retire are more likely to receive favorable investment recommendations. However, the authors find that firms with CEOs with more qualifications receive unfavorable recommendations and female CEOs are not affecting investment recommendations.

Ultimately, this study demonstrates the importance of CEO characteristics for sell-side analysts who play an important role in the stock markets.

This study investigates whether a firm that has experienced an environmental accident (EA) is less likely to conduct a product recall. If true, it would indicate that EAs tempt firms to hide operational problems that need to be revealed. The logic is that both events are operational failures that damage a firm's reputation and share price. Following an EA, a firm may avoid a discretionary product recall to avoid providing additional evidence of operational incapability and social irresponsibility and thereby triggering amplified reputational and market penalties.

The dataset is compiled from several public and private sources and includes 4,355 product recalls, 153 EAs and 120 firms from the industries that often recall products, including automotive, pharma, medical device, food and consumer products. The study timeframe is 2002–2013. Empirical models are evaluated using hazard modeling.

Results show that EAs reduce the probability of a product recall by 32%, on average. Effect sizes are larger when accidents are more frequent or more severe and when recalls are less severe. Through post hoc analyses, the study finds support for the proposed mechanism that firms avoid recalls due to reputational concerns, provides evidence that EAs can have a lengthy impact on recall behavior, and shows that firms are more likely to avoid recalls managed by the CPSC and NHTSA than recalls managed by the FDA.

Prior studies in operations management (OM) have not examined the impact of one negative event on another. This study finds that EAs tempt firms to hide operational problems that need to be revealed. While recalling fewer defective products is of concern to consumers and regulators, should EAs influence a broader set of discretionary operational decisions, such as closing/relocating a production facility, outsourcing production or conducting a layoff, study implications increase significantly.