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This study aims to synthesize the existing serious games designed to promote mental health in adolescents with chronic illnesses.

This study conducted a review following the guidelines of Joanna Briggs Institute and Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. Searches were conducted in databases PubMed, Scopus, Web of Science, Cochrane Library, cumulative index to nursing and allied health literature, PsycINFO, China national knowledge infrastructure Wanfang, VIP Database for Chinese Technical Periodicals and SinoMed from inception to February 12, 2023.

A total of 14 studies (describing 14 serious games) for improving the mental health of adolescents with chronic diseases were included. Of all the included games, 12 were not described as adopting any theoretical framework or model. The main diseases applicable to serious games are cancer, type 1 diabetes and autism spectrum disorder. For interventional studies, more than half of the study types were feasibility or pilot trials. Furthermore, the dosage of serious games also differs in each experiment. For the game elements, most game elements were in the category “reward and punishment features” (n = 50) and last was “social features” (n = 4).

Adolescence is a critical period in a person’s physical and mental development throughout life. Diagnosed with chronic diseases during this period will cause great trauma to the adolescents and their families. Serious game interventions have been developed and applied to promote the psychological health field of healthy adolescents. To the best of the authors’ knowledge, this study is the first to scope review the serious game of promoting mental health in the population of adolescents with chronically ill. At the same time, the current study also extracted and qualitatively analyzed the elements of the serious game.

It is unattainable that entrepreneurs engage equivalent resources in public and private morality because of the limitation of resources. This study aims to conduct experiments to test how entrepreneurial deviation in morality affects legitimacy perception of consumers to entrepreneurs.

This study conducted secondary data analysis and experiment to test how entrepreneurial deviation in morality affects legitimacy perception of consumers to entrepreneurs.

The experimental results show that entrepreneurial deviation in morality negatively affects legitimacy perceptions of consumers to entrepreneurs. Specifically, when public moral is higher than private moral, consumers have negative perceptions of pragmatic legitimacy to entrepreneurs, because consumers perceive deviation behaviors disobey the norm “Li”. However, entrepreneurial private morality excels public morality, consumers have negative perceptions of social legitimacy to entrepreneurs because consumers perceive deviation behaviors disobey the norm “Qing”. Moreover, the authors examined entrepreneurial values moderate the effects of moral deviation and legitimacy perceptions.

This study expands the ethical marketing of entrepreneurs from the perspective of the deviation between public morality and private morality.

This study clarifies the operational performance of fashion companies during the coronavirus pandemic. Meanwhile, improvement strategies have been provided in the post-pandemic era.

The static and dynamic perspectives were combined to comprehensively analyze the operational performance of fashion companies before, during and after the COVID-19 outbreak. A comparative analysis among five representative countries was conducted to achieve global conclusions. Additionally, data envelopment analysis (DEA) theory and various DEA models were employed for the analysis.

The fashion industry has not achieved overall effectiveness. American companies have the best operational performance, followed by European and Chinese companies. In contrast, the impact of the pandemic on American companies was severe, whereas Chinese and European companies showed operational resilience. In addition, the pandemic had a devastating influence on the global fashion industry. This resulted in a decline in total factor productivity, and the main reason was technological regress. Furthermore, labor redundancy is a critical issue for the fashion industry in the post-pandemic era, even if it shows a decrease because of the pandemic.

The existing theory on the fashion industry during the pandemic was improved by expanding the time and geographical dimensions and integrating the advantages of various DEA models. Scientific improvement strategies were presented in the post-pandemic era with application value.

Empirical evidences support the benefits of environmental innovation to improve performance. However, previous research has not considered the role of resource alignment in green supply chain management. To fill the research gap, this paper aims to identify resource alignment as a potential moderating mechanism and to examine the relationships between environmental innovation strategy, resource alignment and green innovation performance.

The empirical study uses a questionnaire approach designed to collect data. Regression analysis is used for hypotheses testing.

The findings indicate that environmental innovation strategy and resource alignment between partners are positively related to green innovation performance. This study also provides considerable support to the key contingent moderator of resource alignment. The positive effect of environmental innovation strategy on green innovation performance is stronger under the conditions of a higher level of resource alignment between partners.

This study provides empirical support of the ecological modernization theory and integrates partner analysis literature and green management literature. Higher resource alignment may facilitate firms to develop environmental innovation strategy to attain green innovation performance.

Environmental innovation strategy enables firms to integrate ecological issues into their business operation. Managers could learn how to execute environmental incentive programs to promote sustainable development of green new product and green process. Managers need to pay attention to resource alignment that may have moderating influence on the performance outcomes of environmental innovation strategy.

This study highlights the importance of environmental innovation strategy and resource alignment in the process of green management and helps scholars and managers to better understand the moderator of resource alignment in quest of environmental innovation and green management.

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.

The purpose of this study is to scrutinize the influence of individual learning styles on the effectiveness of augmented reality (AR)-based learning in structural engineering. There has been a lack of research examining the correlation between learning efficiency and learning style, particularly in the context of quantitatively assessing the efficacy of AR in structural engineering education.

Using Kolb’s experiential learning theory (ELT), a model that emphasizes learning through experience, students from the construction management department are assigned four learning styles (converging, assimilating, diverging and accommodating). Performance data were gathered, appraised, and compared through the three dimensions from the Knowledge, Attitude and Practices (KAP) survey model across four categories of Kolb’s learning styles in both text-graph (TG)-based and AR-based learning settings.

The findings indicate that AR-based materials positively impact structural engineering education by enhancing overall learning performance more than TG-based materials. It is also found that the learning style has a profound influence on learning effectiveness, with AR technology markedly improving the information retrieval processes, particularly for converging and assimilating learners, then diverging learners, with a less significant impact on accommodating learners.

These results corroborate prior research analyzing learners' outcomes with hypermedia and informational learning systems. It was found that learners with an “abstract” approach (convergers and assimilators) outperform those with a “concrete” approach (divergers and accommodators). This research emphasizes the importance of considering learning styles before integrating technologies into civil engineering education, thereby assisting software developers and educational institutions in creating more effective teaching materials tailored to specific learning styles.

The purpose of this paper is to investigate the relations between the directors' and officers' (D&O) insurance and digital transformation of Chinese-listed companies to provide insights into triggers of digital transformation from the perspective of D&Os' incentive plan.

Based on a panel dataset of 2,590 listed manufacturing companies in China from 2017 to 2020, and using a textual analysis of annual reports, this paper empirically examines the impact of D&O insurance on digital transformation. The authors investigate the mechanism through a mediating model and apply a series of robustness tests including firm fixed effect model, propensity score matching and changing key measures.

The research shows that the digital transformation has been negatively influenced by D&O insurance. The long coverage duration of D&O insurance significantly lowers the level of digital transformation. The moral hazard problem caused by D&O insurance has hampered digital transformation through reducing explorative innovation, while there has been no significant change in innovation quantity. Under the coverage of D&O insurance, firms with worse internal governance and state-owned firms are more reluctant to invest in risky transformation than their counterparts.

Based on a textual analysis of annual reports, this paper empirically tests the influential mechanism of D&O insurance coverage on digital transformation. The authors provide insights into non-tech triggers of digital transformation and uncover how incentive plans influences D&Os' behaviors. This paper provides a new angle to the debate on governance-strengthening and governance-weakening role of D&O insurance.

Previous studies primarily focus on how to achieve better performance in the international markets, but few centers on whether internationalization is a promising strategy for new ventures’ growth and development. Based on two pioneering frameworks Conservative, Predictable, and Pacemaker (CPP) model and the 7-P model, this paper fills this gap by analyzing how exporting exert heterogeneous effects on two types of growth, sales growth and employment growth. Accordingly, this paper aims to favor market-oriented new ventures to make a strategy on expanding international markets.

This study is based on firm-level data from the Chinese Industrial Enterprises Database. The year 2005 was used as the shock year. By conducting the propensity score matching method, 793 couples of matched new ventures were collected with sales growth and 686 couples with employment growth. The difference-in-differences method was applied to analyze the various influences that exporting has on new ventures’ sales growth and employment growth.

The main finding of this paper is that new ventures that exported can achieve better sales growth than their counterparts that only operated domestically, whereas new ventures that remain in the domestic market have no difference in employment growth from those that exported.

This study shows that exporting is especially beneficial for market-seeking new ventures. Because the study is based on Chinese data, scholars of international business can conduct further research on other countries with different economic structures.

Theoretically, this paper contributes to both international business theory and entrepreneurship theory by combining the CPP model and the 7-P model. Practically, this paper shows that exports mainly benefit the sales growth of new ventures. This suggests that business practitioners should consider their growth goals before they choose to enter the global market.

Current segmentation systems almost invariably focus on linear segmentation and can only divide text into linear sequences of segments. This suits cohesive text such as news feed but not coherent texts such as documents of a digital library which have hierarchical structures. To overcome the focus on linear segmentation in document segmentation and to realize the purpose of hierarchical segmentation for a digital library’s structured resources, this paper aimed to propose a new multi-granularity hierarchical topic-based segmentation system (MHTSS) to decide section breaks.

MHTSS adopts up-down segmentation strategy to divide a structured, digital library document into a document segmentation tree. Specifically, it works in a three-stage process, such as document parsing, coarse segmentation based on document access structures and fine-grained segmentation based on lexical cohesion.

This paper analyzed limitations of document segmentation methods for the structured, digital library resources. Authors found that the combination of document access structures and lexical cohesion techniques should complement each other and allow for a better segmentation of structured, digital library resources. Based on this finding, this paper proposed the MHTSS for the structured, digital library resources. To evaluate it, MHTSS was compared to the TT and C99 algorithms on real-world digital library corpora. Through comparison, it was found that the MHTSS achieves top overall performance.

With MHTSS, digital library users can get their relevant information directly in segments instead of receiving the whole document. This will improve retrieval performance as well as dramatically reduce information overload.

This paper proposed MHTSS for the structured, digital library resources, which combines the document access structures and lexical cohesion techniques to decide section breaks. With this system, end-users can access a document by sections through a document structure tree.

The purpose of this paper is to examine the role of online review’s tactile cues in consumer’s purchase intention, given the absence of direct experience in online shopping.

Based on four empirical studies, the authors examine the role of online review’s tactile cues in consumer’s purchase intention. A secondary data analysis on Taobao and three experiments were conducted.

First, this research demonstrates that tactile cues in online reviews are sure to have a significant influence on consumers’ purchase intention. Second, the purchase intention of consumers is easily influenced by the reviews of holistic tactile cues of the search product, which affects the final purchase intention through the way of outcome simulation. Consumers’ purchase intention is also easily influenced by concrete tactile cues of experience product, which affects the final purchase intention through the way of process simulation. Temporal distance is the boundary condition.

A seller should manage the order of online review or labels related to corresponding tactile cues, in order to encourage consumers to comment on the relevant tactile features. Besides, in the aspect of website design, a seller can also encourage consumers to image about the process and the result of using so as to promote his sales volume.

The conclusion may give a solution on how to deal with the absence of direct experience in online shopping.

There has been little research about the influences of others' tactile behaviors on consumers' behaviors. The authors focus the other tactile experience in online review. The previous studies on online reviews focus on the its influences of valence, quantity and sentiment polarity on the usefulness of reviews and sales volume. However, few studies are explored on contents of reviews. The authors focus on the content such as tactile cues.