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This paper aims to find a suitable solution to degrade the C.I. Reactive Red 24 (RR24) dyeing wastewater by using sodium persulphate to recycle water and inorganic salts.

The effects of temperature, the concentration of inorganic salts and Na₂CO₃ and the initial pH value on the degradation of RR24 were studied. Furthermore, the relationship between free radicals and RR24 degradation effect was investigated. Microscopic routes and mechanisms of dye degradation were further confirmed by testing the degradation karyoplasmic ratio of the product. The feasibility of the one-bath cyclic dyeing in the recycled dyeing wastewater was confirmed through the properties of dye utilization and color parameters.

The appropriate conditions were 0.3 g/L of sodium persulphate and treatment at 95°C for 30 min, which resulted in a decolorization rate of 98.4% for the dyeing wastewater. Acidic conditions are conducive to rapid degradation of dyes, while ·OH or SO₄⁻· have a destructive effect on dyes under alkaline conditions. In the early stage of degradation, ·OH played a major role in the degradation of dyes. For sustainable cyclic dyeing of RR24, inorganic salts were reused in this dyeing process and dye uptake increased with the times of cycles. After the fixation, some Na₂CO₃ may be converted to other salts, thereby increasing the dye uptake in subsequent cyclic staining. However, it has little impact on the dye exhaustion rate and color parameters of dyed fabrics.

The recommended technology not only reduces the quantity of dyeing wastewater but also enables the recycling of inorganic salts and water, which meets the requirements of sustainable development and clean production.

The purpose of this paper is to investigate the extent to which interdisciplinary (HASS, i.e. non-STEM) factors—in particular, accounting, stakeholder management and accountability—enable, influence and motivate large human exploration ventures, principally in maritime and space fields, utilizing Columbus’s and Chinese explorations of the 1400s as the primary setting.

The study analyzes archival data from narrative and interpretational history, including both academic and non-academic sources, that relate to two global historical events, the Columbus and Ming Chinese exploration eras (c. 1400–1500), as a parallel to the modern “Space Race”. Existing studies on pertinent HASS (Humanities and Social Sciences) and STEM (Science, Technology, Engineering and Mathematics) enablers, influencers and motivators are utilized in the analysis. The authors draw upon the concepts of stakeholder theory and the construct of accountability in their analysis.

Findings suggest that non-STEM considerations—politics, finance, accountability, culture, theology and others—played crucial roles in enabling Western Europe (Columbus) to reach the Americas before China or other global powers, demonstrating the pivotal importance of HASS factors in human advancements and exploration.

In seeking to answer those questions, this study identifies only those factors (HASS or STEM) that may support the success or failure in execution of the exploration and development of a region such as the New World or Space. Moreover, the study has the following limitation. Relative successes, failures, drivers and enablers of exploratory ventures are drawn almost exclusively from the documented historical records of the nations, entities and individuals (China and Europe) who conducted those ventures. A paucity of objective sources in some fields, and the need to set appropriate boundaries for the study, also necessitate such limitation.

It is observable that many of those HASS factors also appear to have been influencers in modern era Space projects. For Apollo and Soyuz, success factors such as the relative economics of USA and USSR, their political ideologies, accountabilities and organizational priorities have clear echoes. What the successful voyages of Columbus and Apollo also have in common is an appetite to take risks for an uncertain return, whether as sponsor or voyager; an understanding of financial management and benefits measurement, and a leadership (Isabella I, John F. Kennedy) possessing a vision, ideology and governmental apparatus to further the venture’s goals.

Whilst various historical studies have examined influences behind the oceangoing explorations of the 1400s and the colonization of the “New World”, this article takes an original approach of analyzing those motivations and other factors collectively, in interdisciplinary terms (HASS and STEM). This approach also has the potential to provide a novel method of examining accountability and performance in modern exploratory ventures, such as crewed space missions.

The purpose of this paper is to explore more agile and effective learning processes that help identify potentially high-performing staff during workplace training.

To test the efficacy of the learning-oriented assessment (LOA) process in workplace training, a pharmaceutical sales organization implemented an online training over three months that was modeled with the LOA process. During work hours, employees within the organization took two tests (one before and after training) as well as participated in training with essential work-related content, where they were given problem sets and scenarios to complete that would vary based on their responses. Their assessment scores, formative learning behaviors and quarterly revenue were recorded to determine the effects of the training.

The outcome of this study supported the theory that the LOA model would facilitate the acquisition and application of knowledge differentially between employees of the organization, and this knowledge would serve to improve the performance of the employees to the extent that it increased revenue.

This study was a field experiment that did not allow for the control of possible confounds. However, the real-world real people outcomes provide novel insights on best practices in workplace training.

The findings of this study showed the short-term effectiveness of the LOA process in professional knowledge acquisition and application in relevant skills that increase organizational revenue.

This study provides an applied understanding on the applicability of the LOA process in workplace learning and training which has not been previously investigated.

This paper aims to introduce an under-researched concept, travel medicine, to the hospitality field and proposes future research directions. This paper also highlights the need to acknowledge the missing link between hospitality and medical science and encourages research on the health of hotel guests, especially those with mental disorders.

By synthesizing relevant literature, this study proposes a conceptual framework focused on identifying and filling knowledge gaps between hospitality and medical science. Pathways for empirical research on hotel guests’ travel health are suggested accordingly.

This paper reveals that the topic of travel medicine has been neglected in hospitality, especially in relation to vulnerable hotel guests. Additionally, this study suggests that researchers should move beyond the confines of social science and conduct interdisciplinary hospitality studies. In-depth analyses of hotel guests’ health and safety are also recommended.

This conceptual piece serves as a “provocation” that is exploratory, thus laying a foundation for future interdisciplinary studies bridging hospitality and medical science. This paper offers practical significance for hospitality stakeholders (i.e. academics, practitioners, hotel guests and society) and also provides guidelines on how to create vulnerability-friendly hospitality environments.

To the best of the authors’ knowledge, this study takes an important step toward interdisciplinary research between hospitality and medical science through the lens of travel medicine. This paper offers insight to bridge these disciplines and extend hospitality research into medical science. This paper further identifies an under-investigated topic and feasible research avenues that can offer timely solutions for hospitality academics and practitioners.

The purpose is to provide decision support for tourists recommending scenic spots and corresponding suggestions for the management of scenic spots.

Based on the Baidu index data generated, this paper analyzes the temporal and spatial characteristics of network attention of 5A scenic spots in Sichuan Province. The online comment data are used to build the assessment model of scenic spots based on network attention, and the comment information of tourists is mined and analyzed through statistical analysis. At the same time, the key attributes of scenic spots from the perspective of network attention are evaluated and analyzed by using the probabilistic linguistic term set. Finally, this paper further constructs a recommendation model based on the key attribute set of scenic spots.

This paper uses different types of tourism network information, integrates multi-types of data and methods, fully excavates the value information of tourism network information, constructs the research framework of “scenic spot assessment + scenic spot recommendation” from the perspective of network attention, analyzes the network attention characteristics of scenic spots, evaluates the performance of scenic spots, and implements scenic spot recommendation.

This paper integrates multi-source data and multidisciplinary theoretical methods to form a scenic spot research framework of “assessment + recommendation” from the perspective of network attention.

The purpose of this study is to compare self-reported antisocial (SRA) behaviour of 10-year-old boys in China (in Zhuhai) and the USA (in Pittsburgh).

In Pittsburgh, 868 boys were given a SRA behaviour questionnaire in 1987–1988. In Zhuhai, 1,154 boys were given the same questionnaire in 2017.

The prevalence of 23 acts in the two countries was significantly correlated (r = 0.69), showing that the acts that were admitted by most boys in one country also tended to be admitted by most boys in the other country. Also, the mean prevalence in the two countries was very similar, at about 13%. However, several acts (e.g. stealing) were more prevalent in Zhuhai, while violent acts were more prevalent in Pittsburgh. The frequencies of the acts in the two countries were also significantly correlated (r = 0.51), although frequency was usually greater in Pittsburgh.

While most theories and research in criminology and psychology are based on Western industrialised countries, it is important to carry out more cross-cultural comparisons of antisocial behaviour in other countries. These results show encouraging generalizability and replicability, despite differences in time and place.

To the best of the authors’ knowledge, this study presents the first comparison of age-matched Chinese and American children on the prevalence and frequency of specific antisocial acts.

This study aims to investigate the current state of research using deep learning methods for text classification in the tourism and hospitality field and to propose specific guidelines for future research.

This study undertakes a qualitative and critical review of studies that use deep learning methods for text classification in research fields of tourism and hospitality and computer science. The data was collected from the Web of Science database and included studies published until February 2022.

Findings show that current research has mainly focused on text feature classification, text rating classification and text sentiment classification. Most of the deep learning methods used are relatively old, proposed in the 20th century, including feed-forward neural networks and artificial neural networks, among others. Deep learning algorithms proposed in recent years in the field of computer science with better classification performance have not been introduced to tourism and hospitality for large-scale dissemination and use. In addition, most of the data the studies used were from publicly available rating data sets; only two studies manually annotated data collected from online tourism websites.

The applications of deep learning algorithms and data in the tourism and hospitality field are discussed, laying the foundation for future text mining research. The findings also hold implications for managers regarding the use of deep learning in tourism and hospitality. Researchers and practitioners can use methodological frameworks and recommendations proposed in this study to perform more effective classifications such as for quality assessment or service feature extraction purposes.

The paper provides an integrative review of research in text classification using deep learning methods in the tourism and hospitality field, points out newer deep learning methods that are suitable for classification and identifies how to develop different annotated data sets applicable to the field. Furthermore, foundations and directions for future text classification research are set.

One of the most marginalized communities in India is the Lesbian, Gay, Bisexual and Transgender (LGBT) community which commonly experiences discrimination. Many studies have countered that the LGBT community faces high discrimination in the banking and financing industry. As a result, this study concentrates on this marginalized community and its acceptance and continuation habit regarding mobile wallets. Consequently, this study has considered continuance intentions as a response to confirm the progress of the mobile-wallet industry. Also, this study tried to study the relationship between behavioral intention (BI) and continuous intention (CI) which is seriously lacks in the library of literature. The research operationalized the stimulus–organism–response (SOR) framework for the conceptual model and surveyed 100 self-proclaimed members of the LGBT community in India. The analysis has been done using the partial least structure (PLS). The findings demonstrate that variables like perceived trust (PT) directly influence the BI. On the other hand, variables like perceived ease of use (PEoU), social influence (SI), and satisfaction (S) doesn’t influence BI of the LGBT Community. The main outcome was a favorable association between BI and CI. It will help the stakeholders to understand how important this new market avenue is and how it can be explored. To ensure safe and secure transactions, a group think tank composed of important parties (financial institutions, mobile-wallet providers, the government, security specialists, etc.) should make recommendations. Mobile-wallet providers will attain benefit from this study’s understanding of user categories and ability to tailor their service offers as per the community.

This study aims to provide a series of drivers that prompt the blockchain technology (BT) adoption decisions in circular supply chain finance (SCF) and also assesses their degrees of influence and interrelationships, which leads to the construction of a theoretical model depicting the influence mechanism of BT adoption decisions in circular SCF.

This study mainly uses the technology-organization-environment (TOE) framework, which focuses on the aspects based on the nature of innovation, intra-organizational characteristics and extra environmental consideration, to identify the drivers of blockchain adoption in circular SCF context, while the significance and causality of the drivers are explained using interpreting structural models (ISMs) and the decision-making trial and evaluation laboratory (DEMATEL) method.

The findings of this study indicate that government policy and technological comparative advantage are the underlying reasons for BT adoption decisions, management commitment and financial expectations are the critical drivers of BT adoption decisions while other factors are the receivers of the mechanism.

This study provides theoretical references and empirical insights that influence the technology adoption decisions of both BT and circular SCF by practitioners.

The theoretical research contributes significantly to current research and knowledge in both BT and circular SCF fields, especially by extending the existing TOE model by combining relevant enablers from technological, organizational and external environmental aspects with the financial performance objectives of circular SCF services, which refer to the optimization of the financial resources flows and financing efficiency.

The purpose of this paper is to examine the impact of inter-group conflicts on the trust toward the acquirer and then further on cooperation intention after acquisitions in cross-border mergers and acquisitions (M&As), in the lens of the social classification theory. Two types of conflicts (realistic conflicts and symbolic conflicts) and a mediating mechanism (trust toward the acquirer) exhibit different effects on cooperation intention. The research further examines two moderating coping strategies (localizing management and assigning trustworthy expatriate managers) and tests their effectiveness in promoting trust toward the acquirer and increasing cooperation intention in cross-border M&As.

The research hypotheses were empirically tested in the context of post-acquisition of Chinese companies' cross-border M&As. In total, 600 questionnaires were provided to the research participants of 37 acquired firms/units from advanced economies of 12 Chinese companies, and 209 valid questionnaires were collected (the response rate is 34.83%). Confirmatory factor analysis was conducted to verify data validity and hierarchical multiple regression analyses were employed to test relational and moderating effects.

This research demonstrates that both realistic and symbolic conflicts can reduce the intention to cooperate, but the latter does not have a significant influence. The results also uncover that whether employees from acquired firms trust in their acquirers mediates the relationship between realistic conflicts and cooperation intention. Moreover, management localization (a measurement of whether local/original managers are retained with a high degree of freedom and autonomy after M&As) and trustworthiness of expatriate managers (a measurement of whether the assigned expatriate managers is trustworthy) positively moderate the relation between realistic conflicts and trust toward the acquirer. In addition, trust toward the acquirer mediates the interaction of realistic conflicts and management localization on the cooperation intention of the acquirers' employees.

This study examines how inter-organizational conflicts influence trust toward the acquirer and then cooperation intentions in the context of Chinese companies' M&A behavior of targets from developed countries and gain supportive evidence, which enriches the literature on the management of international M&As. By introducing two management localization and trustworthiness of expatriate managers into the model, the research deepens our knowledge of how to build trust toward the acquirer in cross-border M&As.