Search results

This study aims to evaluate the behavioral predictors that affect tourists’ intentions to visit silver screen destinations.

The survey questionnaire was composed of multi-item measures, and a total of 432 questionnaires were collected by purposive sampling technique. Participants were asked about sensory stimuli, social stimuli, naturalistic stimuli, cultural stimuli, hospitality culture stimuli, cognitive responses, affective responses and behavior approach, which were evaluated using a seven-point Likert scale.

The authors discovered that cognitive and affective responses positively influence the tourists’ intention toward destinations with film-induced tourism, because tourists highly value unique and refreshing symbolic connotations of silver screen destinations, which are commonly predisposed to nostalgia and poetic on the scene.

The originality of this study and the theoretical value of the present research lies with revealing specific relations within the film-induced experienscape constructs that are based on the multistakeholder and multidisciplinary approach. Moreover, this study puts forward constructive suggestions for destination stakeholders in regard to how to market film-induced tourism that uses a multidisciplinary approach that is encompassed by experienscape constructs, which thereby reinforces the film-induced tourists’ experience and their behavior approach.

Organic coatings are widely used for protecting metal equipment and structures from corrosion. Accurate detection and evaluation of the protective performance and service life of coatings are of great importance. This paper aims to review the research progress on performance evaluation and lifetime prediction of organic coatings.

First, the failure forms and aging testing methods of organic coatings are briefly introduced. Then, the technical status and the progress in the detection and evaluation of coating protective performance and the prediction of service life are mainly reviewed.

There are some key challenges and difficulties in this field, which are described in the end.

The progress is summarized from a variety of technical perspectives. Performance evaluation and lifetime prediction include both single-parameter and multi-parameter methods.

In the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an important issue for the further development of higher education, thus leading to extensive and in-depth research by many scholars. The study summarizes the characteristics and patterns of dual-innovation education at different stages of development, hoping to provide a systematic model for the development of dual-innovation education in China and make up for the shortcomings.

This paper uses Citespace software to visualize and analyze the relevant literature in CNKI and Web of Science databases from a bibliometric perspective, focusing on quantitative analysis in terms of article trends, topic clustering, keyword co-linear networks and topic time evolution, etc., to summarize and sort out the development of innovation and entrepreneurship education research at home and abroad.

The study found that the external characteristics of the literature published in the field of bi-innovation education in China and abroad are slightly different, mainly in that foreign publishers are more closely connected and have formed a more stable ecosystem. In terms of research hotspots, China is still in a critical period of reforming its curriculum and teaching model, and research on the integration of specialization and creative education is in full swing, while foreign countries focus more on the cultivation of students' entrepreneurial awareness and the enhancement of individual effectiveness. In terms of cutting-edge analysis, the main research directions in China are “creative education”, “new engineering”, “integration of industry and education” and “rural revitalization”.

Innovation and entrepreneurship education in China is still in its infancy, and most of the studies lack an overall overview and comparison of foreign studies. Based on the econometric analysis of domestic and foreign literature, this paper proposes a path for domestic innovation and entrepreneurship education reform that can make China's future education reform more effective.

The purpose of this study is to design a highly integrated smart glove to enable gesture acquisition and force sensory interactions, and to enhance the realism and immersion of virtual reality interaction experiences.

The smart glove is highly integrated with gesture sensing, force-haptic acquisition and virtual force feedback modules. Gesture sensing realizes the interactive display of hand posture. The force-haptic acquisition and virtual force feedback provide immersive force feedback to enhance the sense of presence and immersion of the virtual reality interaction.

The experimental results show that the average error of the finger bending sensor is only 0.176°, the error of the arm sensor is close to 0 and the maximum error of the force sensing is 2.08 g, which is able to accurately sense the hand posture and force-touch information. In the virtual reality interaction experiments, the force feedback has obvious level distinction, which can enhance the sense of presence and immersion during the interaction.

This paper innovatively proposes a highly integrated smart glove that cleverly integrates gesture acquisition, force-haptic acquisition and virtual force feedback. The glove enhances the sense of presence and immersion of virtual reality interaction through precise force feedback, which has great potential for application in virtual environment interaction in various fields.

There have been claims of inadequate maintenance practice in Tanzania’s higher learning institutions (HLIs), primarily due to the traditional conventional approach where maintenance is only addressed during the usage stage. This study aimed to investigate whether universities and colleges are adopting a holistic approach to maintenance, where it is considered from the inception stage.

Structured questionnaires and semi-structured interviews were employed to gather quantitative and qualitative data, respectively. Through purposive sampling, 11 estate managers were selected, with eight of them responding to questionnaires. A comprehensive literature review was also conducted. Quantitative data were analyzed using the Statistical Package for Social Sciences (IBM SPSSTM) Version 20.0, while qualitative data were examined using Nvivo 12 Plus and in-depth analysis.

The study revealed that, maintenance in HLIs is only marginally considered in a holistic manner. In cases where it is “considered,” this is often by default rather than by design. This has led to maintenance challenges, such as the accelerated deterioration of components, the incompatibility of new maintenance materials with the old ones and difficulties in adapting spaces to meet emerging user requirements. The most frequently occurring words in the word cloud, “considered” and “maintenance”, underscore the necessity of adopting a holistic approach to maintenance management.

The study was confined to HLIs in the Dar es Salaam region.

The findings from this study offer valuable insights for maintenance experts implementing holistic approaches in Tanzanian universities and colleges. Top management should focus on proper planning (including maintenance plans and budgets) and decision-making regarding maintenance management. Additionally, the Government of Tanzania may consider implementing policies requiring designing teams to adopt a holistic approach to maintenance before approving building permits.

To the best of the authors’ knowledge, this is the first study to examine whether universities and colleges consider maintenance from a holistic perspective.

This study aims to examine the impact of disclosure on the unsolved initial public offering (IPO) puzzle. For this purpose, the authors analyzed the impact of the primary uses of the proceeds disclosed in a firm's IPO prospectus on underpricing, prelisting performance, postlisting underperformance and operating performance.

This study uses Indian public firms that went public between March 31, 2010, and March 31, 2020. A multivariate regression technique was used to study the impact of the primary uses of proceeds on underpricing, prelisting performance and postlisting underperformance, whereas a quantile regression technique was used to study their impact on operating performance.

The authors found that the primary use of proceeds disclosure helps predict underpricing and returns to the investor only until day 60 postlisting; beyond that, they provide no further insights into the firm's performance. Firms with lower and average operating performance should not state the general corporate purposes and payment on borrowings, respectively, as their primary use of proceeds, as it leads to a decline in their operating performance.

Results might suffer from the potential endogeneity problem due to selection bias. This research focuses on India only, which makes generalization of results for other economies difficult. Future research may extend the post-IPO period and include more developing economies. Furthermore, future studies can draw comparisons between developed and developing nations' disclosures of using proceeds.

This study will help the firms going public in India better disclose the use of proceeds based on their characteristics. Stating future acquisitions, payments on borrowings and working capital reduces the uncertainty, and therefore, these are feasible avenues for investing proceeds raised through IPO.

The authors used ten categories for the primary use of proceeds disclosure, whereas previous studies have used only five to six categories. To the best of the authors’ knowledge, this study was the first to use underpricing, postlisting performance and operating performance in a single study. These measures gave a more holistic view of the use of proceeds disclosure.

This study classifies and estimates safety costs in Arctic shipping.

Based on the literature review, the paper details shipping prevention costs into five categories (infrastructure and facilities, measures, technologies, personnel and management) and groups marine accidents into injury and death, property damage, environmental damage and others.

The proposed classification and estimation allow for a comparison of prevention costs and accident expenses. Estimating safety expenses in the Arctic presents challenges, such as data inadequacies. However, the method has been tested with data provided by an Arctic ship operator.

Thus, shipping companies can verify the effectiveness of their investments and reorientate whenever necessary, becoming a decision-support system to best allocate safety investments. Combined with company safety performance, the tool can help identify the safety areas requiring enhanced attention.

This paper presents the first classification and a tool to assess safety costs in relation to Arctic shipping, potentially supporting safety investment decisions.

In the 21st century, libraries are experiencing a significant decline in users due to shifting reading habits and the impact of technology, necessitating library transformation and a heightened emphasis on library marketing. Special libraries, in particular, rely heavily on patrons for survival, often due to their private ownership and limited resources. This paper aims to discuss the aforementioned objectives.

This paper examines the Taste Library, a special library in Hong Kong, and analyzes its current practices based on an interview with its founder, website content, and social media presence. The 7Ps Marketing Mix model is employed to assess the strengths and weaknesses of the library's current market position.

The Taste Library's existing practices exhibit limitations in attracting young patrons. To address this issue, we propose marketing strategies focused on enhancing social network presence, offering digitized content, and engaging in school outreach.

By concentrating on youth marketing, this study offers valuable insights for special libraries in developing strategic plans for transitioning and maintaining sustainability.

Few studies concentrate on marketing small special libraries, particularly in the East, within today's digitized economy.

To ensure the stable operation of ironmaking process and the quality and output of sinter, the multi-objective optimization of sintering machine batching process was carried out.

The purpose of this study is to establish a multi-objective optimization model with iron taste content and batch cost as targets, constrained by field process requirements and sinter quality standards, and to propose an improved balance optimizer algorithm (LILCEO) based on a lens imaging anti-learning mechanism and a population redundancy error correction mechanism. In this method, the lens imaging inverse learning strategy is introduced to initialize the population, improve the population diversity in the early iteration period, avoid falling into local optimal in the late iteration period and improve the population redundancy error correction mechanism to accelerate the convergence rate in the early iteration period.

By selecting nine standard test functions of BT series for simulation experiments, and comparing with NSGA-?, MOEAD, EO, LMOCSO, NMPSO and other mainstream optimization algorithms, the experimental results verify the superior performance of the improved algorithm. The results show that the algorithm can effectively reduce the cost of sintering ingredients while ensuring the iron taste of sinter, which is of great significance for the comprehensive utilization and quality assurance of sinter iron ore resources.

An optimization model with dual objectives of TFe content and raw material cost was developed taking into account the chemical composition and quality indicators required by the blast furnace as well as factors such as raw material inventory and cost constraints. This model was used to adjust and optimize the sintering raw material ratio. Addressing the limitations of existing optimization algorithms for sintering raw materials including low convergence accuracy slow speed limited initial solution production and difficulty in practical application we proposed the LILCEO algorithm. Comparative tests with NSGA-III MOEAD EO LMOCSO and NMPSO algorithms demonstrated the superiority of the proposed algorithm. Practical applications showed that the proposed method effectively overcomes many limitations of the current manual raw material ratio model providing scientific and stable decision-making guidance for sintering production operations.

This study aims to provide a comprehensive review of the existing literature on uncertainty in underground mining operations, using a bibliometric and systematic analysis covering the period from 1975 to 2024.

To achieve this, the following questions were addressed using a mixed-method approach involving bibliometrics, text mining and content analysis: How has the field of uncertainty research in underground mining operations evolved? What are the most prominent research topics and trends in uncertainty in underground mining operations? and What are the possible directions for future research on uncertainty in underground mining operations?

As a result, bibliometric networks of 327 journal articles from the Scopus database were created and examined, the main research topics were underground mining management; rock mechanics; operational optimization; and stochastic systems. Finally, the inclusive investigation of uncertainty in underground mining operations and its prominent patterns can serve as a basis for real-time direction for new research and as a tool to improve underground mining activities by implementing advanced technology for innovative practices and optimizing operational efficiency. This is fundamental to identify unknown variables that impair the planning, operation, safety and economic viability of underground mines.

This research is 100% original because there is no review research on the uncertainty present in underground mining operations.