DSpace collection: 期刊論文

The Research of Improvement of Surface Treatment Process Yield by Using Six Sigma Management

Mon, 29 Jun 2026 04:05:21 GMT

title: The Research of Improvement of Surface Treatment Process Yield by Using Six Sigma Management abstract: 本研究主旨在透過應用六標準差管理中的DMAIC步驟，有系統性的提升表面處理製程良率。首先定義個案研究指標，確認衡量個案指標數據，確定瞭解目前的製程運作現況，在分析階段相關聯性問題分析，識別歸納影響製程良率的主要原因，以及使用製程失效模式及效應分析進一步深入探討瞭解問題潛在的根源，並確定潛在的改善機會。進入改善階段，擬定表面處理改善方案並且執行改善措施，提升表面處理製程良率為目標。最後控制階段，最佳化製程控制，並且持續監控品質確保改善控制持續有效執行。本研究結果顯示，透過六標準差管理DMAIC之應用，表面處理製程良率有顯著的提升，達到既有設定的目標。此研究為其他有意執行類似製程改善者提供一個有系統且有效的研究框架。

Do Data Factors Empower the Realization of Ecological Product Value? Evidence from China

Mon, 29 Jun 2026 04:05:18 GMT

title: Do Data Factors Empower the Realization of Ecological Product Value? Evidence from China abstract: With the deepening construction of ecological civilization, the realization of ecological product value, referring to the value derived from ecosystems’ material goods, regulation, support, and cultural services, has become a strategic key point for national sustainable development. Data factors, distinguished from digital technologies as the actual resources used in production, exchange, and consumption, are becoming increasingly important as a new catalyst for empowering the realization of ecological product value. Drawing on panel data spanning 2011 to 2023 across China’s 31 provinces, this research employs the entropy weight method to construct evaluation indices for both the development of data factors and the realization of ecological product value, deriving weights from the data’s intrinsic variability. The effect of data factors on the realization of ecological product value is examined using a two-way fixed effects framework. Our outcomes are presented below. First, data factors can significantly promote the realization of ecological product value, and this conclusion is supported by a series of robustness checks and endogeneity treatments. Second, the mechanism analysis reveals that data factors empower the realization of ecological product value through new quality productive forces, energy consumption intensity, and innovation and entrepreneurship. Third, results from the threshold model suggest that the promoting effect of data factors on the realization of ecological product value is subject to a threshold constraint, characterized by diminishing marginal returns beyond this point. Fourth, regarding regional disparities, the results indicate that data factors primarily drive ecological product value realization in the central region, as it is at a critical stage of digital transformation, with a secondary effect in the east, while their influence in the western region remains insignificant. These findings provide important guidance for integrating data factors and ecological resources to achieve sustainable development.

Tourist safety management: The role of risk reminders in highly aggregated environments

Thu, 05 Mar 2026 04:10:39 GMT

title: Tourist safety management: The role of risk reminders in highly aggregated environments

Self-esteem or blame? How do customers' protective face orientation and attribution of responsibility affect food waste reduction?

Thu, 05 Mar 2026 04:10:35 GMT

title: Self-esteem or blame? How do customers' protective face orientation and attribution of responsibility affect food waste reduction? abstract: This study examines the psychological and social mechanisms behind food waste reduction by integrating norm activation theory and social identity theory. It investigates how protective face orientation and responsibility attribution shape reduction behaviors, revealing the mediating roles of group and personal norms, as well as the moderating effect of normative misperception. Using structural equation modeling and fuzzy-set qualitative comparative analysis, the study identifies both variable-based effects and effective behavioral configurations. Key insights highlight how face consciousness encourages sustainable action and how specific combinations of antecedents drive reduction behaviors. The findings offer practical guidance for designing culturally tailored educational initiatives and aligning business incentives with social identity cues to promote sustainable consumption.

From Digital Anxiety to Empowerment in Older Adults: Cross-Sectional Survey Study on Psychosocial Drivers of Digital Literacy

Thu, 05 Mar 2026 04:10:26 GMT

title: From Digital Anxiety to Empowerment in Older Adults: Cross-Sectional Survey Study on Psychosocial Drivers of Digital Literacy abstract: Background: Amid the convergence of global population aging and accelerating digital transformation, older adults’ digital adaptability has emerged as a critical indicator of their quality of life, autonomy, and capacity for successful aging. However, digital disparities, technology-related anxiety, and insufficient support systems continue to hinder older individuals from fully participating in digital society. Particularly in modern family structures—where children often live apart from aging parents—the diminishing role of family support further underscores the importance of broader social influences. Objective: This study aims to examine how environmental factors (family support and social influence) and psychological factors (digital anxiety and sense of achievement) are associated with older adults’ intention to use Assistive Digital Tools and Services (ADTS), and how these relationships contribute to the development of digital literacy. Drawing upon an integrative framework that combines constructs from the Technology Acceptance Model, the Unified Theory of Acceptance and Use of Technology, and social cognitive theory, the study also investigates the mediating and moderating mechanisms underlying these effects, offering strategic insights to support older adults in moving from social isolation to digital empowerment. Methods: A structured questionnaire survey was conducted using a convenience sampling method among adults aged 55 years and older in Shenyang, Liaoning Province, China, yielding 480 valid responses. Structural equation modeling, bootstrapping, and moderation analysis were used to test the proposed integrative framework. Results: For both family support and social influence, their associations with digital literacy were fully mediated by ADTS. Higher family support was associated with lower digital anxiety, which in turn correlated with greater intention, while stronger social influence was directly associated with higher intention. Digital anxiety showed a strong negative association with intention; however, this relationship was significantly weaker among those reporting a higher sense of achievement. These findings highlight usage intention as a central pathway through which environmental and psychological conditions are related to digital competence. Conclusions: Digital literacy in later life is more than a technical skill set—it represents a vital form of psychological and social capital that empowers autonomy, well-being, and social integration. Strengthening older adults’ intention to engage with digital tools through emotional reinforcement, achievement-oriented experiences, and supportive social environments is key to narrowing the digital divide. Beyond its personal benefits, fostering digital competence contributes to successful aging, which in turn brings profound advantages for families, strengthens community cohesion, and supports national goals in public health, economic participation, and social sustainability. Intergenerational learning initiatives, community-based engagement programs, and leveraging social influence to offset weakened family support can create a more inclusive, resilient, and age-friendly digital ecosystem—one that benefits not only older individuals but society at large.

A Study on Environmental Education through the Lens of Technology Education

Tue, 03 Mar 2026 04:07:51 GMT

title: A Study on Environmental Education through the Lens of Technology Education abstract: Environmental Education (EE) are very important in the modern world, and people are paying more attention to it. It is not easy to make the people understand the importance of healthy food, and farmers’ hardships. The study aims to explain the importance of EE to university and elementary students. We use AI robots as the learning partner to design the teaching material that follows the core value of EE. In this study, we observed and recorded the learning situation and questionnaire to understand the practices of the two studies: “Become the EE seed teacher” and “Become the EE seed”. The discovery of study 1 is successful training university students become the seed teacher. The discovery of study 2 is significant higher learning effect in the treatment group’s than the control group. The research results will provide implementation for the design of EE and technology application courses for innovation.

Application of the Information Adoption Model and Technology Acceptance Model in Electronic Word-of-Mouth

Tue, 03 Mar 2026 04:07:47 GMT

title: Application of the Information Adoption Model and Technology Acceptance Model in Electronic Word-of-Mouth abstract: Electronic word-of-mouth (eWOM) plays a critical role in shaping consumer purchase intentions and behavior in the realm of electronic commerce. This study analyzes data from 38 research papers using structural equation modeling (SEM) and partial least squares SEM (PLS-SEM). The results reveal that the perceived usefulness and credibility of eWOM significantly impact behavioral intentions. Furthermore, the study underscores the varying effects of different e-commerce platforms and social networking sites on adoption intention. A meta-analysis was also conducted to synthesize these findings, highlighting eleven key variables—Quality, Credibility, Perceived Usefulness, Perceived Ease of Use, Trust, Reputation, eWOM, Attitude, Intention, Satisfaction, and Adoption—and correlations among 916 data points that are crucial for practitioners. These variables encompass eWOM volume, eWOM valence, source credibility, information quality, user expertise, product type, platform type, user engagement, trust, perceived risk, and social influence. By understanding and strategically leveraging these factors, businesses can more effectively enhance consumer purchase intentions and behaviors through eWOM.

VR Event Marketing and Technology Readiness in Asia:Bridging Virtual and Real Experiences in Event Tourism

Tue, 03 Mar 2026 04:07:42 GMT

title: VR Event Marketing and Technology Readiness in Asia:Bridging Virtual and Real Experiences in Event Tourism abstract: This study explores the role of technology readiness in Virtual Reality (VR) exhibitions and its impact on audience engagement, satisfaction, and brand loyalty, with a focus on the growing event tourism landscape in Asia. While past research has examined visitor experience and purchase intention, limited attention has been paid to the interplay among authenticity, experiential value, satisfaction, and loyalty— key elements in successful VR event marketing. Using a two-phase design, the study first conducts expert interviews with curators, venue managers, and policymakers to develop valid measurement scales. In the second phase, a survey of VR exhibition attendees tests the proposed framework through exploratory and confirmatory factor analysis. By linking authenticity, experiential value, and technology readiness, the study offers actionable insights for enhancing VR event marketing strategies. The findings aim to support Asia’s cultural and creative industries in leveraging VR to deepen audience experience, increase satisfaction, and build brand loyalty.

Integrating augmented reality into event tourism education: Enhancing experiential value and authenticity

Tue, 03 Mar 2026 04:07:36 GMT

title: Integrating augmented reality into event tourism education: Enhancing experiential value and authenticity abstract: Cultural expositions have evolved from static displays to dynamic experiential platforms that integrate immersive technologies, fostering innovation in event organizing and management. In the field of event organizing education, these expositions provide an ideal setting for exploring immersive teaching methods and experiential learning strategies. This study examines the role of AR as a pedagogical tool in event organizing training, focusing on its impact on learners' experiential value, perceived authenticity, satisfaction and skill development. To address gaps in existing research, this study conducted an 18-week quasi-experimental investigation involving 120 undergraduate and postgraduate learners enrolled in event organizing programs in Taiwan. The learners, representing diverse cultural backgrounds, were divided into two groups: an experimental group, which engaged in AR-based event simulations, and a control group, which received traditional lecture-based instruction. Results demonstrated that AR-enhanced training significantly improved learners’ engagement, practical competencies, and ability to design immersive audience experiences. These findings highlight the potential of AR to transform event organizing education by bridging theory with practice, fostering deeper learner engagement, and preparing future event professionals with the skills necessary for real-world applications. This study offers practical implications for event educators, organizers, and industry stakeholders, advocating for the integration of AR-driven experiential learning into event organizing curricula to align with evolving industry demands.

Interval-Valued Multi-Step-Ahead Forecasting of Green Electricity Supply Using Augmented Features and Deep-Learning Algorithms

Tue, 03 Mar 2026 04:07:32 GMT

title: Interval-Valued Multi-Step-Ahead Forecasting of Green Electricity Supply Using Augmented Features and Deep-Learning Algorithms abstract: Accurately forecasting the interval-valued green electricity (GE) supply is challenging due to the unpredictable and instantaneous nature of its source; yet, reliable multi-step-ahead forecasting is essential for providing the lead time required in operations, resource allocation, and system management. This study proposes an augmented-feature multi-step interval-valued forecasting (AFMIF) scheme that aims to address the challenges in forecasting interval-valued GE supply data by extracting additional features hidden within an interval. Unlike conventional methods that rely solely on original interval bounds, AFMIF integrates augmented features that capture statistical and dynamic properties to reveal hidden patterns. These features include basic interval boundaries and statistical distributions from an interval. Three effective forecasting methods, based on gated recurrent units (GRUs), long short-term memory (LSTM), and a temporal convolutional network (TCN), are constructed under the proposed AFMIF scheme, while the mean ratio of exclusive-or (MRXOR) is used to evaluate the forecasting performance. Two different real datasets of wind-based GE supply data from Belgium and Germany are used as illustrative examples. Empirical results demonstrate that the proposed AFMIF scheme with GRUs can generate promising results, achieving a mean MRXOR of 0.7906 from the Belgium data and 0.9719 from the Germany data for one-step- to three-steps-ahead forecasting. Moreover, the TCN yields an average improvement of 13% across all time steps with the proposed scheme. The results highlight the potential of the AFMIF scheme as an effective alternative approach for accurate multi-step-ahead interval-valued GE supply forecasting that offers practical benefits supporting GE management.

A theory-based study on the vaccination behaviors of breast cancer patients during the COVID-19 pandemic in Taiwan

Tue, 03 Mar 2026 04:07:19 GMT

title: A theory-based study on the vaccination behaviors of breast cancer patients during the COVID-19 pandemic in Taiwan abstract: The study aimed to expand the behavioral analysis of the Theory of Planned Behavior (TPB) to examine COVID-19 vaccine willingness among breast cancer patients. While both the WHO and the U.S. CDC have utilized adapted versions of the Increasing Vaccine Model to study vaccination trends across various populations and industries, limited research has explored vaccine acceptance in specific groups such as breast cancer patients. From May to July 2022, an online cross-sectional study was conducted in Taiwan, coinciding with the initial COVID-19 vaccination rollout. A total of 278 participants were included in the statistical analysis. Structural Equation Modeling (SEM) was employed to assess the conceptual validity of the measurements and test the proposed model. The analysis revealed that the model explained 36.8% of the variance in patients’ willingness to receive the COVID-19 vaccine and 40.3% of the variance in predicting future vaccination behaviors based on regret following vaccination. Fear of COVID-19 was found to indirectly influence vaccination willingness through shared decision-making, highlighting the importance of discussions between patients and their physicians. Patients who had more opportunities to consult with their doctors were more inclined to get vaccinated. Moreover, fear of COVID-19 enhanced the trust breast cancer patients placed in their physicians. However, decision conflicts and shared decision-making impacted vaccine willingness independently and directly, rather than through the mediating effect of trust in physicians. Furthermore, the study confirmed that patients who hesitated to get vaccinated were more likely to experience regret. These findings provide valuable insights into the behavioral aspects of vaccination among cancer patients, offering strategies to mitigate fear and improve preventive health measures.

Novel multiple Z-score models for detection of coronary artery dilation: application in Kawasaki disease

Tue, 03 Mar 2026 04:07:15 GMT

title: Novel multiple Z-score models for detection of coronary artery dilation: application in Kawasaki disease abstract: Background: This study aims to develop Z-Score models to normalize measurements of three coronary arteries and enhance the diagnosis of Kawasaki disease (KD) in children from newborns to 10 years old. Developing a reliable Z-Score model is challenging, as some existing models fail the normality test. Overcoming these challenges is crucial for improving KD diagnosis. Method: Detailed measurements of the left main coronary artery (LCA), left anterior descending coronary artery (LAD), and right coronary artery (RCA) were collected, along with patient demographics such as age, height, weight, and body surface area (BSA). Several Z-Score models, named the Kuo Z-Score models, were proposed, with separate designs for different coronary arteries and different age groups, resulting in multiple Z-Score models. The Z-Score model for the RCA employs the Box-Cox method for data transformation. Finally, we tested various age group combinations, selecting models that passed the Anderson-Darling normality test and had higher R-square values for robustness and best data fit. Results: The study included 1180 participants free from coronary or heart diseases. The Kuo Z-Score models were optimized for LCA, LAD, and RCA across the five age groups 0-6 years, 6-7 years, 7-8 years, 8-9 years, and 9-10 years. Only the normality test for the RCA in the 7-8 year age group failed. The proposed model fitted to the normality assumption outperforming the other models. Conclusion: The Kuo Z-Score models, applicable across a broad age range, provides robust identification of coronary artery dilatation and aneurysm in KD. The models' capability to normalize diverse data sets marks a significant advancement in KD diagnostic sensitivity, aiding in better clinical decision-making and potentially improving patient outcomes.

針對 80 年後世代網路行銷廣告策略之效益分析

Tue, 03 Mar 2026 04:07:08 GMT

title: 針對 80 年後世代網路行銷廣告策略之效益分析 abstract: 整合行銷傳播是近年來最被廣為使用在行銷推廣上，而相關的策略中又以單一訊息的策略受到最多的矚目，訊息的傳達從過去使用電視、報紙及平面廣告的方式，隨著電子產品及行動通訊技術的發展，轉移到了網路上，而消費者也開始習慣使用智慧型手機或電腦接受訊息。這樣的現象更常見於習慣使用網路的1980年代後出生的世代，因此，對於不同的行業而言，以1980年後出生的世代為對象，找出最具競爭優勢的網路行銷廣告策略的使用效益成為重要的課題。本研究先以修正德菲法，由兩岸專家選出的六項網路行銷最佳方案，再將這六項方案，以TOPSIS排出其各別在九種不同的行業中使用效益與重要性決策順序，研究結果可提供給各行業，在決定網路行銷推廣組合時的參考。

A PCA Approach to Estimate the Q-matrix

Tue, 03 Mar 2026 04:07:04 GMT

title: A PCA Approach to Estimate the Q-matrix abstract: The primary purpose for this research is to estimate the Q-matrix using an exploratory factor analysis (EFA) of tetrachoric correlations. Results from simulation studies suggest that an EFA of tetrachoric correlations is feasible for estimating the Q-matrix, with recovery rates from different concoctions above 0.920. All analyses in this research are implemented in R

Targeting the Post-80’s Market: An MCDM Approach

Tue, 03 Mar 2026 04:06:59 GMT

title: Targeting the Post-80’s Market: An MCDM Approach

Beyond festivals: fostering cultural connections in tourism

Thu, 26 Feb 2026 04:08:13 GMT

title: Beyond festivals: fostering cultural connections in tourism abstract: The Integration of leisure fisheries and tourism illustrates efforts to modernize traditional industries, with Hainan’s Tanmen Sea-hunting Festival positioned as a cultural and tourism landmark. Existing initiatives, however, often prioritize economic gains while overlooking the cultural significance that fosters deeper tourist – destination bonds. This study addresses this gap by examining how festival experiences shape destination relational value, analyzing 326 valid responses from the 2024 Tanmen Festival using SEM. Findings indicate that festival experiences enhance relational value through the mediating effects of sense of belonging and cultural confidence, while cultural atmosphere and locality act as key moderators amplifying these effects. Theoretically, the research advances the SOR framework by integrating experiential, cultural, and psychological dimensions. Practically, it offers actionable guidance for designing emotionally engaging, culturally resonant festivals. Key contributions include extending the SOR model, highlighting belonging and cultural confidence as mediators, and demonstrating the moderating role of contextual factors on tourist loyalty.

Does the role of festival rituals matter in fostering cultural resonance and community citizenship?

Thu, 26 Feb 2026 04:08:10 GMT

title: Does the role of festival rituals matter in fostering cultural resonance and community citizenship? abstract: The Moon Worshiping Cultural Festival, which is celebrated during the Mid-Autumn Festival in Shuangjing Village, Jiangxi, China, offers a valuable setting for exploring how ritual activities influence residents’ citizenship behavior. This study underscores the influential role of these rituals in fostering community engagement and navigating cultural continuity amid change. Grounding the research in social cognitive theory highlights how the ritual sense of festival activities (RSFA) stimulates shifts in cultural confidence and identity, ultimately influencing behavior. The study demonstrates how RSFA strengthens cultural belonging and commitment to heritage, driving proactive citizenship behavior. Additionally, it examines how cultural contact moderates these transformations, with immersive experiences deepening their impact. By framing RSFA within evolving cultural practices, this study contributes to understanding how festivals can reinforce cultural identity, facilitate social integration, and adapt to changing contexts. The findings offer practical insights for sustaining traditions while promoting community engagement in an era of sociocultural transformation.

Melodic journeys: How place distinctiveness perception of destination songs inspires information-seeking behavior

Thu, 26 Feb 2026 04:08:06 GMT

title: Melodic journeys: How place distinctiveness perception of destination songs inspires information-seeking behavior abstract: This study pioneers a novel approach to sensory marketing by unveiling the unexplored impact of auditory stimuli—specifically destination songs—on tourists' pre-travel behaviors, such as information-seeking behavior. The purpose of the research is to investigate how perceived place distinctiveness, conveyed through music, influences both the cognitive simulation of travel experiences and emotional connection to the destination. Using The Song of Xi'an People as a case study, the study adopts a survey-based methodology to examine the mediating roles of process simulation and destination interest, as well as the moderating effect of information richness. Unlike traditional studies that emphasize visual stimuli, this research highlights the unique power of sound in evoking both cognitive and emotional engagement. Furthermore, it challenges conventional assumptions about information richness by showing that the effectiveness of auditory marketing stems from emotionally immersive content rather than the volume of cultural details presented. The results demonstrate that such immersive musical content significantly enhances curiosity and behavioral intention. The implications of this study are twofold: it advances theoretical discourse in sensory and destination marketing and offers practical insights, enabling destination marketers to strategically harness music to evoke emotional resonance, ignite curiosity, and foster meaningful pre-travel engagement in a highly competitive global tourism landscape.

Exploring how generativity influences the online review continuity of museums: the double-edged sword of monetary rewards

Thu, 26 Feb 2026 04:08:03 GMT

title: Exploring how generativity influences the online review continuity of museums: the double-edged sword of monetary rewards abstract: This study applies social capital theory to investigate the influence of generativity on online review continuity (ORC), an essential factor in guiding tourism choices, especially for museums. Results reveal that intrinsic motivations – specifically, the desire to support visitors and museums – are critical for sustaining review activity. Unexpectedly, monetary incentives can amplify generativity's positive effect on ORC and engagement. However, they may also reduce intrinsic motivations, potentially undermining the consistency of supportive behaviors from visitors and museums vital for ongoing ORC. These findings highlight the importance of carefully applying incentives to maintain intrinsic motivation. Using fsQCA, we identify two pathways that lead to ORC and establish the moderating effect of incentives, providing museums with strategies to foster lasting online engagement. By connecting motivational dynamics with actionable, sustainable practices, this research offers valuable insights to advance tourism development and cultural management, enriching the literature on tourism behavior and digital engagement.

Strategic resource allocation for marketing night tourism in ancient towns: an economic perspective

Thu, 26 Feb 2026 04:08:00 GMT

title: Strategic resource allocation for marketing night tourism in ancient towns: an economic perspective

Unveiling the influence: multiple superposition attributes of museum digital technology on visitors’ online engagement behavior.

Thu, 26 Feb 2026 04:07:56 GMT

title: Unveiling the influence: multiple superposition attributes of museum digital technology on visitors’ online engagement behavior.

Enhancing Investment Profitability: Study on Contrarian Technical Strategies in Brent Crude Oil Markets

Thu, 26 Feb 2026 04:07:51 GMT

title: Enhancing Investment Profitability: Study on Contrarian Technical Strategies in Brent Crude Oil Markets abstract: In the context of heightened oil price volatility, mastering technical trading strategies is essential for informed investment and sound decision making. This study explores the effectiveness of contrarian technical trading strategies in the Brent crude oil market, aiming to enhance returns in the face of persistent market fluctuations. Utilizing historical price data, this research formulates trading rules based on overbought and oversold signals derived from the Relative Strength Index (RSI) and the Stochastic Oscillator Indicator (SOI). It assesses their performance through a range of Average Holding Period Return (AHPR) metrics, emphasizing the 250-day AHPR as a proxy for one-year returns. The findings show that RSI-based strategies, especially those using a threshold of 25, are most effective in oversold conditions, achieving peak profitability of over 40% in Quarter 2. The conclusions highlight the importance of parameter flexibility, strategic timing, and responsiveness to market dynamics in optimizing the contrarian strategy performance. The implications suggest investors and managers can refine strategies by accounting for behavioral biases, market timing, and flexible parameters, while enhancing big data analytics in technical trading. Keywords: contrarian trading; Brent crude oil market; relative strength index (RSI); stochastic oscillator indicator (SOI); trading timing; big data analytics

Charisma vs. discounts: a catalyst for online engagement in tourism and hospitality?

Thu, 26 Feb 2026 04:07:48 GMT

title: Charisma vs. discounts: a catalyst for online engagement in tourism and hospitality?

The power of safety: How public health measures influence exhibition attendance and engagement

Thu, 26 Feb 2026 04:07:45 GMT

title: The power of safety: How public health measures influence exhibition attendance and engagement abstract: This study investigates the influence of public health risk mitigation measures on exhibition engagement intentions, emphasizing their role in enhancing safety and participant involvement. As safety becomes increasingly critical, the research highlights how effective risk mitigation strategies can reduce anxiety, bolster perceptions of security, and foster visitor confidence, directly driving engagement. The moderating effect of perceived vaccine effectiveness is also analyzed, offering practical insights for exhibition organizers to sustain attendance and engagement during public health crises. Through fuzzy set qualitative comparative analysis (fsQCA), the study reveals three distinct configurations of factors that underpin engagement intentions, providing a comprehensive understanding of decision-making in crisis contexts. These findings advance safety science by demonstrating how strong risk management practices can mitigate uncertainties and ensure the resilience of exhibitions in rapidly changing environments, offering valuable implications for researchers and industry professionals dedicated to enhancing safety and engagement.

Data-driven profitability: contrasting insights into TRB strategies in Taiwan and China stock markets

Thu, 26 Feb 2026 04:07:40 GMT

title: Data-driven profitability: contrasting insights into TRB strategies in Taiwan and China stock markets abstract: The growing interest in data-driven trading motivates the need to clarify whether technical rules consistently generate profitability across markets with different structural characteristics. This study aims to compare the effectiveness of Trading Range Breakout (TRB) strategies in Taiwan and China, addressing the research problem of whether long positions triggered by major price breakouts can deliver sustainable returns in both markets and whether their performance varies systematically. Using large datasets of extensive historical index data, the results show that long positions based on 240-day highs or lows produce significant returns in both markets, with momentum strategies proving more effective in China and contrarian strategies performing better in Taiwan. This study contributes to existing knowledge by revealing that TRB profitability depends on market-specific conditions rather than uniform principles, thereby offering a more nuanced theoretical understanding of technical rule performance and providing investors with evidence-based insights for navigating diverse financial environments.

Beyond the chaos: how crowded exhibitions shape customer politeness and service interactions

Thu, 26 Feb 2026 04:07:36 GMT

title: Beyond the chaos: how crowded exhibitions shape customer politeness and service interactions

Crafting solutions to leadership demands for well-being and effectiveness

Mon, 23 Feb 2026 04:05:47 GMT

title: Crafting solutions to leadership demands for well-being and effectiveness abstract: Leadership is a prominent function within organizations and social entities, and research suggests leadership that is more active tends to be more effective. However, emerging research contends that more active leadership can place stressful demands on leaders, which can jeopardize their well-being and eventual effectiveness. In this article, we draw from research on job demands, job resources, and stress coping to outline an applied framework of leader strain management. The model explains how leadership demands (i.e., the challenges/hindrances leaders face) can influence leader strains (i.e., negative implications of the demands) and how leader resources (i.e., tangible/intangible assets) can be leveraged through coping activities to resolve demands or reduce strains. We propose five guidelines for leaders seeking to balance engaging their leadership responsibilities with maintaining their well-being and sustaining their effectiveness over time.

The Factors for Success in Implementing Industry 5.0 in the Sheet Metal Manufacturing Industry

Fri, 26 Sep 2025 04:05:25 GMT

title: The Factors for Success in Implementing Industry 5.0 in the Sheet Metal Manufacturing Industry abstract: Industry 5.0, as a continuation of Industry 4.0, emphasizes the integration of human-centric thinking and intelligent technologies, achieving synergetic development among humans, machines, and the environment through Artificial Intelligence (AI) and Human-Robot Collaboration (HRC). Against this backdrop, the sheet metal manufacturing industry faces challenges such as technological upgrades, green production goals, and labor shortages. The market urgently requires exploration of the Critical Success Factors (CSFs) for implementing Industry 5.0 to achieve smart and sustainable development. The purpose of this study is to identify the success factors for implementing Industry 5.0 in the sheet metal manufacturing industry, providing feasible pathways for companies to enhance operational efficiency and adopt smart manufacturing. Initially, the study applies relevant literature and the Fuzzy Delphi Method to screen key criteria and sub-criteria, constructing a hierarchical framework of five primary criteria and 25 sub-criteria for success. Subsequently, the Analytic Hierarchy Process (AHP) is employed to analyze the weights and rankings of these criteria and sub-criteria. The five primary criteria include "Sustainability," "Industry 4.0 Technology," "Organizational Resilience," "Supply Chain Resilience," and "Human-Centric Technology," alongside their respective 25 sub-criteria. The analysis reveals that the top two critical success factors for successfully adopting smart manufacturing in the sheet metal industry are "Artificial Intelligence" and "Human-Robot Collaboration," highlighting their pivotal influence on the implementation of Industry 5.0. The findings provide strategic recommendations for resource-constrained companies, proposing actionable plans to achieve green and intelligent manufacturing. The study not only offers a theoretical basis for the sheet metal manufacturing industry's adoption of Industry 5.0 but also helps companies gain a competitive advantage through the coordinated development of technological innovation and environmental sustainability.

Big Data Analytics for Construction Progress Management

Fri, 26 Sep 2025 04:05:22 GMT

title: Big Data Analytics for Construction Progress Management abstract: Construction projects face growing public environmental awareness, a shortage of skilled workers, and increasingly stringent legal regulations. Although construction technologies are advancing, construction progress management remains context-dependent, involving a complex construction process with numerous variables and uncertainties. Therefore, an effective management model is necessary to control construction progress. By applying statistical methods, we enhanced the efficiency and accuracy of construction progress management. By utilizing artificial intelligence and big data analytics, we established a management program that empowers construction management teams to predict construction progress conveniently, manage human resources effectively, identify risk management issues, and control costs. The program improves the success rate of on-time project completion and the efficient use of resources.

Enhancing Sustainable Innovations in Intelligent Wood Pellets Through Smart Customized Furniture and Total Quality Management

Fri, 26 Sep 2025 04:05:11 GMT

title: Enhancing Sustainable Innovations in Intelligent Wood Pellets Through Smart Customized Furniture and Total Quality Management abstract: This study aimed to enhance sustainable innovations in intelligent wood pellets by integrating smart customized furniture design with Total Quality Management (TQM) principles. Through qualitative interviews with manufacturers and the application of lean production frameworks, the research explored how sustainability-driven customization can lead to optimized resource usage, reduced environmental impact, and increased market competitiveness. While the study was exploratory and limited in sample size, it provided practical insights for green manufacturing strategies and product differentiation in circular economies.

How Taiwan’s Broadband Program Can Continue to Improve Internet Usage: Evidence from Panel Data

Mon, 22 Sep 2025 04:07:40 GMT

title: How Taiwan’s Broadband Program Can Continue to Improve Internet Usage: Evidence from Panel Data abstract: Since 2002, Taiwan has given a significant amount of public subsidies to projects aimed at improving its information and communication infrastructure and these programs have a budget greater than 250 billion NTD. The goal of addressing the first-order digital divide is still in progress, whether the second-order digital divide exists has a groups effect is unclear? Is there any difference in the periods effect? The impact between groups and periods of panel data between 2011 and 2022 was evaluated using the least squares dummy variables model in this study. According to the empirical analysis, ten administrative districts, including Taipei City, are experiencing challenges in bridging the digital divide even though the digital gap and internet usage rates are not identical. Cable and mobile operators are crucial for boosting internet usage and closing the digital divide. The digital divide will worsen due to the economic gap caused by mobile device (e.g. smartphones, tablets) ownership compared to household characteristics. While the government continues to invest in broadband construction and improve internet access to reduce the first-order digital divide, regional differences in internet usage should be further explored, to clarify and address the problem of the second-order digital divide according to local conditions.

From Visitors to Vitality: How Relational Populations Support Regional Revitalization in Aging Urban and Rural Areas

Tue, 16 Sep 2025 04:08:45 GMT

title: From Visitors to Vitality: How Relational Populations Support Regional Revitalization in Aging Urban and Rural Areas abstract: Urban shrinkage, exacerbated by population aging, is a critical global issue, with particularly severe effects in Asia. This study introduces the concept of the "relational population," highlighting the potential of tourists as long-term contributors to regional revitalization. Unlike traditional tourist roles, this research explores how tourists can foster regional vitality by becoming emotionally invested stakeholders. Focusing on Tamsui, a shrinking urban and rural area, this study aims to transform tourists into a relational population, deepening their connection to Tamsui's cultural heritage. Using structural equation modeling to analyze data from 473 survey responses, the findings underscore the significant influence of place attachment on tourist engagement, emotional cohesion, and co-creation of value. The results suggest a paradigm shift: tourists are evolving from mere economic agents to essential participants in regional revitalization, particularly in addressing demographic challenges.

Fuzzy portfolio selection in the trade-off between different economy trends and security returns

Thu, 24 Jul 2025 04:05:29 GMT

title: Fuzzy portfolio selection in the trade-off between different economy trends and security returns abstract: Portfolio selection has been applied to the allocation of assets among the selected securities for obtaining the most profitable return. However, the theory of behavioural finance proposes that the investment proportions of securities are not only determined by the intrinsic value of the security but also largely affected by the behaviour of investors. Therefore, the behaviour analysis of an investor should play a major role in the portfolio selection. In this study, we apply a piecewise linear function to decompose the fuzzy expected return rates by judging the economy trend which transits from the current stage into the next stage and an upward or downward trend for each security return in the next stage. Analysis results indicated that we could obtain the investment proportions for the selected securities in different transitions to the economy stage with the judgement of upward or downward trend to each security. The portfolio selection in which the economy transits to the recovery stage derived a higher expected return rate than the other stages. Finally, in the illustration, any investor can use the selected portfolio by his investment behaviour after collecting the required information for the economy stage and return trends of securities.

The resolution of excess investment in Fuzzy portfolio selection using piecewise linear function

Thu, 24 Jul 2025 04:05:24 GMT

title: The resolution of excess investment in Fuzzy portfolio selection using piecewise linear function abstract: Fuzzy portfolio selection on the guaranteed return rate has been proposed to study excess investment in different dimensions of risk preferences. However, the theory of behavioural finance proposes that the investment proportions of securities are not only determined by the intrinsic value of the security but also largely affected by the behaviour of investors. Therefore, the investment behaviour of an investor in the fuzzy portfolio selection should be considered in the excess investment for different securities at different return rates. In this study, we propose a piecewise linear function for the fuzzy expected return rates and use the new decision variables for investment proportion in each security. In addition, considering the investment behaviours of decision-makers, we use the concept of fuzzy contingent strategy to take into account the relationships of investment proportion among the securities in the fuzzy portfolio selection. Analysis results indicated that we can find the investment proportions in the portfolio with the possible results of shortage investment, full investment, or excess investments by the fuzzy constraint of total investment proportions. Finally, in the illustration with two experiments, investors could individually select the portfolio by the piecewise linear function in shortage investment, full investment, or excess investment.

The power of appeal: do good looks and talents of vloggers in tourism short videos matter online customer citizenship behavior?

Tue, 22 Jul 2025 04:05:36 GMT

title: The power of appeal: do good looks and talents of vloggers in tourism short videos matter online customer citizenship behavior? abstract: As the tourism industry recovers post-COVID-19, tourism short videos have emerged as a vital marketing tool. This study explores their impact on online customer citizenship behavior, providing valuable insights for marketers and destination managers to attract tourists and promote sustainable tourism. A survey method was employed, yielding 280 valid responses. Data were analyzed using SPSS Process and AMOS, with CFA for measurement validation and SEM to examine causal relationships. Consequently, by analyzing the effects of talents (emotional and informational support) and good looks (appearance charm), We found that informational and emotional support, along with vlogger appearance charm, significantly boost perceived value and online customer citizenship behavior. Perceived value mediates the relationship between these factors and customer behavior, showing that well-crafted tourism short …

Delivery Service and Omni-channel Online and Offline in Vietnam During the Covid-19 Pandemic

Fri, 11 Jul 2025 04:05:39 GMT

title: Delivery Service and Omni-channel Online and Offline in Vietnam During the Covid-19 Pandemic abstract: Under the Covid-19 pandemic, Vietnam has not only seen in a clear shift from traditional trade to modern trade channels, but also there has been a shift from traditional trade to omni-channel online and offline. This leads to investigate several questions regarding retailing in Vietnam during the Covid-19 pandemic. What omni-channel process of delivery service is provided by operators in Vietnam? What are the profiles of the delivery service for omni-channel consumers in Vietnam? What are different consumer segment delivery service preferences in omni-channel and purchasing modes for online and offline? What profiles/patterns/rules should retail operators consider making their omni-channel delivery service model more competitive for online and offline in retailing? This study investigates Vietnamese consumer behaviors with delivery services and omni-channel online and offline (N = 2,204). Data mining analytics, including clustering analysis and association rules, reveal meaningful clusters/patterns/rules for investigating delivery service and omni-channel online and offline development.

Re-patronage on chain stores: mediating and moderating role of customer engagement and experiential value

Fri, 11 Jul 2025 04:05:35 GMT

title: Re-patronage on chain stores: mediating and moderating role of customer engagement and experiential value abstract: We contact the outside world through our five sense organs. This is the goal for business creating and maintaining attractive five senses for better servicescape service quality and sales. Perceived service quality is the level of consumers’ cognition of service quality in a specific situation. That is an important basis for consumers to make purchase and re-patronage decisions. With satisfaction, loyalty and commitment from customers, customer engagement can support customer re-patronage. Experiential value is a sublimation of service value, which is form a deep memory or leave a good impression on a service. Re-patronage intention is usually interpreted as the leading factor of re-purchasing power. Chunghwa Telecom Co., Ltd. (CHT) is the largest integrated telecommunications service chain stores in Taiwan. This study aims to investigate the mediating effect of customer engagement and moderating role of experiential value into the research model to investigate the two moderated moderation effects for the CHT chain stores (n = 937). This study first found that mediating effect of customer engagement and moderating role of experiential value on the relationship between perceived service quality and five senses of servicescape can enhance re-patronage on CHT chain stores. Finally, theoretical and practical implications are presented.

Influence of online to offline on a chain store: Two moderated mediation models investigation

Fri, 11 Jul 2025 04:05:31 GMT

title: Influence of online to offline on a chain store: Two moderated mediation models investigation abstract: In the online to offline (O2O) model, online marketing and online purchases drive offline (non-Internet) operations and offline consumption. E-commerce must use more effective methods in combination with offline physical stores for consumers to obtain better online services. However, if there are positive effects from offline from customers on the re-purchase, it can generate a positive power return to online. In addition, could online to offline moves on a path that have either stronger or weaker influence of re-purchase on chain stores with customers’ electronic word-of-mouth and online involvement? To understand the influence of O2O on chain stores, this study investigates the relationships between chain store brand images, perceived value, customer satisfaction and re-purchase intention on offline considerations in a Taiwan telecom chain store (N = 1,602). The research results find that customer satisfaction plays a fully mediating role. In addition, electronic word-of-mouth and online involvement play two moderating roles on the relationships between chain store brand image, perceived value, customer satisfaction, and re-purchase intention respectively. Finally, theoretical and practical implications, conclusion, limitations and future research are presented.

Data mining analytics investigate on TikTok users’ behaviors: Social media App development

Fri, 11 Jul 2025 04:05:27 GMT

title: Data mining analytics investigate on TikTok users’ behaviors: Social media App development abstract: Purpose TikTok, a social media application (app), was originally positioned as a short music video community suitable for young users, and the app is user-generated content (UGC) short video of vertical music. Users can make their own creative videos. Following the rhythm of the music, users can shoot various video content, personal talents, life records, performances, dances, plot interpretations, etc. However, what are the profiles and preferences of TikTok users, whereby the social media app is mainly developed by UGC? What is the impact of TikTok on the development of social media? In addition, what is UGC's social media model for user interactions in social networks? The purpose of this paper is to address and study these proposed issues. Design/methodology/approach All questionnaire items are designed as nominal and ordinal scales (not Likert scale). The obtained data from questionnaires are put into the relational database (N = 2,011). This empirical study takes Taiwan TikTok users as the research object, implements data mining analytics to generate user profiles through clustering analysis and further uses association rules’ analysis to analyze social media apps in social network interaction and social apps’ development by proposing two patterns and several meaningful rules. Findings This study finds that social media apps is a valuable practical research topic on online social media development. In addition, besides the TikTok, the authors eagerly await subsequent research to provide more valuable findings of social media apps in both theory and practice. Originality/value This study presents the research evidences that social media apps such as TikTok will be able to transcend the current development pattern of social media and make good use of the media and technology innovation of apps in social development and social informatics.

Supply chain collaboration and innovation capability: The moderated mediating role of quality management

Fri, 11 Jul 2025 04:05:22 GMT

title: Supply chain collaboration and innovation capability: The moderated mediating role of quality management abstract: With the establishment of a collaboration supply chain mechanism enterprises can obtain greater opportunities to prosper within the current highly competitive business environment. These enterprises can then obtain sustainable competitive advantage and business excellence based on superior supply chain capabilities and improvement of operating costs, product quality, and innovation capabilities. The objects of this study are the upstream, midstream, and downstream suppliers of the supply chain for Taiwan’s optoelectronics industry. A total of 454 effective questionnaires were recovered. The relationships of supply chain collaboration, supply chain capability, and innovative capability were tested through a structural equation model. Furthermore, quality management was used to explore the existence of the effect of moderated mediation in the research model. Finally, it was found that supply chain collaboration can directly and indirectly have a positive influence on innovation capability, and the effect of moderated mediation does exist in the research model.