bluuebunny/crossref_metadata_2025_split huggingface dataset:
Slow tourism experience: impact on emotions, engagement and well-being
Authors: Lee Solbi , Busser James A. , Kim Minji , Shulga Lenna V. 
Published: October 2024

PurposeAs the overflow of information accelerates the pace of life, people search for opportunities to escape from their fast-paced lifestyle by engaging in slower consumption. This research empirically tested the role of slow tourism experience (STE) in improving one’s well-being.Design/methodology/approachIn Study 1, 205 qualified tourists participated. Exploratory factor analysis using principal component analysis with Promax rotation in SPSS v.26 was deployed to examine scale factors. Study 2 consisted of 460 tourists to test the conceptual model using partial least squares structural equation modeling. Multi-group analysis identified statistically significant differences between path coefficients in the structural models for males and females.FindingsResults revealed a three-dimensional STE measure: deceleration, immersion and self-reflection. STE significantly impacted positive emotions and mediated tourist engagement and subjective well-being. Gender multi-group analysis indicated STE had a positive direct impact on SWB for male tourists; however, STE positively affected SWB through tourist destination engagement for female tourists.Research limitations/implicationsThe study was limited to tourists who had stayed at a destination. Future research may consider the different modes or mindsets that tourists use in designing their itinerary, length of stay, type of transportation, level of investment in the environment and culture.Practical implicationsPractitioners can distinguish tourism activities based on gender, focusing on engaging female tourists and triggering emotions for male tourists.Originality/valueThis is one of the first studies to operationalize and examine STE, extending the broad-and-build theory’s relevance in slow tourism research by revealing the effects of STE on tourists’ SWB.
Perceptions and challenges of blockchain adoption in tourism industry: a study on trust, privacy and security
Authors: Rodríguez Bolívar Manuel Pedro , Sepe Fabiana , Nanu Luana , Roberto Fabiana 
Published: October 2024

Purpose
This study aims to investigate the perceptions of service providers in the travel and hospitality industry toward the adoption of blockchain technology (BCT), focusing on its impact on consumer experiences and expectations, especially in terms of trustworthiness and the management of privacy and security concerns.

Design/methodology/approach
The research used a quantitative methodology, collecting data from 135 industry practitioners across five tourism sectors (lodging, connected industries, entertainment, FandB, transportation) in Europe. This approach aimed to understand the diverse perspectives on the benefits and challenges of implementing BCT in their opera

Findings
The results indicate mixed perceptions regarding blockchain adoption. While there are positive views on BCT’s potential to enhance customer experience and service quality, there are significant concerns about its impact on trust and security. A consensus exists between customer and provider perspectives on BCT’s trustworthiness, but significant differences were observed in views on privacy and security enhancement.

Originality/value
This research contributes to the existing literature by providing insights into the service providers’ and customers’ perspectives on BCT within the travel and hospitality industry. It underscores the complexities of adopting new technologies and calls for more in-depth studies to address the identified concerns, thereby offering a novel viewpoint on the adoption of distributed ledger technologies in enhancing customer experience and service delivery.
Are you really satisfied in life? Developing a scale on life satisfaction
Authors: Dhir Swati , Singh Shiwangi , Singh Lata Bajpai 
Published: October 2024

Purpose
This study attempted to measure life satisfaction and developed a scale to measure its dimensions with the required psychometric properties (validity and reliability). In today’s scenario, organizations are focusing on life satisfaction by helping employees to maintain their work-life balance. Therefore, this paper aims to develop a robust scale of life satisfaction.

Design/methodology/approach
The methodology consists of three broad stages: item generation, scale development, and validity. Using the sample of 198 working executives, this study used the exploratory factor analysis (EFA) and concluded the four dimensions of life satisfaction: work satisfaction, family satisfaction, societal satisfaction and self-satisfaction.

Findings
The results provide academicians and practitioners with new insight and dimensions of life satisfaction. The result of this study shows that life satisfaction has societal satisfaction, family satisfaction, job satisfaction and self-satisfaction dimensions.

Practical implications
This study will provide practitioners with new dimensions to measure life satisfaction. They can help employees achieve life satisfaction across four different factors. This will enable more employee satisfaction, an increase in retention rate and an increase in employee performance. Furthermore, this study provides implications from a policy perspective to design the business policy by considering life satisfaction as an important part of formulating and implementing human resource policies.

Originality/value
This study is unique in terms of exploring the dimensions of life satisfaction in a structured manner and establishing the psychometric properties as construct, content, and criterion validity along with reliability. This scale can be further used in future research to measure the life satisfaction construct.
Spiritual tourism development: a comprehensive synthesis for sustainable destination planning and growth
Authors: Mishra Divya , Maheshwari Nidhi 
Published: October 2024

Purpose
This paper aims to explore the dimensions of spiritual tourism development, examine its current status, effectiveness and scope and analyze the knowledge landscape in terms of theories, contexts and research methodologies. The study also seeks to guide future research on spiritual tourism development.

Design/methodology/approach
A systematic literature review (SLR) and bibliometric analysis were used using a framework-based approach. The theories, constructs, characteristics and methods (TCCM) framework guided the SLR, whereas VOS-Viewer facilitated comprehensive bibliometric analysis.

Findings
The study conducted a quantitative SLR, analyzing 80 research articles published between 2003 and 2023. Using the TCCM framework, the research identified crucial factors influencing the growth of spiritual tourist destinations, such as intrinsic motivation, destination physicality, tourist experience, spiritual activities and host community support.

Research limitations/implications
This study contributes to theoretical advancement in spiritual tourism, provides insights into the current research landscape, offers practical guidance for stakeholders and serves as a roadmap for future research endeavors.

Originality/value
This research enhances knowledge by thoroughly assessing prior research, addressing gaps and offering practical managerial insights for spiritual tourism development. The managerial implications outlined in the study offer practical insights for destination planning and promotion in the context of spiritual tourism.
Research on the mechanism of digital innovation ecosystem embeddedness on the digital innovation performance of complementary enterprises: evidence from China
Authors: Liu Jingtao , Ning Lianju , Gao Qifang 
Published: October 2024

PurposeIn the era of the digital economy, the digital innovation ecosystem is an important vehicle to alleviate enterprises' resource and capability constraints and thus improve their digital innovation performance. Embedding digital innovation ecosystems for survival and development opportunities has become a new strategic choice for enterprises. However, how digital innovation ecosystem embeddedness affects the digital innovation performance of complementary enterprises has not yet been fully revealed. This study examines whether digital innovation ecosystem embeddedness affects the digital innovation performance of complementary enterprises through ambidextrous capabilities (exploration and exploitation) and the moderating role of strategic flexibility.Design/methodology/approachA field survey was conducted in China, collecting survey data from 578 complementary enterprises in advanced manufacturing industries embedded in digital innovation ecosystems. This study applies multiple regression analysis to verify the relevant hypotheses.FindingsThe results confirmed that (1) digital innovation ecosystem embeddedness has a significant positive effect on complementary enterprises' digital innovation performance; (2) Ambidextrous capabilities play a partial mediating role in the relationship between digital innovation ecosystem embeddedness and complementary enterprises' digital innovation performance. (3) Strategic flexibility positively moderates the effect of digital innovation ecosystem embeddedness on ambidextrous capabilities and digital innovation performance.Practical implicationsThe findings, intended to guide enterprises that complement the digital innovation ecosystem to achieve digital innovation and performance improvement, highlight the importance of eco-embedded strategies, ambidextrous capabilities and strategic flexibility.Originality/valueThe finding enriches antecedent research on digital innovation performance and provides practical insights for firms to embed themselves in digital innovation ecosystems to improve performance.
How does perceived security influence mobile wallet users' behavior? A SEM investigation
Authors: Chand Khem , Tiwari Rajesh , Gupta Anjali , Taneja Sanjay , Özen Ercan 
Published: October 2024

PurposeThe digital disruptions have provided alternative methods of monetary transactions. Despite the digital wave, cash as a payment option has regained its position. The purpose of this research is to investigate behavioral intentions of mobile wallet (m-wallet) users. The paper explores the dynamics of perception, behavioral intention motivation and satisfaction of m-wallet users.Design/methodology/approachThe authors have used a self-administered questionnaire for data collection. A total of 506 responses were analysed using confirmatory factor analysis in conjunction with Structural Equation Modeling, ensuring the validity and reliability of the insights into the behavioral dynamics of m-wallet users.FindingsThe research highlights the direct impact of perceived security on m-wallet users' perceptions, which subsequently influence both direct and indirect behavioral intentions. Moreover, satisfaction emerged as a significant determinant directly shaping behavioral intentions.Originality/valueThis study contributes significantly to the existing literature by offering a comprehensive understanding of the factors driving m-wallet adoption and usage intentions, thereby equipping stakeholders and policymakers with the necessary tools to devise effective strategies to promote mobile payment technologies in North India. The study employs a multifaceted model that incorporates six key elements, providing a comprehensive understanding of the complex interrelationships among these variables.
3D Controlled‐source electromagnetic modelling in anisotropic media using secondary potentials and a cascadic multigrid solver
Authors: Pan Kejia , Wang Jinxuan , Han Xu , Ren Zhengyong , Ling Weiwei , Guo Rongwen 
Published: October 2024

AbstractQuantitative interpretation of the data from controlled‐source electromagnetic methods, whether via forward modelling or inversion, requires solving a considerable number of forward problems, and multigrid methods are often employed to accelerate the solving process. In this study, a new extrapolation cascadic multigrid method is employed to solve the large sparse complex linear system arising from the finite element approximation of Maxwell's equations using secondary potentials. The equations using secondary potentials are discretized by the classic nodal finite element method on nonuniform rectilinear grids. The resulting linear systems are solved by the extrapolation cascadic multigrid method with a new prolongation operator and preconditioned Stabilized bi‐conjugate gradient method smoother. High‐order interpolation and global extrapolation formulas are utilized to construct the multigrid prolongation operator. The extrapolation cascadic multigrid method with the new prolongation operator is easier to implement and more flexible in application than the original one. Finally, several synthetic examples including layered models, models with anisotropic anomalous bodies or layers, are used to validate the accuracy and efficiency of the proposed method. Numerical results show that the extrapolation cascadic multigrid method improves the efficiency of 3D controlled‐source electromagnetic forward modelling a lot, compared with traditional iterative solvers and some state‐of‐the‐art methods or software (e.g., preconditioned flexible generalized minimal residual method, emg3d) in the considered models and grid settings. The efficiency benefit is more evident as the number of unknowns increases, and the proposed method is more efficient at low frequencies. The extrapolation cascadic multigrid method can also be used to solve systems of equations arising from related applications, such as induction logging, airborne electromagnetic, etc.
Exploring riverine aquatic animal diversity and establishing aquatic ecological monitoring approaches tailored to the Qinling region via eDNA technology
Authors: WANG Biao , WANG Yuqi , HE Ni , DU Mingxing , YOU Ping 
Published: October 2024

AbstractThis study thoroughly examines biodiversity and aquatic ecosystems across 14 sampled sites within the Shitou River basin by utilizing environmental DNA technology. Through integrated analysis and high‐throughput sequencing, the study elucidates a diverse array of biodiversity, encompassing 27 fish species and 341 freshwater benthic macroinvertebrates (FBM) species. Using various biodiversity indices, we found significant differences in diversity and stability across different environments. Regions with more complex habitats had higher species richness and evenness. Further analyses showed complex relationships between diversity metrics for FBM and fish, indicating potential interactions between these groups. The standardized mean score (SMS) was developed to aid in the assessment of water quality. Specifically, SMS scoring revealed that sites STH3, STH4, and STH14 excelled across multiple dimensions, earning an “Excellent” rating, while site STH12 was rated as “Poor” due to subpar performance across several metrics. This project not only enhances current understanding regarding aquatic ecological dynamics but also establishes a strong foundation for detailed environmental evaluation and monitoring, aligned with the priorities of contemporary ecological management and caution.
Sympatric diversity pattern driven by the secondary contact of two deeply divergent lineages of the soybean pod borer Leguminivora glycinivorella
Authors: YANG Mingsheng , WANG Ying , DAI Peng , FENG Dandan , HUGHES Alice C. , LI Houhun , ZHANG Aibing 
Published: October 2024

AbstractThe soybean pod borer, Leguminivora glycinivorella (Matsumura), is an important tortricid pest species widely distributed in most parts of China and its adjacent regions. Here, we analyzed the genetic diversity and population differentiation of L. glycinivorella using diverse genetic information including the standard cox1 barcode sequences, mitochondrial genomes (mitogenomes), and single‐nucleotide polymorphisms (SNPs) from genotyping‐by‐sequencing. Based on a comprehensive sampling (including adults or larvae of L. glycinivorella newly collected at 22 of the total 30 localities examined) that covers most of the known distribution range of this pest, analyses of 543 cox1 barcode sequences and 60 mitogenomes revealed that the traditionally recognized and widely distributed L. glycinivorella contains two sympatric and widely distributed genetic lineages (A and B) that were estimated to have diverged ∼1.14 million years ago during the middle Pleistocene. Moreover, low but statistically significant correlations were recognized between genetic differentiation and geographic or environmental distances, indicating the existence of local adaptation to some extent. Based on SNPs, phylogenetic inference, principal component analysis, fixation index, and admixture analysis all confirm the two divergent sympatric lineages. Compared with the stable demographic history of Lineage B, the expansion of Lineage A had possibly made the secondary contact of the two lineages probable, and this process may be driven by the climate fluctuation during the late Pleistocene as revealed by ecological niche modeling.
The House of Commons notebook of Pryse Campbell MP, March–April 1756
Authors: Davies John E. 
Published: October 2024

AbstractThis article reproduces the contents of a small notebook detailing, in a highly abbreviated form, the house of commons debate of 29 March 1756 regarding the use of Hanoverian and Hessian troops to defend Britain from invasion by the French, necessitated by the abysmal state of the home defences. In a separate, very short, section, the notebook details amendments to be made to the Militia Bill, which was enacted in 1757, to reform the militia in England and Wales.
Acoustics, Audibility and Political Culture in the House of Commons, 1800–34
Authors: Foteinou Aglaia , Cooper J.P.D. , Murphy Damian 
Published: October 2024

AbstractHow easy was it to hear, and be heard, in the historic house of commons? Located in the former St Stephen's Chapel in the Palace of Westminster, the pre‐1834 Commons had not been designed as a place of debate, though its refurbishment by Christopher Wren may have taken acoustics into account. This article focuses on the chamber as re‐ordered by James Wyatt in 1800–1 to accommodate 100 members from Ireland following the Acts of Union. Employing acoustic simulation software and an interdisciplinary methodology, we explore the soundscape of the Commons as experienced both on the floor of the house and in the ventilator space where women gathered to listen to the debates below. Modelling for different scenarios, including speeches delivered from the front and back benches and the Speaker's chair, we present comparative data for their audibility in a fully‐ or half‐occupied house. Evidence for contemporary understanding of the acoustics of the chamber, for instance around the ‘elasticity of the atmospheric air’, is also reviewed in light of modern science. Results are interpreted for their impact on the political culture of the pre‐1834 house of commons including choice of seating, oratorical strategies, and the experience of reporters in the gallery.
Influences of superfine‐grinding and mix enzymolysis alone or combined with hydroxypropylation or acetylation on the hypolipidemic and hypoglycemic properties of coconut endosperm residue fiber
Authors: Feng Chen , He Chenlong , Li Yan , Zheng Yajun , Yang Bao , Zhuang Yongliang 
Published: October 2024

AbstractCoconut endosperm residue is an abundant and low‐cost resource of dietary fiber, but the low soluble fiber content limits its functional properties and applications in the food industry. To improve the hypolipidemic and hypoglycemic properties, coconut endosperm residue fiber (CERF) was modified by superfine‐grinding and mix enzymatic hydrolysis alone, or combined with acetylation or hydroxypropylation. The effects of these modifications on the structure and functional properties were studied using scanning electron microscopy, Fourier‐transformed infrared spectroscopy, and in vitro tests. After these modifications, the microstructure of CERF became more porous, and its soluble fiber content, surface area, water adsorption, and expansion capacities were all improved (p < 0.05). Moreover, superfine‐grinding and mix enzymolysis combined with acetylation treated CERF showed the highest surface hydrophobicity (48.96) and cholesterol and cholate adsorption abilities (33.72 and 42.04 mg∙g‒1). Superfine‐grinding‐, mix enzymolysis‐, and hydroxypropylation‐treated CERF exhibited the highest viscosity (17.84 cP), glucose adsorption capacity (29.61 µmol∙g‒1), and glucose diffusion inhibition activity (73.96%), and water‐expansion ability (8.60 mL∙g‒1). Additionally, superfine‐grinding and mix enzymatic hydrolyzed CERF had the highest α‐amylase inhibiting activity (42.76%). Therefore, superfine‐grinding and mix enzymolysis alone or combined with hydroxypropylation were better choices to improve hypoglycemic properties of CERF; meanwhile, superfine‐grinding and mix enzymolysis combined with acetylation can effectively improve its hypolipidemic properties.Practical ApplicationThis study offered three composite modification methods to improve the soluble fiber content and in vitro hypolipidemic and hypoglycemic properties of coconut endosperm residue fiber. These modification methods were practicable and low‐cost. Moreover, it provides good choices to improve the functional properties and applications of other dietary fibers in the food industry.
Estimation of the soluble solid content of citrus based on the fractional‐order derivative and optimal band combination algorithm
Authors: Dou Shiqing , Deng Yuanxiang , Zhang Wenjie , Yan Jichi , Mei Zhengmin , Li Minglan 
Published: October 2024

AbstractThe soluble solid content (SSC) is a primary characteristic index for evaluating the internal quality of citrus fruits. The development of rapid and nondestructive SSC detection techniques can help address the current issues of postharvest quality grading in China's citrus industry. In this study, a total of 261 experimental samples, including 70 Murcott, 91 Clementine, and 100 Navel orange, were divided into prediction and validation sets in a 7:3 ratio. After obtaining the reflection spectra and SSCs, SNV‐FOD (Standard Normal Variate—Fractional‐Order Derivative) was used to process the spectra, and the optimal band combination algorithm was introduced to select SSC‐sensitive bands. Then, the obtained optimal dual‐band combination was input into eight regression models for comparison, and the best performing models stacked ensemble models was selected. Finally, the H‐ELR (HyperOpt‐optimized ensemble learning regression) model, optimized using a Bayesian function, was applied for the effective estimation of SSC for three common citrus varieties in Guangxi, Murcott, Clementine, and Navel oranges. The results show that (1) the SNV‐FOD preprocessing method proposed in this study improved the correlation coefficient with the SSC from 0.546 to 0.836 compared to that of the original spectrum, (2) the optimal dual‐band combination (969 and 1069 nm) constructed by integrating the differential index and 1.2‐order derivative yielded the most accurate results (RPD = 2.13), and (3) the H‐ELR model, based on HyperOpt optimization, achieved good estimated performance (RPD = 2.46).Practical ApplicationThis research contributes to the development of practical SSC prediction instruments with excellent universality and ease of application.