bluuebunny/crossref_metadata_2025_split huggingface dataset:
Open innovation in hospitality and tourism services: a bibliometric analysis
Authors: Robayo-Acuña Paula Viviana , Chams-Anturi Odette 
Published: December 2023

Purpose
This study aims to analyzed the development of open innovation research knowledge and its application in the tourism sector during the past 17 years, with the aim of understanding the scientific activity and impact of existing research. In addition, this research identifies trending thematic lines and provides recommendations for future research on this topic.

Design/methodology/approach
A bibliometric analysis was carried out from the Scopus database, in which 110 studies related to open innovation in tourism were identified. The analysis of the papers was done with the Bibliometrix and Vosviewer tools.

Findings
The results show that there is a recent and growing interest among academics, especially since 2017. Moreover, four main lines of work were identified: overtourism and sustainability, value cocreation, open innovation and competitive advantage and its impact on organizations belonging to the hotel sector and the relationship between external knowledge and internal sources in innovation management and open innovation performance.

Originality/value
The relationship with other stakeholders involved in the customer experience value creation in the tourism sector depends to a large extent on the joint offer that hotels, restaurants, tour operators and tourist offices, can provide in a tourist destination. Therefore, having external sources to innovate from will improve their innovative and organizational performance. However, there are no bibliometric analyses on the application of the open innovation paradigm in this sector. Thus, this research contributes to fill this gap, as well as to identify the most recurrent themes that show how open innovation is developing in tourism, providing academics and researchers with guidelines for future research.
Herd behavior in social commerce: understanding the interplay between self-awareness and environment-awareness
Authors: Chen Xiayu , Chen Renee Rui , Wei Shaobo , Davison Robert M. 
Published: December 2023

PurposeThis study investigates how individuals' self-awareness (specifically, private and public self-awareness) and environment-awareness (perceived expertise, similarity and familiarity) shape herd behavior, encompassing discounting one’s information and imitating others. Drawing from latent state-trait theory, this research aims to discern the impact of these factors on purchase intention and behavior.Design/methodology/approachLongitudinal data from 231 users in Xiaohongshu, China’s leading social commerce platform, were collected to test the proposed model and hypotheses.FindingsThe findings from this study show that private self-awareness negatively influences discounting one’s own information and imitating others. Public self-awareness positively affects imitating others, while it does not affect discounting one’s own information. Perceived expertise diminishes discounting one’s own information but does not significantly affect imitating others. Perceived similarity and perceived familiarity are positively related to discounting one’s own information and imitating others. The results confirm different interaction effects between self-awareness and environment-awareness on herd behavior.Originality/valueFirst, this contributes back to the latent state-trait theory by expanding the applicability of this theory to explain the phenomenon of herd behavior. Second, this study takes an important step toward theoretical advancement in the extant literature by qualifying that both self- and environment-awareness should be considered to trigger additional effects on herd behavior. Third, this study provides a more enlightened understanding of herd behavior by highlighting the significance of considering the interplay between self- and environment-awareness on herd behavior. Finally, this study also empirically confirms the validity of classifying self-awareness into private and public aspects.
Sustainable coworking: the member perspective
Authors: Magnusson Daniel , Raharjo Hendry , Bosch-Sijtsema Petra 
Published: December 2023

Purpose
Sustainability is regarded as a core value that the coworking movement aspires to. However, most sustainability efforts focus on the providers’ perspective while neglecting the coworking members’ role. Therefore, this paper aims to explore sustainable coworking from the members perspective by focusing on sustainable behaviors.

Design/methodology/approach
This study uses a flexible pattern matching approach. Theoretical patterns are identified using literature on coworking space and sustainable behavior while matching them with the empirical data. Data were collected from three different coworking spaces in Sweden through interviews and observations.

Findings
Based on the theoretical patterns, three constructs for sustainable coworking were identified, namely, productive behavior, prosocial behavior and responsible space sharing behavior. Through the empirical data, the constructs were further concretized to understand their different aspects. The findings uncovered a new layer of complexity where members can show the same behavior and be perceived differently.

Originality/value
This study offers a more holistic understanding of sustainable coworking by highlighting the members’ role and identifying different member perceptions on sustainable coworking behaviors.
Analysing volatility patterns in emerging markets: symmetric or asymmetric models?
Authors: Gupta Himani 
Published: December 2023

PurposeInvestors aim for returns when investing in stocks, making return volatility a crucial concern. This study compares symmetric and asymmetric GARCH models to forecast volatility in emerging nations like the G4 countries. Accurate volatility forecasting is vital for investors to make well-informed investment decisions, forming the core purpose of this study.Design/methodology/approachFrom January 1993 to May 2021, the study spans four periods, focusing on the global economic crisis of 2008, the Russian crisis of 2015 and the COVID-19 pandemic. Standard generalized autoregressive conditional heteroscedasticity (GARCH), exponential GARCH (E-GARCH) and Glosten-Jagannathan-Runkle GARCH models were employed to analyse the data. Robustness was assessed using the Akaike information criterion, Schwarz information criterion and maximum log-likelihood criteria.FindingsThe study's findings show that the E-GARCH model is the best model for forecasting volatility in emerging nations. This is because the E-GARCH model is able to capture the asymmetric effects of positive and negative shocks on volatility.Originality/valueThis unique study compares symmetric and asymmetric GARCH models for forecasting volatility in emerging nations, a novel approach not explored in prior research. The insights gained can aid investors in constructing more effective risk-adjusted international portfolios, offering a better understanding of stock market volatility to inform strategic investment decisions.
Rise of blockchain technology in supply chain transformation in the post-pandemic era
Authors: Raj Rohit , Kumar Vimal , Verma Priyanka , Klangrit Suriya 
Published: December 2023

Purpose
Though academic study on the subject is still in its early stages, there is growing interest in using blockchain technology for transforming the supply chain. The academic literature is divided and yet only includes studies evaluating how the supply chain has changed organizations. To comprehend the new phenomena, this study aims to investigate the factors of blockchain technology in driving supply chain transformation. To be more precise, the authors developed from the literature the most prevalent criteria for determining if supply chain transformations are ready to be scaled up.

Design/methodology/approach
This study followed a combination of two multi-criteria decision making methods evaluation based on distance from average solution and complex proportional assessment) methodology in this research: planning, investigating, executing out, establishing a rating of the criteria and evaluating it.

Findings
The study shows that the “organizational driver” and the “technology driver” are the factors most important to the transformation of the supply chain, whereas the “financial driver” and the “regulatory driver” are less important. This study also makes some managerial recommendations to address the factors impeding the supply chain’s transformation. Each factor’s significance was explored, and a proposed study agenda was also presented.

Research limitations/implications
Although the main forces behind the transformation of the supply chain have been recognized, further research into statistical correlation is required to confirm how the various elements interact.

Practical implications
This research aids decision-makers in comprehending the key forces behind supply chain transformation. Managers and decision-makers might better predict and allocate the necessary resources to start the road toward digitization and make well-informed choices once these aspects have been investigated and understood.

Originality/value
In light of the pandemic’s effects on the world and the increase in businesses embracing the digital economy, the supply chain transformation is more important than ever. Beyond blockchain deployment and the pilot studies on digital transformation, there is a gap. The topics and factors this study uncovered will operate as a framework and recommendations for more theoretical investigation and practical applications.
Institutional dynamics and road accidents in the road haulage sector: the moderating role of information communication technology
Authors: Kanyepe James , Kasambuwa Nyarai 
Published: December 2023

PurposeThe purpose of this study is to investigate the influence of institutional dynamics on road accidents and whether this relationship is moderated by information and communication technology (ICT).Design/methodology/approachThe study adopted a quantitative approach with 133 respondents. Research hypotheses were tested in AMOS version 21. In addition, moderated regression analysis was used to test the moderating role of ICT on the relationship between institutional dynamics and road accidents.FindingsThe results show that vehicle maintenance, policy enforcement, safety culture, driver training and driver management positively influence road accidents. Moreover, the study established that ICT moderates the relationship between institutional dynamics and road accidents.Practical implicationsThe results of this study serve as a practical guideline for policymakers in the road haulage sector. Managers may gain insights on how to design effective interventions to reduce road accidents.Originality/valueThis research contributes to the existing body of knowledge by exploring previously unexplored moderating paths in the relationship between institutional dynamics and road accidents. By highlighting the moderating role of ICT, the study sheds new light on the institutional dynamics that influence road accidents in the context of road haulage companies.
Transformational leadership style and psychological safety to meaningful work: moderating role customer incivility
Authors: Rabiul Md karim , Rashed Karim , Rashid Harun O.R. 
Published: December 2023

PurposeThis study examines the role of psychological safety as an antecedent to meaningful work and as a mediator between transformational leadership (TFL) and meaningful work. Additionally, it explores customer incivility as a precursor to psychological safety and as a moderator in the relationship between psychological safety and meaningful work.Design/methodology/approachData from 368 hotel employees in Bangladesh were purposively sampled and analyzed using SmartPLS.FindingsPsychological safety positively predicted meaningful work and served as a mediator in the nexus between TFL and meaningful work. Additionally, customer incivility was identified as a negative predictor of safety and acted as a moderator, reversing the association between psychological safety and meaningful work.Practical implicationsTFL exhibits mixed correlations, being negatively associated with meaningful work but positively linked to psychological safety. Therefore, workplaces should prioritize cultivating a psychologically safe environment and minimizing customer incivility to increase meaningful work.Originality/valueThe results add value to the conservation of resources and self-concept theories by examining the mediating role of psychological safety and the moderating influence of customer incivility from the perspective of hotel employees.
Welcome to the Gemini era: Google DeepMind and the information industry
Authors: Saeidnia Hamid Reza 
Published: December 2023

Purpose
The purpose of this paper is to examine the motivation behind Google’s development of Gemini and its potential impact on the information industry.

Design/methodology/approach
This viewpoint paper relies on a comprehensive analysis of the advancements in artificial intelligence (AI) technology, specifically in the field of chatbots.

Findings
The findings reveal that Gemini is designed to enhance user experiences by providing personalized and contextually relevant information. It aims to streamline information retrieval, improve customer service and offer tailored content recommendations. The competition among companies in building AI-powered chatbots is driving rapid advancements and innovation in the field.

Originality/value
The originality of this paper lies in its analysis of Google DeepMind’s Gemini and its potential impact on the information industry. It highlights the significance of AI-powered chatbots in transforming how users access and interact with information. This paper contributes to the existing literature by examining the competition in building AI tools and its implications for the future of the information industry. It offers insights into the motivation behind Google’s development of Gemini and its potential value in enhancing user experiences and driving monetization opportunities.
Recent advances in the treatment strategy for AAV improved outcomes with intensive GC tapering
Authors: Ono Nobuyuki , Kai Tatsuya , Takeyama Yukiko , Inoue Yasushi , Ueda Naoyasu , Nagano Shuji , Ohta Shunichiro , Inoue Hisako , Sawabe Takuya , Chifu Yutaka , Yoshizawa Seiji , Oryoji Kensuke , Kimoto Yasutaka , Miyake Katsuhisa , Ayano Masahiro , Mitoma Hiroki , Arinobu Yojiro , Miyamura Tomoya , Horiuchi Takahiko , Akashi Koichi , Tada Yoshifumi , Niiro Hiroaki 
Published: December 2023

AbstractObjectiveTo evaluate trends in results of care and management for antineutrophil cytoplasmic antibodies (ANCA)‐associated vasculitis (AAV).MethodsWe employed multicenter cohort data collected during 2011–2021, recruiting 43 patients with granulomatosis with polyangiitis (GPA) and 91 with microscopic polyangiitis (MPA). According to the median registration date of September 2015, patients have split into two groups: an early group and a late group (both of them, n = 67). To prevent bias, a propensity score according to numerous baseline characteristics variables was calculated; 50 matching members of each group were statistically extracted. Their treatments and clinical outcomes were examined at 6, 12, and 24 months after initial remission therapy.ResultsStatistics demonstrated that the baseline characteristics were similar. The late group used rituximab (RTX) more often for both remission induction and maintenance therapy, compared with the early group. The mean daily PSL doses of the late group were significantly lower than those of early group at each time point. The late group discontinued PSL 14.0% at 12 months and 23.3% at 24 months. Despite their intensive glucocorticoids (GC) tapering, the remission rates and the relapse rates were significantly fairer in the late group. The Vasculitis Damage Index (VDI) and VDI due to GC at each time point were lower in the late group, and those differences had become wider over time.ConclusionRecent developments in AAV treatment have allowed efficient remission and prevention of relapses, which in turn enabled extensive GC tapering causing fewer sequelae.
Trust and corporate debt maturity mismatch: Evidence from China
Authors: Wang Xiao Chi , Hao Wei , Fang Jiali , Wu Ji (George) , Zou Liping 
Published: December 2023

AbstractThis study explores the relationship between social trust and firm debt maturity mismatch in the Chinese context. Additionally, we investigate the economic mechanisms through which social trust affects debt maturity mismatch, and the differential roles played by social trust among firms with different characteristics. We employ enterprise trustworthiness scores and provincial blood donation rates as our measures of regional social trust level and find a negative relationship between local trust and firm debt maturity mismatch, suggesting that social trust which promotes ethical norms acts as a restraint on firms' propensity for excessive risk. An alternative but consistent explanation is higher social trust increases debtors' willingness to lend, hence it reduces firms' funding costs and consequently the potential cost‐saving motivation behind such a mismatch. We further document evidence that social trust improves the firm information environment and consequently risk‐taking and/or the ability to reduce funding costs. The study also reveals variations in the role of social trust based on firm characteristics, such as leverage and profitability, and the ownership structure (state‐owned enterprises vs. non‐state‐owned enterprises). The findings contribute to the literature by highlighting the increasing importance of social capital for policy and governance.
Comparative analysis of self‐cure and dual cure‐dental composites on their physico‐mechanical behaviour
Authors: Thadathil Varghese J , Raju R , Farrar P , Prentice L , Prusty BG 
Published: December 2023

AbstractBackgroundClinical practitioners may have become familiar with the rapid transformation of dental composites. However, they may not scientifically understand the factors influencing the mechanical and physical properties. Scientific knowledge of filler‐resin interaction can significantly improve clinical understanding of resin composites. Several independent studies have examined the mechanical and physico‐mechanical properties of dental resin composites; however, no comprehensive study has examined the influence of fillers and resin materials on the physico‐mechanical properties of both self‐cure and dual‐cure composites.MethodsThis study performed investigations on the physico‐mechanical behaviour of four commercially available dual‐cure dental composites (Bioactive, Fill Up!, Surefil One, Cention N) and two commercially available self‐cure dental composites (Stela Capsule and Stela Automix). Test specimens for flexural and compressive strength, microhardness, fracture toughness, and hydrolytic behaviour were prepared and tested as per respective standards. The data sets were statistically analysed using one‐way ANOVA and Tukey's post‐hoc comparison.ResultsThere was a substantial variation in flexural strength and modulus values in this study, ranging from 32.0 to 113.4 MPa and 2.36 to 12.07 GPa, respectively. Similarly, there were significant differences in compressive strength between the materials in this study, ranging from 119.3 to 223.5 MPa. The highest fracture toughness value was found to be 1.41 MPa.m0.5, while the lowest value was 0.43 MPa.m0.5. Variations in surface microhardness were significant (24.11–68.0 N/mm2), which correlated with the filler content. Water sorption and solubility demonstrated high variations among materials, with Surefil One exceeding ISO 4049 thresholds significantly.ConclusionsA linear correlation can be established between surface microhardness (HV) and flexural and compressive moduli, as well as filler content (wt.%). However, both flexural and compressive strengths are impacted by the resin's constituent monomers and the resin‐filler matrix's cross‐linking capability. Additionally, factors such as filler size, shape, and the cross‐linking ability of the resin‐filler matrix play a crucial role in fracture toughness and the propagation of cracks within the restoration. Also, resin monomers and filler particle size affect the hydrolytic degradation characteristics of composites, which can also affect their mechanical properties. © 2023 Australian Dental Association.
Single and longitudinal genome‐wide association studies for dairy traits available in goats with three recorded lactations
Authors: Luigi‐Sierra Maria Gracia , Martínez Amparo , Macri Martina , Delgado Juan Vicente , Castelló Anna , Alvarez Javier Fernández , Such Xavier , Jordana Jordi , Amills Marcel 
Published: December 2023

AbstractMilk yield and composition phenotypes are systematically recorded across several lactations in goats, but the majority of genome‐wide association studies (GWAS) performed so far have rather ignored the longitudinal nature of such data. Here, we have used two different GWAS approaches to analyse data from three lactations recorded in Murciano‐Granadina goats. In Analysis 1, independent GWAS have been carried out for each trait and lactation, while a single longitudinal GWAS, jointly considering all data, has been performed in Analysis 2. In both analyses, genome‐wide significant QTL for lactose percentage on chromosome 2 (129.77–131.01 Mb) and for milk protein percentage on the chromosome 6 (74.8–94.6 Mb) casein gene cluster region were detected. In Analysis 1, several QTL were not replicated in all three lactations, possibly due to the existence of lactation‐specific genetic determinants. In Analysis 2, we identified several genome‐wide significant QTL related to milk yield and protein content that were not uncovered in Analysis 1. The increased number of QTL identified in Analysis 2 suggests that the longitudinal GWAS is particularly well suited for the genetic analysis of dairy traits. Moreover, our data confirm that variability within or close to the casein complex is the main genetic determinant of milk protein percentage in Murciano‐Granadina goats.