bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Evolution and Epidemiology of H3N2 Canine Influenza Virus After 20 Years in Dogs
Authors: Wasik Brian R. , Damodaran Lambodhar , Maltepes Maria A. , Voorhees Ian E.H. , Leutenegger Christian M. , Newbury Sandra , Moncla Louise H. , Dalziel Benjamin D. , Goodman Laura B. , Parrish Colin R. 
Published: July 2024

ABSTRACTThe H3N2 canine influenza virus (CIV) emerged from an avian reservoir in Asia around 2004. As the virus has now been circulating entirely among dogs for 20 years, we here update our understanding of the evolution of virus in its new host. As a host-switched virus, H3N2 CIV will also reveal any host-adaptive changes arising during thousands of infections within its new host, and our analysis showed that the virus has evolved at a constant rate. CIV was first introduced into North America in 2015 from Korea, and we specifically examined the epidemiology of the virus among dogs in North America since then, including local outbreaks, regional die-outs, and repeated reintroduction from Asia. The H3N2 CIV now appears endemic only in China after dying out in South Korea around 2017. Virus lineages circulating in China appear to have seeded the most recent US outbreaks – with 2 or 3 introductions into North America during the past 3 years. Combining clinical reports, diagnostic testing data, and analysis of viral genomes we show that the virus spreads rapidly among dogs in kennels and shelters in different regions – likely dying out locally after all those animals become infected and immune. The overall epidemic therefore requires longer-distance dispersal of virus to initiate outbreaks in new locations. Patterns of spread in the USA may select viruses most adapted to those dense populations, which may lack the properties required for efficient long-distance transfers to other dog populations that would keep the virus in prolonged circulation.IMPORTANCEViruses occasionally jump into new hosts to cause epidemics and may spread widely due to movement of humans or animals, or their viruses, with profound consequences for global health. The emergence and epidemiology of new epidemic viruses in companion animals provides a model for understanding disease dynamics and evolution. The H3N2 canine influenza virus arose from an avian virus, and infected dogs provide many opportunities for human exposure. H3N2 CIV transmission is dominated by fast-moving outbreaks within dense populations in animal shelters or kennels, while sustaining the epidemic likely requires movement of virus to more distant dog populations. Viral spread within North Americahas only been sustained for a few years at a time after which the virus dies out. The epidemiological and evolutionary dynamics of this virus in this structured host population shows how an acute respiratory pathogen can emerge and spread in a new host and population.
Boson sampling with ultracold atoms in a programmable optical lattice
Authors: Robens Carsten , Arrazola Iñigo , Alt Wolfgang , Meschede Dieter , Lamata Lucas , Solano Enrique , Alberti Andrea 
Published: July 2024

Sampling from a quantum distribution can be exponentially hard for classical computers and yet could be performed efficiently by a noisy intermediate-scale quantum device. A prime example of a distribution that is hard to sample is given by the output states of a linear interferometer traversed by N identical boson particles. Here, we propose a scheme to implement such a boson-sampling machine with ultracold atoms in a polarization-synthesized optical lattice. We experimentally demonstrate the basic building block of such a machine by revealing the Hong-Ou-Mandel interference of two bosonic atoms in a four-mode interferometer. To estimate the sampling rate for large N, we develop a theoretical model based on a master equation that accounts for particle losses, but does not include technical errors. Our results show that atomic samplers have the potential to achieve a quantum advantage over today's best supercomputers with N≳40.

Published by the American Physical Society
2024
Self-regulation and panic buying: examining the brake mechanism effect on fear of missing out
Authors: Anisimova Tatiana , Billore Soniya , Kitchen Philip 
Published: July 2024

PurposeExtant research indicates that fear of missing out (FoMO) caused by the negative influence of media and word-of-mouth (WOM) leads to panic buying and generates a negative impact on consumer well-being. However, the mechanism that can minimise or abort this impact remains understudied. Therefore, in this study, we examine how consumer self-regulation functions as a brake mechanism to intervene with the negative influences of media and WOM on FoMO.Design/methodology/approachData were collected from a representative sample in Australia. Hypotheses were tested by applying generalised structural equation modelling (GSEM), and analysis was conducted using the statistical software Stata 17.FindingsSelf-regulation is negatively influenced by media channels and WOM but is positively influenced by media content. Consumer self-regulation acts as a brake mechanism for FoMO. Panic buying, which is triggered by FoMO, has a significant impact on negative emotional well-being.Research limitations/implicationsThe limitations of the study are associated with the survey data collection.Practical implicationsWe extend the knowledge of how self-regulation works as a brake mechanism for the complex FoMO construct consisting of a perception of missing out accompanied by irrational behaviours. Self-regulation emerges as a brake mechanism for FoMO. Hence, if self-regulation is practiced at the inception of the media and WOM exposure, it can counteract FoMO and potentially abort its’ impact on panic buying.Social implicationsFrom a practical perspective, policymakers could help emotionally vulnerable individuals better engage in self-control practices through support programmes and workshops aimed at assisting the public in coping with overwhelming and intense adverse emotions experienced during and following various crises. Vulnerable cohorts, particularly the younger generation who are arguably more susceptible to FoMO, need to be studied more thoroughly in the marketing domain.Originality/valueThe role of self-regulation has been studied thinly in marketing literature, particularly in relation to offsetting irrational consumer behaviours. The originality of our study is that it extends and broadens the understanding of the role of self-regulation in the context of pandemics and addresses the inconclusive evidence of the impact of self-regulation on FoMO.
Determinants for the desirability of public-private partnership mode in infrastructure development
Authors: Zhou Zhengyi 
Published: July 2024

PurposeThis paper studies the determinants for the desirability of the public-private partnership (PPP) mode in infrastructure development.Design/methodology/approachThe author manually collects data on over 12,000 PPP projects in China, and regard the successful transition and abnormal termination as signals for the mode’s desirability and undesirability, respectively. Then, guided by relevant theories in the literature, the author investigates the impact of various project characteristics on the projects’ successful transition and abnormal termination.FindingsFirst, execution-stage projects in industries where government support is indispensable, or where quality improvement is more important than cost reduction, face higher likelihood of abnormal termination. But such negative effects are mitigated if state-owned enterprises (SOEs) participate in the social party. Second, the structure of social party matters. The participation by private firms in the social party increases the termination likelihood, while the decentralization of the social party decreases it. Third, pre-execution projects with government payment or subsidies are more likely to enter into the execution stage.Practical implicationsRegulations on participation by SOEs in PPPs, such as policy [2023 No. 115] announced by State Council, should take industrial heterogeneity into consideration.Originality/valueUsing a large sample, the author empirically tests the seminal PPP-related theories in the literature. The author also uncovers some unique stylized facts about PPPs in China, especially the impact of SOE participation in the social party on PPP survival.
Unraveling the relationship between sustainability and returns: a multi-attribute utility analysis
Authors: Escobar-Anel Marcos , Jiao Yiyao 
Published: July 2024

PurposeThis study aims to establish an analytical framework to help investors accommodate their environmental, social, and corporate governance (ESG) preferences. The analytical solutions were complemented by empirical analyses to shed light on their benefits and tractability.Design/methodology/approachThis study proposes an expected multi-attribute utility analysis for ESG investors in which stocks can be treated as more green or less green (brown) than the market, represented by an index, all modeled in a one-factor structure. The solution is found via the Hamilton-Jacobi-Bellman (HJB) equation with proper treatment of various sources of risk. For the empirical analysis, we use the RepRisk Rating of US stocks from 2010 to 2020 to select companies that are representative of various ESG ratings.FindingsThis study finds closed-form solutions for optimal allocations, wealth and value functions. Our empirical analysis reveals drastic increases in wealth allocation toward high-rated ESG stocks for ESG-sensitive investors, even as the overall level of pecuniary satisfaction remains unchanged.Originality/valueThis study broadens the existing analytical framework by introducing a market portfolio along with green and brown stocks. As by-products, we first demonstrate that investors do not need to reduce their pecuniary satisfaction to increase green investment. Second, we propose a parameterization to capture investors' preferences for green assets over brown or market assets, independent of asset performance.
Crash and jackpot probability anomalies in the Chinese stock market
Authors: Fang Yi , Niu Hui 
Published: July 2024

PurposeInvestigation of the anomalies associated with crashes and jackpots in the Chinese stock market.Design/methodology/approachWe propose a logit model to predict the events of crashes and jackpots in the Chinese stock market. The model introduces a new variable of the price-to-sales ratio and takes into account the market states, Up and Down.FindingsThe anomalies associated with crashes and jackpots are not related to variations in economic conditions, but are associated with limits to arbitrage. High-liquidity stocks have strong mispricing effects. The institutions’ speculative trading will push liquid stock prices further away from their fundamentals but avoid buying illiquid stocks with a higher probability of price crashes and jackpots.Originality/valueWe propose a logit model to predict the extreme events of both crash and jackpot in the Chinese stock market. Our model effectively disentangles from CRASHP and JACKP. Compared with the traditional model, it substantially enhances in-sample and out-sample predictions. Based on the predictions of the extreme events, we find two strong and robust pricing effects associated with ex ante CRASHP and JACKP in the Chinese stock market.
Influence of platform governance and community diversity on users' value co-creation in sharing platform? Insights from China
Authors: Xiao Liang , Ke Tongping 
Published: July 2024

PurposeInstant crowdsourcing logistics (ICL) platform is an emerging business model in the field of logistics services. Crowdsourcees’ active participation in platform value co-creation is the key to success for this business model. This study aims to explore the influence of platform governance mechanisms on crowdsourcees’ participation in value co-creation on the platform.Design/methodology/approachBased on governance theory, this study constructed a model of the influence of platform governance mechanisms on crowdsourcees’ value co-creation intentions and discussed the role of community diversity in this model. The survey data of 319 collected from crowdsourcees on China’s well-known ICL platform were analyzed using a partial least squares structural equation model.FindingsThe results showed that platform governance mechanisms have a significant influence on crowdsourcees’ value co-creation intentions. Among them, the impact of the welfare resource support mechanism is the largest, followed by the reputation reward and punishment mechanism, while the price coordination mechanism has the least impact. Community diversity has a significant positive moderating effect on the welfare resource support mechanism and crowdsourcees’ value co-creation intentions, but not between other governance mechanisms and crowdsourcees’ value co-creation intentions.Originality/valueThe results provide references for ICL platform to develop a targeted governance mechanism to enhance the positive role of community diversity and reduce the negative impact.
Demystifying the time varying linkage among ESG compliant, fintech and artificial intelligence stocks
Authors: Tabassum Sabia , Dhillon Lakhwinder Kaur , Yadav Miklesh Prasad , Khan Khaliquzzaman , Saifi Mohd Afzal , Zulfikar Zehra 
Published: July 2024

Purpose
This paper aims to analyze the time-varying dynamic connectedness among environmental, social and governance (ESG)-compliant firms, Fintech-based firms and artificial intelligence (AI) firm’s stocks.

Design/methodology/approach
To examine the spillover from globally leading companies that systematically follow ESG reporting and standards into their financial books to top AI-based and Fintech-based companies, we use the daily observation extending from December 31, 2019 to October 9, 2023. For the empirical investigation, Diebold and Yilmaz (2012) model and Baruník and Křehlík (2018) model are employed.

Findings
An intriguing observation is found for both recipient and transmission as Northrop Grumman remains the least shock transmitter and receiver among all constituent markets irrespective of two different used models. On this note, Northrop Grumman can be classified among the safest stock comparatively which has to be held in short, medium and long run to mitigate the risk.

Originality/value
After extensive existing literature review and to the best of the authors knowledge, it is a novel study that examines the dynamic connectedness among ESG, Fintech and AI stocks covering two unprecedented events like the COVID-19 outbreak and the Russia–Ukraine invasion.
Promoting proactive helping behaviour: the role of positive psychological capital and emotional self-control
Authors: van Tonder Estelle , Petzer Daniel J. , Fullerton Sam 
Published: July 2024

Purpose
Customers’ proactive helping behaviours involving personal initiative taking may present an effective solution for assisting other customers in avoiding harmful brands. Accordingly, this study aims to propose a model explaining the role of positive psychological capital (self-efficacy and optimism) in influencing customers’ proactive helping behaviours involving personal initiative taking. The study additionally provides greater clarity regarding the moderating effect of emotional self-control within the suggested model.

Design/methodology/approach
Survey data were collected from 256 respondents in South Africa, who reported on their perceptions and the degree to which they engage in proactive helping behaviours to assist other customers in avoiding harmful brands. Hypotheses were tested using regression analysis.

Findings
General self-efficacy and social optimism influence customers’ proactive helping behaviours. Emotional self-control moderates the indirect effect of general self-efficacy on customers’ proactive helping behaviours through social optimism.

Research limitations/implications
Greater insight is obtained into the interplay between factors representing a positive psychological state and self-control of negative emotions and these factors’ effect on customers’ proactive helping behaviours involving personal initiative taking.

Originality/value
The research extends knowledge of proactive helping behaviours involving personal initiative taking to assist other customers in avoiding harmful brands and subsequently provides a baseline for further research in this regards. Practically, the research is useful to social agents of society concerned with promoting responsible purchasing practices.
Oil price uncertainty and corporate cash policy: does Islamic financial development matter?
Authors: Bugshan Abdullah 
Published: July 2024

PurposeThis study investigates the impact of oil price uncertainty on corporate cash holdings. Moreover, it examines whether the effect of oil price volatility differs between Shariah-compliant corporations (SCCs) and non-Shariah-compliant corporations (NSCs). It also explores the role of Islamic financial development in the home countries of these corporations in this relationshipDesign/methodology/approachThe study utilizes a sample of non-financial firms listed in eight emerging economies, for the period between 2013 and 2019. A static, ordinary least squares, and dynamic, Generalized Method of Moments models have been employed to test the hypotheses of the study.FindingsThe findings reveal that, on average, high oil price uncertainty influences both SCCs and NSCs. However, SCCs are more severely affected than NSCs. Notably, during periods of high oil price uncertainty, SCCs reserve more cash than their NSC counterparts. Additionally, the Islamic financial development of the country moderates the severity of the impact of oil price uncertainty on SCCs. Further analysis suggests that the impact of oil price uncertainty is more pronounced for firms operating in oil-exporting countries.Research limitations/implicationsCorporate managers should build a liquidity strategy that allows them to deal with oil price uncertainty. Also, the findings of the study highlight the importance for Islamic financial development of Islamic countries. The improved Islamic financial development of the country improves access to capital markets for shariah compliant firms and hence, reduces their need for holding excessive large amount of cash asset.Originality/valueThe study contributes to the growing literature on the effects of oil price uncertainty on corporate cash holding policy by highlighting the roles of Shariah compliance status and Islamic financial development in this relationship. It is the first to explore the joint relationship between oil price uncertainty, Shariah compliance, and corporate cash holding policy.
Does typicality matter in zero-waste apparel design? Exploring consumers' aesthetic preferences and purchase intentions
Authors: Michaelson Dawn M. , Kim Boowon , Chattaraman Veena 
Published: July 2024

PurposeThis study examines whether design typicality and the communication of the zero-waste concept as a sustainable practice impact consumers’ aesthetic preferences and purchase intentions for zero-waste apparel.Design/methodology/approachThe study employed a 2 (dress design: typical vs atypical) × 2 (dress length: long vs short) × 2 (zero-waste concept communication: present vs absent) mixed factorial experimental design with an online survey of 137 female consumers, ages 19–34.FindingsRespondents rated typical zero-waste design dresses significantly higher than atypical dresses for aesthetic preferences and purchase intentions. Further, the zero-waste design concept did not affect this typicality-based preference or purchase intention for zero-waste dresses. They also demonstrated greater overall aesthetic preferences for long than short zero-waste dresses. Design typicality moderated this effect such that aesthetic preferences and purchase intentions were greater for long than short-length dresses when the zero-waste dress design was typical. When the design was atypical, purchase intentions were greater for short than long dresses.Research limitations/implicationsTypicality is critical in consumers’ aesthetic preferences and purchase intentions for zero-waste apparel.Originality/valueThe study focused on zero-waste dress typicality as a critical factor in consumers’ preference formation and purchase intentions. Additionally, it investigated dress length preferences within typical and atypical designs.
Technological management capabilities as a pathway toward green production and green competitive advantage
Authors: Waqas Muhammad , Meng Qingfeng , Khan Syed Abdul Rehman , Hussain Kramat 
Published: July 2024

PurposeOrganizations' technological management capabilities (TMC) have emerged as a powerful tool to enable manufacturing firms to deal with environmental issues. This empirical investigation aims to introduce and validate a novel conceptual framework that seeks to uncover the latent relationships among the selected constructs of this study. Organizational TMC could enhance green production (GP) and reinforce the green competitive advantage (GCA) among manufacturing firms. Therefore, this research investigates the role of TMC of firms such as artificial intelligence capability (AIC), big data analytics capability (BDAC) and Internet of things capability (IOTC) in reshaping green innovation (RGI), employee development (ED), GP and GCA.Design/methodology/approachThe Partial Least Squares-Structural Equation Modeling was proposed to test and validate this research’s conceptual model using 463 valid responses from manufacturing under the China–Pakistan Economic Corridor (CPEC) umbrella.FindingsOur statistical findings confirmed that TMCs such as AIC, BDAC and IOTC supported the GP and CGA. ED and RGI positively correlated to GP. The hypotheses testing results also confirmed the mediating role of ED, RGI and GP and the moderating role of green firm innovativeness capability (GFIC) in the underdeveloped context of the manufacturing industry under the CPEC.Originality/valueMoreover, the statistical findings of this study extend the existing literature by validating the possible direct, indirect/mediation and indirect/moderation relationship between TMC and GCA.
Pricing decision of service systems based on the combined effect of multiple customer psychology
Authors: Jiang Tao , Zhang Zitong 
Published: July 2024

PurposeCustomers will develop a stronger desire to purchase when more people are waiting in line for service due to the herding effect. However, this also leads to longer queue times, causing customers to experience a waiting patience time. This study examines these two psychological aspects of delay-sensitive customers in service systems, considering both homogeneous and heterogeneous customer scenarios to explore the optimal pricing strategy for service providers.Design/methodology/approachUsing queueing theory, we construct and optimally solve the customer's service utility function and the service provider's service revenue function. Further, the model is extended to account for heterogeneous customers, solving the utility and revenue functions accordingly.FindingsResults show that service revenue increases with the intensity of herding behavior and the length of patience time. If customers have low herding intensity and short patience time, the service provider only needs to serve a portion of the customers. For heterogeneous customers, if a large proportion exhibits high herding intensity, the service provider should focus on serving them. Otherwise, the service provider should serve all high-intensity herding customers while striving to attract low-intensity herding customers.Originality/valueThis paper considers the combined utility of multiple customer psychology and examines homogeneous and heterogeneous customers. The findings provide valuable managerial insights for service providers' pricing and service strategies.