bluuebunny/crossref_metadata_2025 huggingface dataset:
Flavor composition of ultrahigh-energy cosmic neutrinos: Measurement forecasts for in-ice radio-based EeV neutrino telescopes
Authors: Coleman Alan , Ericsson Oscar , Glaser Christian , Bustamante Mauricio
Published: July 2024

In-ice radio detection is a promising technique to discover and characterize ultrahigh-energy (UHE) neutrinos, with energies above 1017  eV, adopted by present—ARA, ARIANNA, and RNO-G—and planned—IceCube-Gen2—experiments. So far, their ability to measure neutrino flavor had remained unexplored. We show and quantify how the neutrino flavor can be measured with in-ice radio detectors using two complementary detection channels. The first channel, sensitive to νe, identifies them via their charged-current interactions, whose radio emission is elongated in time due to the Landau-Pomeranchuk-Migdal effect. The second channel, sensitive to νμ and ντ, identifies events made up of multiple showers generated by the muons and taus they generate. We show this in state-of-the-art forecasts geared at IceCube-Gen2, for representative choices of the UHE neutrino flux. This newfound sensitivity could allow us to infer the UHE neutrino flavor composition at their sources—and thus the neutrino production mechanism—and to probe UHE neutrino physics.

Published by the American Physical Society
2024
Global topological synchronization of weighted simplicial complexes
Authors: Wang Runyue , Muolo Riccardo , Carletti Timoteo , Bianconi Ginestra
Published: July 2024

Higher-order networks are able to capture the many-body interactions present in complex systems and to unveil fundamental phenomena revealing the rich interplay between topology, geometry, and dynamics. Simplicial complexes are higher-order networks that encode higher-order topology and dynamics of complex systems. Specifically, simplicial complexes can sustain topological signals, i.e., dynamical variables not only defined on nodes of the network but also on their edges, triangles, and so on. Topological signals can undergo collective phenomena such as synchronization, however, only some higher-order network topologies can sustain global synchronization of topological signals. Here we consider global topological synchronization of topological signals on weighted simplicial complexes. We demonstrate that topological signals can globally synchronize on weighted simplicial complexes, even if they are odd-dimensional, e.g., edge signals, thus overcoming a limitation of the unweighted case. These results thus demonstrate that weighted simplicial complexes are more advantageous for observing these collective phenomena than their unweighted counterpart. In particular, we present two weighted simplicial complexes: the weighted triangulated torus and the weighted waffle. We completely characterize their higher-order spectral properties and demonstrate that, under suitable conditions on their weights, they can sustain global synchronization of edge signals. Our results are interpreted geometrically by showing, among the other results, that in some cases edge weights can be associated with the lengths of the sides of curved simplices.

Published by the American Physical Society
2024
Evidence-Based Certification of Quantum Dimensions
Authors: Teo Y. S. , Shringarpure S. U. , Jeong H. , Prasannan N. , Brecht B. , Silberhorn C. , Evans M. , Mogilevtsev D. , Sánchez-Soto L. L.
Published: July 2024

Identifying a reasonably small Hilbert space that completely describes an unknown quantum state is crucial for efficient quantum information processing. We introduce a general dimension-certification protocol for both discrete and continuous variables that is fully evidence based, relying solely on the experimental data collected and no other unjustified assumptions whatsoever. Using the Bayesian concept of relative belief, we take the effective dimension of the state as the smallest one such that the posterior probability is larger than the prior, as dictated by the data. The posterior probabilities associated with the relative-belief ratios measure the strength of the evidence provide by these ratios so that we can assess whether there is weak or strong evidence in favor or against a particular dimension. Using experimental data from spectral-temporal and polarimetry measurements, we demonstrate how to correctly assign Bayesian plausible error bars for the obtained effective dimensions. This makes relative belief a conservative and easy-to-use model-selection method for any experiment.

Published by the American Physical Society
2024
Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
Authors: Haug Tobias , Kim M. S.
Published: July 2024

Generalization is the ability of machine learning models to make accurate predictions on new data by learning from training data. However, understanding generalization of quantum machine learning models has been a major challenge. Here, we introduce the data quantum Fisher information metric (DQFIM). It describes the capacity of variational quantum algorithms depending on variational ansatz, training data, and their symmetries. We apply the DQFIM to quantify circuit parameters and training data needed to successfully train and generalize. Using the dynamical Lie algebra, we explain how to generalize using a low number of training states. Counterintuitively, breaking symmetries of the training data can help to improve generalization. Finally, we find that out-of-distribution generalization, where training and testing data are drawn from different data distributions, can be better than using the same distribution. Our work provides a useful framework to explore the power of quantum machine learning models.

Published by the American Physical Society
2024
Experimental Search for Invisible Dark Matter Axions around
22  μeV
Authors: Kim Younggeun , Jeong Junu , Youn SungWoo , Bae Sungjae , Lee Kiwoong , van Loo Arjan F. , Nakamura Yasunobu , Oh Seonjeong , Seong Taehyeon , Uchaikin Sergey , Kim Jihn E. , Semertzidis Yannis K.
Published: July 2024

The axion has emerged as the most attractive solution to two fundamental questions in modern physics related to the charge-parity invariance in strong interactions and the invisible matter component of our Universe. Over the past decade, there have been many theoretical efforts to constrain the axion mass based on various cosmological assumptions. Interestingly, different approaches from independent groups produce good overlap between 20 and 30  μeV. We performed an experimental search to probe the presence of dark matter axions within this particular mass region. The experiment utilized a multicell cavity haloscope embedded in a 12 T magnetic field to seek for microwave signals induced by the axion-photon coupling. The results ruled out the KSVZ axions as dark matter over a mass range between 21.86 and 22.00  μeV at a 90% confidence level. This represents a sensitive experimental search guided by specific theoretical predictions.

Published by the American Physical Society
2024
Superfluid rings as quantum pendulums
Authors: Muñoz Mateo Antonio , Astrakharchik Grigory E. , Juliá-Díaz Bruno
Published: July 2024

A nondispersive quantum pendulum is presented. The proposed setup consists of an ultracold atomic cloud, featuring attractive interatomic interactions, loaded into a tilted ring potential. The classical and quantum domains are switched on by tuned interactions, and the classical dynamical stabilization of unstable states, i.e., à la Kapitza, is shown to be driven by quantum phase imprinting. One potential application of this system as a gravimeter is discussed.

Published by the American Physical Society
2024
Comparing parameter-reduction methods on a biophysical model of an auditory hair cell
Authors: Marcinik Joseph M. , Toderi Martín A. , Bozovic Dolores
Published: July 2024

Biophysical models describing complex cellular phenomena typically include systems of nonlinear differential equations with many free parameters. While experimental measurements can fix some parameters, those describing internal cellular processes frequently remain inaccessible. Hence, a proliferation of free parameters risks overfitting the data, limiting the model's predictive power. In this study, we develop systematic methods, applying statistical analysis and dynamical-systems theory, to reduce parameter count in a biophysical model. We demonstrate our techniques on a five-variable computational model designed to describe active, mechanical motility of auditory hair cells. Specifically, we use two statistical measures, the total-effect and PAWN indices, to rank each free parameter by its influence on selected, core properties of the model. With the resulting ranking, we fix most of the less influential parameters, yielding a five-parameter model with refined predictive power. We validate the theoretical model with experimental recordings of active hair-bundle motility, specifically by using Akaike and Bayesian information criteria after obtaining maximum-likelihood fits. As a result, we determine the system's most influential parameters, which illuminate the key biophysical elements of the cell's overall features. Even though we demonstrate with a concrete example, our techniques provide a general framework, applicable to other biophysical systems.

Published by the American Physical Society
2024
Synthesis, crystal structure and Hirshfeld surface analysis of [1-(4-bromophenyl)-1H-1,2,3-triazol-4-yl]methyl 2-(4-nitrophenoxy)acetate
Authors: Hakimov Muminjon , Khozhimatova Shakhnoza , Ortikov Ilkhomjon , Abdugafurov Ibragimdjan , Tojiboev Akmaljon
Published: July 2024

The title compound, C17H13BrN4O5, was synthesized by a Cu2Br2-catalysed Meldal–Sharpless reaction between 4-nitrophenoxyacetic acid propargyl ether and para-bromophenylazide, and characterized by X-ray structure determination and 1H NMR spectroscopy. The molecules, with a near-perpendicular orientation of the bromophenyl-triazole and nitrophenoxyacetate fragments, are connected into a three-dimensional network by intermolecular C—H...O and C—H...N hydrogen bonds (confirmed by Hirshfeld surface analysis), π–π and Br–π interactions.
Assessing the extent of exchange rate risk pricing in equity markets: emerging versus developed economies
Authors: Bonga-Bonga Lumengo , Mpoha Salifya
Published: July 2024

Purpose

This paper contributes to the literature on exchange rate exposure by assessing the extent to which exchange rate risk is priced in both African emerging and developed equity markets. It examines whether this risk leads to a premium or discount in market returns. The study uses the United States and South Africa as representatives for developed and emerging economies, respectively.

Design/methodology/approach

The paper employs two-factor and three-factor conditional CAPM approaches with a two-stage estimation process. In the first stage, time-varying risk exposures are derived using the ICAPM model estimated through rolling regression. In the second stage, the impact of these risk exposures, particularly exchange rate risk exposure, is assessed on stock market returns using Generalized Linear Model (GLM) regression.

Findings

Unlike previous studies that suggest exchange rate risk is not necessarily priced in the equity market due to hedging, this paper finds that exchange rate risk is indeed priced in both African and developed equity markets, albeit to different extents. The African equity market demands a higher premium compared to the developed equity market.

Practical implications

The findings of this paper have significant implications for policymakers, asset managers, and investors. They provide insights for making more informed decisions, implementing effective risk management strategies, and fostering a more stable and appealing investment environment.

Originality/value

To the best of our knowledge, this is the first study to evaluate the degree of exchange rate exposure in environments characterized by high currency volatility versus those with low volatility, all within the context of the conditional ICAPM model.
Decision-making frameworks in additive manufacturing management: mapping present landscape and establishing future research avenues
Authors: Ghuge Sagar , Akarte Milind , Raut Rakesh
Published: July 2024

Purpose

The study aims to explore the available academic literature on the decision-making frameworks used in additive manufacturing management (AMM).

Design/methodology/approach

This research formulates a systematic literature review to determine the research trend of the decision-making framework in AMM. Further, the theory, context, characteristics, and methodology (TCCM) framework is used to identify the research gaps and suggest future research directions.

Findings

The systematic literature review (SLR) delves into overarching research themes within decision-making frameworks in AMM. Additionally, it uncovers trends in article publication, geographical distribution, methodologies utilized, and industry applications. This review not only reveals research gaps but also proposes directions for future exploration.

Originality/value

The key novelty of this research lies in revealing the five most contributing themes of decision-making frameworks in AMM, with the highest contributing theme being AM process selection, followed by part selection for AM. This finding enables decision-makers to make informed decisions to address similar problems while exploring AM technology. Moreover, this research introduces an AM part fabrication roadmap inspired by the literature review. Lastly, the paper highlights key research gaps for future research.
Automatic monitoring the risk coupling of foundation pits: integrated point cloud, computer vision and Bayesian networks approach
Authors: Li Xuelai , Yang Xincong , Feng Kailun , Liu Changyong
Published: July 2024

Purpose

Manual monitoring is a conventional method for monitoring and managing construction safety risks. However, construction sites involve risk coupling - a phenomenon in which multiple safety risk factors occur at the same time and amplify the probability of construction accidents. It is challenging to manually monitor safety risks that occur simultaneously at different times and locations, especially considering the limitations of risk manager’s expertise and human capacity.

Design/methodology/approach

To address this challenge, an automatic approach that integrates point cloud, computer vision technologies, and Bayesian networks for simultaneous monitoring and evaluation of multiple on-site construction risks is proposed. This approach supports the identification of risk couplings and decision-making process through a system that combines real-time monitoring of multiple safety risks with expert knowledge. The proposed approach was applied to a foundation project, from laboratory experiments to a real-world case application.

Findings

In the laboratory experiment, the proposed approach effectively monitored and assessed the interdependent risks coupling in foundation pit construction. In the real-world case, the proposed approach shows good adaptability to the actual construction application.

Originality/value

The core contribution of this study lies in the combination of an automatic monitoring method with an expert knowledge system to quantitatively assess the impact of risk coupling. This approach offers a valuable tool for risk managers in foundation pit construction, promoting a proactive and informed risk coupling management strategy.
Balancing the performance benefits and health costs of leader high performance expectations: the role of servant leadership
Authors: Wang Zhen , Chen Huan
Published: July 2024

Purpose

Leader high performance expectation (LHPE) as a performance management practice is becoming more common in today’s business environment, with managers setting ambitious goals to motivate employees to excel at their jobs. This study aims to critically examine LHPE as a performance management practice within contemporary organizations, focusing on whether LHPE has opposing effects on employee performance and health, as well as how servant leadership can improve the benefits of LHPE while lowering its costs.

Design/methodology/approach

A path analysis of data from a three-wave survey of 416 full-time employees was used to test our hypotheses.

Findings

LHPE has opposing effects on employees via two distinct pathways: motivational effects on employee performance via harmonious work passion and strain effects on employee health via work strain. In the face of LHPE, servant leadership can assist in achieving a mutual gain between employee performance and health.

Originality/value

This study contributes uniquely to the field of employee relations by offering a comprehensive analysis of LHPE’s dual effects. It moves beyond traditional views that focus on singular outcomes, providing a deeper understanding of how LHPE can both motivate and strain employees. Highlighting servant leadership’s role signifies a novel approach to managing LHPE’s complexities, presenting valuable insights for HR practitioners and organizational leaders. This research underlines the importance of balancing performance expectations with employee well-being, aligning with modern perspectives on positive employment relationships.
Unraveling the nexus: exploring the interplay of mass media, personality traits and social norms in fostering protective behavior against smog
Authors: Iftikhar Moneeba , Yousaf Muhammad , Raza Syed Hassan , Zaman Umer , Ogadimma Emenyeonu C.
Published: July 2024

Purpose

The rise in industrialization, economic development and urbanization has altered the composition of atmospheric air. Air pollutants have significantly impacted Pakistan's urban areas, resulting in the lowest air quality index readings. To understand disinclined behavior such as using air purifiers and wearing masks, this study aims to explore the relationship between individual personality traits and mass media effects.

Design/methodology/approach

This study used a cross-sectional survey with a model based on previous theories. Data from 2,000 adults were self-administered and analyzed using partial least squares structural equation modeling (PLS-SEM).

Findings

PLS-SEM confirmed six hypotheses, revealing mass media's direct and mediating roles in promoting critical psychological perceptions for protective behavior. The empirical results indicate that neuroticism, agreeableness and openness traits reinforce adherence behavior by intensifying threat perception.

Practical implications

This paper highlights significant implications for media campaign planners and provides more precise and comprehensive theoretical guidance. In the context of environmental challenges like smog, the findings illustrate how an understanding of personality traits can improve the efficacy of public health interventions through adherence to behaviors like mask-wearing and air purifier use. Addressing individual psychological characteristics when creating mass media campaigns to encourage public adherence to health protection measures related to environmental hazards.

Originality/value

Despite health campaigns and awareness, public compliance with measures like mask-wearing and air purifier use remains minimal. This study explores untapped mass media effects based on individual personality traits to understand this behavior.
Suddenly 50: the aging workforce and its relationship with the company
Authors: Lima Aline Zanini , Amorim Wilson Aparecido Costa de
Published: July 2024

Purpose

This paper aims to discuss the findings of a study to identify the characteristics of organizations that implement policies and practices to attract and retain older workers.

Design/methodology/approach

This exploratory and descriptive research adopts a quantitative approach. The data analyzed were gathered from the database compiled during the 2020 edition of the “FIA – Employee Experience” survey. Notably, it identified the top 100 companies prioritizing investment in human resources policies and practices, awarding the “Amazing Places to Work” prize to those demonstrating the highest indices.

Findings

The findings highlight the proactive stance of both national and multinational companies, typically falling within the medium to large size category, in implementing strategies to attract and retain an aging workforce. These companies predominantly employ individuals with high school education and undertake affirmative action, targeting at least four other minority groups alongside older workers.

Practical implications

The insights provided in this article regarding the strategies and initiatives implemented to attract and retain older workers can empower other interested companies to enhance their preparedness in addressing the demographic shift toward an aging Brazilian workforce.

Originality/value

The analysis of the findings contributes to advancing understanding of the relationship between organizations and older workers, an area that remains underexplored in Brazil and worldwide. Furthermore, it furnishes insights into the specific policies and practices adopted by these organizations, equipping interested companies with knowledge to address the challenge of adapting to Brazil’s aging workforce.
Exploring the role of psychological ownership toward organizational innovation in family businesses
Authors: Dey Chanchal , Fasbender Ulrike
Published: July 2024

Purpose

The purpose of this study is to understand the link between psychological ownership and organizational innovation in family businesses. The research also explored the mediating effect of knowledge transfer alongside the moderating role of governance practices.

Design/methodology/approach

A total of 116 family businesses across India took part in the study. Data were collected with the help of a structured questionnaire supplied to the seniormost family member of each firm. The data were analyzed by using the moderated mediation model analysis in R.

Findings

The findings indicate that psychological ownership is a key driver of organizational innovation in family businesses. The transfer of knowledge mediates the relationship between psychological ownership and organizational innovation. Moreover, governance practices of the businesses moderate the association between psychological ownership and knowledge transfer, and its downstream consequences on organizational innovation.

Originality/value

While previous research has explored various aspects of nurturing innovation, the present study explores the effect of psychological ownership in the context of family businesses in India. This study also gives insights into how knowledge transfer and governance practices work together to influence innovation in these businesses.
Risk assessment for 3D printing in construction projects
Authors: Ahmed Salma , Romdhane Lotfi , El-Sayegh Sameh Monir , Manjikian Solair
Published: July 2024

Purpose

The purpose of this study is to identify and assess new risks in construction projects that use 3D printing.

Design/methodology/approach

A mixed approach of both qualitative and quantitative methods was used. Literature review was conducted to extract 30 risks of 3D printing in construction. A survey was then developed to assess the probability and impact of these risks. In total, 37 respondents, who have experience and/or knowledge of 3D printing, completed the survey. The risk priority was calculated using a fuzzy logic approach. The main benefit of the proposed model is being able to use numerical and linguistic data in the risk assessment model.

Findings

The results show that the main risks, in terms of priority, are lack of codes and regulations for 3D printing in construction, delay in government approvals, shortage in labour skilled in 3D printed construction, lack of knowledge and information of 3D printed design concepts and changes in 3D construction codes and regulations.

Originality/value

This paper fills an identified gap in the literature related to 3D printing in construction and provides insights into the key risks affecting this disruptive technology.
Tourism live streamers as brand ambassadors: investigating their impact on destination brand value through social exchange theory
Authors: Xiao Guangyu , Lee Minwoo , Lee Choong-Ki , Kim Minseong
Published: July 2024

Purpose

This study aims to identify the key characteristics of tourism live streamers (TLSers) that influence target consumers and examine how these characteristics enhance destination brand value by stimulating consumer emotional engagement and value co-creation behaviors.

Design/methodology/approach

A questionnaire survey was conducted with 552 respondents who had viewed tourism live streaming in China. The data were analyzed using structural equation modeling.

Findings

The results revealed that TLSers’ expertise had the strongest influence on consumers and positively affected their attachment, trust, participation and citizenship behaviors and perceived destination brand value. Attractiveness and trustworthiness exerted positive but weaker effects on these variables.

Originality/value

This study contributes to the theoretical development of live-streaming research by demonstrating the distinct impacts of TLSer characteristics. Furthermore, this study expands the application of the social exchange theory and value co-creation in tourism research.
Predicting the financial performance of microfinance institutions with machine learning techniques
Authors: Ting Tang , Mia Md Aslam , Hossain Md Imran , Wah Khaw Khai
Published: July 2024

Purpose

Given the growing emphasis among scholars, practitioners and policymakers on financial sustainability, this study aims to explore the applicability of machine learning techniques in predicting the financial performance of microfinance institutions (MFIs).

Design/methodology/approach

This study gathered 9,059 firm-year observations spanning from 2003 to 2018 from the World Bank's Mix Market database. To predict the financial performance of MFIs, the authors applied a range of machine learning regression approaches to both training and testing data sets. These included linear regression, partial least squares, linear regression with stepwise selection, elastic net, random forest, quantile random forest, Bayesian ridge regression, K-Nearest Neighbors and support vector regression. All models were implemented using Python.

Findings

The findings revealed the random forest model as the most suitable choice, outperforming the other models considered. The effectiveness of the random forest model varied depending on specific scenarios, particularly the balance between training and testing data set proportions. More importantly, the results identified operational self-sufficiency as the most critical factor influencing the financial performance of MFIs.

Research limitations/implications

This study leveraged machine learning on a well-defined data set to identify the factors predicting the financial performance of MFIs. These insights offer valuable guidance for MFIs aiming to predict their long-term financial sustainability. Investors and donors can also use these findings to make informed decisions when selecting their potential recipients. Furthermore, practitioners and policymakers can use these findings to identify potential financial performance vulnerabilities.

Originality/value

This study stands out by using a global data set to investigate the best model for predicting the financial performance of MFIs, a relatively scarce subject in the existing microfinance literature. Moreover, it uses advanced machine learning techniques to gain a deeper understanding of the factors affecting the financial performance of MFIs.
Employees’ attitudinal reactions to supervisors’ weekly taking charge behavior: the moderating role of employees’ proactive personality
Authors: Guzman Felipe A. , Hamstra Melvyn R.W. , Escribano Pablo Ignacio , Fu Xin
Published: July 2024

Purpose

Researchers have studied supervisors’ proactive personality in its relationship with employees’ attitudes. However, little attention has been given to how employees react to instances of supervisors’ proactive behavior. Drawing from P-E fit theory, we propose that the relationship between supervisor weekly taking charge behavior (TCB, the quintessential proactive behavior) and employees’ weekly job attitudes depends on employees’ proactive personality.

Design/methodology/approach

Utilizing a diary study, we investigate how employees’ proactive personality moderates the within-person relationship between supervisor TCB and employees’ attitudes (measured as job satisfaction and affective commitment). We surveyed 39 employees ten times over ten weeks.

Findings

Multi-level analyses partially supported our predictions on the differential effects of weekly supervisor TCB on employees’ job attitudes. Supervisors’ above-average TCB was significantly related to higher levels of employees’ job satisfaction and marginally related to affective commitment for employees with high proactive personality, but not for those with low proactive personality. Supplemental analyses revealed that our results are unique to supervisor TCB and not to supervisor helping behavior.

Originality/value

Our study is among the first to utilize a dynamic approach to understand the consequences of supervisors’ proactive work behavior in the context of P-E fit research. Our findings will open several fruitful avenues for future research that continue to understand the powerful effects of supervisors’ proactivity.
Understanding national brand customer erosion: exploring socio-demographic and weight of purchase factors
Authors: Holgado-Herrero José Miguel , Rondan-Cataluña F. Javier , Barroso-Castro Carmen , Galán-González José Luís
Published: July 2024

Purpose

The purpose of this study is to explore brand customer erosion at both the category and brand levels while considering consumer socio-demographic characteristics and weight of purchase factors.

Design/methodology/approach

Data from 3,563 buyers encompassing 20,601 purchases were collected from a prominent household data panel.

Findings

Brand customer erosion varies depending on socio-demographic factors (householder age, family size, life cycle and social class) and weight of purchase; variations are evident depending on the specific brand.

Originality/value

The paper makes a substantial contribution to the established fields of marketing and consumer behavior literature by opening a new line of research. It does so by demonstrating, the impact of socio-demographic factors on customer erosion. Simultaneously, it presents results that contradict the limited existing research on the influence of weight of purchase on brand customer erosion.
Institutional pressures and greenwashing in social responsibility: reversing the link with hybridization capability
Authors: Can Ozge , Turker Duygu
Published: July 2024

Purpose

Despite the ongoing scholarly interest in greenwashing, it is not well known the impact of multiple institutional pressures on greenwashing in corporate social responsibility (CSR). Following the institutional logics perspective, this study investigates how three distinct logics – commercial, public, and social welfare – drive greenwashing and whether organizational capability for blending diverse CSR expectations reverses this link.

Design/methodology/approach

The current study conceptualized and tested an original model on how three institutional logics influence greenwashing in CSR, with the mediation effect of hybridization capability as a response to logic plurality. Partial least squares structural equation modeling was performed on a survey data, which was collected from 150 middle managers in Turkey.

Findings

The results show that while commercial logic has no direct or indirect impact on greenwashing, public and social welfare logics drive greenwashing in CSR. However, these effects are reversed when the CSR hybridization capability increases.

Practical implications

This study contributes to the understanding of what predicts CSR greenwashing by integrating a comprehensive theoretical framework involving multiple institutional logics, conflicting stakeholder demands, and organizational hybridity.

Originality/value

To the best of our knowledge, this is the first study that theoretically and empirically analyzed how the exposure of multiple external pressures affects the CSR greenwashing and how it can be reversed by CSR hybridization capability. This capability mitigates the threats and challenges of multiple logics and turns them into an opportunity to gain legitimacy in the eyes of stakeholders by preventing greenwashing.
All about Social Coupons! Evolution, Review and Research Directions
Authors: Ram Pappu Kalyan , Pandey Neeraj , Paul Justin
Published: July 2024

Purpose

A novel phenomenon in product and service promotions, social coupons facilitate group buying at lower prices, bringing key benefits to customers, merchants and coupon aggregators. This study maps the evolution and innovations in social couponing, identifies knowledge gaps in the domain and sets the future research agenda.

Design/methodology/approach

Through a detailed systematic literature review and bibliometric analysis, this study maps the evolution of social coupons over time. The analysis examines social coupon research by studying research outputs by authors, institutes, countries and research themes. It also explores how the social couponing phenomenon has benefited the three key stakeholders: customers, merchants and coupon aggregators.

Findings

An innovation in couponing, social coupons are discount coupons that feature group buying, pre-purchase and daily deals. Based on the extensive review of extant literature, the study proposes a conceptual model for the social couponing process. The study also provides inputs for future research on social coupons and delineates their academic and managerial implications.

Originality/value

This study makes a pioneering endeavor to comprehensively map the knowledge structure of social coupons from multiple dimensions.
Livestreamed tourism shopping: consumers’ attitudes and behaviors
Authors: Liu Chun , Zhao Qi , Gursoy Dogan , Zheng Hong
Published: July 2024

Purpose

This study aims to investigate how source attractiveness (including platform credibility, product appeal and streamer attractiveness) and information quality impact viewers’ cognition and flow state. Additionally, it examines how these factors influence the development of consumer attitudes and behaviors toward livestreamed tourism shopping, as well as the moderating roles of perceived risk and personal characteristics.

Design/methodology/approach

A sequential mixed-methods research design was used. In addition to a literature review, 15 interviews were conducted to identify measurement items for the subsequent questionnaire survey. Sample 1 (n = 209) was used to refine these measurement items, whereas Sample 2 (n = 227) was used to evaluate the measurement model and test the proposed hypotheses.

Findings

Findings reveal that source attractiveness (streamer attractiveness, tourism product attractiveness and platform credibility) and information quality significantly influence customers’ behavior formation, with cognition and flow state acting as mediators. Findings further confirm the moderating effect of perceived risk in a livestreamed shopping environment.

Practical implications

The findings provide new insights into how consumers select livestreamed shopping platforms. As viewers assess the credibility and trustworthiness of each component to form their perception of the overall platform’s credibility, companies should market their products through credible platforms, studios and stores with extensive reach. It is also critical to collaborate with streamers who are sincere, trustworthy, knowledgeable and professional. Since perceived risk lowers consumer behavioral intentions, live streamers, platforms and merchants should offer convincing and credible arguments to alleviate viewers’ perceived risks.

Originality/value

This study advances the literature on livestreamed shopping by broadening the conceptualization of source attractiveness to include three dimensions: streamer attractiveness, product attractiveness and platform attractiveness. Furthermore, it differentiates itself from existing studies by integrating and adopting multidimensional measurements of cognition (perceived usefulness and ease of use) and flow state (control, enjoyment, curiosity and concentration).
Hydrocarbon Generation Potential and Organic Matter Enrichment Mechanism of the Cambrian Marine Shale in the Tadong Low Uplift, Tarim Basin
Authors: MIAO Huan , WANG Yanbin , JIANG Zhenxue , ZHAO Shihu , SHANG Peng , GONG Xun , TAO Chuanqi , ZHANG Yu
Published: July 2024

Cambrian shales in China and elsewhere contain abundant oil and gas resources. However, due to its deep burial and limited outcrop, there has been relatively little research conducted on it. The Cambrian shale of the Tadong low uplift in the Tarim Basin of western China, specifically the Xidashan–Xishanbulake Formation (Fm.) and overlying Moheershan Fm. provide a case study through the use of organic petrology, mineralogy, organic and elemental geochemistry, with the aim of analyzing and exploring the hydrocarbon generation potential (PG) and organic matter (OM) enrichment mechanisms within these shale formations. The results indicate that: (1) the Cambrian shale of the Tadong low uplift exhibits relatively dispersed OM that consists of vitrinite‐like macerals and solid bitumen. These formations have a higher content of quartz and are primarily composed of silica‐based lithology; (2) shale samples from the Xidashan–Xishanbulake and Moheershan formations demonstrate high total organic carbon (TOC) and low pyrolytic hydrocarbon content (S2) content. The OM is predominantly type I and type II kerogens, indicating a high level of maturation in the wet gas period. These shales have undergone extensive hydrocarbon generation, showing characteristics of relatively poor PG; (3) the sedimentary environments of the Xidashan–Xishanbulake and Moheershan formations in the Tadong low uplift are similar. They were deposited in warm and humid climatic conditions, in oxygen‐deficient environments, with stable terrigenous inputs, high paleoproductivity, high paleosalinity, weak water‐holding capacity, and no significant hydrothermal activity; and (4) the relationship between TOC and the paleoproductivity parameter (P/Ti) is most significant in the Lower Cambrian Xidashan–Xishanbulake Fm., whereas correlation with other indicators is not evident. This suggests a productivity‐driven OM enrichment model, where input of land‐derived material was relatively small during the Middle Cambrian, and the ancient water exhibited lower salinity. A comprehensive pattern was formed under the combined control of paleoproductivity and preservation conditions. This study provides valuable guidance for oil and gas exploration in the Tarim Basin.
Seasonal and interannual variability of the free‐living and particle‐associated bacteria of a coastal microbiome
Authors: Ferrera Isabel , Auladell Adrià , Balagué Vanessa , Reñé Albert , Garcés Esther , Massana Ramon , Gasol Josep M.
Published: July 2024

Marine microbial communities differ genetically, metabolically, and ecologically according to their lifestyle, and they may respond differently to environmental changes. In this study, we investigated the seasonal dynamics of bacterial assemblies in the free‐living (FL) and particle‐associated (PA) fractions across a span of 6 years in the Blanes Bay Microbial Observatory in the Northwestern Mediterranean. Both lifestyles showed marked seasonality. The trends in alpha diversity were similar, with lower values in spring–summer than in autumn‐winter. Samples from both fractions were grouped seasonally and the percentage of community variability explained by the measured environmental variables was comparable (32% in FL and 31% in PA). Canonical analyses showed that biotic interactions were determinants of bacterioplankton dynamics and that their relevance varies depending on lifestyles. Time‐decay curves confirmed a high degree of predictability in both fractions. Yet, ‘seasonal’ Amplicon Sequence Variants (ASVs) (as defined by Lomb Scargle time series analysis) in the PA communities represented 46% of the total relative abundance while these accounted for 30% in the FL fraction. These results demonstrate that bacteria inhabiting both fractions exhibit marked seasonality, highlighting the importance of accounting for both lifestyles to fully comprehend the dynamics of marine prokaryotic communities.
Sex‐specific growth and lifespan effects of germline removal in the dioecious nematode Caenorhabditis remanei
Authors: Lind Martin I. , Mautz Brian S. , Carlsson Hanne , Hinas Andrea , Gudmunds Erik , Maklakov Alexei A.
Published: July 2024

Germline regulates the expression of life‐history traits and mediates the trade‐off between reproduction and somatic maintenance. However, germline maintenance in itself can be costly, and the costs can vary between the sexes depending on the number of gametes produced across the lifetime. We tested this directly by germline ablation using glp‐1 RNA interference (RNAi) in a dioecious nematode Caenorhabditis remanei. Germline removal strongly increased heat‐shock resistance in both sexes, thus confirming the role of the germline in regulating somatic maintenance. However, germline removal resulted in increased lifespan only in males. High costs of mating strongly reduced lifespan in both sexes and obliterated the survival benefit of germline‐less males even though neither sex produced any offspring. Furthermore, germline removal reduced male growth before maturation but not in adulthood, while female growth rate was reduced both before and especially after maturation. Thus, germline removal improves male lifespan without major growth costs, while germline‐less females grow slower and do not live longer than reproductively functional counterparts in the absence of environmental stress. Overall, these results suggest that germline maintenance is costlier for males than for females in C. remanei.
Association of psychiatric and substance use disorders with cannabis use and cannabis use disorder during early pregnancy in northern California
Authors: Young‐Wolff Kelly C. , Chi Felicia W. , Campbell Cynthia I. , Does Monique B. , Brown Qiana L. , Alexeeff Stacey E. , Ansley Deborah , Wang Xiaoming , Lapham Gwen T.
Published: July 2024

Aims

To estimate the strength of association between psychiatric disorders and substance use disorders (SUD), and cannabis use and cannabis use disorder (CUD) during early pregnancy.

Design

Observational study.

Setting

Kaiser Permanente Northern California, USA.

Participants

299 496 pregnancies from 227 555 individuals screened for cannabis use by self‐report and a urine toxicology test at entrance to prenatal care in Kaiser Permanente Northern California during January 2011–December 2021 (excepting year 2020). The sample was 62.5% non‐White, with a mean (standard deviation) age of 31.1 (5.5) years; 6.8% used cannabis; 0.2% had a CUD.

Measurements

Exposure variables included electronic health record‐based psychiatric diagnoses of attention deficit hyperactivity, anxiety, bipolar, depressive, personality, posttraumatic stress and psychotic disorders; and alcohol, opioid, stimulant and tobacco use disorders, during the two years prior to pregnancy up to the day before the prenatal substance use screening date. Outcome variables were any cannabis use, frequency of self‐reported cannabis use and CUD during early pregnancy.

Findings

Psychiatric disorder prevalence ranged from 0.2% (psychotic) to 14.3% (anxiety), and SUD ranged from 0.3% (stimulant/opioid) to 3.8% (tobacco). Psychiatric disorders were associated with cannabis use and CUD, with the strongest association for any use found for bipolar disorder (adjusted odds ratio [aOR] = 2.83; 95% confidence interval [CI] = 2.53–3.17) and the strongest association for CUD found for psychotic disorders (aOR = 10.01, 95% CI = 6.52–15.37). SUDs were associated with cannabis use and CUD, with the strongest association for any use found for tobacco use disorder (aOR = 4.03, 95% CI = 3.82–4.24) and the strongest association for CUD found for stimulant use disorder (aOR = 21.99, 95% CI = 16.53–29.26). Anxiety, bipolar, depressive disorders and tobacco use disorder were associated with greater odds of daily than monthly or less cannabis use.

Conclusions

Psychiatric disorders and substance use disorders appear to be associated with elevated odds of any and frequent cannabis use as well as cannabis use disorder during early pregnancy. In most cases, the associations with cannabis outcomes were stronger for substance use disorders than other psychiatric disorders.
Review article: Oesophageal disorders in chronic liver disease
Authors: Idalsoaga Francisco , Díaz Luis Antonio , Ayares Gustavo , Cabrera Daniel , Chahuan Javier , Monrroy Hugo , Halawi Houssam , Arrese Marco , Arab Juan Pablo
Published: July 2024

Background

Oesophageal disorders and chronic liver disease are common worldwide and significantly impact quality of life. The intricate link between these conditions, including how oesophageal disorders like GERD, Barrett's oesophagus and oesophageal cancer affect and are affected by chronic liver disease, remains poorly understood.

Aims

To review the relationship between oesophageal disorders and chronic liver disease, evaluating epidemiology, pathophysiology and therapeutic factors.

Methods

We reviewed the literature on the relationship between oesophageal disorders and chronic liver disease, including cirrhosis, using the PubMed database

Results

Oesophageal disorders such as gastroesophageal reflux disease, Barrett's oesophagus, oesophageal cancer, oesophageal motor disorders and oesophageal candidiasis are prevalent among individuals with cirrhosis, exacerbating the burden of liver disease. These diseases have a multifaceted symptomatology and pathogenic basis, posing a significant challenge in cirrhotic patients that necessitates careful diagnosis and management. Additionally, therapies frequently used for these diseases, such as proton pump inhibitors, require careful consideration in cirrhotic patients due to potential adverse effects and altered pharmacokinetics. Managing oesophageal disorders in cirrhotic patients requires a cautious approach due to possible interactions with medications and the risk of adverse effects. Furthermore, symptoms associated with these conditions are often exacerbated by common interventions in patients with cirrhosis, such as band ligation for oesophageal varices.

Conclusions

Oesophageal disorders are common in cirrhosis and increase the disease burden. These conditions require careful management due to complex symptoms and treatment risks. Proton pump inhibitors and other therapies must be used cautiously, as cirrhosis interventions can worsen symptoms.