bluuebunny/crossref_metadata_2025 huggingface dataset:
Generalized
CP
symmetries in three-Higgs-doublet models
Authors: Bree Iris , Correia Duarte D. , Silva João P.
Published: August 2024

We study the scalar and Yukawa sectors of three Higgs doublets models with a generalized CP symmetry. Imposing the symmetry on the quadratic and quartic couplings of the scalar potential, we show that there are only four classes of scalar potentials, merely one more than in two-Higgs-doublet models (2HDM). Two 3HDM cases are analogs of two 2HDM cases, while the other 2HDM case splits here into two distinct potentials. In 2HDM with generalized CP symmetries extended to the Yukawa sector, there are only two possible cases: the usual CP, with 18 real Yukawa couplings; and a minimal generalized CP model, with 12 real Yukawa parameters. In contrast, with three Higgs there is a rich variety of allowed models. We classify all possible Yukawa textures, showing that there are 40 possibilities, several of which have only 10 real Yukawa couplings.

Published by the American Physical Society
2024
Medium induced mixing, spatial modulations, and critical modes in QCD
Authors: Haensch Maximilian , Rennecke Fabian , von Smekal Lorenz
Published: August 2024

The mixing between the chiral condensate and the density in hot and dense quantum chromodynamics (QCD) matter is familiar. We show that the mixing relevant for the ground state is considerably more extensive, and in particular also involves gluonic degrees of freedom. As a result, the Hessian of the QCD effective action is non-Hermitian, but retains a symmetry under combined charge and complex conjugation. This can lead to complex-conjugate pairs of eigenvalues of this Hessian, signaling regimes with spatially modulated correlations. Furthermore, based on the analytic structure of the quark determinant at a chiral critical point, we demonstrate that the corresponding massless critical mode is composed of the chiral condensate, the density and the Polyakov loops. Due to an avoided crossing, the critical mode turns out to be disconnected from the chiral condensate in vacuum. We present general arguments for all these features and illustrate them through explicit model calculations.

Published by the American Physical Society
2024
Optimized search for a binary black hole merger population in LIGO-Virgo O3 data
Authors: Kumar Praveen , Dent Thomas
Published: August 2024

Maximizing the number of detections in matched filter searches for compact binary coalescence (CBC) gravitational wave signals requires a model of the source population distribution. In previous searches using the framework, sensitivity to the population of binary black hole (BBH) mergers was improved by restricting the range of filter template mass ratios and use of a simple one-dimensional population model. However, this approach does not make use of our full knowledge of the population and cannot be extended to a full parameter space search. Here, we introduce a new ranking method, based on kernel density estimation with adaptive bandwidth, to accurately model the probability distributions of binary source parameters over a template bank, both for signals and for noise events. We demonstrate this ranking method by conducting a search over LIGO-Virgo O3 data for BBHs with unrestricted mass ratio, using a signal model derived from previous significant detected events. We achieve over 10% increase in sensitive volume for a simple power-law simulated signal population, compared to the previous BBH search. Correspondingly, with the new ranking, eight additional candidate events above an inverse false alarm rate threshold 0.5 yr are identified.

Published by the American Physical Society
2024
Double copy of 3D Chern-Simons theory and 6D Kodaira-Spencer gravity
Authors: Bonezzi Roberto , Díaz-Jaramillo Felipe , Hohm Olaf
Published: August 2024

We apply an algebraic double copy construction of gravity from gauge theory to three-dimensional (3D) Chern-Simons theory. The kinematic algebra K is the 3D de Rham complex of forms equipped, for a choice of metric, with a graded Lie algebra that is equivalent to the Schouten-Nijenhuis bracket on polyvector fields. The double copied gravity is defined on a subspace of K⊗K¯ and yields a topological double field theory for a generalized metric perturbation and two 2-forms. This local and gauge invariant theory is non-Lagrangian but can be rendered Lagrangian by abandoning locality. Upon fixing a gauge this reduces to the double copy of Chern-Simons theory previously proposed by Ben-Shahar and Johansson. Furthermore, using complex coordinates in C3 this theory is related to six-dimensional (6D) Kodaira-Spencer gravity in that truncating the two 2-forms and one equation yields the Kodaira-Spencer equations on a 3D real slice of C3. The full 6D Kodaira-Spencer theory can instead be obtained as a consistent truncation of a chiral double copy.

Published by the American Physical Society
2024
Modulational instability and collapse of internal gravity waves in the atmosphere
Authors: Lashkin Volodymyr M. , Cheremnykh Oleg K.
Published: August 2024

Nonlinear two-dimensional (IGWs) in the atmospheres of the Earth and the Sun are studied. The resulting two-dimensional nonlinear equation has the form of a generalized nonlinear Schrödinger equation with nonlocal nonlinearity, that is, when the nonlinear response depends on the wave intensity at some spatial domain. The modulation instability of IGWs is predicted, and specific cases for the Earth's atmosphere are considered. In a number of particular cases, the instability thresholds and instability growth rates are analytically found. Despite the nonlocal nonlinearity, we demonstrate the possibility of critical collapse of IGWs due to the scale homogeneity of the nonlinear term in spatial variables.

Published by the American Physical Society
2024
Field theory of enzyme-substrate systems with restricted long-range interactions
Authors: Olmeda Fabrizio , Rulands Steffen
Published: August 2024

Enzyme-substrate kinetics form the basis of many biomolecular processes. The interplay between substrate binding and substrate geometry can give rise to long-range interactions between enzyme binding events. Here we study a general model of enzyme-substrate kinetics with restricted long-range interactions described by an exponent −γ. We employ a coherent-state path integral and renormalization group approach to calculate the first moment and two-point correlation function of the enzyme-binding profile. We show that starting from an empty substrate the average occupancy follows a power law with an exponent 1/(1−γ) over time. The correlation function decays algebraically with two distinct spatial regimes characterized by exponents −γ on short distances and −(2/3)(2−γ) on long distances. The crossover between both regimes scales inversely with the average substrate occupancy. Our work allows associating experimental measurements of bound enzyme locations with their binding kinetics and the spatial conformation of the substrate.

Published by the American Physical Society
2024
Tensor network noise characterization for near-term quantum computers
Authors: Mangini Stefano , Cattaneo Marco , Cavalcanti Daniel , Filippov Sergei , Rossi Matteo A. C. , García-Pérez Guillermo
Published: August 2024

Characterization of noise in current near-term quantum devices is of paramount importance to fully use their computational power. However, direct quantum process tomography becomes unfeasible for systems composed of tens of qubits. A promising alternative method based on tensor networks was recently proposed []. In this paper, we adapt it for the characterization of noise channels on near-term quantum computers and investigate its performance thoroughly. In particular, we show how experimentally feasible tomographic samples are sufficient to accurately characterize realistic correlated noise models affecting individual layers of quantum circuits, and study its performance on systems composed of up to 20 qubits. Furthermore, we combine this noise characterization method with a recently proposed noise-aware tensor network error mitigation protocol for correcting outcomes in noisy circuits, resulting accurate estimations even on deep circuit instances. This positions the tensor-network-based noise characterization protocol as a valuable tool for practical error characterization and mitigation in the near-term quantum computing era.

Published by the American Physical Society
2024
Multi-UAV path planning using DMGWO ensuring 4D collision avoidance and simultaneous arrival
Authors: Shahid Sami , Zhen Ziyang , Javaid Umair
Published: August 2024

Purpose

Multi-unmanned aerial vehicle (UAV) systems have succeeded in gaining the attention of researchers in diversified fields, especially in the past decade, owing to their capability to operate in complex scenarios in a coordinated manner. Path planning for UAV swarms is a challenging task depending upon the environmental conditions, the limitations of fixed-wing UAVs and the swarm constraints. Multiple optimization techniques have been studied for path-planning problems. However, there are local optimum and convergence rate problems. This study aims to propose a multi-UAV cooperative path planning (CoPP) scheme with four-dimensional collision avoidance and simultaneous arrival time.

Design/methodology/approach

A new two-step optimization algorithm is developed based on multiple populations (MP) of disturbance-based modified grey-wolf optimizer (DMGWO). The optimization is performed based on the objective function subject to multi constraints, including collision avoidance, same minimum time of flight and threat and obstacle avoidance in the terrain while meeting the UAV constraints. Comparative simulations using two different algorithms are performed to authenticate the proposed DMGWO.

Findings

The critical features of the proposed MP-DMGWO-based CoPP algorithm are local optimum avoidance and rapid convergence of the solution, i.e. fewer iterations as compared to the comparative algorithms. The efficiency of the proposed method is evident from the comparative simulation results.

Originality/value

A new algorithm DMGWO is proposed for the CoPP problem of UAV swarm. The local best position of each wolf is used in addition to GWO. Besides, a disturbance is introduced in the best solutions for faster convergence and local optimum avoidance. The path optimization is performed based on a newly designed objective function that depends upon multiple constraints.
Regional analysis of agricultural bank liquidity
Authors: Cowley Cortney , Kreitman Ty , Kauffman Nathan
Published: August 2024

Purpose

The purpose of this article is to determine the regional economic factors and bank characteristics that significantly contribute to changes in bank liquidity. We also seek to identify regions that may be most susceptible to liquidity tightening.

Design/methodology/approach

For this article we use data on deposits from commercial banks, Federal Reserve survey data and indicators of regional and agricultural economic conditions. We specify a panel regression with fixed effects to model how liquidity at agricultural banks has changed and to identify the most significant drivers.

Findings

Our results suggest that small banks and banks with branch networks located in areas more concentrated in agricultural production bear the greatest risk of reduced liquidity.

Practical implications

Prior to the pandemic and more recently, lower deposit growth, combined with strong demand for agricultural loans, has led to reductions in liquidity at agricultural banks. Lower liquidity could reduce credit availability for farm borrowers and increase risks for banks that must rely on alternative sources of funding to meet loan demand.

Originality/value

Previous research has shown that exogenous shocks from other economic sectors, such as energy, can significantly affect bank liquidity, but research is limited on how agricultural bank liquidity is affected by downturns in the agricultural economy and other regional economic factors. Another contribution is this paper’s analysis of regional disparities in bank liquidity.
Impacts of work-related rumination on employee’s innovative performance: based on the conservation of resources theory
Authors: Qian Si , Zhang Xiaoyan , Liu Jiaxin
Published: August 2024

Purpose

This paper aims to examine the double-edged sword effects of work-related rumination on employees’ innovative performance. Drawing upon Conservation of Resources (COR) theory, this study developed a model to reveal the mechanism through which work-related rumination affects employees’ innovative performance.

Design/methodology/approach

Data were collected from a sample of employees and their managers at an information technology services firm in China. A two-wave data collection method with a one-month interval was employed. The analysis was conducted using structural equation modeling on 482 paired manager-subordinate responses.

Findings

Our findings highlight the complex interplay between work-related rumination and innovative performance. Specifically, affective rumination was found to detract from employees’ innovative performance, whereas problem-solving pondering had a positive effect. Notably, creative self-efficacy emerged as a key mediator in these relationships. Furthermore, employees’ perceived organizational support moderated the impact of rumination on creative self-efficacy and, consequently, on innovative performance, buffering the negative effects of affective rumination and enhancing the positive effects of problem-solving pondering.

Originality/value

Firstly, it enriches the existing literature on work-related rumination by exploring its nuanced influence on employees’ innovative performance. Secondly, it illuminates the underlying mechanism through which work-related rumination affects innovative performance, mediated by creative self-efficacy. Lastly, it highlights the crucial role of perceived organizational support in moderating these relationships, offering valuable insights for practitioners seeking to foster a more innovative work environment.
Research on the influence of the digital economy on the development of China’s small household appliance industry and enhancement countermeasures
Authors: Sheng Gang , Wu Huabin , Xu Xiangdong
Published: August 2024

Purpose

The implementation of the digital economy has had a considerable influence on the manufacturing industry, and this paper aims to address the important issues of how to capture the opportunities presented by digital innovation and promote the transformation and upgrading of the manufacturing industry, as well as the improvement of quality and efficiency.

Design/methodology/approach

Using panel data from 30 Chinese provinces and cities between 2010 and 2021, this study establishes the panel vector autoregression (PVAR) model and uses impulse response function analysis to evaluate the influence of the digital economy on the high-quality transformation and upgrading of China's small home appliance industry across five dimensions under the digital economy.

Findings

The development of digital infrastructure has not demonstrated a noteworthy capacity for advancing the transformation and upgrading of the small home appliance industry. Furthermore, digital industrialization has exerted a minimal restraining influence on this process. Nevertheless, digital governance has consistently exhibited a substantial impact on facilitating the transformation and upgrading of the small home appliance industry. While both industrial digitization and digital innovation hold significant potential for promoting the transformation and upgrading of the small home appliance industry, their sustainability remains limited.

Practical implications

The organization should logically join independent innovation and open innovation, construct an industrial ecosystem for the profound convergence of the digital economy and compact household appliances, use digital-wise science and technology to empower the establishment of brand effects, strengthen the portrayal of the digital standard framework for the intelligent compact household appliance industry, advance the development of a public stage for computerized administrations in the compact household appliance industry and develop a strategy ecosystem for computerized assets in the compact household appliance industry.

Originality/value

This study offers systematic evidence of the relationship between the digital economy and the development of the small home appliance industry. The results of this research contribute to the literature on the impact of the digital economy on the manufacturing sector and provide a logical explanation for the transformation and upgrading of the small home appliance industry within the context of the digital economy.
The impact of psychological capital, cognitive diversity and temporal ambidexterity on adaptive performance through innovative work behaviour among IT employees in India
Authors: Devassy Shiny , Jindal Priya
Published: August 2024

Purpose

This study aims to examine how the Information Technology (IT) sector in India is changing sporadically to be relevant to be able to meet the changing demands. Companies are striving hard to be able to leverage any such factor that adds to the competitive advantage needed to survive in this dynamic market. Therefore, an organization has to be able to keep innovation as its primary objective.

Design/methodology/approach

This study used a cross-sectional research design and the data from 303 IT professionals were used to validate the relationships among psychological capital (PSC), cognitive diversity (COD), temporal ambidexterity (TEA), innovative work behaviour (IWB) and adaptive performance (ADP). Hypotheses testing was done through the SEM and mediation analysis was conducted using bootstrap estimation in SPSS AMOS.

Findings

The results suggest that PSC significantly affects both IWB and ADP. COD has a significant effect only on IWB. In addition, directly impacts ADP. Mediation analysis indicates that COD has full mediation between the relationship of IWB and ADP, whereas PSC has a partial mediation. However, TEA has no mediation indicating that an employee needs to have support from his organization to be ambidextrous.

Originality/value

This study shows how significant innovation and IWBs are in the context of the IT sector and how positive thinking, a diverse set of people and the balance between short-term and long-term goals could promote IWBs in an individual leading to better ADP.
Adoption of new banking models from a consumer perspective: the case of Iran
Authors: Salmasi Soroush Dehghan , Sedighi Mohammadbashir , Sharif Hossein , Shah Mahmood Hussain
Published: August 2024

Purpose

Traditionally, the banking and financial sectors have pioneered adoption of new technologies and business models. One important digital banking model that has proven its efficacy in recent times, is Digital-Only Banking (DOB) where consumers interact with their banks through digital channels only. Having detailed knowledge of what actually happens at the consumer level during the adoption of new digital models and technologies is paramount to the success of these technological initiatives. The present study aims to investigate DOB adoption behavior and possible barriers using a quantitative approach at the consumer level. A conceptual model is developed by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model, incorporating Trust (TR), Perceived Risk (PR) constructs and cultural moderators of Individualism (IDV) and Uncertainty Avoidance (UA).

Design/methodology/approach

For this study, an online survey instrument was created and administered in Iran. The research sample was selected through the application of purposive sampling. Data from 788 respondents were analyzed. The proposed model was tested using Partial Least Square.?.s Structural Equation Modeling (PLS-SEM).

Findings

The results show that DOB adoption is positively influenced by Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC), while PR negatively influences DOB adoption intention. Unexpectedly, the results indicate that TR has no significant impact on DOB usage intention. Additionally, this study demonstrates that with individuals having a low level of IDV, the relationship between PE and BI is stronger, and with individuals having a low level of UA, the impact of SI on BI is stronger. It also reveals that the impact of TR on BI is stronger in low individualistic cultures.

Practical implications

DOB providers should enhance support features of their services or provide facilities that make it simpler for users to accomplish online transactions. Here, in order to improve the UI/UX design of their apps, DOB product managers should carefully observe the technical guidelines of the operating systems of digital devices, such as the Human Interface Guidelines (HIG) for iOS and Material You for Android. Additionally, DOB providers should build partnerships with mega online retailers to provide hassle-free and easy to use payment solutions for consumers.

Originality/value

DOB, as a novel and business model, has been investigated in very few studies, especially regarding any which focus on its adoption. To fill this gap, this research investigates DOB adoption through a modified version of the UTAUT model. The findings of this study suggest that future research regarding DOB should consider sources of TR, types of non-adopters, and context. This study, as the first of its kind in DOB literature, also highlights the significant role played by cultural values in customer behavior regarding DOB adoption.
In search of profitable growth in volatile and unpredictable environments: the role of supply chain structural adaptability
Authors: Roh Joseph , Swink Morgan , Whipple Judith M.
Published: August 2024

Purpose

This research examines the long-held belief in the adaption-related literature that a firm’s ability to adapt organizational structure to changing environments is related to superior performance. We create and test a construct that reflects an organization’s ability to change structure, which we call Supply Chain Structural Adaptability (SCSA), rather than relying on proxies (e.g. structural form or organizational modularity) used in prior studies.

Design/methodology/approach

Quantitative data was collected from 218 firms to test our conceptual model.

Findings

We find that SCSA has a mixed effect on profitable growth under various environmental conditions.

Originality/value

We find evidence that refutes two widely held assumptions in organization research, namely, that structural form serves as a reasonable proxy for structural adaptability and that the benefits of adaptive capabilities always increase as environmental dynamism increases.
Vertically integrated project: uniting teaching, research, and community in favor of sustainability
Authors: Morini Cristiano , Inacio Junior Edmundo , Azevedo Anibal Tavares de , Sanches Francisco Elíseo Fernandes , Avancci Dionisio Eduardo
Published: August 2024

Purpose

Higher education institutions (HEIs) are crucial in sustainable development. To this end, they must infuse sustainability into all their endeavors. This study aims to delve into the unique vertically integrated project (VIP), a project-based learning approach and its impact on students’ skills and the surrounding community.

Design/methodology/approach

The research design was collaborative, reflecting the spirit of the VIP. Step 1 involved an action research approach, where students and instructors worked closely with municipal representatives to identify challenges and devise solutions for local economic development. In Step 2, students' voices were heard through a survey. Step 3 encompassed presentations in scientific and nonscientific events, capturing the community’s perception as a valuable feedback loop.

Findings

The authors identified the most effective policies implemented by municipalities that excelled in indices related to the business environment. VIP enhanced students’ soft skills, including critical thinking, teamwork and community spirit. The outcomes of the VIP were effective in identifying public policies aimed at social transformation.

Practical implications

This study’s findings offer significant insights for HEI managers, guiding them in adopting interdisciplinary pedagogical practices. These practices, in turn, foster sustainable development within both internal and external communities. Furthermore, the empirical study’s focus on improving local community governance can potentially enhance the local business environment.

Originality/value

Literature emphasizing the social dimension of sustainability in HEIs is scarce, particularly those practices related to teaching, research and extension linked to projects aimed at community sustainability. This study introduces interdisciplinary practices encouraging student involvement in addressing tangible issues and searching for solutions to community problems.
Adapting online wine education to China: a two-study multimethod approach
Authors: Pelet Jean-Eric , Canziani Bonnie , Terblanche Nic
Published: August 2024

Purpose

Teaching wine tasting online is challenging, even given the curated digital tools of the Wine and Spirit Education Trust, a highly renowned online wine certification system is used. This paper aims to initially explore wine experts’ opinions about online wine education and subsequently examine the feasibility of customizing wine appreciation lexicons for Chinese learners.

Design/methodology/approach

A two-study multimethod approach was adopted. Study 1, a two-stage Delphi study, was conducted with 17 wine experts representing a number of countries, using a mix of closed/open-ended questions in an online survey. Data was collected in a market study in Study 2, conducted at agricultural markets in Thailand (pilot test) and China. Dialogues with market sellers were undertaken, evoking mental imagery of wine descriptors to explore the relevance of traditional versus local aromas and flavors in describing wine.

Findings

Findings concentrate on three main areas: general advantages/disadvantages of online wine education, reactions toward asynchronous/synchronous methods of wine tasting and, finally, the feasibility of customizing a wine appreciation lexicon for Chinese learners.

Originality/value

The study presents novel insights into the role of online wine education in China.
Spatiotemporal context transition model based on graph convolutional network and its implementation
Authors: Zhao Jingyi , Xin Mingjun
Published: August 2024

Purpose

The purpose of this paper is to present a method that addresses the data sparsity problem in points of interest (POI) recommendation by introducing spatiotemporal context features based on location-based social network (LBSN) data. The objective is to improve the accuracy and effectiveness of POI recommendations by considering both spatial and temporal aspects.

Design/methodology/approach

To achieve this, the paper introduces a model that integrates the spatiotemporal context of POI records and spatiotemporal transition learning. The model uses graph convolutional embedding to embed spatiotemporal context information into feature vectors. Additionally, a recurrent neural network is used to represent the transitions of spatiotemporal context, effectively capturing the user’s spatiotemporal context and its changing trends. The proposed method combines long-term user preferences modeling with spatiotemporal context modeling to achieve POI recommendations based on a joint representation and transition of spatiotemporal context.

Findings

Experimental results demonstrate that the proposed method outperforms existing methods. By incorporating spatiotemporal context features, the approach addresses the issue of incomplete modeling of spatiotemporal context features in POI recommendations. This leads to improved recommendation accuracy and alleviation of the data sparsity problem.

Practical implications

The research has practical implications for enhancing the recommendation systems used in various location-based applications. By incorporating spatiotemporal context, the proposed method can provide more relevant and personalized recommendations, improving the user experience and satisfaction.

Originality/value

The paper’s contribution lies in the incorporation of spatiotemporal context features into POI records, considering the joint representation and transition of spatiotemporal context. This novel approach fills the gap left by existing methods that typically separate spatial and temporal modeling. The research provides valuable insights into improving the effectiveness of POI recommendation systems by leveraging spatiotemporal information.
Does green productivity promote agricultural productivity in Vietnamese market?
Authors: Phuong Nguyen Thi Minh , Song Nguyen Van , Bach Tran Quang , Thanh Đinh Trung , Tiep Nguyen Cong , Tien Dinh Van , Ha Thai Van , Luong Nguyen Thi
Published: August 2024

Purpose

The research aims to assess the relationship between ecological innovation, green productivity, sustainable development and agricultural productivity in Vietnam. The agricultural sector of Vietnam has been observed with new opportunities which have fostered its productivity and growth.

Design/methodology/approach

The study uses a range of methods where initially, the researcher used descriptive analysis, cointegration and unit root tests. Secondly, Quantile Autoregressive Distributed Lag (QARDL) is used to assess the short and long run effects. The QARDL methodology is employed to capture the relationship between variables. Through this approach, the researcher is able to examine the scale of the interaction between dependent and independent variables.

Findings

The unique findings drawn through statistical techniques are also a great addition to the context of literature related to Vietnam’s agricultural productivity. Practical insights can also not be denied as the study provides beneficial guidelines for Vietnam’s agricultural sector to refine agricultural productivity.

Research limitations/implications

Scholars are advised to use strong literary techniques to overcome these limitations and give a more thorough investigation into the same ideas. The availability and dependability of data was one of the primary challenges in carrying out this study. Vietnam has made significant advances in the collection and documentation of agricultural data, but there might still be gaps in the availability of thorough and current data on ecological innovation, green production and sustainable development.

Originality/value

Vietnam’s unique socioeconomic, cultural and environmental features influence how ecological innovation, green productivity, sustainable development and agricultural production are interconnected. Consequently, consideration should be taken when applying the results to various scenarios.
Exploring the asymmetric relationship between macroeconomic factors and corporate profitability in the MSCI Colombia index
Authors: Joaqui-Barandica Orlando , Osorio-Vanegas Brayan , Ramirez-Patiño Carolina , Ojeda-Echeverry Cesar A.
Published: August 2024

Purpose

This study aims to explore the asymmetric effects of macroeconomic factors on the profitability of large-cap companies in an emerging country like Colombia, using the Morgan Stanley Capital International (MSCI) Colombia index as the basis.

Design/methodology/approach

We employ a combination of singular spectrum analysis (SSA) and principal component analysis (PCA) to identify and estimate four key macroeconomic factors that account for approximately 47.8% of Colombia's macroeconomy. These factors encompass indicators related to inflation and cost of living, foreign trade and exchange rate, employment and labor force and trade and production in Colombia. We utilize the distributed lag nonlinear model (DLNM) to analyze the asymmetric relationships between these factors and corporate profitability, considering different scenarios and lags.

Findings

Our analysis reveals that there are indeed asymmetric relationships between the identified macroeconomic factors and corporate profitability. These relationships exhibit variability over time and lags, indicating the nuanced nature of their impact on corporate performance.

Originality/value

This study contributes to the existing literature by applying a novel methodology that combines SSA and PCA to identify macroeconomic factors within the Colombian context. Additionally, our focus on asymmetric relationships and their dynamic nature in relation to corporate profitability, using DLNM, adds original insights to the research on this subject.
How do social enterprises respond operationally to conflicting demands? A resource-based view
Authors: Ávila Liliana , Ferreira Luís Miguel D.F. , Amorim Marlene
Published: August 2024

Purpose

Social enterprises live in the limbo between social and market objectives, posing many operations management challenges. This study extends the discussion of operational priorities, which has focused on purely for-profit organisations, to the context of social enterprises by exploring, from a resource-based perspective, which resources and operational priorities are most important to them and how they are used to respond to conflicting demands.

Design/methodology/approach

Multiple case study research was carried out involving five Portuguese social enterprises, representative of the main sectors in which social enterprises operate in Europe. Ten semi-structured interviews with directors and other high-ranking respondents were conducted, and content was analysed to gather evidence on the key resources and operational priorities pursued by social enterprises. Cross-case conclusions were drawn, resulting in theoretical propositions and a conceptual framework.

Findings

Findings suggest that social enterprises rely on intangible resources and combine different operational priorities, which may vary throughout their lifecycle. Community engagement has emerged as a specific operational priority, in addition to those already reported in the manufacturing and services literature. To balance conflicting demands, most social enterprises studied combine innovation with community engagement or customer focus.

Originality/value

The study contributes to the development of knowledge about the operations strategy in the specific context of social enterprises, an organisational model that has not been systematically addressed in the operations management literature, and brings the discussion of operational priorities into the social enterprise field, thus strengthening the link between these two fields.
How do care workers learn to care for people with dementia living in care homes? A model of informal learning
Authors: Latham Isabelle , Brooker Dawn , de Vries Kay
Published: August 2024

Purpose

This paper describes a model of “Learning to care” derived from a study exploring how care workers in care homes learn to care for people living with dementia. The “Learning to care” model is primarily informal in nature in which influences such as formalised training and organisational culture impact care outcomes indirectly rather than directly.

Design/methodology/approach

This study used a focused, critical ethnographic approach in two care homes in England resulting in 63 h of observation of care of people living with advanced dementia, 15 semi-structured interviews and 90 in-situ ethnographic interviews with care staff.

Findings

The findings reveal a three-level model of learning to care. At the level of day-to-day interactions is a mechanism for learning that is wholly informal and follows the maxim “What Works is What Matters”. Workers draw on resources and information within this process derived from their personal experiences, resident influences and care home cultural knowledge. Cultural knowledge is created through a worker’s interactions with colleagues and the training they receive, meaning that these organisational level influences affect care practice only indirectly via the “What Works is What Matters” mechanism.

Originality/value

This study makes an original contribution by explaining the nature of day-to-day informal learning processes as experienced by care workers and those living with dementia in care homes. In particular, it illuminates the specific mechanisms by which organisational culture has an effect on care practice and the limitations of formal training in influencing such practice.
Ambiguity in international financial reporting standards (IFRS) and its impact on judgments of auditors
Authors: Chand Parmod , Leung Philomena , Martinov-Bennie Nonna , Carey Peter
Published: August 2024

Purpose

This paper aims to conduct an experiment that investigates the effect of the ambiguity present in international financial reporting standards (IFRS) on the judgments of auditors. This paper also examine the effects of the personality trait of ambiguity tolerance on judgments of auditors.

Design/methodology/approach

This paper conduct an experiment in which experienced Australian-based auditors are placed in hypothetical revenue recognition and lease classification decision contexts. The participants are members of the Australian accounting profession who are familiar with applying IFRS.

Findings

This paper find support for the perception that when the relevant IFRS are more ambiguous, auditors make less aggressive reporting judgments compared to when the IFRS are less ambiguous. The results also unveil a novel finding that auditors who are more tolerant of ambiguity are likely to choose the accounting treatment that best reflects the economic substance of a transaction when interpreting IFRS compared to those who are less tolerant of ambiguity.

Practical implications

These results would be of interest to policymakers and accounting researchers as they continue to contemplate a shift to more principles-based IFRS.

Originality/value

To the best of the authors’ knowledge, this study is the first to examine the influence of an individual’s ambiguity tolerance on financial reporting quality in jurisdictions that have adopted IFRS.
Sustainability reporting and assurance practices contribution to SDG disclosure: evidence from communication on progress (CoP)
Authors: Zampone Giovanni , Guidi Michele
Published: August 2024

Purpose

This study aims to investigate the impact of diverse practices in sustainability reporting and assurance on the disclosure of sustainable development goals (SDGs). Specifically, the authors examine the disclosure of SDGs along two dimensions: disclosure breadth, denoting the number of goals mentioned, and disclosure depth, encompassing the extent of actions disclosed to advance these goals.

Design/methodology/approach

Using a panel Tobit regression analysis, the authors analyse the communication on progress questionnaires from 299 companies (resulting in 1,015 firm-year observations) participating in the United Nations Global Compact from 2017 to 2021.

Findings

The findings revealed that greater adherence to Global Reporting Initiative standards increases SDG disclosure breadth; external assurance using publicly recognised standards, more than proprietary methods, is associated with SDG disclosure breadth and depth; and the review of information by multiple stakeholders improves the depth of SDG disclosure more than evaluation by a panel of peers.

Originality/value

The originality of this study lies in its examination of the intricate interplay between sustainability disclosure and assurance practices, on the one hand, and the disclosure of SDGs, on the other. Uniquely, the authors consider the various levels of implementation of these practices, allowing for a comprehensive assessment of their influence on SDG disclosure.
Comparison study of Izod impact properties on 3D printed thermoplastic and thermoset carbon fiber composite at different infill density
Authors: Kumar Mishra Pradeep , T. Jagadesh
Published: August 2024

Purpose

This study aims to evaluate the low energy impact characteristics of 3D printed carbon fiber thermoplastic and thermoset polymer composite using the Izod impact test. The effects of infill density are examined on the Izod impact properties of 3D printed thermoset polymer and thermoplastic composite specimens. Furthermore, a thorough investigation is conducted into the effect of heat treatment using a hot-air oven on both types of 3D printed composite specimens. To characterize the impact characteristics of each specimen, the fracture surfaces caused by impact load are inspected, and the fracture mechanism is studied using scanning electron micrographs.

Design/methodology/approach

Izod Impact specimens of thermoset (epoxy resin) and thermoplastic carbon fiber of different infill density (70, 75, 80, 85, 90 and 100%) are fabricated using the different fiber impregnation 3D printing process. To carry out the heat treatment process, printing of composites is done for each infill design from both thermoset and thermoplastic composites and the impact characteristics of specimens are evaluated on a pendulum test-rig using the ASTM D-256 standard. Using a scanning electron microscope, each fracture zone underwent four separate scanning processes, ranging in size from 2 µm to 100 µm.

Findings

The impact resistance of the 3D printed thermoset and thermoplastic composite material is significantly influenced by the type of fiber placement and infill density in the matrix substrate. Because of the weak interfacial strength between the layers of fiber and polyamide 6, the specimen printed with continuous fiber implanted at the part exhibited reduced impact resistance. At 75% infill density, the impact specimen printed with coextruded fiber showed the highest impact resistance with a 367.02% greater magnitude than the continuous fiber specimen with the same infill density.

Originality/value

This work presents a novel approach to analyze the low energy impact characteristics and three-dimensional printing of carbon fiber reinforced thermoplastic and carbon fiber reinforced thermoset and thermoplastic composite material.
Are there any differences in the tourists’ perceived destination image between travel e-commerce platforms and social media platforms?
Authors: Liu Ya-Fei , Zhu Yu-Bo , Wu Hou-Han , Li Fangxuan (Sam)
Published: August 2024

Purpose

This study aims to explore the differences in the tourists’ perceived destination image on travel e-commerce platforms (e.g. Ctrip and Fliggy) and social media platforms (e.g. Xiaohongshu and Weibo).
Leveraging regional assets for MICE tourism
Authors: Ciuffreda Raffaela , Simonetti Biagio
Published: August 2024

Purpose

The purpose of this study is to assess the current state of MICE tourism in Campania and explore strategic opportunities for its development. By identifying the strengths and weaknesses of this sector, the research aims to provide insights into how Campania can enhance its competitiveness as a MICE destination. The study seeks to offer recommendations for leveraging the region’s unique features, such as its cultural heritage and scenic landscapes, to attract more business travelers and corporate events, ultimately contributing to the region’s economic growth and sustainability.

Design/methodology/approach

This study utilizes a mixed-methods approach to evaluate the MICE tourism sector in Campania. It involves analyzing quantitative data from regional tourism statistics and economic reports, complemented by qualitative insights gathered from interviews with key stakeholders in the tourism and hospitality industries. The research also includes a comparative analysis of Campania with other regions renowned for MICE tourism, aiming to identify best practices and potential areas for improvement. This comprehensive methodology ensures a thorough understanding of Campania’s current MICE tourism landscape and its future potential.

Findings

The study reveals that Campania has substantial potential for growth in the MICE tourism sector, owing to its rich cultural assets and appealing locations. However, challenges such as inadequate infrastructure and limited marketing efforts hinder its full potential. The findings suggest that targeted investments in infrastructure improvements, particularly in transportation and event facilities, along with robust marketing strategies, could significantly enhance Campania’s appeal as a MICE destination. Emphasizing sustainable practices could further differentiate the region in the competitive global market, attracting environmentally conscious business travelers.

Originality/value

This study provides a comprehensive analysis of the MICE tourism sector in Campania, offering valuable insights into its current status and future potential. It highlights the region’s unique strengths and the challenges it faces, providing actionable recommendations for strategic development. By focusing on both economic growth and sustainability, this research contributes to a broader understanding of how regions can successfully leverage MICE tourism for long-term benefits. The findings and recommendations serve as a valuable resource for policymakers, tourism authorities and stakeholders in the hospitality industry seeking to enhance Campania’s position in the global MICE tourism market.
Conclusion: Reshaping horizons: the future of events in a post-pandemic world?
Authors: Dogan Seden , Edwards David A.
Published: August 2024

Purpose

The purpose of this theme issue is to explore the enduring changes and innovations shaping the future of the event industry in the post-pandemic world. While much of the existing literature focuses on the immediate impacts of COVID-19, this issue aims to provide a comprehensive analysis of the broader transformations, including the integration of sustainability, emerging technologies, and evolving event formats.

Design/methodology/approach

The theme issue encompasses a range of methodologies, including systematic reviews, bibliometric analyses, and in-depth case studies. The papers examine various aspects of the event industry, such as the adoption of hybrid event formats, the role of new technologies, and the importance of sustainability in event planning. Each paper contributes unique insights into the future direction of the industry by analyzing trends, technologies, and practices that are defining the next era of event management.

Findings

The findings highlight a significant shift in the event industry towards sustainability, with an increasing emphasis on eco-friendly practices, waste reduction, and the use of sustainable materials. Emerging technologies are also transforming the landscape, enabling more personalized and immersive event experiences. The rise of hybrid and micro-events is identified as a key trend, providing flexibility and inclusivity while maintaining the benefits of in-person interactions. These developments suggest a permanent change in consumer expectations and engagement strategies within the event industry.

Originality/value

This theme issue offers a holistic analysis of the innovative practices, technologies, and trends that are defining the future of the event industry. By bridging the gap between immediate pandemic responses and long-term industry transformations, it provides valuable insights for academics, practitioners, and policymakers looking to navigate the next era of event management.