bluuebunny/crossref_metadata_2025 huggingface dataset:
Early changes in the gut microbiome among HIV-infected Individuals in Uganda initiating daily TMP/SMX
Authors: Atugonza Carolyne , Muwonge Adrian , Najjuka Christine F. , Kateete David P. , Katagirya Eric , Mwesigwa Savannah , Asiimwe Benon
Published: October 2024

Daily cotrimoxazole (TMP/SXT) prophylaxis is part of the HIV treatment package for all new HIV-infected individuals in Uganda. Although this treatment has shown reduced morbidity and mortality in HIV, it remains controversial due to its contribution to developing antibiotic-resistant bacteria. Moreover, the effects of daily use of a broad-spectrum antibiotic on the gut microbiome remain unknown.

To study the early effects, we analysed shotgun metagenome sequence data from stool samples of five newly HIV-infected individuals initiating TMP/SXT prophylaxis longitudinally for the first 30 days of treatment. Using shotgun metagenomics sequencing, we generated both taxonomic and functional profiles from each patient and compared gut microbial changes Pre-TMP/SXT and post-TMP/SXT on Day 5, Day 14, and Day 30.

Daily TMP/SXT prophylaxis resulted in a shift characterised by an enrichment ofPrevetolleaandRuminococcusgenera members and the depletion ofLactococcusandBacteroidesgenera members. Furthermore, these microbial shifts were associated with changes in the functional profile revealed by a differential abundance of pathways of amino acid metabolism, carbohydrate metabolism, and nucleotide biosynthesis linked to members of the Bacteroidaceae and Enterobacteriaceae families.

TMP/SXT daily prophylaxis in HIV-infected individuals is associated with dramatic changes in microbial composition and functional profiles; however, other factors such as Age, Gender, HIV clinical stage, and ART regiment are at play. Further investigation is needed to examine the implication of these shifts on clinical management and outcomes among HIV patients.
Histone H3 as a redox switch in the nucleosome core particle: insights from molecular modeling†
Authors: Karami Yasaman , González-Alemán Roy , Duch Mailys , Qiu Yuya , Kedjar Yani , Bignon Emmanuelle
Published: October 2024

Histones post-translational modifications are major regulators of the chromatin dynamics. Understanding the structural signature of these marks in the nucleosome context is of major importance to unravel their mechanisms of action and open perspectives for the development of new therapies. In this work, we rely on multi-microseconds molecular dynamics simulations and advanced structural analysis to unravel the effect of two modifications of the histone H3: S-sulfenylation and S-nitrosylation. These oxidative modifications are known to target the cysteine 110 on the histone H3, but there was no data about their effect on the nucleosome dynamics. We show that in a nucleosome core particle, S-sulfenylation and S-nitrosylation exhibit different structural signatures, which could suggest that they play a different role in the regulation of the nucleosome dynamics. While S-sulfenylation destabilizes the dyad and could be involved in the nucleosome disassembly, S-nitrosylation mainly induces DNA flexibility at its entry/exit point, most probably favoring breathing/unwrapping phenomena. Our results highlight the fine tune link between the chemical nature of histone core post-translational modifications and their impact on such a large architecture as the nucleosome. They also provide new insights into the regulatory mechanisms of histone oxidative modifications, about which very little is known so far.
HIV-1 budding requires cortical actin disassembly by the oxidoreductase MICAL1
Authors: Serrano Thomas , Casartelli Nicoletta , Ghasemi Foad , Wioland Hugo , Cuvelier Frédérique , Salles Audrey , Moya-Nilges Maryse , Welker Lisa , Bernacchi Serena , Ruff Marc , Jégou Antoine , Romet-Lemonne Guillaume , Schwartz Olivier , Frémont Stéphane , Echard Arnaud
Published: October 2024

Many enveloped viruses bud from the plasma membrane that is tightly associated with a dense and thick actin cortex. This actin network represents a significant challenge for membrane deformation and scission, and how it is remodeled during the late steps of the viral cycle is largely unknown. Using super-resolution microscopy, we show that HIV-1 buds in areas of the plasma membrane with low cortical F-actin levels. We find that the cellular oxidoreductase MICAL1 locally depolymerizes actin at budding sites to promote HIV-1 budding and release. In the absence of MICAL1, F-actin abnormally remains at viral budding sites, incompletely budded viruses accumulate at the plasma membrane and viral release is impaired. Remarkably, normal viral release can be restored in MICAL1-depleted cells by inhibiting Arp2/3-dependent branched actin networks. Mechanistically, we find that MICAL1 directly disassembles branched-actin networks and controls the timely recruitment of the ESCRT scission machinery during viral budding. In addition, the MICAL1 activator Rab35 is recruited at budding sites, functions in the same pathway as MICAL1 and is also required for viral release. This work reveals a role for oxidoreduction in triggering local actin depolymerization to control HIV-1 budding, a mechanism that may be widely used by other viruses. The debranching activity of MICAL1 could be involved beyond viral budding in various other cellular functions requiring local plasma membrane deformation.
Reconcile sensory attenuation and enhancement: The temporal dynamics of self-generated sensory feedback
Authors: Suzuishi Yosuke , Chang Acer Yu-Chan , Wen Wen
Published: October 2024

Self-generated touches are often perceived as weaker than externally generated ones, a phenomenon known as sensory attenuation. However, recent studies have challenged this view by providing evidences that actions could also enhance predicted touch. To investigate this paradox, we examined the temporal dynamics of perceptual processing using steady-state somatosensory evoked potentials (SSSEP) and sliding time window analysis. Results showed that SSSEP in the very early window was smaller in the no-delay and active conditions compared to the delayed and passive condition, respectively, consistent with sensory attenuation. However, this attenuation soon disappeared and reversed in the later windows and onward, indicating an early attenuation followed by a later enhancement. This study resolves the paradox of sensory attenuation and enhancement in self-generated sensory signals by demonstrating that these processes occur at different phases of sensory processing. The findings reveal a sophisticated dynamic balance in sensory processing, facilitating optimal interaction with the environment.
Effective Polarization in Potassium Channel Simulations: Ion Conductance, Occupancy, Voltage Response, and Selectivity
Authors: Hui Chenggong , de Vries Reinier , Kopec Wojciech , de Groot Bert L.
Published: October 2024

Potassium (K+) channels are widely distributed in many types of organisms. They combine high efficiency (∼100 pS) and K+/Na+selectivity by a conserved selectivity filter (SF). Molecular Dynamics (MD) simulations can provide detailed, atomistic mechanisms of this sophisticated ion permeation. However, currently there are clear inconsistencies between computational predictions and experimental results. Firstly, the ion occupancy of the SF in simulations is lower than expected (∼2.5 in MD compared to ∼4 in X-ray crystallography). Secondly, in many reported MD simulations of K+channels, K+conductance is typically an order of magnitude lower than experimental values. This discrepancy is in part because the force fields used in MD simulations of potassium channels do not account for polarization. One of the proposed solutions is the Electronic Continuum Correction (ECC), a force field modification that scales down formal charges, to introduce the polarization in a mean-field way. When the ECC is used in conjunction with the Charmm36m force field, the simulated K+conductance increases 13-fold. Following the analysis of ion occupancy states using Hamiltonian Replica Exchange (HRE) simulations, we propose a new parameter set for Amber14sb, that also leads to a similar increase in conductance. These two force fields are then used to compute, for the first time, the full current-voltage (I-V) curves from MD simulations, approaching quantitative agreement with experiments at all voltages. In general, the ECC-enabled simulations are in excellent agreement with experiment, in terms of ion occupancy, conductance, current-voltage response, and K+/Na+selectivity.

Significance Statement

Potassium (K+) channels are essential membrane proteins that facilitate the selective conduction of K+ions while excluding Na+ions. Incorporation of electronic polarization effects through the Electronic Continuum Correction (ECC) method enables molecular dynamics simulations to reproduce rapid K+permeation under physiological voltage conditions. In this study, we demonstrate that employing ECC approximated polarization in molecular dynamics simulations allows for the prediction of multiple channel properties: conductance, ion occupancy, voltage response, and selectivity, with unprecedented accuracy. Furthermore, our simulations provide atomistic insights into the asymmetrical current-voltage (I-V) relationship observed in the MthK channel.
Ketamine reverses chronic stress-induced behavioral changes via the expression of Ca2+-permeable AMPA receptors in mice
Authors: Flowers Joshua C. , Vetter Paige E. , Wiles McKennon J. , Roh Seung Hyun , Black Ellison R. , Bouckova Evelina , Wustrau Madison H. , Lee Rahmi , Lee Sang-Hun , Kim Seonil
Published: October 2024

Chronic stress affects brain functions leading to the development of mental disorders like anxiety and depression, as well as cognitive decline and social dysfunction. Among many biological changes in chronically stressed brains, disruptions in AMPA Receptor (AMPAR)-mediated synaptic transmission in the hippocampus are associated with stress responses. We have revealed that low-dose ketamine rapidly induces the expression of GluA1-containing, GluA2-lacking Ca2+-Permeable AMPARs (CP-AMPARs), which enhances glutamatergic synaptic strength in hippocampal neurons. Additionally, subanesthetic low-dose ketamine decreases anxiety- and depression-like behaviors in naïve animals. In addition to reducing depression, some research indicates that ketamine may have protective effects against chronic stress in both humans and animals. However, the role of CP-AMPARs in the actions of ketamine’s antistress effects is largely unknown. Here, we use whole-cell patch-clamp recordings from CA1 pyramidal neurons in female and male hippocampal slices to affirm that subanesthetic low-dose ketamine treatment induces CP-AMPAR expression in these cells. Using multiple behavioral assays including reciprocal social interaction, contextual fear conditioning, and tail suspension test, we demonstrate that low-dose ketamine treatment reverses chronic restraint stress (CRS)-induced social dysfunction, hippocampus-dependent fear memory loss, and depression-like behavior in both female and male mice. Furthermore, we show that the ketamine-induced antistress effects on these behaviors are dependent on CP-AMPAR expression. From this, our findings suggest that subanesthetic low-dose ketamine rapidly triggers the expression of CP-AMPARs in the hippocampus, which induces antidepressant and antistress effects.
The arrival of the Near Eastern ancestry in Central Italy predates the onset of the Roman Empire
Authors: Ravasini Francesco , Conati Barbaro Cecilia , Scheib Christiana Lyn , Tambets Kristiina , Metspalu Mait , Cruciani Fulvio , Trombetta Beniamino , D’Atanasio Eugenia
Published: October 2024

Italian genetic history was profoundly shaped by Romans. While the Iron Age was comparable to contemporary European regions, the gene pool of Central Italy underwent significant influence from Near Eastern ancestry during the Imperial age. To explain this shift, it has been proposed that during this period people from Eastern Mediterranean regions of the Empire migrated towards its political center. In this study, by analyzing a new individual (1.25x) and published Republican samples, we propose a novel perspective for the presence of Near Eastern ancestry in the Imperial gene pool. In our scenario, the spread of this genetic ancestry took place during the late Republican period, predating the onset of the Empire by ∼200 years. The diffusion of this ancestry may have occurred due to early East-to-West movements, since Eastern Mediterranean regions were already under Roman political influence during the Republic, or even as a result of migration from Southern Italy where Greeks and Phoenicians settled.
More quantum chemistry with fewer qubits
Authors: Günther Jakob , Baiardi Alberto , Reiher Markus , Christandl Matthias
Published: October 2024

Quantum computation is one of the most promising new paradigms for the simulation of physical systems composed of electrons and atomic nuclei, with applications in chemistry, solid-state physics, materials science, and molecular biology. This requires a truncated representation of the electronic structure Hamiltonian using a finite number of orbitals. While it is, in principle, obvious how to improve on the representation by including more orbitals, this is usually unfeasible in practice (e.g., because of the limited number of qubits available) and severely compromises the accuracy of the obtained results. Here, we propose a quantum algorithm that improves on the representation of the physical problem by virtue of second-order perturbation theory. In particular, our quantum algorithm evaluates the second-order energy correction through a series of time-evolution steps under the unperturbed Hamiltonian. An important application is to go beyond the active-space approximation, allowing to include corrections of virtual orbitals, known as multireference perturbation theory. Here, we exploit the fact that the unperturbed Hamiltonian is diagonal for virtual orbitals and show that the number of qubits is independent of the number of virtual orbitals. This gives rise to more accurate energy estimates without increasing the number of qubits. Moreover, we demonstrate numerically for realistic chemical systems that the total runtime has highly favorable scaling in the number of virtual orbitals compared to previous studies. Numerical calculations confirm the necessity of the multireference perturbation theory energy corrections to reach accurate ground-state energy estimates. Our perturbation theory quantum algorithm can also be applied to symmetry-adapted perturbation theory. As such, we demonstrate that perturbation theory can help to reduce the quantum hardware requirements for quantum chemistry.

Published by the American Physical Society
2024
From orbital to paramagnetic pair breaking in layered superconductor
2H−NbS2
Authors: Pizzirani D. , Ottenbros T. , van Rijssel M. , Zheliuk O. , Kreminska Y. , Rösner M. , Linnartz J. F. , de Visser A. , Hussey N. E. , Ye J. , Wiedmann S. , van Delft M. R.
Published: October 2024

The superconducting transition-metal dichalcogenides 2H−NbSe2 and 2H−NbS2 are intensively studied on account of their unique electronic properties such as Ising superconductivity, found in multi- and monolayers, with upper critical fields beyond the Pauli limit. Even in bulk crystals, there are reports of multiband superconductivity and exotic states, such as the Fulde-Ferrell-Larkin-Ovchinnikov phase. In this work, we investigate the superconducting properties of 2H−NbS2 through a detailed high-field mapping of the phase diagram by means of magnetotransport and magnetostriction experiments. We compare the phase diagram between bulk crystals and a 6-nm-thick flake of 2H−NbS2 and find a drastically enhanced Maki parameter in the flake, signifying a change of the relevant pair-breaking mechanism from orbital to paramagnetic pair breaking, which we attribute to an effect of enhanced spin-orbit coupling.

Published by the American Physical Society
2024
Disruptive production process innovation for sustainable business: evidence from an emerging economy
Authors: Khan Md. Rahat , Arif Md. Zahir Uddin , Rammal Hussain Gulzar
Published: October 2024

Purpose

The study aimed to develop a disruptive production process innovation model from an emerging economy's agro-based dairy farming perspective based on the case of a Bangladeshi model dairy farm named Central Cattle Breeding and Dairy Farm (CBBDF), Savar, Dhaka.

Design/methodology/approach

The study used qualitative in-depth interviews, participants and document observation. Around 20 key informants were purposefully selected from the case organization.

Findings

The findings propose two different models for disruptive production process innovation toward sustainable agribusiness dairy farming from an emerging economy perspective and the modified process model from traditional dairy farms to modern dairy based on the stakeholders' (such as consumers, owners, managers and government) demand.

Originality/value

This study is the first attempt to develop a disruptive production process innovation and technology model for the dairy industry and its stakeholders' responsibilities from the experience of an emerging economy. The value of the research is in identifying factors under traditional dairy farming that need to be reduced and eliminated, and the factors under society, health concerns and value-added to existing farms need to be raised as per the global industry standard.
Economic policy uncertainty and the predictability of stock returns: impact of China in Asia
Authors: Chen Xiaoyue , Li Bin , Singh Tarlok , Worthington Andrew C.
Published: October 2024

Purpose

Motivated by the significant role of uncertainty in affecting investment decisions and China's economic leadership in Asia, this paper investigates the predictive role of exposure to Chinese economic policy uncertainty at the individual stock level in large Asian markets.

Design/methodology/approach

We estimate the monthly uncertainty exposure (beta) for each stock and then employ the portfolio-level sorting analysis to investigate the relationship between the China’s uncertainty exposure and the future returns of major Asian markets over multiple trading horizons. The raw returns of the high-minus-low portfolios are then adjusted using conventional asset pricing models to investigate whether the relationship is explained by common risk factors. Finally, we check the robustness of the portfolio-level results through firm-level Fama and MacBeth (1973) regressions.

Findings

Applying portfolio-level sorting analysis, we reveal that exposure to Chinese uncertainty is negatively related to the future returns of large stocks over multiple trading horizons in Japan, Hong Kong and India. We discover this is unexplained by common risk factors, including market, size, value, profitability, investment and momentum, and is robust to the specification of stock-level Fama and MacBeth (1973) regressions.

Research limitations/implications

Our analysis demonstrates the spillover effects of Chinese economic policy uncertainty across the region, provides evidence of China's emerging economic leadership, and offers trading strategies for managing uncertainty risks.

Originality/value

The findings of the study significantly improve our understanding of stock return predictability in Asian markets. Unlike previous studies, our results challenge the leading role of the US by providing a new intra-regional return predictor, namely, China’s uncertainty exposure. These results also evidence the continuing integration of the Asian economy and financial markets. However, contrary findings for some Asian markets point toward certain market-specific features. Compared with market-level research, our analysis provides deeper insights into the performance of individual stocks and is of particular importance to investors and other market participants.
Career transition and mentorship nexus: unmasking the mediating role of career adaptability
Authors: Orji Chibueze Tobias , Herachwati Nuri
Published: October 2024

Purpose

To avoid indecisiveness and a lack of direction in making a successful career transition, it may be necessary to modify the career transition process through career mentorship (CM). The study aims to investigate career adaptability as pathways through which CM is related to trainees’ career transition.

Design/methodology/approach

A three times cross-sectional data were collected from 480 national industrial skills development program (NISDP) trainees among five industrial training fund (ITF) trainees in Southeastern Nigeria.

Findings

The analysis revealed that CM positively associated with the trainees’ career transition behaviors. CM is also positively associated with the trainees’ career adaptability. Also, career adaptability is positively associated with trainees’ career transition behaviors. Likewise, career adaptability mediated the link between CM and career transition behaviors.

Originality/value

Conducting the study in a previously neglected context extended our understanding of the indirect relationship between CM and trainees’ career transition behavior.
The impact of social ties on balanced vs combined innovation: the role of dynamic capabilities and innovation climate in knowledge-intensive business services firms
Authors: Khalid Khalizani , Ahmad Syed Zamberi , Behery Mohamed
Published: October 2024

Purpose

This study aims to investigate the impact of business ties, political ties and dynamic capabilities on balanced and combined ambidextrous innovation within the knowledge-intensive business services sector using the dynamic capability view framework. It explores the mediation role of dynamic capabilities in the relationship between business and political tie with these forms of innovation. In addition, it examines how innovation climate moderates the relationship between dynamic capabilities and ambidextrous innovation.

Design/methodology/approach

Multilevel analysis was conducted on 520 individuals from 61 KIBSs firms in the UAE using AMOS 26.

Findings

Results showed that BT indirectly affect both balanced and combined AI, with a greater impact on combined innovation. However, DCs did not significantly mediate the relationship between PT and AI. In addition, the IC was found to moderate the effects of DCs on both types of AI, with a stronger effect on combined innovation.

Originality/value

This study contributes to the literature by highlighting the importance of DCs and climate in the context of innovation and ambidexterity and by advancing the understanding of how these capabilities and organizational factors promote superior innovation.
Scrutinizing a frugal lifestyle in spiritual dimensions: an Islamic ethical consumption framework
Authors: Pusparini Martini Dwi , Herianingrum Sri , Bahari Zakaria , Furqani Hafas
Published: October 2024

Purpose

The purpose of this paper is to study in depth about frugal lifestyle and analyze it within the framework of the principles of Islamic consumption ethics.

Design/methodology/approach

This research uses a textual–contextual approach to explore the concepts of frugal and Islamic consumption by studying various existing literature.

Findings

The research findings highlight both similarities and notable differences between frugal and Islamic consumption. While they share aspects such as materialism, avoidance of materialism and support for sustainable consumption, the contrast lies in the fact that Islamic consumption is rooted in faith and devotion to Allah SWT. Unlike the primarily individual-focused and worldly orientation of frugal concepts, Islamic consumption is motivated by a commitment to individual desire and social balance, also well-being in both the present and the hereafter. Islamic consumption places an unique emphasis on social solidarity, a feature absent in the individualistic long-term goals of a frugal lifestyle.

Practical implications

This study offers a valuable contribution to marketers, particularly those who are engaged in the Islamic marketing field. Marketers are keen on understanding frugal consumers as a potential emerging market segment.

Originality/value

To the best of the authors’ knowledge, this study is considered the first attempt to link the idea of frugality with the Islamic ethical principles of consumption. It highlights how Muslims should comprehend the concept of frugality accurately, avoiding misinterpretations that portray it solely as a means to combat materialism and consumerism, as has been commonly understood.
Do schools have hindrance of quality to promote innovativeness? Examining the role of empowering leadership and stakeholder involvement
Authors: Birasnav M. , Dahiya Rinki , Bharti Teena
Published: October 2024

Purpose

Schools provide high priorities to offer innovative curricular and cocurricular programs, and leaders make necessary efforts to promote enablers and overcome disablers for sustaining their innovativeness. With the background of quality management and stakeholder theories, the present study examines the interplay of hindrances to quality between empowering leadership, stakeholder involvement and organizational innovativeness.

Design/methodology/approach

Responses of 157 American school principals collected through the Teaching and Learning International Survey 2018 by the Organization for Economic Cooperation and Development were used and analyzed to test the proposed hypotheses.

Findings

Results show that empowering leadership behaviors of school principals support promoting organizational innovativeness, and involvement of stakeholders with the school activities also promotes organizational innovativeness. Interestingly, when American schools faced a high level of hindrance to providing quality education to their students, principals’ high level of empowering leadership behaviors promoted organizational innovativeness.

Originality/value

This is the first time in the literature that the interplay between empowering leadership, stakeholder involvement and hindrance of quality education has been examined to promote organizational innovativeness.
The extent of overtourism in some European locations using multi-criteria decision-making methods between 2014 and 2023
Authors: Nádasi Levente , Kovács Sándor , Szőllős-Tóth Andrea
Published: October 2024

Purpose

Overtourism has been identified as a significant global problem with numbers of negative externalities. The purpose of this paper is to contribute to the establishment of a standard that objectively measures the extent of tourism to produce a dynamic ranking of selected European settlements, as there is a lack of studies using sophisticated statistical methods to analyse secondary data on overtourism.

Design/methodology/approach

The 28 selected sites, studied according to their involvement in overtourism, were ranked using multi-criteria decision-Mmaking Methods between 2014 and 2023. Rankings were calculated by VIKOR, TOPSIS and MMOORA, and an aggregate ranking was created by using the cross-entropy optimization. Additionally, the annual changes in the rankings were presented graphically using principal component analysis on a two-dimensional space, referred to as the “sites' space.” Finally, the sites were clustered into three distinct groups based on their level of overtourism: less, medium and more. This was achieved through the use of the K-means algorithm.

Findings

Following the onset of the pandemic in 2020, there was a notable decline in overtourism. However, following the year 2021, the numbers began to rise once more, and by 2022, they had returned to their pre-pandemic levels. Among the methods, MMOORA demonstrated the most effective performance in comparison to the optimal ranking.

Originality/value

The applied methods with novel rank aggregation could also shed light on the most relevant indicators to overtourism. These included the number of nights spent in paid accommodation per population, the number of overnight visits per population and the number of air passengers.
Big data analytics managerial skills and organizational agility: a moderated mediation model
Authors: Zhang Mengru , Wang Yuting , Wang Wei
Published: October 2024

Purpose

Although big data analytics managerial skills (BDAMS) offer opportunities for firms to foster organizational agility, existing studies present inconclusive indications of this impact, with an overlooking of the intermediate pathways involved. This study explored how BDAMS affect organizational agility by investigating the mediation effect of data-driven organizational learning (DDOL) and the moderating roles of technological and market turbulence.

Design/methodology/approach

This study employed mediation and moderated mediation analyses to test the hypotheses using data collected from listed Chinese firms. Furthermore, we performed a fuzzy set qualitative comparative analysis (fsQCA) as a supplementary approach to identify the configurations that lead to organizational agility.

Findings

This study shows that DDOL partially mediates the relationship between BDAMS and organizational agility. Besides, technological and market turbulence positively moderate the effect of DDOL on organizational agility and the mediation effect of DDOL. Our additional analyses also reveal several patterns of conditions that facilitate agility.

Originality/value

This study offers a comprehensive exploration of the relationship between BDAMS and organizational agility by verifying the mediating effect of DDOL and moderating effects of technological and market turbulence. In addition, the fsQCA results highlighted the combinatorial effects of key factors in this study, reinforcing and refining the moderated mediation results.
A dynamic capability perspective on the impact of big data analytics and enterprise architecture on innovation: an empirical study
Authors: Pathak Sunil , Krishnaswamy Venkataraghavan , Sharma Mayank
Published: October 2024

Purpose

The prevailing conceptualization of information system (IS) capabilities, rooted in the resource-based view (RBV) framework, tends to focus on unique firm resources. In the digital age, as emphasized by dynamic capabilities (DC), resource reconfiguration is critical in maintaining strategic advantage. This paper focuses on big data analytics capabilities (BDAC) from a DC perspective to present a novel conceptualization of BDAC–DC. We examine its effects on product, business model and business process innovation, including the effects of enterprise architecture (EA) on the BDAC business model innovation relationship.

Design/methodology/approach

This research presents a novel DC-based BDAC conceptualization, operationalized as a hierarchical construct. A survey-based approach is used for data collection and data analysis is done using partial least squares structural equation modeling (PLS-SEM).

Findings

The novel conceptualization and the effects of BDAC DC on BDA sensing-seizing and reconfiguration capacities support BDAC’s functional and evolutionary roleplay. Empirical results confirm the positive effects of BDAC–DC on first-order value targets (innovation) and the moderating effects of EA.

Research limitations/implications

The novel BDAC–DC conceptualization has several implications for BDAC, DC, EA and business value research. Practicing managers must adopt a multifaceted approach to BDAC development by considering non-technical and organizational factors, collaborate with their business counterparts to explore unique big data ideas, initiate proof-of-concept projects to secure support and allocate resources synchronously, considering a multidimensional view of the process, product and business model innovation.

Practical implications

Practicing managers must adopt a multifaceted approach to BDAC development by considering non-technical and organizational factors, collaborate with their business counterparts to explore unique big data ideas, initiate proof-of-concept projects to secure support and allocate resources synchronously, considering a multidimensional view of the process, product and business model innovation for synergistic outcomes.

Originality/value

To the best of our knowledge, this research is the first attempt toward DC-based BDAC conceptualization, empirical validation of first-order effects on various forms of innovation and the often-overlooked role of critical EA capability.
Included and engaged: the significance of perceived inclusion among healthcare workers
Authors: Mashhady Arash
Published: October 2024

Purpose

This study investigates the impact of perceived inclusion among healthcare employees on intrinsic motivation and its subsequent effects on work engagement and stress levels. Drawing from multiple theoretical frameworks, the study hypothesizes the following: (a) perceived inclusion positively influences employees' intrinsic motivation, and (b) perceived inclusion and intrinsic motivation serve as resources that enhance employee well-being by promoting work engagement and reducing stress.

Design/methodology/approach

Data were collected from 407 healthcare workers across the European Union. The research objectives were achieved through statistical analysis of the gathered responses.

Findings

The results indicate a positive relationship between perceived inclusion and intrinsic motivation. Importantly, both perceived inclusion and intrinsic motivation emerged as significant predictors of work engagement. Additionally, perceived inclusion was found to have a negative association with stress levels, underscoring its importance in healthcare management.

Research limitations/implications

The study is subject to certain limitations, including the cross-sectional design and reliance on self-reported data, which may affect the generalizability of the findings.

Practical implications

The findings highlight the importance of fostering perceived inclusion and intrinsic motivation among healthcare employees to enhance work engagement and reduce stress, thus offering valuable insights for healthcare management practices.

Originality/value

This study contributes to the existing literature by examining the complex interplay between perceived inclusion, intrinsic motivation, work engagement and stress within the healthcare sector. It also identifies avenues for future research in this area.
Social sustainability in the hospitality and tourism supply chains: what can we learn from existing research and what remains unexplored?
Authors: Elbelehy Chéhab , Crispim José
Published: October 2024

Purpose

This research systematically reviews the literature on social sustainability within hospitality and tourism supply chains (H&T SCs). The aim is to identify research approaches, emerging themes, geographic and sectoral scopes and current gaps in understanding social sustainability practices in this sector.

Design/methodology/approach

The review has been carried out using the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines” (PRISMA). The authors analyzed 17 peer-reviewed journal papers from 2008 to the present.

Findings

Early research focused on qualitative methods and developed countries, while recent studies have shifted to quantitative approaches. There is a notable gap in using multi-criteria decision-making for social sustainability. The review identified eight categories of social practices, with the most attention given to “society and community development” and the least to “human rights.”

Research limitations/implications

To enhance social sustainability, businesses and policymakers should focus on improving supply chain collaboration, standardizing social sustainability metrics, assessing stakeholder perceptions and supporting small enterprises in developing countries. This review is limited to English open-access journals and excludes studies in other languages. Additionally, by not including articles on sustainable tourism or development – which often emphasize environmental and economic aspects – important social dimensions may have been overlooked. Future research should broaden search parameters to achieve a more comprehensive understanding of social sustainability in H&T SCs.

Originality/value

This study addresses a critical gap in the literature on social sustainability within H&T SCs, particularly in databases like Web of Science and Scopus, offering new insights and directions for future research.
The impact of intellectual capital and market capitalization on corporate investment decisions: exploring the mediating and moderating effect of knowledge sharing and the COVID-19 pandemic
Authors: Thi Nhat Minh To , Dinh Nguyen Phan
Published: October 2024

Purpose

This paper examines the effect of intellectual capital (IC) and market capitalization (MC) on corporate investment decisions (ID) through the mediating and moderating effects of knowledge/information sharing (KS) and the Covid-19 pandemic.

Design/methodology/approach

With the use of SPSS 26 and SmartPLS version 3.0, the partial least square structural equation modelling (PLS-SEM) technique is employed with 1,036 observations to examine the effects.

Findings

Our findings show that IC and social interactions (SI) have a positive effect on KS. KS affects positively both MC and ID. KS has the mediating and moderating effects while the Covid-19 has the moderating impact on ID.

Practical implications

This research suggests that company leaders should understand the important role of IC and MC in enhancing ID through KS. They should pay attention to MC to enhance their investment and SI among employees, partners, consumers and authorities should be encouraged.

Originality/value

This research contributes to the existing literature by employing the perceptual scale to examine the effect of IC and MC, the mediating and moderating effects of KS, and analyze the moderating role of the Covid-19 on ID. It also expands the current models by including the Covid-19 and MC to clarify the ID determinants. New measurements of MC and the Covid-19 constructed are also another contribution.
Understanding critical service factors in neobanks: crafting strategies through text mining
Authors: Bhatnagr Puneett , Rajesh Anupama , Misra Richa
Published: October 2024

Purpose

This study aims to analyse and understand customer sentiments and perceptions from neobanking mobile applications by using advanced machine learning and text mining techniques.

Design/methodology/approach

This study explores a substantial large data set of 330,399 user reviews available in the form of unstructured textual data from neobanking mobile applications. This study is aimed to extract meaningful patterns, topics, sentiments and themes from the data.

Findings

The results show that the success of neobanking mobile applications depends on user experience, security features, personalised services and technological innovation.

Research limitations/implications

This study is limited to textual resources available in the public domain, and hence may not present the entire range of user experiences. Further studies should incorporate a wider range of data sources and investigate the impact of regional disparities on user preferences.

Practical implications

This study provides actionable ideas for neobanking service providers, enabling them to improve service quality and mobile application user experience by integrating customer input and the latest trends. These results can offer important inputs to the process of user interaction design, implementation of new features and customer support services.

Originality/value

This study uses text mining approaches to analyse neobanking mobile applications, which further contribute to the growing literature on digital banking and FinTech. This study offers a unique view of consumer behaviour and preferences in the realm of digital banking, which will add to the literature on the quality of service concerning mobile applications.
Cyborging HRM theory: from evolution to revolution – the challenges and trajectories of AI for the future role of HRM
Authors: Rabenu Edna , Baruch Yehuda
Published: October 2024

Purpose

Human Resource Management (HRM) is a critical organizational function, which has continued to evolve. We aim to explore how different HRM will be in the workplace of the future and why, from both strategic and practical perspectives. We present and discuss core HRM practices, such as recruitment, selection and training, as well as peripheral activities, such as monitoring health and safety, and diversity management, reflecting on how they may transform in the workplace of the future.

Design/methodology/approach

This is a conceptual thought piece, building on the Substitution, Augmentation, Modification and Redefinition (SAMR) model, to offer a futuristic view of HRM in the era of AI.

Findings

Discussing the contemporary challenges of Artificial Intelligence, which we predict will lead to what we term Cyborging HRM.

Practical implications

This study can help HR managers and practitioners to be prepared for AI-embedded HRM systems in the future. For academics, it offers an innovative framework to establish future writing on HRM in the AI era.

Originality/value

AI is pushing HRM and the profession will have to undergo a revolutionary rather than evolutionary transformation in order to remain a necessary and valuable function for organizations. Our elaboration of the SAMR model and suggested implications for the future transformation of HRM should be worthwhile to organizations, management and the wider society.
Digitalisation in food supply chains to build resilience from disruptive events: a combined dynamic capabilities and knowledge-based view
Authors: Pal Tapabrata , Ganguly Kunal , Chaudhuri Atanu
Published: October 2024

Purpose

Building resilience in food supply chains is considered vital to tackle disruptions and ensure the availability of food. This study aims to empirically explore how firms operating in food supply chains can develop dynamic capabilities and use digital technologies to address disruption.

Design/methodology/approach

A multiple case study methodology was adopted to understand how the firms built resilience by developing dynamic capabilities. Twenty-five semi-structured interviews were conducted with four case companies to gather data across various functional areas (sourcing, operations and logistics).

Findings

Results show that knowledge management is a key antecedent to developing dynamic capabilities. The development of such dynamic capabilities − sensing, seizing and transforming, along with the adoption of digital technologies enabled firms to address the disruptions and, hence, build resilience. Resilience is demonstrated in the form of maintaining or improving performance outcomes such as profit, waste reduction, food quality, lead time, efficiency and customer satisfaction.

Originality/value

This is one of the earliest empirical studies that provide insights into how firms operating in food supply chains have built resilience by developing dynamic capabilities through knowledge management practices and, which required the implementation of digital technologies. The study extends dynamic capability theory with the knowledge-based view and develops a novel framework along with a pathway to build resilience.
Electroanalytical detection of fruit ethylene by a novel electroactive biosensing membrane
Authors: Roy Diptarka , Gandhi Sukhmani , Gal-Oz Reshef , Vernick Sefi , Ghosh Moushumi
Published: October 2024

Purpose

This study aims to present an innovative approach to detect and monitor ethylene gas during fruit ripening.

Design/methodology/approach

It uses a specialized composite membrane in conjunction with a solid-state electrochemical method. This unique electroactive membrane, composed of polyvinyl alcohol (PVA), chitosan (CHT), lithium chloride (LiCl) and ammonium molybdate (AMO), exhibits synergistic behavior when applied to a microelectrode chip surface. This composite enhances the sensitivity of electrochemical ethylene detection. Empirical experiments were conducted to elucidate the ripening kinetics in various fruit specimens, including apples, pears and mangoes. These fruits released ethylene, which was analyzed using the molybdenum-permeated electroactive biopolymer composite membrane, a critical determinant of ethylene levels.

Findings

Characterization of the synthesized composite through techniques such as X-ray diffraction and Fourier-transform infrared spectroscopy revealed reduced crystallinity and decreased hydrogen bond interactions upon activation with Mo ions. Field emission scanning electron microscopy images exhibited a distinctive porous surface morphology with spherical microgranules. Energy dispersive X-ray analysis indicated a significant change in the mass or atomic composition of Mo in the composite membrane after Mo ion activation. Electrochemical measurements, including cyclic voltammetry and potentiostatic electrochemical impedance spectroscopy, validated the efficiency of the Mo-activated PVA-CHT-LiCl-AMO membrane, manifesting an impressive 87.79% increase in sensitivity compared to the nonactivated membrane.

Practical implications

This research work represents a significant advancement in the field of ethylene detection and fruit ripening monitoring. The Mo-activated PVA-CHT-LiCl-AMO membrane offers a reliable and effective solution for real-time ethylene detection, providing an invaluable tool for the horticultural industry to optimize fruit ripening processes, extend shelf life and ensure the delivery of high-quality produce to consumers.

Social implications

The findings of this study hold great promise for fostering sustainability and efficiency within the global fruit supply chain, ultimately benefiting both producers and consumers alike.

Originality/value

The implications of this research extend to the fabrication of a sensor based on a solid-state electroactive PVA-CHT-LiCl-AMO composite membrane, which upon Mo-activation exhibits robust electrochemical fruit ethylene detection when exposed to different fruits.
Entropy generation of Williamson hydromagnetic non-linear radiative nanofluid flow near a stagnation point over a porous stretching sheet
Authors: Jyothi Nagisetty , Avula Golla Vijaya Kumar
Published: October 2024

Purpose

This study aims to analyze the multi-slip effects of entropy generation in steady non-linear magnetohydrodynamics thermal radiation with Williamson nanofluid flow across a porous stretched sheet near a stagnation point. Also, the qualities of viscous dissipation, Cattaneo–Christove heat flux and Arrhenius activation energy are taken into account. Thermophoresis, Brownian motion and Joule heating are also considered.

Design/methodology/approach

The Navier–Stokes equation, the thermal energy equation and the Solutal concentration equations are the governing mathematical equations that describe the flow and heat and mass transfer phenomena for fluid domains. By using the proper similarity transformations, a set of ordinary differential equationss are retrieved from boundary flow equations. The classical Runge–Kutta fifth-order algorithm along with the shooting technique is implemented to solve the obtained first order differential equations.

Findings

The study concludes that the temperature distribution boosting for thermal radiation, magnetic field and Eckert number where as the velocity and entropy generation escalate for the Williamson parameter, diffusion parameter and Brinkman number. The skin-friction and heat and mass transfer rate increases with the fluid injection. In addition, tabulated values of friction drag and rate of heat and mass transfer for various values of constraints are provided.

Originality/value

The comparison of the present results is carried out with the published results and noted a good agreement.