bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organizational performance as dependent variable in strategic human resource management literature – a journey so far
Authors: Chourasia Anurag , Bahuguna P.C. 
Published: October 2024

PurposeOrganizational performance (OP) is one of the most important constructs in management research and all functions are evaluated by their contribution toward OP. This paper evaluates the current state of the research on OP in strategic human resource management (SHRM) literature. The study intends to generate new ideas for ongoing research in the field, facilitate the strategic alignment of HR operations and provide practical guidance on adopting OP measurement metrics for evidence-based decision-making at both organizational and individual levels. Consequently, a dual-method systematic review methodology was employed to achieve the stated objectives. This research underpins its theoretical argument on a resource-based view.Design/methodology/approachThis research paper follows a systematic review of 127 empirical studies conducted in the last three decades, in which, the selection of OP as a dependent variable is evaluated. This systematic review followed the integrated and systemic review of literature combining Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and bibliometric analysis. The tools used for bibliometric analysis are Biblioshiny package from R software and VOSviewer software.FindingsOut of selected 127 empirical studies, none of the studies provide a comprehensive measuring framework. As a result, the current literature review provides an expanded list of OP indicators and a measurement framework with 10 different performance perspectives based on Business Process Measurement literature.Research limitations/implicationsPerformance is a complex concept that requires understanding its relationships and the impact of context and measures. Objective measures alone may not capture this, so research is needed to determine the best combinations of subjective and objective measures. This systematic literature review identifies gaps in existing literature on performance measurement indicators in management and provides an exhaustive list of 161 indicators. These indicators can be used by practitioners and researchers to choose appropriate ones based on their needs. Future research should focus on case studies to validate results and enhance performance measurement systems in SHRM research.Practical implicationsThe study emphasizes the importance of examining the multidimensionality of OP, which is linked to stakeholders affected by performance measures, the assessment environment, and the time frame when gauging performance.Originality/valueThis review analyzed the intellectual structure of SHRM and OP research field and identified various research fronts. This study added to the literature a measurement framework with 10 perspectives in which 161 performance indicators were categorized.
How does market competition affect the reporting of sustainability practices? Insights from the UK and Germany
Authors: Hassanein Ahmed , Elmaghrabi Mohamed 
Published: October 2024

PurposeThis study tests the proprietary cost of reporting sustainability practices. It explores how market competition impacts the reporting of corporate sustainability information. Further, it examines whether the influence of market competition on sustainability reporting is affected by firm size.Design/methodology/approachIt uses two samples of the UK FTSE 350 and German Frankfurt CDAX nonfinancial firms from 2010 to 2023. The sustainability reporting scores for UK and German firms are their Environmental, Social and Governance (ESG) disclosure scores based on the Bloomberg disclosure index. The Herfindahl–Hirschman index has been utilized to measure a firm’s degree of market competition.FindingsThe results reveal that reporting sustainability practices is a negative function of the degree of market competition. Specifically, companies in highly competitive industries disclose less information about their sustainability practices, suggesting that firms view sustainability reporting as a potential source of competitive disadvantage and, therefore, choose to limit such disclosures to maintain a strategic advantage over rivals. Further, the findings reveal a negative impact of market competition on sustainability reporting among small firms. However, this effect is weak or absent among medium and large firms. The results are more observable in the liberal market economy (i.e. the UK) than in the coordinated market economy (i.e. Germany).Practical implicationsIt provides implications for policymakers and market participants to advocate for more significant policies that promote transparency and encourage companies to report their sustainability practices and performance, especially companies in highly competitive industries.Originality/valueIt provides the first evidence of how market competition influences corporate sustainability reporting, adding a deeper insight into another non-financial dimension of sustainability reporting. Likewise, it reflects the varying priorities of companies of different sizes in managing both competition and sustainability reporting. Besides, it is the first to explore this nexus in two distinct jurisdictions: the UK and Germany.
Service modularity in the digital era: integrating environmental sustainability and post-pandemic insights
Authors: Iman Nofie 
Published: October 2024

Purpose
This study aims to explore service modularity in the context of digital technology and environmental sustainability, particularly considering the transformative impacts of the post-pandemic world. It aims to shed light on how service modularity can adapt to and thrive in these evolving circumstances.

Design/methodology/approach
Using a comprehensive analytical approach, this paper addresses the critical concerns and limitations inherent in traditional service modularity concepts. It proposes novel perspectives on service modularity, enriched by recent technological advancements and sustainability imperatives.

Findings
The research reveals new dimensions of service modularity, emphasising its significance in the era of digital transformation and heightened environmental awareness. It provides empirical insights into how service modularity can be effectively reimagined and implemented in response to the challenges and opportunities arising from the COVID-19 pandemic.

Practical implications
The findings offer valuable guidance for organisations seeking to enhance their service delivery through modularity. The study underscores the importance of integrating digital innovation and sustainability principles into service design and execution in the post-pandemic era.

Originality/value
This paper makes a novel contribution to the field of service modularity by intertwining it with the realms of digital technology and environmental sustainability. It offers a unique perspective on adapting service modularity to contemporary challenges, thereby enriching the existing body of literature and providing a foundation for future research in this area.
Balancing customer and employee orientations: impact on financial distress and firm value
Authors: Modi Pratik , Sahi Gurjeet Kaur 
Published: October 2024

PurposeThis paper investigates the effect of balanced orientation (BO) toward customers and employees on financial distress and firm valuation. Rooted in stakeholder theory and the attention-based theory of firms, the study aims to understand how a balanced synthesis of employee orientation (EO) and customer orientation (CO) influences the long-term market performance and survivability of firms, particularly in the context of emerging markets.Design/methodology/approachA panel dataset of the top 500 firms listed on the National Stock Exchange of India was analyzed using fixed-effect panel models with robust estimators. The Heckman procedure was employed to address selection bias. Financial data were sourced from the CMIE Prowess database and balanced orientation data were extracted from the annual letters to shareholders.FindingsThe study finds that a balanced approach to EO and CO significantly lowers bankruptcy risk and increases firm valuation. Contrary to the traditional dichotomy of EO and CO, BO emerges as a key driver in reducing financial distress and enhancing long-term market performance. Firms embracing multiple strategic orientations outperform those solely focused on customer orientation.Practical implicationsFor emerging market firms facing resource constraints, developing BO is challenging but crucial. This study suggests adopting a sequential or alternating approach to developing EO and CO, which can alleviate bankruptcy risk and improve market valuation even in competitive environments.Originality/valueThis paper contributes to the existing literature by empirically demonstrating the significance of BO in emerging markets. It offers a novel perspective on strategic management, highlighting the importance of balancing customer and employee needs, especially in resource-constrained environments.
Emerging challenges of SMEs for the post-COVID-19 era: implications for gresilience and sustainability
Authors: Jha Pradeep K. , Ghorai Suvadip , Jha Rakhi , Singh Surya Prakash 
Published: October 2024

PurposeThe main aim of this paper is to investigate key challenges that hinder sustainable and resilient green supply chain (GSC) building in small and medium-sized enterprises (SMEs) with respect to how they interact after the COVID era.Design/methodology/approachUsing a questionnaire, policymakers and industry managers from SMEs identify the main obstacles that will affect their resilience. These issues are then discussed with 50 experienced professionals from the top management field and further divided into sustainability and gresilience challenges. The Grey-DEMATEL (Grey sets and Decision-Making Trial and Evaluation Laboratory) has been employed to assess the significance of challenges to SMEs' development of green resilience. Overall, the paper aims to build up a novel decision-making technology for the interconnectedness of green and resilience in the post-pandemic supply chain world.FindingsThe 12 sustainability and gresilience challenges highlighted by experts in the sector were analyzed. Insufficient government assistance and the handling of resources are the most significant challenges to developing a sustainable and gresilient value chain system, according to the study. The study highlights supply chain restructuring, waste reduction management, shortages of skilled manpower and insufficient knowledge of digitalization as key challenges for SMEs to prioritize.Practical implicationsThe outcomes of this research are crucial for SMEs building resilient supply networks through the green concept. Policymakers may utilize the data to pinpoint shortcomings in the supply chain for tactical as well as strategic development and improvement.Originality/valueWhen it comes to building green resilience and sustainability in an unpredictable business climate, the outcomes of this research will be significant for SMEs.
One‐dimensional deep learning inversion of marine controlled‐source electromagnetic data
Authors: Li Pan , Du Zhijun , Li Yuguo , Wang Jianhua 
Published: October 2024

AbstractThis paper explores the application of machine learning techniques, specifically deep learning, to the inverse problem of marine controlled‐source electromagnetic data. A novel approach is proposed that combines the convolutional neural network and recurrent neural network architectures to reconstruct layered electrical resistivity variation beneath the seafloor from marine controlled‐source electromagnetic data. The approach leverages the strengths of both convolutional neural network and recurrent neural network, where convolutional neural network is used for recognizing and classifying features in the data, and recurrent neural network is used to capture the contextual information in the sequential data. We have built a large synthetic dataset based on one‐dimensional forward modelling of a large number of resistivity models with different levels of electromagnetic structural complexity. The combined learning of convolutional neural network and recurrent neural network is used to construct the mapping relationship between the marine controlled‐source electromagnetic data and the resistivity model. The trained network is then used to predict the distribution of resistivity in the model by feeding it with marine controlled‐source electromagnetic responses. The accuracy of the proposed approach is examined using several synthetic scenarios and applied to a field dataset. We explore the sensitivity of deep learning inversion to different electromagnetic responses produced by resistive targets distributed at different depths and with varying levels of noise. Results from both numerical simulations and field data processing consistently demonstrate that deep learning inversions reliably reconstruct the subsurface resistivity structures. Moreover, the proposed method significantly improves the efficiency of electromagnetic inversion and offers significant performance advantages over traditional electromagnetic inversion methods.
Understanding the effects of pore pressure–induced crack deformation on the acoustic anisotropy of rocks with aligned cracks
Authors: Wang Han , Han Tongcheng , Fu Li‐Yun 
Published: October 2024

AbstractCracks are extensively existing in rocks and play a significant role in the acoustic anisotropy of cracked rocks. Rocks in nature are affected by pore pressure, whereas the crack deformation with pore pressure and the impacts of the crack deformation on the anisotropic acoustic properties remain little known. Combining the theoretical model with the laboratory measurements of the anisotropic velocities of artificial sandstone samples with and without aligned penny‐shaped cracks, we invert for the crack parameters that characterize the crack deformation as a function of pore pressure and theoretically simulate the impacts of pore pressure–induced variation in the crack parameters on the anisotropic velocities. The results show that with increasing pore pressure, the inverted crack porosity increases exponentially, whereas the inverted crack aspect ratio decreases exponentially and the two crack parameters are linearly correlated. Moreover, model calculation demonstrates that the anisotropic velocities exhibit distinct reductions with the variation in the crack parameters caused by increasing pore pressure. In particular, the reduction in the velocity of the shear wave travelling parallel to the crack plane with polarization perpendicular to the crack plane is the most pronounced. We also demonstrate that the effects of the pore pressure–induced increasing crack porosity on the anisotropic velocities are more pronounced than the impacts of the decreasing crack aspect ratio. The findings not only reveal the variation of the crack geometry with pore pressure and the effects of the crack deformation on the anisotropic velocities of the cracked rocks but also can provide theoretical support for improving the characterization of the cracks through seismic survey.
Personal reflections on inclusion
Authors: Glazzard Jonathan 
Published: October 2024

AbstractThe Special Educational Needs and Disability (SEND) landscape in England is bleak. Since the COVID‐19 pandemic, the number of pupils with SEND has increased. There is a shortage of places available in specialist SEND provision, and many pupils with SEND are being educated in alternative provision settings which arguably do not meet their needs. Mainstream schools are struggling to meet the needs of pupils with increasingly complex needs and there has been a lack of financial investment in specialist support services, resulting in delays to assessments and interventions. Drawing on personal and lived experience, I argue that impairment can be painful and sometimes disabling. I argue that although social model has made a significant difference to the lives of disabled people, its ambition has not been fully realised. Disabled people still experience discrimination within education, housing, employment and in other areas. I argue that impairment is real, painful and disabling and can result in personal struggle. I therefore make the case that people with impairments require additional support as a ‘step up’ to guarantee equality of opportunity. Urgent investment is required in specialist SEND services to ensure that unnecessary struggle is avoided.
Investigating antimicrobial and antioxidant activity of liquid smoke and physical‐chemical stability of bacon subjected to liquid smoke and conventional smoking
Authors: Brustolin Adriane Pegoraro , Soares Juliana Marques , Muraro Karem , Schwert Rodrigo , Steffens Clarice , Cansian Rogério Luis , Valduga Eunice 
Published: October 2024

AbstractLiquid smoke, an alternative to traditional wood burning smoking, enhances product value by imparting desirable characteristics such as aroma, flavor, and color. Furthermore, it contains components with inherent antimicrobial and antioxidant properties. This study compares the effects of liquid smoke and conventional smoking methods in bacon processing. Over a 90‐day storage period at 22°C, physical‐chemical stability, sensory attributes, and microbiological characteristics of the bacon were evaluated. The antimicrobial and antioxidant properties of liquid smoke were assessed. Liquid smoke exhibited antioxidant activity, with an inhibitory concentration (IC50) value of 0.19 mg/mL, indicating the concentration of the extract needed to inhibit 50% of DPPH (2,2′‐diphenyl‐1‐picrylhydrazyl) radicals. Moreover, it demonstrated antimicrobial effects against Escherichia coli, Salmonella choleraesius, Staphylococcus aureus, and Listeria monocytogenes, with a minimum bactericidal concentration ranging from 7.5% to 10%. Throughout the storage, bacon treated with liquid smoke showed no signs of rancid odor, supported by thiobarbituric acid reactive substances values below 0.85 mg MDA/kg (where MDA is malondialdehyde). The utilization of liquid smoke yielded visually attractive bacon with enhanced color attributes, including a distinct yellow and red hue, as well as increased luminosity and brightness, surpassing the effects of traditional smoke. Remarkably, liquid smoke application significantly reduced processing time from 30 h to approximately 5 h, leading to substantial cost savings in the processing phase.
Quantitative detection of heavy metal Cd in vegetable oils: A nondestructive method based on Raman spectroscopy combined with chemometrics
Authors: Jiang Hui , Wang Ziyu , Deng Jihong , Ding Zhidong , Chen Quansheng 
Published: October 2024

AbstractHeavy metal contaminants in vegetable oils can cause irreversible damage to human health. In this study, the quantitative detection of Cd in vegetable oils was investigated based on Raman spectroscopy combined with chemometric methods. The necessary preprocessing of the Raman signal was performed using baseline calibration and the Savitzky–Golay method. Three variable optimization methods were applied to the preprocessed Raman spectra. Namely, bootstrap soft shrinkage, multiple feature spaces ensemble strategy with least absolute shrinkage and selection operator, and competitive adaptive reweighted sampling (CARS), respectively. Partial least squares regression (PLSR) modeling for the determination of Cd in vegetable oils. The results show that three variable optimization algorithms improved the predictive performance of the model. Among them, the CARS–PLSR model has strong generalization performance and robustness. Its prediction coefficient of determination () was 0.9995, the root mean square error of prediction was 0.3533 mg/kg, and the relative prediction deviation was 44.3748, respectively. In summary, rapid quantitative analysis of Cd contamination in vegetable oils can be realized based on Raman spectroscopy combined with chemometrics.
Evaluation of nurse practitioners' extended scope of practice in a regional hospital emergency department in tropical Australia
Authors: Jackson Angela , Hawkins Chris , Stone Theona , Anderson Petra , Wilesmith Frances , Little Mark 
Published: October 2024

AbstractObjectivesThere is very little literature examining the workload and impact of nurse practitioners (NPs) working in emergency departments (ED) in regional and rural Australia. The aim of this paper was to review the ED NPs scope of practice in the ED discharge stream and patient outcomes at Cairns Hospital over a 7‐month period.MethodsThis retrospective study examined the ED electronic medical record between 14 May 2019 and 31 December 2019. Cases managed by ED NPs, referrals, procedures performed, representations and disposition data were collected. Adverse events were sought from the Qld Health adverse events register (Riskman), the department complaints register and the ED M&M meeting minutes.ResultsA total of 1443 patients were treated by NPs, with ages ranging from 0 to 98 years (median 40 years). Australasian Triage Score (ATS) 3 cases made up 30% of the workload. Other than ATS 3 cases, time to being seen was better than the general department. There were very few unexpected representations, complaints or adverse events.ConclusionsThis study supports the view that NPs working in a regional emergency department can safely manage a variety of patients outside a fast‐track model, with a wide age range and a variety of triage categories and diagnoses. We believe this has important implications for the provision of emergency care, especially in regional and rural Australia.
Physiologically based pharmacokinetic modelling to predict potential drug–drug interactions of dersimelagon (MT‐7117)
Authors: Ogasawara Akihito , Kojima Koki , Murata Yukiko , Shimizu Hidetoshi 
Published: October 2024

AbstractAimsDersimelagon is a novel, investigational, orally administered, selective agonist of the melanocortin‐1 receptor that has demonstrated efficacy at increasing symptom‐free light exposure and an acceptable safety profile in patients with protoporphyria. A phase 1 drug–drug interaction (DDI) study demonstrated that dersimelagon 300 mg has the potential for clinically relevant DDIs with drugs that are substrates for breast cancer resistance protein, such as atorvastatin and rosuvastatin. This study uses physiologically based pharmacokinetic (PBPK) modelling to further investigate the DDI effects at lower doses of dersimelagon with substrate drugs.MethodsThe data from in silico, in vitro and in vivo studies were used to construct a PBPK model for dersimelagon to assess the DDI potential between dersimelagon and substrate drugs for cytochrome P450 3A, P‐glycoprotein, organic anion transporting polypeptide 1B1/1B3, organic anion transporter 3 and breast cancer resistance protein, including atorvastatin and rosuvastatin.ResultsThe systemic exposure of atorvastatin based on the maximum plasma concentration and area under the plasma concentration–time curve was predicted to increase 1.21‐fold and 1.25‐fold, respectively, if coadministered with dersimelagon 100 mg, and 1.42‐fold and 1.45‐fold with dersimelagon 200 mg. The systemic exposure of rosuvastatin followed trends similar to atorvastatin (1.67‐fold and 1.34‐fold increase in maximum plasma concentration and area under the plasma concentration–time curve, respectively, with dersimelagon 100 mg, and 2.40‐fold and 1.69‐fold with dersimelagon 200 mg).ConclusionOverall, PBPK modelling results indicate that the simulated changes in plasma exposure of atorvastatin and rosuvastatin following coadministration with dersimelagon 100 or 200 mg are not clinically significant, but caution and appropriate clinical monitoring should be recommended.