bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digital transformation and sustainable performance: the mediating role of triple-A supply chain capabilities
Authors: Mohaghegh Matin , Blasi Silvia , Russo Ivan , Baldi Benedetta 
Published: August 2024

Purpose
Drawing on resource orchestration theory, this paper aims to empirically investigate the relationships between digital transformation (DT), triple-A supply chain capabilities (i.e. agility, adaptability and alignment) and sustainable performance. The research focuses on the pharmaceutical industry, which best represents a business environment characterized by volatility, uncertainty, complexity and ambiguity.

Design/methodology/approach
Data were collected at different echelons of a globally oriented pharmaceutical supply chain, with the focal company located in the Netherlands. Empirical data were analyzed with partial least squares – structural equation modelling.

Findings
The findings reveal that DT enhances the triple-A supply chain capabilities. Nevertheless, not all three capabilities are necessary to improve overall sustainable performance. The results highlight that, among the three, only supply chain agility and adaptability significantly mediate the relationship between DT and sustainable performance.

Originality/value
This research supports the literature affirming that not all the triple-A supply chain capabilities equally affect sustainable performance. Moreover, it deepens the understanding of how orchestrating the triple-A capabilities at a firm level fosters overall sustainable performance, facing resource scarcity and investments in DT.
Why small business owners get demotivated? Modeling “unwillingness to grow” using ISM approach
Authors: Tripathi Vaibhav , Dey Prajna Paromita , Nagariya Ramji , Singh Ajai Pratap 
Published: August 2024

PurposeEven after establishing their business successfully, many business owners get demotivated, and it leads to unwillingness to grow. This study aims to propose a comprehensive model that represents interrelationships among various personal factors affecting “unwillingness to grow.”Design/methodology/approachThe personal factors for unwillingness to grow were identified by extant literature, and expert interviews were conducted to establish the contextual relationships among these factors. The interrelationships among the filtered variables have been done using interpretive structural modeling (ISM) and MICMAC analysis was done to determine the importance of each factor in influencing “unwillingness to grow.”FindingsIn total, 30 personal attributes were identified from previous literature, out of which 15 were selected for the final study. The result identifies 7 variables having a strong impact on “unwillingness to grow.” These attributes are “absence of strong network,” “lack of vision,” “lack of proactiveness,” “reluctance to involve external consultants,” “absence of/small founding team,” “lack of ambition” and “improper attitude.”Originality/valueThe research attempts to create a bricolage of all the important personal factors affecting “unwillingness to grow.” Previous researches have used few attributes, but with the help of ISM, a graphical modeling technique, it became possible to draw interrelationship between 15 attributes. Further, with the help of MICMAC, the importance of each attribute was determined.
Workarounds as enabling factor in the use of assistive technology amongst white-collar workers with visual impairment
Authors: Mörike Frauke , Kiossis Ioannis 
Published: August 2024

PurposeThis study aims to provide an explorative perspective on how workarounds – defined as practices that deviate from an official pathway to a target – delineate a decisive element for users with visual impairment to enable assistive technologies in the context of office work.Design/methodology/approachAn ethnographic study with in situ observation at participants’ work locations together with interviews was conducted to cater for the explorative nature of this study.FindingsThe study outlines three types of workarounds that can be distinguished into: (1) own investment into invisible work, (2) engaging support from colleagues and (3) the complete circumvention of technology use. It is furthermore discussed that workarounds remain largely unnoticed but yield the potential as an enabling factor for insights into the use of assistive technology (AT).Practical implicationsThe layered model of workarounds that locates them at the individual, social and organisational level can guide the design and analysis of enabling technologies in complex office work contexts. Technology designers can incorporate enquiries on workarounds into participatory or co-creative design processes. Information technology (IT) professionals and leaders of IT support teams can use this model to gain insights from workarounds into improvement opportunities for the effective integration of assistive technologies.Originality/valueThis study connects the concept of workarounds, which is deeply rooted in the tradition of workplace studies and computer-supported cooperative work (CSCW), with the practices of handling technology employed by knowledge workers with visual impairments to retain workability. This approach offers a novel perspective on the embeddedness of enabling technologies in the context of knowledge work. It highlights the intricate ways in which technology is integrated into daily work practices, thereby providing valuable insights into the intersection of AT and knowledge work.
Increasing pediatric primary care providers’ confidence and use of in-office interventions for anxiety: an application of the project ECHO model
Authors: Whitehead Monica Renee , Ryan Paige , Young Melissa A. , Austin Jillian E. , Kramer Kathleen , Harris Emily , McClure Jessica M. 
Published: August 2024

Purpose
The prevalence of pediatric anxiety disorders is on the rise but youth have challenges in accessing specialty evidence-based mental health care. As a result, families turn to their pediatric primary care provider (PCP) for assessment and management of anxiety. To increase PCPs’ abilities to manage anxiety, the Extension for Community Healthcare Outcomes (“Project ECHO”) was used. The purpose of this study is to explore the impact of Project ECHO on participating PCPs’ knowledge, self-efficacy and interventions surrounding the assessment and management of anxiety.

Design/methodology/approach
Data were collected pre- and post-course across five cohorts. Participants completed a clinical knowledge test, ratings of self-efficacy and self-reported frequencies of in-office interventions. Satisfaction was also measured.

Findings
Attendance remained strong, and participants rated high satisfaction. From pre- to post-course, participants demonstrated increased knowledge on almost all objective questions. Participants reported increased self-efficacy across all domains. Finally, participants endorsed increased use of several in-office interventions.

Practical implications
This study highlights the importance of Project ECHO as a continuing education model to enhance PCPs’ abilities and confidence in the assessment and management of anxiety. Future continuing education endeavors should consider Project ECHO as a means of increasing PCPs’ capacity to manage mental health conditions.

Originality/value
To the best of the authors’ knowledge, this is the first study that applied the Project ECHO model to pediatric anxiety as a mechanism of increasing knowledge, self-efficacy and in-office interventions with PCPs.
Supply chain concentration, digitalization and servitization of manufacturing firms
Authors: Sun Baiqing , Xi Yuze 
Published: August 2024

PurposeDigitalization and supply chain collaboration are central to the successful servitization of manufacturing firms. However, how digitalization interacts with supply chain structure to affect servitization decisions in manufacturing firms has been understudied. In this study, we bridge resource dependence theory (RDT) and information processing theory (IPT) to examine how supply chain concentration interacts with digitalization to affect servitization decisions in manufacturing firms.Design/methodology/approachWe tested the hypotheses using a panel dataset of 1,261 publicly listed machinery manufacturing firms in China. We addressed the endogeneity concerns using the control function approach and conducted multiple tests to ensure the robustness of the results.FindingsWe find that both supplier and customer concentration are negatively related to servitization, indicating that concentrated supplier and customer bases are hindrances to manufacturing servitization. Digitalization weakens the negative impact of customer concentration on servitization, but it strengthens the negative impact of supplier concentration on servitization.Originality/valueThe findings extend our understanding of supply chain structure and digitalization as determinants of servitization. This research also offers a nuanced view of how digitalization mitigates the negative impacts of supply chain concentration.
Firms’ cost structure and stock return volatility
Authors: Chen Haiwei , Jory Surendranath R. , Mishra Tapas , Ngo Thanh 
Published: August 2024

PurposeThis paper proposes a framework to identify a pattern in the relationship between firms’ cost structure (i.e. fixed versus variable) and their volatility in stock returns.Design/methodology/approachOur empirical analysis is based on a panel data regression where we use an extended sample period and a time-series regression-based elasticity measure of operating leverage.FindingsWe document significantly higher systematic risk among firms with large fixed costs, a conclusion which confirms theoretical predictions of earlier studies. In new findings, we document high firm-specific risk and high stock return volatility among firms with a fixed cost structure.Originality/valueThe paper fills a gap in the literature by examining the effect of cost structure using various operating leverage measures and other control measures for firm characteristics on idiosyncratic risk. Studies that seek to explain firms’ systematic risks are numerous; conversely, there are relatively fewer studies on the determinants of firms’ specific risks.
Phytochemical composition of wild pomegranate juices and their cytotoxicity
Authors: Topalović Ana , Knežević Mirko , Ivanović Ljubica , Mikulic-Petkovsek Maja , Bogdanović Višnja 
Published: August 2024

Purpose
This study aims to examine the relationship between the chemical composition of juices obtained from fruits of autochthonous wild pomegranate (Punica granatum L.) grown in Montenegro and their cytotoxic effects on cancer cells.

Design/methodology/approach
To explore the potential value of wild pomegranate fruits, in vitro biological assays were carried out with juices whose composition was analyzed in detail for sugars, organic acids, vitamin C and phenolic compounds. The effect of juices on survival was determined in human lung A549, cervical HeLa and breast MCF-7 carcinoma cells by MTT assay. As a control, the cytotoxicity against normal fetal lung fibroblasts (MRC-5) was monitored.

Findings
Among cancer cell lines, considering the IC50 related to total phenolics, the lowest value – 13 µg/mL was found for the A549. The strongest effect on lung cells was assumed due to the favorable contribution of ellagitannins to total phenolics in juice as well as the given combination of anthocyanins and their synergistic action. For HeLa cells, the lowest IC50 value was obtained at 88 µg/mL, and the cytotoxicity could be matched with the effects of anthocyanins and catechin. For MCF-7 cells, the lowest IC50 was 504 µg/mL, and the elevated levels of vitamin C and ellagic acid derivatives should have a noticeable effect on these cells.

Originality/value
This study provides an important contribution to the knowledge on the effect of phytochemicals from wild pomegranate juice on lung, cervical and breast cancer cells, in vitro. The present observations suggest that the juice of wild pomegranate has the potential in the fight against cancer.
Landscape patterns drive provision of nature's contributions to people by mobile species
Authors: O'Brien Sophie A. , Anderson Dean P. , Lavorel Sandra , Lai Hao Ran , de Burgh Natalie , Tylianakis Jason M. 
Published: August 2024

Abstract

Predicting how nature's contributions to people (NCP) vary spatially remains a challenge. For NCP provided by mobile species, it is unclear how predictions need to account for the influence of multiple habitat types that act as sources, sinks and potential distractors of the NCP‐providing species. Existing approaches that do not account for these effects may inaccurately predict outcomes in real landscapes.

To move beyond these limitations, we transfer quantitative inference approaches from movement ecology to explore how spatial habitat patterns determine the negative NCP of the invasive common brushtail possum Trichosurus vulpecula in New Zealand. We used a Bayesian model to investigate how the size of, and distance from, grassland and indigenous and exotic forest patches together contribute to relative possum density (measured by capture probability across a trapping network) in a heterogeneous 11,000‐ha landscape.

We found that indigenous and exotic forest area were the most important factors in determining possum density. Although capture probability declined with increasing grassland area, the addition of grassland did not improve the relative model fit above one with indigenous forest as the only habitat.

We expected differences in predicted possum density at habitat boundaries, for example, due to preferential foraging at edges. We found that indigenous and exotic forests contributed to capture probability interactively, such that capture probability at the between‐habitat edge was lower than expected, given the habitat area. We also found that models allowing for non‐linear habitat effects of exotic forests or grasslands, but not indigenous forests, were significantly better at predicting possum density than simpler models.

Synthesis and applications. Our novel approach for spatial prediction can be applied to any of nature's contributions to people (NCP), and extended to identify trade‐offs and synergies among multiple NCP. For example, the negative NCP of possum density trades off with multiple known positive NCP from indigenous forests, including culturally significant non‐material NCP, and material NCP produced by exotic forests. We recommend that landscape management plans to maximise these positive NCP in future scenarios also consider how the risk of possum density may dampen net NCP provision. To minimise this negative NCP, our results support trap deployment in both indigenous and exotic forest.
Asymmetric sharing of generalist pathogens between exotic and native plants correlates with exotic impact in communities
Authors: Waller Lauren P. , Allen Warwick J. , Black Amanda , Condron Leo , Tonkin Jonathan D. , Tylianakis Jason M. , Wakelin Angela , Dickie Ian A. 
Published: August 2024

Abstract

As exotic plants invade into a new range, they can escape from specialist enemies. However, they may support generalist enemies, including both native and introduced fungal pathogens, which creates the potential for spillover and apparent competition from exotic to native plants in communities.

To assess the potential for spillover of putatively pathogenic, root‐associated fungi (hereafter, ‘pathogens’) in communities invaded by exotic plants, we conducted a two‐phase plant–soil feedback experiment: a monoculture experiment with native and exotic plants grown alone and a multi‐species, community‐level experiment that ranged in the extent of exotic dominance. We used next‐generation sequencing to characterise sharing of pathogens between native and exotic plants in communities.

Exotic plants outperformed natives in communities, despite harbouring higher relative abundance of generalist pathogens. The higher generalism of pathogens supported by exotic plants made them more prone to be shared with natives. The proportion of pathogens shared between exotic and native plants in communities correlated with reduced competitive ability of native compared with exotic plants.

Synthesis: These data suggest that exotic plants host more generalist pathogens that are shared with native plants, which may confer an indirect benefit to exotic over native plants through apparent competition.
Review article: Back to life from being declared dead in the Resus Bay: An integrative review of the phenomenon of autoresuscitation and learning for ED
Authors: Manton Joanna 
Published: August 2024

AbstractThis is a literature review of ED autoresuscitation. The impetus for this review was a case which revealed a lack of understanding about Lazarus syndrome among ED staff. The primary objective was to see the proportion of cases who survived neurologically intact to discharge and the time frame when this occurred after death had been declared. A secondary outcome was to see whether these studies mention whether bedside echo was performed prior to deciding whether to terminate resuscitation. A systematic search of five databases was undertaken with keywords, ‘autoresuscitation’, ‘cardiac arrest’ and ‘emergency department’. Articles published in the English language were selected for inclusion. No time frame was selected because of the low number of articles. A total of 240 articles were identified, that yielded 26 cases that were relevant and could be synthesised to create a discussion on the current clinical guidelines around resuscitation. Our analysis demonstrates that of the 11 survivors who were discharged neurologically intact, the average age was 42.9 years; otherwise, the average was 62.6 years. The majority (23/26) 88% auto‐resuscitated within 10 min after being pronounced dead. Only five patients are mentioned as having had a bedside echo prior to deciding to cease efforts. Under‐reporting of autoresuscitation is suspected because of fears of blame. Passive monitoring for 10 min after resuscitation is ceased, is recommended. There is need for more data on this phenomenon to help inform further research on the topic.
Geographical distribution of the COVID‐19 pandemic and key determinants: Evolution across waves in Spain
Authors: Moreno Rosina , Vayá Esther 
Published: August 2024

AbstractAmidst the COVID‐19 pandemic, most research has examined specific temporal snapshots. This study diverges by offering a comprehensive analysis of COVID‐19 incidence across the Spanish provinces throughout six distinct waves of the pandemic. Using spatial exploratory techniques, we find no single pandemic; rather, there have been waves. Significant differences in the spatial distribution of cases and deaths across six waves show that each has unique characteristics. Homogeneous conclusions cannot be drawn at the national level. Notable regional differences in the pandemic’s spatial distribution suggest a need for subnational responses, reflecting variations in climate, economic dynamism, sectoral specialisation, and socio‐health resources. Spatial regression models show that the main determinants of COVID‐19 incidence depend on stage. Traditional factors commonly associated with epidemiological studies, such as temperature, exerted significant influence during the pandemic’s onset. However, as mobility restrictions were enforced and vaccination campaigns were rolled out, economic conditions, and especially levels of economic activity, emerged as increasingly significant determinants.
The answer, my friend, is blowin’ in the wind: Blow sampling provides a new dimension to whale population monitoring
Authors: Valsecchi Elena 
Published: August 2024

Marine mammals play a fundamental role in the functioning of healthy marine ecosystems and are important indicator species. Studying their biology, distributions, behaviour and health are still technically and logistically demanding for researchers. However, the efforts and commitment have not been in vain, since we are witnessing constant and exponential advancement in the study of these animals, thanks to technological progress in numerous fields. These include miniaturization and performance of biologger tags, which are equipped with sensors for measuring physiological parameters, hydrophones, accelerometers, time‐depth records and spatial locations; the use of high throughput ‘Next Generation’ Sequencing to gain genetic information about communities and individual species from nucleic acids in environmental samples at miniscule concentrations; through, to the possibility of monitoring species with autonomous aerial and underwater vehicles. In parallel advances in computing and statistical modelling frameworks support the analysis of increasingly large and complex data sets. In this issue, O'Mahony et al. (2024) draw from at least two of these innovations: (a) the collection of biological material retrieved from large whales' blows using a modified drone and (b) the use of the samples to infer a wide spectrum of genetic information (both nuclear and mitochondrial) about the target animal/population. The methodology is not completely novel, but the study shows an impressive advancement in the amount of data obtained compared to preceding studies using the same approach. In the wake of these promising results, future perspectives are evaluated in relation to alternative sampling methodologies currently in use. It is possible to speculate that, in the next few years, the combination of non‐invasive molecular profiling and enhanced drone technology (e.g. assembling increasingly smaller components, thus expanding capacity for autonomous operation) will open up perspectives that were unimaginable at the beginning of this millennium.
Potential biodiversity maps of Geadephaga (Coleoptera) from subantarctic forests: Relating diversity patterns and conservation hotspots with forest integrity
Authors: Carrara Rodolfo , Giménez Gómez Victoria C. , Muñoz‐Escobar Christian , Roig‐Juñent Sergio 
Published: August 2024

Abstract
Potential biodiversity maps (PBMs) allow the identification of areas with different potential for conservation, to support political decisions about the management and protection of biodiversity.
As these maps are seldom constructed for inconspicuous species, we proposed to develop PBMs for species belonging to the Geadephaga (Coleoptera), which is a group of beetles that contributes as predators for pest suppression and other ecosystem services in forest ecosystems. Given that human activities are reducing forest integrity, we consider that it is crucial to recognize how diversity patterns of Geadephaga are related to degraded forests.
We developed these maps for the Geadephaga associated with subantarctic forests considering diversity measures of species richness, specificity, and rarity to establish spatial relationships between each diversity measure and different levels of forest integrity, and to identify potential hotspots and suggest conservation priorities.
Results showed a latitudinal pattern of decrease in scores on richness and specificity from north to south, but a patchy pattern of species rarity across the region. Outcomes also show that areas with high scores of diversity measures are overlapped with degraded forest, and that hotspots have a low spatial overlap between them.
In this work, we provide for the first time regional PBMs at a relatively high spatial resolution of three different diversity measures for Geadephaga that inhabit subantarctic forest. These maps constitute tools that allow not only to recognize potential diversity patterns of these insects, but also to offer valuable information to be used in conservation decision‐making.