bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of SARS CoV-2 contamination in the Operating Room and Birthing Room Setting: Risks to attending health care workers
Authors: Lee Patricia E. , Kozak Robert , Alavi Nasrin , Mbareche Hamza , Kung Rose C. , Murphy Kellie E. , Perruzza Darian , Jarvi Stephanie , Salvant Elsa , Ladhani Noor Niyar N. , Yee Albert J.M. , Gagnon Louise-Helene , Jenkinson Richard , Liu Grace Y.
Published: September 2021

Background

The exposure risks to front-line health care workers who are in close proximity for prolonged periods of time, caring for COVID-19 patients undergoing surgery or obstetrical delivery is unclear. Understanding of sample types that may harbour virus is important for evaluating risk.

Objectives

To determine if SARS-CoV-2 viral RNA from patients with COVID-19 undergoing surgery or obstetrical care is present in: 1) the peritoneal cavity of males and females 2) the female reproductive tract, 3) the environment of the surgery or delivery suite (surgical instruments, equipment used, air or floors) and 4) inside the masks of the attending health care workers.

Methods

The presence of SARS-CoV-2 viral RNA in patient, environmental and air samples was identified by real time reverse transcriptase polymerase chain reaction (RT-PCR). Air samples were collected using both active and passive sampling techniques.

Results

In this multi-centre observational case series, 32 patients with COVID-19 underwent urgent surgery or obstetrical delivery and 332 patient and environmental samples were collected and analyzed to determine if SARS-CoV-2 RNA was present. SARS-CoV-2 RNA was detected in: 4/24(16.7%) patient samples, 5/60(8.3%) floor, 1/54(1.9%) air, 10/23(43.5%) surgical instruments/equipment, 0/24 cautery filters and 0/143 inner surface of mask samples.

Conclusions

While there is evidence of SARS-CoV-2 RNA in the surgical and obstetrical operative environment (6% of samples taken), the finding of no detectable virus inside the masks worn by the medical teams would suggest a low risk of infection for our health care workers using appropriate personal protective equipment (PPE).
Supervised Phenotype Discovery from Multimodal Brain Imaging
Authors: Gong Weikang , Bai Song , Zheng Ying-Qiu , Smith Stephen M. , Beckmann Christian F.
Published: September 2021

Data-driven discovery of image-derived phenotypes (IDPs) from large-scale multimodal brain imaging data has enormous potential for neuroscientific and clinical research by linking IDPs to subjects’ demographic, behavioural, clinical and cognitive measures (i.e., non-imaging derived phenotypes or nIDPs). However, current approaches are primarily based on unsupervised approaches, without the use of information in nIDPs. In this paper, we proposed a semi-supervised, multimodal, and multi-task fusion approach, termed SuperBigFLICA, for IDP discovery, which simultaneously integrates information from multiple imaging modalities as well as multiple nIDPs. SuperBigFLICA is computationally efficient and largely avoids the need for parameter tuning. Using the UK Biobank brain imaging dataset with around 40,000 subjects and 47 modalities, along with more than 17,000 nIDPs, we showed that SuperBigFLICA enhances the prediction power of nIDPs, benchmarked against IDPs derived by conventional expert-knowledge and unsupervised-learning approaches (with average nIDP prediction accuracy improvements of up to 46%). It also enables the learning of generic imaging features that can predict new nIDPs. Further empirical analysis of the SuperBigFLICA algorithm demonstrates its robustness in different prediction tasks and the ability to derive biologically meaningful IDPs in predicting health outcomes and cognitive nIDPs, such as fluid intelligence and hypertension.
Global Mapping of Mouse CSF Flow via HEAP-METRIC Phase-contrast MRI
Authors: Li Juchen , Pei Mengchao , Bo Binshi , Zhao Xinxin , Cang Jing , Fang Fang , Liang Zhifeng
Published: September 2021

Roles of Cerebrospinal fluid (CSF) in brain waste clearance and homeostasis has been increasingly recognized, thus measuring its flow dynamics could provide important information about its function and perturbance. While phase-contrast MRI can be used for non-invasive flow mapping, so far its mapping of low velocity flow (such as mouse brain CSF) is not possible. Here we developed a novel generalized Hadamard encoding based multi-band acceleration scheme dubbed HEAP-METRIC (Hadamard Encoding APproach of Multi-band Excitation for short TRImaging aCcelerating), and with significantly increased SNR per time, HEAP-METRIC phase-contrast MRI achieved fast and accurate mapping of slow (~102 micron/s) flow. Utilizing this novel method, we revealed a heterogeneous global pattern of CSF flow in the awake mouse brain with a averaged flow of ~200 micron/s, and further found isoflurane anesthesia reduced CSF flow that was accompanied by reduction of glymphatic function. Therefore, we developed the novel HEAP-METRIC phase-contrast MRI for mapping low velocity flow, and demonstrated its capability for global mapping of mouse CSF flow and its potential alterations related to various physiological or pathological conditions.
Design and Computational Analysis of a Chimeric Avian Influenza Antigen: A Yeast-displayed, Universal and Cross-protective Vaccine Candidate
Authors: Mohammadi Elyas , Pirkhezranian Zana , Dashty Samira , Saedi Naghmeh , Sekhavati Mohammad Hadi
Published: September 2021

Background

A cross-protective avian influenza vaccine candidate can be designed by using a preserved antigen against mutation in various subtypes of influenza. M2e peptide sequence has remained remarkably unchanged in influenza type A isolated since 1918.

Methods

A consensus sequence of M2e peptide was obtained from 31 sequences of H5N8, H5N1, H9N2 and H7N9 subtypes of avian influenza virus isolated from 7 avian species in 5 Asian countries. A partial sequence of flagellin was considered as an adjuvant. Subsequently, two chimeric antigens were designed to be virtually cloned and expressed using PYD1 vector andEBY100yeast strain. The stability and conformational features of these two antigens were assessed through molecular dynamic (MD) simulations. The detectability of vaccine candidates by a specific monoclonal antibody (MAb148) were estimated through docking studies.

Results

In spite of significant compactness and stability of the first candidate in comparison with the second design, it was less detectable by MAb148. Contrary to the first chimeric antigen, Van der Waals, electrostatic and binding energies of the interaction of the second antigen with MAb148 were significantly closer to the positive control. It is shown that epitopes of the second chimeric antigen could be correctly located in the specific pocket of CDR region of MAb148.

Conclusion

The second chimeric antigen could be considered as a yeast-displayed avian influenza vaccine candidate due to the capability of provoking humoral immunity and innate immune system by M2e and flagellin respectively.
Hierarchical Timescales in the Neocortex: Mathematical Mechanism and Biological Insights
Authors: Li Songting , Wang Xiao-Jing
Published: September 2021

A cardinal feature of the neocortex is the progressive increase of the spatial receptive fields along the cortical hierarchy. Recently, theoretical and experimental findings have shown that the temporal response windows also gradually enlarge, so that early sensory neural circuits operate on short-time scales whereas higher association areas are capable of integrating information over a long period of time. While an increased receptive field is accounted for by spatial summation of inputs from neurons in an upstream area, the emergence of timescale hierarchy cannot be readily explained, especially given the dense inter-areal cortical connectivity known in modern connectome. To uncover the required neurobiological properties, we carried out a rigorous analysis of an anatomically-based large-scale cortex model of macaque monkeys. Using a perturbation method, we show that the segregation of disparate timescales is defined in terms of the localization of eigenvectors of the connectivity matrix, which depends on three circuit properties: (1) a macroscopic gradient of synaptic excitation, (2) distinct electrophysiological properties between excitatory and inhibitory neuronal populations, and (3) a detailed balance between long-range excitatory inputs and local inhibitory inputs for each area-to-area pathway. Our work thus provides a quantitative understanding of the mechanism underlying the emergence of timescale hierarchy in large-scale primate cortical networks.

Significance Statement

In the neocortex, while early sensory areas encode and process external inputs rapidly, higher association areas are endowed with slow dynamics suitable for accumulating information over time. Such a hierarchy of temporal response windows along the cortical hierarchy naturally emerges in a model of multi-areal primate cortex. This finding raises the question of why diverse temporal modes are not mixed in roughly the same way across the whole cortex, despite high connection density and an abundance of feedback loops. We investigate this question by mathematically analyzing the anatomically-based network model of macaque cortex, and show that three general principles of synaptic excitation and inhibition are crucial for timescale segregation in a hierarchy, a functionally important characteristic of the cortex.
Mapping of a N-terminal α-helix domain required for human PINK1 stabilisation, Serine228 autophosphorylation and activation in cells
Authors: Kakade Poonam , Ojha Hina , Raimi Olawale G. , Shaw Andrew , Waddell Andrew D. , Ault James R. , Burel Sophie , Brockmann Kathrin , Kumar Atul , Ahangar Mohd Syed , Krysztofinska Ewelina M. , Macartney Thomas , Bayliss Richard , Fitzgerald Julia C. , Muqit Miratul M. K.
Published: September 2021

Human autosomal recessive mutations in the PINK1 gene are causal for Parkinson’s disease (PD). PINK1 encodes a mitochondrial localised protein kinase that is a master-regulator of mitochondrial quality control pathways. Structural studies to date have elaborated the mechanism of how mutations located within the kinase domain disrupt PINK1 function, however, the molecular mechanism of PINK1 mutations located upstream and downstream of the kinase domain are unknown. We have employed mutagenesis studies of human PINK1 in cells to define the minimal region of PINK1, required for optimal ubiquitin phosphorylation, beginning at residue Ile111. Bioinformatic analysis of the region spanning Ile111 to the kinase domain and inspection of the AlphaFold human PINK1 structure model predicts a conserved N-terminal α-helical domain extension (NTE domain) within this region corroborated by hydrogen/deuterium exchange mass spectrometry (HDX-MS) of recombinant insect PINK1 protein. The AlphaFold structure also predicts the NTE domain forms an intramolecular interaction with the C-terminal extension (CTE). Cell-based analysis of human PINK1 reveals that PD-associated mutations (e.g. Q126P), located within the NTE:CTE interface, markedly inhibit stabilization of PINK1; autophosphorylation at Serine228 (Ser228); and Ubiquitin Serine65 (Ser65) phosphorylation. Furthermore, we provide evidence that NTE domain mutants do not affect intrinsic catalytic kinase activity but do disrupt PINK1 stabilisation at the mitochondrial Translocase of outer membrane (TOM) complex. The clinical relevance of our findings is supported by the demonstration of defective stabilization and activation of endogenous PINK1 in human fibroblasts of a patient with early-onset PD due to homozygous PINK1 Q126P mutations. Overall, we define a functional role of the NTE:CTE interface towards PINK1 stabilisation and activation and show that loss of NTE:CTE interactions is a major mechanism of PINK1-associated mutations linked to PD.
Inhibition of HIV-1 immune modulation by small molecules targeting viral Nef-host CD80 interface
Authors: Sharma Anusmrithi U. , Sharma Shweta , Arumugam Gandhimathi , Nair Archana Padmanabhan , Ambala Srinivas , Munagala Gurunadham , Yempalla Kushalava Reddy , Munjal Akankshi , Rajkumar Shreenidhi , Kamariah Neelagandan , Venkitaraman Ashok R. , Sowdhamini Ramanathan , Saiyed Taslimarif , Singh Parvinder Pal , Vishwakarma Ram A. , Mayor Satyajit , Karumbati Anandi S.
Published: September 2021

HIV-1 causes diverse immunomodulatory responses in the host, including the down-regulation of co-stimulatory proteins CD80/86, mediated by HIV-1 protein Nef, blunting T-cell activation. Using a screening cascade of biochemical and cell-based assays, we identified potent small molecules representing three chemical scaffolds namely amino pyrimidine, phenoxy acetamide and bi-aryl heteroaryl carbamate which target the protein-protein interaction interface of CD80/86 and Nef with sub-micromolar potency. These molecules restore CD80/86 surface levels in HIV-1-Nef infected antigen presenting cells and T-cell activation. Nef-CD80 interface and small molecule binding sites were mapped by using computational docking and structural studies, followed by validation by mutational analysis. This analysis resulted in the identification of two key residues, K99 and R111, which were associated with down-modulation of CD80 surface levels by Nef and important for small molecule binding. Targeting these interacting residues disabled Nef-mediated down-modulation of CD80 surface levels, consequently restoring T-cell activation. Thus, we validate a new target, the Nef-CD80/86 protein-protein interaction interface, with a potential to develop new inhibitors to counteract the immunomodulatory consequences of HIV-1.
The strategic role of intellectual capital components in agri-food firms
Authors: Paoloni Paola , Modaffari Giuseppe , Paoloni Niccolò , Ricci Federica
Published: September 2021

Purpose

Recent socioeconomic events, not least the Covid-19 pandemic, have led farms to rethink their traditional production methods. Innovation, new technologies and the establishment of relationships could be crucial for farms to remain competitive and sustainable over time. These factors can be assumed as structural and relational capital, two of intellectual capital's components. In this stream, the aim of this paper is to analyze how structural and relational capital could contribute to farm's sustainability in terms of competitiveness during its normal life cycle and in terms of resilience during an uncertain period, such as the coronavirus emergency.

Design/methodology/approach

The paper is supported by the qualitative methodology of a single case study. To reach the declared goal, the paper applies the C.A.O.S. (Characteristics, Ambience, Organizations, Start-up) model, an interpretative model for analyzing the small and medium enterprise dimension. In this way, the main aspects that allowed the farm to be competitive and to react at the emergency period were described.

Findings

The findings show that innovation technology involved the farm's internal processes, improving execution, control and feedback phases. Thanks to the two main introduced innovations, the farm reduced staffing costs and minimized cultivation risk related to climatic factors. These innovations are the main factors allowing the farm to increase its efficiency. Moreover, the proactive and reactive roles of the structural and relational capital to face the emergency period are confirmed.

Originality/value

The paper contributes to the literature in several ways. Regarding innovation literature, the paper shows how technology helps farms to improve their performance and their global competitiveness. Insight into structural and relational capital enhances the knowledge of intangible assets, such as intellectual capital. In the light of the Covid-19 emergency, the work demonstrates how the main resilience factors (proactive, i.e. structural capital, and reactive, i.e. relational capital) ensure the farm's survival.
Ultrasound irradiation of grapes: effect on the anthocyanin profile of “Isabella” juice
Authors: Comarella Carine Glaucia , Treptow Taísa Ceratti , de Oliveira Álisson Santos , Rodrigues Eliseu , Sautter Claudia Kaehler , Bochi Vivian , Penna Neidi Garcia
Published: September 2021

Purpose

The aim of this study was to evaluate the effect of ultrasound (US) treatment on the postharvest of “Isabella” grapes and the consistency of the obtained results regarding the composition of anthocyanins in grape juice over three successive harvest years using a combination of analytical techniques.

Design/methodology/approach

Juices produced from “Isabella” grapes sonicated for different durations (3, 5, 7 and 10 min) were analysed. The grapes were harvested and sonicated in 2013, 2014 and 2015, and each treated sample was stored for 1, 3 and 5 days in order to verify the time necessary for the development of the US response. The juices were analysed through physicochemical analysis (total monomeric anthocyanins). The anthocyanin profiles were quantified and identified using high performance liquid chromatography coupled to photodiode array and mass spectrometry detectors (HPLC-PDA-MSn).

Findings

The results demonstrated the potential of US in improving the quality of grape juice. In all three harvests, it was observed that the treatments were effective in increasing the concentration of anthocyanins. For the 2013 harvest, the application of US for 5 min led to a 103% increase in juice pigments. However, the US response profile varied among the three harvests, indicating that the US effect was influenced by the ripening conditions of the fruit. In total, 33 anthocyanins were identified in the grape juice. For the first time, peonidin-3-p-coumaroyl glucoside-5-glucoside was identified in “Isabella” juice.

Originality/value

The results of this study validated US treatment as a simple and effective physical method that can be used as an alternative technology for improving the general quality of products such as juice by increasing the pigment concentrations that are linked to the colour and antioxidant potential of drinks. Moreover, the results demonstrate that US treatment may be less effective in the case of a sample with distinct phenolic maturation.
Deep and machine learning approaches for forecasting the residual value of heavy construction equipment: a management decision support model
Authors: Alshboul Odey , Shehadeh Ali , Al-Kasasbeh Maha , Al Mamlook Rabia Emhamed , Halalsheh Neda , Alkasasbeh Muna
Published: September 2021

Purpose

Heavy equipment residual value forecasting is dynamic as it relies on the age, type, brand and model of the equipment, ranking condition, place of sale, operating hours and other macroeconomic gauges. The main objective of this study is to predict the residual value of the main types of heavy construction equipment. The residual value of heavy construction equipment is predicted via deep learning (DL) and machine learning (ML) approaches.

Design/methodology/approach

Based on deep and machine learning regression network integrated with data mining, random forest (RF), decision tree (DT), deep neural network (DNN) and linear regression (LR)-based modeling decision support models are developed. This research aims to forecast the residual value for different types of heavy construction equipment. A comprehensive investigation of publicly accessible auction data related to various types and categories of construction equipment was utilized to generate the model's training and testing datasets. In total, four performance metrics (i.e. the mean absolute error (MAE), mean squared error (MSE), the mean absolute percentage error (MAPE) and coefficient of determination (R2)) were used to measure and compare the developed algorithms' accuracy.

Findings

The developed algorithm's efficiency has been demonstrated by comparing the deep and machine learning predictions with real residual value. The accuracy of the results obtained by different proposed modeling techniques was comparable based on the performance evaluation metrics. DT shows the highest accuracy of 0.9111 versus RF with an accuracy of 0.8123, followed by DNN with an accuracy of 0.7755 and the linear regression with an accuracy of 0.5967.

Originality/value

The proposed novel model is designed as a supportive tool for construction project managers for equipment selling, purchasing, overhauling, repairing, disposing and replacing decisions.
Entrepreneurial learning among practices: aesthetic and sensible knowledge in the life trajectory of entrepreneurs
Authors: Vogt Sérgio , Bulgacov Yara Lucia Mazziotti , Elias Sara R.S.T.A.
Published: September 2021

Purpose

Using the concept of knowing-in-practice (KinP), and drawing from current understandings of aesthetic and sensible knowledge within organization studies, this study explores how the entrepreneurial learning (EL) process unfolds over time, throughout the lives of startup founders, well before entrepreneurial action takes place.

Design/methodology/approach

Using a life histories approach, 25 interviews were conducted with the founders of 18 startups. Additional 14 semi-structured interviews were conducted with other startups' founders, focusing on thematic stories. Data were analyzed using abduction and narrative analysis.

Findings

Although each entrepreneur's history is unique, the authors show that entrepreneurs' lives are generally a texture of practices, resulting in aesthetic–sensible knowledge that is developed as entrepreneurs participate in various social practices. This includes KinP episodes where perceptive-sensorial faculties are fundamental for entrepreneurs to perceive the world, recognize/create opportunities and launch a business.

Research limitations/implications

The historical approach did not allow the authors to witness firsthand the practices and KinP episodes that participants verbalized. Regardless, the results show that aesthetic and sensible knowledge provide a fruitful lens for investigating EL while highlighting the indissoluble relationship between practice and learning.

Originality/value

Although the senses have been recognized as fundamental for learning in organizations, entrepreneurship scholars have yet to explore the aesthetic and sensory processes involved in EL. The primary contribution of this paper is to develop a new understanding of the situated nature of EL as a process that starts well before entrepreneurial action occurs, stemming from entrepreneurs' experiencing of certain practices and the aesthetic and sensible knowledge they build over their life trajectory.
Determinants of network effectiveness: evidence from a benchmarking consortium
Authors: Dimitrijevska-Markoski Tamara , Nukpezah Julius A.
Published: September 2021

Purpose

The study investigates the perceived network effectiveness of the Florida Benchmarking Consortium (FBC). It also examines the impact of network coordination, longevity of membership and environmental support on perceived network effectiveness.

Design/methodology/approach

It uses a cross-sectional, nonexperimental research design and an ordinary least squares (OLS) multiple regression that employed data from an online survey administered to local government employees from FBC member governments.

Findings

The results show that the FBC moderately meets the expectation of network participants to serve as a platform for exchanging experiences and increasing performance knowledge. However, the network's effectiveness is not dependent on the frequency of interactions among network members, but depends on their interactions with focal egos such as the FBC Executive Director. Contrary to expectations, the longevity of involvement with the network is not associated with perceived network effectiveness. Moreover, network members who perceive the environment as supportive are more likely to positively evaluate the network's effectiveness.

Practical implications

Because perceived network effectiveness may be improved if the members interact with the right “focal” players, managers should proactively pursue closer connections with knowledgeable network members using additional and more frequent communication. Also, research efforts at identifying the characteristics of the right focal players that contribute to network effectiveness should be pursued.

Originality/value

While there is extensive attention to the participation of public organizations in networks, less research focuses on network effectiveness examined at the network level. This study addresses this research gap by investigating if the FBC is effective in meeting its network goals.
Impact of nation brand experience on nation brand loyalty, and positive WOM in a changing environment: the role of nation brand love
Authors: Yadav Rohit , Paul Justin , Mittal Amit
Published: September 2021

Purpose

Nation brand building is a complex task as it involves multiple stakeholders. In the context of globalisation, a strong nation brand has important implications not only for attracting foreign businesses and tourists but also for the brands originating from that country. This study examines the role of nation brand experience in enhancing a nation's global reputation.

Design/methodology/approach

The relationships between nation brand experience, nation brand love, nation brand loyalty and positive word of mouth (WOM) were examined by analysing 334 survey responses collected from foreign tourists in India. Structural equation analysis was carried out as part of the analysis.

Findings

The results confirmed that international visitors' sensory and affective nation brand experiences significantly enhance brand love for a nation, leading to national brand loyalty and positive WOM among them. The findings are expected to help practitioners understand consumer buying behavior related to nation brand and develop innovative strategies for improving brand values.

Originality/value

Understanding a developing nation brand experience and how it converts to brand loyalty through the mediation effect of nation brand love from the lens of foreign tourists is the novelty of this study.
The climate-related information in the changing EU directive on non-financial reporting and disclosure: first evidence by Italian large companies
Authors: Lombardi Rosa , Schimperna Federico , Paoloni Paola , Galeotti Michele
Published: September 2021

Purpose

This paper investigates the quality and quantity of climate-related information disclosed by public interest entities (PIEs) in the non-financial disclosure scenario. Thus, this paper aims at drafting the state of the art on what is climate-related information disclosed by PIEs in the changing EU non-financial regulation assuming the Italian scenario and the industrial industry as significant in achieving the research aims.

Design/methodology/approach

The authors used the content analysis composing the sample of 34 large listed companies (i.e. PIEs) belonging to the industrial sector in Italy. The authors choose the Italian PIEs’ sustainability reports published in 2019 after the adoption of the EU directive and its guidelines. The authors adopted a coding and classification system, investigating the climate-related information through a systematic, objective and reliable method. The authors defined 99 indicators along the structure of the European Commission's guidelines and the indicator of disclosure, climate-related information indicator (CII). The framework mainly derives from the corporate disclosure theory and legitimacy and stakeholders' theories.

Findings

The results show the lack of several required climate-related information or a not in-depth presentation of information. Thus, findings are interesting in emphasizing that the current climate-related disclosure is at an early stage in complying with the European Commission's guidelines. Additionally, the findings enlarge previous theories on corporate disclosure, proposing new insights in the light of the recent interest in climate-related information.

Research limitations/implications

Evidence contributes to extending the existing literature, drafting the state of the art of what is the quality and the quantity of the climate-related information in the corporate disclosure in the European scenario.

Practical implications

This paper is directed to propose the state of the climate-related disclosure following the EU directive guidelines, proposing some evidence to support the path toward the integrations of information by several parts (e.g. companies, regulators and so on).

Originality/value

The paper is a useful baseline for academics, practitioners, policy-makers and regulators in understanding actions to adopt in the climate-related disclosure and what could be the impact of forthcoming regulations in the field, also having some metrics (e.g. score value of disclosure, the indicator of climate-related information disclosure – CII).
The social media marketing strategies and its implementation in promoting handicrafts products: a study with special reference to Eastern India
Authors: Guha Sriparna , Mandal Anirban , Kujur Fedric
Published: September 2021

Purpose

First, this study aims to focus on the promotional part of the Indian handicraft products through various social media platforms such as Facebook, Twitter, Instagram and YouTube. Second, the study measures the effectiveness of social media marketing activities (SMMA) relating to handicraft products on brand awareness, brand image and brand equity. Third, this study also measures the impact of brand awareness and brand image on brand equity and consumers’ purchase intention and further brand equity on consumers’ purchase intention of handicraft products.

Design/methodology/approach

This study used an offline questionnaire to conduct empirical research and collected and analyzed data of 609 samples by using the structural equation modeling approach.

Findings

The findings of this study showed that SMMA relating to handicraft products had a very strong impact on creating both brand awareness and brand image in the social media environment. Additionally, this study also exhibited a positive and significant impact of brand awareness and brand image on brand equity and consumers’ purchase intention and further brand equity on consumers’ purchase intention of handicraft products in the social media environment.

Practical implications

The outcome of this research will definitely motivate the handicraft industry to have a strong social media presence on various platforms for promoting their products across India and outside. Further, the promotional activities in various social media platforms will help in creating awareness about the handicraft products and give brand recognition among other industrial competitive brands which will consequently lead to an increase in the demand for these products.

Originality/value

The novelty of this study is that it has made an initial attempt to study the marketability of handicraft products using various social media platforms and also has measured the probable impact of SMMA relating to handicraft products on brand awareness and brand image and their impact on brand equity and purchase intention.
Do management practices and competition levels increase commercial bank profits? Evidence from Can Tho, Viet Nam
Authors: Ho Chi Huu Phuong , Nguyen Kiet Tuan
Published: September 2021

Purpose

Management practices and competition levels have been shown as important factors affecting the performance of enterprises that do not include banks. The paper, thus, aims to measure management practices and to study the effect of management quality and competition level on the performances of the first-level branch of commercial banks in the context of the Viet Nam banking system.

Design/methodology/approach

The study employed the approach of Bloom and Van Reneen (2007) to quantify management practices of the commercial banks. The level of competition was measured by the number of competitors suggested by Nickell (1996) and the index suggested by Boone (2008). Finally, the effects of management practices and competition level on the bank performances were jointly estimated through a Cobb–Douglas production function, similar to the one used by Bloom et al. (2014).

Findings

The results show that the management practices score is, on average, above the average. While the management practices are found to positively correlate with profits, the competition level is found to significantly reduce bank profits.

Research limitations/implications

Cross-sectional data limit the findings of the paper to a point of time. In the future, studies with panel data are desirable.

Practical implications

The findings of the study help bank managers to make more informed decisions about management practices. Any policy promoting new entrants to the banking market should be carefully considered.

Originality/value

The paper is the first to measure the management practices of commercial banks and to explore the impacts of management quality and competition level on bank performances.
Pressure to perform: female CEOs and firm community engagement
Authors: Thosuwanchot Nongnapat
Published: September 2021

Purpose

This study examines the impact of female CEO on firm community engagement. By drawing on the stakeholder-agency paradigm, the author proposes that female CEOs feel more pressure to deliver favorable firm performance, thus resulting in less community engagement in firms with female CEOs. The author also examines circumstances surrounding the CEO as boundary conditions that can promote the extent that female CEOs engage in community initiatives.

Design/methodology/approach

The author collected panel data on a sample of firms listed in the S&P 500 index during the years 2009–2013. The author tested the hypotheses using firm fixed-effects models.

Findings

The results show that firms with female CEOs pursue less community engagement. CEO career horizon and CEO unexercisable stock options are boundary conditions that weaken the negative relationship between female CEOs and community engagement, while board independence does not have a significant moderating effect.

Originality/value

This study sheds light on the roles of female CEOs on firm community engagement as a distinct firm strategic action. Furthermore, this study provides a better understanding of the relationship by examining different factors that can promote community engagement by female CEOs, which include CEO career horizon and compensation incentive.
Evaluation of sustainable supply chain risk: evidence from the Iranian food industry
Authors: Tavakoli Haji Abadi Yasamin , Avakh Darestani Soroush
Published: September 2021

Purpose

The food industry is directly related to the health of humans and society and also that little attention has been paid to the assessment of sustainable supply chain risk management in this area, this will be qualified as an important research area. This study aims to develop a framework for assessing the sustainable supply chain risk management in the realm of the food industry (confectionery and chocolate) with a case study of three generic companies denotes as A1–A3. The proposed risk management was evaluated in three aforementioned manufacturing companies, and these three companies were ranked by the Fuzzy-Weighted Aggregated Sum Product Assessment (F-WASPAS) method in EXCEL.

Design/methodology/approach

The evaluation was carried out using integrated multi-criteria decision-making methods Best-Worst method (BWM)-WASPAS. Via an extensive literature review in the area of sustainable supply chain, sustainable food supply chain and risks in this, 9 risk criteria and 59 sub-criteria of risk were identified. Using expert opinion in the food industry, 8 risk criteria and 39 risk sub-criteria were identified for final evaluation. The final weight of the main and sub-criteria was obtained using the F-BWM method via LINGO software. Risk management in the sustainable supply chain has the role of identifying, analyzing and providing solutions to control risks.

Findings

The following criteria in each group gained more weight: loss of credibility and brand, dangerous and unhealthy working environment, unproductive use of energy, human error, supplier quality, quality risk, product perishability and security. Among the criteria, the economic risks have the highest weight and among the alternatives, A3 has obtained first ranking.

Originality/value

Modeling of risk for the food supply chain is the unique contribution of this work.
Fear after being fired: the moderating role of resilience in lessening the time between employment
Authors: Scrimpshire Alex , Lensges Marcia
Published: September 2021

Purpose

The purpose of this paper is to study how the interplay of the emotion of fear and the personality trait of resilience affect time to reemployment after job termination. The authors carried out the research by extending affective events theory (AET) beyond the workplace.

Design/methodology/approach

This paper is a conceptual paper intended to lay the groundwork for future analysis in the areas of fear and resilience, specifically in the time after job termination.

Findings

The paper suggests that fear is a natural response to job termination, and there are two responses to fear: one of action to rid oneself of fear (“fight or flight”) and one of paralysis, in which an individual remains in a fear state. The authors put forth that one's level of resilience is a factor in determining time to reemployment.

Originality/value

While there are numerous studies on the role emotions play in the workplace and in particular, the role of fear about potentially getting fired, there are few, if any, studies on the role of fear after losing a job. The authors feel this is a warranted area of study as fear can have both positive and negative responses. The authors also contend that a major diver of these fear responses is an individual's level of resilience, and this can be a significant predictor of the individual's time to reemployment.
Towards a resilient perspective for the future of offshore platforms. Insights from a data driven approach
Authors: Loia Francesca , Capobianco Nunzia , Vona Roberto
Published: September 2021

Purpose

This study aims to investigate the collective perception regarding the future of offshore platforms and frame the main categories of meanings associated by the community with the investigated phenomenon.

Design/methodology/approach

A data driven approach has been conducted. The collection of the peoples’ opinions has been realized on two specific social network communities as follows: Twitter and Instagram. The text mining processes carried out a sentiment and a cluster analysis.

Findings

The sentiment analysis of the most frequent words has been shown. The following four main homogeneous categories of words are emerged in relation to the decommissioning of offshore platforms: technological areas, green governance (GG), circular economy and socio-economic sphere.

Research limitations/implications

The alternative use of the offshore platforms, including tourism initiatives, aquaculture, alternative energy generation, hydrogen storage and environmental research, could improve the resilience of communities by offering the development of new jobs and the growth of local and innovative green businesses.

Practical implications

The adoption of a circular model and GG initiatives aims to limit the input of resources and energy, minimize waste and losses, adopt a sustainable approach and realize new social and territorial value.

Originality/value

The analysis underlines the importance to adopt a systems perspective, which takes into account the social, economic and environmental system as a whole, the different phenomena that occur and the variety of categories of stakeholders, from users to local governments that participate in the territorial development.
The potential contribution of terrestrial nature‐based solutions to a national ‘net zero’ climate target
Authors: Bradfer‐Lawrence Tom , Finch Tom , Bradbury Richard B. , Buchanan Graeme M. , Midgley Andrew , Field Rob H.
Published: September 2021

Many national governments have incorporated nature‐based solutions (NbS) in their plans to reduce net greenhouse gas emissions. However, uncertainties persist regarding both feasibility and consequences of major NbS deployment. Using the United Kingdom as a national‐level case study, we examined the potential contribution of three terrestrial NbS: peatland restoration, saltmarsh creation and woodland creation.

While there is substantial political and societal interest in these three NbS, they also have strong potential for competition with other land uses, which will be a critical barrier to substantial deployment. We conducted a national mapping exercise to assess the potential area available for woodland creation. We then assessed the combined climate change mitigation potential to 2100 for the three NbS options under a range of ambition levels.

In line with the most ambitious targets examined, 2 Mha of land is potentially available for new woodland. However, climate change mitigation benefits of woodland are strongly dependent on management choices. By 2100, scenarios with a greater proportion of broadleaved woodlands outsequester non‐native conifer plantations, which are limited by regular timber harvesting.

Peatland restoration offers the greatest mitigation per unit area, whilst the contribution from saltmarsh creation is limited by the small areas involved. Overall, the contribution of these NbS to the United Kingdom’s net zero emissions target is relatively modest. Even with the most ambitious targets considered here, by 2100, the total cumulative mitigation from the three NbS is equivalent to only 3 years' worth of UK emissions at current levels.

Policy implications. Major deployment of nature‐based solutions (NbS) is possible in the United Kingdom but reaching ‘net zero’ primarily requires substantial and sustained reductions in fossil fuel use. However, facilitating these NbS at the national scale could offer many additional benefits for people and biodiversity. This demands that policy‐makers commit to a UK‐wide strategic approach that prioritises the ‘nature’ aspect of NbS. In the push to reach ‘net zero’, climate change mitigation should not be used to justify land management practices that threaten biodiversity ambitions.
Fiscal rules, fiscal performance and economic growth in Sub‐Saharan Africa
Authors: Nabieu Gladys Awinpoak Abindaw , Bokpin Godfred Alufar , Osei Achampong Kofi , Asuming Patrick Opoku
Published: September 2021

Over the past four decades, many economies have striven to find permanent solutions to persistent increases in public deficits and deterioration of growth. For most economies, the solution to this problem was the adoption of fiscal rules. This paper presents empirical evidence on the effects of fiscal rules on fiscal performance and economic growth using a dataset of 43 countries in Sub‐Saharan Africa over 27 years. The study applies simultaneous equation models to determine the relationship between performance and growth in the public sector and also to avoid structural equation and endogeneity biases. The results show that fiscal rules significantly foster fiscal performance and decelerate growth. The study further finds the expenditure rules to be most effective in influencing fiscal balance and economic growth. The robust estimates further confirm that expenditure rules and government spending efficiency are necessary for promoting fiscal outcomes and economic growth. The study recommends the implementation of more revenue rules, debt rules and balance budget rules to ameliorate the negative effects of government spending on economic growth. In addition, Sub‐Saharan African economies should carefully consider the rules applied to government spending since fiscal rules on productive spending will impede economic growth.
International comparison of spending and utilization at the end of life for hip fracture patients
Authors: Blankart Carl Rudolf , van Gool Kees , Papanicolas Irene , Bernal‐Delgado Enrique , Bowden Nicholas , Estupiñán‐Romero Francisco , Gauld Robin , Knight Hannah , Abiona Olukorede , Riley Kristen , Schoenfeld Andrew J. , Shatrov Kosta , Wodchis Walter P. , Figueroa Jose F. ,   ICCONIC Collaboration
Published: September 2021

Objective

To identify and explore differences in spending and utilization of key health services at the end of life among hip fracture patients across seven developed countries.

Data Sources

Individual‐level claims data from the inpatient and outpatient health care sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC).

Study Design

We retrospectively analyzed utilization and spending from acute hospital care, emergency department, outpatient primary care and specialty physician visits, and outpatient drugs. Patterns of spending and utilization were compared in the last 30, 90, and 180 days across Australia, Canada, England, Germany, New Zealand, Spain, and the United States. We employed linear regression models to measure age‐ and sex‐specific effects within and across countries. In addition, we analyzed hospital‐centricity, that is, the days spent in hospital and site of death.

Data Collection/Extraction Methods

We identified patients who sustained a hip fracture in 2016 and died within 12 months from date of admission.

Principal Findings

Resource use, costs, and the proportion of deaths in hospital showed large variability being high in England and Spain, while low in New Zealand. Days in hospital significantly decreased with increasing age in Canada, Germany, Spain, and the United States. Hospital spending near date of death was significantly lower for women in Canada, Germany, and the United States. The age gradient and the sex effect were less pronounced in utilization and spending of emergency care, outpatient care, and drugs.

Conclusions

Across seven countries, we find important variations in end‐of‐life care for patients who sustained a hip fracture, with some differences explained by sex and age. Our work sheds important insights that may help ongoing health policy discussions on equity, efficiency, and reimbursement in health care systems.
Association between nursing home staff turnover and infection control citations
Authors: Loomer Lacey , Grabowski David C. , Yu Huizi , Gandhi Ashvin
Published: September 2021

Objective

To describe the association between nursing home staff turnover and the presence and scope of infection control citations.

Data Sources

Secondary data for all US nursing homes between March 31, 2017, through December 31, 2019 were obtained from Payroll‐Based Journal (PBJ), Nursing Home Compare, and Long‐Term Care: Facts on Care in the US (LTC Focus).

Study Design

We estimated the association between nurse turnover and the probability of an infection control citation and the scope of the citation while controlling for nursing home fixed effects. Our turnover measure is the percent of the facility's nursing staff hours that were provided by new staff (less than 60 days of experience in the last 180 days) during the 2 weeks prior to the health inspection. We calculated turnover for all staff together and separately for registered nurses, licensed practical nurses (LPNs), and certified nursing assistants.

Data Collection/Extraction Methods

We linked nursing homes standard inspection surveys to 650 million shifts from the PBJ data. We excluded any nursing home with incomplete or missing staffing data. Our final analytic sample included 12,550 nursing homes with 30,536 surveys.

Principal Findings

Staff turnover was associated with an increased likelihood of an infection control citation (average marginal effect [AME] = 0.12 percentage points [pp]; 95% confidence interval [CI]: 0.05, 0.18). LPN (AME = 0.06 pp; 95% CI: 0.01, 0.11) turnover was conditionally associated with an infection control citation. Conditional on having at least an isolated citation for infection control, staff turnover was positively associated with receiving a citation coded as a “pattern” (AME = 0.21 pp; 95% CI: 0.10, 0.32). Conditional of having at least a pattern citation, staff turnover was positively associated with receiving a widespread citation (AME = 0.21 pp; 95% CI: 0.10, 0.32).

Conclusions

Turnover was positively associated with the probability of an infection control citation. Staff turnover should be considered an important factor related to the spread of infections within nursing homes.