bluuebunny/crossref_metadata_2025_split huggingface dataset:
Supplier centrality, innovation value and supplier acquisition: evidence from US high-tech manufacturing firms
Authors: Kim Dong-Young , Fortado Bruce 
Published: October 2021

PurposeThe importance of supply chain network centrality has been widely recognized in the manufacturing literature. This study extends this literature by investigating the relationship between network centrality and innovation value. “Innovation value” refers to an innovation's impact, quality and potential future contribution to technological development in a business community. This study also aims to examine whether the relationship between supplier centrality and innovation value is contingent upon supplier acquisition.Design/methodology/approachThe study hypotheses are tested with archival data collected from US high-tech manufacturing industries over the 17-year period. Negative binomial regression analysis was used to test the hypotheses.FindingsThe authors found that supplier centrality has a significant positive relationship with innovation value. Moreover, an increase in supplier acquisition activities makes the relationship between supplier centrality and innovation value more positive.Originality/valueThis study contributes to the manufacturing and technology management research by exploring the impact of supplier centrality on innovation value. The results of this study shed light on the importance of a firm's central network position in enhancing the impact and quality of innovation. This study uncovers contingencies that help realize the potential benefits of holding a central network position.
Service inclusion: the role of disability identity in retail
Authors: Dodds Sarah , Palakshappa Nitha 
Published: October 2021

Purpose
The purpose of this research is to explore the role of identity for consumers with disabilities in a retail context. Understanding disability identity is critical to ensuring inclusion in service environments. Despite the growing call to understand the role of identity in consumer services, research on disability identity and the impacts of identity on service inclusion remains minimal.

Design/methodology/approach
A qualitative methodology generated data through personal narratives from people with disabilities revealing deep insights into the complexity of identity in a fashion retail context.

Findings
Emergent themes detail five consumer disability identities – authentic unique self, integrated self, community self, expressive self and practical self – seen when viewing service experiences from the perspective of people with lived experience of disability. Individual and collective agency also emerged as key themes that enable people with disabilities to feel a sense of inclusion.

Originality/value
This research explores the service experiences of people with disabilities in a retail context through a disability identity lens. The authors contribute to service literature by identifying five consumer disability identities that people with a disability adopt through their service experience and present a typology that demonstrates how each identity impacts on agency, with implications for service inclusion.
A folksonomy-based collaborative filtering method for crowdsourcing knowledge-sharing communities
Authors: Zhou Kangqu , Yang Chen , Li Lvcheng , Miao Cong , Song Lijun , Jiang Peng , Su Jiafu 
Published: October 2021

PurposeThis paper proposes a recommendation method that mines the semantic relationship between resources and combine it with collaborative filtering (CF) algorithm for crowdsourcing knowledge-sharing communities.Design/methodology/approachFirst, structured tag trees are constructed based on tag co-occurrence to overcome the tags' lack of semantic structure. Then, the semantic similarity between tags is determined based on tag co-occurrence and the tag-tree structure, and the semantic similarity between resources is calculated based on the semantic similarity of the tags. Finally, the user-resource evaluation matrix is filled based on the resource semantic similarity, and the user-based CF is used to predict the user's evaluation of the resources.FindingsFolksonomy is a knowledge classification method that is suitable for crowdsourcing knowledge-sharing communities. The semantic similarity between resources can be obtained according to the tags in the folksonomy system, which can be used to alleviate the data sparsity and cold-start problems of CF. Experimental results show that compared with other algorithms, the algorithm in this paper performs better in mean absolute error (MAE) and F1, which indicates that the proposed algorithm yields better performance.Originality/valueThe proposed folksonomy-based CF method can help users in crowdsourcing knowledge-sharing communities to better find the resources they need.
Synergistic networks of COVID-19’s top papers
Authors: Riahinia Nosrat , Danesh Farshid , GhaviDel Somayeh 
Published: October 2021

PurposeSynergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.Design/methodology/approachThe synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.FindingsThe findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.Originality/valueIn a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.
The effect of workplace bullying on burnout: the mediating role of affective well-being
Authors: Ribeiro Neuza , Semedo Ana Suzete , Gomes Daniel , Bernardino Rita , Singh Sharda 
Published: October 2021

Purpose
This study aims to examine the impact of workplace bullying on employees’ burnout by investigating the mediating effect of affective well-being (AWB).

Design/methodology/approach
Data of 532 employees from diverse organizations in Portugal were collected. These data were collected using anonymously completed structured questionnaires available online.

Findings
The results support the research hypotheses proposed, confirming that workplace bullying is related to both AWB and burnout. Moreover, affective workplace bullying partially mediates the relationship between workplace bullying and burnout, indicating that the victims have their AWB reduced, and, consequently, increase their burnout levels.

Practical implications
The findings suggest that organizations can foster employees’ AWB and reduce the level of burnout by encouraging organizations to develop preventive policies and practices to safeguard against bullying at work.

Originality/value
To this date, only a few studies have examined mediating and moderating variables (Nielsen and Einersen, 2018) and none include AWB as a mediator of the relationship between workplace bullying and burnout. This study answers the call for further empirical research from those who have argued that more information is needed to understand the workplace bullying phenomenon and contributes to the growing debate on this topic and its effects on employees.
Fabrication of temperature-regulating functional fabric based on n-octadecane/SWCNTs composite phase change material
Authors: Zhang Wei , Weng Jiali , Hao Shang , Xie Yuan , Li Yonggui 
Published: October 2021

Purpose
Fabrics with photothermal conversion functions were developed based on the introduction of shape stable composite phase change materials (CPCMs).

Design/methodology/approach
Acidified single-walled carbon nanotubes (SWCNTs) were selected as support material to prepare CPCMs with n-octadecane to improve the thermal conductivity and shape stability. The CPCMs were finished onto the surface of cotton fabric through the coating and screen-printing method. The chemical properties of CPCMs were characterized by Fourier transform infrared spectrometer, XRD and differential scanning calorimetry (DSC). The shape stability and thermal conductivity were also evaluated. In addition, the photothermal conversion and temperature-regulating performance of the finished fabrics were analyzed.

Findings
When the addition amount of acidified SWCNTs are 14% to the mass of n-octadecane, the best shape stability of CPCMs is obtained. DSC analysis shows that the latent heat energy storage of CPCMs is as high as 183.1 J/g. The thermal conductivity is increased by 84.4% compared with that of n-octadecane. The temperature-regulating fabrics coated with CPCMs have good photothermal conversion properties.

Research limitations/implications
CPCMs with high latent heat properties are applied to the fabric surface through screen printing technology, which not only gives the fabric the photothermal conversion performance but also reflects the design of personalized patterns.

Practical implications
CPCMs and polydimethylsiloxane (PDMS) are mixed to make printing paste and printed cotton fabric with temperature-regulating functional is developed.

Originality/value
SWCNTs and n-octadecane are composited to prepare CPCMs with excellent thermal properties, which can be mixed with PDMS to make printing paste without adding other pastes. The fabric is screen-printed to obtain a personalized pattern and can be given a thermoregulatory function.
New coating formulation based on synthesized benzodiazepine derivatives as double function additives for industrial application
Authors: Mostafa Saleh Nashwa , Elsawy Maha Mohammed , Abd El-Wahab Hamada , Salem Salem Salah , Abd El-Sattar Nour El-Din 
Published: October 2021

Purpose
The purpose of this study is to develop a new protective coating formulation for industrial use, using benzodiazepine derivatives as double function additives.

Design/methodology/approach
Benzodiazepine’s derivatives of types (3–5) were prepared and confirmed by infrared, Mass, 1H-Proton nuclear magnetic resonance (NMR) and 13C NMR spectra. The synthesized compound was physically incorporated in the alkyd paint formulation by pebble mill grinding until all particulates are smaller than 20 ums. The prepared coatings were applied by air spray on steel panels. The physical, mechanical characteristics, corrosion resistance and antimicrobial test of the prepared coatings were studied to evaluate the prepared compounds drawbacks.

Findings
The results of the mechanical and physical properties of the paint formulation revealed that the paint formulation incorporating benzodiazepines derivatives 3–5 performed best and improved corrosion-resistance and antibacterial activity tests.

Research limitations/implications
In alkyd paint, heterocyclic compounds are the most used antibacterial additives. Other functionalities of these compounds, such as corrosion inhibitors, might be studied to see if they are suited for these applications.

Practical implications
Because of the activity of various benzodiazepine derivatives, which may be attributable to the presence of some function groups such as sulfonamide aromatic amino NH2 group, and elements such as Sulphur, Nitrogen, Chlorine, in its chemical structure. As a result, paint compositions including these compounds as additives can be used as dual-purpose paint and for a variety of industrial applications.

Originality/value
The research demonstrates how a low-cost paint composition based on synthesized benzodiazepine derivatives 3–5 may be used as a dual-function paint for industrial use.
Technical efficiency and its determinants in the Indian textile garments industry
Authors: Abdulla  , Kumar Shiv 
Published: October 2021

PurposeThis paper aims to examine technical efficiency and its determinants in Indian textile garments industry in post-agreement on textiles and clothing regime and evaluate the technical efficiency among micro, small and medium enterprises (MSMEs) firms.Design/methodology/approachThis study uses unbalanced panel data for the period 2005–2010 to 2015–2016. The stochastic frontier function is used to estimate technical efficiency and its determinants.FindingsThe results show that the overall ecosystem of textile garments’ value chains could be improved to enhance the technical efficiency thereof. The result also reveals that small-scale firms have the highest technical efficiency scores, and medium-scale firms have the least technical efficiency score among all the categories of MSMEs.Research limitations/implicationsThe textile garments industry needs to define its innovation strategies, as these strategies lead to different results that can be achieved only through the management of resources dedicated to the generation and implementation of innovations.Practical implicationsThis study has shown that to offset India’s cost disadvantage in the international markets, there is a need to develop an ecosystem of textile manufacturing and value chains, eliminate the inverted duty structure (where inputs are taxed at a higher rate than the final product) and switch over from shuttle looms toward shuttle-less looms. This would unleash the potential of textile and garments industry and make it globally competitive and technically efficient. Further, there will be an alignment with the ease of doing business with an appropriate mix of policy, technology, institution, infrastructure, information and services.Originality/valueUsing frontier production function takes stochastic context into account for the dynamic character of technical efficiency and its components. Most of the past studies have assessed technical efficiency at the aggregate level using three-digit National Industrial Classification (NIC) or four-digit NIC code. An analysis at higher levels of aggregation masks the variation in technical efficiency. This study used five-digit NIC data to measure the firm-specific technical efficiency of the textile industry. According to the authors’ knowledge, this study is the first of its kind in the Indian textile industry using stochastic frontier approach and panel data. Further, it also looks at the contribution of different determinants in technical efficiency to the firms.
Strategic CSR practices, strategic orientation and business value creation among multinational subsidiaries in Ghana
Authors: Anlesinya Alex , Abugre James B. 
Published: October 2021

Purpose
This study aims to examine the direct influence of strategic corporate social responsibility (CSR) practices on business value creation while accounting for the moderating and mediating roles of strategic orientation.

Design/methodology/approach
It used data from 118 CSR-intensive multinational subsidiaries operating in five major different industries in Ghana and applied hierarchical regression and bootstrapping via Hayes’ PROCESS Macro for the analyses.

Findings
The results showed that strategic CSR practices comprising of strategic CSR planning, strategic CSR implementation and strategic CSR positioning contribute positively and significantly to business value creation of multinational subsidiaries. Moreover, it found that strategic orientation has directly predicted business value creation significantly and further mediated the nexus between business value creation and the three strategic CSR practices. However, it did not moderate the influence of strategic CSR practices on business value creation.

Originality/value
The study validates and adds to the knowledge on strategic CSR and business value creation theory by demonstrating that strategic CSR practices of multinational corporation (MNCs) are parallel to their subsidiaries’ commitment to shared growth in host countries. Similarly, it provides a better understanding of the dual roles of MNCs’ strategic orientation on strategic CSR practices and business value creation, thereby offering valuable information about the underlying economic process and context that can affect the strategic business value of firms’ strategic CSR practices.
Interspecific wood trait variation predicts decreased carbon residence time in changing forests
Authors: Perez Sierra B. , Fraterrigo Jennifer M. , Dalling James W. 
Published: October 2021

Abstract

Increasing disturbance will result in a significant flux in above‐ground carbon (C) from live trees to deadwood, concurrent with shifts in forest composition. While interspecific decay variation is widely reported, the implications of compositional change on ecosystem‐level deadwood decay and consequently the future of a globally significant C pool have not been previously explored.

Leveraging a 25‐year treefall record for two eastern hardwood forests in central Illinois, USA, we used a chronosequence approach to estimate downed deadwood decay rates for eight common tree taxa. We hypothesized that the increasing dominance of Acer spp. in eastern forests, due to disturbance regime changes, is driving an increase in the mean species‐weighted deadwood decay rate, decreasing the total C storage capacity of regional forests.

We observed significantly greater interspecific variation in deadwood decay rates than short‐term studies, with a nearly 12‐fold difference in half‐lives between Aesculus glabra (T1/2 = 6.2 years) and Quercus spp. (T1/2 = 71.1) logs. The canopy‐dominant Acer saccharum (T1/2 = 19.1) decayed significantly faster than other historically dominant eastern taxa, Quercus spp. and Fraxinus spp. (T1/2 = 41.4). Wood traits, notably taxon initial wood C:N ratio, pH and Mn concentration, outweighed local environmental factors in explaining variation in decay rates. Taken together, our findings suggest that at multi‐decadal time‐scales, species traits are the dominant controls of wood decay rates.

Our findings corroborate previous studies showing species with slow‐decaying wood tend to have higher C:N ratios. Our species‐specific decay estimates highlight the importance of longer term studies for accurately assessing the decay of high C:N ratio species, as shorter term decay studies are prone to underestimating their decay rates. Our results suggest that ongoing forest compositional changes, where fast‐growing species with less‐dense wood are becoming increasingly abundant, have substantially diminished the deadwood C pool over the last century (species abundance‐weighted mean T1/2 in 1922 = 16.9; T1/2 2020 = 10.5).

A free Plain Language Summary can be found within the Supporting Information of this article.
Distinguishing within‐ from between‐individual effects: How to use the within‐individual centring method for quadratic patterns
Authors: Fay Rémi , Martin Julien , Plard Floriane 
Published: October 2021

Abstract

Any average pattern observed at the population level (cross‐sectional analysis) may confound two different types of processes: some processes that occur among individuals and others that occur within individuals. Separating within‐ from among‐individual processes is critical for our understanding of ecological and evolutionary dynamics.

The within‐individual centring method allows distinguishing within‐ from among‐individual processes and this method has been widely used in ecology to investigate both linear and quadratic patterns. Here we show that two alternative equations could be used for the investigation of quadratic within‐individual patterns. We explain the different assumptions and constraints of both equations. Reviewing the literature, we found that mainly one of these two equations has been used in studies investigating quadratic patterns. Yet this equation might not be the most appropriate in all circumstances leading to bias and imprecision.

We show that these two alternative equations make different assumptions about the shape of the within‐individual pattern. One equation assumes that the within‐individual effect is related to an absolute process whereas the other assumes the effect arises from an individual relative process. The choice of using one equation instead of the other should depend upon the biological process investigated.

Using simulations, we showed that a mismatch between the assumptions made by the equation used to analyse the data and the biological process investigated might led to flawed inference affecting output of model selection and accuracy of estimates. We stress that the equation used should be chosen carefully. We provide step by step guidelines for choosing an equation when studying quadratic pattern with the within‐individual centring approach. We encourage the use of the within‐individual centring method, promoting its relevant application for nonlinear relationships.
Incorporating thermodynamics in predator–prey games predicts the diel foraging patterns of poikilothermic predators
Authors: Ito Koichi , Higginson Andrew D. , Ruxton Graeme D. , Papastamatiou Yannis P. 
Published: October 2021

Abstract

Models of foraging behaviour typically assume that prey do not adapt to temporal variation in predation risk, such as by avoiding foraging at certain times of the day. When this behavioural plasticity is considered—such as in predator–prey games—the role of abiotic factors is usually ignored.

An abiotic factor that exerts strong influence on the physiology and behaviour of many animals is ambient temperature, although it is often ignored from game models as it is implicitly assumed that both predators and prey are homothermic. However, poikilotherms' performance may be reduced in cold conditions due to reduced muscle function, limiting the prey‐capture ability of predators and the predator‐avoidance and foraging abilities of prey.

Here, we use a game‐theoretic predator–prey model in which diel temperature changes influence foraging gains and costs to predict the evolutionarily stable diel activity of predators.

Our model predicts the range of patterns observed in nature, including nocturnal, diurnal, crepuscular and a previously unexplained post‐sunset crepuscular pattern observed in some sharks. In general, smaller predators are predicted to be more diurnal than larger ones. The safety of prey when not foraging is critical, explaining why predators in coral reef systems (with safe refuges) may often have different foraging patterns to pelagic predators.

We make a range of testable predictions that will enable the further evaluation of this theoretical framework for understanding diel foraging patterns in poikilotherms.