bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emotional intelligence and materialism: the mediating effect of subjective well-being
Authors: Rūtelionė Aušra , Šeinauskienė Beata , Nikou Shahrokh , Lekavičienė Rosita , Antinienė Dalia 
Published: January 2022

Purpose
The purpose of this study is to examine the nature of the relationship between emotional intelligence and materialism by exploring how subjective well-being mediates this link.

Design/methodology/approach
Data was collected from surveying 1,000 Lithuanians within random sampling, and structural equation modelling (SEM) techniques using SmartPLS were used to analyze the data.

Findings
The results show that emotional intelligence not only has a negative indirect effect on materialism but also a positive impact on both dimensions of subjective well-being (satisfaction with life and affect balance). In addition, the findings indicate that both satisfaction with life and affect balance predict a decrease in materialism. Finally, the SEM analyzes show that the path between emotional intelligence and materialism is partially mediated by both satisfaction with life and affect balance.

Social implications
The results of this study expand the understanding to what extent and how emotional intelligence is able to assist in adjusting materialistic attitudes, which have become more prevalent with the respective growth of consumerism and consumer culture worldwide. In the light of unsustainable consumption patterns threatening the survival of humankind and nature, the opportunities that could reverse this trend are presented for marketers and policy makers. This study gives insight into the potential pathways for diminishing consumer materialism, which is considered detrimental to subjective well-being and mental health.

Originality/value
The relationship between emotional intelligence and subjective well-being has been well documented, as has the link between materialism and subjective well-being. However, the simultaneous examination of the relationship between emotional intelligence, subjective well-being and materialism is lacking. The current study adds to the understanding of materialism not only by examining the effect of under-researched antecedent such as emotional intelligence but also by explaining the underlying mechanism of subjective well-being by which emotional intelligence connects to materialism.
Designing a multi-division model of national innovation capability promotion based on social network analysis
Authors: Torabandeh Mohammad Ali , Dorri Behrouz , Rabieh Masood , Motameni Ali Reza 
Published: January 2022

Purpose
This study aims to design a national innovation capability appraisal model. This would indicate Iran’s competitiveness situation among regional countries and suggest factors influencing Iran’s performance promotion.

Design/methodology/approach
The methodology included four sections: bibliometric analysis to discover intellectual evolution of innovation capability and related concepts; construction of a multi-division structure of national innovation capability according to the clusters extracted from bibliometric results, and experts’ opinions; creating dynamic network data envelope analysis (DEA) according to designed structure, and analysis of Iran’s performance among regional countries; identification and prioritization of the factors extracted from experts’ opinions that improve Iran’s performance in created network using Fuzzy decision-making trial and evaluation laboratory method.

Findings
The contemporary bibliometric analysis by its extracted clusters proved the necessity of a multi-division for measuring national innovation capability performance that each division and indicators of each step were designed according to clusters concepts. In designed structure, dynamic network DEA results revealed the weakness of Iran’s performance in the third division in the transformation of patents and high-tech imports to high-tech and creative exports, which led to proposing improving factors by getting experts’ opinions to enhance Iran’s performance in this division by prioritizing them.

Research limitations/implications
One of the limitations of this research was that the indicators used in three phases of national innovation capability in DEA were extracted only from the World Intellectual Property Organization database. Another limitation was the number of experts in focus group sessions because due to the difficulty of gathering them in one session, the researchers lost the participation of some of these recognized experts. Also, the research concentration was on the improvement of the third phase of national innovation capability, in which Iran’s performance was weak.

Originality/value
Creating a relationship between the divisions of dynamic network DEA, as a national innovation capability appraisal model, and the concepts of clusters extracted from reviewing the intellectual structure and evolution of innovation capability and related concepts.
The value of probabilistic forecasting in emergency medical resource planning under uncertainty
Authors: Chen Zhen-Yu 
Published: January 2022

PurposeMost epidemic transmission forecasting methods can only provide deterministic outputs. This study aims to show that probabilistic forecasting, in contrast, is suitable for stochastic demand modeling and emergency medical resource planning under uncertainty.Design/methodology/approachTwo probabilistic forecasting methods, i.e. quantile regression convolutional neural network and kernel density estimation, are combined to provide the conditional quantiles and conditional densities of infected populations. The value of probabilistic forecasting in improving decision performances and controlling decision risks is investigated by an empirical study on the emergency medical resource planning for the COVID-19 pandemic.FindingsThe managerial implications obtained from the empirical results include (1) the optimization models using the conditional quantile or the point forecasting result obtain better results than those using the conditional density; (2) for sufficient resources, decision-makers' risk preferences can be incorporated to make tradeoffs between the possible surpluses and shortages of resources in the emergency medical resource planning at different quantile levels; and (3) for scarce resources, the differences in emergency medical resource planning at different quantile levels greatly decrease or disappear because of the existing of forecasting errors and supply quantity constraints.Originality/valueVery few studies concern probabilistic epidemic transmission forecasting methods, and this is the first attempt to incorporate deep learning methods into a two-phase framework for data-driven emergency medical resource planning under uncertainty. Moreover, the findings from the empirical results are valuable to select a suitable forecasting method and design an efficient emergency medical resource plan.
Are smart manufacturing systems beneficial for all SMEs? Evidence from Korea
Authors: Jang Soojeen , Chung Yanghon , Son Hosung 
Published: January 2022

PurposeThrough the resource-based view (RBV) and contingency theory, this study empirically investigates the impacts of smart manufacturing systems' maturity levels on the performance of small and medium-sized enterprises (SMEs). Moreover, it aims to examine how industry types (i.e. high- and low-tech industries) and human-resource factors (i.e. the proportion of production workers to total workers) as contingency factors influence the effects of smart manufacturing systems.Design/methodology/approachThe study conducted an empirical investigation of a sample of 163 Korean manufacturing SMEs. This study used an ordinary least squares regression to examine the impacts of the maturity levels of smart manufacturing systems on financial performance. Moreover, the impacts on operational efficiency were analysed using data envelopment analysis based on bootstrap methods and Tobit regression.FindingsThe RBV results indicate that the higher the maturity levels of smart manufacturing systems, the higher the financial performance and operational efficiency. Moreover, based on contingency theory, this study reveals that the effect of the maturity levels of smart manufacturing systems on financial performance and operational efficiency depends on firms' industry types and the proportion of production workers.Research limitations/implicationsThis study shows that the introduction of smart manufacturing systems can help SMEs achieve better financial performance and operational efficiency. However, their effectiveness is contingent on firms' industry types and the characteristics of their human resources.Practical implicationsSince the effects of the maturity levels of smart manufacturing systems on SME performance differ depending on their industries and the characteristics of human resources, managers need to consider them when introducing or investing in smart manufacturing systems.Originality/valueBased on the RBV and contingency theory, this is the first empirical study to examine the moderating effects of industry types and the proportion of production workers on the impacts of the maturity levels of smart manufacturing systems on the financial performance and operational efficiency of SMEs.
Nutrient variability of rice landraces (Oryza sativa L.) from Manipur, Northeast India and its nutrients supply potential in rice-based diets
Authors: Longvah T. , Chauhan Anitha , Mudavath Sreedhar , Varanasi Bhaskar , CN Neeraja 
Published: January 2022

Purpose
Rice landraces are essential for supplying beneficial traits for developing improved rice varieties with better nutritional quality. Nevertheless, in a yield-driven environment, grain nutritional quality has been ignored especially that of rice landraces. Given this, the purpose of this study is to evaluate the content and nutritional variability of rice landraces from Manipur.

Design/methodology/approach
Thirty-three most popular rice landraces were collected as dry paddy samples from Manipur and transported to the National Institute of Nutrition, Hyderabad, by air. All the paddy samples were processed and analyzed for 35 nutrient parameters using standard methodologies.

Findings
The mean nutrient content of Nagaland brown rice was: protein 7.5 ± 0.8, fat 3.0 ± 0.3, TDF 5.5 ± 0.4 and ash 1.2 ± 0.2 g/100g. The range of water soluble-vitamin content in mg/100g, was 0.1–0.43 for Thiamine and for Niacin 2.1–3.5, while the content in µg/100g was 40–64 for Riboflavin, 0.5–3.9 for Pantothenic acid and 20–118 for Pyridoxine. A relatively large coefficient of variation was observed for iron (25%), manganese (28%), copper (32%), calcium (13%) and phosphorus (11%). Manipur rice landraces have significantly higher total dietary fiber and lower phytate contents than modern varieties. Milling led to steep losses of nutrients, and limiting to 5% milling substantially improves nutrient retention in milled rice.

Research limitations/implications
Future nutrition interventions should use rice with superior nutrient quality to improve nutrient intakes. Manipur rice landraces conserved over generations can broaden the genetic base of breeding stocks especially in the face of climate change.

Originality/value
The paper presents comprehensive nutritional data of 33 rice landraces from the state of Manipur, India. The results indicate large nutrient variability even within these 33 rice landraces with important traits such as high total dietary fiber and low phytate contents. The study highlights the importance of conserving the existing rich genetic material of Manipur rice landraces to develop varieties that combine higher yields with stress tolerance and superior grain nutritional value to improve the food and nutrient security.
Innovative work behaviour: the what, where, who, how and when
Authors: Farrukh Muhammad , Meng Fanchen , Raza Ali , Wu Yihua 
Published: January 2022

PurposeThis study aims to analyse the current trends and set the future research agenda in employee-level innovative work behaviour (IWB) research.Design/methodology/approachA portfolio of 910 publications on IWB collected from the Scopus database was systematically analysed using different bibliometric techniques.FindingsBased on the performance analysis and science mapping of innovative work behaviour research, the study identifies the most prolific sources of IWB publications and lists several future research directions.Originality/valueThis paper could serve as one-stop information that may facilitate transdisciplinary endeavours by assisting scholars and practitioners in identifying peer-recognised publications and scholarly communities.
Travel with the “giants” of the Harlem Renaissance
Authors: Wadlington Cynthia Leigh , Strickland Janet , Ramsay-Jordan Natasha N. , Smith Andrea 
Published: January 2022

PurposeHarlem Renaissance Party by Faith Ringgold follows a young boy and his uncle as they visit the “giants” of the Harlem Renaissance. Lonnie and Uncle Bates travel through Harlem to meet historical figures, such as W.E.B. Du Bois, Langston Hughes, Madam CJ Walker and others. They also visit historical venues where Black artists performed. Such venues included the Cotton Club, the Harlem Opera House and the Schomburg Library.Design/methodology/approachAs students study the end of the Civil War and the early 1900s, they should learn about the causes of the Great Migration that led Black artists to flee from the south to larger cities in the north. In addition, Jim Crow Laws and other discriminatory practices prevented Black artists from performing their crafts. The Harlem Renaissance has had lasting effects on arts, music, literature and dance. In addition, students should use credible sources to gather information and documents about historical events and people.FindingsThese inquiry-based activities also integrate arts education and history to reach diverse student populations as they gain meaningful experiences interacting with authentic documents.Originality/valueAs students study the end of the Civil War and the early 1900s, they should learn about the causes of the Great Migration that led Black artists to flee the south to larger cities in the north. In addition, Jim Crow Laws and other discriminatory practices prevented Black artists from performing their crafts.
Black and proud: Impact of intergenerational racism upon global majority family systems
Authors: Afuape Kehinde , Bisimwa Nsimere , Campbell Kate , Jemmott Rukiya , Jude Julia , Nijabat Nasif , Olorunoje Moyosore , Simpson Sharon 
Published: January 2022

AbstractRacism is a pervasive force; its influence is felt in the lives of Global Majority people worldwide, and across generations. As Global Majority systemic psychotherapists in the UK, we take a position to stand against racism in all areas of systemic theory and practice. The ideas in this paper offer an opportunity for all systemic psychotherapists to join us in the decolonisation of theories, practices and knowledge, to step outside White Western structures that have kept Global Majority voices silenced for too long. This article reviews the damage of intergenerational racism upon the lives of Global Majority systemic psychotherapists and the Global Majority families we support. We invite systemic psychotherapy to begin drawing on the rich cacophony of Indigenous knowledge, from Africa and the Caribbean, and from East, West and South Asia to de‐centre ‘White ways of knowing’.
Risk analysis in social housing delivery: A public–private partnerships approach
Authors: Chiang Lee‐Yun , Earl George , Liu Benjamin , Reid Sacha , Roca Eduardo 
Published: January 2022

AbstractFaced with fiscal pressure and concerns over bureaucratic inefficiency, policymakers at Australia's state government level are evaluating instruments to improve social housing services. A public–private partnerships (PPPs) procurement approach is one such instrument for increasing housing supply to address housing affordability in Australia. To determine the value of pursuing a project through a PPP delivery versus a traditional procurement approach, public administrators need to determine discount rates for comparing different cash flows streams on a consistent basis. Additionally, they must estimate public sector comparator (PSC) to determine public sector's risk exposure in social housing delivery and allocating constrained housing budgets. This research assesses the discount rates and estimates the risk profile of social housing delivery faced by public agencies. Three case studies were utilised to present project estimate probability distributions for gaining insight into risk exposure in social housing delivery and helping housing budget allocation at the state government level. The findings recommend the use of an estimated 30‐year treasury bond rate (3.14%) as the PSC discount rate for social infrastructure. Additionally, the results suggest the use of a PPP discount rate for social housing of 6.01%, given a risk‐free rate of 3.14% and a systematic risk premium of 2.87%.
Age‐at‐death estimation from the auricular surface of the ilium: A test of a sex‐specific component method
Authors: Ost Andrea M. 
Published: January 2022

AbstractAccurate age‐at‐death estimation is important for both paleodemographic studies and forensic casework. Although the auricular surface of the ilium is a well‐validated skeletal indicator for aging studies, problems persist with identifying features that estimate age accurately in older individuals. This study tests the utility of one method, developed by Igarashi et al. (2005), which claims to estimate age more accurately in older individuals using a presence/absence scoring system for 13 auricular surface traits. Four hundred (400) individuals, aged 16–93 years, from the Hamann‐Todd Collection were examined to test the performance of Igarashi et al.’s method in a North American sample. Pearson's product‐moment correlation tests were performed for both the overall method and individual traits to assess correlation with chronological age. Eleven of the 13 traits showed statically significant correlations with chronological age, and nine were found to have higher correlations than originally reported. The method showed a tendency toward negative bias (i.e., a tendency to under‐age individuals, particularly in the older age range). Models for both males and females and full and reduced models developed by Igarashi et al. were tested; the sex‐pooled full model performed best, and the female full model performed most poorly. Although this method did not have significantly higher accuracy rates in a North American sample than other auricular surface methods, unique traits identified by Igarashi et al. did correlate with chronological age. In future studies, these traits should be investigated using different scoring systems (e.g., character states), as they show utility for aging research.
Review article: DINED (Delivery‐related INjuries in the Emergency Department) part 1: A scoping review of risk factors and injuries affecting food delivery riders
Authors: McKinlay Andrew , Mitchell Gary , Bertenshaw Claire 
Published: January 2022

AbstractThis scoping review describes the current state of research about two‐wheeled delivery riders who have been injured while performing commercial food delivery. The key areas of interest are the patterns of injury, associated risk factors and current gaps in knowledge. Five databases were searched to identify key papers that describe injuries to two‐wheeled food delivery riders. Papers were assessed for quality and eligibility and key information was extracted relating to patterns of injury and risk factors. From an initial 264 records from PubMed, Embase, CINAHL, Scopus and SafetyLit, studies were screened by title, abstract and full text to yield 12 key papers for analysis. No papers reporting on Australian data were identified. Men comprise over 85% of workers in the food delivery industry. The average age of injured riders varies by country, but is commonly under 30 years old. Most injuries are lower limb musculoskeletal injuries, although there are no consistent data about frequency, severity or cost to the healthcare system. Twenty‐three key risk factors were categorised according to rider characteristics, working conditions and environmental factors. The most common risk factors were younger age, lack of driving experience, time‐pressured work and inadequate protective gear. There are very few publications describing food delivery rider injuries and risk factors. This is an emerging industry in which the worker population may be younger and more vulnerable. Given the different legal and cultural contexts across different countries, Australian‐specific research is needed.
Nutrient Retention and Release in Eroding Chesapeake Bay Tidal Wetlands
Authors: Cornwell Jeffrey C. , Owens Michael S. , Staver Lorie W. 
Published: January 2022

AbstractThe worldwide loss of coastal wetlands has traditionally been addressed as the loss of ongoing nutrient retention ecosystem services. However, nutrient remineralization from eroded particles may further exacerbate water quality degradation. Using data on nutrient burial and denitrification from northern Chesapeake Bay, along with estimates of the bioavailability of eroded marsh particulates, the changing role of wetlands as an important sink for nutrients is examined. Although the erosion of wetlands results in the reintroduction of nitrogen and phosphorus into open‐water habitats, the potential for exacerbating eutrophication is highly diminished by the low lability of wetland organic matter. The impact of such erosion on the cycling of Fe‐bound phosphorus from marsh soils is highly dependent on both the amount of inorganic P, its solid phase association with Fe, and its potential remobilization from the estuarine sediments into which it is deposited. Although nutrient sequestration in newly constructed wetlands built from dredged materials suggested a rapid development of nutrient sequestration, a better understanding of nutrient ecosystem services provided by marshes created by transgression into uplands is necessary for understanding the long‐term nutrient retention value of coastal wetlands.
Tissue engineering strategies to bioengineer the ageing skin phenotype in vitro
Authors: Costello Lydia , Dicolandrea Teresa , Tasseff Ryan , Isfort Robert , Bascom Charlie , von Zglinicki Thomas , Przyborski Stefan 
Published: January 2022

AbstractHuman skin ageing is a complex and heterogeneous process, which is influenced by genetically determined intrinsic factors and accelerated by cumulative exposure to extrinsic stressors. In the current world ageing demographic, there is a requirement for a bioengineered ageing skin model, to further the understanding of the intricate molecular mechanisms of skin ageing, and provide a distinct and biologically relevant platform for testing actives and formulations. There have been many recent advances in the development of skin models that recapitulate aspects of the ageing phenotype in vitro. This review encompasses the features of skin ageing, the molecular mechanisms that drive the ageing phenotype, and tissue engineering strategies that have been utilised to bioengineer ageing skin in vitro.