bluuebunny/crossref_metadata_2025_split huggingface dataset:
BAME employees' work experience in the UK public sector: an empirical study of academic and research libraries
Authors: Ishaq Mohammed , Hussain Asifa Maaria 
Published: February 2022

PurposeThe research was aimed at gauging the experiences of Black, Asian and minority ethnic (BAME) staff working in academic and research libraries across the UK, part of the higher education and public sector significantly under researched.Design/methodology/approachUsing an essentially qualitative approach involving a focus group and in-depth interviews, the research design aimed to capture the lived experiences of BAME library employees.FindingsBAME employees are very conscious of their ethnicity due to a feeling of being monitored and under pressure to perform to a higher standard. BAME staff are subjected to verbal racism including microaggression from co-workers. There is no adequate mechanism in place to address the concerns of BAME staff and represent their interests. BAME employees are overrepresented at lower ends of the profession and are not encouraged by line managers to pursue promotion opportunities leading to a distinct lack of diversity at the top level of academic libraries.Research limitations/implicationsThere are implications for the work experience and career development of BAME library staff, for the leadership and management of libraries and the wider higher education sector to reflect upon.Originality/valueBased on real life experiences of BAME staff, this research plugs a gap in a neglected area of the public and higher education sector and provides an opportunity for managers of academic libraries to reflect on the issues raised and consider interventions.
A progressive genetic-based neural architecture search
Authors: Chen Yi-Cheng 
Published: February 2022

PurposeRecently, more and more attention has been put forth on the application and deep learning, due to the widespread practicability of neural network computation. The purpose of this paper is developing an effective algorithm to automatically discover the optimal neural network architecture for several real applications.Design/methodology/approachThe author proposes a novel algorithm, namely, progressive genetic-based neural architecture search (PG-NAS), as a solution to efficiently find the optimal neural network structure for given data. PG-NAS also employs several operations to effectively shrink the search space to reduce the computation cost and improve the accuracy validation.FindingsThe proposed PG-NAS could be utilized on several tasks for discovering the optimal network structure. The author reduces the demand of manual settings when implementing artificial intelligence (AI) models; hence, PG-NAS requires less human intervention than traditional machine learning. The average and top-1 metrics, such as error, loss and accuracy, are used to measure the discovered neural architectures of the proposed model over all baselines. The experimental results show that, with several real datasets, the proposed PG-NAS model consistently outperforms the state-of-the-art models in all metrics.Originality/valueGenerally, the size and the complexity of the search space for the neural network dominates the performance of computation time and resources. In this study, PG-NAS utilizes genetic operations to effectively generate the compact candidate set, i.e. fewer combinations need to be generated when constructing the candidate set. Moreover, by the proposed selector in PG-NAS, the non-promising network structure could be significantly pruned off. In addition, the accuracy derivation of each combination in the candidate set is also a performance bottleneck. The author develops a predictor network to efficiently estimate the accuracy to avoid the time-consuming derivation. The learning of the prediction process is also adjusted dynamically; this adaptive learning of the predictor could capture the pattern of training data effectively and efficiently. Furthermore, the proposed PG-NAS algorithm is applied on several real datasets to show its practicability and scalability.
Impact of brand nostalgia on intention to purchase brand extensions: moderating role of brand attachment
Authors: Banerjee Shubhomoy , Shaikh Ateeque 
Published: February 2022

Purpose
The study aims to investigate the impact of brand nostalgia, self-brand connections and parent brand trust on brand extension purchase intention. Additionally, the research examines the moderating effect of brand attachment on the link between brand nostalgia and intention to purchase brand extensions, as well as the relationship between self-brand connections and intention to purchase brand extensions.

Design/methodology/approach
The study collected data from 458 respondents in India using a cross-sectional survey research methodology. The collected data were analysed in two stages in SPSS, using structural equation modelling and the process macro bootstrapping method.

Findings
The study’s results indicate that although brand nostalgia and self-brand linkages exert a favourable impact on intention to purchase brand extensions, this effect is not significant when it comes to brand trust. Brand attachment acts as a moderator between brand nostalgia and the intention to purchase brand extensions. Additionally, brand attachment acts as a moderator between self-brand connections and the intention to purchase brand extensions.

Research limitations/implications
The study adds to the consumer–brand relationship and brand extension literature by proposing and empirically testing a comprehensive model that determines the role of brand nostalgia in the formation of self-brand connections with the brand, trust in the parent brand and, finally, the intention to purchase brand extensions. Additionally, it examines if consumers’ attachment to the parent brand increases or decreases their intention to purchase brand extensions.

Practical implications
Consumer brand nostalgia may be leveraged while introducing brand extensions into the market. What is more, managers could use brand attachment to enhance the impact of brand nostalgia for favourable brand expansion assessments.

Originality/value
To the best of the authors’ knowledge, this is the first research to examine the influence of brand nostalgia and self-brand connections on the intention to purchase brand extensions. Besides, it tests the moderating impact of brand attachment on the relationship between brand nostalgia and intention to purchase brand extensions.
Directional predictability between trading volume and price returns in the agricultural futures markets: risk implications for traders
Authors: Panagiotou Dimitrios , Tseriki Alkistis 
Published: February 2022

PurposeThe cross-quantilogram analysis is employed. The latter can assess the temporal association between two stationary time series at different parts of their joint distribution. Data are daily prices and trading volumes from the futures markets of five agricultural commodities, namely, corn, hard red wheat, oats, rice and soybeans.Design/methodology/approachThe objective to the present work is to investigate for directional predictability between returns and volume (and vice versa) in the futures markets of agricultural commodities.FindingsThe empirical results reveal evidence, weak as well as strong, that extreme low values of returns are likely to lead high levels of volume. There is also weak evidence that extreme low values of volume are likely to precede high values of returns, except for the futures markets of oats where there is very strong evidence that low values of volume are likely to lead high values of returns. For the commodity of soybeans, there is very strong evidence that extreme high levels of volume are likely to lead high values of returns, but they are very short lived.Research limitations/implicationsAgricultural futures have been recently characterized by increased volatility leading hedgers to be looking for diversification. The present findings suggest that when price crashes occur, investors who suffer losses wish to sell, increasing this way the trading activity. Concurrently, the results reveal that extreme low levels of trading volume might signal a possible price turn around for traders.Originality/valueThis is the first study that employs the quantilogram approach in order to investigate for potential predictability from returns to volume and from volume to returns, in the futures markets of agricultural commodities.
“I will buy what my ‘friend’ recommends”: the effects of parasocial relationships, influencer credibility and self-esteem on purchase intentions
Authors: Bi Nicky Chang , Zhang Ruonan 
Published: February 2022

PurposeInfluencer marketing is a newer interactive marketing model that has attracted the attention of scholars and marketers. The study aimed to examine the mediation role of influencer credibility (IC) and the moderation role of self-esteem in the effects of individuals' parasocial relationships (PSR) with YouTube influencers on their product attitudes (PATs) and purchase intentions (PIs).Design/methodology/approachThe researchers used an online survey to test a sequential mediation model and moderation mediation models using Hayes PROCESS modeling.FindingsThe researchers revealed a sequential mediation model that IC and PAT mediate the association between PSR and PI. Individuals who perceived IC to be low were more likely to buy an endorsed product when their self-esteem got lower. When their self-esteem is low, individuals tend to purchase the endorsed products if they have stronger PSR with the influencers. However, they are less likely to buy the endorsed products when their self-esteem gets higher.Originality/valueThe study expands the dimensions of IC. The persuasive power of IC and influencer-user relationship was affected by individual differences, namely, self-esteem. Brands should pay attention to customers' personalities, motivations and preferences when designing strategies to market their products via social media.
Competitive intensity: bridging the gap between corporate social responsibility and competitive advantage
Authors: Rasheed Burhan , Ahmad Muhammad 
Published: February 2022

PurposeThe concept of corporate social responsibility (CSR) is still at a growing stage in developing economies, so this research aims to examine a novel causal link between CSR (disclosure and expenditure) and competitive advantage (CA), by including competitive intensity (CI) as a moderator.Design/methodology/approachThe panel data of non-financial firms were collected for eight years (2013–2020). This study used distinct proxies of CA, including adjusted firm return on assets and adjusted firm Tobin's q, and a third proxy used to discover the combined validity of the findings. The CSR disclosure was measured by developing an index, while the amount of CSR expenditure was collected from firms' annual reports.FindingsThe empirical results of Arellano–Bond estimator showed that CSR disclosure and expenditure have a positive and significant impact on CA. This relationship is also tested with CI as a moderator, the results of moderation showed that CI strengthens the relationship between studied variables.Originality/valueThis research tries to bridge the gap between CSR and CA through CI. It is also an addition to the existing literature by addressing the issue of CA generated from CSR activities. This study also explores the area of CA with three different types of proxies with the moderating effect of CI.
The association of body image, percent body fat, nutrient intake, physical activity among adolescent
Authors: Gifari Nazhif , Sitoayu Laras , Nuzrina Rachmanida , Ronitawati Putri , Kuswari Mury , Prasetyo Teguh Jati 
Published: February 2022

PurposeObesity in adolescents has been a severe public health problem in developing countries in recent years. This study aims to assess the differences in socioeconomic, nutrition knowledge, breakfast habits, body image, physical activity, smoking, total sleep quality and nutrient intake between obese and non-obese adolescents.Design/methodology/approachThis cross-sectional study with 2,432 adolescents (16–18 years) was conducted at senior high schools in DKI Jakarta from January to November 2019. Body image, percent body fat, nutrition intake and physical activity variables were collected.FindingsThis study found that more than 30% of adolescents in DKI Jakarta were overweight and obese. Overall, adolescents have a 56.3% positive body image, participate in moderate-intensity physical activity (49.02%), and smoke was found at a rate of 6.9%. The average total sleep quality was 71.3% fair and nutrient intakes 1599 ± 413 calories. The findings suggest that monthly income (p= 0.001,p= 0.016), energy intake (p= 0.005,p= 0.019) and total sleep quality (p= 0.008,p= 0.04) variables were consistently associated with nutritional status and percent body fat. Moreover, the body image perception (p= 0.035) variable had a negative correlation with nutritional status, and the smoking habits variable (p= 0.001) had a negative correlation with percent body fat.Originality/valueThis study provides empirical evidence that establishes the association between monthly income, energy intake, total sleep quality with nutritional status and body fat percentage in adolescents.
Stock reactions of the S&P500 industries to negative and positive COVID-19 news
Authors: Alhenawi Yasser , Elkhal Khaled , Li Zhe 
Published: February 2022

Purpose
This paper aims to use the Covid-19 pandemic situation to conduct an experiment-like study that focuses on industry reactions under stress. Particularly, this study analyzes stock response to eight pandemic related news in 2020 across different industries. This study also investigates the role that the market risk, beta, plays in such stock reactions.

Design/methodology/approach
This study computes the cumulative abnormal returns (CAR) around COVID-19 events using adjusted daily stock returns of all stocks in the S&P 500 index between January 2, 2020 and December 31, 2020. This study also sorts all stocks by beta into quintiles and measures the CAR [0, +3] for each quintile around each event date.

Findings
This study finds that low beta portfolios exhibit greater abnormal returns (in absolute value) than high beta portfolios during down markets while high beta portfolios exhibit greater abnormal returns (in absolute values) when the market starts to recover. However, this study finds that beta does not seem to explain the abnormal returns reported in various industries during times of negative sentiment. During times of positive sentiment, both the beta effect and industry effect are present.

Originality/value
Extant literature almost unanimously concurs that the COVID-19 pandemic has brought about negative stock reactions to financial markets across the globe. Nevertheless, three interrelated issues have not been explored: market reactions during the subsequent recovery, industry heterogeneity and individual stocks’ risk profile. The study addresses these matters.
Seasonal progression and differences in major floral resource use by bees and hoverflies in a diverse horticultural and agricultural landscape revealed by DNA metabarcoding
Authors: Lowe Abigail , Jones Laura , Brennan Georgina , Creer Simon , de Vere Natasha 
Published: February 2022

Abstract

Gardens are important habitats for pollinators, providing floral resources and nesting sites. There are high levels of public support for growing ‘pollinator‐friendly’ plants but while plant recommendation lists are available, they are usually inconsistent, poorly supported by scientific research and target a narrow group of pollinators. In order to supply the most appropriate resources, there is a clear need to understand foraging preferences, for a range of pollinators, across the season within horticultural landscapes.

Using an innovative DNA metabarcoding approach, we investigated foraging preferences of four groups of pollinators in a large and diverse, horticultural and agricultural landscape, across the flowering season and over 2 years, significantly improving on the spatial and temporal scale that can be achieved using observational studies.

Bumblebees, honeybees, non‐corbiculate bees and hoverflies visited 191 plant taxa. Overall floral resources were shared between the different types of pollinators, but significant differences were seen between the plants used most abundantly by bees (Hymenoptera) and hoverflies (Diptera).

Floral resource use by pollinators is strongly associated with seasonal changes in flowering plants, with pollinators relying on dominant plants found within each season, with preferences consistent across both years.

The plants identified were categorised according to their native status to investigate the value of native and non‐native plants. The majority of floral resources used were of native and near‐native origin, but the proportion of horticultural and naturalised plants increased during late summer and autumn.

Synthesis and applications. Plant recommendation lists for pollinators should distinguish between bees and hoverflies and provide evidence‐based floral recommendations throughout the year that include native as well as non‐native plants for use in the United Kingdom and Northern Europe. Specific management recommendations include reducing mowing to encourage plants such as dandelion Taraxacum officinale and buttercups Ranunculus spp., and reducing scrub management to encourage bramble Rubus fruticosus.
Soil conditions drive below‐ground trait space in temperate agricultural grasslands
Authors: Lachaise Tom , Bergmann Joana , Hölzel Norbert , Klaus Valentin H. , Kleinebecker Till , Rillig Matthias C. , van Kleunen Mark 
Published: February 2022

Abstract

Plant below‐ground organs perform essential functions, including water and nutrient uptake, anchorage, vegetative reproduction and recruitment of mutualistic soil microbiota. Recently, multivariate analyses showed that root traits of species can largely be linked to a ‘conservation’ and a ‘collaboration’ gradient. Here, we tested whether this species‐level bidimensional below‐ground trait space also exists at the community level in grasslands. Furthermore, we tested whether the position of grassland communities in below‐ground trait space relates to environmental variables.

For a total of 313 species, we collected data on eight below‐ground traits in greenhouse and common garden experiments and supplemented it with data on bud‐bank size and specific leaf area from databases. We calculated community weighted means (CWMs) of these 10 traits for 150 temperate grassland plots to investigate below‐ground plant‐trait dimensionality and its variation along 10 soil and land‐use parameters.

Using PCA, we found that about 55% of variance in CWMs was explained by two main dimensions, corresponding to a mycorrhizal ‘collaboration’ and a resource ‘conservation’ gradient. Frequently overlooked traits such as rooting depth, bud‐bank size and root‐branching intensity were largely integrated in this trait space. The two plant‐strategy gradients were partially dependent on each other, with communities that do ‘outsourcing’ of resource uptake to mycorrhizal fungi along the collaboration gradient also being more ‘slow’ along the conservation gradient. (i.e. high root tissue density and high root weight ratio). ‘Outsourcing’ communities were also more often deep rooting and associated with soil parameters, such as low moisture and sand content, high topsoil pH, high C:N and low δ15N. ‘Slow’ communities had large bud banks and were associated with low land‐use intensity, high topsoil pH and low nitrate but high ammonium concentration in the soil. Surprisingly, we did not find an association of phosphorus availability with the mycorrhizal ‘collaboration’ gradient.

Synthesis. The ‘collaboration’ and ‘conservation’ gradients previously identified among species scale up to the community level in grasslands, encompass more traits than previously described, and vary with the environment.
Effects of pulsed light on germination and gamma‐aminobutyric acid synthesis in brown rice
Authors: Zhang Liangchen , Du Linchun , Shi Taiyuan , Xie Mengxi , Liu Xiaojing , Yu Miao 
Published: February 2022

AbstractThis study observed the effects of pulsed light (PL) on the germination and gamma‐aminobutyric acid (GABA) production of brown rice and analyzed the correlations among glutamic acid (Glu) content, glutamate decarboxylase (GAD) activity, and GABA content in germinating brown rice. Both germination and GABA content were increased by exposure to PL, and this effect was evident when brown rice was exposed to PL immediately after being soaked. The PL group had significantly higher Glu and GABA content than the control check (CK) group which was unexposed to PL during the germination of brown rice. Glu content peaked at 18 h and GABA peaked at 24h in the PL group, which were 12 h and 6 h earlier than the CK group, respectively. GAD activity of the PL group peaked 12 h after germination, 6 h earlier than the CK group. PL exposure also increased the free amino acid content in the earliest stage of brown‐rice germination. During brown‐rice germination, the production of GABA is regulated by GAD activity and is significantly positively correlated with Glu content. PL treatment had a significant effect on GAD activity and Glu content during the germination process of brown rice and helped to increase its GABA content.Practical ApplicationThis study has shown that pulsed light exposure is an efficient and stable processing method for producing brown rice with high GABA. This will provide a new direction for developing novel germination grain foods.
How contextual and individual characteristics influence psychological needs satisfaction: The critical roles of political skill and political will
Authors: Ejaz Aqsa , Maher Liam P. , Lacaze Delphine , Quratulain Samina , Ferris Gerald R. 
Published: February 2022

AbstractThis two‐study research package investigates the interactive effects of perceptions of organizational politics, political skill, and political will on psychological need satisfaction, which has been shown to predict a number of different important organizational outcomes. Drawing primarily on social/political influence and self‐determination theories, we propose that although perceptions of organizational politics (i.e., as an important situational or contextual variable) can demonstrate need‐thwarting effects for some, its effects can be need‐satisfying for those individuals with high levels of political skill and political will. In Study 1, we analyze a sample of 142 individuals to demonstrate that possessing political skill attenuates the negative effects of perceptions of organizational politics on psychological need satisfaction. In Study 2, we analyze a sample of 420 individuals to demonstrate that respondents with high levels of both political skill and political will experience their highest levels of need satisfaction in highly political environments. Theoretical contributions, limitations and future research directions, and practical implications are discussed.