bluuebunny/crossref_metadata_2025_split huggingface dataset:
Government strategies for supporting the adult worker model in European countries: mixed implications for defamilisation
Authors: Yu Wai Kam , Lo Iris Po Yee , Chau Chui Man 
Published: March 2021

PurposeThis article explores the link between defamilisation studies and studies of the adult worker model and discusses the mixed implications that government strategies for supporting the adult worker model have for defamilisation. The adult worker model emphasises that all adult men and women ought to engage in formal employment; defamilisation studies stress the importance of enhancing women's chances of choosing (not) to perform important family roles such as the receiver of financial support and the care provider.Design/methodology/approachTwo new strategies (“condition building” and “rewarding/penalising”) for promoting the adult worker model are identified based on literature review; their empirical significance is explored through an examination of comparative data concerning early childhood education and care policies (ECEC) and reforms in pension age in 14 countries.FindingsThe evidence shows that promoting the adult worker model does not necessarily benefit all women. While the 14 countries provide ECEC to varying extents, the increase in pension age in most countries shows that governments adopt a “rewarding/penalising” strategy for promoting the adult worker model by allocating major welfare based on people's labour force participation. These pension reforms may generate a negative impact on women's chances of attaining financial autonomy.Originality/valueThis study presents two new strategies for promoting the adult worker model and shows the empirical significance of these strategies based on comparative data. It also highlights the importance of searching for alternative concepts, namely economic defamilisation, for guiding pension reforms.
How does business analytics contribute to organisational performance and business value? A resource-based view
Authors: Chatterjee Sheshadri , Rana Nripendra P. , Dwivedi Yogesh K. 
Published: March 2021

PurposeThe purpose of this article is to identify how the organisations are able to improve their business value through acquisition of business analytics capabilities and by improving their performance.Design/methodology/approachWith the help of literature survey, along with standard resource-based view framework, a conceptual model has been developed. These have been statistically tested by collecting the data using the survey questionnaire from 306 selected respondents from various service sector- and product-based organisations in India. To analyse the data we have used partial least square–based structural equation modelling.FindingsThe study highlights that by the help of data acquisition and tool acquisition as two vital components the acquisition of business analytics capabilities could improve the business value of the organisation by strengthening its organisational performance. The findings of this research also indicated that acquisition of business analytics capabilities has a significant influence on an organisation's business process performance and business decision, which in turn significantly influences organisational performance. And organisational performance eventually positively influences its business value. The model was found to provide an explanative power of 71%.Research limitations/implicationsThe proposed research model can provide effective recommendations to the management of the organisations to realise the importance of acquisition of effective business analytics capabilities to eventually improve the business value of the organisation.Originality/valueNo specific studies, as yet, have analysed the effects of acquisition of business analytics capabilities for improving organisational performance mediated through business process performance and business decision. Therefore, this research has explored the distinctive effort to empirically validate this understanding.
Library stories: a systematic review of narrative aspects within and around libraries
Authors: Frandsen Tove Faber , Sørensen Kristian Møhler , Anne Lyngroes Fladmose 
Published: March 2021

PurposeLibraries are increasingly trying to communicate the library's contributions and telling the library stories. Stories can be a component of impact assessment and thus add nuance to an assessment. Evaluations of libraries can include collecting and presenting stories of change, which can serve as evidence in impact assessments. The narrative field allows for many different approaches to a narrative perspective in the study of libraries, but the existing literature provides little overview of these studies. The purpose of this study is to introduce the narrative field and present a systematic review of the existing studies of libraries that use narrative approaches.Design/methodology/approachThe methods in this study comprise of a systematic review of publications reporting narrative approaches to studying libraries. To retrieve the relevant studies, Library and Information Science Abstracts, Scopus, Web of Science and Proquest Dissertation were searched. Furthermore, the authors examined reference lists and performed citation searches. Study selection was performed by two reviewers independently. Using designed templates, data from the included studies were extracted by one author and confirmed by another.FindingsThe database searches retrieved 2,096 records across the four databases which were screened in two steps, resulting in 35 included studies. The authors identify studies that introduce narrative enquiries in library studies as well as studies using narrative approaches to the study of libraries.Originality/valueExploring narratives and stories for understanding and evaluating the library's worth is a promising field. More work is needed, though, to develop theoretical and methodological frameworks. Several of the included studies can serve as examples of the potential of a narrative perspective in the study of libraries.
Virtual reality classroom simulations: how school leaders improve instructional leadership capacity
Authors: Militello Matthew , Tredway Lynda , Hodgkins Lawrence , Simon Ken 
Published: March 2021

PurposeThe purpose of this study was to explore the utility of a virtual reality (VR) classroom experience for improving the capacity of instructional leaders. Specifically, school leaders used VR to build their classroom observation and analysis skills to prepare to have more effective post-observation conversations with teachers. The authors provide insights from multiple data points that highlight the affordances of the virtual setting for improving classroom observation skills.Design/methodology/approachDrawing on the application of simulations to practice classroom observations, the authors developed a VR experience in which participants tag observable elements of academic discourse using codes from two observation protocols. The protocols identify elements of equitable student access: how teachers call on students and how they design questions. Seventy-five school leaders used the VR platform to observe a classroom scenario and code evidence of equitable classroom access. The authors analyzed data from tagging in the virtual reality scenario and triangulated these data with survey data focused on observation practices from participants' schools. A reflection component is included on the platform to collect these qualitative data.FindingsThe study results indicate that the virtual reality platform provides an innovative process for leadership professional development focused on building school leaders' capacity to identify elements of academic discourse during classroom observations. Participants reported that the opportunity to practice classroom observations in a risk-free environment was useful. However, for school leaders to fully transfer the data to using in conversations with teachers, they benefit from leadership coaching.Originality/valueThis study ascertains the potential effectiveness of an advanced technology for enhancing instructional leadership by using evidence-based classrooms observations to drive improvements in teaching practice. Beyond the utility of the virtual reality tool, this study provides a proof of concept for the next generation of instructional leadership through teacher observations with augmented reality.
Cognition, emotion and action: persistent sources of parent–offspring paradoxes in the family business
Authors: Cunha Miguel Pina e , Soares Leitão Maria João , Clegg Stewart , Hernández-Linares Remedios , Moasa Horia , Randerson Kathleen , Rego Arménio 
Published: March 2021

PurposeThe purpose of the study is to explore inductively the unique paradoxical tensions central to family business (FB) and to analyze how FB's members face these tensions and their implications in the personal and professional realms.Design/methodology/approachA multiple-case study with 11 parent–offspring dyads from Portuguese FBs was conducted putting the focus on the micro-level interactions.FindingsThe slopes of roles and relationality in FBs produces three persistent sets of tensions around cognition, emotion and action. These tensions exist in a paradoxical state, containing potentiality for synergy or trade-off.Originality/valueOur study is the first to empirically demonstrate that paradoxical tensions between parent and offspring are interrelated, by emphasizing the uniqueness of FB as a paradoxical setting and offering insights to negotiating of these singular paradoxes.
FDI inflow and financial channels: international evidence before and after crises
Authors: Izadi Selma , Rashid Mamunur , Izadi Parviz 
Published: March 2021

Purpose
Extending on the resource-seeking foreign direct investment (FDI) hypothesis, this paper aims to uncover the potential relationship between financial and non-financial channels and inward FDI before and after the global financial crisis.

Design/methodology/approach
The sample includes 561 year-country observations on 33 developed and developing countries during 2001 and 2017. This study investigates several determinants such as inflation, gross domestic product growth, exchange rate, trade openness, financial openness, Sharpe ratio and country market capitalization, using ordinary least squares, fixed effects and system generalized method of moments.

Findings
The results indicate a negative relationship between inflation and financial openness with FDI inflow while market capitalization and exchange rate were positively connected to FDI inflow. All three financial channels of FDI inflow: financial market size, financial openness and Sharpe ratio significantly influenced FDI inflow. Moreover, inflation, financial openness and Sharpe ratio imply a meaningful impact on the FDI inflow of developed and developing countries, with a relatively stronger influence during the post-crisis periods. Asymmetric impact tests also revealed similar results.

Research limitations/implications
These findings offer an impression that financial market development channels may significantly boost FDIs in developing and, as well as developed countries. With special reference to the developing countries, a disciplined financial market and financial openness may help attract more FDIs.

Originality/value
Impact of the financial crisis on FDI inflows while observing the impact of the financing channels in developing and developed countries is rare in the academic domain. This study forwards that a structured and open financial market may help in recovering from the financial crisis.
Firm innovation and access to finance: firm-level evidence from India
Authors: Kaur Parneet , Kaur Navneet , Kanojia Paras 
Published: March 2021

Purpose
Based on 9,281 firm-level survey data on micro, small and medium enterprises (MSMEs) in India, this study aims to investigate how access to different finance sources and collateral requirement facilitates the firm’s innovation activity across industries.

Design/methodology/approach
This paper used ordered logit regression models using Stata software for explanatory variables to measure the impact of explanatory variables on firm innovation performance. Firms’ innovation performance is measured through the aggregate innovation index obtained by adding up the no. of “new-to-firm” activities.

Findings
The empirical results reveal that external sources of funding impact innovation activity than other financing sources. Also, the requirement of collateral for financing impacts innovation performance significantly. This paper finds that firms funded by state-owned banks or government agency are more actively engaged in innovation activities. The firm’s size, ownership structure and location of the firm also show the varying innovation performance. This paper found variation in innovation performance across industries as well.

Practical implications
First, the present study underlines the significance of funding sources. Second, minimizing the need for collateral to obtain external finance boosts small firms’ innovation activity and will also trigger overall economic growth. Finally, while making policies for ownership transformation of state-owned institutions, policymakers should discuss these policies’ impact on innovative firms.

Originality/value
What facilitates innovation performance in an emerging market is missing in the literature for MSMEs, largely due to lack of data. It is reasonable not to generalize innovation knowledge in large firms to small firms because of the constraints, particularly MSMEs face.
Prediction of new prescription requirements for diabetes patients using big data technologies
Authors: Bakırarar Batuhan , Yüksel Cemil , Yavuz Yasemin 
Published: March 2021

PurposeThe study aimed to evaluate the effectiveness of using large data sets for new diabetes patient prescriptions.Design/methodology/approachThis study consisted of 101,766 individuals, who had applied to the hospital with a diabetes diagnosis and were hospitalized for 1–14 days and subjected to laboratory tests and medication.FindingsWith the help of Mahout and Scala, data mining methods of random forest and multilayer perceptron were used. Accuracy rates of these methods were found to be 0.879 and 0.849 for Mahout and 0.849 and 0.870 for Scala.Originality/valueThe mahout random forest method provided a better prediction of new prescription requirements than the other methods according to accuracy criteria.
The unknown knowns: a graph-based approach for temporal COVID-19 literature mining
Authors: Bayram Ulya , Roy Runia , Assalil Aqil , BenHiba Lamia 
Published: March 2021

PurposeThe COVID-19 pandemic has sparked a remarkable volume of research literature, and scientists are increasingly in need of intelligent tools to cut through the noise and uncover relevant research directions. As a response, the authors propose a novel framework. In this framework, the authors develop a novel weighted semantic graph model to compress the research studies efficiently. Also, the authors present two analyses on this graph to propose alternative ways to uncover additional aspects of COVID-19 research.Design/methodology/approachThe authors construct the semantic graph using state-of-the-art natural language processing (NLP) techniques on COVID-19 publication texts (>100,000 texts). Next, the authors conduct an evolutionary analysis to capture the changes in COVID-19 research across time. Finally, the authors apply a link prediction study to detect novel COVID-19 research directions that are so far undiscovered.FindingsFindings reveal the success of the semantic graph in capturing scientific knowledge and its evolution. Meanwhile, the prediction experiments provide 79% accuracy on returning intelligible links, showing the reliability of the methods for predicting novel connections that could help scientists discover potential new directions.Originality/valueTo the authors’ knowledge, this is the first study to propose a holistic framework that includes encoding the scientific knowledge in a semantic graph, demonstrates an evolutionary examination of past and ongoing research and offers scientists with tools to generate new hypotheses and research directions through predictive modeling and deep machine learning techniques.
Can the concept of “lean management” be applied to academic recruitment? – a quasi-theoretical discourse
Authors: Benuyenah Vic 
Published: March 2021

Purpose
This paper seeks to emphasise the need to re-evaluate university teacher recruitment processes. The implementation of lean processes helps to improve organisational practices; in the case of university recruitment, however, organisational processes have remained unchanged for decades. Although there is a traditional justification for having academic recruitment as a rigorous and complex process (as a practiced method by which to identify the most suitable applicants), the increase of competition across the sector, and the internet revolution, has rendered these older methods partially ineffective. The author argues that recruitment systems and practices need reviewing to overhaul inefficacious elements.

Design/methodology/approach
This is a quasi-literature discourse combined with the author’s experience in human resources management teaching and recruitment expertise at the Higher Education level.

Findings
Lean approach if successfully introduced to academic recruitment might reduce the effect of discouraged job seekers paradox and workload on human resources (HR) officers.

Research limitations/implications
The volume of studies reviewed is limited, and therefore, more empirical findings are required in the area of lean recruitment.

Practical implications
HR departments of universities might consider practices that will improve the recruitment process and promote labour force participation.

Originality/value
According to the author’s knowledge, lean concept has been applied to HR (recruitment) for the first time in this study.
Herding in the crypto market: a diagnosis of heavy distribution tails
Authors: Shrotryia Vijay Kumar , Kalra Himanshi 
Published: March 2021

PurposeWith the unprecedented growth of digitalization across the globe, a new asset class, that is cryptocurrency, has emerged to attract investors of all stripe. The novelty of this newly emerged asset class has led researchers to gauge anomalous trade patterns and behavioural fallacies in the crypto market. Therefore, the present study aims to examine the herd behaviour in a newly evolved cryptocurrency market during normal, skewed, Bitcoin bubble and COVID-19 phases. It, then, investigates the significance of Bitcoin in driving herding bias in the market. Finally, the study gauges herding contagion between the crypto market and stock markets.Design/methodology/approachThe study employs daily closing prices of cryptocurrencies and relevant stocks of S&P 500 (USA), S&P BSE Sensex (Index) and MERVAL (Argentina) indices for a period spanning from June 2015 to May 2020. Quantile regression specifications of Chang et al.’s (2000) absolute deviation method have been used to locate herding bias. Dummy regression models have also been deployed to examine herd activity during skewed, crises and COVID-19 phases.FindingsThe descriptive statistics reveal that the relevant distributions are leptokurtic, justifying the selection of quantile regression to diagnose tails for herding bias. The empirical results provide robust evidence of crypto herd activity during normal, bullish and high volatility periods. Next, the authors find that the assumptions of traditional financial doctrines hold during the Bitcoin bubble. Further, the study reveals that the recent outbreak of COVID-19 subjects the crypto market to herding activity at quantile (t) = 0.60. Finally, no contagion is observed between cryptocurrency and stock market herding.Practical implicationsDrawing on the empirical findings, it is believed that in this age of digitalization and technological escalation, this new asset class can offer diversification benefits to the investors. Also, the crypto market seems quite immune to behavioural idiosyncrasies during turbulence. This may relieve regulators of the possible instability this market may pose to the entire financial system.Originality/valueThe present study appears to be the first attempt to diagnose leptokurtic tails of relevant distribution for crypto herding in the wake of two remarkable events: the crypto asset bubble (2016–2017) and the outbreak of coronavirus (early 2020).
Wireless passive surface acoustic wave (SAW) technology in gas sensing
Authors: Pan Yong , Molin Qin , Guo Tengxiao , Zhang Lin , Cao Bingqing , Yang Junchao , Wang Wen , Xue Xufeng 
Published: March 2021

Purpose
This paper aims to give an overview about the state of wireless passive surface acoustic wave (SAW) gas sensor used in the detection of chemical vapor. It also discusses a variety of different architectures including delay line and array sensor for gas detection, and it is considered that this technology has a good application prospect.

Design/methodology/approach
The authors state the most of the wireless passive SAW methods used in gas sensing, such as CO2, CO, CH4, C2H4, NH3, NO2, et al., the sensor principles, design procedures and technological issues are discussed in detail; their advantages and disadvantages are also summarized. In conclusion, it gives a prospect of wireless passive SAW sensor applications and proposes the future research field might lie in the studying of many kinds of harmful gases.

Findings
In this paper, the authors will try to cover most of the important methods used in gas sensing and their recent developments. Although wireless passive SAW sensors have been used successfully in harsh environments for the monitoring of temperature or pressure, the using in chemical gases are seldom reported. This review paper gives a survey of the present state of wireless passive SAW sensor in gas detection and suggests new and exciting perspectives of wireless passive SAW gas sensor technology.

Research limitations/implications
The authors will review most of the methods used in wireless passive SAW sensor and discuss the current research status and development trend; the potential application in future is also forecasted.

Originality/value
The authors will review most of the methods used in wireless passive SAW sensor and discuss the current research status and development trend; the potential application in future is also forecasted.