bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of ASQE-based learning on the information literacy, problem-solving and critical thinking of students with different growth mindsets
Authors: Liu Chenchen , Lai ChiuLin , Hwang Gwo-Jen , Tu Yun-Fang 
Published: April 2022

Purpose
This study aims to investigate the information literacy (IL) performance and higher order thinking skills of students with different levels of growth mindset and their perceptions of library-supported learning by using the annotate, summarize, question and evaluate (ASQE)-based learning approach.

Design/methodology/approach
In this study, the ASQE-based learning approach was applied to the learning activities to cultivate students’ IL, problem-solving awareness and critical thinking tendency. A total of 60 postgraduate students were invited to participate in this study. In addition, students’ perceptions of library-supported learning were analysed via drawing analysis.

Findings
Introducing ASQE-based learning into an IL learning activity promoted reflection and thought and had positive effects on students’ problem-solving awareness and on the critical thinking tendency of students with different levels of growth mindset. Additionally, the drawing analysis indicated that most of the students with low levels of growth mindset believed that learners should actively study in the library and students with higher levels of growth mindset preferred more motivating and enjoyable learning environments.

Originality/value
The findings of this study demonstrate that the ASQE-based learning approach can improve higher order thinking skills of students with different levels of growth mindset. In addition, this study examined the perceptions of students with different levels of growth mindset of library-supported learning via drawing analysis.
Health technology assessment processes: a North-South comparison of the evaluation and recommendation of health technologies in Canada and Chile
Authors: Mansilla Cristián , Kuhn-Barrientos Lucy , Celedón Natalia , de Feria Rafael , Abelson Julia 
Published: April 2022

PurposeHealth systems are progressively stressed by health spending, which is partially explained by the increase in the cost of health technologies. Countries have defined processes to prioritize interventions to be covered. This study aims to compare for the first time health technology assessment (HTA) processes in Canada and Chile, to explain the factors driving these decisions.Design/methodology/approachThis is a health policy analysis comparing HTA processes in Canada and Chile. An analysis of publicly available documents in Canada (for CADTH) and Chile (for the Ministry of Health (MoH)) was carried out. A recognized political science framework (the 3-I framework) was used to explain the similarities and differences in both countries. The comparison of processes was disaggregated into eligibility and evaluation processes.FindingsCADTH has different programmes for different types of drugs (with two separate expert committees), whereas the MoH has a unified process. Although CADTH’s recommendations have a federal scope, the final coverage is a provincial decision. In Chile, the recommendation has a national scope. In both cases, past recommendations influence the scope of the evaluation. Pharmaceutical companies and patient associations are important interest groups in both countries. Whereas manufacturers and tumour groups are able to submit applications to CADTH, the Chilean MoH prioritizes applications submitted by patient associations.Originality/valueInstitutions, interests and ideas play important roles in driving HTA decisions in Canada and Chile, which is demonstrated in this novel analysis. This paper provides a unique comparison to highly relevant policy processes in HTA, which is often a research area dominated by effectiveness and cost-effectiveness studies.
Subject competency framework in fostering high-end lesson study – a case of teaching “properties of iron salts” unit in a senior high school
Authors: Wang Lei , Wang Quan , Kong Simin , Hu Jiuhua , Chen Xiaoge 
Published: April 2022

PurposeThis study aims to present a high-end lesson study (HELS) model to develop students' subject competency. Data were collected from a Beijing suburban key senior high school in China. How the subject competency framework (SCF) supports HELS and develops students' subject competency in practice are discussed in this study.Design/methodology/approachThis study provides a four-dimensional SCF developed by the chemistry education research team at Beijing Normal University. Basic procedures of the HELS model involve the project plan, students' pre-test, lesson design workshop, first-round teaching implementation and improvement, second-round teaching implementation and evaluation, students' post-test, and results discussion. Data were collected from each of the procedures, and analysis of the data is conducted in both qualitative and quantitative approaches.FindingsThe results show that the SCF supports HELS implementation by (1) identifying key teaching objectives based on curriculum standard requirements and students' subject competency performance; (2) organizing teaching content based on the core knowledge to develop cognitive mode; (3) designing tasks and activities regarding understanding–applying–transferring and innovating categories and sub-categories of SCF; (4) establishing students' cognitive perspectives and reasoning paths to promote their subject competency by teacher–student interaction.Originality/valueThe HELS model provides theory-based pedagogical guidance for conducting lesson studies. It presents the SCF and orientation. The SCF is used throughout the entire process of HELS, including the identification of teaching objectives, the selection and organization of teaching content, and the design and implementation of teaching activities. It reflects a systematic instructional design–implementation–discussion–improvement–evaluation process. The SCF-based HELS can be applied to different topics and disciplines.
Six sigma DMAIC approach based mobile application for statistical analysis of COVID-19 data
Authors: Nagarajaiah Kavyashree , Maganahalli Chandramouli Supriya , Malavalli Ramakrishna Lokesh 
Published: April 2022

Purpose
Coronavirus disease 2019 is one of the novel diseases formed by a dreadful virus called Severe Acute Respiratory Syndrome Coronavirus 2. Various countries are affected by this viral disease, and many countries declare a lockdown with several rules and conditions. To prevent this rapid viral transmission, various researchers have introduced different mobile applications. This paper aims to study issues like viral transmission, mortality rates, vaccination rates, etc. and also provides suitable solutions based on the statistical analysis with the assistance of the Six-Sigma Define-Measure-Analyse-Improve-Control (DMAIC) concept.

Design/methodology/approach
Statistical analysis is done for different countries, and the required solutions are provided by using the DMAIC procedure. This application has the ability to represent the current risk status of the user and notify them to secure themselves.

Findings
The proposed work suggests the Aarogya Setu application to prevent large viral transmission by affording many preventive measures. This application also issues the current risk status of each individual user. Hence, it gives improved results in avoiding high viral transmission.

Originality/value
The proposed six-sigma DMAIC concept also affords the control measures to prevent viral transmission. Hence, the suggested application has the highest chance of avoiding the rapid viral transmission.
Transformational leadership and radical innovation for sustainability: mediating role of knowledge management capability and moderating role of competitive intensity
Authors: Nabi Md. Nurun , Zhiqiang Liu , Akter Marium 
Published: April 2022

PurposeDrawing on the transformational leadership (TL) and knowledge-based view (KBV) theory, the present study investigates the impact of TL on radical innovation (RI) through the mediation of knowledge management capabilities (KMCs) and moderation of competitive intensity (CI) of textile and apparel industries with an Asian context.Design/methodology/approachData were collected from the relevant stakeholders of the industry-university collaboration teams with a structured survey questionnaire. Working with 304 textile and apparel industry respondents, structural equation modeling based partial least square (PLS-SEM) is used to test the conceptual framework. PLS-SEM technique was applied to test the hypothesis using Smart-PLS 3.8 packages program.FindingsThe results proposed TL has a positive impact on KMC and RI. Furthermore, the study reveals KMC positively mediated the relationship between TL and RI. This mediation is conditional on the moderating role of CI for the KMC (knowledge acquisition capability + knowledge-sharing capability) path to RI. Conversely, moderation of CI is insignificant and does not influence on fostering RI.Practical implicationsLeaders and managers have realized creative and innovative culture is built within the organizations by leader-follower collaboration through actual knowledge acquisition and knowledge sharing. Moreover, industry policymakers and practitioners establish the knowledge management department to enhance the innovation culture among the firms' stakeholders to encourage RI to sustain the global business market.Originality/valueThe study has introduced KMC as a mediator and CI as a moderator in the proposed model between TL-RI and KMC-RI. Further, it explores the linkages between TL, KMC, CI and RI.
Contrivance interrelated building components and defects factors: qualitative survey approach on government buildings
Authors: Talib Roslan , Sulieman Mohd Zailan 
Published: April 2022

Purpose
The purpose of this paper is to identify the key aspects of building defects performance cases in relation to the building components focusing on the government-owned buildings and to enhance government’s role to curb the building defects to reoccur.

Design/methodology/approach
The qualitative research method approach was adopted with a total of 5,243 specific building defects identified and accumulated from actual building projects and provided feedback on the defects associated with the Government of Malaysia’s owned buildings.

Findings
This paper statistically validates that building defects are a staid delinquent matter fronting the construction industry in Malaysia. This matter needs to be tacked by all the parties involved in the industry. This paper proposes a factual statistical statement that is proved to be a practical and suitable measurement in correcting building defects and preventing them from reoccurring.

Research limitations/implications
Future research could focus on developing a defect performance measurement on real projects now focusing on private buildings as well.

Practical implications
The defects performance statistical measurement is anticipated to prove the problematic rate of defects occurrence on government-owned structures, as the key elements on the national defect preventive strategy which have to be taken into account.

Originality/value
The outcome of this paper is significant in its own right and serves as a platform for future research in this area.
Investigating the effect of carbon tax on sharing network participation
Authors: K.E.K. Vimal , Raja Sonu , Yendeti Venkata Siva Prasanth , Kancharla Amarendra , Kandasamy Jayakrishna 
Published: April 2022

Purpose
The purpose of this paper is to investigate the effect of current carbon tax (CT) policy on organizations involved in a sharing network relation.

Design/methodology/approach
For finding the CT and economic value of the industries connected in a sharing network model a multi-objective multi-integer linear model has been formulated. The data set of the case organization is used for computation. The formulated mathematical model is computed with the aid of GAMS optimization program.

Findings
This research paper demonstrates the effectiveness of the sharing network strategy in increasing the economic value and decreasing the CT for industries involved in sharing network. The CT value INR 3,012.694 for the industries in Scenario II which incorporates the sharing network is less than the CT INR 3,580.167 for industries in Scenario I without sharing network.

Research limitations/implications
The data used for the computation is based on a particular sharing network under investigation. The formulated mathematical model can be checked with similar sharing networks by varying the parameters.

Practical implications
This work can aid in gaining complete knowledge on the sharing network strategy which can uplift the resources and the monetary value of the non-efficient industries moving them towards sustainable and greener supply chain practices.

Social implications
The presented work can impact various industries in developing countries providing them with a strategy to enhance their resources and economic value by maintaining an amicable relation.

Originality/value
This work uniquely was able to validate economic feasibility and CT in accordance with the carbon footprint involved in sharing network. This sharing network also incorporates the concepts of circular economy and reverse logistics for showcasing a better strategy.
Review on volatility and return analysis including emerging developments: evidence from stock market empirics
Authors: Kashyap Sachin 
Published: April 2022

PurposeThis paper aims to analyze and give directions for advancing research in stock market volatility highlighting its features, structural breaks and emerging developments. This study offers a platform to research the benchmark studies to know the research gap and give directions for extending future research.Design/methodology/approachThe author has performed the literature review, and, reference checking as per the snowballing approach. Firstly, the author has started with outlining and simplifying the significance of the subject area, the review illustrating the various elements along with the research gaps and emphasizing the finding.FindingsThis work summarizes the studies covering the volatility, its properties and structural breaks on various aspects such as techniques applied, subareas and the markets. From the review’s analysis, no study has clarified the supremacy of any model because of the different market conditions, nature of data and methodological aspects. The outcome of this research work has delivered further magnitude to research the benchmark studies for the upcoming work on stock market volatility. This paper has also proposed the hybrid volatility models combining artificial intelligence with econometric techniques to detect noise, sudden changes and chaotic information easily.Research limitations/implicationsThe author has taken the research papers from the scholarly journal published in the English language only and the author may also consider other nonscholarly or other language journals.Originality/valueTo the best of the author’s knowledge, this research work highlights an updated and more comprehensive framework examining the properties and demonstrating the contemporary developments in the field of stock market volatility.
Determinants of merger and acquisition in the banking sector: an empirical study
Authors: Darayseh Musa , Alsharari Nizar Mohammad 
Published: April 2022

Purpose
This study aims to determine the factors affecting the merger and acquisition (M&A) process in the United Arab Emirates (UAE) banking sector. It distinguishes between internal and external factors that may motivate M&A activities in the banking sector.

Design/methodology/approach
This study adopts quantitative research and a survey strategy for data collection. A model was developed using a survey e-mailed to 500 bankers to gather data on the factors affecting the banking sector’s M&A.

Findings
This study’s findings provide strong empirical evidence for factors extracted by the factor analysis (Income, Growth, Costs, Survival, Diversifications, Security and Risk and Legal), which are important in determining the consolidation process leading to successful M&A in the banking industry. This study also contributes to the business combinations and consolidation literature by explaining the important factors in measuring the bank’s performance during the M&A process.

Research limitations/implications
Future studies could be directed in many directions. First, the authors extend the study to other GCC countries and examine whether the determinants of banks’ M&A are similar across markets. Second, the authors examine additional nonfinancial bank-specific characteristics, such as management incentives and corporate governance or additional market characteristics. Third, the authors examine the motives for acquisitions of foreign banks by UAE banks and vice versa. There may be much to learn about how acquisition motives are likely to differ.

Practical implications
The findings can help bank managers know if their banks have developed the same profile or factors similar to typical target banks. The theoretical understanding of the importance of this study in creating an environment of trust that governs the behavior of bankers for both banks will reduce the agency issue. Regarding general management, this study indicates that opportunistic behaviors could interest banks, bankers’ associations, central banks, governments, other financial authorities and policymakers. Therefore, this study paves the way for further investigation of mergers, agency theory and ethics issues. These banks’ owners, managers and regulators were also advised to consider these factors in formulating their policies and processes, given their influence on performance and their ability to manage the relationship between banks and improve the efficiency of the UAE banking sector.

Originality/value
This study provides new perspectives concerning motives leading financial institutions to M&A owing to banks’ decisions to improve their financial positions, coupled with the need to obey pressures of macro factors such as economic, legal and political systems, government and technology.
Do ETFs affect the return co-movement of their underlying assets? Evidence from an emerging market
Authors: Jhunjhunwala Shital , Sethi Aakanksha 
Published: April 2022

Purpose The objective of the present study is to examine how domestic and foreign exchange traded funds (ETFs) tracking Indian equities affect the return correlations of their underlying constituents. Further, this study investigates how these effects vary between periods of turmoil and calmness in the financial markets.Design/methodology/approach The study is based on quarterly data for stocks comprising the CNX (CRISIL NSE Indices) Nifty 50 Index from 2009Q1 to 2019Q4. The data on holdings of 45 domestic and 196 foreign ETFs in the sample stocks were obtained from Thomson Reuters’ Eikon. The paper employs a panel-regression methodology with stock and time fixed effects and robust standard errors.Findings This study documents that irrespective of the market conditions, foreign ETFs, particularly those from Asia–Pacific and European regions tend to exacerbate co-movement. Conversely, domestic ETFs lower co-movement in stable markets but during periods of turbulence a jump in return correlations is observed.Practical implications The results have important implications for ETF investors as well as market regulators because an increase in co-movement would reduce the diversification benefits of ETFs, thereby nullifying the biggest advantage that ETFs have to offer.Originality/valueThe literature on the economic impact of ETFs is highly skewed with the majority of the studies focusing on developed markets. To the best of the authors’ knowledge, this study is the first one to empirically examine the impact of ETFs on the return co-movement of an emerging market. Furthermore, the study is unique as the authors investigate how the effects of ETFs vary in turbulent and tranquil markets.
Winds of change? Academics’ views on the introduction of quality management in Kazakhstan
Authors: Manarbek Gulden , Seyfried Markus 
Published: April 2022

Purpose
Academics’ perceptions of the motives of the introduction of quality management are still rarely investigated, particularly in Central Asian countries. Thus, this paper aims to understand the internal dynamics of organisational change within higher education institutions.

Design/methodology/approach
The paper presents evidence from an online survey of academics from three Kazakh national universities. Their perceptions are presented with a quantitative descriptive approach using means and standard deviations.

Findings
The results show that academics perceive institutional (e.g. regulations, professional standards, existing norms, etc.) and instrumental explanations (e.g. institutional learning, improvement, intra- and inter-organisational competition, etc.) of the introduction of quality management as equally important. This contradicts existing evidence from surveys of other groups within higher education institutions.

Originality/value
In addition to evaluating the literature, the paper combines institutional and instrumental reasons for the introduction of quality management in Kazakh universities. Taking a perspective centred on academics, the results indicate that scholars’ assessments reveal a comparatively low variance regarding the importance of quality management. Based on these results, the paper suggests that empirical studies need to be broadened with comparative perspectives from different organisational contexts, groups and administrative traditions.
Modeling residual thermal stresses in layer-by-layer formation of direct metal laser sintering process for different scanning patterns for 316L stainless steel
Authors: Sezer Hayri , Tang Joseph , Ahsan AMM Nazmul , Kaul Sudhir 
Published: April 2022

Purpose
The purpose of this study is to develop a novel comprehensive three-dimensional computational model to predict the transient thermal behavior and residual stresses resulting from the layer-by-layer deposition in the direct metal laser sintering process.

Design/methodology/approach
In the proposed model, time integration is performed with an implicit scheme. The equations for heat transfer are discretized by a finite volume method with thermophysical properties of the metal powder and an updated convection coefficient at each time step. The model includes convective and radiative boundary conditions for the exposed surfaces of the part and constant temperatures for the bottom surface on the build plate. The laser source is modeled as a moving radiative heat flux along the scanning pattern, while the thermal gradients are used to calculate directional and von Mises residual thermal stresses by using a quasi-steady state assumption.

Findings
In this study, four different scanning patterns are analyzed, and the transient temperature and residual thermal stress fields are evaluated from these patterns. It is found that the highest stresses occur where the laser last leaves off on its scanning pattern for each layer.

Originality/value
The proposed model is designed to capture the layer-by-layer deposition for a three-dimensional geometry while considering the effect of the instantaneous melting of the powder, melt pool, dynamic calculation of thermophysical properties, ease of parametrization of various process parameters and the vectorization of the code for computational efficiency. This versatile model can be used for process parameter optimization of other laser powder bed fusion additive manufacturing techniques. Furthermore, the proposed approach can be used for analyzing different scanning patterns.