bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fostering self-regulation and engaged exploration during the learner-content interaction process: the role of scaffolding in the online inquiry-based learning environment
Authors: Mamun Md Abdullah Al 
Published: April 2022

Purpose
This study aims to present a scaffolding framework incorporating sophisticated technology that can inform instructional design to support student inquiry learning in the self-regulated online environment.

Design/methodology/approach
The classic predict, observe and explain (POE) framework has been extended through the incorporation of an additional evaluate (E) phase into the model to enhance the self-regulated online learning environment. The extended POEE scaffolding approach, in this study, has been conceptualized as an implicit guide to support the process of guided inquiry for learning particular science concepts. Digital tools were sourced and integrated into this design framework to substitute for the support typically offered by teachers and peers in classrooms.

Findings
The findings suggest that the POEE pedagogical design facilitated the inquiry process through promoting self-regulation and engaged exploration. It also promoted positive emotions in students towards the scaffolded learning modules.

Originality/value
Integrating technologies that benefit students differentially in educational settings remains a considerable challenge. More specifically, in science education, an appropriate inquiry learning context that allows access to well informed pedagogical design is imperative. The application of this inquiry-based scaffolding framework can inform educators in the process of creating their own instructional designs and contexts to provide more effective guided learning.
The linkage between international dairy commodity prices and volatility: a panel-GARCH analysis
Authors: Rezitis Anthony N. , Tremma Ourania A. 
Published: April 2022

PurposeThe study's purpose is to investigate the price volatility of four dairy commodities (skim milk powder [SMP], whole milk powder [WMP], butter and cheddar cheese) in the three most significant regional markets (EU, Oceania and US) in the international dairy market.Design/methodology/approachThe study uses a panel-Generalized Autoregressive Conditional Heteroskedastic (panel-GARCH) modeling technique and data from January 12, 2001, to April 28, 2017.FindingsConditional volatility was higher during subperiods 2007–2010 and 2014–2016 when conditional cross-correlations between prices had the lowest values. In some cases, they were negative (i.e. between the EU and the USA and between Oceania and the USA for both butter and cheese). Interdependence across the three dairy markets, especially for SMP and WMP markets and for the butter market between EU and Oceania is also strongly evidenced. Interdependence is responsible for the spillover of price shocks across the three regions.Research limitations/implicationsThe data set used should be extended to cover the COVID-19 pandemic period.Originality/valueThis is the first study to use panel-GARCH to examine international dairy prices and volatility linkages, where previous studies mainly used multivariate GARCH models. Panel-GARCH allows a high-dimensional data series (i.e. 12 dairy prices) and generates potential efficiency gains in estimating conditional variances and covariances by incorporating information about heterogeneity across markets and considering their interdependence.
A business cycle model with money-in-utility (MIU) and government sector: the case of Bulgaria (1999–2020)
Authors: Vasilev Aleksandar 
Published: April 2022

PurposeThe author augments an otherwise standard business cycle model with a richer government sector and adds money-in-utility (MIU) considerations to study economic fluctuations.Design/methodology/approachMore specifically, real money balances enter in a non-separable way with consumption and leisure. This specification is then calibrated to Bulgarian data after the introduction of the currency board (1999–2020) gives a role to money in accentuating economic fluctuations.FindingsThis novel mechanism allows the framework to reproduce – better than the real business cycle (RBC) model – the observed variability and correlations among model variables, and those characterizing the labor market in particular. In addition, money is non-neutral and affects aggregate economic activity.Originality/valueThis is the first micro-founded monetary-DSGE (dynamic stochastic general equilibrium) model on Bulgaria trying to explain the role of money for economic fluctuations.
Choosing jobs over entrepreneurship: how do negative emotions demotivate the aspiring entrepreneurs?
Authors: Sharma Shalaghya , Kumar Amit 
Published: April 2022

Purpose
The purpose of this research paper is to understand the effect of negative emotions created from social interactions on the aspiring entrepreneurs. The government of India has recently started several entrepreneurship development schemes to promote entrepreneurship among Indian youth, but still, the turnout rate tends to be low in some eastern states. A lot of research has been done about the various motivating factors, but less attention has been paid on the social interactions that create negative emotions. Unless researchers and government focus on the value of these negative emotions as corroders of motivation, it would be hard to accomplish the goals of an entrepreneurship-oriented country.

Design/methodology/approach
Interviews were conducted with participants of an entrepreneurship development program at the commencement of program and after one year.

Findings
It was found via the study that social interaction plays a crucial role in determining their motivation toward becoming an entrepreneur. Apart from this feeling of shame, fear, vulnerability, resentment, loneliness and self-doubt are crucial negative emotions that are corroding the chances of entrepreneurship among the Indian youth.

Research limitations/implications
The sample size was small to conduct a quantitative analysis. If a study could be conducted on a larger scale, it would contribute immensely to the entrepreneurship literature.

Social implications
It is a strong reminder of how the society can help in promoting entrepreneurship.

Originality/value
The impact of social interactions on the motivation of budding entrepreneurs has not been studied as per the literature review.
An investigation of individual willingness to pay ransomware
Authors: Cartwright Anna , Cartwright Edward , Xue Lian , Hernandez-Castro Julio 
Published: April 2022

Purpose
Ransomware is a relatively new form of financial extortion that is proving a major cyber-security threat to individuals and organisations. This study aims to investigate factors that may influence an individual's willingness to engage in a ransom payment.

Design/methodology/approach
This study ran a large survey (n = 1,798) on a representative sample of the UK population. This study elicited willingness to pay (WTP) ransomware and also reasons for not wanting to pay a ransom to criminals. This study then used non-parametric tests and regression analysis to identify factors that influence WTP.

Findings
This study finds that women and younger age groups are significantly more willing to pay a ransom, as are those who store photos. There is a strong positive relationship between concern for data breach and WTP a ransom.

Originality/value
To the best of the authors’ knowledge, this is the first large scale study to look at WTP ransomware. This study identifies a range of factors that can help inform law enforcement to target advice about ransomware attacks.
Maturity model toll to diagnose Industry 4.0 in the clothing industry
Authors: Dal Forno Ana Julia , Bataglini Walakis Vieira , Steffens Fernanda , Ulson de Souza Antonio Augusto 
Published: April 2022

PurposeThe purpose of this paper is to present a diagnostic instrument of the maturity of Industry 4.0 technologies adapted to the textile and clothing sector and constructed based on the technological references that support this industrial evolution process.Design/methodology/approachThe proposed methodology began with the systematic literature review using the SciMAT software and then a questionnaire was developed with 49 questions divided into 5 categories – demography, technologies, strategy, digital skills and benefits of the deployment.FindingsThe application in 19 different sectors and 72 people in a textile industry showed this sector is still traditional. The diagnosis results pointed that the level of implementation of Industry 4.0 is considered the first level, later advancing in this order to levels of connectivity, visibility, predictability and adaptability of the processes.Research limitations/implicationsOnly in one company was applied the developed instrument, in this case study, a factory that makes children's and adult clothing items located in Santa Catarina, Brazil.Practical implicationsThrough the use of this assessment instrument, it is possible to perform an internal benchmarking at the company detecting the strong and weak points, as well as involve a multidisciplinary collaborator team.Social implicationsThe comparisons and improvements may be carried out per dimension or sector, which motivates the constant application and assessment of improvements. The instrument to diagnose the maturity of Industry 4.0 technologies in the textile and clothing sector is considered an effective tool for application in a single company or to have its use expanded in a new piece of research to the entire industrial textile segment.Originality/valueThe developed diagnostic tool may be used for both the internal assessment of the company and its placement relative to its competitors, involving several companies from the same sector. It is possible to know about what level of Industry 4.0 maturity the company is and after benchmarking by others and improve.
Understanding tourist behaviour towards destination selection based on social media information: an evaluation using unsupervised clustering algorithms
Authors: Ghosh Prosenjit , Mukherjee Sabyasachi 
Published: April 2022

PurposeThe study aims to cluster the travellers based on their social media interactions as well as to find the different segments with similar and dissimilar categories according to traveller's choice. The study also aims to understand the behaviour of clusters of the travellers towards destination selection and accordingly make the tour packages in order to improve tourists' satisfaction and gain viable benefits.Design/methodology/approachAgglomerative hierarchical clustering with Ward's minimum variance linkage algorithm and model-based clustering with parameterized finite Gaussian mixture models has been implemented to achieve the respective goals. The dimension reduction (DR) technique was introduced for better visualizing clustering structure obtained from a finite mixture of Gaussian densities.FindingsA total of 980 travellers have been clustered into 8 different interest groups according to their tourism destinations selection across East Asia based on individual social media feedback. For selecting the optimal number of clusters as well as the behaviour of the interested travellers groups, both these proposed methods have shown remarkable similarities. DR technique ensures the reduction in dimensionality with seven directions, of which the first two directions explained 95% of total variability.Practical implicationsTourism organizations focus on marketing efforts to promote the most attractive benefits to the clusters of travellers. By segmenting travellers of East Asia into homogeneous groups, it is feasible to choose a similar area to test different marketing techniques. Finally, it can be identified to which segments, new respondents or potential clients belong; consequently, the tourism organizations can design the tour packages.Originality/valueThe study has uniqueness in two aspects. Firstly, the study empirically revealed tourists' experience and behavioural intention to select tourism destinations and secondly, it finds quantifiable insights into the tourism phenomenon in East Asia, which helps tourism organizations to understand the buying behaviours of tourists' segments. Finally, the application of clustering algorithms to achieve the purpose of this study and the findings are very new in the literature on tourism, to understand the tourist behaviour towards destination selection based on social media reviews.
A sustainable circular 3D printing model for recycling metal scrap in the automotive industry
Authors: de Mattos Nascimento Daniel Luiz , Mury Nepomuceno Renan , Caiado Rodrigo Goyannes Gusmão , Maqueira Juan Manuel , Moyano-Fuentes José , Garza-Reyes Jose Arturo 
Published: April 2022

Purpose Industries and businesses are pursuing Industry 4.0 technologies as well as adopting a circular approach focused on improving manufacturing processes through the reduction of wastes, CO2 emissions and mineral exploration to mitigate the impact of climate change. In this sense, additive manufacturing (AM), often referred to as 3D printing, can play a key role in the closed-loop of operations. However, academics and practitioners have scarcely discussed the feasibility of implementing AM alongside circular economy (CE) practices, the techniques and methods that this would require, or how AM could benefit sustainability and circularity. To address these gaps, this paper proposes a novel circular sustainable 3D printing model for scrap recycling in the automotive industry.Design/methodology/approach The methodology uses a literature review-based approach followed by empirical research using metal scraps as the raw material for fabricating a powder to input a metal 3D printer for generating sustainable automotive components. A conceptual sustainable circular model for the automotive industry is proposed. Next, is conducted a focus group comprises AM and automotive industry experts for evaluations.Findings The results indicate that the proposed model can be used to reintroduce waste back into the manufacturing chain as raw material for the on-demand manufacture and supply of automotive components and that it may also have social and environmental implications.Originality/value This paper’s contributions are threefold: it explores the combined use of Industry 4.0 (I4.0), CE and sustainability in the automotive industry, develops a new model to support the circularity and sustainability of the scrap chain and proposes the use of AM as a catalyst of CE practices by reproducing recycled components with a 3D printer for prototypes or fully functioning components.
Will knowledge infrastructure capabilities elevate the project management maturity? An empirical study
Authors: Alghail Adnan , Yao Liu , Abbas Mohammed 
Published: April 2022

Purpose
The factors for higher education institutions’ (HEIs) project management failure have been studied for several years. One of the issues is a lack of tools to combine their knowledge infrastructure capabilities (KIC) with project management (PM) to examine these infrastructures and monitor maturity. There are several project management maturity (PMM) models available. However, there are just a few empirical studies that support the three knowledge infrastructure capabilities and PMM integrations. As a result, the current research aims to suggest a new conceptual model, KIC-knowledge management (KM), and assess a research model that includes the three knowledge infrastructure capabilities as a prerequisite to elevate the PMM.

Design/methodology/approach
Partial least squares structural equation modeling (PLS-SEM) is used to evaluate the proposed research model. The study’s hypotheses were also examined using a sample of 352 respondents from PM departments at ten Yemeni public universities.

Findings
The study found that if the three key knowledge infrastructure capabilities integrate into the PMs, then it will help HEIs to perform project tasks more effectively and efficiently. Also, it will improve the PM maturity level if all the three capabilities positively effect PMM.

Research limitations/implications
The study findings cannot be generalized to other industries because the collected date were with the Yemeni public universities’ context. Also, the new proposed model can be assessed in various sectors to increase the validity of the model. One more thing, future academics can conduct qualitative research study to validate again the proposed model.

Practical implications
Project managers can develop and improve their organization’s effectiveness and performance by focusing on these findings and using the developed model. Also, the findings of this study can be used as a benchmark for evaluating initiatives and knowledge-based governmental entities.

Social implications
It is an opportunity for knowledge-based governmental entities particularly and other organizations to elevate most of projects to achieve a supreme level of maturity. Also, this study will assist employees to understand the relationship between KICs and projects within HEIs in Yemen.

Originality/value
This paper is among the first to empirically study the impact of the three knowledge infrastructure capabilities toward PMM. It links between two important domains: KM and PM.
Reliability of Hydrology and Water Quality Simulations Using Global Scale Datasets
Authors: Jayaprathiga Mahalingam , Cibin Raj , Sudheer K.P. 
Published: April 2022

AbstractPhysics‐based, comprehensive, distributed hydrologic models, such as the Soil and Water Assessment Tool, are a prime choice of decision makers and watershed managers for analyzing the impact of different land management practices on watershed hydrology and water quality. However, the decisions framed through the application of such models are highly affected by the model input data accuracy. On a global scale, the majority of watersheds are data‐limited (DL), and model input data at required spatial and temporal resolutions are unavailable, incomplete, or low in quality. Thus, the hydrological simulations are significantly influenced by poor representation and characterization of the system, which affects the reliability of simulations in DL regions. This study quantifies the effects of global‐scale dataset usage in ecohydrological simulations. The global‐scale datasets are generally coarse in spatial resolution and significantly affect the hydrology and water quality simulations. The average annual flow simulations were 35.7% higher for DL scenarios as compared to the data‐intensive scenario. Researchers with limited data should take special care to ensure that their simulations allow them to take informed decisions so that effective and reliable management system is planned. Validation with locally available data for land use and management practices may help increase reliability.
Petrogenesis and Geodynamic Implications of Early Cretaceous (∼130 Ma) Magmatism in the Baingoin Batholith, Central Tibet: Products of Subducting Slab Rollback
Authors: LI Faqiao , TANG Juxing , WANG Nan , LIU Zhibo , SONG Yang , ZHANG Jing , MA Xudong , FU Bin , LI Haifeng , HAN Songhao 
Published: April 2022

AbstractThe Baingoin batholith is one of the largest granitic plutons in the North Lhasa terrane. Its petrogenesis and tectonic setting have been studied for decades, but remain controversial. Here we report data on geochronology, geochemistry and isotopes of Early Cretaceous granitoids within the Baingoin batholith, which provide more evidence to uncover its petrogenesis and regional geodynamic processes. The Early Cretaceous magmatism yields ages of 134.4–132.0 Ma and can be divided into I‐type, S‐type and highly fractionated granites. The I‐ and S‐type granites exhibit medium SiO2, high K2O/Na2O with negative εNd(t) and εHf(t) values, whereas, the albite granites have very high SiO2 (79.04%–80.40%), very low K2O/N2O, negative εNd(t) and a large variation in εHf(t). Our new data indicate that these granitoids are derived from unbalanced melting in a heterogeneous source area. The granodiorites involved had a hybrid origin from partial melting of basalt‐derived and Al‐rich rocks in the crust, the porphyritic monzogranites being derived from partial melting of pelitic rocks. The albite granites crystallized from residual melt separated from K‐rich magma within the ‘mush’ process and underwent fractionation of K‐feldspar. We believe that the Early Cretaceous magmatism formed in an extensional setting produced by the initial and continuous rollback of a northward‐subducting slab of the NTO.
Source Lithology and Magmatic Processes Recorded in the Mineral of Basalts from the Parece Vela Basin
Authors: YUAN Long , YAN Quanshu 
Published: April 2022

AbstractSince the Early Cenozoic, the Philippine Sea Plate (PSP) has undergone a complex tectonic evolution. During this period the Parece Vela Basin (PVB) was formed by seafloor spreading in the back‐arc region of the proto‐Izu‐Bonin‐Mariana (IBM) arc. However, until now, studies of the geological, geophysical, and tectonic evolution of the PVB have been rare. In this study, we obtained in situ trace element and major element compositions of minerals in basalts collected from two sites in the southern part of the PVB. The results reveal that the basalts from site CJ09‐63 were likely formed via ∼10% partial melting of spinel‐garnet lherzolite, while the basalts from site CJ09‐64 were likely formed via 15%–25% partial melting of garnet lherzolite. The order of mineral crystallization for the basalts from site CJ09‐64 was olivine, spinel, clinopyroxene, and plagioclase, while the plagioclase in the basalts from site CJ09‐63 crystallized earlier than the clinopyroxene. Using a plagioclase‐liquid hygrometer and an olivine‐liquid oxybarometer, we determined that the basalts in this study have high H2O contents and oxygen fugacities, suggesting that the magma source of the Parece Vela basalts was affected by subduction components, which is consistent with the trace element composition of whole rock.
Facies Analysis, Sequence Stratigraphy and Diagenetic Studies of the Jurassic Carbonates of the Kohat Basin, Northwest Pakistan: Reservoir Implications
Authors: KHAN Emadullah , NASEEM Abbas Ali , KHAN Suleman , WADOOD Bilal , REHMAN Faisal , SALEEM Maryam , MEHMOOD Mubashir , AHMAD Waqar , AHMED Zubair , AZEEM Tahir 
Published: April 2022

AbstractThe present study deals with the depositional facies, diagenetic processes and sequence stratigraphy of the shallow marine carbonates of the Samana Suk Formation, Kohat Basin, in order to elucidate its reservoir quality. The Samana Suk Formation consists of thin to thick‐bedded, oolitic, bioclastic, dolomitic and fractured limestone. Based on the integration of outcrop, petrographic and biofacies analyses, the unit is thought to have been deposited on a gentle homoclinal ramp in peritidal, lagoonal and carbonate shoal settings. Frequent variations in microfacies based sea‐level curve have revealed seven Transgressive Systems Tracts (TSTs) and six Regressive Systems Tracts (RSTs). The unit has undergone various stages of diagenetic processes, including mechanical and chemical compaction, cementation, micritization, dissolution and dolomitization. The petrographic analyses show the evolution of porosity in various depositional and diagenetic phases. The fenestral porosity was mainly developed in peritidal carbonates during deposition, while the burial dissolution and diagenetic dolomitization have greatly enhanced the reservoir potential of the rock unit, as is further confirmed by the plug porosity and permeability analyses. The porosities and permeabilities were higher in shoal facies deposited in TSTs, as compared to lagoonal and peritidal facies, except for the dolomite in mudstone, deposited during RSTs. Hence good, moderate and poor reservoir potential is suggested for shoal, lagoonal and peritidal facies, respectively.