bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of sovereign spreads in Sri Lanka: global factors and country-specific fundamentals
Authors: Kariyawasam Nirukthi Prathiba , Jayasinghe Prabhath 
Published: February 2022

PurposeThe study aims to analyze and compare the influence of country-specific fundamentals and global conditions on sovereign risk of Sri Lanka within the sample period of 2006–2019 while employing Treasury bond rates as proxy for sovereign risk.Design/methodology/approachThe determinant powers of the variables are assessed using the auto regressive distributed lag (ARDL) model to verify both short- and long-run effects on sovereign spreads.FindingsThe study finds that Sri Lanka's sovereign spreads are shaped by both country fundamentals and global factors, though local determinants tend to have greater influence when the directions of coefficients are ignored. While the impact of most variables was in line with the researchers' expectations, fiscal deficit was found to have an unconventional negative coefficient which may be explained by investors' optimistic take on Government's involvement in post-war economic development drive during the sample period, enabling Sri Lanka to attract low-cost funding.Research limitations/implicationsThe study excludes of impact of the ongoing coronavirus disease-2019 ( COVID-19) health crisis which may unduly distort the data. Further, the research does not capture the impact of change in sentiment owing to market information, debt dynamics and policy changes in Sri Lanka.Practical implicationsThe study reveals that a sound monetary policy directed at preserving both the internal and external value of currency as well as a disciplined fiscal policy are imperative to manage Sri Lanka's sovereign risk, particularly in the face of global uncertainties.Originality/valueThe study adds to the literature by investigating the timely importance of a country's internal fundamentals against the global events. Furthermore, the research would complement the scarcity of research regarding that subject focused on the Sri Lankan economy, capturing the rapid variations in the fundamentals that the country has undergone since the end of the civil war while recognizing the growing influence of globalization over the recent years.
A labour performance score and grading system to the next normal practices in construction
Authors: Manoharan Kesavan , Dissanayake Pujitha B.G. , Pathirana Chintha , Deegahawature Dharsana , Silva K.D. Renuka Ruchira 
Published: February 2022

PurposeThe performance-based utilisation of labour resources is a decisive function for developing characteristics of the next normal in the construction industry. Based on the industry's needs, this study aims to develop a framework for the systematic process of labour performance evaluations and labour grading towards achieving higher productivity in construction operations.Design/methodology/approachBoth qualitative and quantitative methods were applied through a comprehensive literature review, surveys and experts' discussions to develop a set of labour training elements of outcomes. Problem-focused and action-oriented communication approaches were used throughout the study to produce detailed steps for the systematic evaluations of labour performance.FindingsThe study has presented a framework consisting of a set of labour training elements of outcomes with the relative weights, as well as the detailed procedures to assess labour competencies towards the calculations of labour performance score values and labour grading.Research limitations/implicationsAlthough the scope of the study is limited to the Sri Lankan context, the findings may be tested in other countries for upgrading their performance improvement practices of labour operations.Practical implicationsThe study outcomes will strengthen the construction management practices for the successful implementation of labour training and performance evaluations at construction sites, and also contribute to upgrading the vocational training programmes in the country towards the next sustainable normal.Originality/valueThe developed framework can be a functional tool for the construction industry that provides a mechanism to show the detailed cross-section of each labourer's performance and values, and also displays their roles and responsibilities to accelerate the next normal in the construction industry.
Supporting complex decision making in learning space design: WDA-ANP, a novel sociotechnical systems approach
Authors: Navarro Bringas Eduardo , Bowles Graeme , Walker Guy H. 
Published: February 2022

Purpose
The purpose of this paper is to introduce a novel approach, underpinned by systems thinking, to structure requirements and support front-end design decision-making around the performance in-use of developments within highly complex environments, with diverse stakeholders and users, such as the case of learning spaces in higher education (HE).

Design/methodology/approach
Work domain analysis (WDA), a sociotechnical systems design framework, is first used to model the constraints that shape the expected performance of an informal learning space (ILS). Based on the model, the following stage involved a sector-wide survey questionnaire (n = 175) to appraise the views of different stakeholder groups in relation to ILS. These were analysed using the analytical network process (ANP).

Findings
This study provides a novel approach, using WDA, to conceptualise the constraints shaping the performance in-use, integrating the perspectives of different stakeholder groups. Furthermore, it provides a structured approach to establish priorities that can serve as the basis to support complex decision-making during early design stages. The findings and proposed WDA–ANP approach aim to support HE estate managers on better understanding and integrating perspectives in relation to campus developments.

Originality/value
In this paper, a novel systems-based approach is proposed as an alternative to conceptualise ILS. Furthermore, the approach is combined with ANP, a multi-criteria decision-making approach, to develop a novel tool to derive priorities and support front-end design decision-making in learning space design.
Is an all-inclusive educational policy a determinant of voting behaviour in Ghana?
Authors: Amoah Anthony , Kwablah Edmund , Kofi Taayeli Andrews , Amoah Benjamin 
Published: February 2022

PurposeIn this study, the authors investigate Ghana's Free Senior High School policy as an all-inclusive development policy that drives voting behaviour.Design/methodology/approachUsing the snowball sampling technique and a statistically representative sample size of 413 eligible voters from Ghana, the authors estimate a multinomial logistic regression with its marginal effects.FindingsThe results show that as the number of Free Senior High School beneficiaries per household increases, the more the voters in that household are likely to vote for the policy implementor. Similarly, voters who believe that the Free Senior High School policy has had an impact on students' performance are more likely to vote for the policy implementor. By implication, an all-inclusive development policy such as the Free Senior High School educational policy has the probability of influencing voting behaviour in favour of the policy implementor.Originality/valueTo the best of the authors’ knowledge, this is the first study to investigate the nexus between an all-inclusive Free Senior High School educational policy and voting behaviour in Ghana.
How does mHealth service quality influences adoption?
Authors: Li Yi , Liu Renjing , Wang Jinbo , Zhao Tong 
Published: February 2022

PurposeThis study investigated the underlying influence mechanism between mHealth service quality (SQ) and users' adoption intention and compared the differences of consumer individual decision-making behaviors between the pre-adoption stage and the post-adoption stages.Design/methodology/approachThis study built the pre-adoption and post-adoption models based on the stimulus-organism-response (S-O-R) model. Besides, this study collected 14,221 independent samples from 40 studies of pre-adoption intention to use and 12,876 independent samples from 36 studies of post-adoption intention to continue using and used meta-analysis structural equation modeling (MASEM) method to explore the formation of mHealth service quality influence on consumers toward adoption intention.FindingsThe results showed that (1) service quality positively trigger users' cognition response (i.e. perceived usefulness, perceived ease of use and perceived trust) and further positively drove the adoption and continuance intention; (2) there are similarities and differences in the relative importance of users' cognitive response between service quality and adoption intention at pre-adoption and post-adoption stages; (3) perceived trust (PTRU) played the most significant mediator in predicting users' adoption intention in both two stages; (4) perceived usefulness had a stronger influence than perceived ease of use (PEOU) on the adoption intention in pre-adoption while the result was just opposite in post-adoption stage.Practical implicationsThis study could help service providers effectively allocate their limited resources to improve user adoption intention.Originality/valueThis study is the first one to open the black box of the underlying influence mechanisms between mHealth service quality and individual adoption intention in mHealth services and show differences in consumer decision-making according to the adoption stage. It provides a new perspective to the research in mHealth.
The effects of supply chain risk information processing capability and supply chain finance on supply chain resilience: a moderated and mediated model
Authors: Yuan Yaqin , Li Wei 
Published: February 2022

PurposeThis study aims to investigate the impact of supply chain risk (SCR) information processing capabilities (e.g. SCR information sharing and SCR information analysis) and supply chain finance (SCF) on supply chain resilience, as well as the moderating effect of environmental uncertainty in the relationship between SCF and supply chain resilience.Design/methodology/approachThis paper proposes a theoretical model grounded on the information processing theory. Data collected from 216 Chinese firms are used to test the theoretical model by employing structural equation modelling.FindingsThe findings reveal that SCR information processing capabilities have a significant impact on both SCF and supply chain resilience. SCF plays a partial mediating role in the relationship between SCR information processing capabilities and supply chain resilience. In addition, environmental uncertainty moderates the relationship between SCF and supply chain resilience.Originality/valueFirst, this paper enriches the knowledge of how information processing capability affects SCF and supply chain resilience as the study considers the more granular SCR information rather than general information that has been discussed in previous studies. Second, this is one of the first papers to establish the relationship between SCF and supply chain resilience in emerging economies. Next, the paper extends the theoretical framework of the antecedents and consequences of SCF. Moreover, the study further facilitates the understanding of the role of the external environment in SCR and SCF management.
Practice theories and supply chain sustainability: a systematic literature review and a research agenda
Authors: Silva Minelle E. , Fritz Morgane M.C. , El-Garaihy Wael Hassan 
Published: February 2022

PurposeThis paper presents an investigation into the ways the term “practice” is commonly referenced in supply chain management academic papers. Scholars have not yet developed a common understanding of the meaning and do not use practice theories when examining practices related to sustainability management in supply chains. Hence, the authors highlight theoretical gaps and make recommendations for future research.Design/methodology/approachGrounded in a systematic literature review of 232 peer-reviewed papers published in operations and supply chain management journals, a qualitative content analysis was conducted using both a deductive and an inductive approach.FindingsResults show that supply chain sustainability (SCS) scholars seem barely interested in increasing the understanding of the term “practice,” widely used in the literature to refer to a practical context. Moreover, a clear distinction between being practical and using practice theories to study SCS practices is needed. A descriptive and critical analysis revealed eight key supply chain practices connected to sustainability, with a clear reflection on their meaning. As awareness of practice theories for research on SCS is limited, few recommendations for researchers and practitioners were identified.Originality/valueUnlike prior literature reviews, the authors reinforce the need to increase the maturity of the SCS field by going beyond superficial theoretical building. Practice theories pathways are provided to enlighten scholars on how to avoid using the term “practice” as taken-for-granted and on how to deal with SCS research and practice.
Surface modification of prototypes in fused deposition modelling using lapping process
Authors: Ehteshamfar Mohammad Vahid , Javadi Mohammad Sadegh , Adibi Hamed 
Published: February 2022

Purpose
Parts created with fused deposition modelling (FDM) have poor surface quality and dimensional accuracy, which limits their applicability in a variety of applications. Therefore, post process of FDM parts seems to be essential to tackle these problems. The purpose of this study is to study the influence of lapping parameters (time, weight and angular velocity) on the surface roughness, material removal rate (MRR) and flexural strength of acrylonitrile butadiene styrene (ABS) parts manufactured by FDM were post processed with the aid of lapping operation.

Design/methodology/approach
After printing the specimens, parts were lapped according to the Taguchi design of experiments. The surface roughness of the lapped parts was then evaluated by using laser profilometry, and the results were compared to study how lapping parameters affected surface roughness. A digital microscope was used to examine the surface damage of components that were being lapped. After that, the flexural strength of lapped parts was compared with the untreated part to study the effect of lapping process on the flexural strength. Finally, the influence of lapping parameters was investigated on the thickness change and MRR.

Findings
The results showed that while by increasing lapping time the surface roughness would improve; angular velocity and weight have an optimal value. The results also illustrated that not only the surface roughness of all ABS samples improve significantly but also the antistrophic behaviour of additively manufactured parts is turned to isotropic behaviour without decreasing flexural strength of specimens. MRR is also proportional to these parameters and by rising the value of them, MRR will increase.

Originality/value
The previous techniques of improving surface roughness whether chemical treatment or mechanical treatment had some disadvantages such as reducing mechanical properties, cost, long time of the process and so forth. As a result, finding a new approach such as lapping process to overcome the problems of previous methods seems to be necessary.
Optimization of FDM 3D printing parameters for high strength PEEK using the Taguchi method and experimental validation
Authors: Jiang Cho-Pei , Cheng Yung-Chang , Lin Hong-Wei , Chang Yu-Lee , Pasang Tim , Lee Shyh-Yuan 
Published: February 2022

Purpose
Polyetheretherketone (PEEK) is used to manufacture biomedical implants because it has a high strength-to-weight ratio and high strength and is biocompatible. However, the use of fused deposition modeling to print a PEEK results in low strength and crystallinity. This study aims to use the Taguchi method to optimize the printing factors to obtain the highest tensile strength of the printed PEEK object. The annealing effect on printed PEEK object and crystallinity are also investigated.

Design/methodology/approach
This study determines the printing factors including the printing speed, layer thickness, printing temperature and extrusion width. Taguchi experimental design with a L9 orthogonal array is used to print the tensile specimen and carried out the tensile test to compare the tensile strength and porosity. Analysis of variance (ANOVA) is used to determine the experimental error and to determine the optimization printing parameters to obtain the highest tensile strength. A multivariate linear regression analysis is used to obtain the linear regression equation for predicting the theoretical tensile strength. An X-ray analysis is achieved to evaluate the crystalline of printed object. The effect of annealing is investigated to improve the tensile strength of printed part. An intervertebral lumber device is printed to demonstrate the feasibility of the obtained optimization parameters for practical application.

Findings
Taguchi experiment designs nine sets of parameters to print the PEEK tensile specimen. The experimental results and the ANOVA present that the order in which the factors affect the tensile strength for printed PEEK parts is the layer thickness, the extrusion width, the printing speed and the printing temperature. The optimized printing parameters are a printing speed of 5 mm/s, a layer thickness of 0.1 mm, a printing temperature of 395 °C and an extrusion strand width of 0.44 mm. The average tensile strength of printed specimen with the optimized printing parameters is 91.48 MPa, which is slightly less than the theoretical predicted value of 94.34 MPa. After annealing, the tensile strength increases to 98.85 MPa, which is comparable to that for molded PEEK and the porosity decreases to 0.3 from 3.9%. X-ray diffraction results show that all printed and annealed specimens have a high degree of crystallinity. The printed intervertebral lumber device has ultimate compressive load of 13.42 kN.

Originality/value
The optimized printing parameters is suitable for low-price fused deposition modeling machine because it does not involve a table at high temperature and can print the PEEK object with high tensile strength and good crystalline. Annealing parameters offer a good solution for tensile strength improvement.
Cracking the hybrid work culture conundrum: how to create a strong culture across a workforce you may never even see
Authors: Evans Ellie 
Published: February 2022

Purpose
The purpose of this paper is to look at how workplaces can create a healthy corporate culture as a hybrid way of working comes into force. The pandemic has made many businesses rethink their corporate culture strategy, and this study addresses how to regain and sustain a positive long-term culture. This is done by exploring aspects of pre-pandemic work life, how businesses can continue this going forward, and additional ways to ensure employees are fulfilled – all while providing a safe environment to work in.

Design/methodology/approach
The author analyses pre-pandemic working culture, impartial report findings, third-party research, and her deep understanding and domain expertise in human resources (HR) to guide the reader in identifying key components of an effective corporate culture during this fast-paced, disruptive era. The study provides background context and offers three main ways on how to successfully achieve this.

Findings
The findings from this study demonstrate three main ways in which HR leaders can enhance the working environment and how this can have multiple positive business outcomes. Driving and living core values from the most senior positions all the way through the workforce, changing values which are no longer fit for purpose, creating new workplace networking opportunities and recognising colleague contributions, especially during times of uncertainty, are all critical components of long-term culture success. The findings demonstrate how this is not only beneficial for a business but for the workforce too – helping retain important talent and also attracting new employees.

Originality/value
The study fulfils an identified need to analyse and inform on forward-looking corporate culture trends and challenges amid the pandemic.
An improved 25‐point finite‐difference scheme for frequency‐domain elastic wave modelling
Authors: Li Shizhong , Sun Chengyu 
Published: February 2022

ABSTRACTFrequency‐domain finite‐difference modelling is widely used in exploration geophysics. However, it involves solving a large system of linear algebraic equations, which may cause huge computational costs, especially for large‐scale models. To address this issue, we have proposed an improved 25‐point finite‐difference scheme for wavefield modelling of two‐dimensional frequency‐domain elastic wave equations. The biggest difference between the improved 25‐point scheme with other 25‐point schemes is the finite‐difference formulas for spatial derivatives. The proposed 25‐point scheme applies to equal and unequal grid intervals, and its optimization coefficients depend on the grid‐spacing ratio and Poisson's ratio. The dispersion analysis indicates that within the phase velocity errors of 1% and 2%, the improved 25‐point scheme only requires approximately 2.3 and 2.2 grid points per shear wavelength, which has greater accuracy than the existing schemes. To eliminate artificial boundary reflections, we apply the perfectly matched layer boundary conditions to the model edges. Several numerical examples are presented to prove the validity of the improved 25‐point scheme.
Botrytis cinerea BcSSP2 protein is a late infection phase, cytotoxic effector
Authors: Zhu Wenjun , Yu Mengxue , Xu Ran , Bi Kai , Yu Shuang , Xiong Chao , Liu Zhiguo , Sharon Amir , Jiang Daohong , Wu Mingde , Gu Qiongnan , Gong Ling , Chen Weidong , Wei Wei 
Published: February 2022

SummaryBotrytis cinerea is a broad‐host‐range necrotrophic phytopathogen responsible for serious diseases in leading crops. To facilitate infection, B. cinerea secretes a large number of effectors that induce plant cell death. In screening secretome data of B. cinerea during infection stage, we identified a phytotoxic protein (BcSSP2) that can also induce immune resistance in plants. BcSSP2 is a small, cysteine‐rich protein without any known domains. Transient expression of BcSSP2 in leaves caused chlorosis that intensifies with time and eventually leads to death. Point mutations in eight of 10 cysteine residues abolished phytotoxicity, but residual toxic activity remained after heating treatment, suggesting contribution of unknown epitopes to protein phytotoxicity. The expression of bcssp2 was low during the first 36 h after inoculation and increased sharply upon transition to late infection stage. Deletion of bcssp2 did not cause statistically significant changes in lesions size on bean and tobacco leaves. Further analyses indicated that the phytotoxicity of BcSSP2 is negatively regulated by the receptor‐like kinases BAK1 and SOBIR1. Collectively, our findings show that BcSSP2 is an effector protein that toxifies the host cells, but is also recognized by the plant immune system.