bluuebunny/crossref_metadata_2025_split huggingface dataset:
Asymmetric effects of exchange rate on money demand in Nigeria: evidence from the new broad money aggregate (M3)
Authors: Afangideh Udoma Johnson , Garbobiya Tuwe Soro , Umar Farida Bello , Usman Nuruddeen , Ocheni Victor Unekwu , Yakubu Sanusi Muhammad 
Published: July 2021

PurposeThis paper is focused on determining the asymmetric effects of exchange rate on money demand function in Nigeria.Design/methodology/approachIt employs the empirical model of Baumol–Tobin. Baumol (1952), which was founded on the opportunity and transaction cost of holding money. Monetary aggregates, M1, M2 and M3, are used for the real money balances based on the nonlinear Autoregressive Distributed Lag bound testing procedure.FindingsThe results indicate that the positive and negative partial sum of exchange rate changes differ in magnitude and size, supporting the hypothesis of asymmetric effects of exchange rate changes on the demand for money in Nigeria.Originality/valueThis is the first paper to consider the new broad money aggregate (M3).
Edge scattering limited crosstalk analysis in adjacent multilayer graphene interconnects and its impact on gate oxide reliability
Authors: Sidhu Ramneek , Rai Mayank Kumar 
Published: July 2021

Purpose
This paper aims to present the edge scattering dominant circuit modeling. The effect of crosstalk on gate oxide reliability (GOR), along with the mitigation using shielding technique is further studied.

Design/methodology/approach
An equivalent distributed Resistance Inductance Capacitance circuit of capacitively coupled interconnects of multilayer graphene nanoribbon (MLGNR) has been considered for T Simulation Program with Integrated Circuit Emphasis (TSPICE) simulations under functional and dynamic switching conditions. Complementary metal oxide semiconductor driver transistors are modeled by high performance predictive technology model that drive the distributed segment with a capacitive load of 0.001 fF, VDD and clock frequency as 0.7 V and 0.2 GHz, respectively, at 14 nm technology node.

Findings
The results reveal that the crosstalk induced delay and noise area are dominated by the overall mean free path (MFP) (i.e. including the effect of edge roughness induced scattering), in contrary to, acoustic and optical scattering limited MFP with the temperature, width and length variations. Further, GOR, estimated in terms of average failure rate (AFR), shows that the shielding technique is an effective method to minimize the relative GOR failure rate by, 0.93e-7 and 0.7e-7, in comparison to the non-shielded case with variations in interconnect’s length and width, respectively.

Originality/value
Considering realistic circuit modeling for MLGNR interconnects by incorporating the edge roughness induced scattering mechanism, the outcomes exhibit more penalty in terms of crosstalk induced noise area and delay. The shielding technique is found to be an effective mitigating technique for minimizing AFR in coupled MLGNR interconnects.
Transfer learning for hostel image classification
Authors: Ammatmanee Chanattra , Gan Lu 
Published: July 2021

PurposeBecause of the fast-growing digital image collections on online platforms and the transfer learning ability of deep learning technology, image classification could be improved and implemented for the hostel domain, which has complex clusters of image contents. This paper aims to test the potential of 11 pretrained convolutional neural network (CNN) with transfer learning for hostel image classification on the first hostel image database to advance the knowledge and fill the gap academically, as well as to suggest an alternative solution in optimal image classification with less labour cost and human errors to those who manage hostel image collections.Design/methodology/approachThe hostel image database is first created with data pre-processing steps, data selection and data augmentation. Then, the systematic and comprehensive investigation is divided into seven experiments to test 11 pretrained CNNs which transfer learning was applied and parameters were fine-tuned to match this newly created hostel image dataset. All experiments were conducted in Google Colaboratory environment using PyTorch.FindingsThe 7,350 hostel image database is created and labelled into seven classes. Furthermore, its experiment results highlight that DenseNet 121 and DenseNet 201 have the greatest potential for hostel image classification as they outperform other CNNs in terms of accuracy and training time.Originality/valueThe fact that there is no existing academic work dedicating to test pretrained CNNs with transfer learning for hostel image classification and no existing hostel image-only database have made this paper a novel contribution.
State ownership, prior experience and performance: a comparative analysis of Chinese domestic and cross-border acquisitions
Authors: Du Min , Kwabi Frank , Yang Tianle 
Published: July 2021

PurposeDrawing on three theoretical frameworks, this paper aims to examine the effects of state-owned enterprises (SOEs) and the interaction between SOEs and prior acquisition experience of Chinese domestic and cross-border acquirers.Design/methodology/approachUsing a sample of 4,116 firms consisting of 3,939 domestic mergers and acquisitions (M&As) and 177 cross-border M&As over the period 2004–2017, this study adopts both accounting- and market-based performance measures, namely, return on assets, return on equity and buy-and-hold abnormal return to analyse the effects of SOEs and the interaction between SOEs and prior acquisition experience on acquirers’ performance.FindingsFirst, this paper finds SOEs to exert a positive influence on acquirer performance, contrary to agency theory but in line with the resource-based view. However, the positive relationship between SOEs and performance appears more pronounced for domestic M&A compared to cross-border M&As. Second, this study also finds prior acquisition experience and the combined effect of SOE and prior acquisition experience to have a positive and significant bearing on performance.Research limitations/implicationsThe limitation of this study is the lack of cross-border M&A data with all the relevant information compared to domestic M&A. Thus, the cross-border M&A sample appears lower compared to the domestic M&A sample.Practical implicationsThe results imply that the moderating role of prior acquisition experience on the relationship between SOEs and performance appears to be crucial for cross-border M&A performance compared to domestic M&A.Originality/valueThe findings of this study show SOEs increase performance, contrary to the widely held view based on agency theory that SOEs are inefficient.
How does coaching influence teacher implementation of a science programme? Evidence from an experimental study
Authors: Furman Melina , Luzuriaga Mariana , Taylor Inés , Podestá María Eugenia 
Published: July 2021

PurposeThe study aimed to understand the effect of instructional coaching on teachers' implementation of a science teaching improvement programme and whether it varies in schools of different socioeconomic statuses.Design/methodology/approachThe authors conducted an experimental study. A total of 59 seventh-grade classrooms from a representative sample of public schools from the city of Buenos Aires, Argentina, were provided with research-based science educative curriculum materials (ECM) as resources to improve their teaching. A randomly selected treatment group received additional instructional coaching. Coaches met one-on-one with teachers on a weekly basis, providing pedagogical support to enact the ECM. After a 12-week intervention, the authors analyzed science teaching practices as evidenced in students' notebooks. The authors used a fidelity framework to understand the programme's implementation (with and without coaching), considering its adherence, dosage and quality, and compared how it varied across schools.FindingsWhile teachers in both groups used the ECM in their science lessons (i.e. with high adherence), instructional coaching almost tripled science teaching time (i.e. the dosage) but did not increase the quality of implementation (i.e. the percentage of inquiry-based science activities taught). In low socioeconomic status schools, the effect of coaching on dosage was even more intense.Originality/valueThis study provides robust evidence on the impact of instructional coaching on teaching improvement programmes in science in developing countries, an under researched topic. The findings may contribute to developing targeted coaching interventions considering their effectiveness in different school contexts.
Selection of appropriate maintenance strategy using fuzzy VIKOR technique: application in paper industry
Authors: Chopra Amit , Sachdeva Anish , Bhardwaj Arvind 
Published: July 2021

PurposeThe industry is relying on the preventive maintenance techniques that can minimize failures and provide industrial plants with effective equipment, but in many companies the maintenance tasks are performed very frequently and not as per plan and do not take into consideration the conditions of the plant and equipments. The failure of each and every component needs to be studied in order to choose the best maintenance strategy. This paper presents a fuzzy VIKOR (Multicriteria Optimization and Compromise Solution) technique which is used in developing a comprehensive approach for maintenance strategy selection in the Deinking plant of the paper industry to choose the appropriate maintenance strategy thereby reducing the unnecessary cost incurred on the maintenance.Design/methodology/approachIn this paper, the Fuzzy VIKOR based methodology was applied for determining the maintenance criticality index of the deinking plant of the paper industry. The effect of failure of components were evaluated by three maintenance experts on five performance criteria that is chance of failure, chance of non-detection, downtime length, severity, spare part criticality. The components were ranked according to the maintenance criticality index and thereby implementing the appropriate maintenance strategy.FindingsThe Fuzzy VIKOR technique was applied to calculate the ranking of various components of paper industry based on the views and judgment of three maintenance experts. The proposed technique suggested the appropriate maintenance strategy for various components taking into consideration the maintenance criticality index of the components.Originality/valueThe proposed technique will help the maintenance managers to solve a discrete problem with non-commensurable and conflicting criteria. The study will help the industries to reduce the unnecessary maintenance tasks and thereby reduce the maintenance cost. This will help the maintenance practitioners in choosing the best and most effective strategy for the organization with regard to the market and company situation especially in the changing business requirement of Industry 4.0.
The spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior
Authors: Qi Tuotuo , Wang Tianmei , Yan Jiarui 
Published: July 2021

PurposeUnderstanding health experts' online free knowledge contribution behavior is vital for promoting health knowledge and improving health literacy. This study focuses on the spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior.Design/methodology/approachIn 2016, Zhihu Live and Zhi Hu were launched as two types of paid knowledge products on Zhihu.com, a hybrid knowledge exchange platform. Focusing on the policy impact of launching Zhihu Live and Zhi Hu, this study uses the difference-in-differences model to analyze the heterogeneous spillover effects of high-yield and low-yield monetary incentives on health experts' free knowledge contribution behavior.FindingsIn the short term, the high-yield monetary incentive has positive spillover effects on the quantity and quality of free knowledge contribution while the low-yield monetary incentive generates opposite effects. In the long term, the effects of the high-yield monetary incentive remain significantly positive. The effect of the low-yield monetary incentive on the quantity of free knowledge contribution remains significantly negative, but its effect on the quality of free knowledge contribution is not significant.Originality/valueThis study combines theories of reciprocity and resource limitation to study the spillover effects of different monetary incentive levels on health experts' online behavior. The short-term and long-term effects of different monetary incentive levels on health experts' online behavior are also explored.
Adoption of climate-smart agriculture technology in drought-prone area of India – implications on farmers' livelihoods
Authors: Pal Barun Deb , Kapoor Shreya , Saroj Sunil , Jat M.L. , Kumar Yogesh , Anantha K.H. 
Published: July 2021

PurposeLaser land leveling (LLL) is a climate-smart technology that improves water use efficiency and reduces risk in crop cultivation due to weather variability. Hence, this technology is useful for cultivating water-intensive crops in a sustainable way. Given this background, the state government of Karnataka initiated to promote LLL in drought-prone districts and selected Raichur district for implementation. Moreover, farmers in this district had observed drought situation during monsoon paddy growing season in 2018. Therefore, this study attempts to investigate the importance of LLL technology for paddy cultivation under drought conditions.Design/methodology/approachA primary survey with 604 farmer households had been conducted in Raichur in 2018. Among them, 50% are adopters of LLL who have been selected purposively and rest 50% are non-adopters who have grown paddy in the adjacent or nearest plot of the laser-leveled plot. The adoption and causal impact of LLL has been estimated using propensity score matching, coarsened exact matching and endogenous switching regression methods.FindingsThe result reveals a positive and significant impact of LLL on paddy yield and net returns to the farmers. The results indicate an increment of 12 and 16% in rice yield and net income, respectively, for LLL adopters in comparison to the non-adopters of LLL.Research limitations/implicationsThe major limitation of the study is that it does not adopt the method of experimental study due to certain limitations; hence, the authors employed a quasi-experimental method to look at the possible impact of adoption of LL.Originality/valueThere have been various agronomic studies focusing on theex-anteassessment of the LLL. This study is anex-postassessment of the technology on the crop yield and farmers' income in a dry semi-arid region of India, which, according to the authors, is the first in this approach.
Financial literacy and personal retirement planning: a socioeconomic approach
Authors: Safari Kulondwa , Njoka Charity , Munkwa Mugisho Guershom 
Published: July 2021

PurposeThe purpose of this study was to investigate the effect of financial literacy on personal retirement planning in Bukavu city in the Democratic Republic of the Congo (DRC), which is a Sub-Saharan underdeveloped country with a weak pension and social security system.Design/methodology/approachThis study used a structural equation modeling and a sample of 361 public sector employees selected in Bukavu city in the DRC. The data were collected through a survey questionnaire, and the data were analyzed using SPSS and SMART PLS software.FindingsThe results from the study revealed that financial literacy has a significant impact on personal retirement planning. Two constructs of financial literacy, respectively, computation capability and financial knowledge were found to have a significant impact on personal retirement planning, while financial education and attitudes toward financial products were found not significant in explaining personal retirement planning.Practical implicationsThe findings from this study can be used by policy makers in the DRC to design socioeconomic programs, aiming to increase the level of financial literacy in the country and awareness on personal retirement planning.Originality/valueThe reviewed studies were based mostly on developed countries, and countries were the social security system works effectively. We have not found a study on financial literacy and retirement planning that has been conducted in the DRC, which is a country with specific characteristics compared to developed countries.
COVID-19: it’s impact in Hajj and Umrah and a future direction
Authors: Muneeza Aishath , Mustapha Zakariya 
Published: July 2021

Purpose
There is a misconception that Hajj and Umarah is just a worship matter and the consequences of suspending these religious gathering due to the pandemic is only limited to delay of going Saudi Arabia to perform it. However, the purpose of this paper is to focus on the impact of the pandemic in Hajj and Umrah by exploring its impact on different stakeholders affecting its disruption due to the pandemic.

Design/methodology/approach
This is a library-based study that uses qualitative method to explore the impact of COVID-19 on Hajj and Umrah. Thus, provisions of Quran and hadith on Hajj and Umrah were examined as primary data for the research to establish the importance of the rituals in Islam. Guidelines set by Hajj regulators and instruments enabling them in that behalf were examined likewise. In addition, content analyses were made of relevant secondary data from published sources including articles, books, newspapers and web resources that embody scholarly, scientific and religious views on the issue being studied.

Findings
It is realised that in the first year of the pandemic, while Umrah is entirely suspended, Hajj was scaled back and performed by 10,000 people altogether, a tiny segment of the over two and half million that partook in the ritual previously. Hajj and Umrah have been greatly inhibited and jeopardised by the COVID-19 pandemic resulting in religious, social, economic, psychological effects on the eligible but affected Muslims and Muslims countries. Along these lines, recommendations were accordingly proffered on the way forward to better Hajj and Umrah management.

Originality/value
It is anticipated that the findings of the research would assist policy makers to comprehend the impact of the pandemic on Hajj and Umrah to ensure that the policies they make in this regard would adequately cover every aspect affecting the stakeholders which is deliberated in this research. It is also expected that the recommendations provided in this paper will assist stakeholders of Hajj and Umrah to grasp the importance of taking precautions for any crisis similar to COVID-19 when it happens.
How to motivate opinion leaders to spread e-WoM on social media: monetary vs non-monetary incentives
Authors: López Manuela , Sicilia Maria , Verlegh Peeter W.J. 
Published: July 2021

PurposeOpinion leaders are increasingly important as a source of information, with consumers judging them to be more credible than other media and more influential than other consumers. Thus, companies have an interest in engaging opinion leaders to post about products and brands, and the authors analyse different incentives for encouraging them to spread the word on social media (via electronic word-of-mouth [e-WoM]).Design/methodology/approachA 2 × 3 between-subjects experimental design was developed in which 359 technological opinion leaders (bloggers) participated. The authors manipulated the monetary incentive (money vs no money) and non-monetary incentives (information only vs return product vs keep product) offered in exchange for a brand post.FindingsVarious techniques for approaching opinion leaders are effective, but to differing degrees. Providing a product free of charge increases the likelihood that opinion leaders will post about it, and the highest intention to post is observed when they are allowed to keep the product. In contrast, giving money to opinion leaders could have an indirect negative impact on their intention to post through the expected negative reaction of followers.Originality/valueIt remains unclear how opinion leaders can best be encouraged to spread e-WoM, as incentives used for consumers may work differently for opinion leaders, who have followers that they want to maintain. The main contribution of this paper lies in its explanation of why opinion leaders react differently to monetary versus non-monetary incentives.
Impacts and challenges of Southern African Development Community’s industrialization agenda on Botswana and Tanzania
Authors: Mkwizu Kezia H. , Monametsi Gladness L. 
Published: July 2021

PurposeThis paper aims to explore the impacts and challenges of the Southern African Development Community’s industrialization agenda on the industrialization of two Sub-Saharan African states, Botswana and Tanzania.Design/methodology/approachThe study adopts the documentary research method by carefully analyzing relevant policy documents, conference papers, reports, and journals.FindingsWhile there is an impact on policy provisions targeted towards industrialization, there are challenges such as poor policy implementation that, if not addressed, could dampen efforts by policymakers in achieving the goal of industrializing the countries.Practical implicationsGovernments should ensure equal synergy relations amongst institutions tasked with implementation. Increase investment in research and development (R&D) and human capital as drivers of innovation are needed for industrialization.Originality/valueThis paper adds to the discourse on industrialization. It also highlights challenges faced by countries whose policies have had minimal impact on industrialization.
Impacts of the internet on perceptions of governance at the community level: the case of Jiangqiao Township in Shanghai, China
Authors: Yao Yili , Zhou Xianghong 
Published: July 2021

PurposeThe rate of urbanisation in China has accelerated community heterogeneity, and yet it has also led to challenges and problems in community governance. This trend has been accompanied by the rapid expansion of information and communication technology (ICT) and online activities. Based on the example of Jiangqiao Township in Shanghai, this paper aims to probe the link between online participation using the internet and its impacts on social capital formation and community development.Design/methodology/approachA literature review was conducted, and a case study method based on quantitative data was applied to test the theoretical framework in the interactions of users’ online participation and perceptions of community governance.FindingsParticipation in an online community through the internet was found to foster new social capital. Distributed social capital had a positive impact on perceptions of governance at the community level, which was due to the resulting network density and social trust of the locality.Originality/valueThis study offers an expanded perspective on the impact of the internet on the behaviour of netizens in China in the context of community governance in new settlements and townships. During the COVID-19 pandemic, it is interesting to investigate how the use of mass communication channels, such as the internet and other digital platforms, affects social behaviour and generates new social norms. This study offers quantitative evidence from China to support the theory of Putnam (1993; 1995a). It thus extends beyond the field of sociology to the fields of public administration and urban development.