bluuebunny/crossref_metadata_2025_split huggingface dataset:
Musical expertise is associated with improved neural statistical learning
Authors: Lerousseau Jacques Pesnot , Schön Daniele 
Published: May 2020

AbstractIt is poorly known whether musical training leads to improvements in general cognitive abilities, such as statistical learning (SL). In standard SL paradigms, musicians have better performances than non-musicians. However, these better performances could be due to an improved ability to process sensory information, as opposed to an improved ability to learn sequence statistics. Unfortunately, these very different explanations make similar predictions on the performances averaged over multiple trials. To solve this controversy, we developed a Bayesian model and recorded electroencephalography (EEG) to study trial-by-trial responses. Our results confirm that musicians perform ~15% better than non-musicians at predicting items in auditory sequences that embed either simple or complex statistics. This higher performance is explained in the Bayesian model by parameters governing SL, as opposed to parameters governing sensory information processing. EEG recordings reveal a neural underpinning of the musician’s advantage: the P300 amplitude correlates with the Bayesian model surprise elicited by each item, and so, more strongly for musicians than non-musicians. Finally, early EEG components correlate with the Bayesian model surprise elicited by simple statistics, as opposed to late EEG components that correlate with Bayesian model surprise elicited by complex statistics surprise, and so more strongly for musicians than non-musicians. Overall, our results prove that musical expertise is associated with improved neural SL, and support music-based intervention to fine tune general cognitive abilities.
The application of nonlinear least-squares estimation algorithms in atmospheric density model calibration
Authors: Zhang Houzhe , Gu Defeng , Duan Xiaojun , Shao Kai , Wei Chunbo 
Published: May 2020

Purpose
The purpose of this paper is to focus on the performance of three typical nonlinear least-squares estimation algorithms in atmospheric density model calibration.

Design/methodology/approach
The error of Jacchia-Roberts atmospheric density model is expressed as an objective function about temperature parameters. The estimation of parameter corrections is a typical nonlinear least-squares problem. Three algorithms for nonlinear least-squares problems, Gauss–Newton (G-N), damped Gauss–Newton (damped G-N) and Levenberg–Marquardt (L-M) algorithms, are adopted to estimate temperature parameter corrections of Jacchia-Roberts for model calibration.

Findings
The results show that G-N algorithm is not convergent at some sampling points. The main reason is the nonlinear relationship between Jacchia-Roberts and its temperature parameters. Damped G-N and L-M algorithms are both convergent at all sampling points. G-N, damped G-N and L-M algorithms reduce the root mean square error of Jacchia-Roberts from 20.4% to 9.3%, 9.4% and 9.4%, respectively. The average iterations of G-N, damped G-N and L-M algorithms are 3.0, 2.8 and 2.9, respectively.

Practical implications
This study is expected to provide a guidance for the selection of nonlinear least-squares estimation methods in atmospheric density model calibration.

Originality/value
The study analyses the performance of three typical nonlinear least-squares estimation methods in the calibration of atmospheric density model. The non-convergent phenomenon of G-N algorithm is discovered and explained. Damped G-N and L-M algorithms are more suitable for the nonlinear least-squares problems in model calibration than G-N algorithm and the first two algorithms have slightly fewer iterations.
Mobile money adoption and usage and financial inclusion: mediating effect of digital consumer protection
Authors: Okello Candiya Bongomin George , Ntayi Joseph Mpeera 
Published: May 2020

Purpose
Drawing from the argument that mobile money services have a significant potential to provide a wide range of affordable, convenient and secure financial services, there have been rampant frauds on consumers of financial products over the digital financial platform. Thus, this study aims to establish the mediating effect of digital consumer protection in the relationship between mobile money adoption and usage and financial inclusion with data collected from micro small and medium enterprises (MSMEs) in northern Uganda.

Design/methodology/approach
To achieve the main objective of this study, a research model was developed to test for the mediating effect of digital consumer protection in the relationship between mobile money adoption and usage and financial inclusion. The data were collected from MSMEs and structural equation modelling in partial least square (PLS) combined with bootstrap was applied to analyze and test the hypotheses of this study. The direct and indirect effect of mobile money adoption and usage on financial inclusion was tested through digital consumer protection as a mediator variable.

Findings
The findings from the PLS-structural equation modelling (SEM) showed that mobile money adoption and usage has both direct and indirect effect on financial inclusion. Moreover, financial inclusion is influenced by both mobile money adoption and usage and digital consumer protection.

Research limitations/implications
The study used partial least square (PLS-SEM) combined with bootstrap confidence intervals through a formative approach to establish the mediating effect of the mediator variable. Hence, it ignored the use of covariance-based SEM and the MedGraph programme. Furthermore, data were collected from samples located in Gulu district, northern Uganda and specifically from MSMEs. This limits generalization of the study findings to other population who also use mobile money services.

Practical implications
Promoters of digital financial services, managers of telecommunication companies, and financial inclusion advocates should consider strengthening the existing digital consumer protection laws on the mobile money platform. A collaborative approach between the mobile network operators, financial institutions and regulators should tighten the existing laws against mobile money fraudsters and an efficient mechanism for recourse, compensation and remedy should be set up to benefit the victims of frauds and cybercrime on the Fintech ecosystem.

Originality/value
The current study gives a useful insight into the critical mediating role of digital consumer protection as a cushion for promoting financial inclusion through mobile phones over the Fintech that face great threat and risk from cyber insecurity.
Analogical reasoning and regulatory focus: using the creative process to enhance consumer-brand outcomes within a co-creation context
Authors: Naletelich Kelly , Spears Nancy 
Published: May 2020

Purpose
New product development (NPD) is increasingly being delegated to consumers, yet little research has investigated consumer-centric factors that may influence this delegation. Thus, the purpose of this paper is to uniquely combine regulatory focus and analogical reasoning to investigate new product ideation and downstream consumer-brand responses.

Design/methodology/approach
A series of experiments were undertaken.

Findings
Study 1 revealed that promotion-focused consumers (as opposed to prevention-focused consumers) have significantly greater purchase intentions if given an analogical reasoning task before engaging in new product ideation due to their cognitive flexibility. Study 2 tested the effects of near vs far analogies and found that promotion-focused consumers use analogical thinking to a greater extent and have significantly higher purchase intentions if primed with far analogies because regulatory fit is enhanced. However, analogical thinking and purchase intentions significantly drop if primed with near analogies. In contrast, prevention-focused consumers use analogical thinking to a greater extent and have significantly higher purchase intentions if shown near analogies, compared to far analogies, because of improved regulatory fit. Both studies confirm a serial mediation chain involving task engagement, self-brand connection, and brand sincerity.

Research limitations/implications
This research extends current understanding regarding the role of creative tasks within consumer NPD. It also uniquely links regulatory focus and consumer task engagement in NPD to increase favorable brand responses.

Practical implications
Findings offer managerial insights that can positively increase consumer-brand outcomes during NPD.

Originality/value
This is one of the first studies to demonstrate the importance of analogical thinking and consumer-centric factors (i.e., regulatory focus) during the NPD process. This avenue of research is important, as most studies have neglected ways in which to increase consumer NPD task engagement, leaving resources unutilized.
MOOC opinion mining based on attention alignment
Authors: Ouyang Yuanxin , Zhang Hongbo , Rong Wenge , Li Xiang , Xiong Zhang 
Published: May 2020

Purpose
The purpose of this paper is to propose an attention alignment method for opinion mining of massive open online course (MOOC) comments. Opinion mining is essential for MOOC applications. In this study, the authors analyze some of bidirectional encoder representations from transformers (BERT’s) attention heads and explore how to use these attention heads to extract opinions from MOOC comments.

Design/methodology/approach
The approach proposed is based on an attention alignment mechanism with the following three stages: first, extracting original opinions from MOOC comments with dependency parsing. Second, constructing frequent sets and using the frequent sets to prune the opinions. Third, pruning the opinions and discovering new opinions with the attention alignment mechanism.

Findings
The experiments on the MOOC comments data sets suggest that the opinion mining approach based on an attention alignment mechanism can obtain a better F1 score. Moreover, the attention alignment mechanism can discover some of the opinions filtered incorrectly by the frequent sets, which means the attention alignment mechanism can overcome the shortcomings of dependency analysis and frequent sets.

Originality/value
To take full advantage of pretrained language models, the authors propose an attention alignment method for opinion mining and combine this method with dependency analysis and frequent sets to improve the effectiveness. Furthermore, the authors conduct extensive experiments on different combinations of methods. The results show that the attention alignment method can effectively overcome the shortcomings of dependency analysis and frequent sets.
Mitigating sustainability risk in supplier populations: an agent-based simulation study
Authors: Hajmohammad Sara , Shevchenko Anton 
Published: May 2020

PurposeMany modern firms strive to become sustainable. To this end, they are required to improve not only their own environmental and social performance but also the performance of their suppliers. Building on population ecology theory, we explore how buyers' exposure to supplier sustainability risk and their subsequent risk management strategies at the buyer–supplier dyad level can lead to adherence to sustainability by the supplier populations.Design/methodology/approachWe rely on a bottom-up research design, in which the actions of buyers within buyer–supplier dyads lead to population-wide changes on the supplier side. Specifically, we use experimental data on managing sustainability risk to build an agent-based simulation model and assess the effect of evolutionary processes on the presence of sustainable/unsustainable business practices in the supplier population.FindingsOur findings suggest that buyers' cumulative actions in managing sustainability risk do not necessarily result in effective population-wide improvements (i.e. at a high rate and to a high degree). For example, in high risk impact conditions, the buyer population is usually able to decrease the population level risk in a long run, but they would need both power and resources for quickly achieving such improved outcomes. Importantly, this positive change, in most cases, is due to the fact that the buyer population selects out the suppliers with high probability of misconduct (i.e. decreased supplier population density).Originality/valueDrawing on the organizational population ecology theory, we explore when, to what degree and how quickly the buyers' cumulative efforts can lead to population-wide changes in the level of supplier sustainability risk, as well as the composition and density of supplier population. Methodologically, this paper is one of the first studies which use a combination of experimental data and agent-based modeling to offer more valuable insights on supply networks.
Examining the willingness to produce organic vegetables in the Bono and Ahafo regions of Ghana
Authors: Dapaah Opoku Precious , Bannor Richard Kwasi , Oppong-Kyeremeh Helena 
Published: May 2020

PurposeThe purpose of this paper was to analyse the demographic, crop choice, institutional and environmental factors that will influence the vegetable growers in Bono and Ahafo regions of Ghana to produce organic vegetables. The study also assessed the knowledge level of vegetable growers on organic certification processes.Design/methodology/approachPrimary data were collected with the help of a structured questionnaire from 120 vegetable growers via a multistage sampling technique. The Heckman selection model was used to analyse the factors that influence farmers' willingness to adopt organic production as well as the intensity of adoption.FindingsIn this study, pepper (Capsicum spp) production, residential status, knowledge of organic certification processes, perceived negative environmental effect of conventional farming on the soil, and climate change positively influenced willingness to produce organic vegetables. Likewise, pepper production perceived negative environmental effect of conventional farming on the soil positively influenced the intensity of adoption. Household headship status, garden egg (Solanum integrifolium) production, perceived knowledge on grading and standards of vegetables, as well as the perception that only pesticides can be used to control vegetable pests negatively influenced the willingness to produce organic vegetables however perceived expertise of the farmer on grades and standards influenced intensity of adoption negatively.Originality/valueIn Ghana, even though most vegetable farmers do not have the requisite knowledge in the safe handling of pesticides, usage is widespread. Subsequent to this, is a health risk to farmers, consumers and the environment. As a result, there is a growing awareness that organic agriculture has a role to play in addressing problems associated with agrochemical use and over usage. However, most studies are consumer oriented with limited empirical research on the willingness to produce organics by farmers.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2019-0723
Intellectual capital and technical efficiency of banks in an emerging market: a slack-based measure
Authors: Duho King Carl Tornam 
Published: May 2020

PurposeThis paper investigates the impact of intellectual capital and its components on slack-based technical efficiency (SBM-TE) of banks.Design/methodology/approachData envelopment analysis is used to compute SBM-TE scores and the Value-Added Intellectual Coefficient (VAIC™) model is used to measure intellectual capital. An unbalanced panel of 32 banks that operated from 2000 to 2017 has been used.FindingsOverall, the efficiency scores are averaged at 79%, suggesting that an inefficient bank needs to enhance technical efficiency by 21% to be at par with the best performing banks. Beta-convergence and sigma-convergence exist among banks with faster speed evident among listed and local banks. Intellectual capital has a positive impact on SBM-TE and human capital is the main driver of technical efficiency among banks. This result is specifically evident among non-listed banks and foreign banks. Economies of scale property are also evident among the banks. Competition and asset tangibility inhibit technical efficiency among banks.Practical implicationsBanks are advised to invest in value-adding emerging technologies and their employees so as to enhance their efficiency. The study offers insights for policymakers, practitioners and researchers in emerging markets.Originality/valueThe study is premier in employing the SBM-TE to explain the intellectual capital and efficiency nexus, as well as, testing for both beta-convergence and sigma-convergence.
European intellectual property institutions and Chinese foreign direct investment
Authors: Alexiou Constantinos , Vogiazas Sofoklis 
Published: May 2020

PurposeWe investigate the impact of the strength of intellectual property (IP) institutions on Chinese outward foreign direct investment (OFDI).Design/methodology/approachWe use two different measures of IP on a sample of 21 European countries in the period 2003–2015. Panel quantile methodology is applied to assess the relationship at several points of the conditional distribution of OFDI.FindingsWe provide novel and robust evidence revealing a highly negative relationship between OFDI and the strength of IP institutions in Europe. This relationship which is more pronounced in the median and upper-quantiles, bolsters the conventional theoretical expectation that high institutional distance between home and host countries is inversely related to OFDI. Equally important is the preliminary evidence of the non-linear impact of IP at the median and upper-quantiles as well as the impact of other controlling variables such as GDP, population, trade openness and unit labour costs on Chinese OFDI.Originality/valueThe ensuing theoretical implications are of great significance for future studies on the institutional distance and drivers of OFDI by emerging economies as well as for European policymakers in so far as the strengthening of IP institutions constitutes a gravitational point for inward investment flows from China.
RegTech solutions and AML compliance: what future for financial crime?
Authors: Kurum Esman 
Published: May 2020

Purpose
This study aims to discuss the growing use of RegTech solutions by financial institutions to comply more efficiently with regulation in terms of anti-money laundering compliance and more specifically its influence on the evolution of financial crime in the next ten years.

Design/methodology/approach
Based on two online Delphi surveys sent to a panel of international experts composed of eight specially recruited professionals and specialists of anti-financial crime compliance and RegTech, five main predictions have been developed.

Findings
It was found that artificial intelligence would become the most impactful technology for financial institutions to fight financial crime, and that there will be a strong positive correlation between ever-more elaborated compliance programs and the level of sophistication of methods used for money laundering. Furthermore, the panel designated regulators’ recommendations as likely to be less influential than RegTech solutions, and the time required to integrate RegTech solutions for AML compliance as the main future challenge.

Originality/value
These predictions are meant to provide financial institutions and regulators with useful outlooks. While the reviewed literature focused on the role of regulations on the evolution of money laundering, this study puts stress on RegTech solutions and their impact on both compliance and financial crime.
Investigating interdependencies of sustainable supplier selection criteria: an appraisal using ISM
Authors: Chauhan Avanish Singh , Badhotiya Gaurav Kumar , Soni Gunjan , Kumari Prem 
Published: May 2020

Purpose
Because of the increased global competition and the need for environment consciousness, organisations have started focusing on incorporating sustainability dimensions into suppler selection criteria. In the past decade, sustainable supplier selection has received much attention from researchers as well as industry practitioners. The purpose of this paper is to identify various sustainable supplier selection criteria (SSSC) and underlying interdependencies among prominent selection criteria to develop a framework for sustainability dimensions.

Design/methodology/approach
The sustainable criteria for supplier selection were established through comprehensive literature review. An interpretive structural modelling (ISM) approach is used to investigate the interrelationships among these criteria.

Findings
A total of 21 SSSC under 3 dimensions (social, environmental and economic) are established. Ten criteria related to quality, capability, flexibility, waste management, pollution prevention, local community, employment practice, labour, etc. are exhibiting strong driving as well as dependence power, as demonstrated through ISM and matriced’ impacts croises-multiplication applique’ and classement (MICMAC) analysis. The findings show that delivery/service, eco design and rights of stakeholders are the “key” criteria having a high-driving and low-dependence power. These criteria require high attention from managers, while other criteria having low-driving and high-dependence power require secondary actions.

Research limitations/implications
The inter-relations for the development of ISM model and MICMAC analysis were obtained through the opinion of industry experts and academicians, which may tend to be subjectively biased. Further exploration is proposed to statistically validate the developed interdependency model.

Practical implications
This paper might act as a reference for the supplier development managers of organisations by providing an appraisal of various SSSC based on their interdependencies.

Originality/value
This study contributes to the knowledge base by proposing a framework of the interrelationships of the SSSC and also provides an additional perspective for managing these criteria based on ISM.
Why can CSR seem like putting lipstick on a pig? Evaluating CSR authenticity by comparing practitioner and consumer perspectives
Authors: Diers-Lawson Audra , Coope Kerry , Tench Ralph 
Published: May 2020

Purpose
The purpose of this paper is to explain and better understand some of the challenges and even contradictions in relationships between CSR and stakeholder attitudes by comparing consumer and practitioner perspectives on social responsibility, its role in organisations and its influence on consumer attitudes towards companies. The objective is to understand and evaluate factors influencing the authenticity of social responsibility as a contributor to an organisation’s value proposition.

Design/methodology/approach
Focus groups of consumers and practitioners (N = 39) were asked to explore CSR in a semi-structured discussion. Themes were analysed using a constant comparative method.

Findings
These data suggest that rather than existing on a continuum of authenticity, there are clear paths emerging for CSR efforts to be deemed authentic versus inauthentic that can begin to better explain the often-contradictory findings with regard to consumer attitudes towards CSR and an organisation’s value proposition. Consumer efficacy to influence an organisation and localised CSR emerge as critical determinants for evaluations of CSR as authentic. Further, these data also suggest practitioners may not understand consumer motivations and attitudes about CSR.

Originality/value
These data provide new insights into evaluations of CSR to explain when and why it can fail to meet its objectives. Ultimately, these data produce testable models for authentic (i.e. motivator) and inauthentic (hygiene) consumer judgements about CSR and draw implications for CSR leadership, learning and management.