bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic reconfiguration of functional subgraphs after musical training in young adults
Authors: Li Qiongling , Wang Xuetong , Wang Shaoyi , Xie Yongqi , Xie Yachao , Li Shuyu 
Published: May 2019

AbstractThe human brain works in a form of network architecture in which dynamic modules and subgraphs were considered to enable efficient information communication supporting diverse brain functions from fixed anatomy. Previous study demonstrated musical training induced flexible node assignment changes of visual and auditory systems. However, how the dynamic subgraphs change with musical training still remains largely unknown. Here, 29 novices healthy young adults who received 24-week piano training, and another 27 novices without any intervention were scanned at three time points—before and after musical training, and 12 weeks after training. We used nonnegative matrix factorization to identify a set of subgraphs and their corresponding time-dependent coefficients from a concatenated functional network of all subjects in sliding time windows. The energy and entropy of the time-dependent coefficients were computed to quantify the subgraph’s dynamic changes in expression. The musical training group showed significantly increased energy of time-dependent coefficients of 3 subgraphs after training. Furthermore, one of the subgraphs, comprised of primary functional systems and cingulo-opercular task control and salience systems, showed significantly changed entropy in the training group after training. Our results suggest that interaction of functional systems undergoes significant changes in their fine-scale dynamic after a period of musical training.Author SummaryWe designed a longitudinal experiment to investigate the musical training induced dynamic subgraph changes in 29 novice healthy young adults before and after musical training compared with another 27 novice participants who were evaluated longitudinal but without any intervention. The nonnegative matrix factorization was employed to decompose the constructed dynamic functional connectivity matrix to a set of subgraphs and their corresponding time-dependent coefficients. We found that functional systems interacted closely with each other during transient process, and the musical training group showed significantly increased energy and entropy of time-dependent coefficients after training when compared with the control group. The present study suggests that musical training could induce the reconfiguration of functional subgraphs in young adults.
Entrepreneurial intentions
Authors: Farrukh Muhammad , Lee Jason Wai Chow , Sajid Muhammad , Waheed Abdul 
Published: May 2019

Purpose
Culture plays a vital role in shaping individuals’ intentions and behaviour. Influence of cultural values on entrepreneurship has been acknowledged widely by academics and practitioners. However, little in terms of empirical results is known. Thus, the purpose of this paper is to investigate the effect of cultural values on entrepreneurial intentions (EI) of Pakistani students.

Design/methodology/approach
Cultural values of individualism and collectivism were incorporated into the theory of planned behaviour (TPB). Smart-PLS software was used to run a structural equation modelling (SEM) technique to analyse the data.

Findings
SEM results showed that attitudes towards entrepreneurship and perceived behavioural controls (PBC) mediated the relationship between individualism and EI while subjective norms (SN) mediated the relationship between collectivism and EI.

Originality/value
The study confirms the applicability of the TPB for understanding the EI in a collectivist culture. Additionally, findings of this study displayed that external factors, such as cultural values, can impact EI through SN, attitude and PBC. Incorporation of cultural values in TPB contributed to the understating of antecedents of EI.
Analysis of novel FAGM(1,1,tα) model to forecast health expenditure of China
Authors: Wu Wenqing , Ma Xin , Zhang Yuanyuan , Wang Yong , Wu Xinxing 
Published: May 2019

PurposeThe purpose of this paper is to study a fractional grey model FAGM(1,1,tα) based on the GM(1,1,tα) model and the fractional accumulated generating operation, and then predict the national health expenditure, the government health expenditure and the out-of-pocket health expenditure of China.Design/methodology/approachThe presented univariate grey model is systematically studied by using the grey modelling technique, the fractional accumulated generating operation and the trapezoid approximation formula of definite integral. The optimal system parametersrandαare evaluated by the particle swarm optimisation algorithm.FindingsThe expressions of the time response function and the restored values of this model are derived. The GM(1,1), NGM(1,1,k,c) and GM(1,1,tα) models are particular cases of the FAGM(1,1,tα) model with deterministicrandα. Compared with other forecasting models, the results of the FAGM(1,1,tα) model have higher precision.Practical implicationsThe superiority of the new model has high potential to be used in the medicine and health fields and others. Results can provide a guideline for government decision making.Originality/valueThe univariate fractional grey model FAGM (1,1,tα) successfully studies the China’s health expenditure.
Application of grey prediction model to the prediction of medical consumables consumption
Authors: Shen Xuejun , Yue Minghui , Duan Pengfei , Wu Guihai , Tan Xuerui 
Published: May 2019

PurposeBased on the prediction of the consumption of medical materials, the purpose of this paper is to study the applicability of the grey model method to the field and its predicted accuracy.Design/methodology/approachThe ABC classification method is used to classify medical consumables and select the analysis objects. The GM (1,1) model predicts the annual consumption of medical materials. The GM (1,1) modeling of the consumption of the selected medical materials in 2006~2017 was carried out by using the metabolite sequence and the sequence topology subsequence, respectively. The average rolling error and the average rolling accuracy are calculated to evaluate the prediction accuracy of the model.FindingsThe ABC classification results show that Class A projects, which account for only 9.79 percent of the total inventory items, occupy most of the inventory funds. Eight varieties with varying purchases and usages and complete historical data were selected for further analysis. The subsequence GM(1,1) model group constructed by two different methods predicts and scans the annual consumption of eight kinds of medical materials, and the rolling precision can reach more than 90 percent.Originality/valueThe metabolic GM (1,1) model is an ideal predictive model that can meet the requirements for a short-term prediction of medical material consumption (Zhang et al., 2014). The GM (1,1) model is more suitable for a short-term prediction of medical material consumption with less data modeling.
Influence of time delay on weighted pseudo-almost periodic dynamics in SICNNs
Authors: Xu Changjin , Liao Maoxin , Li Peiluan 
Published: May 2019

PurposeThe purpose of this paper is to investigate the weighted pseudo-almost periodic solutions of shunting inhibitory cellular neural networks (SICNNs) with time-varying delays and distributed delays.Design/methodology/approachThe principle of weighted pseudo-almost periodic functions and some new mathematical analysis skills are applied.FindingsA set of sufficient criteria which guarantee the existence and exponential stability of the weighted pseudo-almost periodic solutions of the considered SICNNs are established.Originality/valueThe derived results of this paper are new and complement some earlier works. The innovation of this paper concludes two points: a new sufficient criteria guaranteeing the existence and exponential stability of the weighted pseudo-almost periodic solutions of SICNNs are established; and the ideas of this paper can be applied to investigate some other similar neural networks.
Projectification of sustainable development: implications from a critical review
Authors: Cerne Annette , Jansson Johan 
Published: May 2019

PurposeIn this paper, the authors challenge traditional views of project management and sustainable development as purportedly complementing each other. Rather, the authors apply a projectification perspective from a multi-disciplinary approach to sustainable development. The purpose of this paper is to demonstrate how we can better understand the interface between projects and sustainable development through the study of its practices.Design/methodology/approachThe authors do this by outlining the global and the local dimensions of sustainable development as a business objective. For that reason, the authors also make a distinction between sustainability in projects and sustainable development through project coordination.FindingsFrom the framing of sustainable development as projectification, the authors contribute with a set of research implications on how to proceed towards a better understanding of sustainable development through project coordination.Originality/valueThe paper contributes to a growing field of interest regarding the interfaces between project management and sustainable development.
Good faith in franchising
Authors: Perrigot Rozenn , Terry Andrew , Lernia Cary Di 
Published: May 2019

PurposeThe relational nature of franchising flowing from the contract between franchisor and franchisee which enshrines a close, continuing relationship raises the issue of good faith. While there are academic papers analyzing good faith, these do not capture the practical understanding and expression of the concept and the manner and application in which it operates in the real world of franchising. The purpose of this paper is to assess how good faith is defined and understood by franchise practitioners – franchisees, franchisors and their legal advisors.Design/methodology/approachThe authors have adopted a qualitative approach by conducting and analyzing a series of 18 in-depth interviews with franchisees, franchisors and lawyers specializing in franchising.FindingsThe findings show that good faith is particularly important in franchising because of the disparity in the knowledge and power of the parties. They suggest that good faith is not only a legal notion but also a notion that is linked to the personal relationship between the franchisor and its franchisees. It then plays an important role in terms of management of this relationship and of the system as a whole. Moreover, they demonstrate that there is not one single shared understanding of good faith amongst franchising practitioners. Indeed, franchisees, franchisors and specialist franchise lawyers suggested that good faith can refer to transparency, trust, loyalty, fairness and equity amongst the franchisees, fair play, frankness, respect, ethics, kindness, “best efforts” and personalities.Originality/valueThe originality of the research lies in the fact that good faith is examined through the voice of franchising practitioners who explain how they define and understand good faith rather than through a detached academic lens.
Experimental investigation of mechanical properties and physical characteristics of concrete under standard fire exposure
Authors: Thanaraj Daniel Paul , N. Anand , Arulraj Prince 
Published: May 2019

Purpose
This paper aims to explain the influence of Standard Fire as per ISO 834 on the strength and microstructure properties of concrete specimens with different strength grade.

Design/methodology/approach
The strength grades of concrete considered for the experimental investigation were Fck20, Fck30, Fck40 and Fck50. The specimens were heated up to 1, 2, 3 and 4 h as per standard fire curve. Effect of elevated temperature on compressive and flexural behavior of specimens with various strength grades was examined. Effects of age of concrete, weight loss, surface characteristics and thermal crack pattern were also investigated.

Findings
Experimental investigation shows that strength grade, duration of exposure and age of concrete are the key parameters affecting the residual strength of concrete. For the beams exposed to 3 and 4 h of heating, the residual flexural strength was found to be so insignificant that the specimens were not able to even sustain their own weight. The loss in compressive and flexural strength of Fck50 concrete specimens heated up to 1 h were found to be 26.41 and 86.03 per cent of the original unheated concrete, respectively. The weight loss was found to be more for higher grade concrete specimens, and it was about 8.38 per cent for Fck50 concrete. Regression analysis was carried out to establish the empirical relation between residual strength and grade of concrete. Scanning electron microscopy and thermogravimetric analysis were carried out to examine the damage level of fire-affected concrete specimens.

Originality/value
Empirical relationship was developed to determine the residual strength of concrete exposed to elevate temperature, and this will be useful for design applications. This database may be useful for identifying member strength of reinforced beams subjected to various durations of heating so that suitable repair technique can be adopted from the available database. It will be useful to identify the proper grade of concrete with regard to fire endurance, in the case of concrete under compression or flexure.
Disruptive processes and skills mismatches in the new economy
Authors: Cukier Wendy 
Published: May 2019

Purpose
Analysts predict that disruptive technologies, such as artificial intelligence, will have a monumental impact on the world of work in the coming decades, exacerbating existing skills gaps faster than education systems can adapt. This paper aims to review research on the forecasted impact of technology on labour markets and skill demands over the near term. Furthermore, it outlines how social innovations and inclusion can be leveraged as strategies to mitigate the predicted impact of disruptive technologies.

Design/methodology/approach
The paper engages in an overview of relevant academic literature, policy and industry reports focussing on disruptive technologies, labour market “skills gaps” and training to identify ongoing trends and prospective solutions.

Findings
This paper identifies an array of predictions, made in studies and reports, about the impact of disruptive technologies on labour markets. It outlines that even conservative estimates can be expected to considerably exacerbate existing skills gaps. In turn, it identifies work-integrated learning and technology-enabled talent matching platforms as tools, which could be used to mitigate the effects of disruptive technologies on labour markets. It argues that there is a need for rigorous evaluation of innovative programmes being piloted across jurisdictions.

Research limitations/implications
This paper focusses on these dynamics primarily as they are playing out in Canada and similar Western countries. However, our review and conclusions are not generalizable to other regions and economies at different stages of development. Further work is needed to ascertain how disruptive technologies will affect alternative jurisdictions.

Social implications
While “future of work” debates typically focus on technology and deterministic narratives, this paper points out that social innovations in training and inclusive technologies could prove useful in helping societies cope with the labour market effects of disruptive technologies.

Originality/value
This paper provides a state-of-the-art review of the existing literature on the labour market effects of novel technologies. It contributes original insights into the future of work debates by outlining how social innovation and inclusion can be used as tools to address looming skills mismatches over the short to medium term.
Green human resource management in Indian automobile industry
Authors: Chaudhary Richa 
Published: May 2019

Purpose
This paper aimed to examine the status of implementation of green human resource management (GHRM) practices in Indian automobile Industry. Specifically, the level of implementation of five GHRM practices: green recruitment and selection, green training and development, green performance management, green compensation and rewards and green employee involvement was assessed. In addition, an attempt was made to understand how various GHRM practices influence the task-related and voluntary green performance behaviors of employees.

Design/methodology/approach
Data were collected from employees working in automobile industries in India. In all, 91 employees working at various hierarchical levels in the organizations responded to the survey. SPSS 24 was used for the purpose of data analysis.

Findings
The results indicate very low level of implementation of various GHRM practices in the sampled automobile organizations. Among the five GHRM practices, the average score for only green training and development and green employee involvement could reach 3. The lowest scores were found for green performance management and green compensation and rewards. Further, all five GHRM practices were found to significantly predict the task-related and voluntary employee green behaviors.

Practical implications
The findings by providing empirical evidence on the positive association of GHRM practices with employee green behaviors carry significant implications for practicing managers in automobile industry in terms of providing incentives for integrating HRM practices with the environment management systems in the organization.

Originality/value
This paper is one of the pioneer attempts to assess and report the extent of implementation of GHRM practices in Indian automobile industry. This paper also contributes to the limited theoretical literature available on GHRM by empirically investigating its linkage with green performance behaviors of employees.
Intellectual capital and firm performance: an extended VAIC model
Authors: Bayraktaroglu Ayse Elvan , Calisir Fethi , Baskak Murat 
Published: May 2019

Purpose
The purpose of this paper is to propose an extended and modified value-added (VA) intellectual coefficient (VAIC) model, which includes intellectual capital (IC) components which were missing in the original VAIC approach. The proposed model has been used to explore the relationship between IC and firm performance for Turkish manufacturing firms on a more detailed level.

Design/methodology/approach
Multiple regression analysis has been employed to identify the IC components, which predict the performance of the firm and the moderating effect of some IC components on IC components–firm performance relationship. Data are required to calculate the IC components, and firm performance variables have been obtained from the financial reports of the Turkish manufacturing firms for the period 2003–2013.

Findings
According to the results for Turkish manufacturing sector innovation capital efficiency has a moderating effect on the relationship between structural capital efficiency (SCE) and profitability, meaning, depending on an increase in R&D expenses, the effect of SCE on profitability also increases. On the other hand, it has been found that innovation capital efficiency has a direct impact on firms’ productivity. The results also showed that IC efficiency components have a moderating role on the relationship between capital employed efficiency and profitability.

Research limitations/implications
There might be a time lag until the effect of R&D investments can be observed in firms’ performance. However, this lagged impact of innovation capital and also other IC components on future firm performance has not been investigated due to concerns related to sample size.

Originality/value
The proposed model differs from the original VAIC model in three ways: it, namely, includes two additional IC components, customer capital (CC) and innovation capital. It explores the moderating effect of innovation capital on structural capital–firm performance relationship and the moderating effect of IC components on employed capital–firm performance relationship. As the last difference, it proposes an alteration in the VA calculation due to newly added IC components, CC and innovation capital.
The marketing organization’s journey to become data-driven
Authors: Johnson Devon S. , Muzellec Laurent , Sihi Debika , Zahay Debra 
Published: May 2019

Purpose
This paper aims to improve understanding of data-driven marketing by examining the experiences of managers implementing big data analytics in the marketing function. Through a series of research questions, this exploratory study seeks to define what big data analytics means in marketing practice. It also seeks to uncover the challenges and identifiable stages of big data analytics implementation.

Design/methodology/approach
A total of 15 open-ended in-depth interviews were conducted with marketing and analytics executives in a variety of industries in Ireland and the USA. Interview transcripts were subjected to open coding and axial coding to address the research questions.

Findings
The study reveals that managers consider marketing big data analytics to be a series of tools and capabilities used to inform product innovation and marketing strategy-making processes and to defend the brand against emerging risks. Additionally, the study reveals that big data analytics implementation is championed at different organizational levels using different types of dynamic learning capabilities, contingent on the champion’s stature within the organization.

Originality/value
From the qualitative analysis, it is proposed that marketing departments undergo five stages of big data analytics implementation: sprouting, recognition, commitment, culture shift and data-driven marketing. Each stage identifies the key characteristics and potential pitfalls to be avoided and provides advice to marketing managers on how to implement big data analytics.
Impacts of knowledge sharing: a review and directions for future research
Authors: Ahmad Farhan , Karim Muhaimin 
Published: May 2019

PurposeKnowledge sharing contributes to the success of an organization in various ways. This paper aims to summarize the findings from past research on knowledge-sharing outcomes in organizations and to suggest promising directions for future research.Design/methodology/approachThere was a conduction of a systematic literature review that consisted of three main phases: defining a review protocol, conducting the review and reporting the review. The thematic analysis was conducted on 61 studies, based on which a framework for understanding the impacts of knowledge sharing was developed.FindingsPrevious research has investigated knowledge-sharing outcomes at three levels: the individual, team and organization; specific impacts are summarized for each level. The most commonly studied factors affected by knowledge sharing are creativity, learning and performance. Knowledge sharing is also found to have some beyond-convention work-related impacts, such as those on team climate and employees’ life satisfaction. Research on the outcomes of knowledge sharing is dominated by quantitative studies, as we found only one qualitative study in this review. Based on the discussion of the results, promising avenues for further research were identified and a research agenda was proposed. More research on differential, psychological and negative impacts, as well as interactional and methodological aspects of knowledge-sharing, is suggested.Originality/valueTo date, no systematic review has been conducted on the impacts of knowledge-sharing. This paper makes an important contribution to knowledge-sharing research, as it consolidates previous research and identifies a number of useful research topics that can be explored to advance the field, as well as to establish the evidence-based importance of knowledge sharing.