bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recognizing ragas of Carnatic genre using advanced intelligence: a classification system for Indian music
Authors: Kumaraswamy Balachandra , P G Poonacha 
Published: April 2020

PurposeIn general, Indian Classical Music (ICM) is classified into two: Carnatic and Hindustani. Even though, both the music formats have a similar foundation, the way of presentation is varied in many manners. The fundamental components of ICM are raga and taala. Taala basically represents the rhythmic patterns or beats (Dandawate et al., 2015; Kirthika and Chattamvelli, 2012). Raga is determined from the flow of swaras (notes), which is denoted as the wider terminology. The raga is defined based on some vital factors such as swaras, aarohana-avarohna and typical phrases. Technically, the fundamental frequency is swara, which is definite through duration. Moreover, there are many other problems for automatic raga recognition model. Thus, in this work, raga is recognized without utilizing explicit note series information and necessary to adopt an efficient classification model.Design/methodology/approachThis paper proposes an efficient raga identification system through which music of Carnatic genre can be effectively recognized. This paper also proposes an adaptive classifier based on NN in which the feature set is used for learning. The adaptive classifier exploits advanced metaheuristic-based learning algorithm to get the knowledge of the extracted feature set. Since the learning algorithm plays a crucial role in defining the precision of the raga recognition, this model prefers to use the GWO.FindingsThrough the performance analysis, it is witnessed that the accuracy of proposed model is 16.6% better than NN with LM, NN with GD and NN with FF respectively, 14.7% better than NN with PSO. Specificity measure of the proposed model is 19.6, 24.0, 13.5 and 17.5% superior to NN with LM, NN with GD, NN with FF and NN with PSO, respectively. NPV of the proposed model is 19.6, 24, 13.5 and 17.5% better than NN with LM, NN with GD, NN with FF and NN with PSO, respectively. Thus it has proven that the proposed model has provided the best result than other conventional classification methods.Originality/valueThis paper intends to propose an efficient raga identification system through which music of Carnatic genre can be effectively recognized. This paper also proposes an adaptive classifier based on NN.
Evaluation of the national research foundation-rated researchers’ output at a South African university
Authors: Bangani Siviwe , Onyancha Omwoyo Bosire 
Published: April 2020

Purpose
The purpose of this paper is to establish the research impact of the National Research Foundation (NRF)-rated researchers’ output at the North-West University (NWU), South Africa, from 2006 to 2017.

Design/methodology/approach
The study used bibliometrics and altmetrics methods to determine the production of research outputs and the impact of NWU’s NRF-rated researchers’ publications. Various tools including Google Scholar (GS), Web of Science (WoS), Scopus, ResearchGate (RG) and Mendeley were used to collect data. The citations in the three bibliographic databases were used as proxy for academic impact, while reads and readerships in RG and Mendeley were used to determine societal impact of the researchers. The Statistical Package for the Social Sciences (SPSS) was used to test the relationship between citations in the three bibliographic databases and reads and readerships in RG and Mendeley.

Findings
The main findings were that the majority of NWU’s NRF-rated researchers’ publications emanated from GS, followed by Scopus and then WoS. GS output also had more citations. There were 6,026 research outputs in RG which were read for 676,919 times and 5,850 in Mendeley with 142,621 readerships. Correlations between RG and all three bibliographic databases’ citations were scant. Strong relationships between the three bibliographic databases’ citations and Mendeley readerships were found.

Practical implications
Academic librarians who interact with researchers who would like to predict future academic impact of their documents can be advised to consider Mendeley readerships with some level of confidence compared to RG reads. These results point to the importance of constant self-evaluation by researchers to ensure that they have balanced profiles across the three main bibliographic databases that are also considered for ratings. These results point to the relevancy of GS to evaluate research beyond the academy.

Social implications
The fact that researchers are contributing research that seeks to improve the general welfare of the population (beyond the academy) is a positive sign as society look up to researchers and research to solve their socio-economic problems. Social media play an important role as they serve as indicators that indicators point to wider research impacts and wider access by many different groups of people including the members of society at large. They point to research that is accessible to not only researchers and those who have access to their research but also the society at large.

Originality/value
Although the practice of rating researchers is common in different research ecosystems, the researchers could not find any evidence of studies conducted using a combination of bibliometrics and altmetrics to asses rated researchers’ output. This study covers and compares social impact based on data obtained from two academic social media sites and three main bibliographic databases (GS, Scopus and WoS).
How multiple large shareholders affect bank profitability under the dispersion and the coalition hypotheses? An insight from the MENA region
Authors: Boussaada Rim , Hakimi Abdelaziz 
Published: April 2020

PurposeThe aim of this paper is to examine whether multiple large shareholders and their interactions affect bank profitability in the MENA region.Design/methodology/approachTo achieve this goal, we used a sample of conventional banks in the MENA region observed during the period 2004–2015. We performed the System Generalized Method of Moment as the empirical approach.FindingsEmpirical results indicate that under the dispersion hypothesis, multiple large shareholders (MLS) tend to reduce bank profitability for both return on assets (ROA) and return on equity (ROE). However, under the alignment of interests’ hypothesis, coalition between the first and the second largest shareholder increases bank profitability only for ROA. We also find that an additional large shareholder, beyond the two largest, reduces bank return equity.Originality/valueTo the best of our knowledge, to date, there is no study that investigates the effect of MLS and the bank profitability in the MENA region. Indeed, this study shows the importance of considering ownership composition among large shareholders in banking studies.
Employee engagement in small and medium-sized enterprises in Thailand: the construction and validation of a scale to measure employees
Authors: Na-Nan Khahan , Pukkeeree Peerapong , Chaiprasit Kanokporn 
Published: April 2020

PurposeEmployee engagement (EE) is an expression of a person's own preferred task behaviours that promote their relationship with work and personal physical, cognition and emotion and make them more active in terms of vigour, dedication and level of absorption with their work. To deal with EE in different environments and organisations, it is necessary to both understand and continually assess their employees. This paper presents an instrument which was developed to measure EE for small and medium-sized enterprises (SMEs) in Thailand.Design/methodology/approachThe study was conducted in three stages to develop an EE measurement scale. To begin with, 18 questions were developed for a questionnaire based on the concepts of EE and validated using exploratory factor analysis (EFA) which is split into the dimensions of vigour, dedication and absorption. A survey was then conducted with 270 employees in SMEs. Finally, confirmatory factor analysis (CFA), convergence and validity were tested along the three engagement dimensions.FindingsThis research extended and broadened the EE concept to provide theoretical support for engaging with intelligence research. Three dimensions were developed to measure EE, including aspects of vigour, dedication and absorption with their work.Research limitations/implicationsThe questionnaire used was produced primary data collection which was self-assessed, and data was collected only from the sample of employees working for SMEs in high-growth sectors of the Thai economy. The EE findings exhibited a good fit, but the results require further future refinement and validation using a larger sample size and sampling area.Practical implicationsThe EE questionnaire has practical uses for monitoring management behaviour and can assist practitioners to assess the level of EE. This knowledge will help to encourage and support practitioners to improve EE. This research also provides other measurements for assessing EE in organisations.Originality/valueThe EE questionnaire validity will facilitate future studies on the boundaries of EE measurements in the context of SMEs. The empirical research results verified that EE assessment offered new perspectives to explore vital individual EE which is necessary for SMEs. This instrument can also support and help researchers to effectively understand EE and explore its potential in future studies.
International marketing agility: conceptualization and research agenda
Authors: Gomes Emanuel , Sousa Carlos M.P. , Vendrell-Herrero Ferran 
Published: April 2020

PurposeThe aim of this paper is to conceptualize the notion of international marketing agility.Design/methodology/approachThe approach adopted is to review and create a synopsis of the existing body of research on strategic agility and develop a conceptualization on how international marketing agility (IMA) should be analyzed.FindingsInternational marketing agility is an emerging concept driven largely by rapid changes in global markets. There is a growing need for exporting SMEs and multinational enterprises to consider IMA as a means of building competitive advantage in foreign markets.Research implications/limitationsWhile the conceptual development presented in this paper is not exhaustive, our model highlights important research avenues in IMA that need exploring.Originality/valueThis article examines an emerging concept in international marketing that serves as a platform to cope with the changes taking place in this fast-changing global environment. A framework is proposed where we conceptualize IMA as a process triggered by agile logic (a nonconformist and open mental stance) and facilitated by agile learning (being able to search and interpret data), to cause agile actions (being able to commit, co-ordinate and respond quickly with flexibility to ever-changing conditions).
Curvilinear performance effects of social cyberloafing out of class: the mediating role as a recovery experience
Authors: Wu Jinnan , Mei Wenjuan , Ugrin Joseph , Liu Lin , Wang Fang 
Published: April 2020

PurposeThe purpose of this study is to investigate whether Chinese college students' social cyberloafing out of class has a curvilinear effect on academic performance and whether students' levels of psychological detachment and relaxation mediate the effect.Design/methodology/approachA field survey was used to collect 502 self-reported responses from student Internet users at a large university located in central China.FindingsThe results show an inverted U-shaped relationship between social cyberloafing out of class and academic performance. Two types of effort recovery experience gained from social cyberloafing, psychological detachment and relaxation, mediate that effect. Students' social cyberloafing out of class is positively associated with psychological detachment and relaxation, which in turn, have opposite effects on academic performance.Practical implicationsThis study offers novel insights into the effects of social cyberloafing on college students' academic achievement. The findings illustrate how social cyberloafing can serve as a recovery experience and improve academic performance, but it can hinder performance if the cyberloafing is excessive.Originality/valueThis study extends the cyberloafing literature by focusing on Chinese college students' cyberloafing out of class. The study finds that a moderate amount of social cyberloafing out of class can result in psychological detachment, relaxation and improved performance when returning to academic work. However, both too much or too little social cyberloafing can result in difficulty returning to academic work and reduced academic performance. The findings are novel to the cyberloafing literature.
Cassava attractiveness in Nigeria: a policy improvement approach
Authors: Inegbedion Henry Egbezien , Inegbedion Emmanuel Edo , Obadiaru Eseosa David , Asaleye Abiola John , Ayeni Adebanji , Aremu Charity 
Published: April 2020

PurposeThe study examined policy improvement and cassava attractiveness. The purpose was to determine the optimum rewards using three strategies: selling of farm produce to harvesters, making wholesale of harvested outputs and retailing harvested outputs.Design/methodology/approachThree hundred and sixty (360) cassava farmers were surveyed in three local government areas in Edo South senatorial district of Nigeria. From their responses, probabilities were assigned to rewards for each strategy from each of the locations. Subsequently, dynamic programming was employed in data analysis. Specifically, Howard policy improvement technique was used to forecast expected rewards to cassava farmers in the three local government areas using the three strategies.FindingsCassava farmers in Edo South senatorial district of Edo state, Nigeria, can maximize their earnings from cassava by retailing at the local markets in Oredo and Egor local government areas and by making wholesales at Ikpoba Okha local government area. Using this policy, they will realize approximately N2360 per basin and approximately N33040 per plot of 100 × 100 ft. This will translate to N143724 per acre (4.35 plots of 100 ft2).Research limitations/implicationsAvailability of storage facilities as well as technical constraints to cassava production.Social implicationsProvision of jobs to the unemployed, thereby reducing the level of unemployment in the country.Originality/valueSuggestion of the sales strategy that will yield optimum returns to cassava farmers, using policy iteration technique, and the projected estimates of the likely turnover when the strategy is adopted. This is a point of departure from previous studies. Thus, the study used operations research methodology to model solutions, through involvement in agriculture, to Nigeria's economic/financial problems, thus making it unique. In broad terms the study demonstrates that investment in agriculture will help to reduce unemployment and enhance the country's national income.
Farmer participation in the lychee value chain in Bac Giang province, Vietnam
Authors: Nguyen Dung Dac , Le Tu Minh , Kingsbury Aaron John 
Published: April 2020

PurposeThe purpose of this paper is to assess the impact level of six factors that condition participation in value chain of lychee growers in the Luc Ngan District of Bac Giang Province in Vietnam. This contributes to the literature on value chain development through the exploration of the case of an agriculturally based primary industry in the global south. Specifically, it analyzes the impacts of several factors on the participation of lychee fruit farmers in the attributed value chain of Bac Giang Province in the north of Vietnam to identify salient points of policy intervention.Design/methodology/approachData for this study were collected from a survey of 270 lychee farmers in three districts of Bac Giang Province. Six factors, including the trust level of the participants, partner capacity, geographical distance between participants, collaborative culture, participation strategy and existence of specific government policies, were analyzed through a Kaiser–Meyer–Olkin (KMO) test, Cronbach’s alpha and the exploratory factor analysis (EFA) method to evaluate the reliability of the factors and suitability of the model. A regression analysis was then used to evaluate the impact level of each element on the collaboration of farmers in the chain.FindingsThe results show that each of the six factors has significant impacts on farmer participation and the resulting chain thickness. Although the findings of this study are drawn from the case of lychee farmers in the north of Vietnam, they are argued to be transferable to other countries with rapidly growing middle-income economies.Research limitations/implicationsThe research conclusions are based on only the opinions of surveyed lychee growers in Luc Ngan District, Bac Giang Province. Similarly, this paper only explores six factors influencing participation in the value chain. Additional factors, including age, have not been used in this study and are suggested avenues for future research.Originality/valueThe paper suggests that policy makers on the local and regional levels in Vietnam reassess their focus and center these six factors as precursory conditions to improving local and regional economic development. Implications for other peripheral regions with agricultural production across the global south are also posited.
Minimum price policy impact in the Tunisian dairy sector
Authors: Abbassi Abdessalem , Dakhlaoui Ahlem , Tamini Lota D. 
Published: April 2020

PurposeThe purpose of this paper is to develop a partial equilibrium model for the Tunisian dairy sector according to “quantity formulation” and “price formulation” and to show their equivalence under the assumption of perfect competition.Design/methodology/approachThis model incorporates domestic policies, that is, producers' price support and subsidies to milk collection centres and trade policies, that is, TRQ and ad valorem tariffs. The authors illustrate theoretically and numerically how to incorporate the minimum price policy at the farm level for the Tunisian dairy sector according to the price formulation approach.FindingsTwo scenarios for the removal of a minimum price policy are analysed and show that producers' surplus loss varies between 78.6 and 127.8 million dinars. The overall welfare implications of removing a minimum price policy are negative and range between 13.3 and 18.2 million dinars.Research limitations/implicationsThis study could not include all of the detailed factors in the Tunisian dairy sector.Originality/valueBased on the numerical results obtained in the study, the authors recommend that public authorities maintain the minimum price policy because it prevents a decrease in raw milk producers' surplus. Moreover, this policy is effective because it generates excess raw milk production, estimated at 28.23% in 2010, that can be used for various homemade dairy products. Under an effective minimum price policy, the formal processing sector absorbs all the excess raw milk only if the public authorities allocate grants to encourage investment in new milk collection centres and in milk drying equipment, especially in disadvantaged rural regions. The latter economic policy coupled with a minimum price policy not only guarantees a higher income for raw milk producers but also may represent a development factor for underprivileged rural areas.
Investigating the price volatility transmission mechanisms of selected fresh vegetable chains in Greece
Authors: Rezitis Anthony N. , Pachis Dimitrios N. 
Published: April 2020

PurposeThis paper attempts to model the transmission of volatility between producer and consumer prices in the fresh potato, tomato, and cucumber markets in Greece.Design/methodology/approachThe transmission mechanism of the price volatility is modeled using the most popular multivariate GARCH models while taking into consideration possible asymmetries in the transmission process. The models utilized are the DVECH and the BEKK models from the VECH family, as well as the CCC model and the DCC model from the family of conditional correlation models. The possible asymmetric effects are evaluated using asymmetric GARCH models, as well as estimating volatility impulse responses for independent shocks.FindingsThe results reveal that, in the tomato and cucumber markets, which are regulated by the Common Market Organization of fruits and vegetables, producers are less vulnerable to volatility shocks transmitted from consumers. In contrast, in the non-regulated potato market, producers are affected by spillover effects from consumers.Research limitations/implicationsThis study is limited to a few commodities (i.e. potatoes, tomatoes, and cucumbers); however, it could be extended to additional commodities.Practical implicationsThe results of this study show that, if producers are organized on a cooperative basis within the regulative framework of the CAP, like the tomato and cucumber producers, their place in the food supply chain is strengthened, although the CAP targets more market-oriented agricultural markets that are more exposed to world prices.Originality/valueThe present study attempts to understand the transmission of volatility between producer and consumer prices in the fresh potato, tomato, and cucumber markets in Greece, which is not apparent from previous studies. Furthermore, the volatility clusters that are identified in the present study are associated with certain CAP reforms.
From cognition to action: the effect of thought self-leadership strategies and self-monitoring on adaptive selling behavior
Authors: Alnakhli Hayam , Singh Rakesh , Agnihotri Raj , Itani Omar S. 
Published: April 2020

Purpose
This study aims to investigate salespersons’ self-monitoring and its effect on adaptive selling behavior. As salespeople are constantly facing different customers with various needs and want and engaging in a different sales situation, salespeople must deploy their inner capabilities in practicing adaptive selling behavior during and across sales interactions. This study also investigates the impact of salesperson’s intrapersonal leadership – where leadership stems from the individuals with the purpose to influence oneself.

Design/methodology/approach
Authors draw on the social cognitive theory of self-regulation to develop our model and examine the relationship between self-monitoring, thought self-leadership and adaptive selling behavior. We empirically test the model using data from 335 pharmaceutical salespeople working across several countries in Asia.

Findings
The results support the role of self-monitoring and thought self-leadership as antecedents to adaptive selling. Further, the results suggest that self-monitoring positively moderates the relationship between thought self-leadership and adaptive selling behavior. In light of these results, we explore implications and limitations and conclude by suggesting directions for further research.

Research limitations/implications
The sampling method used was convenience sampling, which may limit the theoretical generalization of our results across all emerging markets. Moreover, this study examines the direct impact of self-management mechanism on adaptive selling behavior and the way it interacts with salesperson's thought self-leadership to strengthen adaptive selling behavior. However, the research model does not include organization-level drivers.

Originality/value
This study makes an important and original contribution to sales literature by demonstrating the direct and interaction effects of self-monitoring mechanism on a critical component of a business to business sales process, adaptive selling behavior. Results from this study highlight the critical importance of cognitive processes that drives positive selling behavior.