bluuebunny/crossref_metadata_2025_split huggingface dataset:
Supporting youths to continue further education in emerging nations: food for education intervention or education for food policy?
Authors: Alam Gazi Mahabubul , Sulaiman Tajularipin 
Published: July 2021

PurposeFood security for students is very important if they are to achieve both quantitative and qualitative success in their education and later career. Consequently, “food for education (FFE)” intervention is provided for poorer students who are in primary school in many developing countries. This has helped to achieve the objective of universal education. In absence of a food security programme from the secondary provision, students from poorer families are forced to discontinue their education. For this reason, the success of FFE intervention has been criticised as unsustainable. This paper aims to explore a food security model that can lead to the sustainable development of education in developing nations.Design/methodology/approachThis qualitative study collected primary data from students who were being educated in Bangladesh and receiving “FFE” intervention. In total, 576 respondents (equal number of boys and girls) were selected from six schools located in urban and rural areas. Secondary data were accessed from the archives of the Bangladesh Bureau of Educational Information and Statistics (BANBEIS) and the World Bank. The paper adopts a descriptive analysis method for primary and secondary sources to report the findings.FindingsFree schooling supported by “FFE” intervention is the key to achieving education for all (EFA) targets. Since its inception, 93% of students who received an FFE intervention have at least completed their primary school education. The success of FFE has encouraged the government to provide a massive intervention strategy which began in 2011. This helped to achieve the EFA target. Despite this success and while nearly 18% of FFE-intervened graduates have completed their secondary education, none went to higher secondary school, let alone tertiary level. The lack of food security was the main reason for youths not continuing with their further education.Originality/valueThe “FFE” programme may work well for children who are being educated since they do not shoulder any family responsibility. In reality, teenagers and adults in emerging nations should devote themselves to ensuring there is enough food for their families. This research presents a new policy option, labelled as “education for food (EFF)”, in order to retain this group in the education system. Being an advocacy model, this may trigger a discourse on how to create a balanced society where both hunger and education are taken care of and problems are solved.
Perceptions of barriers to innovate in Colombian manufacturing firms: an analysis by technological intensity
Authors: Pertuz Vanessa , Miranda Luis Francisco 
Published: July 2021

Purpose
The purpose of this study is to investigate the factors that impede innovation in Colombian manufacturing firms, as measured by the level of technological intensity.

Design/methodology/approach
The authors used data from 1,850 firms to determine the barriers associated with information and internal capabilities, risks and environment.

Findings
The main results of this study confirm that potentially innovative firms of low technological intensity are more likely to ascribe high importance to obstacles associated with information and internal capabilities, when compared with innovative firms. The abandonment of innovative projects, family-operated enterprises and investment in R&D are all related to an increased perception of obstacles to innovation, while investments in information and communication technologies have an opposite effect. Variables as partnerships and export behaviour, have different effects depending on the level of technological intensity.

Originality/value
This study investigates the obstacles to innovation of a firm as determined by its characteristics and as measured against its level of technological intensity. Previous studies have investigated barriers to innovation in technologically advanced sectors (Lachman and López, 2019) and technology-based SMEs (De Moraes Silva et al. 2020) or how the technological intensity of the firm determines access to university knowledge for overcoming barriers (Kanama and Nishikawa, 2017). The only study to analyse barriers to innovation by measuring a firm’s technological intensity was conducted into Mexican manufacturing and services sector companies by Santiago et al. (2017).
Democracy, digitisation and public libraries
Authors: Skøtt Bo 
Published: July 2021

Purpose
The purpose of this paper is to investigate what democratic challenges the digitisation of the public libraries in Denmark has entailed. Using the concepts from a national library professional strategy from 2012, an analysis of 9 librarians’ experiences with digital dissemination in practice is conducted.

Design/methodology/approach
The paper is a part of a larger research project called “If digitisation is the answer, then what was the question?”. This sub study builds on the semi-structured interviews with library staff members, case-descriptions of two central providers of digital public library materials, as well as literature studies of missions, vision and strategies from different public library policy institutions. To frame the study, a literature review has been conducted.

Findings
The author detects the presence of several incompatible conditions in digital dissemination. These conditions are predominantly of an organisational nature, potentially containing major consequences for citizens’ free and equal access to information, knowledge and culture. Among other things, the Danish public libraries risk substantiating an already existing and problematic polarisation between technologically capable and incapacitated groups of people.

Originality/value
The digital transformation of society has only just begun. Therefore, it is important to examine the consequences of the transition to digital media types for central cultural institution such as the public libraries. The present study is an early and minor contribution to the illumination of a process requiring many more and large-scale studies.
Shape effect of nanoparticles on MHD nanofluid flow over a stretching sheet in the presence of heat source/sink with entropy generation
Authors: Berrehal Hamza , Sowmya G. , Makinde Oluwole Daniel 
Published: July 2021

Purpose
In heat transfer, fluids and nanoparticles can provide new innovative technologies with potential to adapt the heat transfer fluid’s thermal properties through control over particle size, shape and others. This paper aims to examine the effects of spherical and non-spherical (cylinder, disk, platelets, etc.) shapes of silver (Ag) nanoparticles on heat transfer enhancement and inherent irreversibility in hydromagnetic water base nanoliquid flow over a convectively heated stretching sheet with heat generation/absorption.

Design/methodology/approach
Applying suitable similarity constraints, the model partial differential equations are transformed into a set of nonlinear ordinary differential equations. Solutions are obtained analytically via optimal homotopy asymptotic method (OHAM) and numerically via shooting technique coupled with the Runge-Kutta-Fehlberg (RK-F) method.

Findings
The impact of Ag nanoparticle’s shape along with other germane factors, such as Biot number, magnetic field, solid volume fraction and heat source/sink on velocity and thermal profiles, Nusselt number, skin friction coefficient, heat transfer enhancement, rate of entropy generation and irreversibility ratio, are scrutinized via graphical simulations and discussed. This study revealed that cylindrical shape Ag nanoparticles generate high entropy and fluid friction irreversibility, whereas disk shape Ag nanoparticles exhibit high transfer enhancement rate. Moreover, a boost in magnetic field intensity, volume-fraction parameter and Biot number enhances the thermal boundary layer thickness.

Originality/value
The main objective of this work is to examine the different Ag nanoparticles shape effects on the heat transfer enhancement and inherent irreversibility owing to hydromagnetic nanoliquid flow past a convectively heated stretching sheet with heat source/sink, which has not been yet studied. It is hope that this study will bridge the gap in the present literature and serve as impetus to scholars, engineers and industries for more exploration in this direction. The intrinsic nonlinearity of the model equations precludes its exact solution; hence, OHAM and shooting technique coupled with the RK-F method have been used to numerically tackle the problem. Pertinent results are discussed quantitatively and displayed graphically and in tabular form.
Tourism demand nowcasting using a LASSO-MIDAS model
Authors: Liu Han , Liu Ying , Li Gang , Wen Long 
Published: July 2021

PurposeThis study aims to examine whether and when real-time updated online search engine data such as the daily Baidu Index can be useful for improving the accuracy of tourism demand nowcasting once monthly official statistical data, including historical visitor arrival data and macroeconomic variables, become available.Design/methodology/approachThis study is the first attempt to use the LASSO-MIDAS model proposed by Marsilli (2014) to field of the tourism demand forecasting to deal with the inconsistency in the frequency of data and the curse problem caused by the high dimensionality of search engine data.FindingsThe empirical results in the context of visitor arrivals in Hong Kong show that the application of a combination of daily Baidu Index data and monthly official statistical data produces more accurate nowcasting results when MIDAS-type models are used. The effectiveness of the LASSO-MIDAS model for tourism demand nowcasting indicates that such penalty-based MIDAS model is a useful option when using high-dimensional mixed-frequency data.Originality/valueThis study represents the first attempt to progressively compare whether there are any differences between using daily search engine data, monthly official statistical data and a combination of the aforementioned two types of data with different frequencies to nowcast tourism demand. This study also contributes to the tourism forecasting literature by presenting the first attempt to evaluate the applicability and effectiveness of the LASSO-MIDAS model in tourism demand nowcasting.
Artificial intelligence in the defense sector: an RBV and isomorphism perspectives to the case of the Lebanese Armed Forces
Authors: Chedrawi Charbel , Atallah Yara 
Published: July 2021

Purpose
This paper aims to dynamically analyze the opportunities and challenges of AI in the defense sector in Lebanon or any security agency or any organization with sensitive data through a resource-based view perspective, the adoption of artificial intelligence (AI)/narrow AI applications in the Lebanese Armed Forces (LAF) and to diagnose the current strategic orientation toward innovation and technology within the LAF while avoiding isomorphism.

Design/methodology/approach
The methodology is based on a qualitative interpretive case-study approach collected from several departments of the LAF. In fact, there is a developing convention to use qualitative research approaches among which case studies to study information technology phenomena (Trauth and Jessup, 2000; Benbasat et al., 1987; Klein and Meyers, 1999). Data were collected through centered semi-structured in-depth interviews (two to three hours each) with an interview guide coded abductively between the researchers and the interviewees conducted in numerous departments of the LAF with their top officials and generals (O1, O2, O3…); the anonymity of the interviewees was kept due to the sensitivity of the data collected, which took place between September 2018 and March 2019. Data consolidation and processing were conducted using NVivo.

Findings
This paper shows that the LAF is undeniably facing many challenges among which isomorphism caused by the lack of resources; it also shows that narrow AI applications provide new avenues for the LAF to avoid such institutional isomorphism.

Originality/value
The role of narrow AI in limiting isomorphism in the defense sector.
Do institutional risk preferences exist in Chinese direct investments in ASEAN countries? A case study of Chinese-funded enterprises in Laos
Authors: Chen Siyue , Huang Gengzhi , Zhang Hongou , Ye Yuyao , Wu Qitao 
Published: July 2021

Purpose
Institutional factors play an important and complex role in Chinese outward foreign direct investment (OFDI) location choices that do not seem to be influenced by a host country’s high political risks. Moreover, the location choice for OFDI is key to corporate strategic decision-making on internationalization. Therefore, this study aims to examine the direct investments of Chinese multinational enterprises (MNEs) in Laos.

Design/methodology/approach
Combining the purposive sampling strategy and snowball sampling method, the authors interviewed nine market- and resource-seeking Chinese enterprises in Laos. Drawing from the mainstream eclectic paradigm and the theory of new institutional economics, the authors analyzed two key variables – enterprise investment motivation and enterprise heterogeneity.

Findings
Chinese MNEs are not insensitive to the regressive institutional quality of host countries; the relationship effect and institutional distance are the location decision pathways along with which institutional factors influence Chinese multinationals’ investments in Laos; political stability is necessary for Chinese-funded enterprises to invest in Laos and the degree of corruption is an overestimated institutional preference factor.

Originality/value
The relationship effect is introduced into the analysis framework as an intermediate variable that influences the decision of MNEs to invest in countries with underdeveloped institutions. It verifies the significant roles of bilateral political relations and network relations in the OFDI location decisions of state-owned and private enterprises, respectively.
To be or not to be sustainable in an emerging market? Conjoint analysis of customers' behavior in purchasing denim jeans
Authors: Abreu Mônica Cavalcanti Sá de , Ferreira Fabiana Nogueira Holanda , Silva João Felipe Barbosa Araripe 
Published: July 2021

PurposeThis paper aims to investigate to what extent sustainable and nonsustainable attributes can be used to characterize different clusters of consumers in an emerging market, where economic conditions can increase the relevance of price. Consumers seem reluctant to engage frequently in pro-sustainable behavior, mainly for financial reasons. However, purchasing decisions can be understood as a multidimensional process.Design/methodology/approachThe authors conducted quantitative and descriptive research employing a choice-based conjoint/hierarchical Bayes (CBC/HB) experiment in malls in a low-income city in northeast Brazil with 1,287 potential buyers of denim jeans. The conjoint analysis therefore collected data on preferences in the course of actual decision-making. The authors then took the individual part-utility from each respondent and ran a cluster analysis to identify similar groups in the sample. The classification and regression tree (CART) method was used to determine the relationship between the conjoint attributes and the sociodemographic characteristics.FindingsThe data demonstrate that buying decisions constitute a complex process of interplay between many different factors, often involving trade-offs between a wide variety of nonsustainable and sustainable attributes. The survey confirmed that price is still of paramount importance when it comes to consumer choices. The authors also found that sustainable attributes played a relatively more significant role than brand or origin of production. The authors identify notable differences between groups of consumers in the “pro-sustainable” and “non-pro-sustainable” clusters and different levels of importance regarding the sociodemographic characteristics.Originality/valueAlthough price emerged as the most significant attribute, the research also demonstrates that there is a market in Brazil for products and practices based on a genuine commitment to the natural environment and social issues. The findings suggest that marketing managers and policymakers should consider different combinations of concerns over sustainability with product attributes and include sociodemographic variables rather than considering the textile market as uniform or thinking that there is no space for sustainability in fashion.
How can universities engage lecturers in knowledge transfer? analyzing the influence of performance management systems
Authors: Gonzalez-Sanchez Maria Beatriz , Gutiérrez-López Cristina , Barrachina Palanca Mercedes 
Published: July 2021

Purpose
There is an increasingly growing interest in treading beyond the traditional university goals of teaching and research to focus on their contribution to society through knowledge transfer (KT) performance activities. This paper aims to determine how performance management systems (PMSs) encourage lecturers to engage in the transfer of knowledge from higher education institutions (HEIs) to society.

Design/methodology/approach
This study is based on a sample of 3,812 Spanish university lecturers surveyed about different PMS tools – strategic plans, budgeting, meetings and reward systems – and different KT activities – research and development contracts, patents, extended patents, licenses, services and spin-offs – for the 2011–2016 period. A logit model was applied for the statistical analyzes.

Findings
As expected, enabling the use of these tools generally increases the probability of producing KT while only in some cases does coercive use reduce it. Moreover, combining enabling and coercive uses does not increase the likelihood of KT performance.

Practical implications
University policymakers and managers should reduce the gap between KT and research and teaching by, for example, examining the effects of their performance management practices on scholars’ perceptions and their subsequent behavior.

Originality/value
Despite previous literature states that coercive use decreases performance, the authors reveal that this is not the case for KT performance in HEIs. According to the findings, a specific record of KT, i.e. a coercive strategic plan tool, has a consistently positive effect on all four KT activities as follows: R&D contracts, patents, extended patents and licenses.
The effects of corporate governance on the customer’s recommendations: a study of the banking sector at the time of COVID-19
Authors: Ltifi Moez , Hichri Abir 
Published: July 2021

Purpose
This study aims to adopt a mixed-methods approach (accounting and business data) to analyse the effects of the financial institution’s governance on both the knowledge of social responsibility and the consumer’s attitudes and behaviours, and testing the moderating role of the brand identification in the banking sector during the COVID-19 pandemic. However, this concept has been neglected in previous studies.

Design/methodology/approach
Data were collected from a sample of 600 respondents in two major Tunisian cities. Participants were selected on the basis of a convenience sampling in which the structural equation modelling method was adopted through SMART PLS 3.0 software.

Findings
The results showed that good corporate governance has a positive influence on the knowledge of the company's social responsibility, which positively influences its brand image. Therefore, the company's brand image positively influences the customer’s satisfaction, which positively influences the recommending behaviour of the financial institutions in the COVID-19 era. However, the brand identification has no moderating effect.

Practical implications
Managers of financial institutions are advised to pay particular attention to good corporate governance, as it is mandatory for these companies to assume social responsibility and make it known to clients. Therefore, it is obvious to create a good image in the mind of the consumers to satisfy them to recommend the company in question. It is interesting to mobilise the period of health crisis (COVID-19) to create a favourable attitude among the customers because they are sensitive when evaluating and ranking financial institutions according to the relationships that exist especially during this period.

Originality/value
In fact, there are many studies that dealt with the banking sector. Some of them dealt with the sector through the institutional accounting section while others dealt with the sector through the commercial and marketing section. Therefore, the first contribution of this research is to test a mixed model made up of accounting and commercial data. This model is among the first to determine the effects of the financial institution's governance on the knowledge of social responsibility and on the consumer’s attitude and behaviour to test the moderating role of brand identification in the banking sector. The second contribution is to test this model in a period of health crisis (COVID-19). The third contribution is the use of a mixed sample of data collected from two regions. Then, the fourth contribution is the addition of tests for the verification, robustness and validation of the results obtained. Finally, the fifth contribution is the addition of control variables to test their effects on the research model.
Electricity demand forecasting using fuzzy hybrid intelligence-based seasonal models
Authors: Khashei Mehdi , Chahkoutahi Fatemeh 
Published: July 2021

Purpose
The purpose of this paper is to propose an extensiveness intelligent hybrid model to short-term load electricity forecast that can simultaneously model the seasonal complicated nonlinear uncertain patterns in the data. For this purpose, a fuzzy seasonal version of the multilayer perceptrons (MLP) is developed.

Design/methodology/approach
In this paper, an extended fuzzy seasonal version of classic MLP is proposed using basic concepts of seasonal modeling and fuzzy logic. The fundamental goal behind the proposed model is to improve the modeling comprehensiveness of traditional MLP in such a way that they can simultaneously model seasonal and fuzzy patterns and structures, in addition to the regular nonseasonal and crisp patterns and structures.

Findings
Eventually, the effectiveness and predictive capability of the proposed model are examined and compared with its components and some other models. Empirical results of the electricity load forecasting indicate that the proposed model can achieve more accurate and also lower risk rather than classic MLP and some other fuzzy/nonfuzzy, seasonal nonseasonal, statistical/intelligent models.

Originality/value
One of the most appropriate modeling tools and widely used techniques for electricity load forecasting is artificial neural networks (ANNs). The popularity of such models comes from their unique advantages such as nonlinearity, universally, generality, self-adaptively and so on. However, despite all benefits of these methods, owing to the specific features of electricity markets and also simultaneously existing different patterns and structures in the electrical data sets, they are insufficient to achieve decided forecasts, lonely. The major weaknesses of ANNs for achieving more accurate, low-risk results are seasonality and uncertainty. In this paper, the ability of the modeling seasonal and uncertain patterns has been added to other unique capabilities of traditional MLP in complex nonlinear patterns modeling.