bluuebunny/crossref_metadata_2025_split huggingface dataset:
An experimental/numerical hydrothermal-Second law analysis of a finned/tubular heat exchanger using Bhatnagar–Gross–Krook Lattice Boltzmann (BGKLBM) and rheological-thermal behavior of Fe2O3-water
Authors: Hejri Saeid , Kamali Daryoush , Hasani Malekshah Emad 
Published: December 2020

Purpose
The purpose of this study is analysis of the natural convection and entropy production in a two-dimensional section of the considered heat exchanger. For this purpose, the lattice Boltzmann method which is equipped with Bhatnagar–Gross–Krook model is used. This model proposes a significant accurate prediction for thermal and hydro-dynamical behaviors over free convection phenomenon. The heat exchanger is filled with Fe2O3-water nanofluid. To improve the accuracy of prediction, it is neglected to use the theoretical models for properties of nanofluid. At this end, some experimental observations are conducted, and the required rheological and thermal properties of nanofluid are measured based on laboratory work..

Design/methodology/approach
The present work focuses on the influence of different factors on the thermal behaviors and entropy production of a heat exchanger. The heat exchanger is consisted by an inner tube, an outer tube and some fins which are implanted at the surface of inner tube.

Findings
The effects of various factors like structure of inner fins, nanoparticle concentration and Rayleigh number over the heat transfer rate, local and volumetric entropy production, Bejan number, flow configuration and temperature distributions are provided.

Originality/value
The originality of this work is using a new-developed numerical method for treating natural convection and experimental measurements for thermal and rheological properties of nanofluid.
Application of support vector machines for accurate prediction of convection heat transfer coefficient of nanofluids through circular pipes
Authors: Safdari Shadloo Mostafa 
Published: December 2020

Purpose
Convection is one of the main heat transfer mechanisms in both high to low temperature media. The accurate convection heat transfer coefficient (HTC) value is required for exact prediction of heat transfer. As convection HTC depends on many variables including fluid properties, flow hydrodynamics, surface geometry and operating and boundary conditions, among others, its accurate estimation is often too hard. Homogeneous dispersion of nanoparticles in a base fluid (nanofluids) that found high popularities during the past two decades has also increased the level of this complexity. Therefore, this study aims to show the application of least-square support vector machines (LS-SVM) for prediction of convection heat transfer coefficient of nanofluids through circular pipes as an accurate alternative way and draw a clear path for future researches in the field.

Design/methodology/approach
The proposed LS-SVM model is developed using a relatively huge databank, including 253 experimental data sets. The predictive performance of this intelligent approach is validated using both experimental data and empirical correlations in the literature.

Findings
The results show that the LS-SVM paradigm with a radial basis kernel outperforms all other considered approaches. It presents an absolute average relative deviation of 2.47% and the regression coefficient (R2) of 0.99935 for the estimation of the experimental databank. The proposed smart paradigm expedites the procedure of estimation of convection HTC of nanofluid flow inside circular pipes.

Originality/value
Therefore, the focus of the current study is concentrated on the estimation of convection HTC of nanofluid flow through circular pipes using the LS-SVM. Indeed, this estimation is done using operating conditions and some simply measured characteristics of nanoparticle, base fluid and nanofluid.
“When I get older, I wanna be an entrepreneur”: the impact of disability and dyslexia on entrepreneurial self-efficacy perception
Authors: Powers Benjamin , Le Loarne-Lemaire Séverine , Maalaoui Adnane , Kraus Sascha 
Published: December 2020

PurposeThis article contributes to the literature on entrepreneurship for people with disabilities through a better understanding of the impact of entrepreneurial self-efficacy perceptions on entrepreneurial intentions in populations with lower levels of self-esteem. It investigates the entrepreneurial intention and self-efficacy of a population of students suffering from dyslexia, which is a learning disability.Design/methodology/approachThe paper is based on the study of a data set of 796 male and female adolescents in the USA, aged 13–19 years, both with and without dyslexia. The sample is a convenient one. The whole sample replied to the questionnaire on their self-efficacy perception and their intention to create, one day, their own venture. They also self-declare their dyslexia. Regressions have been conducted to answer the research question.FindingsResults show that having dyslexia has a negative impact on entrepreneurial self-efficacy perceptions. They also reveal that self-efficacy perceptions mediate the relationship between dyslexia and entrepreneurial intentions and their three antecedents (social norms, control behavior and perceived ability).Research limitations/implicationsThe sample is composed of students from private schools and might socially be biased.Practical implicationsOur findings relaunch the debate on the necessity to develop education programs that consider the personal-level variables of students, specifically the development of entrepreneurial self-efficacy among adolescents with disabilitiesSocial implicationsSuch findings should help to better understand students who are suffering from dyslexia and help them find a place in society and economic life.Originality/valueThis is so far the first study that has been conducted on dyslexic adolescents.
Do corporate social responsibility disclosures influence investment efficiency in the emerging markets of Asia?
Authors: Zamir Farah , Shailer Greg , Saeed Abubakr 
Published: December 2020

PurposeCorporate investment efficiency ultimately influences economic development but is largely at the discretion of managers. Information asymmetries are problematic in emerging markets, but it is widely believed that corporate social responsibility (CSR) disclosures can reduce information asymmetries. This paper examines whether CSR disclosures influence corporate capital investment efficiency in emerging Asian markets.Design/methodology/approachInvestment inefficiency is measured as the residuals from an investment model that is constructed by combining variables from prior studies to obtain a more detailed specification. A CSR disclosure index (CSRDI) is constructed from manually collected CSR disclosures for the largest corporations in each of the nine Asian emerging markets, as categorised by the MSCI Emerging Market Index, during 2015–2017. Underinvestments and overinvestments are regressed against the CSRDI, using a two-stage model to address the potential self-selection of CSR report issuers.FindingsThe results indicate that CSR disclosures reduce underinvestment for large firms but do not constrain overinvestment. These results are consistent with the propositions that, by increasing transparency or reducing information asymmetry, CSR disclosures can improve firm access to external finance needed to invest in profitable projects but cannot constrain entrenched managers who are not reliant on external finance.Originality/valueThis study extends the literature by analysing the impact of CSR disclosures on both underinvestments and overinvestments and by examining the CSR-investment efficiency across the nine emerging Asian markets. This enhances generalisability compared to single market studies. More generally, this study enhances the understanding of the role of non-financial disclosures in the Asian emerging markets, where corporate investment efficiency is important for economic development but where severe information asymmetry and agency conflicts between insiders and external investors are prevalent. Both the investment community and policymakers should benefit from enhanced understanding of factors that influence investment efficiency in those markets.
Automating the process of method-time-measurement
Authors: Fantoni Gualtiero , Al-Zubaidi Salam Qaddoori , Coli Elena , Mazzei Daniele 
Published: December 2020

PurposeThis work reports on a developing method time measurement system for measuring manufacturing and assembly processes automatically. This automatic system enables the production engineers and management to detect, process, and display concise and accurate information about the operations in real time.Design/methodology/approachThis system is based on Internet of things technology and RFID-antenna. This methodology consists of seven main steps and one final optimization step. Mainly, the operator is equipped by RFID reader, and the work station tools and devices are provided by RFID tags. Responding the RFID tags to the reader will refer to the certain operations, the difference time between start and end of the operations will be collected immediately and calculated by the microprocessor of the system.FindingsThis automatic system is promising, considering the accurate time measurements and recommendations that obtained from the case study which includes measuring manual assembly operations to be followed in order to overcome the limitations which are not only technical but also managerial, legal and organizational.Research limitations/implicationsThe acquired data about timing and duration of individual operations are anonymized to guarantee the compliance with respect to the privacy laws (GDPR and Italian work's laws).Originality/valueThis work presents a unique system to measure the time instead of traditional methods in the factories environment and satisfies the requirements to study the recommendations in order to overcome the challenges.
Greening the past: putting history in its place at the ecological university
Authors: Jones Karen 
Published: December 2020

Purpose
The purpose of this paper is to think through the value of History as a way of interrogating ideas around environmental change as well as bridging the gap between definitions of natural and cultural heritage. In terms of the sustainability in higher education imperative, it argues that youth climate change movements and endeavours to diversify curriculum content make this a moment of critical mass to push forward with new historical programmes that embed environmental themes in a wider intellectual pedagogy.

Design/methodology/approach
This paper looks to combine an urgent need to engage with environmental sustainability with progressive endeavours at decolonising the curriculum to explore how humanities (and History, in particular) can be brought into the service of the ecological university.

Findings
Thereafter, it looks specifically at “green heritage” in the city as a useful example in which the greening agenda can be used to re-contextualise historical approaches, encourage useful conversations around the role of History as a conservation and heritage management tool and build active partnerships with local stakeholder groups.

Originality/value
The originality of this approach lies in thinking both of content and intellectual practice, pedagogy as content and behaviour and in reconstructing the terrain of a theme such as heritage to think through opportunities for sustainability in education.
Internal marketing strategies in United Arab Emirates higher education
Authors: Muneeb Dilnaz , Tehseen Shehnaz , Amin Muslim , Kader Fatima , Latif Khawaja Fawad 
Published: December 2020

PurposeThis paper seeks to analyze the impact of internal marketing orientations (IMOs) on the competitiveness of higher education institutions (HEIs) in the United Arab Emirates (UAE).Design/methodology/approachA stratified random sampling was employed to collect data from a pool of 5,968 faculty members in 102 HIEs in the UAE. An online survey questionnaire was placed on Qualtrics online data collection platform and sent to selected participants. Out of a total of 638 surveys send through email, 349 surveys were returned, duly filled. The model was tested using SmartPLS structural equation modeling (PLS-SEM).FindingsIMO dimensions of information generation (IG), information dissemination (ID) and information responsiveness (IR) are inexplicably linked to HEI's competitiveness and faculty performance. IR proved to be a more significant predictor of HEI's competitiveness compared to IG and ID.Practical implicationsThe study proposes that HEI policymakers encourage the exchange of value among the internal stakeholders and formulate employee-focused policies as part of their corporate objectives. The findings also advocate in improving working conditions and enhancing work–life balance to strengthen the institutions' competitive position within the industry.Originality/valueThis study is the first to explore the interrelationship among the IMO dimensions of IG, ID and IR and their impact on HEI competitiveness, particularly in the UAE.
Regimes of collective logic
Authors: Surov Ilya A. , Ignateva Vlada V. , Bazhenov Andrey Y. 
Published: December 2020

Purpose
The study aims to reveal regularities of collective decision in groups of varying cooperativity and to investigate the influence of individualism–collectivism cultural dimension on the emergence of collective behavioral entities.

Design/methodology/approach
An agent-based model of group behavior is used to simulate the logic of collective binary decisions defined by reaching a consensus threshold. The key parameter of the model is the cooperativity of interaction between individuals which locates the group in individualism–collectivism cultural dimension. The probabilities of collective decisions are measured as a function of individual preferences and the strength of cooperation between agents.

Findings
Strong, weak and middle point cooperativities of inter-individual interaction define three distinct regimes of collective decision logic, namely, individualism, conformism and criticality. The critical organization allows the group to generate coherent non-predetermined collective behavior in statistical agreement with individual preferences.

Research limitations/implications
Emergent collective behavior with coherent and nondeterministic decision-making can be modeled in an agent-based approach with local interaction between individuals tuned to a critical point. Variation of a single cooperativity parameter accounts for a continuous transition between organizations of the group inherent to inert matter and living systems.

Social implications
A new organization of social systems distinguished by internally relaxed relations and large-scale freedom is found beyond the traditional individualism–collectivism contraposition. This state is reached by tuning behavioral logic of individuals to a critical balance of individual and collective values.

Originality/value
Individualist, conformist and critical regimes of collective organization distinct in terms of integrity, complexity and determinism are recognized as universal organizational classes of nature spanning both inert and living systems. In particular, individualist and conformist regimes produce simple deterministic behavior typical for gases and solid bodies, whereas the critical organization generates complex nondeterministic behavior inherent to living organisms.
Blockchain technology in supply chain management: insights from machine learning algorithms
Authors: Hirata Enna , Lambrou Maria , Watanabe Daisuke 
Published: December 2020

Purpose
This paper aims to retrieve key components of blockchain applications in supply chain areas. It applies natural language processing methods to generate useful insights from academic literature.

Design/methodology/approach
It first applies a text mining method to retrieve information from scientific journal papers on the related topics. The text information is then analyzed through machine learning (ML) models to identify the important implications from the existing literature.

Findings
The research findings are three-fold. While challenges are of concern, the focus should be given to the design and implementation of blockchain in the supply chain field. Integration with internet of things is considered to be of higher importance. Blockchain plays a crucial role in food sustainability.

Research limitations/implications
The research findings offer insights for both policymakers and business managers on blockchain implementation in the supply chain.

Practical implications
This paper exemplifies the model as situated in the interface of human-based and machine-learned analysis, potentially offering an interesting and relevant avenue for blockchain and supply chain management researchers.

Originality/value
To the best of the knowledge, the research is the very first attempt to apply ML algorithms to analyzing the full contents of blockchain-related research, in the supply chain sector, thereby providing new insights and complementing existing literature.
A valuation approach of port funding strategies with application to a container terminal concession in Sub-Saharan Africa
Authors: Fraser Darren , Mpikeleli Thando , Notteboom Theo 
Published: December 2020

Purpose
Increased economic activity in sub-Saharan Africa (SSA) has given rise to increased demand for port development. Given the often scarce availability of national public funding, port institutional reform programmes have been implemented to pave the way for the inclusion of external port investors. Notwithstanding this fact, some sub-Saharan African Governments remain institutionally locked into the notion that state-owned enterprises remain an appropriate vehicle for port terminal operations. This, despite the fact that terminal operational concessions globally and within the continent of Africa are increasingly being managed by global terminal operators. Given this context, this study aims to evaluate different port valuation and funding strategies. Two research questions form the core of this research: what is the financial value of a concession? What is the most cost advantageous funding strategy? The methodology is applied to the development of a two-berth container terminal in SSA.

Design/methodology/approach
After reviewing a range of financial valuation and funding techniques, the study presents valuation and funding model applicability-fit tests. Thereafter, a suitable valuation technique is selected and applied to the case study providing a concession valuation. Different funding strategies are applied to the valuation model to determine the cost implications of each funding instrument given the local context and institutional constraints applicable to SSA. Finally, the study discusses the significance of the results to potential SSA port investors by highlighting the impact of each funding approach on key financial metrics.

Findings
The study presents a range of financial investment appraisal results for the case study concession in consideration of four specific funding strategies. The highest concession valuation could be attributed to a higher debt ratio as a principal funding strategy. In addition, this funding approach (100% debt) realised the shortest payback period and the highest internal rate of return values. The authors, however, maintain that the optimal funding strategy for a concession depends ultimately on the financial goals of the investor.

Originality/value
This research makes a contribution to the existing literature on port finance and development by presenting a structured approach to the evaluation of the valuation and funding techniques, which can be used in terminal development subject to the specific local context and institutional constraints (in this case applicable to SSA). The study provides practical insight into the potential cost of the considered terminal concession for private or public sector participants and a view of the most cost advantageous funding strategy available for interested investors.
Testing the impact of physiological stress response on police performance during critical job tasks
Authors: James Lois , Goldstein Michael S. , Lecy Peter , Mase Stephen 
Published: December 2020

PurposeTo add to the existing body of knowledge on the relationship between stress and job performance in policing, we monitored police officers' physiology using Hexoskin shirts while they responded to simulated scenarios.Design/methodology/approachWe employed mixed repeated measures (baseline, intervention, post-intervention), between groups (treatment vs control group) design. Using this approach, our aims were (1) to determine whether an individualized physiological stress profile—a combination of heart rate (HR), heart rate variability (HRV), sympathetic nervous system (SNS) index and parasympathetic nervous system (PNS) index—could be developed for each participant; (2) to investigate the association between physiological stress and scenario performance and (3) to pilot test an intervention for decreasing physiological stress in real time.FindingsWe found that it was possible to individualize physiological stress profiles for each participant that alerted us when the participant was becoming stressed. We also found that physiological stress was significantly and negatively/inversely associated with scenario performance. However, our intervention to try and decrease participants' stress in real time was not successful. Several key lessons can be taken from our attempt that could inform future efforts in this area.Research limitations/implicationsThis was a small pilot study, precluding generalizability of results. Furthermore, our intervention was simplistic and potentially affected by an experimenter effect. Future research should explore better ways to intervene when officers are becoming physiologically stressed to help them overcome stress in real time and safeguard against the cumulative effects of stress on health and performance.Originality/valueThis research adds to the body of knowledge on physiological stress and job-task performance in police officers.
Intellectual capital disclosure practices of financial institutions in an emerging economy
Authors: Mamun Syed Abdulla Al , Aktar Alima 
Published: December 2020

Purpose
The purpose of this study is to investigate the intellectual capital disclosure (ICD) practices of financial institutions in an emerging economy of Bangladesh.

Design/methodology/approach
Based on 93 items of intellectual capital categorized into internal capital, external capital and human capital, ICD index is developed for 53 financial institutions listed in Dhaka Stock Exchange. This study uses descriptive statistics to analyze ICD practices, and parametric and non-parametric tests to analyze the variation of ICD practices in terms of different categories as well as in terms of different sectors.

Findings
Results indicate that more than 70% of ICD items are generally not disclosed by financial institutions in Bangladesh. The highest of 36% of external capital disclosure items are disclosed, whereas the lowest of 18% of human resource capital elements are disclosed. Furthermore, results find the significant variability of ICD practices in terms of different intellectual capital categories and in between banking companies and non-banking financial institutions.

Practical implications
Findings have critical implications for managers, policymakers and regulators for setting appropriate strategies and regulations for improving the level of ICD, which, in turn, may reduce the information asymmetry problems of financial institutions as well.

Originality/value
In-depth analysis about variability of ICD practices creates value in the ICD literature by highlighting strategic priority of financial institutions to disclose information about the strategic resources in unique emerging economic settings such as Bangladesh.