bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-objective NSGA-II based shape optimisation of the cross-sectional shape of passively cooled heat sinks
Authors: Santhanakrishnan Mani Sekaran , Tilford Tim , Bailey Chris 
Published: July 2021

Purpose
The purpose of the study is to optimise the cross-sectional shape of passively cooled horizontally mounted pin-fin heat sink for higher cooling performance and lower material usage.

Design/methodology/approach
Multi-objective shape optimisation technique is used to design the heat sink fins. Non-dominated sorting genetic algorithm (NSGA-II) is combined with a geometric module to develop the shape optimiser. High-fidelity computational fluid dynamics (CFD) is used to evaluate the design objectives. Separate optimisations are carried out to design the shape of bottom row fins and middle row fins of a pin-fin heat sink. Finally, a computational validation was conducted by generating a three-dimensional pin-fin heat sink using optimised fin cross sections and comparing its performance against the circular pin-fin heat sink with the same inter-fin spacing value.

Findings
Heat sink with optimised fin cross sections has 1.6% higher cooling effectiveness than circular pin-fin heat sink of same material volume, and has 10.3% higher cooling effectiveness than the pin-fin heat sink of same characteristics fin dimension. The special geometric features of optimised fins that resulted in superior performance are highlighted. Further, Pareto-optimal fronts for this multi-objective optimisation problem are obtained for different fin design scenarios.

Originality/value
For the first time, passively cooled heat sink’s cross-sectional shapes are optimised for different spatial arrangements, using NSGA-II-based shape optimiser, which makes use of CFD solver to evaluate the design objectives. The optimised, high-performance shapes will find direct application to cool power electronic equipment.
University–industry collaboration: constructing a business model lab for student venture creation
Authors: Hasche Nina , Linton Gabriel 
Published: July 2021

PurposeThe study aims to examine the development of student venture creation in a co-curricular business model lab initiative with collaboration between students, researchers, technology transfer offices (TTO) and industry. It presents a fresh approach to the study of student venture creation by discussing a unique co-curricular case, its embeddedness in a network and drawing on the concept of tension.Design/methodology/approachA qualitative, case-based research design is applied containing data from interviews, observations and active participation.FindingsThe findings point to the inherent difficulties in managing and organizing student venture creation and networks surrounding the student venture creation in a co-curricular setting that can lead to several different types of tensions. Episodes where task-, role-, process-, affective- and value-related tensions arise are identified. Furthermore, the findings highlight that affective-related tension is often an outcome of other types of tensions.Research limitations/implicationsOur theoretical implications point to the importance of the context of student venture creation, but not only regarding curricular and co-curricular initiatives; depending on the context, such as if student surrogate entrepreneurship is used, different types of support structure might also be needed to enable student venture creation.Originality/valueResearch on the entrepreneurial university has mainly focused on entrepreneurship education and ventures created by researchers. This study responds to recent calls for research on the venture creation of students. The limited research conducted on student venture creation can be divided between curricular and co-curricular initiatives. Our research points out that many other contextual factors are of importance, such as the origin of ideas, student surrogate entrepreneurship, industry collaboration, team formation and expectations.
Adoption of mobile technology for mobile learning by university students during COVID-19
Authors: Zaidi Syed Faizan Hussain , Osmanaj Valmira , Ali Omar , Zaidi S.A.H. 
Published: July 2021

PurposeDue to the eruption of the COVID-19 pandemic, many universities were forced to shift from the traditional learning practices to digital learning. Hence, the purpose of this study is to evaluate the factors that affect the university student's adoption of mobile technologies for mobile learning (m-learning) in their learning process.Design/methodology/approachTechnology acceptance model (TAM) is incorporated to study the adoption of mobile learning by university students. Quantitative research technique is used as core research approach in this study. Structural equation modelling (SEM), which is a part of quantitative research method, was employed on the congregated data via a set of questionnaire from 268 University students. SEM is used to explore the relationships among the hypothesized constructs. SPSS and AMOS software were used for the analysis of data.FindingsThis study validated the updated TAM model and assessed the students' adoption of mobile technologies for m-learning during COVID-19. All the constructs of proposed model were found to be significant with more than 50% average variance extracted. It was found that two external constructs mobile system efficacy and mobile service efficacy appended in technology acceptance model show the direct positive effect on perceived usefulness and perceived ease of use constructs. However, hypothesized relationships were found to be unsupported among perceived usefulness and perceived ease of use. Furthermore, perceived usefulness and ease of use during m-learning impact the students' usage attitude which consequently impact the students' adoption behaviour towards adoption of mobile technology.Research limitations/implicationsSix constructs were considered for this study; however, mobile information quality for mobile learning was not included which could affect students' adoption criteria. Additionally, this study is limited to a country where future study needs validation of propose constructs in different demographic settings.Originality/valueNo study allied to the students' adoption of mobile technology for m-learning has accomplished in the context of India during COVID-19. Furthermore, TAM model has been updated with regard to the students' adoption of mobile learning during COVID-19 in Indian higher education setting.
Improving investment promotion agencies performance in attracting foreign direct investment
Authors: Dickinson Hongmei , Fisher Ron , Akbar Hammad 
Published: July 2021

Purpose
This study aims to investigate how investment promotion agencies (IPAs) attract funds effectively from emerging to established countries.

Design/methodology/approach
A qualitative action research (AR) study with data collected from focus groups and semi-structured interviews, observation and journaling. Comparative case studies are also presented to provide an external perspective to the researchers’ internal action researcher positions.

Findings
The research identifies four main factors that impact IPAs’ effectiveness in seeking a strategic asset in the UK from a developing country, China. The factors are policy advocacy, targeting industry, regional strategy and cultural adaption, which provide positive and significant influences on IPAs’ effectiveness.

Research limitations/implications
Little research has been published about the roles of IPAs in attracting foreign direct investment (FDI) from a developing to a developed country. The study uses an AR approach and case studies, which have not previously been used to investigate IPAs’ performance. The study extends the sparse extant research and provides insights into what influences the performance of IPAs, thus contributing to knowledge and practice.

Practical implications
The findings provide insights into the ways in which IPAs influence FDI flows. The research contributes to discipline knowledge and practice by identifying factors influencing funding in a non-traditional manner, that is from a developing to a developed country.

Originality/value
Little research has been published about the roles of IPAs in attracting FDI from a developing to a developed country. The study uses an AR approach and case study, which have not previously been used to investigate IPAs’ performance. The study extends the sparse extant research and provides insights into what influences the performance of IPAs, thus contributing to knowledge and practice.
Insomnia and quality of life of prisoners at a Nigerian maximum-security prison
Authors: Fakorede Omokehinde Olubunmi , Onifade Peter Olutunde , Majekodunmi Oluyinka Emmanuel , Ogunwale Adegboyega , DadeMatthews Adefunke Omosefe 
Published: July 2021

PurposeThis study aims to determine the prevalence of insomnia as well as its association with the quality of life of the inmates in a Nigerian prison. Prisoners are a disadvantaged group of people whose needs are often unmet. Many authors have focussed on investigating the prevalence and pattern of psychiatric morbidity, as well as substance use among prisoners. However, sleep disorders, which can predispose or precipitate psychiatric disorders, have been largely neglected in research. The relationship between insomnia and quality of life (QoL) among the general population has been documented but similar investigations have yet to be conducted among the prisoner population.Design/methodology/approachThis was a cross-sectional study with 300 male prisoners at the Ibara prison, Abeokuta, Nigeria who were not diagnosed with depressive, generalized anxiety or post-traumatic stress disorders. Each respondent was interviewed with a sociodemographic proforma, Insomnia module of the Schedule for Clinical Assessment in Neuropsychiatry and the brief World Health Organisation Quality of Life questionnaire.FindingsAbout half of the respondents (45.7%) met diagnostic criteria for insomnia. A diagnosis of insomnia and some sleep-related variables were significantly associated with QoL.Research limitations/implicationsAll the possible correlates of insomnia could not be investigated. Further research should be conducted to identify more correlates and investigate the impact of insomnia on prisoners’ lives.Practical implicationsImprovement of prison climate (relationships in prison, safety and order, contact with the outside world, facilities, meaningful activities and autonomy) may mitigate insomnia among prisoners. Prison psychiatry in Nigerian correctional centres should be made a priority.Social implicationsThe findings have brought to light the need to address the current social welfare system in place for Nigerian correctional centres.Originality/valueThe study provided information on the prevalence of insomnia and poor QoL among prisoners in a Nigerian correctional facility.
What should be lean buffer threshold for the forward-reserve warehouse?
Authors: Shah Bhavin 
Published: July 2021

PurposeThe assorted piece-wise retail orders in a cosmetics warehouse are fulfilled through a separate fast-picking area called Forward Buffer (FB). This study determines “just-right” size of FB to ensure desired Customer Service Level (CSL) at least storage wastages. It also investigates the impact of FB capacity and demand variations on FB leanness.Design/methodology/approachA Value Stream Mapping (VSM) tool is applied to analyse the warehouse activities and mathematical model is implemented in MATLAB to quantify the leanness at desired CSL. A comprehensive framework is developed to determine lean FB buffer size for a Retail Distribution Centre (RDC) of a cosmetics industry.FindingsThe CSL increases monotonically; however, the results concerning spent efforts towards CSL improvement gets diminished with raised demand variances. The desired CSL can be achieved at least FB capacity and fewer Storage Waste (SW) as it shifts towards more lean system regime. It is not possible to improve Value Added (VA) time beyond certain constraints and therefore, it is recommended to reduce Non-Value Added (NVA) order processing activities to improve leanness.Research limitations/implicationsThis study determines “just-right” capacity and investigates the impact of buffer and demand variations on leanness. It helps managers to analyse warehouse processes and design customized distribution policies in food, beverage and retail grocery warehouse.Practical implicationsProposed buffering model offers customized strategies beyond pre-set CSL by varying it dynamically to reduce wastages. The mathematical model deriving lean sizing and mitigation guidelines are constructive development for managers.Originality/valueThis research provides an inventive approach of VSM model and Mathematical algorithm endorsing lean thinking to design effective buffering policies in a forward warehouse.
Augmenting bank service quality dimensions: moderation of perceived trust and perceived risk
Authors: Biswas Abhijeet , Jaiswal Deepak , Kant Rishi 
Published: July 2021

PurposePermeation of private sector banks has triggered intense competitiveness in the Indian banking sector; therefore, customer satisfaction has become the epicenter of all activities. The study seeks to explicate the antecedents and reverberation of customer satisfaction in the Indian retail banking sector.Design/methodology/approachTop six Indian private sector banks were selected based on market capitalization. Cross-sectional data from 460 retail bank customers were collected by employing a structured questionnaire and evaluated wielding structural equation modeling.FindingsThe study discerns seven antecedents of customer satisfaction, namely tangibility, reliability, empathy, responsiveness, assurance, perceived service innovation and bank reputation. The results unveil that assurance, bank reputation and perceived service innovation significantly escalate customer satisfaction, which further markedly accentuates customer loyalty. However, tangibility was the only dimension bearing an insignificant relationship. In addition, both perceived trust and perceived risk significantly moderate the association between customer satisfaction and customer loyalty in the model.Research limitations/implicationsIncorporation of merely private sector banks and considering cosmopolitans restraints generalization of findings to some extent. The study bespeaks essential determinants of customer satisfaction that might succor bank professionals to retain customers and ameliorate profitability.Originality/valueThere is a paucity of literature on “perceived service innovation” and “bank reputation” in the Indian banking scenario. Therefore, the study augments the literature by integrating aforesaid important constituents along with other antecedents and reverberation. Moreover, the study uses theoretical lens to anchor its hypotheses through a comprehensive conceptual model in the backdrop of Indian retail banking.
Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach
Authors: Agrawal Prakash , Narain Rakesh 
Published: July 2021

PurposeOver the years, technology development has rationalized supply chain processes. The demand economy is disrupting every sector causing the supply chain to be more innovative than ever before. The digitalization of the supply chain fulfils this demand. Several technologies such as blockchain, big data analytics, 3D printing, Internet of things (IoT), artificial intelligence (AI), augmented reality (AR), etc. have been innovated in recent years, which expedite the digitalization of the supply chain. The paper aims to analyse the applicability of these technological enablers in the digital transformation of the supply chain and to present an interpretive structural modelling (ISM) model, which presents a sequence in which enablers can be implemented in a sequential manner.Design/methodology/approachThis paper employed the ISM approach to propose a various levelled model for the enablers of the digital supply chain. The enablers are also classified graphically based on their driving and dependence powers using matrix multiplication cross-impact applied to classification (MICMAC) analysis.FindingsThe study indicates that the enablers “big data analytics”, “IoT”, “blockchain” and “AI” are the most powerful enablers for the digitalization of the supply chain and actualizing these enablers should be a topmost concern for organizations, which want to exploit new opportunities created by these technologies.Practical implicationsThis study presents a systematic approach to adopt new technologies for performing various supply chain activities and assists the policymakers better organize their assets and execution endeavours towards digitalization of the supply chain.Originality/valueThis is one of the initial research studies, which has analysed the enablers for the digitalization supply chain using the ISM approach.
Whose cash compensation has more influence on real earnings management, CEOs or CFOs?
Authors: Alkebsee Radwan , Alhebry Adeeb A. , Tian Gaoliang 
Published: July 2021

PurposeScholars have investigated the association between executives' incentives and earnings management. Most of the extant literature focuses on equity executives' incentives, while most of the earnings management literature focuses on accrual earnings management (AEM), not real earnings management (REM). This paper investigates the association between chief executive officers’ (CEOs) and chief financial officer (CFOs) cash compensation and REM and explores who has more influence on REM, the CEO or the CFO.Design/methodology/approachThe authors use the data of all listed companies on the Shanghai and Shenzhen Stock Exchanges for the period from 2009 to 2017 and ordinary least squares regression as a baseline model and the Chow test to capture whether the CEO's or the CFO's cash compensation has more influence on REM. To address potential endogeneity issues, the authors use a firm-fixed effect technique and two-stage least squares regression.FindingsThe authors find that CEOs' and CFOs' cash compensation is significantly associated with REM, suggesting that paying non-equity compensation to the CEO and CFO is negatively associated with REM. The authors also find that the CFO's cash compensation has a more significant influence on REM than the CEO's cash compensation, suggesting that the CFO's accounting and financial knowledge strengthens his or her power on the quality of financial reporting.Practical implicationsThe study contributes to the literature of agency and contract theories by using cash-based compensation to provide strong evidence that CEO's and CFO's compensation is associated with REM. It also contributes to the earnings management literature by examining the effect of CEOs' and CFOs' cash compensation on earnings management using proxies for REM-related activities. The study also contributes to the institutional theory by providing empirical evidence on the governance role of executives' cash compensation in deterring REM. Finally, it is the first to examine the relationship between CEO's and CFO's cash compensation and REM, and the first to explore who is more influential regarding REM in emerging markets, the CEO or the CFO.Originality/valueAs a response to the call for investigations of the role of non-equity-based compensation in earnings management and the call to consider non-developed institutional contexts in governance research, this study extends prior studies by providing novel evidence on the relationship between CEOs' and CFOs' non-equity compensation and REM in China's emerging market. The study documents that the CFO has a greater influence on REM than the CEO does.
Ecocultural networks as grounds for spatial planning. A psychosocial approach applied to coastal development
Authors: Gandarillas Miguel Ángel , McCall Michael K. 
Published: July 2021

PurposeThis work critiques the situation of the ecological and cultural heritage in many coastal territories and analyses how current land planning methodologies are responding to it. The study builds a new integrated approach founded on ecocultural values and local knowledge as resources for an effective territorial planning and sustainable development.Design/methodology/approachThe proposed framework was developed through: (1) analysing coastal planning needs and problems in European coastal areas; (2) identifying ecocultural values, including local knowledge, in such areas; (3) selecting best approaches and tools in spatial planning; (4) applying the selected planning approaches to use ecocultural values as resources for spatial planning and sustainable development; and (5) validating the final methodology.FindingsA dynamic approach for maritime-land planning was developed projecting coastal waters and river basins as strategic drivers for sustainable development, based on the natural capacity of water to shape and integrate the ecological and cultural territory. A participatory governance planning methodology supports the new articulations of space based on ecocultural value chains and networks as synergistic vectors, focusing on local knowledge as psychosocial capital for a collective mapping of cultural, historical, social, economic and ecological values into ecocultural littoral plans.Originality/valueThe results show the potentials of combining new approaches applying cultural and ecological heritage into an effective strategy of integration between society and territory as a powerful driver for effective sustainable planning and development.
Interest rate forecasts in Latin America
Authors: Filiz Ibrahim , Judek Jan René , Lorenz Marco , Spiwoks Markus 
Published: July 2021

PurposeThis paper aims to assess the quality of interest rate forecasts for the money markets in Argentina, Brazil, Chile, Mexico and Venezuela for the period between 2001 and 2019. Future interest rate trends are of key significance for many business-related decisions. Thus, reliable interest rate forecasts are essential, for example, for banks that make profits by carrying out maturity transformations.Design/methodology/approachThe data that we analyze were collected by Consensus Economics through a monthly survey with over 120 renowned economists and were published between 2001 and 2019 in the journalLatin American Consensus Forecasts. The authors use the Diebold-Mariano test, the sign accuracy test, the TOTA coefficient and the unbiasedness test to determine the precision and biasedness of the forecasts.FindingsThe research reveals that the forecasting work carried out in Brazil, Chile and Mexico is remarkably successful. The quality of forecasts from Argentina and Venezuela, on the other hand, is significantly poorer.Originality/valueOver 50 studies have already been published with regard to the accuracy of interest rate forecasts, emphasizing the importance of the topic. However, interest rate forecasts for Latin American money markets have hardly been considered thus far. The paper closes this research gap. Overall, the analyzed database amounts to a total of 209 forecast time series with 28,451 individual interest rate forecasts. This study is thus far more comprehensive than all previous studies.