bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of wall conduction on the heat transfer characteristics of supercritical n-decane in a horizontal rectangular pipe for cooling of a scramjet combustor
Authors: Li Yong , Xie Gongnan , Sunden Bengt Ake 
Published: July 2020

Purpose
The purpose of this paper is to numerically study the influence of wall conduction on the heat transfer of supercritical n-decane in the active regenerative cooling channels.

Design/methodology/approach
A horizontally placed rectangular pipe with a solid zone and another one without a solid zone were used. A drastic variation of thermo-physical properties was emphatically addressed. After the verification of mesh and turbulence models comparing with the experimental results, a mesh number of 4.5 M and the low Reynolds number SST k-ω turbulence model were chosen. The solution of the governing equations and the acquisition of the numerical results were executed by the commercial software FLUENT 2020 R1.

Findings
The numerical results indicate that there is a heat transfer deterioration (HTD) potential for the upper wall, lower wall and sidewall with the decrease of mass flux. Due to wall conduction, the distribution of the fluid temperature at spanwise-normal planes becomes uniform and this feature also takes advantage of the relatively uniform transverse velocity. For the streamwise-normal planes, the low fluid temperature appears close to the upper wall at the region near the sidewall and vice versa for the region near the centre. Undoubtedly, the secondary flow at the cross-section plays a crucial role in this process and the relatively cool mainstream is affected by the vortices.

Originality/value
This study warns that the wall conduction must be considered in the practical design and thermal optimization due to the sensibility of thermo-physical properties to the heat flux. The secondary flow caused by the buoyancy force (gravity) plays a significant role in the supercritical heat transfer and mixed convection heat transfer should be further studied.
MDAIC – a Six Sigma implementation strategy in big data environments
Authors: Koppel Siim , Chang Shing 
Published: July 2020

Purpose
Modern production facilities produce large amounts of data. The computational framework often referred to as big data analytics has greatly improved the capabilities of analyses of large data sets. Many manufacturing companies can now seize this opportunity to leverage their data to gain competitive advantages for continuous improvement. Six Sigma has been among the most popular approaches for continuous improvement. The data-driven nature of Six Sigma applied in a big data environment can provide competitive advantages. In the traditional Six Sigma implementation – define, measure, analyze, improve and control (DMAIC) problem-solving strategy where a human team defines a project ahead of data collection. This paper aims to propose a new Six Sigma approach that uses massive data generated to identify opportunities for continuous improvement projects in a manufacturing environment in addition to human input in a measure, define, analyze, improve and control (MDAIC) format.

Design/methodology/approach
The proposed Six Sigma strategy called MDAIC starts with data collection and process monitoring in a manufacturing environment using system-wide monitoring that standardizes continuous, attribute and profile data into comparable metrics in terms of “traffic lights.” The classifications into green, yellow and red lights are based on pre-control charts depending on how far a measurement is from its target. The proposed method monitors both process parameters and product quality data throughout a hierarchical production system over time. An attribute control chart is used to monitor system performances. As the proposed method is capable of identifying changed variables with both spatial and temporal spaces, Six Sigma teams can easily pinpoint the areas in need to initiate Six Sigma projects.

Findings
Based on a simulation study, the proposed method is capable of identifying variables that exhibit the biggest deviations from the target in the Measure step of a Six Sigma project. This provides suggestions of the candidates for the improvement section of the proposed MDAIC methodology.

Originality/value
This paper proposes a new approach for the identifications of projects for continuous improvement in a manufacturing environment. The proposed framework aims to monitor the entire production system that integrates all types of production variables and the product quality characteristics.
Well-being through group exercise: immigrant women’s experiences of a low-threshold training program
Authors: Luth-Hanssen Nancie , Fougner Marit , Debesay Jonas 
Published: July 2020

Purpose
Immigrant women show a higher risk of mental health problems and report higher levels of musculoskeletal disorders. Norwegian psychomotor physiotherapy (NPMP) is a body awareness treatment that has been used to alleviate musculoskeletal disorders and mental distress. The purpose of this study is to explore immigrant women’s participation in a low threshold training group and identify what motivates and affects their attendance and well-being.

Design/methodology/approach
The study is informed by a phenomenological approach. The data collection methods consisted of participatory observation and interviews. Observations and interviews were carried out between December 2016 and March 2017.

Findings
The findings show that the content and context of the movement group, being able to participate in exercises wearing own clothes and relying on previous body experiences motivate the women to attend and continue in the training program. NPMP inspired group training takes into account women’s cultural preferences and values. The culture-sensitive approach to physical exercise seems to motivate attendance and contribute to social and mental well-being. Low threshold physical programs should, therefore, be considered to provide immigrant women with the opportunity to experience well-being and social participation.

Originality/value
This study contributes to the better understanding and promotion of the physical and mental health of immigrants.
Multidimensional impact of food security on household welfare: evidences from a household survey in three Indian states
Authors: Satapathy Jyotirmayee , Nayak Narayan Chandra , Mahakud Jitendra 
Published: July 2020

PurposeThe welfare impacts of the food security on the beneficiaries can be understood from multiple dimensions. This paper, thus, examines the impact of the India's National Food Security Act (NFSA) on the welfare of the beneficiary households from a multidimensional perspective.Design/methodology/approachThe study is based on a sample household survey covering three different states of India. The stratified random sampling technique was used to select the states, districts and blocks. Sample villages and households were selected purposively. A total of 1,523 households comprising 1,069 beneficiary and 454 non-beneficiary households constituted the sample. In order to find out the impact of the programme on different dimensions of welfare, the endogenous switching regression model is employed as it helps control for any absence of randomization and the unobserved heterogeneity bias. Propensity score matching is also employed to supplement the results.FindingsThe substitution effect and income effect of the food subsidy policy combined improve the overall welfare of the households presented through the subjective measures of food consumption behaviour, income transfer and educational achievements. The bargaining effect of the food subsidy programme is reflected in the enhanced social status and women's empowerment. The food security programme seems to augment the food consumption of the beneficiaries as observed from the food consumption score.Research limitations/implicationsThe food security policy has improved the overall welfare of the households and can play a major role in enhancing household welfare even further. The non-beneficiaries' welfare could have increased if they would have been included in the food security programme. The subjective assessment may, however, be subjected to personal biases, and there is also absence of a common reference point. Hence, the implications of the findings may be generalized with caution.Originality/valueThis study provides evidences of the impacts of food subsidy from a multidimensional standpoint considering both subjective and objective dimensions of household welfare.
Household overspending on marriage: the scale of the problem and government reactions around the world
Authors: Sadigov Turkhan 
Published: July 2020

PurposeThe article offers an empirical investigation of the incidence and scale of household marriage overspending around the world, and the governments' reaction once the problem emerges.Design/methodology/approachThis study relies on regression analysis of open source data from legislation, mass media, and judiciary hearings for 141 countries. In the Phase 1 logistic regression of cross-country large-N data is used to identify country-incidence of marriage cost escalation. In the Phase 2 ordered logistic regression is used to uncover statistically significant factors that predict the probability of alternative government reactions in 87 countries which experience marriage cost escalation.FindingsIn a strong collectivist sociocultural environment, driven by informality, the rise of middle classes, combined with the decline of traditional hierarchies, and limited opportunities for economic mobility motivates households to enter emulative wedding spending, thus leading to overspending. Governments' reaction depends on available policy resources, and the economic scale of the problem.Research limitations/implicationsThe research findings suggest that rising living standards in the developing countries are more likely to escalate wedding costs, and consequently reinforce traditional values.Originality/valueAcademic literature links marriage-related overspending to armed insurgency, child marriage and decreasing state efficiency. Despite the problem's scope, existing research has not comprehensively addressed both its causes, and cross-country differences in government reactions to it. The article addresses both of the mentioned gaps, by offering a conceptual model of marriage cost escalation.
Are non-farming consumers willing to pay “a good market price” for iron-biofortified finger millet? Evidence from experimental auctions in Karnataka, India
Authors: Meier Claudia , El Benni Nadja , Sakamma Srinivasaiah , Moakes Simon , Grovermann Christian , Quiédeville Sylvain , Stolz Hanna , Stolze Matthias , Umesh K. Basegowda 
Published: July 2020

PurposeBiofortification of staple crops is a promising strategy to alleviate micronutrient deficiencies in rural populations of the developing world. The possibility to sell biofortified crops at “a good market price” plays a vital role for the acceptance by smallholder farmers. This study is therefore focused on non-farming consumers' willingness to pay (WTP) for biofortified crops.Design/methodology/approachSpecifically, we elicited non-farming consumers' WTP a premium for the improved iron content (+30% iron) in a 1kg finger millet bag using a 2nd price Vickrey auction with six auction rounds and one health- and one process-related information treatment. Due to multiple bids per subject, premiums were analyzed using a linear mixed-effects model, controlling for market feedback and auction round.FindingsDespite more than half of the respondents being skeptical toward new crop varieties, the acceptance rate was very high (98% with a WTP above zero). The average premium amounted to 27% and could be significantly increased with the provision of health-related information. In contrast, information about the breeding method was ineffective. The WTP was significantly higher for higher income and lower for higher age, education and skepticism toward new crop varieties and increased with increasing rounds.Research limitations/implicationsOur results suggest that non-farming consumers are willing to pay “a good market price” for iron-biofortified finger millet. Our analysis also confirms the importance of health-related information for raising consumers' WTP. This information supports the further development and introduction of biofortified crops to alleviate micronutrient malnutrition.Originality/valueThis study adds to the still limited literature on consumers' WTP for iron-biofortified crops in India, focusing on non-farming consumers to assess the price such crops can achieve on the market.
When leader is morally corrupt: interplay of despotic leadership and self-concordance on moral emotions and bullying behavior
Authors: Syed Fauzia , Akhtar Muhammad Waheed , Kashif Muhammad , Asrar-ul-Haq Muhammad , ain Qurt ul , Husnain Mudassir , Aslam Muhammad Kashif 
Published: July 2020

PurposeThis study investigates despotic leadership (DL) as an antecedent to bullying behavior with a mediating role of moral emotions at work. Another aim is to study the moderating role of self-concordance to buffer the relationship between DL and arousal of moral emotions.Design/methodology/approachThe authors collected two-source (self-reported and supervisor reported) time-lagged data in the shape of a three-wave survey (i.e. one month time interval for each time) from 242 dyads in the health sector of Pakistan.FindingsThe results revealed that moral emotions mediated the relationship between DL and bullying behavior. Furthermore, self-concordance moderates the relationship between DL and moral emotions, such that the relationship will be stronger in the case of low self-concordance.Research limitations/implicationsManagers need to promote a culture that accommodates diversity of opinion at the organization so that everyone is able to express and share their views openly. Organizations should encourage supervisors to participate in leadership development programs aimed at eliminating DL.Originality/valueThis study establishes the role of self-concordance and moral emotions in the relationship between despotic leadership DL and bullying behavior.
Measuring the influence values of lean criteria on leanness
Authors: Tekez Esra Kurt , Taşdeviren Gökhan 
Published: July 2020

PurposeThe purpose of this paper is to evaluate the impact of lean criteria on leanness as well as prioritize them, taking the relationships between dimensions into consideration for manufacturing enterprises.Design/methodology/approachThis study considers leanness over quality, cost, delivery and innovation (QCDI) performance dimensions. Twenty eight criteria related with these dimensions were determined that are focused on manufacturing organizations and then fuzzy analytic network process (ANP) approach was used to determine the influence value of each criterion on leanness.FindingsThe existing literature shows a lack of studies on systematically measuring the impact of lean criteria on leanness. To fill the gap, this paper presents a fuzzy ANP approach. Firstly interactions between the performance dimensions were configured. Then, according to the relationship, weights were obtained while taking the network structure that allows dynamic multidirectional relationships for interdependencies among performance dimensions into consideration. This provides a more accurate approach for determining the impact value on leanness performance in real-life decision-making environments.Research limitations/implicationsThe limitation of this study is that only manufacturing enterprises have been considered. Different criteria may need to be developed for service organizations.Practical implicationsThis study gives a real insight to lean practitioners in the manufacturing system. Due to the fact it is difficult to achieve all the criteria at the same time for a company, this study is significant for manufacturers, indicating which criteria should primarily be focused on in order to achieve leanness.Originality/valueApplying fuzzy ANP on interrelated QCDI performance dimensions to evaluate the impact of lean criteria on leanness is the novelty of this study in the related literature. The fuzzy ANP approach is thought to be a more suitable approach to obtain more realistic and accurate results with the power to cope with ambiguity. This study provides a systematic measurement of the influence of lean criteria, also considering interdependencies between performance dimensions. Another contribution of this study is adding innovation to the performance dimensions that are commonly known as quality, cost and delivery to assess leanness in a comprehensive manner.
Blockchain adoption in the supply chain: an appraisal on challenges
Authors: Ghode Dnyaneshwar Jivanrao , Yadav Vinod , Jain Rakesh , Soni Gunjan 
Published: July 2020

PurposeAdoption of blockchain technology (BT) leads to shrinking supply chains, produces a better quality product, saves product development time and increases the customized offering to the customer. Since it is a new and growing area of research, researchers and practitioners are not entirely aware of challenges in the adoption of BT in supply chain (SC). Therefore, the objective of this research is to provide an overview of BT in SC and modeling of challenges in the adoption of BT in SC.Design/methodology/approachInterpretive structural modeling (ISM) is used to model the challenges of adoption of BT in SC. Challenges are identified by the literature review and verified by expert's opinions.FindingsThis study presents some key challenges, i.e. to develop trust within SC management system, obey the governance rules and regulations of institution while implementation of BT in SC, provide transparency of data, obtain tamperproof data to avoid fraud, improve coordination and information sharing among the SC partners, choose a profit-earning product SC for adoption of BT, adopt societal changes and train the participants to strengthen behavioral intention towards adoption of BT in SC. Additionally, interrelationships among the challenges have been identified. This work discusses potential implications based on challenges and provides a platform for the adoption of BT in SC.Originality/valueThe interrelations of the challenges will provide valuable understandings for developing BT solutions in SC to the practitioners.
Consequences of sustainable innovations on the reshoring drivers’ framework
Authors: Martínez-Mora Carmen , Merino Fernando 
Published: July 2020

PurposeThe purpose of this paper is to illustrate how the introduction of new technologies can lead to reconsidering the division of the production process as well as the location of each stage, which may mean reshoring some of them.Design/methodology/approachThe research is based on the analysis of the consequences of new technologies developed and introduced in the market to be applied in the final stage of jeans manufacturing. The paper presents the relevance of this technology, based on an in-depth interview with the representatives of the firm as well as firm and press reports, specialised websites and so on. The information of the reshoring company has been confirmed by its press releases.FindingsThe results show that a new technology justifies the reconsideration of the stages in which the production process can be divided and, once this division is considered viable, the drivers for reshoring can become more/less important in the reshoring decision.Practical implicationsFirms that previously offshored should consider that new technological processes may lead them to slice their value chains differently, causing them to seek the optimal location for each of the stages.Originality/valueMost of the reshoring literature is based on a static framework where the production process is considered stable and the reasons for reshoring must reside in the change of relevant parameters (such as cost differentials, need to be more flexible, monitoring costs higher than expected, etc.). This paper reveals that changes in the production process, even in traditional sectors, may lead to reshoring/backshoring.
The significance of a sponsored event on lesser-known brands in a competitive environment
Authors: Su Yiran , Kunkel Thilo 
Published: July 2020

Purpose
Existing research neglected examining the environmental effect of an event on the effectiveness of sponsorship activation in a competitive setting. The purpose of this study is to explore how the event environment impacts consumers’ attitudinal and behavioral responses to competitive brands that co-present at an event.

Design/methodology/approach
The research comprised an exploratory pre-test and two studies at a sport event with a retailing environment. The exploratory pre-test was used to examine the competitive relationship in the local market between the market leader and the lesser-known sponsoring brand. Study 1 used structural equation modelling to test how the event environment impacts consumers’ attitudes toward both brands at the post-consumption stage. Study 2 compared actual sales data of the two competing brands to examine the immediate effect of the sponsorship space on consumption.

Findings
The results revealed the event environment had an impact on consumers’ brand attitude toward both the lesser known sponsoring brand and the non-sponsoring market leader. However, the effect on the sponsoring brand that activated its sponsorship was influenced by consumer involvement with the event and was more salient. Furthermore, the product sales of the less-known sponsoring brand outperformed that of the market leader that co-presented at the event.

Originality/value
This study addresses a call to go beyond exploring the brand image of the sponsoring brands in isolation and holistically examine sponsorship effectiveness. The study contributes to knowledge on both attitudinal and actual behavioural outcomes of sponsorship activation in a competitive environment.
Optimal pooling strategies under heterogeneous risk classes
Authors: Klein Florian , Schmeiser Hato 
Published: July 2020

Purpose
The purpose of this paper is to determine optimal pooling strategies from the perspective of an insurer's shareholders underlying a default probability driven premium loading and convex price-demand functions.

Design/methodology/approach
The authors use an option pricing framework for normally distributed claims to analyze the net present value for different pooling strategies and contrast multiple risk pools structured as a single legal entity with the case of multiple legal entities. To achieve the net present value maximizing default probability, the insurer adjusts the underlying equity capital.

Findings
The authors show with the theoretical considerations and numerical examples that multiple risk pools with multiple legal entities are optimal if the equity capital must be decreased. An equity capital increase implies that multiple risk pools in a single legal entity are generally optimal. Moreover, a single risk pool for multiple risk classes improves in relation to multiple risk pools with multiple legal entities whenever the standard deviation of the underlying claims increases.

Originality/value
The authors extend previous research on risk pooling by introducing a default probability driven premium loading and a relation between the premium level and demand through a convex price-demand function.