bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of customer and supplier collaboration on green supply chain performance
Authors: Andalib Ardakani Davood , Soltanmohammadi Asieh , Seuring Stefan 
Published: June 2022

PurposeThe purpose of this study is to determine the extent to which institutional pressures affect supplier and customer collaboration and how collaboration explains green supply chain performance using institutional and stakeholder theories.Design/methodology/approachThe paper builds on empirical evidence gathered from responses of Iranian industrial managers based on a self-administered survey. The hypotheses in the conceptual model are tested using Smart-PLS (partial least square).FindingsThe results provide evidence that regulatory requirements and internal motivators, as institutional pressure, enable customer and supplier collaboration. Furthermore, customer collaboration has a positive effect on supplier collaboration and, consequently, positively affects environmental and economic performance. But supplier collaboration is just positively affecting environmental performances and is not effective on economic performance.Research limitations/implicationsThe subject is that the study is a questionnaire-based survey, and the validity and reliability of the results are influenced by the respondents' idiosyncrasies. This study provides a comprehensive model of drivers, supply chain collaboration and performance in the context of the industry sector. The study contributes by providing empirical data with a focus on customer and supplier collaboration and their interrelationship in GSCM modelling.Originality/valueThe current paper is one of the new field of research which demonstrate the significance of customer and supplier collaboration with each other to attain green performance. It also contributes to show the effect of institutional pressure on the customer-supplier collaboration that fosters green performance in the supply chain.
Radar echo simulation of wind turbines array based on scattering center
Authors: Tang Bo , Yang Xiaofeng , Zhang Jiangong , Zhao Zhibin , Chen Hao , Liu Gang 
Published: June 2022

Purpose
This paper aims to propose a method for accurate radar echo simulation of wind turbines (WTs) array. It can solve the problem of passive interference from wind farms to neighboring radar stations.

Design/methodology/approach
First of all, the equivalent model of scattering centers of a single WT is obtained by using the spatial spectrum estimation method, and the accuracy of this model is verified by the scaled model experiment; then scattering centers model of WTs array was established by using the spatial coordinate transformation method. According to the position relationship between the model and the radar, and combined with the multipath scattering theory, the radar echo equation of WTs array was deduced. Finally, the simulation analysis is carried out with the four GoldWind 77/1500 WTs as an example and compared with the traditional methods.

Findings
This paper verifies the accuracy of the equivalent model of scattering centers through the WT scaled model experiment, and through simulation analysis, it is found that the result of this method is more consistent with the multipath scattering of radar echo between WTs array in practical engineering than the traditional method.

Originality/value
Based on the theory of high-frequency scattering, this paper introduces scattering centers into the solution of radar echo and considers the multipath scattering of radar echo, then a method for solving the radar echo of WTs array based on scattering centers is proposed.
Topology optimization in magnetic shield design by using density method in combination with CNN
Authors: Isshiki Rie , Kawamata Ryota , Wakao Shinji , Murata Noboru 
Published: June 2022

Purpose
The density method is one of the powerful topology optimization methods of magnetic devices. The density method has the advantage that it has a high degree of freedom of shape expression which results in a high-performance design. On the other hand, it has also the drawback that unsuitable shapes for actually manufacturing are likely to be generated, e.g. checkerboards or grayscale. The purpose of this paper is to develop a method that enables topology optimization suitable for fabrication while taking advantage of the density method.

Design/methodology/approach
This study proposes a novel topology optimization method that combines convolutional neural network (CNN) as an effective smoothing filter with the density method and apply the method to the shield design with magnetic nonlinearity.

Findings
This study demonstrated some numerical examples verifying that the proposed method enables to efficiently obtain a smooth and easy-to-manufacture shield shape with high shielding ability. A network architecture suitable as smoothing filter was also exemplified.

Originality/value
In the field of magnetic field analysis, very few studies have verified the usefulness of smoothing by using CNN in the topology optimization of magnetic devices. This paper develops a novel topology optimization method that skillfully combines CNN with the nonlinear magnetic field analysis and also clarifies a suitable network architecture that makes it possible to obtain a target device shape that is easy to manufacture while minimizing the objective function value.
Finite element modeling and simulating pilling of polyester fabric
Authors: Xiao Qi 
Published: June 2022

PurposeThe paper aims to build a finite element simulation model for pilling of polyester hairiness on the fabric to study the effects of hairiness performance on pilling and reveal pilling mechanisms.Design/methodology/approachThe finite element simulation model of pilling of polyester hairiness was established by ABAQUS. Polyester hairiness was treated as elastic thin rod, which was divided by two-node linear three-dimensional truss element. The effects of hairiness elastic modulus, hairiness friction coefficient and hairiness diameter on frictional dissipation energy, strain energy and kinetic energy produced by pilling have been studied. The analysis solution values were compared with the finite element simulation results, which was used to verify finite element simulation.FindingsThe paper provides new insights about how to reveal pilling mechanisms of polyester hairiness with different performance. Comparing finite element simulation results with analysis solutions shows that the fitness is greater than 0.96, which verifies finite element simulation. Larger hairiness elastic modulus gives rise to higher friction dissipation energy and strain energy of hairiness but lower kinetic energy. Increasing friction coefficient enhances friction dissipation and strain energy of hairiness. However, kinetic energy decreases with the increase of friction coefficient. Hairiness diameter also has an important effect on hairiness entanglement and pilling. Increasing hairiness diameter can decrease friction dissipation energy but enhance strain energy and kinetic energy.Research limitations/implicationsFinite element simulation was verified by analysis solutions. The solutions include friction dissipation energy, strain energy and kinetic energy, which cannot measured b experiment. Therefore, researchers are encouraged to simulate pilling to obtain pilling grades, which be compared with experiment results.Originality/valuePilling of polyester hairiness was simulated by ABAQUS. This method makes pilling process visualization, and pilling mechanisms was revealed from non-linear dynamics.
Student e-learning service quality, satisfaction, commitment and behaviour towards finance courses in COVID-19 pandemic
Authors: Ali Muhammad , Puah Chin-Hong , Fatima Shafaque , Hashmi Anum , Ashfaq Muhammad 
Published: June 2022

PurposeThis research investigates the relationship between e-learning service quality dimensions, student e-learning satisfaction, commitment and behaviour towards finance courses in higher education institutes of Pakistan.Design/methodology/approachDue to specific study objectives, the authors gathered sample data of 359 university students who were enrolled in the traditional learning system and shifted to the e-learning environment. The study employed partial least squares-structural equation modelling (PLS-SEM) based approach using Smart PLS version 3.0.FindingsThe results indicated that out of four e-learning service quality dimensions, three dimensions (system quality, course material and instructor quality, information technology (IT) and support service quality) positively impacted student e-learning satisfaction. The other dimension of e-learning service quality (course website quality) showed a positive but insignificant effect on e-learning satisfaction. Additionally, e-learning satisfaction was positively related to e-learning commitment, which, in turn, has a positive and significant influence on student e-learning behaviour towards finance courses.Originality/valueOverall, the study’s findings provide useful policy implications for higher education institutes, particularly in the coronavirus disease 2019 (COVID-19) pandemic.
Explicating the factors influencing firm performance: study of social enterprises in India
Authors: Pandey Nisha , Bhattacharyya Som Sekhar , Kharat Manoj G. 
Published: June 2022

Purpose
The purpose of this study was to ascertain organizational factors that impacted the performance of social enterprises.

Design/methodology/approach
For this research study, a structured close-ended survey questionnaire was prepared based upon literature inputs. The data was collected from 370 executives in social enterprises in India. The data was analysed through structural equation modelling. The data was analysed towards hypothesis development as well as model development explicating the success of social enterprises.

Findings
This research study’s findings developed a model towards explicating firm level performance in social enterprises. The antecedent factors were organizational commitment (OC), organizational orientation (OO), employee empowerment (EE) and top management support (TMS). The factor business innovation capability (BIC) was the mediating variable, whereas the firm performance (FP) of social enterprises was the dependent variable. Business innovation creativity had full mediation effect.

Research limitations/implications
In this research study, the variable influencing the performance of social enterprises were ascertained. TMS and EE were independent organizational variables in any social enterprise along with the two organizational factors of OC as well as OO that did matter for enhancement of BIC of social enterprises. BIC had full mediating effect based upon the mentioned factors of OC, organization orientation, EE and TMS, which subsequently manifested in superior social enterprises FP.

Practical implications
Social enterprises had to balance the twin objectives of social good (doing good for society) as well as earning economic benefits for the enterprise. Given this challenge, social enterprises had to develop an organizational context in which employees were empowered towards undertaking social issues proactively. Furthermore, top management team must provide support for such causes. When this aspect coupled with the presence of OC and OO then in the social enterprise, BIC got developed. With the presence of BICs, it became easier for social enterprises to undertake innovation that were also socially oriented and led to superior FP.

Social implications
It has often been observed in developing countries like India that social innovation and entrepreneurial ventures associated with these have become a necessity. However, such ventures often do not to scale up. Hence, its case for business continuance and sustenance have been challenging. This study provided insights regarding the existential aspect of social enterprises in terms of its performance.

Originality/value
This study was one of the first research studies that integrated the factors of OC, OO, EE and TMS in building organizational capability towards innovation in social enterprises. This in turn contributed towards the improvement of FP of social enterprises.
Endings, freezing, and new beginnings: the return of customer comfort to Massachusetts restaurants following the pandemic
Authors: Palabiyik John Umit , Cronin Brendan , Markham Bagnera Suzanne D. , Legg Mark P. 
Published: June 2022

PurposeThis study investigates restaurant patrons' comfort level with the sudden shift in the dining-in climate within the state of Massachusetts during the onset of the COVID-19 pandemic.Design/methodology/approachAn exploratory study utilized learning algorithms via gradient boosting techniques on surveyed restaurant patrons to identify which restaurant operational attributes and patron demographics predict in-dining comfort levels.FindingsPast consumers' eating habits determine how much their behavior will change during a pandemic. However, their dining-in frequency is not a predictor of their post-pandemic dining-in outlook. The individuals who were more comfortable dining in prior to the pandemic dined in more often during the COVID pandemic. However, they had a poorer outlook on when dining in would return to normal. Although there are no clear indicators of when and how customers will embrace the new norm (a combination of pre-, peri-, and post-pandemic), the results show that some innovative approaches, such as limiting service offerings, are not well accepted by customers.Practical implicationsThe study offers several managerial implications for foodservice providers (i.e. restaurants, delivery services, pick-up) and investors. In particular, the study provides insights into the cognitive factors that determine diners' behavioral change in response to a pandemic and their comfort level. Operators must pay attention to these factors and consider different offering strategies when preparing to operate their business amid a pandemic.Originality/valueThis is a study of a specific location and period. It was conducted in Massachusetts before a vaccine was available. The restaurant industry was beset with uncertainty. It fills a gap in the current literature focused on the COVID-19 pandemic in customers' transition from pre-COVID-19 dining-in behaviors to customers' refreshed COVID-19 outlook and industry compliance with newly established hygiene and safety standards.
Ramadan effect and indices movement estimation: a case study from eight Arab countries
Authors: Al-Najjar Dania , Assous Hamzeh F. , Al-Najjar Hazem , Al-Rousan Nadia 
Published: June 2022

PurposeThis study aims to investigate the Ramadan effect anomaly on the stock markets’ indices and estimate the movement of these indices in the light of the phenomenon.Design/methodology/approachStock market indices are used as financial indicators to show the Ramadan effect. To validate this effect, eight Arab countries, which comprises Jordan, Saudi Arabia, Oman, Qatar, United Arab Emirates, Bahrain, Kuwait and Egypt, are adopted. A linear regression withR2, error, F-value andp-value is considered to analyze and understand the effect of Ramadan on the aforementioned Arab countries.FindingsResults found that Ramadan has a strong effect on estimating and predicting the performance of stock market indices in all studied Arab countries, except Kuwait. Results found that the majority of the Ramadan effect occurred after the second 10 days of Ramadan, where the direction of stock indices is opposite of Ramadan variables in all aforementioned cases.Originality/valueThis study is considered as an enrichment of the existing literature review with regard to the Ramadan effect. The study presents a new methodology that can be followed to improve the predictions of stock market indices by using a weight least square method with linear regression. This study presents the most affected periods of time that could decrease or increase the stock prices. Finally, the study proves the capability of the weight least square method in building a predictive model that takes the date into consideration in predicting stock market indices.
The Great Resignation: the great knowledge exodus or the onset of the Great Knowledge Revolution?
Authors: Serenko Alexander 
Published: June 2022

PurposeThe purpose of this Real Impact Viewpoint Article is to analyze the phenomenon of the Great Resignation from the knowledge management perspective.Design/methodology/approachIt applies the knowledge-based view of the firm to the notion of the Great Resignation, reviews the extant literature and relies on secondary data.FindingsThe Great Resignation has created numerous knowledge-related impacts on the individual, organizational and national levels. On the individual level, because of an accelerating adoption of freelancing, the future may witness an expansion of the category of the knowledge worker and a growing need for personal knowledge management methods and information technologies. Organizational effects include knowledge loss, reduced business process efficiency, damaged intra-organizational knowledge flows, lower relational capital, lost informal friendship networks, difficulty attracting the best human capital, undermined knowledge transfer processes and knowledge leakage to competition. Countries may also witness the depletion of national human capital.Practical implicationsManagers should learn how to use the available human capital more efficiently; realize the importance of universal succession planning programs; automate knowledge-centric business processes; facilitate knowledge-based IT initiatives by implementing self-functioning virtual communities, including enterprise social networks; restructure organizations to optimize intra-organizational knowledge flows; adjust strategies, products and target markets based on the available human capital; and create telecommuting conditions for people with disabilities who cannot be physically present. Knowledge management scholars are presented with a unique opportunity to convert the numerous theoretical insights accumulated within the boundaries of their discipline into practical application to facilitate the Great Knowledge Revolution.Originality/valueThis viewpoint offers managerial recommendations and inspires future Great Resignation investigations.
A comprehensive nutritional support perspective in patients with COVID-19: a review
Authors: Ebrahimpour-Koujan Soraiya , Sohrabpour Amir Ali , Safari Saeid , Baziar Nima , Hadavi Shima , Payahoo Laleh , Shabani Samaneh 
Published: June 2022

Purpose
Coronavirus disease-2019 (COVID-19) is becoming a crucial health problem worldwide. Continued and high-speed mutations of this virus result in the appearance of new manifestations, making the control of this disease difficult. It has been shown that well-nourished patients have strong immune systems who mostly have short-term hospitalization compared to others. The purpose of this study is to review the major nutrients involved in the immune system reinforcement and to explain nutritional aspects during the recovery of COVID-19.

Design/methodology/approach
In this review paper, the mechanistic role of nutrients in boosting the immune system and the nutritional aspects during the recovery of COVID-19 patients were discussed. Papers indexed in scientific databases were searched using antioxidants, COVID-19, inflammation, immune system, macronutrient, micronutrient and probiotic as keywords from 2000 to 2022.

Findings
Because of the adverse effects of drugs like thrombosis, pulmonary embolism and hypercholesterolemia, a balanced diet with enough concentrations of energy and macronutrients could increase the patient's durability. The inflammatory cytokines in a vicious cycle delay patients’ rehabilitation. The main mechanistic roles of micronutrients are attributed to the downregulation of virus replication and are involved in energy homeostasis. Dysbiosis is defined as another disturbance among COVID-19 patients, and supplementation with beneficial strains of probiotics helps to exert anti-inflammatory effects in this regard. Being on a well-planned diet with anti-inflammatory properties could reverse cytokine storms as the major feature of COVID-19. Future studies are needed to determine the safe and effective dose of dietary factors to control the COVID-19 patients.

Originality/value
Being on a well-planned diet with anti-inflammatory properties could reverse cytokine storms as the major feature of COVID-19. Future studies are needed to determine the safe and effective dose of dietary factors to control the COVID-19 patients.
Consumers’ opinions, use of food labels and knowledge of food additives
Authors: Bayram Hatice Merve , Ozturkcan Arda 
Published: June 2022

Purpose
This study aims to determine what consumers take into consideration while buying food and to increase awareness. We also demonstrated food additives knowledge, and the association between food additive consumption and illness.

Design/methodology/approach
An online survey was used to collect data from respondents (n = 433).

Findings
Gender and knowledge of food additives and E numbers were found to be statistically different, as were education status and knowledge of food additives (p < 0.05). When purchasing foods, 40.0% of the respondents seldom read labels and also 34.9% were reading for each buy who verified the product’s expiration date (94.2%), followed by brand name (84.8%). Sucralose, Acesulfame potassium (Ace-K) and aspartame consumption were associated with type II diabetes mellitus (T2DM). Additionally, sulfite consumption was linked to diarrhea/constipation.

Research limitations/implications
This study has some limitations. First, the study was cross-sectional, which does not allow the establishment of causal relationships for the associations found here. Second, the study was limited to one city in Turkey. Therefore, the study's findings cannot be extrapolated to Turkey.

Practical implications
Nutrition education should be given by the experts, and the policies should be implemented so that food labels may be used more effectively. Furthermore, nutritional education and policies can increase the general public's awareness of food additives.

Social implications
Nutrition education should be given by the experts, and the policies should be implemented so that food labels may be used more effectively. Furthermore, nutritional education and policies can increase the general public's awareness of food additives.

Originality/value
Consumers must be knowledgeable about food additives and E numbers. However, the findings revealed that the majority of Turkish consumers seldom read product labels, and the use of several food additives resulted in negative health repercussions. Therefore, professionals should provide nutrition education, and legislation should be put in place so that food labels may be used more effectively.