bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effects of airline strategies on environmental sustainability
Authors: Orhan Gamze 
Published: August 2021

Purpose
Deregulation of domestic markets and the liberalization of international markets have dramatically changed air transportation. One of the important results of this change is the environmental effects of air transportation. This study aims to examine the implications of air transportation on environmental sustainability in the context of airline business strategies in liberalized and globalized air transport industry.

Design/methodology/approach
The paper discusses the relationship between liberalization, airline strategies and environmental sustainability of air transportation using the related literature. Then, to show some environmental impacts on the axis of the relationship discussed, emission rates for the aircraft landing and take-off phase were calculated on a global basis based on the aircraft traffic.

Findings
The discussion in the paper shows that the liberalization policies and the strategies of airlines supported by these policies, in essence, contradict the environmental sustainability of air transport. Considering the flight share projections of EUROCONTROL for different aircraft types on a global basis and the World Bank’s global flight traffic forecast for the years 2016 and 2025, it has been demonstrated that the number of aircraft departures will increase by 30%, whilst the number of aircraft emissions will increase by 41.5%.

Practical implications
Airlines are one of the main actors that will play a role in reducing the environmental impacts of air transportation. Therefore, this study is important in giving an idea to both policymakers and airline managers on how airline companies’ strategies should be shaped to realize both corporate sustainability and environmentally sustainable air transportation.

Originality/value
There are many studies in the literature regarding the environmental effects of air transport. However, there are not many studies linking environmental impacts with airline strategies that directly affect air transport demand. This study is different in that it gives environmental sustainability by associating it with its root causes.
Community resilience for urban flood-prone areas: a methods paper on criteria selection using the Fuzzy Delphi method
Authors: Ali Sameer , George Abraham 
Published: August 2021

PurposeCommunity resilience decides a lot on a city's ability to withstand an external shock. It has evolved naturally from a bounce-back approach to a more robust and meaningful bounce-forward process. The study explores gaps found in community resilience and finds that criteria specific to different disasters are absent.Design/methodology/approachThe study uses a multi-criteria decision analysis technique, fuzzy Delphi, to select criteria. Derivation of the initial list of criteria was from a pilot study, a focus group discussion and other literature studies which was followed by the fuzzy Delphi survey.FindingsAfter two rounds of fuzzy Delphi analysis, the consensus among 65 experts resulted in selecting 125 sub-sub-criteria within seven criteria. Findings show that many criteria previously not discussed in other pieces of literature project high fuzzy scores such as “availability of drinking water post-disaster” and “cracking down fake news spreaders by the police”. In addition, positive cooperation between political and religious institutions have proven to expedite disaster recovery.Research limitations/implicationsThe future scope also includes weighing the selected criteria using analytical hierarchy process (AHP).Practical implicationsPolicymakers in the disaster management domain can use the study findings in implementing effective disaster mitigation strategies.Originality/valueThe selection of criteria is based on the community resilience shown by the Kerala community during the floods of 2018 and 2019 (in Kerala). Measures demonstrated by the community need to be studied, which will help foster disaster mitigation better in future scenarios.
Your network is your net worth: political ties and innovation performance
Authors: Farrukh Muhammad , Raza Ali , Waheed Abdul 
Published: August 2021

PurposeBased on the social network theory, this study investigates the impact of political ties on innovation performance. Besides, this study also tests a mediation role of absorptive capacity (AC) and a moderation role of technology turbulence.Design/methodology/approachA hypothetico-deductive approach is adopted to test the hypotheses. Data were collected from the small and medium enterprises (SMEs) managers/owners through a structured questionnaire.FindingsPartial least square structural equation modeling technique is used to analyze the hypothesized relationships; the findings showed that political ties significantly impact the innovation performance, and this relationship is mediated by AC. Moreover, technological turbulence moderated the relationship between political ties and innovation performance.Originality/valueDespite the increasing attention to the role of networking in improving innovation, there is a scarcity of studies on the role of political ties, AC and technology turbulence in fostering organizational innovation; thus, this study is a unique contribution to literature.
Bouncecasting: a seminar gaming approach to foresight
Authors: Kahan James P. 
Published: August 2021

Purpose
This paper aims to present “Bouncecasting,” a seminar gaming foresight approach useful for examining “wicked problems” where the path to the future is uncertain and malleable and where major stakeholders may have different preferences for different futures. The approach gets its name because it goes back and forth between forecasting and backcasting, provides for give and take among different groups of stakeholders and creates and compares multiple scenarios depicting plausible futures.

Design/methodology/approach
After defining Bouncecasting, presenting its main features and providing a recommended way of conducting Bouncecasting studies, the approach is illustrated by four Bouncecasting projects conducted between 1998 and 2004.

Findings
The four projects taken together show that Bouncecasting can be used to address a range of wicked problems in a practical way. The projects considered in sequence show the evolution of the method.

Originality/value
Bouncecasting is a way of doing foresight that examines in an integrated way multiple characteristics of a policy problem, thereby providing promising solutions for complex issues. Although there have been over a dozen Bouncecasting studies conducted by the author and different sets of colleagues, this is the first general description of the approach.
Implications of the Covid-19 mitigation model on people’s right to health in Uganda
Authors: Buwule Robert Stalone , Ssebunya Margaret , Kisitu Gyaviira 
Published: August 2021

Purpose
The purpose of this paper is to review the approach used by the Ugandan Government in implementing the Covid-19 mitigation model and establish whether it did not expose government’s failure to soundly protect and respect all her citizens’ right to health during the first four months of the Covid-19 crisis in the country.

Design/methodology/approach
The study was qualitative focusing on a population of households of vulnerable and chronically ill patients in Mukono and Wakiso districts of Uganda. The sample was identified through purposive and snowball sampling techniques. Purposive and snowball sampling was chosen for this study to select unique informative cases which were subjected to in-depth interviews.

Findings
The findings of the study revealed that disadvantaged and vulnerable citizens of Uganda experienced severe and increased shortages of food, increased cases of ill-health, compromised ability and mobility to access health services as a result of the government's Covid-19 mitigation model.

Research limitations/implications
The data collection exercise was conducted during the Covid-19 lockdown when the mobility was restricted to only essential services so data was collected in the two districts of Mukono and Wakiso in Uganda.

Practical implications
Pandemic mitigation models ought to be people-centred executed by a multidisciplinary team which are empathetic towards the views of disadvantaged communities and thereby cultivate a culture of care over time.

Social implications
Public health models and policies work more effectively if they are contextualized to work for both the high and low classes of people across the whole spectrum.

Originality/value
Given this awareness of the Covid-19 mitigation model, this paper unveils the immediate consequential effects of the model considering the manner under which it was formulated and implemented in the Ugandan society. While the government implemented the model in exercise of its obligations, contextual factors had advance limitations to the efficacy of the model. Most significantly, among the expectant mothers, the old, the sick with terminal illnesses, the physically challenged and hunger-stricken families with no daily sources of income.
Using lean techniques and discrete-event simulation for performance improvement in an outpatient clinic
Authors: Demirli Kudret , Al Kaf Abdulqader , Simsekler Mecit Can Emre , Jayaraman Raja , Khan Mumtaz Jamshed , Tuzcu E. Murat 
Published: August 2021

Purpose
Increased demand and the pressure to reduce health-care costs have led to longer waiting time for patients to make appointments and during the day of hospital visits. The purpose of this study is to identify opportunities to reduce waiting time using lean techniques and discrete-event simulation (DES).

Design/methodology/approach
A five-step procedure is proposed to facilitate the effective utilization of lean and DES to improve the performance of the Otolaryngology Head and Neck Surgery Outpatient Clinic at Cleveland Clinic Abu Dhabi. While lean techniques were applied to reduce the potential sources of waste by aligning processes, a DES model was developed to validate the proposed solutions and plan patient arrivals under dynamic conditions and different scenarios.

Findings
Aligning processes resulted in an efficient patient flow reducing both waiting times. DES played a complementary role in verifying lean solutions under dynamic conditions, helping to plan the patient arrivals and striking a balance between the waiting times. The proposed solutions offered flexibility to improve the clinic capacity from the current 176 patients up to 479 (without violating the 30 min waiting time policy) or to reduce the patient waiting time during the visit from the current 33 min to 4.5 min (without violating the capacity goal of 333 patients).

Research limitations/implications
Proposing and validating lean solutions require reliable data to be collected from the clinic and such a process could be laborious as data collection require patient and resource tracing without interfering with the regular functions of the clinic.

Practical implications
The work enables health-care managers to conveniently conduct a trade-off analysis and choose a suitable inter-arrival time – for every physician – that would satisfy their objectives between resource utilization (clinic capacity) and average patient waiting time.

Social implications
Successful implementation of lean requires a supportive and cooperative culture from all stakeholders involved.

Originality/value
This study presents an original and detailed application of lean techniques with DES to reduce patient waiting times. The adopted approach in this study could be generalized to other health-care settings with similar objectives.
A novel approach to diagnose ADHD using virtual reality
Authors: Son Ha Min , Lee Dong Gyu , Joung Yoo-Sook , Lee Ji Woo , Seok Eun Ju , Chung Tai-Myoung , Oh Soohwan 
Published: August 2021

Purpose
The current golden standard for attention deficit hyperactivity disorder (ADHD) diagnosis is clinical diagnosis based on psychiatric interviews and psychological examinations. This is suboptimal, as clinicians are unable to view potential patients in multiple natural settings – a necessary condition for objective diagnosis. The purpose of this paper is to improve the objective diagnosis of ADHD by analyzing a quantified representation of the actions of potential patients in multiple natural environments.

Design/methodology/approach
The authors use both virtual reality (VR) and artificial intelligence (AI) to create an objective ADHD diagnostic test. Diagnostic and statistical manual of mental disorders, 5th Edition (DSM-5) and ADHD Rating Scale are used to create a rule-based system of quantifiable VR-observable actions. As a potential patient completes tasks within multiple VR scenes, certain actions trigger an increase in the severity measure of the corresponding ADHD symptom. The resulting severity measures are input to an AI model, which classifies the potential patient as having ADHD in the form inattention, hyperactivity-impulsivity, combined or neither.

Findings
The result of this study shows that VR-observed actions can be extracted as quantified data, and classification of this quantified data achieves near-perfect sensitivity and specificity with a 98.3% accuracy rate on a convolutional neural network model.

Originality/value
To the best of the authors’ knowledge, this is the first study to incorporate VR and AI into an objective DSM-5-based ADHD diagnostic test. By including stimulation to the visual, auditory and equilibrium senses and tracking movement and recording voice, we present a method to further the research of objective ADHD diagnosis.
Influence of temperature on wear performance of greases in rolling bearings
Authors: Rosenkranz Laura , Richter Silvia , Jacobs Georg , Mikitisin Adrian , Mayer Joachim , Stratmann Andreas , König Florian 
Published: August 2021

Purpose
Rolling bearing operation under mixed and boundary lubrication conditions may lead to heavy adhesive or abrasive wear, which may lead to wear-induced rolling bearing failure. The purpose of this paper is to investigate the wear protection capabilities of different grease compositions at varying temperatures. It is considered that the temperature influences the lubrication conditions, the behaviour of grease components, namely, bleed oil and thickener, as well as the tribofilm formation due to tribo-chemical interactions between additives and surfaces.

Design/methodology/approach
In this study, four different greases were produced on the basis of a mineral base oil by varying the thickener and the addition of ZDDP. Various grease-lubricated rolling bearing experiments were conducted in a wide temperature range from 0°C to 120°C. Subsequently, the wear pattern, tribofilm formation and grease structures were analysed. Thereby, the influence of the different grease thickeners and the performance of ZDDP as a common antiwear and extreme pressure additive was evaluated.

Findings
The results show a strong temperature-dependency and allow a classification of temperature ranges concerning wear protection. At low temperatures, all greases provide a very good wear protection without the evidence of additive-based tribofilm formation. In the experiments at elevated temperatures, ZDDP tribofilms were formed. The formation depends on the thickener type: in comparison to lithium thickener, polyurea thickener favours more protective tribofilms at the same temperature. The experimental results show that medium temperatures in the range of 40°C–60°C are critical concerning wear due to the insufficient tribolayer formation and limited load carrying capacity of the grease.

Originality/value
Temperature is a key operating parameter for grease lubrication in roller bearings. The experimental work enables consideration of different impact pathways of temperature by combining roller bearing tests and microanalysis.
Islamic stock markets and COVID-19-induced shocks: simulations with global VAR approach
Authors: Adediran Idris A. , Salawudeen Abdulfatai , Ashraf Sabzwari Syed Nasir 
Published: August 2021

Purpose
This paper aims to make the first attempt to study the transmission of COVID-19 pandemic-induced shocks to the global Islamic stock markets in the midst of the overall macroeconomic environment and cross-country trade linkages. This is made possible by constructing a global vector autoregressive (GVAR) model and with it the authors arrive at noteworthy conclusions.

Design/methodology/approach
The paper estimates both fixed and time-varying weights GVAR models for 15 Islamic stock markets with 5,000 bootstrap replications and reports impulse response functions. It simulates four shocks associated with the pandemic: first, a standard error negative shock to oil price; second, a standard error negative shock to the global Islamic stock markets; third, a standard error positive shock to equity-based uncertainty index; and fourth, a standard error negative shock to economic activity (inflation).

Findings
The paper shows that the pandemic engenders immediate negative impacts on the Islamic stock markets with the biggest impacts borne by the USA and China and the least by markets in the Middle East. The study documents the magnitudes of the responses to the shocks and shows that the impacts of the pandemic will take about 20 months to wither completely.

Originality/value
The findings throw up diversification benefits for investors toward the UAE, Oman, Bahrain and other Middle East markets especially during crisis. It further reveals the need for counter-cyclical measures in all countries to curtail the negative impacts of the pandemic which could linger for up to 20 months.
Study on generalized friction coefficient between base and surface layers of asphalt pavement
Authors: Yu Tengjiang , Zhang Haitao , Sun Junfeng , Wang Yabo , Huang Shuang , Chen Dan 
Published: August 2021

Purpose
Using typical structure of asphalt pavement in Harbin area of China, and the formula of generalized friction coefficient between base and surface layers of asphalt pavement in cold area is established.

Design/methodology/approach
Through structural characteristics analysis of asphalt pavement in cold area, the generalized formula of friction coefficient between base and surface layers of asphalt pavement in cold area is derived. The formula can quickly calculate the friction coefficient between layers of asphalt pavement.

Findings
Based on quantitative analysis to the contacting state between layers of asphalt pavement in cold area, the relationships between generalized friction coefficient and resilient modulus of asphalt mixtures, temperature shrinkage coefficient and temperature have been established.

Originality/value
The findings can enrich the description methods about the contacting state between layers of asphalt pavement, and have a certain theoretical and practical value. Through the application of the formula of generalized friction coefficient between layers, it can provide a technical basis for the asphalt pavement design, construction and maintenance in cold area.
Enablers and barriers to circular supply chain management: a decision-support tool in soft wheat bread production
Authors: Formentini Marco , Secondi Luca , Ruini Luca , Guidi Matteo , Principato Ludovica 
Published: August 2021

PurposeThere is a limited understanding of effective strategies for tackling food loss and waste (FLW) following a circular supply chain management approach. The aim of this study is to analyze the role of the FLW Reporting and Accounting Standard for identifying FLW occurrences throughout the agri-food supply chain and facilitate their measurement. Our objective is to describe how this FLW is then reused within a circular economy (CE) perspective, thus enabling companies to implement a circular supply chain approach for effective decision-making based on the concept of waste hierarchies, the 3R and 4R rules.Design/methodology/approachAn in-depth analysis of Barilla's soft bread supply chain is provided in this study. By gathering both qualitative and quantitative data, this study investigates the implementation of the FLW standard by (1) identifying the main enablers and obstacles in measuring FLW throughout the entire production system; (2) providing a useful standardized tool for sustainable FLW measurement, minimization and reuse in other agricultural supply chains to enable circular economy approaches and (3) developing a decision-support strategy to use within the company for effective measurement, analysis and reuse according to a CE perspective.FindingsThe analyses carried out throughout Barilla's soft wheat bread supply chain provide an interesting example of a circular management system since almost nothing is lost or wasted while the value of resources is recovered through reuse thanks to a systematic and integrated measurement, representing a basis for effectively minimizing waste. The importance of developing an interconnected supply chain management emerged in order to obtain a comprehensive accounting framework for accurately quantifying and reporting the overall amount of wastage generated in the various phases of food production, paying particular attention to ex ante prevention initiatives and ex-post assessment actions.Originality/valueAn interdisciplinary approach integrating circular economy and supply chain management research streams was adopted in order to develop a decision-support tool that also includes the identification of the main facilitators and obstacles to the implementation of a comprehensive standardized accounting process that would enable companies to reduce-reuse-recycle losses and waste throughout the entire production process. Besides the studies available in the literature, the original of this study is that it focuses on organizational implications related to FLW measurement.
A decision support system to solve the problem of health care priority-setting
Authors: Pinho Micaela , Moura Ana 
Published: August 2021

Purpose
The purpose of this study is to provide a decision support tool to deal with the problem of seting priorites among patients competing for limited health care resources. Limited resources and unlimited demands prevent health-care services to be provided to all those in need. This became publicity evident with the current Covid-19 pandemic. Although controversial, health care rationing has always existed and is now inevitable. Setting priorities becomes then inevitable. How to define those priorities is a complex and yet irresolvable issue mainly because it involves several and conflicting criteria, translated into efficiency and equity considerations. This is why multi-criteria decision analysis (MCDA) was introduced to health care as an appropriate decision-support framework for solving complex problems.

Design/methodology/approach
This paper proposes the application of two combined approaches – analytic hierarchy process (AHP)-Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and AHP-VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), as decision support tools to rank patients with competing needs in a more effective and equitable way. A rationing scenario involving four patients, differentiated by personal characteristics and health conditions, is used to illustrate, test and compare the applicability of both approaches. After extraction of the relative weights of the prioritization criteria involved in the hypothetical scenario from paired wise comparison methods, TOPSIS and VIKOR priority setting methods were designed.

Findings
Results suggest that patients ranking from both combination approaches are similar and in accordance with the order made directly by health-care professionals. Therefore, the relative weights computed by AHP in combination with TOPSIS and/or VIKOR methods could be used with suitable applicability by health-care decision-makers.

Originality/value
This study is the first attempt to apply a combination of MCDA methods to patients’ prioritization context and the first to cross previous studies to deepen and consolidate the research.