bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ontology modelling of intelligent HCI in aircraft cockpit
Authors: Zhang Xia , Sun Youchao , Zhang Yanjun 
Published: June 2021

Purpose
Semantic modelling is an essential prerequisite for designing the intelligent human–computer interaction in future aircraft cockpit. The purpose of this paper is to outline an ontology-based solution to this issue.

Design/methodology/approach
The scenario elements are defined considering the cognitive behaviours, system functions, interaction behaviours and interaction situation. The knowledge model consists of a five-tuple array including concepts, relations, functions, axioms and instances. Using the theory of belief-desire-intention, the meta-model of cognitive behaviours is established. The meta-model of system functions is formed under the architecture of sub-functions. Supported by information flows, the meta-model of interaction behaviours is presented. Based on the socio-technical characteristics, the meta-model of interaction situation is proposed. The knowledge representation and reasoning process is visualized with the semantic web rule language (SWRL) on the Protégé platform. Finally, verification and evaluation are carried out to assess the rationality and quality of the ontology model. Application scenarios of the proposed modelling method are also illustrated.

Findings
Verification results show that the knowledge reasoning based on SWRL rules can further enrich the knowledge base in terms of instance attributes and thereby improve the adaptability and learning ability of the ontology model in different simulations. Evaluation results show that the ontology model has a good quality with high cohesion and low coupling.

Practical implications
The approach presented in this paper can be applied to model complex human–machine–environment systems, from a semantics-driven perspective, especially for designing future cockpits.

Originality/value
Different from the traditional approaches, the method proposed in this paper tries to deal with the socio-technical modelling issues concerning multidimensional information semantics. Meanwhile, the constructed model has the ability of autonomous reasoning to adapt to complex situations.
Optimization of a two-echelon supply chain with random demand and random defect rate under strict carbon cap policy
Authors: Ghosh Arindam 
Published: June 2021

PurposeThe yield of defective items and emissions of greenhouse gases in supply chains are areas of concern. Organizations try to reduce the yield defective items and emissions. In this paper, a constrained optimization model is developed with consideration of the yield of defective items and strict carbon cap policy simultaneously and then optimized. Further, sensitivity analyses have been carried out to draw different managerial insights. Precisely, we have tried to address the following research questions: (1) how to optimize the cost for a two-echelon supply chain considering yield of defective items and strict carbon cap policy, (2) how the total expected cost and total expected emissions act with changing parameters.Design/methodology/approachThe mathematical modeling approach has been adopted to develop a model and further optimized it with optimization software. Costs and emissions from different areas of a supply chain have been derived and then the total cost and total emissions have been formulated mathematically. One constrained mixed-integer nonlinear programming (MINLP) problem has been formulated and solved considering emissions-related, velocity and production related-constraints. Further, different sensitivity analyses have been derived to draw some managerial insights.FindingsIn this paper, many decision variables have been calculated with a set of basic values of other parameters. It has been found that both cost and emissions can be controlled by controlling different parameters. It has been also found that some parameters have very little or no influence either on cost or emissions. In most cases, originations may exhaust the given limit of carbon cap to optimize their costs.Originality/valueIn spite of my sincere efforts, no paper has been found that has considered the yield of defective items and strict carbon cap policy simultaneously. In this paper, it is assumed that both demand and defect rates are random in nature. The model, presented in this paper may give insights to develop different supply chain models with consideration of both defective items and strict carbon cap policy. Sensitivity analyses, drawn in this paper may give deep insights to managers and carbon regulatory bodies.
Design of an enhanced fractional order PID controller for a class of second-order system
Authors: Kanagaraj N. , Jha Vishwa Nath 
Published: June 2021

Purpose
This paper aims to design a modified fractional order proportional integral derivative (PID) (FO[PI]λDµ) controller based on the principle of fractional calculus and investigate its performance for a class of a second-order plant model under different operating conditions. The effectiveness of the proposed controller is compared with the classical controllers.

Design/methodology/approach
The fractional factor related to the integral term of the standard FO[PI]λDµ controller is applied as a common fractional factor term for the proportional plus integral coefficients in the proposed controller structure. The controller design is developed using the regular closed-loop system design specifications such as gain crossover frequency, phase margin, robustness to gain change and two more specifications, namely, noise reduction and disturbance elimination functions.

Findings
The study results of the designed controller using matrix laboratory software are analyzed and compared with an integer order PID and a classical FOPIλDµ controller, the proposed FO[PI]λDµ controller exhibit a high degree of performance in terms of settling time, fast response and no overshoot.

Originality/value
This paper proposes a methodology for the FO[PI]λDµ controller design for a second-order plant model using the closed-loop system design specifications. The effectiveness of the proposed control scheme is demonstrated under different operating conditions such as external load disturbances and input parameter change.
Do better agricultural extension and climate information sources enhance adaptive capacity? A micro-level assessment of farm households in rural India
Authors: Jha Chandan Kumar , Gupta Vijaya 
Published: June 2021

Purpose
The farmers used several information sources to gather information about the climatic variability and modern agricultural practices to cope with climate change. The choice of adaptation strategies and the successful implication of adaptation strategies depend on accurate, timely information on the climate variability and precise technical details of adaptation strategies. By keeping the importance of climate information and agricultural extension information in the center, this study aims to conduct a micro-level evaluation of farmers’ choice of climate information, agriculture extension services and agricultural credit sources. This study’s primary objective is to understand how the different sources of climate information and agricultural extension influence farm household adaptation decisions.

Design/methodology/approach
This study has been conducted in three subs agro-climatic zone of the Middle Gangetic Plain region, which falls in India’s Bihar state. This paper has randomly selected seven districts from these three subs agro-climatic zone to collect the data. The analysis of this study is based on survey data collected from 700 farm households. This study has used descriptive statistics and a logistic regression model to assess the sources of climate information, agricultural extension and credit sources and how these sources influence farm households’ adaptation decisions.

Findings
The result of this study shows farmers are using different traditional (sharing experience, newspaper and radio), information and communication technology (mobile and TV) and institutional arrangements (agricultural officer and meteorological department) in the study area. The study’s finding identifies different farm households’ different sources and how these options farming farmers’ adaptation decisions. The study further revealed that institutional factors such as extension services and access to information on climate change increase the probability of adopting knowledge-intensive adaptation strategies such as soil conservation, water conservation, crop insurance and planting horticulture and vegetables.

Research limitations/implications
The study has conducted a micro-level assessment of adaptation behavior at the local level to understand the factor influencing the adaptation decision. This study’s finding is useful in designing the appropriate policy framework for the farm household’s capacity building to enhance their technical skills and awareness toward the institutional arrangements.

Originality/value
This paper’s finding pointed out institutional arrangements’ requirement to improve adaptive capacity to make long-term strategic decisions to cope with climate change.
A comparative study of modified SIR and logistic predictors using local level database of COVID-19 in India
Authors: Bajaj Naman S. , Pardeshi Sujit S. , Patange Abhishek D. , Khade Hrushikesh S. , Mate Kavidas 
Published: June 2021

Purpose
Several national- and state-level studies have been predicting the course of the COVID-19 pandemic using supervised machine learning algorithms. However, the comparison of such models has not been discussed before. This is the first-ever research wherein the two leading models, susceptible-infected-recovered (SIR) and logistic are compared. The purpose of this study is to observe their utility, at both the National and Municipal Corporation level in India.

Design/methodology/approach
The modified SIR and the logistic were deployed for analysis of the COVID-19 patients’ database of India and three Municipal Corporations, namely, Akola, Kalyan-Dombivli and Mira-Bhayander. The data for the study was collected from the official notifications for COVID-19 released by respective government websites.

Findings
This study provides evidence to show the superiority of the modified SIR over the logistic model. The models give accurate predictions for a period up to 14 days. The prediction accuracy of the models is limited due to change in government policies. This can be observed by the drastic increase in the COVID-19 cases after Unlock 1.0 in India. The models have proven that they can effectively predict for both National and Municipal Corporation level database.

Practical implications
The modified SIR model can be used to signify the practicality and effectiveness of the decisions taken by the authorities to contain the spread of coronavirus.

Originality/value
This study modifies the SIR model and also identifies and fulfills the need to find a more accurate prediction algorithm to help curb the pandemic.
The role of parasocial relationship in social media marketing: testing a model among baby boomers
Authors: Zhong Yunying , Shapoval Valeriya , Busser James 
Published: June 2021

Purpose
This study aims to apply parasocial relationship theory to understand the hospitality brand-consumer relationship on social media. Aiming to examine brand-initiated mechanisms that drive relationship development, the study identified two sets of brand actions as antecedents, namely, content-related (utilitarian and hedonic benefits) and interaction-related factors (perceived interactivity and openness). This study also investigated the subsequent impacts of parasocial relationships on customer engagement behaviors and brand loyalty. As baby boomers are an important but understudied consumer cohort in social media marketing, this study empirically tested the proposed model for this specific group.

Design/methodology/approach
A survey was conducted electronically with baby boomer consumers from the USA. The partial least squares analysis was used to test the model validity for this consumer group.

Findings
The results of this study showed that content-related factors had significant effects on the parasocial relationship, which, in turn, significantly influenced customer engagement and brand loyalty.

Research limitations/implications
This study responds to the recent calls from scholars on developing and expanding a nomological network of parasocial relationships to understand consumer-brand relationships in social media. By focusing on baby boomers, this study adds unique insights on understanding online relationships and engagement, specifically for this cohort. Future studies should expand the study by examining other generations, platform differences or using longitudinal methods.

Practical implications
This study informs hospitality marketers in the development and implementation of a successful Facebook relationship building campaign targeting baby boomers.

Originality/value
According to the authors’ knowledge, this is the first study known to have developed a coherent parasocial relationship model that combined content-related benefits, interaction-related factors, online engagement and brand loyalty. It also represents one of the few to examine how hospitality brands can build a parasocial relationship with baby boomers, an important but cohort, on social media and provide actionable insights to hospitality marketers for this generation.
Perceived vulnerability of job loss and satisfaction with life in the hospitality sector in times of pandemic: a multi-mediational approach
Authors: Singh Nidhi , Bhatia Shikha , Nigam Shailendra 
Published: June 2021

PurposeThe COVID-19 pandemic has severely impacted business and viability of firms in the hospitality sector. This paper aims to examine the impact of perceived vulnerability of employees in this sector related to job loss and satisfaction with life. Additionally, it tests whether the impact is reduced for an individual possessing high emotional and financial well-being.Design/methodology/approachThis study uses cross-sectional data obtained through a survey of 312 hospitality sector employees. Using PLS-SEM, hypothesized relationships between constructs are tested.FindingsPerceived vulnerability of job loss negatively impacts satisfaction with life; however, this negative impact gets significantly reduced in the presence of emotional and financial well-being.Research limitations/implicationsThe results provide an impetus to focus on emotional and financial well-being to reduce employees’ vulnerabilities and improve their life satisfaction. In the absence of specific relief programs by the Government and with reduced business activity, employers need to look for innovative ways for ensuring their own sustenance and employee well-being.Originality/valueThis study is one of the initial works on examining how perceived vulnerability of job loss induced by the pandemic on hospitality sector employees’ impacts their satisfaction with life. It also makes a novel attempt to examine emotional well-being and financial well-being, as mediators in this relationship.
Undocumented in the time of pandemic: exploring legal violence, health care and human rights of irregular Filipino migrants in Italy and the UK
Authors: Vilog Ron Bridget T. , Piocos III Carlos M. 
Published: June 2021

Purpose
The purpose of this paper is to examine the effects of states’ pandemic responses to the conditions and vulnerabilities of undocumented Filipino migrants in Italy and the UK. It also explores the role and strategies of migrant organisations in addressing the issues and concerns of undocumented workers.

Design/methodology/approach
Qualitative approaches are used to collect and analyse the narratives of the migrants and migrant organisations. This paper used government reports, policy briefs and documents from international organisations in analysing the socio-political vulnerabilities of undocumented migrants in the context of the global pandemic. In addition, we interviewed leaders of migrant organisations, which are involved in supporting irregular migrants.

Findings
The study reveals that states have exercised a regime of legitimate violence against undocumented workers in Italy and the UK. This regime is imposed not only by the stringent laws and policies that directly and indirectly cause economic, social and even cultural suffering to the migrants but also by the “symbolic violence” manifested in structural and social inequalities, and the exploitative economic order amid the pandemic. Responding to the “regime of fear”, migrant organisations provide immediate relief and “safe spaces” for the undocumented workers.

Originality/value
The paper contributes to the ongoing conversation on state practices in regulating migration by framing the conditions of undocumentation as legal violence that structurally deprives irregular migrants access to health care and human rights amid global health crisis.
Multiclass skin lesion classification using image augmentation technique and transfer learning models
Authors: Swetha R Naga , Shrivastava Vimal K. , Parvathi K. 
Published: June 2021

PurposeThe mortality rate due to skin cancers has been increasing over the past decades. Early detection and treatment of skin cancers can save lives. However, due to visual resemblance of normal skin and lesion and blurred lesion borders, skin cancer diagnosis has become a challenging task even for skilled dermatologists. Hence, the purpose of this study is to present an image-based automatic approach for multiclass skin lesion classification and compare the performance of various models.Design/methodology/approachIn this paper, the authors have presented a multiclass skin lesion classification approach based on transfer learning of deep convolutional neural network. The following pre-trained models have been used: VGG16, VGG19, ResNet50, ResNet101, ResNet152, Xception, MobileNet and compared their performances on skin cancer classification.FindingsThe experiments have been performed on HAM10000 dataset, which contains 10,015 dermoscopic images of seven skin lesion classes. The categorical accuracy of 83.69%, Top2 accuracy of 91.48% and Top3 accuracy of 96.19% has been obtained.Originality/valueEarly detection and treatment of skin cancer can save millions of lives. This work demonstrates that the transfer learning can be an effective way to classify skin cancer images, providing adequate performance with less computational complexity.
The three dimensions of strategic flexibility
Authors: Hoeft Fabian 
Published: June 2021

PurposeStrategic flexibility is a widely discussed concept. Yet discussions remained of qualitative nature or addressed only specific aspects quantitatively underlying the concept. The purpose of this paper is to develop a conceptual model identifying key factors determining strategic flexibility. Once quantified, the model provides firms a profile of each strategic option towards the company vision.Design/methodology/approachThe paper reviews existing and synthesises prior contributions into a conceptual model of strategic flexibility. Based on semi-structured interviews and value mapping, the model is applied using three case studies from the automotive industry.FindingsA total of three main findings were made. First, the concept of strategic flexibility has a simple logic that aligns itself to a variety of automotive companies and visions. However, underlying this remit is an interplay of variables. Previous studies remain fragmented and have only addressed a subset of variables. Second, these variables can be grouped into three dimensions of strategic flexibility – product, process and customer – to convey a holistic understanding of strategic flexibility and its key determinants. Third, due to the uncertainty and complexity involved, depending on the firm and industry characteristics, there cannot be a one-fits-all configuration of the strategic flexibility conceptualisation.Research limitations/implicationsA variety of variables requires consideration to offer a balanced view of all three dimensions of strategic flexibility. Hence, the case studies remain at a necessarily high level.Practical implicationsThe paper offers guidance for management on how to align their firm strategy to product and process contingency factors to satisfy customer needs in line with their company vision.Originality/valueThe paper aims to elevate a discussion that previously remained fragmented and mainly descriptive.
Narcissism, toxic work culture and abusive supervision: a double-edged sword escalating organizational deviance
Authors: Tiwari Mansi , Jha Rimjhim 
Published: June 2021

PurposeIn a nutshell, the purpose of this paper is to accentuate the mask of evils of the organization by discussing different experiences, stories and cases, which is on itself a bizarre because we always talk about the morality and ethos in leading styles.Design/methodology/approachThe study is conducted in India and descriptive in nature. The structural equation modelling technique is used in the paper to test the relationships among the constructs directly and indirectly by mediation effect on how it raises the organizational deviance.FindingsThe outcome of the study indicates that organizational deviance is highly influenced by narcissism, which also raises the toxic work culture and abusive supervision. The mentioned variables not only have a significant effect but also have a partial mediation effect on organizational deviance. The study significantly contributes to the literature with the findings that not only narcissism led to organizational deviance but additionally leads to high arousal through a positive relationship with toxic work culture and abusive supervision strongly leading to organizational deviance.Research limitations/implicationsThe study is for leaders who are more with self-love, demolishing peace and promoting the toxic work culture and deviant behaviours.Practical implicationsHaving narcissistic traits then turns into a complicated situation for employees to decide whether to stay in the organization or leave, and if these intentions are not developing, then it led to deviance on the part of employees.Social implicationsA leader becomes so much obsessed with their egomania and uses the abusive supervision to dominate the team members. This pattern has to stop, as it fabricating the wrong connotation of the tranquillity of followers or team members.Originality/valueThis study contributes to the outcome where leaders could understand the impact of how their excess self-love turns against the workplace peace and results in high deviance.
Mobile parallel robot machine for heavy-duty double-walled vacuum vessel assembly
Authors: Li Changyang , Wu Huapeng , Eskelinen Harri , Ji Haibiao 
Published: June 2021

Purpose
This paper aims to present a detailed mechanical design of a seven-degrees-of-freedom mobile parallel robot for the tungsten inert gas (TIG) welding and machining processes in fusion reactor. Detailed mechanical design of the robot is presented and both the kinematic and dynamic behaviors are studied.

Design/methodology/approach
First, the model of the mobile parallel robot was created in computer-aided design (CAD) software, then the simulation and optimization of the robot were completed to meet the design requirements. Then the robot was manufactured and assembled. Finally, the machining and tungsten inert gas (TIG) welding tests were performed for validation.

Findings
Currently, the implementation of the robot system has been successfully carried out in the laboratory. The excellent performance has indicated that the robot’s mechanical and software designs are suitable for the given tasks. The quality and accuracy of welding and machining has reached the requirements.

Originality/value
This mobile parallel industrial robot is particularly used in fusion reactor. Furthermore, the structure of the mobile parallel robot can be optimized for different applications.