Search results

Partitioned analysis is an increasingly popular approach for modeling complex systems with behaviors governed by multiple, interdependent physical phenomena. Yielding accurate representations of reality from partitioned models depends on the availability of all necessary constituent models representing relevant physical phenomena. However, there are many engineering problems where one or more of the constituents may be unavailable because of lack of knowledge regarding the underlying principles governing the behavior or the inability to experimentally observe the constituent behavior in an isolated manner through separate-effect experiments. This study aims to enable partitioned analysis in such situations with an incomplete representation of the full system by inferring the behavior of the missing constituent.

This paper presents a statistical method for inverse analysis infer missing constituent physics. The feasibility of the method is demonstrated using a physics-based visco-plastic self-consistent (VPSC) model that represents the mechanics of slip and twinning behavior in 5182 aluminum alloy. However, a constituent model to carry out thermal analysis representing the dependence of hardening parameters on temperature is unavailable. Using integral-effect experimental data, the proposed approach is used to infer an empirical constituent model, which is then coupled with VPSC to obtain an experimentally augmented partitioned model representing the thermo-mechanical properties of 5182 aluminum alloy.

Results demonstrate the capability of the method to enable model predictions dependent upon relevant operational conditions. The VPSC model is coupled with the empirical constituent, and the newly enabled thermal-dependent predictions are compared with experimental data.

The method developed in this paper enables the empirical inference of a functional representation of input parameter values in lieu of a missing constituent model. Through this approach, development of partitioned models in the presence of uncertainty regarding a constituent model is made possible.

Consumers’ preferences for more sustainable dietary patterns and more climate-friendly foods can play a significant role in mitigating the effects of climate change. Accordingly, the present cross-sectional study aimed to examine the role of climate change worry and awareness of ecological footprint reduction behaviours in undergraduate consumers’ adherence to the Mediterranean diet and climate-friendly food choices.

This cross-sectional study was carried out with 600 healthy undergraduate students, including 255 (42.5%) males and 345 (57.5%) females. They completed the climate change worry scale, the awareness scale for reducing ecological footprint and the Mediterranean diet adherence scale. In addition, participants’ climate-friendly diet scores (CFDS) were calculated to evaluate climate-friendly food choices. Data were analysed using SPSS software.

Linear regression models indicated that climate change worry was positively associated with adherence to the Mediterranean diet (β = 0.121, p = 0.003) and CFDS (β = 0.087, p < 0.001). Similarly, a positive association was observed between the awareness of ecological footprint reduction behaviours and adherence to the Mediterranean diet (β = 0.179, p < 0.001) and CFDS (β = 0.098, p < 0.001).

The results may indicate that worry about climate change and awareness of ecological footprint reduction behaviours can promote higher adherence to the Mediterranean diet and more climate-friendly food choices, but the observed associations do not imply causality, and further studies are required to determine whether causal links exist.

This study examined the relationships between climate change worry, awareness of ecological footprint reduction behaviours, adherence to the Mediterranean diet and climate-friendly food choices in a single study on undergraduate students.

This chapter explains the role and potential of colour and lighting as two important elements of the service atmosphere in tourism and hospitality service encounters. The chapter first explains the importance of colour and lighting in services from the perspective of customers’ sensory perceptions. Then, the chapter provides examples to demonstrate how psychological/neuro-marketing tools of Eye Tracker and Facial Recognition, Galvanic Skin Response (GSR) and Heart Rate (HR) can be used to understand the role of colour and lighting in customer satisfaction in tourism and hospitality service encounters. Based on this perspective, the study offers recommendations to design service environments in terms of colour and lighting.

The purpose of this paper is to investigate the effects of self-efficacy, process feedback and task complexity on decisions by managers to continue or discontinue a new product after receiving negative performance feedback.

This paper uses a classroom experiment design and uses logistic regression and a chi-square test to analyze the data.

The findings of this paper show that self-efficacy, process feedback and task complexity have not only main effects but also interactive effects on managers’ go or no-go decisions; further, the main effects are mediated by interactions. The effect of self-efficacy is moderated by process feedback and task complexity. Process feedback and task complexity also have an interactive effect on decisions about new products by decision-makers.

This paper extends the theory of escalation of commitment (EOC) by showing that self-efficacy, process feedback and task complexity can influence decision-makers’ go or no-go decisions after they have received negative performance feedback.

This paper provides useful guidelines for managers on how to reduce the likelihood of EOC.

The originality and value of this paper lie in its being the first to examine the effects of process feedback and task complexity on the EOC.

This paper explores the relationships between Industry 4.0-driven technologies and the circular economy-driven business model (CEDBM) components of value creation, delivery and capture along manufacturing processes.

Based on the literature, a research model is developed in which the three CEBDM components are represented by five components: product service system (PSS), product design, industrial symbiosis (IS), consumer interaction and pay-per-use/rental. For each of these five components, enabling Industry 4.0 technologies are identified and vague interdependence relationships were assessed using a fuzzy decision-making trial and evaluation laboratory (DEMATEL) method.

This paper contributes to the literature by exploring the relationships of the CEDBM components of value creation, value delivery and value capture with Industry 4.0-driven technological enablers. In addition, causal relationships between Industry 4.0 technologies and their relevance for facilitating CE-enabled manufacturing processes are identified, and finally, Industry 4.0-driven technological enablers of CE are categorized as base and front-end technologies.

The findings suggest that value delivery-based differentiation provides new avenues for value creation and innovative forms of value capture in CEDBMs.

Practitioners can use the findings to develop a roadmap for Industry 4.0-driven technological solutions for CE.

CE-driven processes of manufacturing provide not only opportunities for value capture, creation and delivery but also avenues for customer-centric product and service development and effective resource utilization.

This paper is the first to identify value creation, delivery and capture processes along with Industry 4.0-enabled manufacturing processes.

The aim of this article is to examine in depth the digital nomad lifestyle and its effects in the context of tourism and to create a perspective for the future by taking into account the findings of the articles in the thematic issue.

The theme question is examined through a review of the main findings and outcomes of this issue.

The digital nomad lifestyle stands out as an alternative form of tourism to traditional tourism models. Digital nomads are interested in cultural heritage and are effective in destination marketing just as social media influencers are. Gastronomic preferences and security perceptions of digital nomads play an important role in destination selection. Although digital nomads start out with a desire for independence and freedom, they want to come together with their peers in order to meet their social needs.

This article will serve as a significant resource for understanding the digital nomad lifestyle and for predicting future tourism trends.

This study seeks to investigate and discuss the heritage experiences of both domestic and international visitors at Göbeklitepe UNESCO World Heritage Site in Türkiye.

A qualitative research approach was adopted in the current study. TripAdvisor's comments and reviews of both domestic (n = 519) and international (n = 186) visitors regarding their visits to Göbeklitepe were collected. The data were then subjected to content analysis by MAXQDA as qualitative data analysis software. Additionally, an abductive research approach, which consisted of three stages, was implemented for data analysis.

The three aspects of visitor experiences at Göbeklitepe, including cognitive, emotional and relational experiences were found and discussed. Additionally, commonalities and differences among domestic and international visitors in terms of the heritage experience they gained from their visit to Göbeklitepe were revealed and analyzed.

Based on the findings regarding the main aspects of heritage experiences at Göbeklitepe, including cognitive, emotional and relational experiences, site managers and destination marketers can create effective marketing strategies that focus on those characteristics to attract visitors to the site. Moreover, the study can guide destination marketers to develop targeted marketing campaigns that highlight the different historical and religious significance of the site for both groups of domestic and international visitors.

First, the study affirms that Göbeklitepe is an important and impressive cultural heritage site due to its historical significance to both domestic and international visitors. It also strengthens the multifaceted nature of heritage experiences. Especially, the evidence of relational heritage experiences, including the connectedness to heritage and the sense of belonging to the visitor community, enriches the literature of heritage experience in this regard.

Diabetes is one of the health problems of increasing importance owing to the increase in its incidence and the problems it causes, and it is closely related to nutrition. This study aims to determine the relationship between the dietary inflammatory index (DII) scores of individuals with type 2 diabetes, depression, anxiety and quality of life.

In this cross-sectional study, 158 individuals with type 2 diabetes who applied to a nutrition and diet outpatient clinic of a private hospital in Istanbul were included. Their depression status was evaluated using the Beck Depression Inventory; their anxiety status was evaluated using the Beck Anxiety Inventory; and their quality of life was evaluated using the Short Form 36 Quality of Life scale. One-way ANOVA test was used to define the difference between groups. All test results were evaluated at a significance level of 0.05.

There was no significant relationship between DII scores, depression (p = 0.814) and anxiety (p = 0.817). However, a significant decrease was observed in the scores of the quality of life criterion in the groups with high depression and anxiety scores (p < 0.05). In addition, participants with high anxiety states had higher HbA1c levels (p = 0.043).

Individuals in this sample with no known psychiatric diagnosis or treatment history demonstrated a significant relationship between depression and anxiety scores and quality of life.

Considering the human factor, the quality of the personnel is vital to ensure especially the value creation in the ports. Therefore, employee quality stands out for withstanding the pressures that stem from global trade on its operational speed felt by ports in recent years. Accordingly, the selection of the qualified personnel at the ports is very critical and a tool based on dynamic capabilities is needed to manage this process well. The aim of this study is to develop a model based on dynamic capabilities for recruitment process of ports.

Port personnel should have dynamic capabilities detected from the literature. These capabilities were approached as criteria. In this study, Buckley's proposed fuzzy analytical hierarchy process (AHP) method was employed for weighting the whole criteria. After that, weights of the criteria were used to prioritize alternatives with the fuzzy TOPSIS method.

This model reflects port managers' priorities and port customers' evaluations. Thus, the model can also reflect the level of integration of ports' related department managers into the recruitment process. The analyses allow the evaluation of the attitudes of the human resources department in the related port while fulfilling the personnel recruitment function. As a result of analyses, differences between perceptions of port managers and customers served as a feedback to the human resource management department of the ports.

One of the originalities of this study was derived from its customer-oriented perspective. This is a unique study that gathers common personnel capabilities related to the operation, planning and customer relationship departments and evaluates the success of these capabilities from the customer perspective.

Fault detection, isolation and reconfiguration of the flight control system is an important problem to obtain healthy flight. This paper aims to propose an integrated approach for aircraft fault-tolerant control.

The integrated structure includes a Kalman filter to obtain without noise, a full order observer for sensor fault detection, a GOS (generalized observer scheme) for sensor fault isolation and a fuzzy controller to reconfigure of the healthy sensor. This combination is simulated using the state space model of a lateral flight control system in case of disturbance and under sensor fault scenario.

Using a dedicated observer scheme, the detection and time of sensor fault are correct, but the sensor fault isolation is evaluated incorrectly while the faulty sensor is isolated correctly using GOS. The simulation results show that the suggested approach works affectively for sensor faults with disturbance.

This paper proposes an integrated approach for aircraft fault-tolerant control. Under this framework, three units are designed, one is Kalman filter for filtering and the other is GOS for sensor fault isolation and another is fuzzy logic for reconfiguration. An integrated approach is sensitive to faults that have disturbances. The simulation results show the proposed integrated approach can be used for any linear system.