Ai Han, Yongmiao Hong, Shouyang Wang and Xin Yun
Modelling and forecasting interval-valued time series (ITS) have received increasing attention in statistics and econometrics. An interval-valued observation contains more…
Abstract
Modelling and forecasting interval-valued time series (ITS) have received increasing attention in statistics and econometrics. An interval-valued observation contains more information than a point-valued observation in the same time period. The previous literature has mainly considered modelling and forecasting a univariate ITS. However, few works attempt to model a vector process of ITS. In this paper, we propose an interval-valued vector autoregressive moving average (IVARMA) model to capture the cross-dependence dynamics within an ITS vector system. A minimum-distance estimation method is developed to estimate the parameters of an IVARMA model, and consistency, asymptotic normality and asymptotic efficiency of the proposed estimator are established. A two-stage minimum-distance estimator is shown to be asymptotically most efficient among the class of minimum-distance estimators. Simulation studies show that the two-stage estimator indeed outperforms other minimum-distance estimators for various data-generating processes considered.
Details
Keywords
Jacqualine Spence, Pierre Benckendorff and P. Monica Chien
Luxury tourism is an emerging area of research and deserves consideration for its implications for tourism and hospitality management and policy development. This chapter reviews…
Abstract
Luxury tourism is an emerging area of research and deserves consideration for its implications for tourism and hospitality management and policy development. This chapter reviews the phenomena of luxury tourism in the academic literature and in particular, its links to the concepts of high yield, sustainability and tourist experiences. The global hiatus caused by the COVID-19 pandemic has presented an opportunity for tourism policymakers and industry stakeholders to reconsider how luxury tourism can contribute to optimal economic, social and environmental outcomes with desired yield and sustainability aspirations. A renewed understanding of luxury tourism in terms of its production and consumption processes, as well as the associated value, emotion and narrative, is therefore of critical importance. The value of this chapter lies in synthesising a number of strands of inquiry across disparate bodies of literature to identify a research agenda. Areas that are proposed for further research include the conceptualisation of luxury tourism, the evolving nature of luxury experiences; value co-creation across all stages of luxury tourism; and the nexus between luxury tourism and destination image. Managerial implications of luxury tourism are also discussed, including the necessary conditions for cultivating luxury tourism; the need to measure the social and environmental impact of luxury tourism; and the important relationships between luxury tourism, innovation and market leadership.
Details
Keywords
K. Han, D.R.J. Owen and D. Peric
Because of the unrealistic demand of computer resources in terms of memory and CPU times for the direct numerical simulation of practical peen forming processes, a two‐stage…
Abstract
Because of the unrealistic demand of computer resources in terms of memory and CPU times for the direct numerical simulation of practical peen forming processes, a two‐stage combined finite/discrete element and explicit/implicit solution strategy is proposed in this paper. The procedure involves, at the first stage, the identification of the residual stress/strain profile under particular peening conditions by employing the combined finite/discrete approach on a small scale sample problem, and then at the second stage, the application of this profile to the entire workpiece to obtain the final deformation and stress distribution using an implicit static analysis. The motivation behind the simulation strategy and the relevant computational and implementation issues are discussed. The numerical example demonstrates the ability of the proposed scheme to simulate a peen forming process.
Details
Keywords
Heesup Han, Kiattipoom Kiatkawsin and Wansoo Kim
The purpose of this paper is to examine the intricate associations among the performance of ambient atmospherics, emotional experiences, overall image and guest satisfaction and…
Abstract
Purpose
The purpose of this paper is to examine the intricate associations among the performance of ambient atmospherics, emotional experiences, overall image and guest satisfaction and test the influence of these relationships on loyalty intentions by considering the moderating impact of continuance commitment in the upscale hotel context.
Design/methodology/approach
A field survey was conducted to collect the data. A quantitative approach was used for data analysis. Structural equation modeling and a test for metric invariance were used to identify the impact of study variables.
Findings
The results of this paper indicated that the hypothesized relationships were in general significant, that the proposed theoretical framework satisfactorily predicted guests’ intentions to be loyal and that the role of satisfaction among study constructs was prominent. Findings from the test for metric invariance also showed that continuance commitment significantly affected the associations among emotional experiences, satisfaction and loyalty intentions. Moreover, emotional experiences, overall hotel image and guest satisfaction were found to play a significant mediating role in generating loyalty intentions.
Practical implications
The findings of this paper inform hotel practitioners of the clear role of atmospherics, emotional experiences, image, satisfaction and continuous commitment in building loyalty. In addition, these findings can help hotel practitioners and researchers invent thorough and strategic methods for loyalty enhancement.
Originality/value
The existing hotel literature has provided a limited view regarding the impact of these research variables. The present paper filled this research gap through the successfully development of a robust framework for hotel guest loyalty.
Details
Keywords
Heesup Han, Kai-Sean Lee, HakJun Song, Sanghyeop Lee and Bee-Lia Chua
The purpose of this paper is to investigate the interrelationships among coffeehouse brand experiences, customer satisfaction and perceived value in generating patrons’ repeat…
Abstract
Purpose
The purpose of this paper is to investigate the interrelationships among coffeehouse brand experiences, customer satisfaction and perceived value in generating patrons’ repeat purchase intention.
Design/methodology/approach
The survey sample consisted of 379 coffeehouse patrons who visited an international chain coffeehouse in a metropolitan city of South Korea.
Findings
The results of the structural equation modeling revealed that a coffeehouse brand experience exerted a significant influence on customer satisfaction and perceived value. The repurchase intention was found to be a significant and positive function of customer satisfaction and perceived value. Moreover, the result of the metric invariance test demonstrated a significant moderating impact on the relationships between coffeehouse brand experiences and customer satisfaction, coffeehouse brand experiences and perceived value, and customer satisfaction and repurchase intention.
Research limitations/implications
An examination of the moderating role of switching costs demonstrated that the relationships between coffeehouse brand experiences and customer satisfaction, between coffeehouse brand experiences and perceived value and between customer satisfaction and repurchase intention differed across switching costs groups. More specifically, the relationship strength was greater for the high group of switching costs than for the low group.
Originality/value
The present study provides coffeehouse management with a better understanding of the underlying mechanism of patrons’ repurchase decision generation process.
Details
Keywords
Hannah Weiss, Yaritza Hernandez, K. Han Kim and Sudhakar L. Rajulu
The suboptimal fit of a spacesuit can interfere with a crewmember's performance and is regarded as a potential risk factor for injury. To quantify suit fit, a virtual fit…
Abstract
Purpose
The suboptimal fit of a spacesuit can interfere with a crewmember's performance and is regarded as a potential risk factor for injury. To quantify suit fit, a virtual fit assessment model was previously developed to identify suit-to-body contact and interference using 3D human body scans and suit CAD models. However, ancillary suit components and garments worn inside of the suit have not been incorporated.
Design/methodology/approach
This study was conducted to predict a 3D model of the liquid cooling and ventilation garment (LCVG) from an arbitrary person's body scan. A total of 14 subjects were scanned in a scan wear and LCVG condition. A statistical model was generated using principal component analysis and random forest regression technique.
Findings
The model was able to predict the geometry of the LCVG layer at the accuracy of 5.3 cm maximum error and 1.7 cm root mean square error. The errors were more pronounced for the arms and lower torso, while the thighs and upper torso regions, which are critical for suit fit assessments, show more accurate predictions. A case study of suit fit with and without the LCVG model demonstrated that the new model can enhance the scope and accuracy of future spacesuit assessments.
Originality/value
The capabilities resulting from these modeling techniques would greatly expand the assessments of fit of the garment on various anthropometries. The results from this study can significantly improve the design process modeling and initial suit sizing efforts to optimize crew performance during extravehicular activity training and missions.
Details
Keywords
Heesup Han, Myong Jae Lee and Wansoo Kim
This paper aims to extend the knowledge of travelers’ shopping behaviors at airport duty-free stores by investigating the role of multiple quality factors, value dimensions, trust…
Abstract
Purpose
This paper aims to extend the knowledge of travelers’ shopping behaviors at airport duty-free stores by investigating the role of multiple quality factors, value dimensions, trust and satisfaction. Moreover, the influence of possible barriers to airport shopping is examined.
Design/methodology/approach
Quantitative data collection including a survey was used. A structural equation modeling was used for data analysis.
Findings
The results showed that the proposed conceptual framework provided sufficiently explained travelers’ post-purchase intentions for airport duty-free shopping. Hedonic value and trust in airport duty-free shopping were of greatest importance in determining intentions. The quality of products and physical environment also showed relative importance among cognitive drivers. The findings from the metric invariance test indicated the significant moderating impact of travelers’ perceived barriers to airport shopping. The mediating impact of study variables was also identified.
Practical implications
Findings help airport practitioners improve their knowledge of travelers’ shopping behaviors at airport duty-free stores and help them to develop efficient methods to facilitate air travelers’ commercial activities at an airport.
Originality/value
Non-aeronautical business is emerging as a means of revenue maximization in the airport industry, yet there is a lack of understanding about air travelers’ commercial activities at airports. This study filled this void through the development of sturdy framework for air travelers’ non-aeronautical commercial activities at an airport.
Details
Keywords
K. Han, D. Peric´, D.R.J. Owen and J. Yu
Following earlier work on the combined finite/discrete element simulation of shot peening process in 2D case, 3D representation of the problem is established with respect to DE…
Abstract
Following earlier work on the combined finite/discrete element simulation of shot peening process in 2D case, 3D representation of the problem is established with respect to DE modelling and contact interaction laws. An important relevant computational issue regarding the critical time step is carefully studied, and a new time stepping scheme that can ensure both short and long term stability of the contact models is developed. Numerical tests are performed to evaluate the proposed normal and frictional contact interaction laws with various model parameters. The influences of single and multiple shot impact, as well as element sizes are also numerically investigated. The established contact interaction laws can also be applied to other multi‐body dynamic simulations.
Details
Keywords
K. Han, Y.T. Feng and D.R.J. Owen
The main purpose of this paper is to compare the performance of three commonly used global search algorithms, namely tree‐based augmented spatial digital tree, cell‐based no…
Abstract
Purpose
The main purpose of this paper is to compare the performance of three commonly used global search algorithms, namely tree‐based augmented spatial digital tree, cell‐based no binary search and D‐cell, in the discrete element simulations.
Design/methodology/approach
A large number of test cases with up to five million particles/discrete objects are employed to numerically examine the computational costs of the three search algorithms and their performance is compared.
Findings
Comprehensive comparisons reveal that the D‐cell is more efficient than the tree‐based search algorithms for large‐scale problems. The parametric study of the D‐cell algorithm itself shows that the performance of the algorithm is strongly dependent on the cell dimension chosen.
Research limitations/implications
The only limitation of the current work is that the tested domain shape is regular, and thus more complex domain shapes may need to be considered.
Originality/value
The paper provides clear guidance regarding the possible actual computational performance of the tested search algorithms for practical applications.
Details
Keywords
Sanghyeop Lee, Bee-Lia Chua, Hyeon-Cheol Kim and Heesup Han
In consideration of the lack of research regarding airline lounge customers’ behavior, the purpose of this study was to examine the relationships among brand personality…
Abstract
Purpose
In consideration of the lack of research regarding airline lounge customers’ behavior, the purpose of this study was to examine the relationships among brand personality, self-congruity, functional congruity, positive emotion, customer satisfaction and revisit intentions in airline lounges.
Design/methodology/approach
On the basis of theoretical associations among study constructs, a conceptual model was proposed and tested using the data collected from airline lounge patrons through an online survey.
Findings
The empirical results showed that brand personality was positively related to self-congruity. Self-congruity was significantly associated with positive emotions and functional congruity. In addition, functional congruity was significantly associated with positive emotions. This result also indicated that positive emotion significantly influenced customer satisfaction. The mediation tests showed that both self-congruity and functional congruity significantly affected customer satisfaction through positive emotion. Customer satisfaction was a significant predictor of revisit intentions within the context of airline lounges.
Practical implications
Overall, these results help airline lounge operators understand lounge travelers who become more demanding with regard to brand personality, self-congruity and functional congruity.
Originality/value
This research was the first to test the effectiveness of image congruity theory in the domain of airline lounges. Our findings contribute to the body of knowledge on customer behaviors in airline lounges and image congruity.