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1 – 10 of 446Sandy C. Chen, Carola Raab and Sarah Tanford
This study aims to report the results of a survey of diners’ behavior during production and consumption of dining services with three objectives. The first objective is to create…
Abstract
Purpose
This study aims to report the results of a survey of diners’ behavior during production and consumption of dining services with three objectives. The first objective is to create customer segments that represent distinct patterns of customer participation in hospitality service encounters. The second objective is to profile these identified customer segments in terms of demographics, attitudes and behaviors. The third objective is to evaluate the relationship between customer participation segments and service outcomes.
Design/methodology/approach
Data were collected through an online survey of American casual dining customers. The data were analyzed using principal components factor analysis, cluster analysis on the factor scores, discriminant analysis that validated the group differences among clusters and multivariate analysis of variance on the cluster variables to determine the source of differences between groups.
Findings
The evidence showed that restaurant customers can be segmented into meaningful groups according to their reported behaviors and that level of participation is related to perceived service outcomes.
Practical implications
The findings suggest that service providers can use customer participation segments to understand those customers’ service needs and wants. They can then design service strategies tailored to the needs of target customer groups.
Originality/value
This study is the first to identify distinct segments based on hospitality customers’ roles and behaviors in service delivery. This study makes a significant contribution to the hospitality marketing literature by advancing the trend to improve service quality through a non-traditional approach, that is, by building partnerships with customers.
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Sandy C. Chen, Stowe Shoemaker and Dina Marie V. Zemke
Slot machines and other machine gaming generate between 65 percent and 90 percent of a US casino's revenue. This article aims to examine the motivations, behaviors, and…
Abstract
Purpose
Slot machines and other machine gaming generate between 65 percent and 90 percent of a US casino's revenue. This article aims to examine the motivations, behaviors, and preferences of slot machine customers, and to develop market segments.
Design/methodology/approach
The study's objectives include: understanding the demographic, gambling motivation, and gambling behavioral characteristics of slot machine players; identifying important reasons for choosing one slot machine game over another; examining player attitudes and behaviors pertaining to progressive machines; and investigating player desire for theme‐based games. This was accomplished through an online survey of slot machine players.
Findings
Profiles of slot machine players are developed and the slot players are segmented into four clusters that explain motivations and game preferences.
Practical implications
This article fills in some of the gaps in understanding the gambling behavior of slot players. This study can help gaming machine manufacturers design new products and features to serve existing machine gaming customers and to attract new customers. Casino and other gaming operators can use this information not only to select the right types of machines to provide on‐site, but also to develop advertising and promotions to attract and retain new and existing customers for slot machines and other types of gaming machines.
Originality/value
This is the first published study that segments slot machine players from a marketing perspective and identifies their preferences, behaviors, and demographic groupings.
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The purpose of this paper is to analyze the characteristics of spatio-temporal dynamics and the evolution of land use change is essential for understanding and assessing the…
Abstract
Purpose
The purpose of this paper is to analyze the characteristics of spatio-temporal dynamics and the evolution of land use change is essential for understanding and assessing the status and transition of ecosystems. Such analysis, when applied to Horqin sandy land, can also provide basic information for appropriate decision-making.
Design/methodology/approach
By integrating long time series Landsat imageries and geographic information system (GIS) technology, this paper explored the spatio-temporal dynamics and evolution-induced land use change of the largest sandy land in China from 1983 to 2016. Accurate and consistent land use information and land use change information was first extracted by using the maximum likelihood classifier and the post-classification change detection method, respectively. The spatio-temporal dynamics and evolution were then analyzed using three kinds of index models: the dynamic degree model to analyze the change of regional land resources, the dynamic change transfer matrix and flow direction rate to analyze the change direction, and the barycenter transfer model to analyze the spatial pattern of land use change.
Findings
The results indicated that land use in Horqin sandy land during the study period changed dramatically. Vegetation and sandy land showed fluctuating changes, cropland and construction land steadily increased, water body decreased continuously, and the spatial distribution patterns of land use were generally unbalanced. Vegetation, sandy land and cropland were transferred frequently. The amount of vegetation loss was the largest. Water body loss was 473.6 km2, which accounted for 41.7 per cent of the total water body. The loss amount of construction land was only 1.0 km2. Considerable differences were noted in the rate of gravity center migration among the land use types in different periods, and the overall rate of construction land migration was the smallest. Moreover, the gravity center migration rates of the water body and sandy land were relatively high and were related to the fragile ecological environment of Horqin sandy land.
Originality/value
The results not only confirmed the applicability and effectiveness of the combined method of remote sensing and GIS technology but also revealed notable spatio-temporal dynamics and evolution-induced land use change throughout the different time periods (1983-1990, 1990-2000, 2000-2010, 2010-2014, 2014-2016 and 1983-2016).
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Danny Woosik Choi, Seoki Lee and Manisha Singal
The purpose of this study is to examine how the lodging market and the state economy affected by Hurricane Sandy have recovered from the damages sustained. Specifically, this…
Abstract
Purpose
The purpose of this study is to examine how the lodging market and the state economy affected by Hurricane Sandy have recovered from the damages sustained. Specifically, this study examines and predicts the influence of revenue management key performance indicators (KPIs) on recovery and lodging revenue in the affected states and the states’ economies. These KPIs include average daily rate (ADR), occupancy and revenue per available room (RevPAR).
Design/methodology/approach
Secondary financial data were collected for the states most damaged by Hurricane Sandy. Subsequently, pooled Ordinary Least Square (OLS) regression was conducted combining time and non-time dependent variables based on the states and radius from the landfall.
Findings
The results indicate that although the lodging market and the state economies have recovered since the onslaught of Hurricane Sandy, certain KPIs still need to improve.
Practical implications
Managerial implications are suggested in terms of dynamic pricing, market-based recovery, the KPIs, federal aid and facility management.
Originality/value
Despite its importance, research on the effects of climate change in the hospitality context has not actively progressed after Hurricane Katrina. Time and non-time dependent variables are combined in this analysis to gain a richer understanding of the impacts and recovery of KPIs on the revenue in the lodging market and the revenue on states’ economies. Additional analysis based on the radius from the landfall of the hurricane was performed to examine the impact and recovery based on geographical proximity.
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Han-Cheng Dan, Zhuo-Min Zou, Jia-Qi Chen and An-Ping Peng
The soil water retention curve (SWRC) and unsaturated hydraulic conductivity (UHC) are crucial indices to assess hydraulic properties of porous media that primarily depend on the…
Abstract
Purpose
The soil water retention curve (SWRC) and unsaturated hydraulic conductivity (UHC) are crucial indices to assess hydraulic properties of porous media that primarily depend on the particle and pore size distributions. This study aims to present a method based on the discrete element model (DEM) and the typical Arya and Paris model (AP model) to numerically predict SWRC and UHC.
Design/methodology/approach
First, the DEM (PFC3D software) is used to construct the pore and particle size distributions in porous media. The number of particles is calculated according to the AP model, which can be applied to evaluate the relationship between the suction head and the moisture of porous media. Subsequently, combining critical path analysis (CPA) and fractal theory, the air entry value is applied to calculate the critical pore radius (CPR) and the critical volume fraction (CVF) for evaluating the unsaturated hydraulic conductivity.
Findings
This method is validated against the experimental results of 11 soils from the clay loam to the sand, and then the scaling parameter in the AP model and critical volume fraction value for many types of soils are presented for reference; subsequently, the gradation effect on hydraulic property of soils is analyzed. Furthermore, the calculation for unbound graded aggregate (UGA) material as a special case and a theoretical extension are provided.
Originality/value
The presented study provides an important insight into the relationship between the heterogeneous particle and hydraulic properties by the DEM and sheds light on the directions for future study of a method to investigate the hydraulic properties of porous media.
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This chapter identifies and analyzes three systemic obstacles to American public policy addressing natural disasters: symbolic obstacles, cognitive obstacles, and structural…
Abstract
This chapter identifies and analyzes three systemic obstacles to American public policy addressing natural disasters: symbolic obstacles, cognitive obstacles, and structural obstacles. The way we talk about natural disaster, the way we think about the risks of building in hazardous places, and structural aspects of American political institutions all favor development over restraint. These forces have such strength that in the wake of most disasters society automatically and thoughtlessly responds by rebuilding what was damaged or destroyed, even if reconstruction perpetuates disaster vulnerability. Only by addressing each of the obstacles identified are reform efforts likely to succeed.
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Abstract
Purpose
Coastal zone ecological restoration project is of great significance to alleviate marine ecological degradation. Evaluating the effect of coastal ecological restoration projects and identifying the obstacle factors affecting their restoration level can provide an empirical basis for future Marine ecological restoration projects.
Design/methodology/approach
However, due to the initial stage of coastal zone ecological restoration projects, the actual monitoring data of coastal zone ecological restoration is relatively lacking. Based on the CRITIC-TOPSIS (combination of CRITIC method and TOPSIS method) method, combined with the subjective perception of the public and the actual data of the restoration project, this paper proposes an evaluation method of the coastal zone ecological restoration effect to obtain the specific implementation effect of the coastal zone ecological restoration project. The main obstacle factors affecting the evaluation of coastal ecological restoration effect are identified by using the obstacle degree model.
Findings
This paper conducted an empirical study on the restoration of sandy shoreline and coastal wetland in Qinhuangdao city. Based on the data of restoration projects and the subjective perception of ecological restoration by the public in Qinhuangdao city, the research results showed that the coastal zone ecological restoration effect of Qinhuangdao city was general. The quality of the restoration project and the public perception have an important influence on the evaluation of the restoration effect. Improving the quality of the restoration project, strengthening the public's participation in ecological restoration and allowing the public to better participate in the ecological restoration of the coastal zone can improve the effect of ecological restoration of the coastal zone in an all-round way.
Originality/value
The research results of this paper have a guiding role in the ecological restoration of coastal cities in the future, and also have a demonstration and reference role for the assessment of the effect of ecological restoration of coastal zones.
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At a time when many people are experiencing stress, burnout, and strain at work, a relaxing vacation becomes increasingly important. Remote locations such as Bali, the Maldives…
Abstract
At a time when many people are experiencing stress, burnout, and strain at work, a relaxing vacation becomes increasingly important. Remote locations such as Bali, the Maldives, or the Caribbean have experienced a steady increase in popularity: exotic dishes, turquoise water, and white sandy beaches are often tourist magnets. While the corona crisis is changing the name of the game at this point, those destinations may attract travelers seeking remote destinations catering to the individual rather than the group. In response, new luxury resorts have emerged in recent years fostering global travel with its set of positive and negative impacts on the environment, the economy, and communities. In light of a global climate emergency, is luxury tourism in remote destinations compatible with sustainable development? This chapter, exploratory by nature, concludes that if there is one hope, it is that sustainability becomes the sine qua non of luxury tourism in the near, post-corona future.
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Zejian Huang, Yihua Cao and Yanyang Wang
The sandy environment is one of the typical environments in which helicopters operate. Air-sand two-phase flow in sandy environments may be an important factor affecting flight…
Abstract
Purpose
The sandy environment is one of the typical environments in which helicopters operate. Air-sand two-phase flow in sandy environments may be an important factor affecting flight safety. Taking a typical example, this paper aims to investigate the aerodynamic and rotor trim characteristics of the UH-60 helicopter in sandy environments.
Design/methodology/approach
A computational study is conducted to simulate the air-sand flow over airfoils based on the Euler–Lagrange framework. The simulation uses the S-A turbulence model and the two-way momentum coupling methodology. Additionally, the trim characteristics of the UH-60 rotor are calculated based on the isolated rotor trim algorithm.
Findings
The simulation results show that air-sand flow significantly affects the aerodynamic characteristics of the SC1095 airfoil and the SC1094R8 airfoil. The presence of sand particles leads to a decrease in lift and an increase in drag. The calculation results of the UH-60 helicopter rotor indicate that the thrust decreases and the torque increases in the sandy environment. To maintain a steady forward flight in sandy environments, it is necessary to increase the collective pitch and the longitudinal cyclic pitch.
Originality/value
In this paper, the aerodynamic characteristics of airfoils and the trim characteristics in the air-sand flow of the UH-60 helicopter are discussed, which might be a new view to analyse the impact of sandy environments on helicopter safety and manoeuvring.
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He Xu, Zhenyu Zhang, Khalil Alipour, Kai Xue and X.Z. Gao
Wheel‐terrain interaction has hardly been taken into consideration in the process of conventional mobile robot design, but its importance has been reflected increasingly towards…
Abstract
Purpose
Wheel‐terrain interaction has hardly been taken into consideration in the process of conventional mobile robot design, but its importance has been reflected increasingly towards these categories of mobile robots in rough sandy terrain or obstacle‐dense ground, as the first performance index in this situation is the trafficability of robot whose propulsion is uniquely generated by wheel‐terrain interaction. Consequently, it is valuable to find an optimized design method when the terrain and robot itself are regarded simultaneously. The purpose of this paper is to present a novel and reasonable design approach to mobile robot in sandy terrain.
Design/methodology/approach
Leading to some conflicted performance indices of robot, terramechanics describes the non‐linear characteristics in wheel‐terrain interaction mathematically, therefore, trade‐offs must be implemented to get a proper solution by multi‐objective optimization (MOO). In this paper, a five‐wheeled drive and five‐wheeled steering (5WD5WS) reconfigurable mobile robot is taken as demonstration with taxonomy of total‐symmetrical, partial‐symmetrical and asymmetrical prototypes. After function modeling, the MOO is carried out via iSIGHT‐FD using NCGA (Neighborhood Cultivation Genetic Algorithm) to minimize the mass, wheel resistance and maximize the static stability simultaneously.
Findings
After MOO, a compact and light weighted asymmetrical prototype is obtained with better trafficability, and other prototypes can produce diversified configurations to meet specific requirements. Significantly reduced masses (about 17 kg) enhance the grade‐ability when robot is in rough terrain. Performed real‐world experiments have also verified these prototypes.
Originality/value
The paper presents a new design approach for a mobile robot which focuses on both robot and terrain simultaneously with respect to conflicted factors. To unveil the insight relation of these factors, MOO is an effective tool to get a trade‐offs prototype.
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