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The purpose of this paper is to identify the dimensions of service quality and examining the interrelationships among behavioral intentions, customer satisfaction, perceived value, corporate image and service quality in the gaming industry. A multi-level and hierarchical model is used as a framework to synthesize the effects of customer satisfaction, perceived value, corporate image and service quality on behavioral intentions of customers in the gaming industry.

The data used in this study were based on a sample of 470 at a newly built casino in Macau. Data were analyzed using exploratory factor analysis and regression analysis.

The findings support using a multi-level model consisting of three primary dimensions and ten sub-dimensions to conceptualize and measure perceived service quality. Perceived service quality significantly influences perceived value and corporate image, respectively. In addition, perceived value and corporate image are main determinants of customer satisfaction. Also, customer satisfaction and corporate image significantly affect behavioral intentions.

This is the first study synthesizing behavioral intentions, customer satisfaction, perceived value, corporate image and perceived service quality in a Macau casino setting.

The purpose of this paper is twofold: first, to examine the roles of five drivers of service quality (tangibles, reliability, responsiveness, assurance, and empathy) and perceived winning in the gaming behavior of table game players; and second, to test the moderating effects of table game players' demographic and situational factors (gender, education level, parenting status, and proximity to a casino).

A review of the current literature in the above‐mentioned areas revealed 13 theoretical hypotheses, from which the authors derived a structural model. The model was tested utilizing data collected from 383 US casino patrons that primarily played table games during visits to casinos. Confirmatory factor analysis and structural equation modeling were utilized to test the proposed theoretical relationships.

The results indicate that various dimensions of perceived service quality (including tangibles, responsiveness, assurance, and empathy) in casinos, as well as casino patrons' perceived winning have considerable influence on their satisfaction. Brand affect and game spending were found to be influenced by the patron satisfaction with table games. The relationship between perceived empathy and table game satisfaction was stronger for females than for males; the relationship between perceived winning and table game satisfaction was stronger for those with lower levels of formal education; and the relationship between table game satisfaction and game spending was stronger for table game players without children and for those residing near a casino.

This study provides an empirical analysis of the effects of perceived service quality at table games and perceived winning on table game players' satisfaction, brand affect, and game spending. The results of this study may be utilized to aid casino operators to better tailor their marketing efforts and improve returns on investments.

It is unclear whether information obtained from a one parent can be used to infer the other parent's history of psychopathology. Two hundred and one parental dyads were asked to complete psychiatric interviews. Based on maternal report, non-participating husbands/ fathers had higher rates than participating fathers of psychiatric illness. For fathers who did participate, maternal report did not match direct interview of paternal psychopathology with sensitivities less than 0.40 and positive predictive values of 0.33 to 0.74. Psychopa -thology may be over-represented among fathers who do not participate in research. Mother report of paternal symptoms is not an effective proxy. Alternative methods need to be developed to: i) improve father participation or ii) identify psychiatric status in fathers who do not participate in research projects.

Casinos offer a variety of dining experiences to appeal to the tastes of different customers. The aim of this paper is to investigate the indirect impact of dining by restaurant type on gaming by worth segment.

Data from two hotel‐casinos were analyzed using time series regression analysis. Variables representing restaurant covers at steakhouse, buffet and casual dining venues were used to predict slot coin‐in for five customer worth segments.

Steakhouse dining was a significant predictor of slot coin‐in for high worth players, buffet and casual dining were related to low‐worth gaming volume, whereas medium‐worth players were impacted by a range of dining options.

Regression analysis does not imply causality, and the results may not hold for other casino properties or sample time periods.

The findings have implications for the optimal restaurant mix at casinos and the types of offers that are given to different customer worth segments. This study also helps casino operators evaluate the profitability of each type of restaurant they operate.

The research fills a gap in the casino literature by segmenting customers using the same metric as casino operators, namely gaming worth. It provides new insight into indirect dining‐gaming relationships by investigating different restaurant types.

Artificial Intelligence-based smart farming technologies have brought impressive changes in farming. This paper aims at exploring the farmers’ intention to adopt smart farming technologies (SFT). Also, the authors intend to know how far the belief of farmers on land as God influences their decision to adopt SFT.

The data were gathered from 500 farmers chosen purposively. A well-crafted survey instrument was employed to amass data from farmers for measuring their adoption of SFT. As the authors sought to measure the farmers’ behavioural intention (BI) towards the adoption of SFT, the technology acceptance model developed by Davis (1989) came in handy, including perceived usefulness (PU), perceived ease of use (PEU) and BI. The authors have adopted this model as it was considered a superior model. The items on the attitude of confidence (AC) were adapted from Adrian et al. (2005). Survey instruments of Thompson and Higgins (1991) and Compeau and Higgins (1995) were also referred to finalize the statements relating to attitude towards use. Moreover, the authors developed items relating to the perceived belief of land as God based on frequent interaction with the farmers.

The study results divulged that attitude to use (AU) is directly influenced by the rural farmers’ PU, PEU and AC. Similarly, this investigation has observed behaviour intention directly influenced by the AU of farmers. It is observed that AU was the most influential variable, which ultimately influenced the BI to use SFT.

This study has an important limitation in the form of representing only the culture, belief and value system of farmers in India.

The outcome of this study will facilitate the policymakers to draw suitable policy measures keeping the sensitivities of the farmers in mind in their technology adoption drive. The agricultural officers can encourage farmers to take logical decisions by supplying adequate information in a time-bound manner. Marketers can make suitable adjustments in their sales and promotion activities that focus on farmers.

The belief of farmers on land as God has a small yet unmissable influence on farmers’ AU and BI in their technology adoption decision. Based on the above evidence, the authors recommend that marketers fine-tune their product design, product packaging and promotional activities keeping the belief and sensitivities of farmers at the core of their marketing campaign.

This article provides original insights by demonstrating the positive influence of PU, PEU and AC on technology adoption by farmers. This research is the first of a kind linking the belief of farmers on land as God with smart farming technology adoption in farming.

With the exponential growth of the amount of data, the most sophisticated systems of traditional libraries are not able to fulfill the demands of modern business and user needs. The purpose of this paper is to present the possibility of creating a Big Data smart library as an integral and enhanced part of the educational system that will improve user service and increase motivation in the continuous learning process through content-aware recommendations.

This paper presents an approach to the design of a Big Data system for collecting, analyzing, processing and visualizing data from different sources to a smart library specifically suitable for application in educational institutions.

As an integrated recommender system of the educational institution, the practical application of Big Data smart library meets the user needs and assists in finding personalized content from several sources, resulting in economic benefits for the institution and user long-term satisfaction.

The need for continuous education alters business processes in libraries with requirements to adopt new technologies, business demands, and interactions with users. To be able to engage in a new era of business in the Big Data environment, librarians need to modernize their infrastructure for data collection, data analysis, and data visualization.

A unique value of this paper is its perspective of the implementation of a Big Data solution for smart libraries as a part of a continuous learning process, with the aim to improve the results of library operations by integrating traditional systems with Big Data technology. The paper presents a Big Data smart library system that has the potential to create new values and data-driven decisions by incorporating multiple sources of differential data.

This paper aims to describe Australian children's perceptions of healthiness and sources of health knowledge in order to develop an understanding of young children's perceptions, knowledge and sources of influence to guide future behaviour change and health promotion strategies.

One‐hour interactive focus groups were conducted in a South Australian primary school. Four small groups (n=28) of children aged five to nine participated in focus groups in which they were asked to discuss being healthy and their sources of health information as well as engaging in storying around the healthy or unhealthy behaviours of fictional characters.

Children generally perceived themselves to be healthy. Perceptions of healthiness were equated with performing positive dietary (primarily eating fruit) and physical activity behaviours. Behaviours on an unhealthy day related to being sedentary and consuming “junk foods”. Commonly cited sources of health information included family members, teachers and public health campaigns.

Understanding how young children perceive health behaviour and how to deliver health education appropriately to children (including who delivers these programs) could improve the efficacy of future programs targeting this group. This study offers insight into junior primary children's perceptions of healthy diet and activity behaviours and can assist in the improvement of future health interventions and programs.

Existing research on how younger children perceive healthiness is limited. The methods used in this study allowed the authors to explore these perceptions in a way that limited how much the topics of the conversation were predetermined.

This paper aims to propose a new method for combining global path planning with local path planning, to provide an efficient solution for unmanned surface vehicle (USV) path planning despite the changeable environment. Path planning is the key issue of USV navigation. A lot of research works were done on the global and local path planning. However, little attention was given to combining global path planning with local path planning.

A search of shortcut Dijkstra algorithm was used to control the USV in the global path planning. When the USV encounters unknown obstacles, it switches to our modified artificial potential field (APF) algorithm for local path planning. The combinatorial method improves the approach of USV path planning in complex environment.

The method in this paper offers a solution to the issue of path planning in changeable or unchangeable environment, and was confirmed by simulations and experiments. The USV follows the global path based on the search of shortcut Dijkstra algorithm. Both USV achieves obstacle avoidances in the local region based on the modified APF algorithm after obstacle detection. Both the simulation and experimental results demonstrate that the combinatorial path planning method is more efficient in the complex environment.

This paper proposes a new path planning method for USV in changeable environment. The proposed method is capable of efficient navigation in changeable and unchangeable environment.

Slyme Green College of Further Education stands to the north of the town on the edge of a vast new trading estate. A glistening block of glass and concrete, it was opened a little over two years ago by Alderman Joseph Soap, Mayor of Slyme Green and Chairman of Governors. You follow a trail of litter up the drive, past the savaged saplings to the pool in the forecourt, a feature full of orange peel and little bits of stick. In the middle on a stained slab of slate stands a thing in metal, symbolising the Ministry giving birth to Technical Education. And very painful, too. This caused a furore locally, was featured in ‘Panorama’, and nearly cost the Labour Party four seats in the borough elections. (Soap, Chairman of the Education Committee: ‘I was never consulted’.)

THERE ARE A NUMBER OF INFLUENCES UPON THIS TYPE OF training of which we must be aware and which we must attempt to reconcile: these major influences are illustrated by figure 1.