Mobile Ticketing Framework for Malaysia’s Cinemas

From simple and manual life into electronic services finally into mobile electronic services, the solutions of mobility services made it easier to obtain many things at anytime and anywhere, with this new services and technologies the time has come to open an another marketing channel to express product and services to the consumers. Where in strong economic structure and the successful commercial marketing, the electronic commerce Including (electronic ticketing, mobile commerce and mobile ticketing) is changing the style of company's marketing, production, and operation, in addition it facilitated the life, reduced the cost and increased the profits.In context of mobility is a crucial part of the work, this research addresses to design and development a reservation system prototype based mobile e-ticketing for Malaysia's cinemas with kedah's scope. This prototype contains two parts, web and WAP application service, web application to make ability to manage cinemas and the WAP application to give the user the possibility of booking by using mobile phone

Customer satisfaction with mobile payments

The purpose of this research is to investigate customer experiences with mobile payments. In particular, the study identifies and classifies common sources of satisfaction and dissatisfaction associated with the use of mobile payments, and compares them to the determinants of satisfaction with technology-based services. The critical incident technique was applied to identify and classify the most common sources of satisfaction and dissatisfaction with mobile payments. Data was collected using an online survey, which combined multiple-choice and open-ended questions. The multiple-choice questions allowed examining the respondents’ relationship with mobile payments, while the open-ended questions provided insights into the nature of these relationships. In particular, the study participants were asked to describe their satisfying or dissatisfying experiences with mobile payments. The collected information was analysed using the constant comparative method. Data was coded, and each response was compared to the existing codes. Significantly more respondents were able to recall and describe a satisfactory rather than a dissatisfactory mobile payment experience, suggesting that the overall perception of mobile payment applications is favourable. The main sources of satisfaction reported are convenience, problem-solving, efficacy and security. Satisfaction results from the ability of mobile payments to quickly and safely deliver money and perform swift and easy transactions regardless of one’s location and possession of physical tokens such as cash or credit cards. Thanks to their high accessibility and flexibility, mobile payments also allow making transactions during the absence or failure of alternative payment options. Most dissatisfaction sources that emerged from the data analysis are opposite to the satisfaction sources, falling into the umbrellas of complexity and inefficacy. The contrasting satisfaction/dissatisfaction sources demonstrate the mobile payment technology paradox. The positive perception of mobile payments should motivate greater merchant acceptance. The knowledge of customer satisfaction sources can help companies in designing, improving, and marketing mobile payments. Further research is recommended to examine customer experience with mobile payments in more details, with different consumer groups, and at different stages of the payment process

Exploring Evolving Programs in Architecture: A Detailed Analysis and Design for Future Proofing Singapore’s Changi Airport.

Architecture and technology have a constrained relationship in part to their diverging principal-qualities (permanence vs speed, respectively). Buildings, while often designed with technical integration in mind, are rarely designed to take advantage of or to anticipate future trends or technologies. This misappropriation of technological progress in architecture materializes in form of retrofits, additions, and expansions – a chase in which architecture lags behind technology and its resulting and profound influence on culture and behavior. Architectural design and building programs may benefit from a deeper consideration and anticipation of evolving technological elements early in the design process. There may be no better building typology to understand past, present, and future design approaches than airports and their sequentially constructed terminals – true case studies of design thought and influences in contained and chronological configuration; snapshots of architectural and technological dependencies. This dissertation examines the past, current and proposed terminal designs at Singapore’s Changi Airport in order to understand the influences, technological contribution, and passenger experience goals throughout the terminal design process. The dissertation concludes with an alternative design to the currently proposed Terminal 5 design and aims to conceptually unify and prepare each current terminal for additional terminals as the airport expands

Explainable Predictive and Prescriptive Process Analytics of customizable business KPIs

Recent years have witnessed a growing adoption of machine learning techniques for business improvement across various fields. Among other emerging applications, organizations are exploiting opportunities to improve the performance of their business processes by using predictive models for runtime monitoring. Predictive analytics leverages machine learning and data analytics techniques to predict the future outcome of a process based on historical data. Therefore, the goal of predictive analytics is to identify future trends, and discover potential issues and anomalies in the process before they occur, allowing organizations to take proactive measures to prevent them from happening, optimizing the overall performance of the process. Prescriptive analytics systems go beyond purely predictive ones, by not only generating predictions but also advising the user if and how to intervene in a running process in order to improve the outcome of a process, which can be defined in various ways depending on the business goals; this can involve measuring process-specific Key Performance Indicators (KPIs), such as costs, execution times, or customer satisfaction, and using this data to make informed decisions about how to optimize the process. This Ph.D. thesis research work has focused on predictive and prescriptive analytics, with particular emphasis on providing predictions and recommendations that are explainable and comprehensible to process actors. In fact, while the priority remains on giving accurate predictions and recommendations, the process actors need to be provided with an explanation of the reasons why a given process execution is predicted to behave in a certain way and they need to be convinced that the recommended actions are the most suitable ones to maximize the KPI of interest; otherwise, users would not trust and follow the provided predictions and recommendations, and the predictive technology would not be adopted.Recent years have witnessed a growing adoption of machine learning techniques for business improvement across various fields. Among other emerging applications, organizations are exploiting opportunities to improve the performance of their business processes by using predictive models for runtime monitoring. Predictive analytics leverages machine learning and data analytics techniques to predict the future outcome of a process based on historical data. Therefore, the goal of predictive analytics is to identify future trends, and discover potential issues and anomalies in the process before they occur, allowing organizations to take proactive measures to prevent them from happening, optimizing the overall performance of the process. Prescriptive analytics systems go beyond purely predictive ones, by not only generating predictions but also advising the user if and how to intervene in a running process in order to improve the outcome of a process, which can be defined in various ways depending on the business goals; this can involve measuring process-specific Key Performance Indicators (KPIs), such as costs, execution times, or customer satisfaction, and using this data to make informed decisions about how to optimize the process. This Ph.D. thesis research work has focused on predictive and prescriptive analytics, with particular emphasis on providing predictions and recommendations that are explainable and comprehensible to process actors. In fact, while the priority remains on giving accurate predictions and recommendations, the process actors need to be provided with an explanation of the reasons why a given process execution is predicted to behave in a certain way and they need to be convinced that the recommended actions are the most suitable ones to maximize the KPI of interest; otherwise, users would not trust and follow the provided predictions and recommendations, and the predictive technology would not be adopted

H.M.S. Pallas: historical reconstruction of an 18th-century Royal Navy frigate

A 1998 joint survey undertaken by the Institute of Nautical Archaeology and Portuguese authorities located and identified the sunken remains of the Royal Navy frigate HMS Pallas (1757-1783) off of the Azorean island of São Jorge. Physical remains are so limited as to suggest that excavation would likely yield little new information. However, much documentary evidence has been preserved in Admiralty archives. Contemporary treatises about 18th-century British ship construction focus on glossaries of terms, scantling lists and design theory, and include only short sections on frigates insofar as they apply to those topics. They rarely address specific construction aspects. Most current works address individual aspects of ship construction for the period, but provide little significant detail about the frigate as a ship type. All of these works are useful and reliable, however none attempt to combine the ship with the crew, or pursue the complete history of one ship. As the flagship of a prototypical class, intended to address French superiority in cruiser design, it is reasonable to expect that a history of Pallas would exist with some analysis of how successfully these new frigates fulfilled the Royal NavyÂs perceived need. However, to date there has been no attempt to consolidate the evidence of her 26-year career. This study provides a comprehensive history of a single ship from perceived need and conceived solution through design and construction. The shipÂs logbooks and additional primary sources made it possible to accurately document and analyze Pallas activities, maintenance, modifications, and ultimately to draw conclusions about the overall effectiveness of the frigate type. I began with basic background information to establish the perceived need for a new frigate type, followed by an examination of the conceived design solution. A partial set of admiralty drafts served as a foundation from which to develop a more complete set of construction plans, a spar plan, and rigging plans. Comprehensive research into life aboard Royal Navy warships of the period provided a social context within which to examine the service history of Pallas. Finally, a review of the maintenance record and the events leading up to her sinking enabled an informed assessment of how well HMS Pallas fulfilled the perceived need for which she was developed

Integrated Models and Tools for Design and Management of Global Supply Chain

In modern and global supply chain, the increasing trend toward product variety, level of service, short delivery delay and response time to consumers, highlight the importance to set and configure smooth and efficient logistic processes and operations. In order to comply such purposes the supply chain management (SCM) theory entails a wide set of models, algorithms, procedure, tools and best practices for the design, the management and control of articulated supply chain networks and logistics nodes. The purpose of this Ph.D. dissertation is going in detail on the principle aspects and concerns of supply chain network and warehousing systems, by proposing and illustrating useful methods, procedures and support-decision tools for the design and management of real instance applications, such those currently face by enterprises. In particular, after a comprehensive literature review of the principal warehousing issues and entities, the manuscript focuses on design top-down procedure for both less-than-unit-load OPS and unit-load storage systems. For both, decision-support software platforms are illustrated as useful tools to address the optimization of the warehousing performances and efficiency metrics. The development of such interfaces enables to test the effectiveness of the proposed hierarchical top-down procedure with huge real case studies, taken by industry applications. Whether the large part of the manuscript deals with micro concerns of warehousing nodes, also macro issues and aspects related to the planning, design, and management of the whole supply chain are enquired and discussed. The integration of macro criticalities, such as the design of the supply chain infrastructure and the placement of the logistic nodes, with micro concerns, such the design of warehousing nodes and the management of material handling, is addressed through the definition of integrated models and procedures, involving the overall supply chain and the whole product life cycle. A new integrated perspective should be applied in study and planning of global supply chains. Each aspect of the reality influences the others. Each product consumed by a customer tells a story, made by activities, transformations, handling, processes, traveling around the world. Each step of this story accounts costs, time, resources exploitation, labor, waste, pollution. The economical and environmental sustainability of the modern global supply chain is the challenge to face