E-közigazgatás Európában? Jelen és jövő (E-Government in Europe)

A jövő közigazgatásában az ügyfélbarát ügyfélszolgálat több olyan elektronikus csatornán is jelen lesz, amelyek csoportját jelenleg az on-line internetkapcsolat, a mobiltelefon és az interaktív digitális televízió, a jövőben az on-line interaktív multimédia képviseli. Az európai elektronikus közigazgatási fejlődési trend arra mutat, hogy a jövőben internet, mobilinternet és/vagy intelligens kábel tv technológiát alkalmazva, egy virtuálisan élő ügyintézővel beszélgetve juthat az ügyfél információhoz, foglalhat időpontot és indíthat érdemi ügyintézést. ________ In the course of future’s customer friendly public administration there will be some info-communication channels which are represented today by the on-line Internet accessibility, mobile telephones, and interactive digital television and the forthcoming interactive multimedia. The European trend of the development of public administration relies on Internet mobile Internet and/or intelligent cable television technology employing virtual adminsitrators as real time partner sin obtaining office information, booking appointments or launching adminsitration workflow.

Evaluating Applicability of E-Service Quality in Online Hotel Bookings

This study evaluates applicability of E-service quality measurements in the context of online hotel bookings. Data was collected from an online survey of undergraduate college students at two universities in the United States. The Transaction Process-based Framework (eTransQual) conceptualized by Bauer et al. (2006) was adapted, and the dimensionality of e-service quality was identified. The study identified process/reliability as the most important factor influencing overall quality of booking websites.

Statistical dialog management for health interventions

Research endeavors on spoken dialogue systems in the 1990s and 2000s have led to the deployment of commercial spoken dialogue systems (SDS) in microdomains such as customer service automation, reservation/booking and question answering systems. Recent research in SDS has been focused on the development of applications in different domains (e.g. virtual counseling, personal coaches, social companions) which requires more sophistication than the previous generation of commercial SDS. The focus of this research project is the delivery of behavior change interventions based on the brief intervention counseling style via spoken dialogue systems. ^ Brief interventions (BI) are evidence-based, short, well structured, one-on-one counseling sessions. Many challenges are involved in delivering BIs to people in need, such as finding the time to administer them in busy doctors' offices, obtaining the extra training that helps staff become comfortable providing these interventions, and managing the cost of delivering the interventions. Fortunately, recent developments in spoken dialogue systems make the development of systems that can deliver brief interventions possible. ^ The overall objective of this research is to develop a data-driven, adaptable dialogue system for brief interventions for problematic drinking behavior, based on reinforcement learning methods. The implications of this research project includes, but are not limited to, assessing the feasibility of delivering structured brief health interventions with a data-driven spoken dialogue system. Furthermore, while the experimental system focuses on harmful alcohol drinking as a target behavior in this project, the produced knowledge and experience may also lead to implementation of similarly structured health interventions and assessments other than the alcohol domain (e.g. obesity, drug use, lack of exercise), using statistical machine learning approaches. ^ In addition to designing a dialog system, the semantic and emotional meanings of user utterances have high impact on interaction. To perform domain specific reasoning and recognize concepts in user utterances, a named-entity recognizer and an ontology are designed and evaluated. To understand affective information conveyed through text, lexicons and sentiment analysis module are developed and tested.^

A simulation-based heuristic for fleet assignment

Integer programming, simulation, and rules of thumb have been integrated to develop a simulation-based heuristic for short-term assignment of fleet in the car rental industry. It generates a plan for car movements, and a set of booking limits to produce high revenue for a given planning horizon. Three different scenarios were used to validate the heuristic. The heuristic's mean revenue was significant higher than the historical ones, in all three scenarios. Time to run the heuristic for each experiment was within the time limits of three hours set for the decision making process even though it is not fully automated. These findings demonstrated that the heuristic provides better plans (plans that yield higher profit) for the dynamic allocation of fleet than the historical decision processes. Another contribution of this effort is the integration of IP and rules of thumb to search for better performance under stochastic conditions.

Statistical Dialog Management for Health Interventions

Research endeavors on spoken dialogue systems in the 1990s and 2000s have led to the deployment of commercial spoken dialogue systems (SDS) in microdomains such as customer service automation, reservation/booking and question answering systems. Recent research in SDS has been focused on the development of applications in different domains (e.g. virtual counseling, personal coaches, social companions) which requires more sophistication than the previous generation of commercial SDS. The focus of this research project is the delivery of behavior change interventions based on the brief intervention counseling style via spoken dialogue systems. Brief interventions (BI) are evidence-based, short, well structured, one-on-one counseling sessions. Many challenges are involved in delivering BIs to people in need, such as finding the time to administer them in busy doctors' offices, obtaining the extra training that helps staff become comfortable providing these interventions, and managing the cost of delivering the interventions. Fortunately, recent developments in spoken dialogue systems make the development of systems that can deliver brief interventions possible. The overall objective of this research is to develop a data-driven, adaptable dialogue system for brief interventions for problematic drinking behavior, based on reinforcement learning methods. The implications of this research project includes, but are not limited to, assessing the feasibility of delivering structured brief health interventions with a data-driven spoken dialogue system. Furthermore, while the experimental system focuses on harmful alcohol drinking as a target behavior in this project, the produced knowledge and experience may also lead to implementation of similarly structured health interventions and assessments other than the alcohol domain (e.g. obesity, drug use, lack of exercise), using statistical machine learning approaches. In addition to designing a dialog system, the semantic and emotional meanings of user utterances have high impact on interaction. To perform domain specific reasoning and recognize concepts in user utterances, a named-entity recognizer and an ontology are designed and evaluated. To understand affective information conveyed through text, lexicons and sentiment analysis module are developed and tested.

Konceptet mobilitet som tjänst : Viktiga kompetenser och möjliga utmaningar vid vidareutvecklingen av MaaS i Sverige.

Transport and travel is necessary for our society to function. Today, the privately owned car stands for more than half of all personal trips in Sweden. In the last couple of years researchers have highlighted the idea that personal transport is facing a paradigm shift, which means a reduction in the use and dependent of the privately owned car and an increased focus on individuals buying their Mobility as a Service (MaaS). MaaS is described as an integrated mix of different mobility services which are arranged in the form of customized mobility packages to the customer. These mobility packages can be compared to a mobile phone subscription, which includes various mobility services, such as train, bus, subway, taxi, carpool, etc. in various amounts depending on the individual's changing needs. The individual can take care of their own travel planning, booking and payment via an app in their smartphone. What distinguish MaaS from other mobility services is that the customer can travel from door-to-door instead of a predefine station to another. There have been various Maas projects around the world in order to increase understanding of the concept of MaaS, there is still a lot of unanswered questions and researchers would like to see more studies in the field, in order to find factors that are important and vital to the concept MaaS. The aim of the thesis is to: Discuss some competences that may be significant for the further development of the concept Maas in Sweden and discuss potential challenges that may arise at further development of the concept MaaS in Sweden. This study is based on previous research and experiences and thoughts on the concept MaaS from various stakeholders with knowledge and experience of the concept. This study has an abductive approach. Primary data were obtained through qualitative semistructured interviews with eight people who have knowledge and experience of the Maas. The main conclusions in this study is that the competences that are most important in the development of MaaS is collaborative skills and competences required to create an attractive mobility package based on customer needs. One challenge identified in this study is the challenge of creating individualized mobility package in which different types of mobility services are integrated. Another challenge can arise when public and private organizations collaborate and when new organizations enter the transport network and try to cooperate with the established organizations

Störningsinformation i tågtrafiken : Attityder bland resenärer och tågbolag till störningsinformation och tjänster för sådan information

When booking a trip along the railway through several train operators it is not uncommon that information about possible disruptions along the railway (that can change or cancel the booked trip) are not relayed to the passengers. Today, research on rail traffic in Sweden is limited. It is unclear how satisfied customers are with the quality of the information they receive during their trip (if they get it at all), including with respect to disruptions. Our partners have identified what they believe is a need among train operators, which is a service for disruption information to travelers. In addition to confirming that there is a need for such a service, we have an interest to investigate how such a service might look like and what the users want. Our research has shown that passengers are not satisfied with either the amount of information about disturbances or how often they get it. Along with KnowitBorlänge, we have come up with a proposed solution that uses already existing technologies to create a portal for an efficient way to get the interference information to travelers.

How to optimize the business model for ConsultaClick an innovative startup in the e-health Portuguese sector

Field lab: Entrepreneurial and innovative ventures

A demand-driven analysis of tourist accommodation price: A quantile regression of room bookings

Tourist accommodation expenditure is a widely investigated topic as it represents a major contribution to the total tourist expenditure. The identification of the determinant factors is commonly based on supply-driven applications while little research has been made on important travel characteristics. This paper proposes a demand-driven analysis of tourist accommodation price by focusing on data generated from room bookings. The investigation focuses on modeling the relationship between key travel characteristics and the price paid to book the accommodation. To accommodate the distributional characteristics of the expenditure variable, the analysis is based on the estimation of a quantile regression model. The findings support the econometric approach used and enable the elaboration of relevant managerial implications.