Lazy User Behaviour

In this position paper we suggest that a user will most often choose the solution (device) that will fulfill her (information) needs with the least effort. We call this “lazy user behavior”. We suggest that the principle components responsible for solution selection are the user need and the user state. User need is the user’s detailed (information) need (urgency, type, depth, etc.) and user state is the situation, in which the user is at the moment of the need (location, time, etc.); the user state limits the set of available solutions (devices) to fulfill the user need. The context of this paper is the use of mobile devices and mobile services. We present the lazy user theory of solution selection, two case examples, and discuss the implications of lazy user behavior on user attachment to mobile services and devices, and to planning and execution of mobile services.User Attachment; Lazy User; Mobile Services; Mobile Devices; Adoption; Acceptance; Least Effort

Evaluation of Future Mobile Services Based on the Technology Acceptance Model

Mobile telecommunication operators are under great pressure to launch new profitable data services. However, most of the mobile data services have fallen short of the expectation and have failed on the market. One important reason for the failure of mobile data services is the difficulty to assess user needs and requirements in advance. This paper suggests to use the Technology Acceptance Model (TAM) to approximate the user acceptance of non-existing mobile services. The TAM model is applied to assess the potential future acceptance of five mobile broadcasting service scenario. The results show that TAM is a helpful model to evaluate the user acceptance of future services. However, the more innovative the new service is, the less accurate is the model. The results show furthermore that the most influential aspect on the future intention to use is the perceived value of the future prod

Mobile travel services: A three-country study into the impact of local circumstances

In this paper we explore the difference in acceptance patterns of mobile services that are related to travelling in three countries: Finland, The Netherlands and New Zealand. The objective of this paper is to understand differences in the use of Mobile Travel Services in three countries that differ with regard to national travel patterns. This paper also contributes to the discussion of the relevance of the Technology Acceptance Model for mobile applications by focusing on the importance of context characteristics, such as the degree of mobility of the user, the social situation people are in, and their need for social interaction. Based on surveys in the three countries as executed in 2009, we use structural equation modelling to find differences in patterns. The paper concludes that context factors have an impact on the relation between the core concepts as used in TAM and DOI approach, and that t here is a clear need for closer research in the moderating effect of physical (e.g. mobile and fixed context) and social context, as well as the need for social interaction. Moreover it is clear that country specific characteristics play a role in the acceptance of mobile travel services. As we pointed out in many of our research projects before the acceptance and use of mobile services requires deep understanding from individual, context and technology related characteristics and their mutual interactions

Mobile Business Intelligence Acceptance Model for Organisational Decision Making

Mobile Business Intelligence (BI) is the ability to access BI-related data such as key performance indicators (KPIs), business metric and dashboard through mobile device. Mobile BI addresses the use-case of remote or mobile workers that need on-demand access to business-critical data. User acceptance on mobile BI is an essential in order to identify which factors influence the user acceptance of mobile BI application. Research on mobile BI acceptance model on organizational decision-making is limited due to the novelty of mobile BI as newly emerged innovation. In order to answer gap of the adoption of mobile BI in organizational decision-making, this paper reviews the existing works on mobile BI Acceptance Model for organizational decision-making. Two user acceptance models which are Technology Acceptance Model and Technology Acceptance Model for Mobile Services will be review. Realizing the essential of strategic organizational decision-making in determining success of organizations, the potential of mobile BI in decision-making need to be explore. Since mobile BI still in its infancy, there is a need to study user acceptance and usage behavior on mobile BI in organizational decision-making. There is still opportunity for further investigate the impact of mobile BI on organizational decision-making

Examining user acceptance of SMS: An empirical study in China and Hong Kong

Short message service (SMS) has become an integral part of people\u27s lives. It is one of the most popular services for mobile communications. This paper examines the determinants of user intention to use SMS. We proposed and empirically tested a model with seven main determinants of user acceptance and two key moderators (i.e., gender and region). Our data were collected via a survey of 471 mobile phone users in China and Hong Kong. The results showed that perceived usefulness, perceived ease of use, perceived enjoyment, and perceived critical mass were the key direct determinants of user acceptance of SMS. Visibility, subjective norm, and perceived cost-effectiveness were found to have indirect influences on user acceptance via the key determinants. In addition, the results showed that gender and region each played an important role in affecting user acceptance, and the significant determinants vary across regions. We discuss implications related to mobile communication services

The adoption of mobile commerce services by individuals: A Current State of the Literature

The lack of strong market growth in most Mobile Commerce markets indicates that improved functionality, affordability, and availability of mobile technology do not lead automatically to wide-spread adoption of these services. Therefore, developing an understanding of the factors that influence end-user (consumer) behaviour and acceptance of new mobile services is important at this early stage of the mobile evolution because consumer acceptance is a critical foundation for the continued expansion of the market for mobile services. In this paper we analyse and synthesise the existing literature which focuses on the factors that impact the adoption of mobile commerce services by individuals. We develop an innovative framework to guide this analysis and review 100 studies. Results show a clear imbalance in the existing literature and bias towards some types of adoption factors in favour of other equally important factors

User requirements for location based services : an analysis on the basis of literature

The high global penetration of mobile telephony provides a strong basis for the development and diffusion of mobile business applications. Especially for location based services, i.e. mobile services that consider the user’s current location to add value to the service provided, a high potential to become a major market success is seen. Nevertheless the development of mobile business and location based services has so far been lagging behind expert expecations. One of the reasons for this disappointing development is the failure of application developers to center their efforts on potential users and their needs and demands. The following paper therefore reviews the existing literature on user requirements in mobile business and location based services. A definition and characterization of location based services is given and a framework to categorize existing location based services is developed. Additionally, usefulness and usability are put in concrete terms as they are identified as the main determinants of end-user acceptance of location based services. Security concerns of potential users of location based services are analyzed and further limitations of the diffusion of location based services are discussed

User Acceptance of Mobile Payments: A Theoretical Model for Mobile Payments

Mobile payment refers to the use of mobile devices to conduct payment transactions. Users can use mobile devices for remote and proximity payments; moreover, they can purchase digital contents and physical goods and services. It offers an alternative payment method for consumers. However, there are relative low adoption rates in this payment method. This research aims to identify and explore key factors that affect the decision of whether to use mobile payments. Two well-established theories, the Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT), are applied to investigate user acceptance of mobile payments. Survey data from mobile payments users will be used to test the proposed hypothesis and the model

Individual Tariffs for Mobile Services: Analysis of Operator Business and Risk Consequences

A design approach is offered for individual tariffs for mass customized mobile service products, whereby operators can determine their contract acceptance rules to guarantee with a set probability their minimum profit and risk levels. It uses realistic improvements to earlier reported negotiation algorithms [1], and a full operator operational model including infrastructure and content acquisition. Value at risk and profit are analyzed when a random user has consistent characteristics to a survey group, so that risk and profits are pooled. This analysis is necessary to give the supplier business guarantees to enter individual tariff agreements. A full numerical case is given for a class of mobile service.risks;mobile communication services;Individual tariffs