Effects of Adaptivity and Other External Variables on Mobile Service Adoption

Polat, Ebru; Başoğlu, Nuri; Daim, Tuğrul U.

doi:10.4018/jisss.2011070105

Cited by 8 publications

(3 citation statements)

References 36 publications

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“…Polat et al [44], Phan et al [45] and Kargin et al [46,47] explored the adoption of mobile services using models based on technology acceptance model. Ozen et al [48,49] studies the adoption of online services using similar models.…”

Section: Methodsmentioning

confidence: 99%

New product development for the healthcare industry: A case study of diet software

Başog˘lu

Daim

Iskin

et al. 2012

Health Policy and Technology

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Section: Methodsmentioning

confidence: 99%

New product development for the healthcare industry: A case study of diet software

Başog˘lu

Daim

Iskin

et al. 2012

Health Policy and Technology

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“…Phan and Daim (2011) and Phan et al (2010) confirmed the framework though additional studies in the US. Polat et al (2011) built upon it and introduced the adaptivity aspects.…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding Factors Affecting Mobile Services Adoption

Daim

Aldhaban

Justice

et al. 2014

International Journal of Information Systems in the Service Sector

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Popularity of mobile services is increasing rapidly in Thailand and it is influencing daily life, business, and markets. Recently, more attention has been drawn towards mobile services due to the adoption of 3G in Thailand. This enhanced the competition in the telecommunication industry. Consequently, it became very critical for mobile services providers to better understand users and factors that affect users' adoption of mobile services. This paper aims to identify and study factors that impact mobile services adoption in Thailand. Factors and sub factors were identified and a survey was conducted. Factors were compared using Pairwise Comparison Method (PCM). Results of the analysis show that intermediary factors have the highest impact on users' intention to adopt mobile services followed by service characteristics factors and social factors respectively. The study provides an insight and information about factors influencing users' adoption of mobile services in Thailand.

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“…Lastly, a quantitative study was conducted. During the framework development of this study, a series of empirical studies were performed (Polat, Basoglu, and Daim, , ).…”

Section: Research Frameworkmentioning

confidence: 99%

Exploring Adaptivity in Service Development: The Case of Mobile Platforms

Başoğlu¹,

Daim²,

Polat³

2013

J of Product Innov Manag

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Together with the developing technologies of a fast-evolving Web environment, computers, and handheld devices, human-computer IntroductionI nformation is the absolute means for social beings to improve themselves, control the environment, and organize their relations with nature and other people. However, with today's fast-evolving technologies and Internet environment, information is everywhere at any time. The challenge is obtaining useful information and dealing with that information with the utmost ease through interaction with computers. Human computer interaction occurs at the user interface, which has a distinct role in determining acceptance of a system. Based on the technology acceptance model (TAM), a model that explains how information systems users accept a technology when they are presented with a new one, acceptance of a system is explained as a function of perceived usefulness (PU) and perceived ease of use (PEOU). There are several external variables that impact PU and PEOU, and those external factors affect system acceptance indirectly (Davis, Bagozzi, and Warshaw, 1989). The content and interface design of every single application should be addressed accordingly in a way to enhance the consumer's attitude about using the system by considering the related impact of external variables through system usage. Adding adaptivity into systems may be one of the ways to do so. This paper explores potential external variables that impact mobile system acceptance and the effects of those variables through the limited interface of a mobile device. We expect that different external variables have different impacts on PEOU and PU, and that adaptivity, one of the external variables that we mostly dwell upon, enhances both ease of use (EoU) and usefulness, and indirectly influences behavioral attitudes in mobile system adoption. Also, these external variables are expected to have effects on each other, which influences mobile information systems (IS) acceptance through mediation of PEOU, PU, and behavioral attitude. Prior to this study, in order to provide a more realistic set of variables as input to the final framework, several mobile user interface designs and prototypes were developed; and usability testings, questionnaires, in-depth interviews, and a brainstorming session occurred, where the framework (an experimental study) was tested with a quantitative model.The framework provided here would help mobile platform developers to finetune their system features, including both product and service features, depending on the market segment of each product derived out of a platform. This study used a mobile travel guide service as the application platform. Literature ReviewResearch has several streams related to our objectives. Many researchers in many studies and applications have delved into user interfaces, the interaction layer of the human-computer relationship, and the research has been conducted from several perspectives, including a significant amount of work specifically in the adoption of informati...

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Effects of Adaptivity and Other External Variables on Mobile Service Adoption

Cited by 8 publications

References 36 publications

New product development for the healthcare industry: A case study of diet software

New product development for the healthcare industry: A case study of diet software

Understanding Factors Affecting Mobile Services Adoption

Exploring Adaptivity in Service Development: The Case of Mobile Platforms

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