Suboptimal technology adoption: The case of computer reservation systems in the travel industry

Dougan, William L.; Bronson, James W.

doi:10.1016/s1047-8310(03)00026-9

Cited by 11 publications

(6 citation statements)

References 25 publications

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“…Since it began to be distributed to travel agencies, it has played a major role in enhancing business efficiency and has thereby played an essential role in the travel industry [13,22]. Thereafter, the CRS did not simply stay with the flight reservation function, as its functions were reinforced to include automatic ticketing and the automatic calculation of fares as well as reservation functions for hotels, rental cars, and railways, and it became a form of a Valuable Area Network (VAN) that can also perform travel information searches, accounting treatment work, and customer management tasks of travel agencies; in other words, it transformed into a comprehensive travel online system that supports the entire travel industry [11,12,17,[23][24][25].…”

Section: Gds and Its Functionsmentioning

confidence: 99%

“…The Global Distribution System (GDS), one of the CRSs used in the tourism industry, began with the automation of transactions between airline ticket selling agencies and airlines in airlines such as American Airlines (AA) with the aim of enhancing efficiency through the computerization of airline reservations [7,8]. In addition to airline reservations, the GDS has become an efficient means of simultaneously providing access to other travel industry services such as hotels, car rentals, tourism, ships, and railroads [9][10][11][12]. The GDS, one of the most effective information technologies used in travel agencies, is a distribution system that connects airlines and travel agencies; it plays an essential role in the aviation industry as well as in the travel industry by enabling travel agencies to provide value-added travel services to potential customers, and it is one of the most important tools for the sales of goods by all airlines and travel agencies [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

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Competitiveness Analysis of GDSs in South Korea by Using Niche Theory: Focusing on User Gratification

2020

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The purpose of this study is to analyze the competitive relationships among the four major Global Distribution Systems (GDSs), which are representative reservation systems in the tourism industry by using niche theory. To that end, niche theory, which presents the three core concepts of niche breadth, niche overlap, and niche superiority, was combined with gratification in the uses to apply the gratification niche analysis technique. Based on an extensive literature review, four factors (core functions, system functions, service functions, and additional functions) to measure user satisfaction levels by function with GDSs were extracted. Online/offline questionnaire surveys were conducted with travel agencies’ airline counter staffs who had experience using all four GDSs, and in total, 324 copies of the questionnaire were used in the analysis. The analysis results confirmed that Sabre had a competitive edge in general over the other three GDSs, while TOPAS (Amadeus) and Galileo had a comparative competitive edge in certain functions. This study suggested concrete implications that can help individual GDSs in terms of their development of functions or the establishment of marketing strategies by verifying user satisfaction by the function of individual GDSs.

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Section: Gds and Its Functionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Competitiveness Analysis of GDSs in South Korea by Using Niche Theory: Focusing on User Gratification

2020

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“…Huang and Huang () studied TAM in a women‐centric context and remarked that PU is not a contributory factor for the attitude to visit a Web site in the women‐centric context, and PEOU is less important when compared with PU and perceived playfulness. Dougan and Bronson () reviewed a case study to see the effects of path dependence, network externalities, and impacted information on the adoption of computer reservation systems. As a result, it can be concluded that service characteristics as outlined in the literature will also impact adoption.…”

Section: Literature Reviewmentioning

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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“…In order to improve interface design by figuring out how users browse search-result abstracts and how they select links, Granka, Joachims, Gay developed eye-tracking analysis of user behavior in WWW search [11]. Dougan and Bronson reviewed a case study to see the effects of path dependence, network externalities, and impacted information on the adoption of computer reservation systems [12].…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of Adaptivity and Other External Variables on Mobile Service Adoption

2009

2009 42nd Hawaii International Conference on System Sciences

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User Interface between user and information systems has a great role in system adoption. Based on technology acceptance model, acceptance of a system is explained as a function of perceived usefulness and perceived ease of use. Since there are several external variables that have an impact on perceived usefulness and perceived ease of use, the content and interface design of every single application should be addressed accordingly to enhance users intention to use the system. We propose that adding adaptive features into systems may be one of the approaches to address this phenomenon. This paper identifies external variables including adaptive behavior impacting acceptance of mobile reservation system through two prototypes.

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Suboptimal technology adoption: The case of computer reservation systems in the travel industry

Cited by 11 publications

References 25 publications

Competitiveness Analysis of GDSs in South Korea by Using Niche Theory: Focusing on User Gratification

Competitiveness Analysis of GDSs in South Korea by Using Niche Theory: Focusing on User Gratification

Exploring Adaptivity in Service Development: The Case of Mobile Platforms

Effects of Adaptivity and Other External Variables on Mobile Service Adoption

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