An Integrative Model for Self-Service Technology Adoption

Ying Chieh Yang; Yih Yuan Yang; Sheng Wen Liu

doi:10.4028/www.scientific.net/AMM.182-183.1387

Paper Titles

Video Based Visual Speech Feature Model Construction
p.1367

A Fuzzy Robust Model to a Project Decision Management for DMSMS Problem
p.1372

Control System Design and Research of Parallel Ship Motion Simulator
p.1377

A Simulation and Verification Tool for Online Scheduling Algorithms Based on Component Technology
p.1383

An Integrative Model for Self-Service Technology Adoption
p.1387

An Intelligent Monitoring System Using a ZigBee-Base Sensor Network
p.1393

Construct Automatic Monitoring System for Residential District Street Lamps to Increase Maintenance Efficiency
p.1402

The Numerical Simulation on the Atomization Process of Fluid Movement in the Jet Exhausting Atomization Nozzle
p.1408

Flight Rerouting Path Planning Based on Artificial Potential Field and Genetic Algorithm
p.1413

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 182-183An Integrative Model for Self-Service Technology...

An Integrative Model for Self-Service Technology Adoption

Abstract:

With the tremendous growth of self-service technologies (SSTs) in many industries, SSTs in service provision are recognized as more effective and important technologies to minimize investment costs and maximize service quality. By means of reviewing and integrating literature in several fields, the present paper attempts to provide an understanding of links between SST characteristics, consumer propensity towards SST usage, social pressures, and SST adoption. This paper also advances 14 tentative propositions for additional research and develops a conceptual model to predict and explain consumer attitudes and intentions towards SST usage. Besides the need for empirical confirmation of the propositions given, finally, there are several practical implications for service marketers and future research directions for scholars.

You might also be interested in these eBooks

Applied Mechanics and Mechatronics Automation

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 182-183)

Pages:

1387-1392

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.182-183.1387

Citation:

Cite this paper

Online since:

June 2012

Authors:

Ying Chieh Yang, Yih Yuan Yang, Sheng Wen Liu

Keywords:

Consumer Propensity, Self-Service Technologies (SSTs), Social Pressures, SST Adoption, SST Characteristics

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] I. Ajzen: The theory of planned behavior. Organizational Behavior and Human Decision Processes Vol. 50-2 (1991), pp.179-211.

DOI: 10.1016/0749-5978(91)90020-t

Google Scholar

[2] M.J. Bitner: Self-service technologies: what do customers expect?. Marketing Management Vol. 10-1 (2001), pp.10-11.

Google Scholar

[3] M.J. Bitner, A.L. Ostrom and M.M. Meuter: Implementing successful self-service technologies. Academy of Management Executive Vol. 16-4 (2002), pp.96-108.

DOI: 10.5465/ame.2002.8951333

Google Scholar

[4] P. Burrows: The Era of efficiency. Business Week Vol. 18 (2001), pp.94-98.

Google Scholar

[5] R.S. Burt: Social contagion and innovation: cohesion versus structural equivalence. American Journal of Sociology Vol. 92-6 (1987), pp.1287-1335.

DOI: 10.1086/228667

Google Scholar

[6] C.H. Cooley: Social Organization: a Study of the Larger Mind. New York, NY: Charles Scribner's Sons (1909).

Google Scholar

[7] D.F. Cox and S.U. Rich: Perceived risk and consumer decision-making: the case of the telephone shopping. Journal of Marketing Research Vol. 1-4 (1964), pp.32-41.

DOI: 10.2307/3150375

Google Scholar