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oapen-20.500.12657-422192020-10-02T01:08:37Z Perceived Quality of Mobile Services Dickinger, Astrid Behavioural economics Sales and marketing bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas::KJMV7 Sales & marketing management The book investigates user satisfaction with mobile services, the perceived quality of m-commerce products, and the loyalty towards service providers. After introducing the m-commerce value chain and emerging mobile services, the first part examines relevant theories from diffusion of innovations and service quality to mobile services, and identifies new trends in the mobile communication market. The book demonstrates to what extent service quality and adoption theories of consumer behavior literature explain the (repeated) usage of mobile services, and how the results differ by user segments. A-priori and a-posteriori segmentations provide detailed insights. The results indicate that it is important to consider (un)observed heterogeneity in explanatory models. 2020-10-01T17:51:13Z 2020-10-01T17:51:13Z 2008 book ONIX_20201001_9783631754511_126 https://library.oapen.org/handle/20.500.12657/42219 eng Forschungsergebnisse der Wirtschaftsuniversitaet Wien application/pdf n/a 9783631754511.pdf Peter Lang International Academic Publishers 10.3726/b13970 10.3726/b13970 e927e604-2954-4bf6-826b-d5ecb47c6555 18 202 Bern open access
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The book investigates user satisfaction with mobile services, the perceived quality of m-commerce products, and the loyalty towards service providers. After introducing the m-commerce value chain and emerging mobile services, the first part examines relevant theories from diffusion of innovations and service quality to mobile services, and identifies new trends in the mobile communication market. The book demonstrates to what extent service quality and adoption theories of consumer behavior literature explain the (repeated) usage of mobile services, and how the results differ by user segments. A-priori and a-posteriori segmentations provide detailed insights. The results indicate that it is important to consider (un)observed heterogeneity in explanatory models.
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