On programmable universal mobile channels in a cellular Internet

Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking - MobiCom '98 ◽

10.1145/288235.288287 ◽

1998 ◽

Cited By ~ 8

Author(s):

Raymond R.-F. Liao ◽

Andrew T. Campbell

Keyword(s):

Mobile Channels

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The Geometry-Based Statistical Modeling of MIMO Mobile-to-Mobile Channels Revisited

Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems - MSWiM '15 ◽

10.1145/2811587.2811615 ◽

2015 ◽

Author(s):

Carlos Adrian Gutierrez Diaz de Leon ◽

José Trinidad Gutierrez-Mena ◽

José Martin Luna Rivera ◽

Daniel Ulises Campos Delgado

Keyword(s):

Statistical Modeling ◽

Mobile Channels

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Chronotypes’ Task-Technology Fit for Search and Purchase in Omnichannel Context

Mobile Information Systems ◽

10.1155/2019/8968264 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9

Author(s):

Syed Waqar Haider ◽

Guijun Zhuang ◽

Hammad bin Azam Hashmi ◽

Shahid Ali

Keyword(s):

University Students ◽

Complex Behavior ◽

Digital Devices ◽

The Past ◽

Mobile Channel ◽

Chinese University ◽

Mobile Channels ◽

Task Technology Fit ◽

Search For Information ◽

Morning Type

Advances in technology have led to a spurt in tech-savvy consumers displaying increasingly complex behavior. In the past, consumers concluded their search and purchases at a single physical store. Nowadays, however, they possess a number of digital devices (desktops and/or mobiles) through which they can switch channels seamlessly to search for information and make a purchase. There are very few studies that investigate desktop and mobile channels separately; this is perhaps the first study that examines the effect of chronotypes (evening- and morning-type individuals) on a sample of Chinese university students using online and mobile channels in the omnichannel process. The results from a sample of 311 digital shoppers (desktops and/or mobiles) confirm that the mobile channel offers greater task-technology fit to evening-type respondents and desktop channels present better task-technology fit to morning-type respondents to engage in the omnichannel process. Furthermore, this study discussed contributions and insights for managers to develop an effective omnichannel strategy.

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