Cluster-based mobile-to-mobile channel characterization for realistic modelling of multipath-components

Author(s):  
Jochen Martin-Creuzburg ◽  
Jorg Fischer ◽  
Robert Koch ◽  
Markus Landmann ◽  
Reiner Thoma
2019 ◽  
Vol 23 (1) ◽  
pp. 264-277
Author(s):  
Dr. Karney Damodar ◽  
Kannan Vanisree ◽  
A. Adi Narayana

2012 ◽  
Author(s):  
L. C. Andrews ◽  
R. L. Phillips ◽  
R. Crabbs ◽  
T. Leclerc ◽  
P. Sauer

2019 ◽  
Author(s):  
Qinglai He ◽  
Victor Benjamin ◽  
Yili Hong ◽  
T. S. Raghu
Keyword(s):  

Author(s):  
Maximilian Lubke ◽  
Hussein Hamoud ◽  
Jonas Fuchs ◽  
Anand Dubey ◽  
Robert Weigel ◽  
...  

Author(s):  
Varvara V. Elesina ◽  
Alexander G. Kuznetsov ◽  
George V. Chukov ◽  
Vadim V. Elesin ◽  
Nikolay A. Usachev

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Syed Waqar Haider ◽  
Guijun Zhuang ◽  
Hammad bin Azam Hashmi ◽  
Shahid Ali

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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