Collection Title:	SIU Thesis
Title :	Towards A Framework for Supply Community Network Using Social Internet of Things
Material Type:	printed text
Authors:	Mohamed Omar Abdullahi, Author ; Paul Andrew James Mason, Associated Name ; Ousanee Sawagvudcharee, Associated Name
Publisher:	Pathumthani: Shinawatra University
Publication Date:	2019
Pagination:	vi, 63 p.
Layout:	Tables, ill.
Size:	30 cm.
Price:	500.00 Baht
General note:	SIU THE: SOST-PhD-IT-2019-07 Thesis. [Ph.D [Information Technology]]. -- Shinawatra University, 2019
Languages :	English (eng)
Descriptors:	[LCSH]Computer networks -- Social aspects [LCSH]Internet of Things
Keywords:	Supply Community Network, Supply Community Agents (SCA), Flow Dimensions, Internet of Things (IoT), Social Internet of Things (SIoT)
Abstract:	Supply chain management (SCM) and its associated activities continue to evolve as new communication technologies and cooperative efforts emerge to facilitate system-wide process integration. The context within which SCs work, the technologies, and performance enhancement mechanisms has changed. Thus, linear based SCs have been challenged as firms look increasingly towards a networked SC approach to convey predominant performance. The convergence of computing, embedded sensors and network technology ushered in the Internet of Things (IoT) as a means of delivering intelligent services. More recently, SIoT signaled the inevitable fusion of IoT with social structure phenomena, enabling formation of trust-based communities among the objects (SC agents) similar to that of social networks. Due to the relative newness of SIoT, it has yet to be establish a vehicle for its application. This study therefore, employs SIoT principles to what we term supply community network management (SCNM) a theoretical framework capable of dealing with present day market dynamics. Our contribution is therefore, a new setting of social relationships between agents within SCNM mirroring possible interactions played out in the physical world where objects, autonomously sense each other, exchange information and interact within the SCNM mimicking the behavior of humans.
Curricular :	BBA/MBA/PhDM
Record link:	http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=28540

SIU Thesis. Towards A Framework for Supply Community Network Using Social Internet of Things [printed text] / Mohamed Omar Abdullahi, Author ; Paul Andrew James Mason, Associated Name ; Ousanee Sawagvudcharee, Associated Name . - [S.l.] : Pathumthani: Shinawatra University, 2019 . - vi, 63 p. : Tables, ill. ; 30 cm.
500.00 Baht
SIU THE: SOST-PhD-IT-2019-07
Thesis. [Ph.D [Information Technology]]. -- Shinawatra University, 2019
Languages : English (eng)

Descriptors:	[LCSH]Computer networks -- Social aspects [LCSH]Internet of Things
Keywords:	Supply Community Network, Supply Community Agents (SCA), Flow Dimensions, Internet of Things (IoT), Social Internet of Things (SIoT)
Abstract:	Supply chain management (SCM) and its associated activities continue to evolve as new communication technologies and cooperative efforts emerge to facilitate system-wide process integration. The context within which SCs work, the technologies, and performance enhancement mechanisms has changed. Thus, linear based SCs have been challenged as firms look increasingly towards a networked SC approach to convey predominant performance. The convergence of computing, embedded sensors and network technology ushered in the Internet of Things (IoT) as a means of delivering intelligent services. More recently, SIoT signaled the inevitable fusion of IoT with social structure phenomena, enabling formation of trust-based communities among the objects (SC agents) similar to that of social networks. Due to the relative newness of SIoT, it has yet to be establish a vehicle for its application. This study therefore, employs SIoT principles to what we term supply community network management (SCNM) a theoretical framework capable of dealing with present day market dynamics. Our contribution is therefore, a new setting of social relationships between agents within SCNM mirroring possible interactions played out in the physical world where objects, autonomously sense each other, exchange information and interact within the SCNM mimicking the behavior of humans.
Curricular :	BBA/MBA/PhDM
Record link:	http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=28540