國立虎尾科技大學 |

An Investigation of the Impact of Social Media Platforms on Supply Chain Performance Through Competitive Intelligence Using AHP Model.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	An Investigation of the Impact of Social Media Platforms on Supply Chain Performance Through Competitive Intelligence Using AHP Model./
作者:	Gebremikael, Fesseha.
面頁冊數:	1 online resource (67 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.
Contained By:	Dissertation Abstracts International79-10A(E).
標題:	Transportation. -
電子資源:	click for full text (PQDT)
ISBN:	9780355981520

An Investigation of the Impact of Social Media Platforms on Supply Chain Performance Through Competitive Intelligence Using AHP Model.
Gebremikael, Fesseha.

An Investigation of the Impact of Social Media Platforms on Supply Chain Performance Through Competitive Intelligence Using AHP Model. - 1 online resource (67 pages)

Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.

Thesis (Ph.D.)--North Dakota State University, 2018.

Includes bibliographical references

This study investigates the use of social media platforms (SMPs) for acquiring supply chain intelligence (SCI) to improve supply chain performance. Given the growth of social media use, there is an urgency for increased understanding of the effectiveness of emerging SMPs. In today's competitive global environment, supply chain managers need to have a precise understanding about the SMPs that have become one of the premier sources of gaining SCI and in turn foster supply chain performance. Organizations need a methodology for selecting SMPs to remain proactive ahead of their competitors. The evolution of SMPs has caused a paradigm shift in how organizations obtain SCI to increase their revenues, profitability and reputation. The aim of this study is to apply a multi-criteria analysis using the analytic hierarchy process (AHP) to select SMPs. Stage 1 represents the primary goal, the decision maker wishes to gain in executing SMPs; Stage 2 consists of decision criteria; Stage 3 is composed of sub-criteria; and finally Stage 4 represents the SMP alternatives reported in the organizational hierarchy structure. The objective of this model is to rank the SMPs. The model includes key supply chain performance factors in the organization. The hierarchical models are used to breakdown the complex notion of supply chain performance into its constituent parts. The second phase of the hierarchical model consists of the performance indicators of which supply chain performance is composed. Hence, the modeled value is the supply chain performance in the organization. Our results indicate that the top three supply chain performance indicators are quality, assurance of supply and delivery. Meanwhile the top three types of supply chain intelligence are logistics intelligence, product/process intelligence and supply chain visibility intelligence. The top three SMP alternatives are, LinkedIn, Facebook and Twitter.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355981520Subjects--Topical Terms:

558117
Transportation.
Index Terms--Genre/Form:

554714
Electronic books.

An Investigation of the Impact of Social Media Platforms on Supply Chain Performance Through Competitive Intelligence Using AHP Model.
LDR:03221ntm a2200337Ki 4500 001 919011
005 20181106103645.5
006 m o u
007 cr mn||||a|a||
008 190606s2018 xx obm 000 0 eng d
020 $a 9780355981520
035 $a (MiAaPQ)AAI10790932
035 $a (MiAaPQ)ndsu:12068
035 $a AAI10790932
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Gebremikael, Fesseha. $3 1193482
245 1 3 $a An Investigation of the Impact of Social Media Platforms on Supply Chain Performance Through Competitive Intelligence Using AHP Model.
264 0 $c 2018
300 $a 1 online resource (67 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.
500 $a Adviser: Joseph Szmerekovsky.
502 $a Thesis (Ph.D.)--North Dakota State University, 2018.
504 $a Includes bibliographical references
520 $a This study investigates the use of social media platforms (SMPs) for acquiring supply chain intelligence (SCI) to improve supply chain performance. Given the growth of social media use, there is an urgency for increased understanding of the effectiveness of emerging SMPs. In today's competitive global environment, supply chain managers need to have a precise understanding about the SMPs that have become one of the premier sources of gaining SCI and in turn foster supply chain performance. Organizations need a methodology for selecting SMPs to remain proactive ahead of their competitors. The evolution of SMPs has caused a paradigm shift in how organizations obtain SCI to increase their revenues, profitability and reputation. The aim of this study is to apply a multi-criteria analysis using the analytic hierarchy process (AHP) to select SMPs. Stage 1 represents the primary goal, the decision maker wishes to gain in executing SMPs; Stage 2 consists of decision criteria; Stage 3 is composed of sub-criteria; and finally Stage 4 represents the SMP alternatives reported in the organizational hierarchy structure. The objective of this model is to rank the SMPs. The model includes key supply chain performance factors in the organization. The hierarchical models are used to breakdown the complex notion of supply chain performance into its constituent parts. The second phase of the hierarchical model consists of the performance indicators of which supply chain performance is composed. Hence, the modeled value is the supply chain performance in the organization. Our results indicate that the top three supply chain performance indicators are quality, assurance of supply and delivery. Meanwhile the top three types of supply chain intelligence are logistics intelligence, product/process intelligence and supply chain visibility intelligence. The top three SMP alternatives are, LinkedIn, Facebook and Twitter.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Transportation. $3 558117
650 4 $a Web studies. $3 1148502
655 7 $a Electronic books. $2 local $3 554714
690 $a 0709
690 $a 0646
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a North Dakota State University. $b Transportation. $3 1193483
773 0 $t Dissertation Abstracts International $g 79-10A(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10790932 $z click for full text (PQDT)