Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations
While supply chain analytics shows promise regarding value, benefits, and increase in performance for logistics and supply chain management (LSCM) organizations, those organizations are often either reluctant to invest or unable to achieve the returns they aspire to. This article systematically expl...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-02-01
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| Series: | Logistics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2305-6290/4/1/5 |
| _version_ | 1811212448488751104 |
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| author | Tino T. Herden Benjamin Nitsche Benno Gerlach |
| author_facet | Tino T. Herden Benjamin Nitsche Benno Gerlach |
| author_sort | Tino T. Herden |
| collection | DOAJ |
| description | While supply chain analytics shows promise regarding value, benefits, and increase in performance for logistics and supply chain management (LSCM) organizations, those organizations are often either reluctant to invest or unable to achieve the returns they aspire to. This article systematically explores the barriers LSCM organizations experience in employing supply chain analytics that contribute to such reluctance and unachieved returns and measures to overcome these barriers. This article therefore aims to systemize the barriers and measures and allocate measures to barriers in order to provide organizations with directions on how to cope with their individual barriers. By using Grounded Theory through 12 in-depth interviews and Q-Methodology to synthesize the intended results, this article derives core categories for the barriers and measures, and their impacts and relationships are mapped based on empirical evidence from various actors along the supply chain. Resultingly, the article presents the core categories of barriers and measures, including their effect on different phases of the analytics solutions life cycle, the explanation of these effects, and accompanying examples. Finally, to address the intended aim of providing directions to organizations, the article provides recommendations for overcoming the identified barriers in organizations. |
| first_indexed | 2024-04-12T05:29:38Z |
| format | Article |
| id | doaj.art-f350540a5fd34ed999689ef3fa6b7408 |
| institution | Directory Open Access Journal |
| issn | 2305-6290 |
| language | English |
| last_indexed | 2024-04-12T05:29:38Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Logistics |
| spelling | doaj.art-f350540a5fd34ed999689ef3fa6b74082022-12-22T03:46:08ZengMDPI AGLogistics2305-62902020-02-0141510.3390/logistics4010005logistics4010005Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM OrganizationsTino T. Herden0Benjamin Nitsche1Benno Gerlach2Chair of Logistics, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, GermanyChair of Logistics, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, GermanyChair of Logistics, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, GermanyWhile supply chain analytics shows promise regarding value, benefits, and increase in performance for logistics and supply chain management (LSCM) organizations, those organizations are often either reluctant to invest or unable to achieve the returns they aspire to. This article systematically explores the barriers LSCM organizations experience in employing supply chain analytics that contribute to such reluctance and unachieved returns and measures to overcome these barriers. This article therefore aims to systemize the barriers and measures and allocate measures to barriers in order to provide organizations with directions on how to cope with their individual barriers. By using Grounded Theory through 12 in-depth interviews and Q-Methodology to synthesize the intended results, this article derives core categories for the barriers and measures, and their impacts and relationships are mapped based on empirical evidence from various actors along the supply chain. Resultingly, the article presents the core categories of barriers and measures, including their effect on different phases of the analytics solutions life cycle, the explanation of these effects, and accompanying examples. Finally, to address the intended aim of providing directions to organizations, the article provides recommendations for overcoming the identified barriers in organizations.https://www.mdpi.com/2305-6290/4/1/5supply chain analyticslogisticssupply chain managementgrounded theory |
| spellingShingle | Tino T. Herden Benjamin Nitsche Benno Gerlach Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations Logistics supply chain analytics logistics supply chain management grounded theory |
| title | Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations |
| title_full | Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations |
| title_fullStr | Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations |
| title_full_unstemmed | Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations |
| title_short | Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations |
| title_sort | overcoming barriers in supply chain analytics investigating measures in lscm organizations |
| topic | supply chain analytics logistics supply chain management grounded theory |
| url | https://www.mdpi.com/2305-6290/4/1/5 |
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