An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain
Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Irannezhad, Mandana [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Atomic collapse in graphene quantum dots in a magnetic field - Eren, I. ELSEVIER, 2022, the official journal of the World Federation on Soft Computing (WFSC), Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:112 ; year:2021 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.asoc.2021.107832 |
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ELV055804772 |
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| 520 | |a Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. | ||
| 520 | |a Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. | ||
| 650 | 7 | |a Readiness |2 Elsevier | |
| 650 | 7 | |a Fuzzy best–worst method (FBWM) |2 Elsevier | |
| 650 | 7 | |a Blockchain technology |2 Elsevier | |
| 650 | 7 | |a Fuzzy cognitive map (FCM) |2 Elsevier | |
| 650 | 7 | |a Supply chain management (SCM) |2 Elsevier | |
| 700 | 1 | |a Shokouhyar, Sajjad |4 oth | |
| 700 | 1 | |a Ahmadi, Sadra |4 oth | |
| 700 | 1 | |a Papageorgiou, Elpiniki I. |4 oth | |
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10.1016/j.asoc.2021.107832 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001576.pica (DE-627)ELV055804772 (ELSEVIER)S1568-4946(21)00753-5 DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Irannezhad, Mandana verfasserin aut An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. Readiness Elsevier Fuzzy best–worst method (FBWM) Elsevier Blockchain technology Elsevier Fuzzy cognitive map (FCM) Elsevier Supply chain management (SCM) Elsevier Shokouhyar, Sajjad oth Ahmadi, Sadra oth Papageorgiou, Elpiniki I. oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:112 year:2021 pages:0 https://doi.org/10.1016/j.asoc.2021.107832 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 112 2021 0 |
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10.1016/j.asoc.2021.107832 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001576.pica (DE-627)ELV055804772 (ELSEVIER)S1568-4946(21)00753-5 DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Irannezhad, Mandana verfasserin aut An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. Readiness Elsevier Fuzzy best–worst method (FBWM) Elsevier Blockchain technology Elsevier Fuzzy cognitive map (FCM) Elsevier Supply chain management (SCM) Elsevier Shokouhyar, Sajjad oth Ahmadi, Sadra oth Papageorgiou, Elpiniki I. oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:112 year:2021 pages:0 https://doi.org/10.1016/j.asoc.2021.107832 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 112 2021 0 |
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10.1016/j.asoc.2021.107832 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001576.pica (DE-627)ELV055804772 (ELSEVIER)S1568-4946(21)00753-5 DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Irannezhad, Mandana verfasserin aut An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. Readiness Elsevier Fuzzy best–worst method (FBWM) Elsevier Blockchain technology Elsevier Fuzzy cognitive map (FCM) Elsevier Supply chain management (SCM) Elsevier Shokouhyar, Sajjad oth Ahmadi, Sadra oth Papageorgiou, Elpiniki I. oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:112 year:2021 pages:0 https://doi.org/10.1016/j.asoc.2021.107832 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 112 2021 0 |
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10.1016/j.asoc.2021.107832 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001576.pica (DE-627)ELV055804772 (ELSEVIER)S1568-4946(21)00753-5 DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Irannezhad, Mandana verfasserin aut An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. Readiness Elsevier Fuzzy best–worst method (FBWM) Elsevier Blockchain technology Elsevier Fuzzy cognitive map (FCM) Elsevier Supply chain management (SCM) Elsevier Shokouhyar, Sajjad oth Ahmadi, Sadra oth Papageorgiou, Elpiniki I. oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:112 year:2021 pages:0 https://doi.org/10.1016/j.asoc.2021.107832 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 112 2021 0 |
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10.1016/j.asoc.2021.107832 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001576.pica (DE-627)ELV055804772 (ELSEVIER)S1568-4946(21)00753-5 DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Irannezhad, Mandana verfasserin aut An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. Readiness Elsevier Fuzzy best–worst method (FBWM) Elsevier Blockchain technology Elsevier Fuzzy cognitive map (FCM) Elsevier Supply chain management (SCM) Elsevier Shokouhyar, Sajjad oth Ahmadi, Sadra oth Papageorgiou, Elpiniki I. oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:112 year:2021 pages:0 https://doi.org/10.1016/j.asoc.2021.107832 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 112 2021 0 |
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An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain |
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Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. |
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Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. |
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Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth implementation, supply chain organizations must perform various activities to acquire readiness. This paper proposes a readiness assessment and management approach for blockchain implementation in the supply chain. The proposed approach allows supply chain decision-makers to (1) identify the readiness-relevant activities for blockchain implementation, (2) model the causal relationships among the identified activities, (3) assess the activities’ contribution weights to the overall readiness, and (4) develop an effective readiness improvement plan by prioritizing those activities with the most impact on the overall readiness. Fuzzy cognitive maps (FCMs) are employed to model the causal relationships between the activities. The fuzzy best–worst method (FBWM) is adopted to establish the contribution weights of the activities to the supply chain’s overall readiness. The FCM inference process is also used to incorporate feedback loops among the activities. The proposed approach is then illustrated through an empirical study. |
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