Identification of potential barriers of EVsCI using EFA
Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce $ CO_{2} $ and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs C...
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2022 |
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© The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022 |
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Enthalten in: International Journal of Systems Assurance Engineering and Management - Springer-Verlag, 2010, 14(2022), Suppl 3 vom: 09. Feb., Seite 896-908 |
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volume:14 ; year:2022 ; number:Suppl 3 ; day:09 ; month:02 ; pages:896-908 |
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10.1007/s13198-021-01587-w |
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| 520 | |a Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce $ CO_{2} $ and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs Charging Infrastructure (EVsCI). In this study and research work, a framework is prepared with the help of a literature review with systematic literature review (SLR), experts’ opinions, stakeholders theory, and transition management concept to identify and analyze the barriers against EVsCI. Twenty barriers in the way of EVsCI have been identified for smart transportation management in developing countries. Then, an exploratory factor analysis (EFA) methodology has been applied to reduce the identified barriers forming a lesser group of the barriers to get hidden constructs and categorizing them in a four-level transition management framework. This research may help policymakers to frame policies to encourage manufacturing and to minimize barriers of EVsCI. The paper focussed to identify the barriers of EVsCI, to form a small group of barriers, and to validate four-level transition management. | ||
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10.1007/s13198-021-01587-w doi (DE-627)SPR052310698 (SPR)s13198-021-01587-w-e DE-627 ger DE-627 rakwb eng Identification of potential barriers of EVsCI using EFA 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022 Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce $ CO_{2} $ and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs Charging Infrastructure (EVsCI). In this study and research work, a framework is prepared with the help of a literature review with systematic literature review (SLR), experts’ opinions, stakeholders theory, and transition management concept to identify and analyze the barriers against EVsCI. Twenty barriers in the way of EVsCI have been identified for smart transportation management in developing countries. Then, an exploratory factor analysis (EFA) methodology has been applied to reduce the identified barriers forming a lesser group of the barriers to get hidden constructs and categorizing them in a four-level transition management framework. This research may help policymakers to frame policies to encourage manufacturing and to minimize barriers of EVsCI. The paper focussed to identify the barriers of EVsCI, to form a small group of barriers, and to validate four-level transition management. SLR (dpeaa)DE-He213 EVs (dpeaa)DE-He213 EVsCI (dpeaa)DE-He213 EFA (dpeaa)DE-He213 Barriers (dpeaa)DE-He213 Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2022), Suppl 3 vom: 09. Feb., Seite 896-908 (DE-627)SPR031222420 nnns volume:14 year:2022 number:Suppl 3 day:09 month:02 pages:896-908 https://dx.doi.org/10.1007/s13198-021-01587-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2022 Suppl 3 09 02 896-908 |
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10.1007/s13198-021-01587-w doi (DE-627)SPR052310698 (SPR)s13198-021-01587-w-e DE-627 ger DE-627 rakwb eng Identification of potential barriers of EVsCI using EFA 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022 Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce $ CO_{2} $ and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs Charging Infrastructure (EVsCI). In this study and research work, a framework is prepared with the help of a literature review with systematic literature review (SLR), experts’ opinions, stakeholders theory, and transition management concept to identify and analyze the barriers against EVsCI. Twenty barriers in the way of EVsCI have been identified for smart transportation management in developing countries. Then, an exploratory factor analysis (EFA) methodology has been applied to reduce the identified barriers forming a lesser group of the barriers to get hidden constructs and categorizing them in a four-level transition management framework. This research may help policymakers to frame policies to encourage manufacturing and to minimize barriers of EVsCI. The paper focussed to identify the barriers of EVsCI, to form a small group of barriers, and to validate four-level transition management. SLR (dpeaa)DE-He213 EVs (dpeaa)DE-He213 EVsCI (dpeaa)DE-He213 EFA (dpeaa)DE-He213 Barriers (dpeaa)DE-He213 Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2022), Suppl 3 vom: 09. Feb., Seite 896-908 (DE-627)SPR031222420 nnns volume:14 year:2022 number:Suppl 3 day:09 month:02 pages:896-908 https://dx.doi.org/10.1007/s13198-021-01587-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2022 Suppl 3 09 02 896-908 |
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10.1007/s13198-021-01587-w doi (DE-627)SPR052310698 (SPR)s13198-021-01587-w-e DE-627 ger DE-627 rakwb eng Identification of potential barriers of EVsCI using EFA 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022 Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce $ CO_{2} $ and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs Charging Infrastructure (EVsCI). In this study and research work, a framework is prepared with the help of a literature review with systematic literature review (SLR), experts’ opinions, stakeholders theory, and transition management concept to identify and analyze the barriers against EVsCI. Twenty barriers in the way of EVsCI have been identified for smart transportation management in developing countries. Then, an exploratory factor analysis (EFA) methodology has been applied to reduce the identified barriers forming a lesser group of the barriers to get hidden constructs and categorizing them in a four-level transition management framework. This research may help policymakers to frame policies to encourage manufacturing and to minimize barriers of EVsCI. The paper focussed to identify the barriers of EVsCI, to form a small group of barriers, and to validate four-level transition management. SLR (dpeaa)DE-He213 EVs (dpeaa)DE-He213 EVsCI (dpeaa)DE-He213 EFA (dpeaa)DE-He213 Barriers (dpeaa)DE-He213 Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2022), Suppl 3 vom: 09. Feb., Seite 896-908 (DE-627)SPR031222420 nnns volume:14 year:2022 number:Suppl 3 day:09 month:02 pages:896-908 https://dx.doi.org/10.1007/s13198-021-01587-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2022 Suppl 3 09 02 896-908 |
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10.1007/s13198-021-01587-w doi (DE-627)SPR052310698 (SPR)s13198-021-01587-w-e DE-627 ger DE-627 rakwb eng Identification of potential barriers of EVsCI using EFA 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022 Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce $ CO_{2} $ and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs Charging Infrastructure (EVsCI). In this study and research work, a framework is prepared with the help of a literature review with systematic literature review (SLR), experts’ opinions, stakeholders theory, and transition management concept to identify and analyze the barriers against EVsCI. Twenty barriers in the way of EVsCI have been identified for smart transportation management in developing countries. Then, an exploratory factor analysis (EFA) methodology has been applied to reduce the identified barriers forming a lesser group of the barriers to get hidden constructs and categorizing them in a four-level transition management framework. This research may help policymakers to frame policies to encourage manufacturing and to minimize barriers of EVsCI. The paper focussed to identify the barriers of EVsCI, to form a small group of barriers, and to validate four-level transition management. SLR (dpeaa)DE-He213 EVs (dpeaa)DE-He213 EVsCI (dpeaa)DE-He213 EFA (dpeaa)DE-He213 Barriers (dpeaa)DE-He213 Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2022), Suppl 3 vom: 09. Feb., Seite 896-908 (DE-627)SPR031222420 nnns volume:14 year:2022 number:Suppl 3 day:09 month:02 pages:896-908 https://dx.doi.org/10.1007/s13198-021-01587-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2022 Suppl 3 09 02 896-908 |
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Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce $ CO_{2} $ and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs Charging Infrastructure (EVsCI). In this study and research work, a framework is prepared with the help of a literature review with systematic literature review (SLR), experts’ opinions, stakeholders theory, and transition management concept to identify and analyze the barriers against EVsCI. Twenty barriers in the way of EVsCI have been identified for smart transportation management in developing countries. Then, an exploratory factor analysis (EFA) methodology has been applied to reduce the identified barriers forming a lesser group of the barriers to get hidden constructs and categorizing them in a four-level transition management framework. This research may help policymakers to frame policies to encourage manufacturing and to minimize barriers of EVsCI. The paper focussed to identify the barriers of EVsCI, to form a small group of barriers, and to validate four-level transition management. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022 |
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Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce $ CO_{2} $ and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs Charging Infrastructure (EVsCI). In this study and research work, a framework is prepared with the help of a literature review with systematic literature review (SLR), experts’ opinions, stakeholders theory, and transition management concept to identify and analyze the barriers against EVsCI. Twenty barriers in the way of EVsCI have been identified for smart transportation management in developing countries. Then, an exploratory factor analysis (EFA) methodology has been applied to reduce the identified barriers forming a lesser group of the barriers to get hidden constructs and categorizing them in a four-level transition management framework. This research may help policymakers to frame policies to encourage manufacturing and to minimize barriers of EVsCI. The paper focussed to identify the barriers of EVsCI, to form a small group of barriers, and to validate four-level transition management. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022 |
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Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce $ CO_{2} $ and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs Charging Infrastructure (EVsCI). In this study and research work, a framework is prepared with the help of a literature review with systematic literature review (SLR), experts’ opinions, stakeholders theory, and transition management concept to identify and analyze the barriers against EVsCI. Twenty barriers in the way of EVsCI have been identified for smart transportation management in developing countries. Then, an exploratory factor analysis (EFA) methodology has been applied to reduce the identified barriers forming a lesser group of the barriers to get hidden constructs and categorizing them in a four-level transition management framework. This research may help policymakers to frame policies to encourage manufacturing and to minimize barriers of EVsCI. The paper focussed to identify the barriers of EVsCI, to form a small group of barriers, and to validate four-level transition management. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR052310698</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230720064803.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230720s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s13198-021-01587-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR052310698</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s13198-021-01587-w-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Identification of potential barriers of EVsCI using EFA</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Electric vehicles (EVs) reduce dependency on traditional fuel and these also reduce $ CO_{2} $ and other greenhouse gases emission with respect to the traditional transportation system. However, manufacturers have to face some challenges/barriers in the way of providing proper EVs and EVs Charging Infrastructure (EVsCI). In this study and research work, a framework is prepared with the help of a literature review with systematic literature review (SLR), experts’ opinions, stakeholders theory, and transition management concept to identify and analyze the barriers against EVsCI. Twenty barriers in the way of EVsCI have been identified for smart transportation management in developing countries. Then, an exploratory factor analysis (EFA) methodology has been applied to reduce the identified barriers forming a lesser group of the barriers to get hidden constructs and categorizing them in a four-level transition management framework. This research may help policymakers to frame policies to encourage manufacturing and to minimize barriers of EVsCI. 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