Process model abstraction for rapid comprehension of complex business processes
Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understoo...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Tsagkani, Christina [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
|---|
| Schlagwörter: |
Business process model abstraction Business process modeling notation |
|---|
| Übergeordnetes Werk: |
Enthalten in: Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty - Cheah, Jonathan W. ELSEVIER, 2022, IS : an international journal : data bases, Oxford [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:103 ; year:2022 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.is.2021.101818 |
|---|
| Katalog-ID: |
ELV05532021X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV05532021X | ||
| 003 | DE-627 | ||
| 005 | 20230626041519.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220105s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.is.2021.101818 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001530.pica |
| 035 | |a (DE-627)ELV05532021X | ||
| 035 | |a (ELSEVIER)S0306-4379(21)00062-4 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 610 |q VZ |
| 084 | |a 44.83 |2 bkl | ||
| 100 | 1 | |a Tsagkani, Christina |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Process model abstraction for rapid comprehension of complex business processes |
| 264 | 1 | |c 2022transfer abstract | |
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. | ||
| 520 | |a Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. | ||
| 650 | 7 | |a Business process model abstraction |2 Elsevier | |
| 650 | 7 | |a Business process modeling notation |2 Elsevier | |
| 650 | 7 | |a Business process model management |2 Elsevier | |
| 650 | 7 | |a Business process modeling |2 Elsevier | |
| 700 | 1 | |a Tsalgatidou, Aphrodite |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Pergamon Press |a Cheah, Jonathan W. ELSEVIER |t Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |d 2022 |d IS : an international journal : data bases |g Oxford [u.a.] |w (DE-627)ELV007912846 |
| 773 | 1 | 8 | |g volume:103 |g year:2022 |g pages:0 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.is.2021.101818 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 44.83 |j Rheumatologie |j Orthopädie |q VZ |
| 951 | |a AR | ||
| 952 | |d 103 |j 2022 |h 0 | ||
| author_variant |
c t ct |
|---|---|
| matchkey_str |
tsagkanichristinatsalgatidouaphrodite:2022----:rcsmdlbtatofraicmrhninfop |
| hierarchy_sort_str |
2022transfer abstract |
| bklnumber |
44.83 |
| publishDate |
2022 |
| allfields |
10.1016/j.is.2021.101818 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001530.pica (DE-627)ELV05532021X (ELSEVIER)S0306-4379(21)00062-4 DE-627 ger DE-627 rakwb eng 610 VZ 44.83 bkl Tsagkani, Christina verfasserin aut Process model abstraction for rapid comprehension of complex business processes 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. Business process model abstraction Elsevier Business process modeling notation Elsevier Business process model management Elsevier Business process modeling Elsevier Tsalgatidou, Aphrodite oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:103 year:2022 pages:0 https://doi.org/10.1016/j.is.2021.101818 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 103 2022 0 |
| spelling |
10.1016/j.is.2021.101818 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001530.pica (DE-627)ELV05532021X (ELSEVIER)S0306-4379(21)00062-4 DE-627 ger DE-627 rakwb eng 610 VZ 44.83 bkl Tsagkani, Christina verfasserin aut Process model abstraction for rapid comprehension of complex business processes 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. Business process model abstraction Elsevier Business process modeling notation Elsevier Business process model management Elsevier Business process modeling Elsevier Tsalgatidou, Aphrodite oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:103 year:2022 pages:0 https://doi.org/10.1016/j.is.2021.101818 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 103 2022 0 |
| allfields_unstemmed |
10.1016/j.is.2021.101818 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001530.pica (DE-627)ELV05532021X (ELSEVIER)S0306-4379(21)00062-4 DE-627 ger DE-627 rakwb eng 610 VZ 44.83 bkl Tsagkani, Christina verfasserin aut Process model abstraction for rapid comprehension of complex business processes 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. Business process model abstraction Elsevier Business process modeling notation Elsevier Business process model management Elsevier Business process modeling Elsevier Tsalgatidou, Aphrodite oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:103 year:2022 pages:0 https://doi.org/10.1016/j.is.2021.101818 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 103 2022 0 |
| allfieldsGer |
10.1016/j.is.2021.101818 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001530.pica (DE-627)ELV05532021X (ELSEVIER)S0306-4379(21)00062-4 DE-627 ger DE-627 rakwb eng 610 VZ 44.83 bkl Tsagkani, Christina verfasserin aut Process model abstraction for rapid comprehension of complex business processes 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. Business process model abstraction Elsevier Business process modeling notation Elsevier Business process model management Elsevier Business process modeling Elsevier Tsalgatidou, Aphrodite oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:103 year:2022 pages:0 https://doi.org/10.1016/j.is.2021.101818 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 103 2022 0 |
| allfieldsSound |
10.1016/j.is.2021.101818 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001530.pica (DE-627)ELV05532021X (ELSEVIER)S0306-4379(21)00062-4 DE-627 ger DE-627 rakwb eng 610 VZ 44.83 bkl Tsagkani, Christina verfasserin aut Process model abstraction for rapid comprehension of complex business processes 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. Business process model abstraction Elsevier Business process modeling notation Elsevier Business process model management Elsevier Business process modeling Elsevier Tsalgatidou, Aphrodite oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:103 year:2022 pages:0 https://doi.org/10.1016/j.is.2021.101818 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 103 2022 0 |
| language |
English |
| source |
Enthalten in Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty Oxford [u.a.] volume:103 year:2022 pages:0 |
| sourceStr |
Enthalten in Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty Oxford [u.a.] volume:103 year:2022 pages:0 |
| format_phy_str_mv |
Article |
| bklname |
Rheumatologie Orthopädie |
| institution |
findex.gbv.de |
| topic_facet |
Business process model abstraction Business process modeling notation Business process model management Business process modeling |
| dewey-raw |
610 |
| isfreeaccess_bool |
false |
| container_title |
Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
| authorswithroles_txt_mv |
Tsagkani, Christina @@aut@@ Tsalgatidou, Aphrodite @@oth@@ |
| publishDateDaySort_date |
2022-01-01T00:00:00Z |
| hierarchy_top_id |
ELV007912846 |
| dewey-sort |
3610 |
| id |
ELV05532021X |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV05532021X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626041519.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220105s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.is.2021.101818</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001530.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV05532021X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0306-4379(21)00062-4</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="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.83</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tsagkani, Christina</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Process model abstraction for rapid comprehension of complex business processes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Business process model abstraction</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Business process modeling notation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Business process model management</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Business process modeling</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tsalgatidou, Aphrodite</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Pergamon Press</subfield><subfield code="a">Cheah, Jonathan W. ELSEVIER</subfield><subfield code="t">Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty</subfield><subfield code="d">2022</subfield><subfield code="d">IS : an international journal : data bases</subfield><subfield code="g">Oxford [u.a.]</subfield><subfield code="w">(DE-627)ELV007912846</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:103</subfield><subfield code="g">year:2022</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.is.2021.101818</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.83</subfield><subfield code="j">Rheumatologie</subfield><subfield code="j">Orthopädie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">103</subfield><subfield code="j">2022</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| author |
Tsagkani, Christina |
| spellingShingle |
Tsagkani, Christina ddc 610 bkl 44.83 Elsevier Business process model abstraction Elsevier Business process modeling notation Elsevier Business process model management Elsevier Business process modeling Process model abstraction for rapid comprehension of complex business processes |
| authorStr |
Tsagkani, Christina |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV007912846 |
| format |
electronic Article |
| dewey-ones |
610 - Medicine & health |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
610 VZ 44.83 bkl Process model abstraction for rapid comprehension of complex business processes Business process model abstraction Elsevier Business process modeling notation Elsevier Business process model management Elsevier Business process modeling Elsevier |
| topic |
ddc 610 bkl 44.83 Elsevier Business process model abstraction Elsevier Business process modeling notation Elsevier Business process model management Elsevier Business process modeling |
| topic_unstemmed |
ddc 610 bkl 44.83 Elsevier Business process model abstraction Elsevier Business process modeling notation Elsevier Business process model management Elsevier Business process modeling |
| topic_browse |
ddc 610 bkl 44.83 Elsevier Business process model abstraction Elsevier Business process modeling notation Elsevier Business process model management Elsevier Business process modeling |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
a t at |
| hierarchy_parent_title |
Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
| hierarchy_parent_id |
ELV007912846 |
| dewey-tens |
610 - Medicine & health |
| hierarchy_top_title |
Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV007912846 |
| title |
Process model abstraction for rapid comprehension of complex business processes |
| ctrlnum |
(DE-627)ELV05532021X (ELSEVIER)S0306-4379(21)00062-4 |
| title_full |
Process model abstraction for rapid comprehension of complex business processes |
| author_sort |
Tsagkani, Christina |
| journal |
Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
| journalStr |
Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2022 |
| contenttype_str_mv |
zzz |
| container_start_page |
0 |
| author_browse |
Tsagkani, Christina |
| container_volume |
103 |
| class |
610 VZ 44.83 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Tsagkani, Christina |
| doi_str_mv |
10.1016/j.is.2021.101818 |
| dewey-full |
610 |
| title_sort |
process model abstraction for rapid comprehension of complex business processes |
| title_auth |
Process model abstraction for rapid comprehension of complex business processes |
| abstract |
Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. |
| abstractGer |
Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. |
| abstract_unstemmed |
Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA |
| title_short |
Process model abstraction for rapid comprehension of complex business processes |
| url |
https://doi.org/10.1016/j.is.2021.101818 |
| remote_bool |
true |
| author2 |
Tsalgatidou, Aphrodite |
| author2Str |
Tsalgatidou, Aphrodite |
| ppnlink |
ELV007912846 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| doi_str |
10.1016/j.is.2021.101818 |
| up_date |
2024-07-06T17:13:15.011Z |
| _version_ |
1803850607506751488 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV05532021X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626041519.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220105s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.is.2021.101818</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001530.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV05532021X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0306-4379(21)00062-4</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="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.83</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tsagkani, Christina</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Process model abstraction for rapid comprehension of complex business processes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Business process management has been widely adopted by many organizations, resulting in the accumulation of large collections of process models. The majority of these models are rather large and complex. Even though such models constitute a great source of knowledge, they cannot be easily understood by all process stakeholders. Process model abstraction techniques have been proven effective in generating easy to comprehend, high-level views on business process models; thus, such techniques change the way that detailed process models may be utilized within an organization. Although much attention has been given to abstract activities of process models, to the best of our knowledge, there are no research works that deliver abstract process model views, by considering as candidates for abstraction not only activities but also other process model elements. In this paper, we present an abstraction approach that simplifies existing process models by focusing not only on the abstraction of activities, but also on the abstraction of data, roles, messages and artifacts. The proposed approach exploits both model structure and element properties, while it is grounded on a set of abstraction rules. A prototype tool has been implemented as a proof of concept; this tool has been used for validating the proposed approach by automatically applying the suggested abstraction rules to different sets of real-world process models. A number of process stakeholders have also been involved in this validation. Thus, it is empirically proved that the presented work is an effective process model abstraction method that increases the usability of complex business process models, as it enables their rapid comprehension by process stakeholders.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Business process model abstraction</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Business process modeling notation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Business process model management</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Business process modeling</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tsalgatidou, Aphrodite</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Pergamon Press</subfield><subfield code="a">Cheah, Jonathan W. ELSEVIER</subfield><subfield code="t">Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty</subfield><subfield code="d">2022</subfield><subfield code="d">IS : an international journal : data bases</subfield><subfield code="g">Oxford [u.a.]</subfield><subfield code="w">(DE-627)ELV007912846</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:103</subfield><subfield code="g">year:2022</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.is.2021.101818</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.83</subfield><subfield code="j">Rheumatologie</subfield><subfield code="j">Orthopädie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">103</subfield><subfield code="j">2022</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| score |
7.399646 |