---
_id: '54181'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Kannan
full_name: Govindan, Kannan
last_name: Govindan
- first_name: Arash Khalili
full_name: Nasr, Arash Khalili
last_name: Nasr
- first_name: Mohammad Saeed
full_name: Heidary, Mohammad Saeed
last_name: Heidary
- first_name: Hassan
full_name: Mina, Hassan
last_name: Mina
citation:
ama: Tavana M, Govindan K, Nasr AK, Heidary MS, Mina H. A mathematical programming
approach for equitable COVID-19 vaccine distribution in developing countries.
Annals of Operations Research. Published online 2021. doi:10.1007/s10479-021-04130-z
apa: Tavana, M., Govindan, K., Nasr, A. K., Heidary, M. S., & Mina, H. (2021).
A mathematical programming approach for equitable COVID-19 vaccine distribution
in developing countries. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04130-z
bibtex: '@article{Tavana_Govindan_Nasr_Heidary_Mina_2021, title={A mathematical
programming approach for equitable COVID-19 vaccine distribution in developing
countries}, DOI={10.1007/s10479-021-04130-z},
journal={Annals of Operations Research}, publisher={Springer Science and Business
Media LLC}, author={Tavana, Madjid and Govindan, Kannan and Nasr, Arash Khalili
and Heidary, Mohammad Saeed and Mina, Hassan}, year={2021} }'
chicago: Tavana, Madjid, Kannan Govindan, Arash Khalili Nasr, Mohammad Saeed Heidary,
and Hassan Mina. “A Mathematical Programming Approach for Equitable COVID-19 Vaccine
Distribution in Developing Countries.” Annals of Operations Research, 2021.
https://doi.org/10.1007/s10479-021-04130-z.
ieee: 'M. Tavana, K. Govindan, A. K. Nasr, M. S. Heidary, and H. Mina, “A mathematical
programming approach for equitable COVID-19 vaccine distribution in developing
countries,” Annals of Operations Research, 2021, doi: 10.1007/s10479-021-04130-z.'
mla: Tavana, Madjid, et al. “A Mathematical Programming Approach for Equitable COVID-19
Vaccine Distribution in Developing Countries.” Annals of Operations Research,
Springer Science and Business Media LLC, 2021, doi:10.1007/s10479-021-04130-z.
short: M. Tavana, K. Govindan, A.K. Nasr, M.S. Heidary, H. Mina, Annals of Operations
Research (2021).
date_created: 2024-05-11T12:24:55Z
date_updated: 2024-05-11T12:40:00Z
department:
- _id: '277'
doi: 10.1007/s10479-021-04130-z
language:
- iso: eng
publication: Annals of Operations Research
publication_identifier:
issn:
- 0254-5330
- 1572-9338
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: A mathematical programming approach for equitable COVID-19 vaccine distribution
in developing countries
type: journal_article
user_id: '51811'
year: '2021'
...
---
_id: '54191'
author:
- first_name: Hannan
full_name: Amoozad Mahdiraji, Hannan
last_name: Amoozad Mahdiraji
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Pouya
full_name: Mahdiani, Pouya
last_name: Mahdiani
- first_name: Ali Asghar
full_name: Abbasi Kamardi, Ali Asghar
last_name: Abbasi Kamardi
citation:
ama: 'Amoozad Mahdiraji H, Tavana M, Mahdiani P, Abbasi Kamardi AA. A multi-attribute
data mining model for rule extraction and service operations benchmarking. Benchmarking:
An International Journal. 2021;29(2):456-495. doi:10.1108/bij-03-2021-0127'
apa: 'Amoozad Mahdiraji, H., Tavana, M., Mahdiani, P., & Abbasi Kamardi, A.
A. (2021). A multi-attribute data mining model for rule extraction and service
operations benchmarking. Benchmarking: An International Journal, 29(2),
456–495. https://doi.org/10.1108/bij-03-2021-0127'
bibtex: '@article{Amoozad Mahdiraji_Tavana_Mahdiani_Abbasi Kamardi_2021, title={A
multi-attribute data mining model for rule extraction and service operations benchmarking},
volume={29}, DOI={10.1108/bij-03-2021-0127},
number={2}, journal={Benchmarking: An International Journal}, publisher={Emerald},
author={Amoozad Mahdiraji, Hannan and Tavana, Madjid and Mahdiani, Pouya and Abbasi
Kamardi, Ali Asghar}, year={2021}, pages={456–495} }'
chicago: 'Amoozad Mahdiraji, Hannan, Madjid Tavana, Pouya Mahdiani, and Ali Asghar
Abbasi Kamardi. “A Multi-Attribute Data Mining Model for Rule Extraction and Service
Operations Benchmarking.” Benchmarking: An International Journal 29, no.
2 (2021): 456–95. https://doi.org/10.1108/bij-03-2021-0127.'
ieee: 'H. Amoozad Mahdiraji, M. Tavana, P. Mahdiani, and A. A. Abbasi Kamardi, “A
multi-attribute data mining model for rule extraction and service operations benchmarking,”
Benchmarking: An International Journal, vol. 29, no. 2, pp. 456–495, 2021,
doi: 10.1108/bij-03-2021-0127.'
mla: 'Amoozad Mahdiraji, Hannan, et al. “A Multi-Attribute Data Mining Model for
Rule Extraction and Service Operations Benchmarking.” Benchmarking: An International
Journal, vol. 29, no. 2, Emerald, 2021, pp. 456–95, doi:10.1108/bij-03-2021-0127.'
short: 'H. Amoozad Mahdiraji, M. Tavana, P. Mahdiani, A.A. Abbasi Kamardi, Benchmarking:
An International Journal 29 (2021) 456–495.'
date_created: 2024-05-11T13:05:17Z
date_updated: 2026-04-27T09:12:55Z
department:
- _id: '277'
doi: 10.1108/bij-03-2021-0127
intvolume: ' 29'
issue: '2'
language:
- iso: eng
page: 456-495
publication: 'Benchmarking: An International Journal'
publication_identifier:
issn:
- 1463-5771
publication_status: published
publisher: Emerald
status: public
title: A multi-attribute data mining model for rule extraction and service operations
benchmarking
type: journal_article
user_id: '51811'
volume: 29
year: '2021'
...
---
_id: '17019'
abstract:
- lang: eng
text: The scientific impact of research papers is multi-dimensional and can be determined
quantitatively by means of citation analysis and qualitatively by means of content
analysis. Accounting for the widely acknowledged limitations of pure citation
analysis, we adopt a knowledge-based perspective on scientific impact to develop
a methodology for content-based citation analysis which allows determining how
papers have enabled knowledge development in subsequent research (knowledge impact).
As knowledge development differs between research genres, we develop a new knowledgebased
citation analysis methodology for the genre of standalone literature reviews (LRs).
We apply the suggested methodology to the IS business value domain by manually
coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge
the assumption that citations indicate knowledge impact. We derive implications
for distinguishing knowledge impact from citation impact in the LR genre. Finally,
we develop recommendations for authors of LRs, scientific evaluation committees
and editorial boards of journals how to apply and benefit from the suggested methodology,
and we discuss its efficiency and automatization.
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
citation:
ama: 'Schryen G, Wagner G, Benlian A. Distinguishing Knowledge Impact from Citation
Impact: A Methodology for Analysing Knowledge Impact for the Literature Review
Genre.; 2020.'
apa: 'Schryen, G., Wagner, G., & Benlian, A. (2020). Distinguishing Knowledge
Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for
the Literature Review Genre.'
bibtex: '@book{Schryen_Wagner_Benlian_2020, title={Distinguishing Knowledge Impact
from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature
Review Genre}, author={Schryen, Guido and Wagner, Gerit and Benlian, Alexander},
year={2020} }'
chicago: 'Schryen, Guido, Gerit Wagner, and Alexander Benlian. Distinguishing
Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact
for the Literature Review Genre, 2020.'
ieee: 'G. Schryen, G. Wagner, and A. Benlian, Distinguishing Knowledge Impact
from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature
Review Genre. 2020.'
mla: 'Schryen, Guido, et al. Distinguishing Knowledge Impact from Citation Impact:
A Methodology for Analysing Knowledge Impact for the Literature Review Genre.
2020.'
short: 'G. Schryen, G. Wagner, A. Benlian, Distinguishing Knowledge Impact from
Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature
Review Genre, 2020.'
date_created: 2020-05-19T15:12:33Z
date_updated: 2022-01-06T06:53:02Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-05-19T15:09:28Z
date_updated: 2020-05-19T15:09:28Z
file_id: '17020'
file_name: SSRN-id3581789.pdf
file_size: 487351
relation: main_file
file_date_updated: 2020-05-19T15:09:28Z
has_accepted_license: '1'
keyword:
- Scientific impact
- knowledge impact
- content-based citation analysis
- methodology
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ssrn.com/abstract=3581789
oa: '1'
status: public
title: 'Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing
Knowledge Impact for the Literature Review Genre'
type: working_paper
user_id: '61579'
year: '2020'
...
---
_id: '17055'
abstract:
- lang: eng
text: Understanding a new literature corpus can be a grueling experience for junior
scholars. Nevertheless, corresponding guidelines have not been updated for decades.
We contend that the traditional strategy of skimming all papers and reading selected
papers afterwards needs to be revised. Therefore, we design a new strategy that
guides the overall exploratory process by prioritizing influential papers for
initial reading, followed by skimming the remaining papers. Consistent with schemata
theory, starting with in-depth reading allows readers to acquire more substantial
prior content schemata, which are representa-tive for the literature corpus and
useful in the following skimming process. To this end, we develop a prototype
that identifies the influential papers from a set of PDFs, which is illustrated
in a case study in the IT business value domain. With the new strategy, we envision
a more efficient process of exploring unknown literature corpora.
author:
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Philipp
full_name: Empl, Philipp
last_name: Empl
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Wagner G, Empl P, Schryen G. Designing a Novel Strategy for Exploring Literature
Corpora. In: 28th European Conference on Information Systems (ECIS 2020).
; 2020.'
apa: Wagner, G., Empl, P., & Schryen, G. (2020). Designing a Novel Strategy
for Exploring Literature Corpora. In 28th European Conference on Information
Systems (ECIS 2020). Marrakesh, Morocco.
bibtex: '@inproceedings{Wagner_Empl_Schryen_2020, title={Designing a Novel Strategy
for Exploring Literature Corpora}, booktitle={28th European Conference on Information
Systems (ECIS 2020)}, author={Wagner, Gerit and Empl, Philipp and Schryen, Guido},
year={2020} }'
chicago: Wagner, Gerit, Philipp Empl, and Guido Schryen. “Designing a Novel Strategy
for Exploring Literature Corpora.” In 28th European Conference on Information
Systems (ECIS 2020), 2020.
ieee: G. Wagner, P. Empl, and G. Schryen, “Designing a Novel Strategy for Exploring
Literature Corpora,” in 28th European Conference on Information Systems (ECIS
2020), Marrakesh, Morocco, 2020.
mla: Wagner, Gerit, et al. “Designing a Novel Strategy for Exploring Literature
Corpora.” 28th European Conference on Information Systems (ECIS 2020),
2020.
short: 'G. Wagner, P. Empl, G. Schryen, in: 28th European Conference on Information
Systems (ECIS 2020), 2020.'
conference:
location: Marrakesh, Morocco
name: Twenty-Eigth European Conference on Information Systems (ECIS2020)
date_created: 2020-05-24T15:23:32Z
date_updated: 2022-01-06T06:53:03Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-05-24T17:17:32Z
date_updated: 2021-08-13T14:04:55Z
file_id: '17056'
file_name: 2020-03-27-ECIS2020 Designing a novel strategy for exploring literature
corpora.pdf
file_size: 590754
relation: main_file
file_date_updated: 2021-08-13T14:04:55Z
has_accepted_license: '1'
keyword:
- Reading and skimming
- Exploring literature
- Review methodology
- Design science research
- Schemata theory
language:
- iso: eng
oa: '1'
publication: 28th European Conference on Information Systems (ECIS 2020)
status: public
title: Designing a Novel Strategy for Exploring Literature Corpora
type: conference
user_id: '61579'
year: '2020'
...
---
_id: '15414'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Schryen G. Integrating Management Science into the HPC Research Ecosystem.
Communications of the ACM. 2020;63(9):35-37.
apa: Schryen, G. (2020). Integrating Management Science into the HPC Research Ecosystem.
Communications of the ACM, 63(9), 35–37.
bibtex: '@article{Schryen_2020, title={Integrating Management Science into the HPC
Research Ecosystem}, volume={63}, number={9}, journal={Communications of the ACM},
author={Schryen, Guido}, year={2020}, pages={35–37} }'
chicago: 'Schryen, Guido. “Integrating Management Science into the HPC Research
Ecosystem.” Communications of the ACM 63, no. 9 (2020): 35–37.'
ieee: G. Schryen, “Integrating Management Science into the HPC Research Ecosystem,”
Communications of the ACM, vol. 63, no. 9, pp. 35–37, 2020.
mla: Schryen, Guido. “Integrating Management Science into the HPC Research Ecosystem.”
Communications of the ACM, vol. 63, no. 9, 2020, pp. 35–37.
short: G. Schryen, Communications of the ACM 63 (2020) 35–37.
date_created: 2019-12-28T14:27:44Z
date_updated: 2022-01-06T06:52:25Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-12-28T14:30:03Z
date_updated: 2020-03-05T10:36:48Z
file_id: '15415'
file_name: Bringing HPC to management science - Web version.pdf
file_size: 186658
relation: main_file
file_date_updated: 2020-03-05T10:36:48Z
has_accepted_license: '1'
intvolume: ' 63'
issue: '9'
language:
- iso: eng
oa: '1'
page: 35 - 37
publication: Communications of the ACM
status: public
title: Integrating Management Science into the HPC Research Ecosystem
type: journal_article
user_id: '61579'
volume: 63
year: '2020'
...
---
_id: '15513'
abstract:
- lang: eng
text: This interview is part of the special issue (01/2020) on “High Performance
Business Computing” to be published in the journal Business & Information Systems
Engineering. The interviewee Utz-Uwe Haus is Senior Research Engineer @ CRAY European
Research Lab (CERL)). A bio of him is included at the end of the interview.
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Natalia
full_name: Kliewer, Natalia
last_name: Kliewer
- first_name: Andreas
full_name: Fink, Andreas
last_name: Fink
citation:
ama: 'Schryen G, Kliewer N, Fink A. Interview with Utz-Uwe Haus on “High Performance
Computing in Economic Environments: Opportunities and Challenges". Business
& Information Systems Engineering. 2020;62(01/2020):21-23.'
apa: 'Schryen, G., Kliewer, N., & Fink, A. (2020). Interview with Utz-Uwe Haus
on “High Performance Computing in Economic Environments: Opportunities and Challenges".
Business & Information Systems Engineering, 62(01/2020), 21–23.'
bibtex: '@article{Schryen_Kliewer_Fink_2020, title={Interview with Utz-Uwe Haus
on “High Performance Computing in Economic Environments: Opportunities and Challenges"},
volume={62}, number={01/2020}, journal={Business & Information Systems Engineering},
author={Schryen, Guido and Kliewer, Natalia and Fink, Andreas}, year={2020}, pages={21–23}
}'
chicago: 'Schryen, Guido, Natalia Kliewer, and Andreas Fink. “Interview with Utz-Uwe
Haus on “High Performance Computing in Economic Environments: Opportunities and
Challenges".” Business & Information Systems Engineering 62, no. 01/2020
(2020): 21–23.'
ieee: 'G. Schryen, N. Kliewer, and A. Fink, “Interview with Utz-Uwe Haus on “High
Performance Computing in Economic Environments: Opportunities and Challenges",”
Business & Information Systems Engineering, vol. 62, no. 01/2020, pp.
21–23, 2020.'
mla: 'Schryen, Guido, et al. “Interview with Utz-Uwe Haus on “High Performance Computing
in Economic Environments: Opportunities and Challenges".” Business & Information
Systems Engineering, vol. 62, no. 01/2020, 2020, pp. 21–23.'
short: G. Schryen, N. Kliewer, A. Fink, Business & Information Systems Engineering
62 (2020) 21–23.
date_created: 2020-01-13T13:23:51Z
date_updated: 2022-01-06T06:52:28Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: closed
content_type: application/pdf
creator: hsiemes
date_created: 2020-01-13T13:22:27Z
date_updated: 2021-08-12T11:41:55Z
file_id: '15516'
file_name: Interview Utz-Uwe Haus (Cray) - BISE SI HPBC - Prepublication version.pdf
file_size: 82469
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2021-08-12T11:41:21Z
date_updated: 2021-08-12T11:41:21Z
file_id: '23386'
file_name: Schryen2020_Article_InterviewWithUtz-UweHausOnHigh.pdf
file_size: 226595
relation: main_file
file_date_updated: 2021-08-12T11:41:55Z
has_accepted_license: '1'
intvolume: ' 62'
issue: 01/2020
language:
- iso: eng
oa: '1'
page: 21 - 23
publication: Business & Information Systems Engineering
status: public
title: 'Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments:
Opportunities and Challenges"'
type: journal_article
user_id: '61579'
volume: 62
year: '2020'
...
---
_id: '15022'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Schryen G. Parallel computational optimization in operations research: A new
integrative framework, literature review and research directions. European
Journal of Operational Research. 2020;287(1):1-18.'
apa: 'Schryen, G. (2020). Parallel computational optimization in operations research:
A new integrative framework, literature review and research directions. European
Journal of Operational Research, 287(1), 1–18.'
bibtex: '@article{Schryen_2020, title={Parallel computational optimization in operations
research: A new integrative framework, literature review and research directions},
volume={287}, number={1}, journal={European Journal of Operational Research},
publisher={Elsevier}, author={Schryen, Guido}, year={2020}, pages={1–18} }'
chicago: 'Schryen, Guido. “Parallel Computational Optimization in Operations Research:
A New Integrative Framework, Literature Review and Research Directions.” European
Journal of Operational Research 287, no. 1 (2020): 1–18.'
ieee: 'G. Schryen, “Parallel computational optimization in operations research:
A new integrative framework, literature review and research directions,” European
Journal of Operational Research, vol. 287, no. 1, pp. 1–18, 2020.'
mla: 'Schryen, Guido. “Parallel Computational Optimization in Operations Research:
A New Integrative Framework, Literature Review and Research Directions.” European
Journal of Operational Research, vol. 287, no. 1, Elsevier, 2020, pp. 1–18.'
short: G. Schryen, European Journal of Operational Research 287 (2020) 1–18.
date_created: 2019-11-18T11:11:00Z
date_updated: 2022-01-06T06:52:15Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-11-18T11:11:56Z
date_updated: 2020-03-05T10:37:02Z
file_id: '15023'
file_name: LR - OR and parallelization.pdf
file_size: 832170
relation: main_file
file_date_updated: 2020-03-05T10:37:02Z
has_accepted_license: '1'
intvolume: ' 287'
issue: '1'
language:
- iso: eng
oa: '1'
page: 1 - 18
publication: European Journal of Operational Research
publisher: Elsevier
status: public
title: 'Parallel computational optimization in operations research: A new integrative
framework, literature review and research directions'
type: journal_article
user_id: '61579'
volume: 287
year: '2020'
...
---
_id: '16249'
abstract:
- lang: eng
text: Timing plays a crucial role in the context of information security investments.
We regard timing in two dimensions, namely the time of announcement in relation
to the time of investment and the time of announcement in relation to the time
of a fundamental security incident. The financial value of information security
investments is assessed by examining the relationship between the investment announcements
and their stock market reaction focusing on the two time dimensions. Using an
event study methodology, we found that both dimensions influence the stock market
return of the investing organization. Our results indicate that (1) after fundamental
security incidents in a given industry, the stock price will react more positively
to a firm’s announcement of actual information security investments than to announcements
of the intention to invest; (2) the stock price will react more positively to
a firm’s announcements of the intention to invest after the fundamental security
incident compared to before; and (3) the stock price will react more positively
to a firm’s announcements of actual information security investments after the
fundamental security incident compared to before. Overall, the lowest abnormal
return can be expected when the intention to invest is announced before a fundamental
information security incident and the highest return when actual investing after
a fundamental information security incident in the respective industry.
author:
- first_name: Eva
full_name: Szubartowicz, Eva
last_name: Szubartowicz
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Szubartowicz E, Schryen G. Timing in Information Security: An Event Study
on the Impact of Information Security Investment Announcements. Journal of
Information System Security. 2020;16(1):3-31.'
apa: 'Szubartowicz, E., & Schryen, G. (2020). Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements.
Journal of Information System Security, 16(1), 3–31.'
bibtex: '@article{Szubartowicz_Schryen_2020, title={Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements},
volume={16}, number={1}, journal={Journal of Information System Security}, publisher={Information
Institute Publishing, Washington DC, USA}, author={Szubartowicz, Eva and Schryen,
Guido}, year={2020}, pages={3–31} }'
chicago: 'Szubartowicz, Eva, and Guido Schryen. “Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements.”
Journal of Information System Security 16, no. 1 (2020): 3–31.'
ieee: 'E. Szubartowicz and G. Schryen, “Timing in Information Security: An Event
Study on the Impact of Information Security Investment Announcements,” Journal
of Information System Security, vol. 16, no. 1, pp. 3–31, 2020.'
mla: 'Szubartowicz, Eva, and Guido Schryen. “Timing in Information Security: An
Event Study on the Impact of Information Security Investment Announcements.” Journal
of Information System Security, vol. 16, no. 1, Information Institute Publishing,
Washington DC, USA, 2020, pp. 3–31.'
short: E. Szubartowicz, G. Schryen, Journal of Information System Security 16 (2020)
3–31.
date_created: 2020-03-05T10:29:00Z
date_updated: 2022-01-06T06:52:47Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-03-05T10:26:11Z
date_updated: 2020-03-05T10:35:49Z
file_id: '16250'
file_name: Timing in Information Security - JISSEC format PREPUBLICATION.pdf
file_size: 478056
relation: main_file
file_date_updated: 2020-03-05T10:35:49Z
has_accepted_license: '1'
intvolume: ' 16'
issue: '1'
keyword:
- Event Study
- Information Security
- Investment Announcements
- Stock Price Reaction
- Value of Information Security Investments
language:
- iso: eng
oa: '1'
page: 3 - 31
publication: Journal of Information System Security
publisher: Information Institute Publishing, Washington DC, USA
status: public
title: 'Timing in Information Security: An Event Study on the Impact of Information
Security Investment Announcements'
type: journal_article
user_id: '61579'
volume: 16
year: '2020'
...
---
_id: '11946'
abstract:
- lang: eng
text: "Literature reviews (LRs) play an important role in the development of domain
knowledge in all fields. Yet, we observe a\r\nlack of insights into the activities
with which LRs actually develop knowledge. To address this important gap, we (1)\r\nderive
knowledge building activities from the extant literature on LRs, (2) suggest a
knowledge-based typology of LRs\r\nthat complements existing typologies, and (3)
apply the suggested typology in an empirical study that explores how LRs\r\nwith
different goals and methodologies have contributed to knowledge development. The
analysis of 240 LRs published\r\nin 40 renowned IS journals between 2000 and 2014
allows us to draw a detailed picture of knowledge development\r\nachieved by one
of the most important genres in the IS field. An overarching contribution of our
work is to unify extant\r\nconceptualizations of LRs by clarifying and illustrating
how LRs apply different methodologies in a range of knowledge\r\nbuilding activities
to achieve their goals with respect to theory."
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
- first_name: Guy
full_name: Paré, Guy
last_name: Paré
citation:
ama: 'Schryen G, Wagner G, Benlian A, Paré G. A Knowledge Development Perspective
on Literature Reviews: Validation of a New Typology in the IS Field. Communications
of the AIS. 2020;46:134-186. doi:10.17705/1CAIS.04607'
apa: 'Schryen, G., Wagner, G., Benlian, A., & Paré, G. (2020). A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field.
Communications of the AIS, 46, 134–186. https://doi.org/10.17705/1CAIS.04607'
bibtex: '@article{Schryen_Wagner_Benlian_Paré_2020, title={A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field},
volume={46}, DOI={10.17705/1CAIS.04607},
journal={Communications of the AIS}, author={Schryen, Guido and Wagner, Gerit
and Benlian, Alexander and Paré, Guy}, year={2020}, pages={134–186} }'
chicago: 'Schryen, Guido, Gerit Wagner, Alexander Benlian, and Guy Paré. “A Knowledge
Development Perspective on Literature Reviews: Validation of a New Typology in
the IS Field.” Communications of the AIS 46 (2020): 134–86. https://doi.org/10.17705/1CAIS.04607.'
ieee: 'G. Schryen, G. Wagner, A. Benlian, and G. Paré, “A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field,”
Communications of the AIS, vol. 46, pp. 134–186, 2020, doi: 10.17705/1CAIS.04607.'
mla: 'Schryen, Guido, et al. “A Knowledge Development Perspective on Literature
Reviews: Validation of a New Typology in the IS Field.” Communications of the
AIS, vol. 46, 2020, pp. 134–86, doi:10.17705/1CAIS.04607.'
short: G. Schryen, G. Wagner, A. Benlian, G. Paré, Communications of the AIS 46
(2020) 134–186.
date_created: 2019-07-12T12:01:02Z
date_updated: 2022-06-10T06:38:58Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.17705/1CAIS.04607
file:
- access_level: open_access
content_type: application/pdf
creator: schryen
date_created: 2020-02-26T18:12:29Z
date_updated: 2020-03-05T10:36:15Z
file_id: '16115'
file_name: RA-18-198.pdf
file_size: 1146830
relation: main_file
file_date_updated: 2020-03-05T10:36:15Z
has_accepted_license: '1'
intvolume: ' 46'
keyword:
- Literature review
- knowledge development
- knowledge building activities
- knowledge-based typology
- information systems research
language:
- iso: eng
oa: '1'
page: 134-186
publication: Communications of the AIS
publication_identifier:
issn:
- ' 1529-3181'
status: public
title: 'A Knowledge Development Perspective on Literature Reviews: Validation of a
New Typology in the IS Field'
type: journal_article
user_id: '72850'
volume: 46
year: '2020'
...
---
_id: '14985'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Natalia
full_name: Kliewer, Natalia
last_name: Kliewer
- first_name: Andreas
full_name: Fink, Andreas
last_name: Fink
citation:
ama: Schryen G, Kliewer N, Fink A. High Performance Business Computing. Business
& Information Systems Engineering. 2020;62(1):1-3. doi:10.1007/s12599-019-00622-2
apa: Schryen, G., Kliewer, N., & Fink, A. (2020). High Performance Business
Computing. Business & Information Systems Engineering, 62(1),
1–3. https://doi.org/10.1007/s12599-019-00622-2
bibtex: '@article{Schryen_Kliewer_Fink_2020, title={High Performance Business Computing},
volume={62}, DOI={10.1007/s12599-019-00622-2},
number={1}, journal={Business & Information Systems Engineering}, author={Schryen,
Guido and Kliewer, Natalia and Fink, Andreas}, year={2020}, pages={1–3} }'
chicago: 'Schryen, Guido, Natalia Kliewer, and Andreas Fink. “High Performance Business
Computing.” Business & Information Systems Engineering 62, no. 1 (2020):
1–3. https://doi.org/10.1007/s12599-019-00622-2.'
ieee: 'G. Schryen, N. Kliewer, and A. Fink, “High Performance Business Computing,”
Business & Information Systems Engineering, vol. 62, no. 1, pp. 1–3,
2020, doi: 10.1007/s12599-019-00622-2.'
mla: Schryen, Guido, et al. “High Performance Business Computing.” Business &
Information Systems Engineering, vol. 62, no. 1, 2020, pp. 1–3, doi:10.1007/s12599-019-00622-2.
short: G. Schryen, N. Kliewer, A. Fink, Business & Information Systems Engineering
62 (2020) 1–3.
date_created: 2019-11-14T10:49:39Z
date_updated: 2022-06-10T06:15:40Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.1007/s12599-019-00622-2
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-11-14T10:52:41Z
date_updated: 2020-03-05T10:37:36Z
file_id: '14986'
file_name: Schryen2019_Article_HighPerformanceBusinessComputi.pdf
file_size: 161538
relation: main_file
file_date_updated: 2020-03-05T10:37:36Z
has_accepted_license: '1'
intvolume: ' 62'
issue: '1'
language:
- iso: eng
oa: '1'
page: 1-3
publication: Business & Information Systems Engineering
status: public
title: High Performance Business Computing
type: journal_article
user_id: '72850'
volume: 62
year: '2020'
...
---
_id: '13175'
abstract:
- lang: eng
text: "Today, organizations must deal with a plethora of IT security threats and
to ensure smooth and\r\nuninterrupted business operations, firms are challenged
to predict the volume of IT security vulnerabilities\r\nand allocate resources
for fixing them. This challenge requires decision makers to assess\r\nwhich system
or software packages are prone to vulnerabilities, how many post-release vulnerabilities\r\ncan
be expected to occur during a certain period of time, and what impact exploits
might have.\r\nSubstantial research has been dedicated to techniques that analyze
source code and detect security\r\nvulnerabilities. However, only limited research
has focused on forecasting security vulnerabilities\r\nthat are detected and reported
after the release of software. To address this shortcoming, we apply\r\nestablished
methodologies which are capable of forecasting events exhibiting specific time
series\r\ncharacteristics of security vulnerabilities, i.e., rareness of occurrence,
volatility, non-stationarity,\r\nand seasonality. Based on a dataset taken from
the National Vulnerability Database (NVD), we use\r\nthe Mean Absolute Error (MAE)
and Root Mean Square Error (RMSE) to measure the forecasting\r\naccuracy of single,
double, and triple exponential smoothing methodologies, Croston's methodology,\r\nARIMA,
and a neural network-based approach. We analyze the impact of the applied forecasting\r\nmethodology
on the prediction accuracy with regard to its robustness along the dimensions
of the\r\nexamined system and software package \"operating systems\", \"browsers\"
and \"office solutions\" and\r\nthe applied metrics. To the best of our knowledge,
this study is the first to analyze the effect\r\nof forecasting methodologies
and to apply metrics that are suitable in this context. Our results\r\nshow that
the optimal forecasting methodology depends on the software or system package,
as some\r\nmethodologies perform poorly in the context of IT security vulnerabilities,
that absolute metrics\r\ncan cover the actual prediction error precisely, and
that the prediction accuracy is robust within the\r\ntwo applied forecasting-error
metrics."
article_type: original
author:
- first_name: Emrah
full_name: Yasasin, Emrah
last_name: Yasasin
- first_name: Julian
full_name: Prester, Julian
last_name: Prester
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Yasasin E, Prester J, Wagner G, Schryen G. Forecasting IT Security Vulnerabilities
- An Empirical Analysis. Computers & Security. 2020;88(January).
apa: Yasasin, E., Prester, J., Wagner, G., & Schryen, G. (2020). Forecasting
IT Security Vulnerabilities - An Empirical Analysis. Computers & Security,
88(January).
bibtex: '@article{Yasasin_Prester_Wagner_Schryen_2020, title={Forecasting IT Security
Vulnerabilities - An Empirical Analysis}, volume={88}, number={January}, journal={Computers
& Security}, author={Yasasin, Emrah and Prester, Julian and Wagner, Gerit
and Schryen, Guido}, year={2020} }'
chicago: Yasasin, Emrah, Julian Prester, Gerit Wagner, and Guido Schryen. “Forecasting
IT Security Vulnerabilities - An Empirical Analysis.” Computers & Security
88, no. January (2020).
ieee: E. Yasasin, J. Prester, G. Wagner, and G. Schryen, “Forecasting IT Security
Vulnerabilities - An Empirical Analysis,” Computers & Security, vol.
88, no. January, 2020.
mla: Yasasin, Emrah, et al. “Forecasting IT Security Vulnerabilities - An Empirical
Analysis.” Computers & Security, vol. 88, no. January, 2020.
short: E. Yasasin, J. Prester, G. Wagner, G. Schryen, Computers & Security 88
(2020).
date_created: 2019-09-09T18:24:45Z
date_updated: 2022-10-19T15:27:51Z
ddc:
- '000'
department:
- _id: '195'
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: schryen
date_created: 2019-09-09T18:24:35Z
date_updated: 2019-09-09T18:24:35Z
file_id: '13176'
file_name: Forecasting_IT_Security_Vulnerabilities.pdf
file_size: 894663
relation: main_file
file_date_updated: 2019-09-09T18:24:35Z
has_accepted_license: '1'
intvolume: ' 88'
issue: January
language:
- iso: eng
oa: '1'
publication: Computers & Security
publication_identifier:
issn:
- 0167-4048
publication_status: published
status: public
title: Forecasting IT Security Vulnerabilities - An Empirical Analysis
type: journal_article
user_id: '72850'
volume: 88
year: '2020'
...
---
_id: '53903'
author:
- first_name: Vahid
full_name: Hajipour, Vahid
last_name: Hajipour
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Francisco J
full_name: Santos-Arteaga, Francisco J
last_name: Santos-Arteaga
- first_name: Alireza
full_name: Alinezhad, Alireza
last_name: Alinezhad
- first_name: Debora
full_name: Di Caprio, Debora
last_name: Di Caprio
citation:
ama: Hajipour V, Tavana M, Santos-Arteaga FJ, Alinezhad A, Di Caprio D. An efficient
controlled elitism non-dominated sorting genetic algorithm for multi-objective
supplier selection under fuzziness. Journal of Computational Design and Engineering.
2020;7(4):469-488. doi:10.1093/jcde/qwaa039
apa: Hajipour, V., Tavana, M., Santos-Arteaga, F. J., Alinezhad, A., & Di Caprio,
D. (2020). An efficient controlled elitism non-dominated sorting genetic algorithm
for multi-objective supplier selection under fuzziness. Journal of Computational
Design and Engineering, 7(4), 469–488. https://doi.org/10.1093/jcde/qwaa039
bibtex: '@article{Hajipour_Tavana_Santos-Arteaga_Alinezhad_Di Caprio_2020, title={An
efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective
supplier selection under fuzziness}, volume={7}, DOI={10.1093/jcde/qwaa039},
number={4}, journal={Journal of Computational Design and Engineering}, publisher={Oxford
University Press (OUP)}, author={Hajipour, Vahid and Tavana, Madjid and Santos-Arteaga,
Francisco J and Alinezhad, Alireza and Di Caprio, Debora}, year={2020}, pages={469–488}
}'
chicago: 'Hajipour, Vahid, Madjid Tavana, Francisco J Santos-Arteaga, Alireza Alinezhad,
and Debora Di Caprio. “An Efficient Controlled Elitism Non-Dominated Sorting Genetic
Algorithm for Multi-Objective Supplier Selection under Fuzziness.” Journal
of Computational Design and Engineering 7, no. 4 (2020): 469–88. https://doi.org/10.1093/jcde/qwaa039.'
ieee: 'V. Hajipour, M. Tavana, F. J. Santos-Arteaga, A. Alinezhad, and D. Di Caprio,
“An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective
supplier selection under fuzziness,” Journal of Computational Design and Engineering,
vol. 7, no. 4, pp. 469–488, 2020, doi: 10.1093/jcde/qwaa039.'
mla: Hajipour, Vahid, et al. “An Efficient Controlled Elitism Non-Dominated Sorting
Genetic Algorithm for Multi-Objective Supplier Selection under Fuzziness.” Journal
of Computational Design and Engineering, vol. 7, no. 4, Oxford University
Press (OUP), 2020, pp. 469–88, doi:10.1093/jcde/qwaa039.
short: V. Hajipour, M. Tavana, F.J. Santos-Arteaga, A. Alinezhad, D. Di Caprio,
Journal of Computational Design and Engineering 7 (2020) 469–488.
date_created: 2024-05-04T15:53:53Z
date_updated: 2024-05-04T15:56:59Z
department:
- _id: '277'
doi: 10.1093/jcde/qwaa039
intvolume: ' 7'
issue: '4'
language:
- iso: eng
page: 469-488
publication: Journal of Computational Design and Engineering
publication_identifier:
issn:
- 2288-5048
publication_status: published
publisher: Oxford University Press (OUP)
status: public
title: An efficient controlled elitism non-dominated sorting genetic algorithm for
multi-objective supplier selection under fuzziness
type: journal_article
user_id: '51811'
volume: 7
year: '2020'
...
---
_id: '53902'
author:
- first_name: Azmin Azliza
full_name: Aziz, Azmin Azliza
last_name: Aziz
- first_name: Seyed Mohsen
full_name: Mousavi, Seyed Mohsen
last_name: Mousavi
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Seyed Taghi Akhavan
full_name: Niaki, Seyed Taghi Akhavan
last_name: Niaki
citation:
ama: 'Aziz AA, Mousavi SM, Tavana M, Niaki STA. An investigation of the robustness
in the Travelling Salesman problem routes using special structured matrices. International
Journal of Systems Science: Operations & Logistics. 2020;7(2):172-181.
doi:10.1080/23302674.2018.1551584'
apa: 'Aziz, A. A., Mousavi, S. M., Tavana, M., & Niaki, S. T. A. (2020). An
investigation of the robustness in the Travelling Salesman problem routes using
special structured matrices. International Journal of Systems Science: Operations
& Logistics, 7(2), 172–181. https://doi.org/10.1080/23302674.2018.1551584'
bibtex: '@article{Aziz_Mousavi_Tavana_Niaki_2020, title={An investigation of the
robustness in the Travelling Salesman problem routes using special structured
matrices}, volume={7}, DOI={10.1080/23302674.2018.1551584},
number={2}, journal={International Journal of Systems Science: Operations &
Logistics}, publisher={Informa UK Limited}, author={Aziz, Azmin Azliza and Mousavi,
Seyed Mohsen and Tavana, Madjid and Niaki, Seyed Taghi Akhavan}, year={2020},
pages={172–181} }'
chicago: 'Aziz, Azmin Azliza, Seyed Mohsen Mousavi, Madjid Tavana, and Seyed Taghi
Akhavan Niaki. “An Investigation of the Robustness in the Travelling Salesman
Problem Routes Using Special Structured Matrices.” International Journal of
Systems Science: Operations & Logistics 7, no. 2 (2020): 172–81. https://doi.org/10.1080/23302674.2018.1551584.'
ieee: 'A. A. Aziz, S. M. Mousavi, M. Tavana, and S. T. A. Niaki, “An investigation
of the robustness in the Travelling Salesman problem routes using special structured
matrices,” International Journal of Systems Science: Operations & Logistics,
vol. 7, no. 2, pp. 172–181, 2020, doi: 10.1080/23302674.2018.1551584.'
mla: 'Aziz, Azmin Azliza, et al. “An Investigation of the Robustness in the Travelling
Salesman Problem Routes Using Special Structured Matrices.” International Journal
of Systems Science: Operations & Logistics, vol. 7, no. 2, Informa UK
Limited, 2020, pp. 172–81, doi:10.1080/23302674.2018.1551584.'
short: 'A.A. Aziz, S.M. Mousavi, M. Tavana, S.T.A. Niaki, International Journal
of Systems Science: Operations & Logistics 7 (2020) 172–181.'
date_created: 2024-05-04T15:52:34Z
date_updated: 2024-05-04T15:57:01Z
department:
- _id: '277'
doi: 10.1080/23302674.2018.1551584
intvolume: ' 7'
issue: '2'
language:
- iso: eng
page: 172-181
publication: 'International Journal of Systems Science: Operations & Logistics'
publication_identifier:
issn:
- 2330-2674
- 2330-2682
publication_status: published
publisher: Informa UK Limited
status: public
title: An investigation of the robustness in the Travelling Salesman problem routes
using special structured matrices
type: journal_article
user_id: '51811'
volume: 7
year: '2020'
...
---
_id: '53905'
author:
- first_name: Francisco Javier
full_name: Santos-Arteaga, Francisco Javier
last_name: Santos-Arteaga
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Celia
full_name: Torrecillas, Celia
last_name: Torrecillas
- first_name: Debora
full_name: Di Caprio, Debora
last_name: Di Caprio
citation:
ama: 'Santos-Arteaga FJ, Tavana M, Torrecillas C, Di Caprio D. INNOVATION DYNAMICS
AND FINANCIAL STABILITY: A EUROPEAN UNION PERSPECTIVE. Technological and Economic
Development of Economy. 2020;26(6):1366-1398. doi:10.3846/tede.2020.13521'
apa: 'Santos-Arteaga, F. J., Tavana, M., Torrecillas, C., & Di Caprio, D. (2020).
INNOVATION DYNAMICS AND FINANCIAL STABILITY: A EUROPEAN UNION PERSPECTIVE. Technological
and Economic Development of Economy, 26(6), 1366–1398. https://doi.org/10.3846/tede.2020.13521'
bibtex: '@article{Santos-Arteaga_Tavana_Torrecillas_Di Caprio_2020, title={INNOVATION
DYNAMICS AND FINANCIAL STABILITY: A EUROPEAN UNION PERSPECTIVE}, volume={26},
DOI={10.3846/tede.2020.13521},
number={6}, journal={Technological and Economic Development of Economy}, publisher={Vilnius
Gediminas Technical University}, author={Santos-Arteaga, Francisco Javier and
Tavana, Madjid and Torrecillas, Celia and Di Caprio, Debora}, year={2020}, pages={1366–1398}
}'
chicago: 'Santos-Arteaga, Francisco Javier, Madjid Tavana, Celia Torrecillas, and
Debora Di Caprio. “INNOVATION DYNAMICS AND FINANCIAL STABILITY: A EUROPEAN UNION
PERSPECTIVE.” Technological and Economic Development of Economy 26, no.
6 (2020): 1366–98. https://doi.org/10.3846/tede.2020.13521.'
ieee: 'F. J. Santos-Arteaga, M. Tavana, C. Torrecillas, and D. Di Caprio, “INNOVATION
DYNAMICS AND FINANCIAL STABILITY: A EUROPEAN UNION PERSPECTIVE,” Technological
and Economic Development of Economy, vol. 26, no. 6, pp. 1366–1398, 2020,
doi: 10.3846/tede.2020.13521.'
mla: 'Santos-Arteaga, Francisco Javier, et al. “INNOVATION DYNAMICS AND FINANCIAL
STABILITY: A EUROPEAN UNION PERSPECTIVE.” Technological and Economic Development
of Economy, vol. 26, no. 6, Vilnius Gediminas Technical University, 2020,
pp. 1366–98, doi:10.3846/tede.2020.13521.'
short: F.J. Santos-Arteaga, M. Tavana, C. Torrecillas, D. Di Caprio, Technological
and Economic Development of Economy 26 (2020) 1366–1398.
date_created: 2024-05-04T15:54:55Z
date_updated: 2024-05-04T15:56:54Z
department:
- _id: '277'
doi: 10.3846/tede.2020.13521
intvolume: ' 26'
issue: '6'
language:
- iso: eng
page: 1366-1398
publication: Technological and Economic Development of Economy
publication_identifier:
issn:
- 2029-4913
- 2029-4921
publication_status: published
publisher: Vilnius Gediminas Technical University
status: public
title: 'INNOVATION DYNAMICS AND FINANCIAL STABILITY: A EUROPEAN UNION PERSPECTIVE'
type: journal_article
user_id: '51811'
volume: 26
year: '2020'
...
---
_id: '53898'
author:
- first_name: Mohsen
full_name: Jafari Songhori, Mohsen
last_name: Jafari Songhori
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Takao
full_name: Terano, Takao
last_name: Terano
citation:
ama: 'Jafari Songhori M, Tavana M, Terano T. Product development team formation:
effects of organizational- and product-related factors. Computational and Mathematical
Organization Theory. 2020;26(1):88-122. doi:10.1007/s10588-019-09302-8'
apa: 'Jafari Songhori, M., Tavana, M., & Terano, T. (2020). Product development
team formation: effects of organizational- and product-related factors. Computational
and Mathematical Organization Theory, 26(1), 88–122. https://doi.org/10.1007/s10588-019-09302-8'
bibtex: '@article{Jafari Songhori_Tavana_Terano_2020, title={Product development
team formation: effects of organizational- and product-related factors}, volume={26},
DOI={10.1007/s10588-019-09302-8},
number={1}, journal={Computational and Mathematical Organization Theory}, publisher={Springer
Science and Business Media LLC}, author={Jafari Songhori, Mohsen and Tavana, Madjid
and Terano, Takao}, year={2020}, pages={88–122} }'
chicago: 'Jafari Songhori, Mohsen, Madjid Tavana, and Takao Terano. “Product Development
Team Formation: Effects of Organizational- and Product-Related Factors.” Computational
and Mathematical Organization Theory 26, no. 1 (2020): 88–122. https://doi.org/10.1007/s10588-019-09302-8.'
ieee: 'M. Jafari Songhori, M. Tavana, and T. Terano, “Product development team formation:
effects of organizational- and product-related factors,” Computational and
Mathematical Organization Theory, vol. 26, no. 1, pp. 88–122, 2020, doi: 10.1007/s10588-019-09302-8.'
mla: 'Jafari Songhori, Mohsen, et al. “Product Development Team Formation: Effects
of Organizational- and Product-Related Factors.” Computational and Mathematical
Organization Theory, vol. 26, no. 1, Springer Science and Business Media LLC,
2020, pp. 88–122, doi:10.1007/s10588-019-09302-8.'
short: M. Jafari Songhori, M. Tavana, T. Terano, Computational and Mathematical
Organization Theory 26 (2020) 88–122.
date_created: 2024-05-04T15:48:13Z
date_updated: 2024-05-04T15:57:10Z
department:
- _id: '277'
doi: 10.1007/s10588-019-09302-8
intvolume: ' 26'
issue: '1'
language:
- iso: eng
page: 88-122
publication: Computational and Mathematical Organization Theory
publication_identifier:
issn:
- 1381-298X
- 1572-9346
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Product development team formation: effects of organizational- and product-related
factors'
type: journal_article
user_id: '51811'
volume: 26
year: '2020'
...
---
_id: '53904'
author:
- first_name: Mohamad Amin
full_name: Kaviani, Mohamad Amin
last_name: Kaviani
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Fatemeh
full_name: Kowsari, Fatemeh
last_name: Kowsari
- first_name: Roghayeh
full_name: Rezapour, Roghayeh
last_name: Rezapour
citation:
ama: 'Kaviani MA, Tavana M, Kowsari F, Rezapour R. Supply chain resilience: a benchmarking
model for vulnerability and capability assessment in the automotive industry.
Benchmarking: An International Journal. 2020;27(6):1929-1949. doi:10.1108/bij-01-2020-0049'
apa: 'Kaviani, M. A., Tavana, M., Kowsari, F., & Rezapour, R. (2020). Supply
chain resilience: a benchmarking model for vulnerability and capability assessment
in the automotive industry. Benchmarking: An International Journal, 27(6),
1929–1949. https://doi.org/10.1108/bij-01-2020-0049'
bibtex: '@article{Kaviani_Tavana_Kowsari_Rezapour_2020, title={Supply chain resilience:
a benchmarking model for vulnerability and capability assessment in the automotive
industry}, volume={27}, DOI={10.1108/bij-01-2020-0049},
number={6}, journal={Benchmarking: An International Journal}, publisher={Emerald},
author={Kaviani, Mohamad Amin and Tavana, Madjid and Kowsari, Fatemeh and Rezapour,
Roghayeh}, year={2020}, pages={1929–1949} }'
chicago: 'Kaviani, Mohamad Amin, Madjid Tavana, Fatemeh Kowsari, and Roghayeh Rezapour.
“Supply Chain Resilience: A Benchmarking Model for Vulnerability and Capability
Assessment in the Automotive Industry.” Benchmarking: An International Journal
27, no. 6 (2020): 1929–49. https://doi.org/10.1108/bij-01-2020-0049.'
ieee: 'M. A. Kaviani, M. Tavana, F. Kowsari, and R. Rezapour, “Supply chain resilience:
a benchmarking model for vulnerability and capability assessment in the automotive
industry,” Benchmarking: An International Journal, vol. 27, no. 6, pp.
1929–1949, 2020, doi: 10.1108/bij-01-2020-0049.'
mla: 'Kaviani, Mohamad Amin, et al. “Supply Chain Resilience: A Benchmarking Model
for Vulnerability and Capability Assessment in the Automotive Industry.” Benchmarking:
An International Journal, vol. 27, no. 6, Emerald, 2020, pp. 1929–49, doi:10.1108/bij-01-2020-0049.'
short: 'M.A. Kaviani, M. Tavana, F. Kowsari, R. Rezapour, Benchmarking: An International
Journal 27 (2020) 1929–1949.'
date_created: 2024-05-04T15:54:26Z
date_updated: 2024-05-04T15:56:56Z
department:
- _id: '277'
doi: 10.1108/bij-01-2020-0049
intvolume: ' 27'
issue: '6'
language:
- iso: eng
page: 1929-1949
publication: 'Benchmarking: An International Journal'
publication_identifier:
issn:
- 1463-5771
publication_status: published
publisher: Emerald
status: public
title: 'Supply chain resilience: a benchmarking model for vulnerability and capability
assessment in the automotive industry'
type: journal_article
user_id: '51811'
volume: 27
year: '2020'
...
---
_id: '53906'
article_number: '3947'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Akram
full_name: Shaabani, Akram
last_name: Shaabani
- first_name: Francisco
full_name: Javier Santos-Arteaga, Francisco
last_name: Javier Santos-Arteaga
- first_name: Iman
full_name: Raeesi Vanani, Iman
last_name: Raeesi Vanani
citation:
ama: Tavana M, Shaabani A, Javier Santos-Arteaga F, Raeesi Vanani I. A Review of
Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data
Analytics. Energies. 2020;13(15). doi:10.3390/en13153947
apa: Tavana, M., Shaabani, A., Javier Santos-Arteaga, F., & Raeesi Vanani, I.
(2020). A Review of Uncertain Decision-Making Methods in Energy Management Using
Text Mining and Data Analytics. Energies, 13(15), Article 3947.
https://doi.org/10.3390/en13153947
bibtex: '@article{Tavana_Shaabani_Javier Santos-Arteaga_Raeesi Vanani_2020, title={A
Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining
and Data Analytics}, volume={13}, DOI={10.3390/en13153947},
number={153947}, journal={Energies}, publisher={MDPI AG}, author={Tavana, Madjid
and Shaabani, Akram and Javier Santos-Arteaga, Francisco and Raeesi Vanani, Iman},
year={2020} }'
chicago: Tavana, Madjid, Akram Shaabani, Francisco Javier Santos-Arteaga, and Iman
Raeesi Vanani. “A Review of Uncertain Decision-Making Methods in Energy Management
Using Text Mining and Data Analytics.” Energies 13, no. 15 (2020). https://doi.org/10.3390/en13153947.
ieee: 'M. Tavana, A. Shaabani, F. Javier Santos-Arteaga, and I. Raeesi Vanani, “A
Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining
and Data Analytics,” Energies, vol. 13, no. 15, Art. no. 3947, 2020, doi:
10.3390/en13153947.'
mla: Tavana, Madjid, et al. “A Review of Uncertain Decision-Making Methods in Energy
Management Using Text Mining and Data Analytics.” Energies, vol. 13, no.
15, 3947, MDPI AG, 2020, doi:10.3390/en13153947.
short: M. Tavana, A. Shaabani, F. Javier Santos-Arteaga, I. Raeesi Vanani, Energies
13 (2020).
date_created: 2024-05-04T15:55:32Z
date_updated: 2024-05-04T15:56:50Z
department:
- _id: '277'
doi: 10.3390/en13153947
intvolume: ' 13'
issue: '15'
language:
- iso: eng
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
publisher: MDPI AG
status: public
title: A Review of Uncertain Decision-Making Methods in Energy Management Using Text
Mining and Data Analytics
type: journal_article
user_id: '51811'
volume: 13
year: '2020'
...
---
_id: '53900'
article_number: '100262'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Vahid
full_name: Hajipour, Vahid
last_name: Hajipour
- first_name: Shahrzad
full_name: Oveisi, Shahrzad
last_name: Oveisi
citation:
ama: 'Tavana M, Hajipour V, Oveisi S. IoT-based enterprise resource planning: Challenges,
open issues, applications, architecture, and future research directions. Internet
of Things. 2020;11. doi:10.1016/j.iot.2020.100262'
apa: 'Tavana, M., Hajipour, V., & Oveisi, S. (2020). IoT-based enterprise resource
planning: Challenges, open issues, applications, architecture, and future research
directions. Internet of Things, 11, Article 100262. https://doi.org/10.1016/j.iot.2020.100262'
bibtex: '@article{Tavana_Hajipour_Oveisi_2020, title={IoT-based enterprise resource
planning: Challenges, open issues, applications, architecture, and future research
directions}, volume={11}, DOI={10.1016/j.iot.2020.100262},
number={100262}, journal={Internet of Things}, publisher={Elsevier BV}, author={Tavana,
Madjid and Hajipour, Vahid and Oveisi, Shahrzad}, year={2020} }'
chicago: 'Tavana, Madjid, Vahid Hajipour, and Shahrzad Oveisi. “IoT-Based Enterprise
Resource Planning: Challenges, Open Issues, Applications, Architecture, and Future
Research Directions.” Internet of Things 11 (2020). https://doi.org/10.1016/j.iot.2020.100262.'
ieee: 'M. Tavana, V. Hajipour, and S. Oveisi, “IoT-based enterprise resource planning:
Challenges, open issues, applications, architecture, and future research directions,”
Internet of Things, vol. 11, Art. no. 100262, 2020, doi: 10.1016/j.iot.2020.100262.'
mla: 'Tavana, Madjid, et al. “IoT-Based Enterprise Resource Planning: Challenges,
Open Issues, Applications, Architecture, and Future Research Directions.” Internet
of Things, vol. 11, 100262, Elsevier BV, 2020, doi:10.1016/j.iot.2020.100262.'
short: M. Tavana, V. Hajipour, S. Oveisi, Internet of Things 11 (2020).
date_created: 2024-05-04T15:50:01Z
date_updated: 2024-05-04T15:57:06Z
department:
- _id: '277'
doi: 10.1016/j.iot.2020.100262
intvolume: ' 11'
language:
- iso: eng
publication: Internet of Things
publication_identifier:
issn:
- 2542-6605
publication_status: published
publisher: Elsevier BV
status: public
title: 'IoT-based enterprise resource planning: Challenges, open issues, applications,
architecture, and future research directions'
type: journal_article
user_id: '51811'
volume: 11
year: '2020'
...
---
_id: '53899'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Hannan
full_name: Amoozad Mahdiraji, Hannan
last_name: Amoozad Mahdiraji
- first_name: Moein
full_name: Beheshti, Moein
last_name: Beheshti
- first_name: Ali‐Asghar
full_name: Abbasi Kamardi, Ali‐Asghar
last_name: Abbasi Kamardi
citation:
ama: Tavana M, Amoozad Mahdiraji H, Beheshti M, Abbasi Kamardi A. Optimal strategic
alliance in multi‐echelon supply chains with open innovation. Managerial and
Decision Economics. 2020;41(7):1365-1384. doi:10.1002/mde.3181
apa: Tavana, M., Amoozad Mahdiraji, H., Beheshti, M., & Abbasi Kamardi, A. (2020).
Optimal strategic alliance in multi‐echelon supply chains with open innovation.
Managerial and Decision Economics, 41(7), 1365–1384. https://doi.org/10.1002/mde.3181
bibtex: '@article{Tavana_Amoozad Mahdiraji_Beheshti_Abbasi Kamardi_2020, title={Optimal
strategic alliance in multi‐echelon supply chains with open innovation}, volume={41},
DOI={10.1002/mde.3181}, number={7},
journal={Managerial and Decision Economics}, publisher={Wiley}, author={Tavana,
Madjid and Amoozad Mahdiraji, Hannan and Beheshti, Moein and Abbasi Kamardi, Ali‐Asghar},
year={2020}, pages={1365–1384} }'
chicago: 'Tavana, Madjid, Hannan Amoozad Mahdiraji, Moein Beheshti, and Ali‐Asghar
Abbasi Kamardi. “Optimal Strategic Alliance in Multi‐echelon Supply Chains with
Open Innovation.” Managerial and Decision Economics 41, no. 7 (2020): 1365–84.
https://doi.org/10.1002/mde.3181.'
ieee: 'M. Tavana, H. Amoozad Mahdiraji, M. Beheshti, and A. Abbasi Kamardi, “Optimal
strategic alliance in multi‐echelon supply chains with open innovation,” Managerial
and Decision Economics, vol. 41, no. 7, pp. 1365–1384, 2020, doi: 10.1002/mde.3181.'
mla: Tavana, Madjid, et al. “Optimal Strategic Alliance in Multi‐echelon Supply
Chains with Open Innovation.” Managerial and Decision Economics, vol. 41,
no. 7, Wiley, 2020, pp. 1365–84, doi:10.1002/mde.3181.
short: M. Tavana, H. Amoozad Mahdiraji, M. Beheshti, A. Abbasi Kamardi, Managerial
and Decision Economics 41 (2020) 1365–1384.
date_created: 2024-05-04T15:49:29Z
date_updated: 2024-05-04T15:57:08Z
department:
- _id: '277'
doi: 10.1002/mde.3181
intvolume: ' 41'
issue: '7'
language:
- iso: eng
page: 1365-1384
publication: Managerial and Decision Economics
publication_identifier:
issn:
- 0143-6570
- 1099-1468
publication_status: published
publisher: Wiley
status: public
title: Optimal strategic alliance in multi‐echelon supply chains with open innovation
type: journal_article
user_id: '51811'
volume: 41
year: '2020'
...
---
_id: '53901'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Vahid
full_name: Hajipour, Vahid
last_name: Hajipour
citation:
ama: 'Tavana M, Hajipour V. A practical review and taxonomy of fuzzy expert systems:
methods and applications. Benchmarking: An International Journal. 2020;27(1):81-136.
doi:10.1108/bij-04-2019-0178'
apa: 'Tavana, M., & Hajipour, V. (2020). A practical review and taxonomy of
fuzzy expert systems: methods and applications. Benchmarking: An International
Journal, 27(1), 81–136. https://doi.org/10.1108/bij-04-2019-0178'
bibtex: '@article{Tavana_Hajipour_2020, title={A practical review and taxonomy of
fuzzy expert systems: methods and applications}, volume={27}, DOI={10.1108/bij-04-2019-0178},
number={1}, journal={Benchmarking: An International Journal}, publisher={Emerald},
author={Tavana, Madjid and Hajipour, Vahid}, year={2020}, pages={81–136} }'
chicago: 'Tavana, Madjid, and Vahid Hajipour. “A Practical Review and Taxonomy of
Fuzzy Expert Systems: Methods and Applications.” Benchmarking: An International
Journal 27, no. 1 (2020): 81–136. https://doi.org/10.1108/bij-04-2019-0178.'
ieee: 'M. Tavana and V. Hajipour, “A practical review and taxonomy of fuzzy expert
systems: methods and applications,” Benchmarking: An International Journal,
vol. 27, no. 1, pp. 81–136, 2020, doi: 10.1108/bij-04-2019-0178.'
mla: 'Tavana, Madjid, and Vahid Hajipour. “A Practical Review and Taxonomy of Fuzzy
Expert Systems: Methods and Applications.” Benchmarking: An International Journal,
vol. 27, no. 1, Emerald, 2020, pp. 81–136, doi:10.1108/bij-04-2019-0178.'
short: 'M. Tavana, V. Hajipour, Benchmarking: An International Journal 27 (2020)
81–136.'
date_created: 2024-05-04T15:51:45Z
date_updated: 2024-05-04T15:57:03Z
department:
- _id: '277'
doi: 10.1108/bij-04-2019-0178
intvolume: ' 27'
issue: '1'
language:
- iso: eng
page: 81-136
publication: 'Benchmarking: An International Journal'
publication_identifier:
issn:
- 1463-5771
publication_status: published
publisher: Emerald
status: public
title: 'A practical review and taxonomy of fuzzy expert systems: methods and applications'
type: journal_article
user_id: '51811'
volume: 27
year: '2020'
...