---
_id: '13786'
abstract:
- lang: eng
text: Due to the superior job performing abilities and increasing computational
capabilities, collaborating with artificial-intelligence-based services (AIBS
or AI-based services) will be inevitable for employees in the service context.
AI-based services in the form of virtual (e.g., chatbot) or physical (e.g., service
robot) embodiments, which are characterized by a higher degree of autonomy and
are intended to augment the tasks of human employees in a highly collaborative
way, will increasingly become an integral part of employee’s work environment.
Semi-structured interviews and a focus group discussion have been used to identify
constructs driving employees’ perception of AI-based services and their impact
on wellbeing. Combined with a thorough literature analysis, relations between
the identified constructs have been derived from introducing a conceptual model
of employees’ willingness to collaborate (WTC). This study identifies technology
characteristics, job demands, resources, and control as constructs, directly influencing
employees’ perceived risk of AI-based services.
author:
- first_name: Stefanie
full_name: Paluch, Stefanie
last_name: Paluch
- first_name: Thomas
full_name: Wittkop, Thomas
id: '61636'
last_name: Wittkop
citation:
ama: 'Paluch S, Wittkop T. Role of Risk on Employees’ Willingness to Collaborate
with Artificial Intelligence and its Impact on Wellbeing. In: Sheth JN, Jain V,
Mogaji E, Ambika A, eds. Artificial Intelligence in Customer Service : The
Next Frontier for Personalized Engagement . Springer International Publishing
AG; 2023:281-302. doi:10.1007/978-3-031-33898-4_12'
apa: 'Paluch, S., & Wittkop, T. (2023). Role of Risk on Employees’ Willingness
to Collaborate with Artificial Intelligence and its Impact on Wellbeing. In J.
N. Sheth, V. Jain, E. Mogaji, & A. Ambika (Eds.), Artificial Intelligence
in Customer Service : The Next Frontier for Personalized Engagement (pp.
281–302). Springer International Publishing AG. https://doi.org/10.1007/978-3-031-33898-4_12'
bjps: 'Paluch S and Wittkop T (2023) Role of Risk on Employees’ Willingness
to Collaborate with Artificial Intelligence and Its Impact on Wellbeing. In Sheth
JN et al. (eds), Artificial Intelligence in Customer Service : The Next Frontier
for Personalized Engagement . Cham: Springer International Publishing AG,
pp. 281–302.'
chicago: 'Paluch, Stefanie, and Thomas Wittkop. “Role of Risk on Employees’ Willingness
to Collaborate with Artificial Intelligence and Its Impact on Wellbeing.” In Artificial
Intelligence in Customer Service : The Next Frontier for Personalized Engagement
, edited by Jagdish N. Sheth, Varsha Jain, Emmanuel Mogaji, and Anupama Ambika,
281–302. Cham: Springer International Publishing AG, 2023. https://doi.org/10.1007/978-3-031-33898-4_12.'
chicago-de: 'Paluch, Stefanie und Thomas Wittkop. 2023. Role of Risk on Employees’
Willingness to Collaborate with Artificial Intelligence and its Impact on Wellbeing.
In: Artificial Intelligence in Customer Service : The Next Frontier for Personalized
Engagement , hg. von Jagdish N. Sheth, Varsha Jain, Emmanuel Mogaji, und
Anupama Ambika, 281–302. Cham: Springer International Publishing AG. doi:10.1007/978-3-031-33898-4_12,
.'
din1505-2-1: 'Paluch, Stefanie ; Wittkop, Thomas: Role of Risk on Employees’
Willingness to Collaborate with Artificial Intelligence and its Impact on Wellbeing.
In: Sheth, J. N. ; Jain,
V. ; Mogaji, E. ; Ambika,
A. (Hrsg.): Artificial Intelligence in Customer Service : The Next Frontier
for Personalized Engagement . Cham : Springer International Publishing AG,
2023, S. 281–302'
havard: 'S. Paluch, T. Wittkop, Role of Risk on Employees’ Willingness to Collaborate
with Artificial Intelligence and its Impact on Wellbeing, in: J.N. Sheth, V. Jain,
E. Mogaji, A. Ambika (Eds.), Artificial Intelligence in Customer Service : The
Next Frontier for Personalized Engagement , Springer International Publishing
AG, Cham, 2023: pp. 281–302.'
ieee: 'S. Paluch and T. Wittkop, “Role of Risk on Employees’ Willingness to Collaborate
with Artificial Intelligence and its Impact on Wellbeing,” in Artificial Intelligence
in Customer Service : The Next Frontier for Personalized Engagement , J. N.
Sheth, V. Jain, E. Mogaji, and A. Ambika, Eds. Cham: Springer International Publishing
AG, 2023, pp. 281–302. doi: 10.1007/978-3-031-33898-4_12.'
mla: 'Paluch, Stefanie, and Thomas Wittkop. “Role of Risk on Employees’ Willingness
to Collaborate with Artificial Intelligence and Its Impact on Wellbeing.” Artificial
Intelligence in Customer Service : The Next Frontier for Personalized Engagement
, edited by Jagdish N. Sheth et al., Springer International Publishing AG,
2023, pp. 281–302, https://doi.org/10.1007/978-3-031-33898-4_12.'
short: 'S. Paluch, T. Wittkop, in: J.N. Sheth, V. Jain, E. Mogaji, A. Ambika (Eds.),
Artificial Intelligence in Customer Service : The Next Frontier for Personalized
Engagement , Springer International Publishing AG, Cham, 2023, pp. 281–302.'
ufg: 'Paluch, Stefanie/Wittkop, Thomas: Role of Risk on Employees’ Willingness
to Collaborate with Artificial Intelligence and its Impact on Wellbeing, in: Sheth,
Jagdish N. u. a. (Hgg.): Artificial Intelligence in Customer Service : The
Next Frontier for Personalized Engagement , Cham 2023, S. 281–302.'
van: 'Paluch S, Wittkop T. Role of Risk on Employees’ Willingness to Collaborate
with Artificial Intelligence and its Impact on Wellbeing. In: Sheth JN, Jain V,
Mogaji E, Ambika A, editors. Artificial Intelligence in Customer Service : The
Next Frontier for Personalized Engagement . Cham: Springer International Publishing
AG; 2023. p. 281–302.'
date_created: 2026-05-26T17:34:27Z
date_updated: 2026-05-27T12:09:44Z
department:
- _id: DEP3019
doi: 10.1007/978-3-031-33898-4_12
editor:
- first_name: Jagdish N.
full_name: Sheth, Jagdish N.
last_name: Sheth
- first_name: 'Varsha '
full_name: 'Jain, Varsha '
last_name: Jain
- first_name: 'Emmanuel '
full_name: 'Mogaji, Emmanuel '
last_name: Mogaji
- first_name: 'Anupama '
full_name: 'Ambika, Anupama '
last_name: Ambika
keyword:
- Artificial intelligence
- AI-based services
- Willingness to collaborate
- Employees’ wellbeing
language:
- iso: eng
page: 281–302
place: Cham
publication: 'Artificial Intelligence in Customer Service : The Next Frontier for
Personalized Engagement '
publication_identifier:
eisbn:
- '978-3-031-33898-4 '
isbn:
- 978-3-031-33897-7
publication_status: published
publisher: Springer International Publishing AG
status: public
title: Role of Risk on Employees’ Willingness to Collaborate with Artificial Intelligence
and its Impact on Wellbeing
type: book_chapter
user_id: '83781'
year: '2023'
...
---
_id: '13828'
abstract:
- lang: eng
text: Vaseline, also referred to as petrolatum, is a colloidal dispersion of liquid-crystalline
structures of hydrocarbons derived from petroleum. It has long been recognized
for its versatile applications in the pharmaceutical industry, with its use in
the formulation of various topical medications, wound care products, and drug
delivery systems. For pharmaceutical use, petrolatum has to meet the quality standards
described in its Pharmacopoeia monograph. The comprised test ranges allow for
a broad range of Vaseline qualities on the market, while the tests themselves
only poorly discriminate between grades. The only differentiating properties are
related to the melting behavior, which is tested via drop point analysis, and
the consistency, addressed in the functionality-related characteristics section.
In this study, we propose the hypothesis that Near-infrared spectroscopy (NIRS)
could be a comparably simple method to evaluate the crystalline behavior of Vaseline
qualities. We expect such information to provide additional details for Vaseline
quality discrimination. This discrimination would allow the most suitable petroleum
jelly to be selected for an existing formulation when the previous one needs to
be replaced; for example, due to a manufacturer change. We demonstrate that NIRS
in transmission and reflectance mode obtained by traditional continuous spectra
acquisition and fragmented NIR spectra acquisition through multi-optical, multi-modal
excitation, respectively, can both serve as a basis for detecting Vaseline quality
differences, which we have further proven by thermal analysis and tests with semisolid
formulations. Additionally, we demonstrate that a lower-cost multi-optical spectrometer
in reflectance mode can detect Vaseline quality differences in rotated samples.
author:
- first_name: Niels Hendrik
full_name: Fliedner, Niels Hendrik
id: '58709'
last_name: Fliedner
orcid: 0000-0003-0484-1328
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
- first_name: Claudia
full_name: Al-Karawi, Claudia
last_name: Al-Karawi
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: Fliedner NH, Lohweg V, Al-Karawi C, Pein-Hackelbusch M. A Novel Spectroscopic
Approach for Vaseline Quality Discrimination. (Dörksen H, Scanzio S, Jasperneite
J, et al., eds.). IEEE; 2023. doi:10.1109/indin51400.2023.10218318
apa: Fliedner, N. H., Lohweg, V., Al-Karawi, C., & Pein-Hackelbusch, M. (2023).
A Novel Spectroscopic Approach for Vaseline Quality Discrimination. In H. Dörksen,
S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek,
V. Vyatkin, & Institute of Electrical and Electronics Engineers (Eds.), 2023
IEEE 21st International Conference on Industrial Informatics (INDIN 2023).
IEEE. https://doi.org/10.1109/indin51400.2023.10218318
bjps: 'Fliedner NH et al. (2023) A Novel Spectroscopic Approach
for Vaseline Quality Discrimination, Dörksen H et al. (eds). [Piscataway,
NJ]: IEEE.'
chicago: 'Fliedner, Niels Hendrik, Volker Lohweg, Claudia Al-Karawi, and Miriam
Pein-Hackelbusch. A Novel Spectroscopic Approach for Vaseline Quality Discrimination.
Edited by Helene Dörksen, Stefano Scanzio, Jürgen Jasperneite, Lukasz Wisniewski,
Kim Fung Man, Thilo Sauter, Lucia Seno, Henning Trsek, Valeriy Vyatkin, and Institute
of Electrical and Electronics Engineers . 2023 IEEE 21st International Conference
on Industrial Informatics (INDIN 2023). [Piscataway, NJ]: IEEE, 2023. https://doi.org/10.1109/indin51400.2023.10218318.'
chicago-de: 'Fliedner, Niels Hendrik, Volker Lohweg, Claudia Al-Karawi und Miriam
Pein-Hackelbusch. 2023. A Novel Spectroscopic Approach for Vaseline Quality
Discrimination. Hg. von Helene Dörksen, Stefano Scanzio, Jürgen Jasperneite,
Lukasz Wisniewski, Kim Fung Man, Thilo Sauter, Lucia Seno, Henning Trsek, Valeriy
Vyatkin, und Institute of Electrical and Electronics Engineers . 2023 IEEE
21st International Conference on Industrial Informatics (INDIN 2023). [Piscataway,
NJ]: IEEE. doi:10.1109/indin51400.2023.10218318,
.'
din1505-2-1: 'Fliedner, Niels Hendrik
; Lohweg, Volker ; Al-Karawi,
Claudia ; Pein-Hackelbusch, Miriam
; Dörksen,
H. ; Scanzio, S. ; Jasperneite, J. ; Wisniewski,
L. ; Man, K. F. ; Sauter,
T. ; Seno, L. ; Trsek,
H. ; u. a. (Hrsg.): A Novel Spectroscopic Approach for Vaseline
Quality Discrimination. [Piscataway, NJ] : IEEE, 2023'
havard: N.H. Fliedner, V. Lohweg, C. Al-Karawi, M. Pein-Hackelbusch, A Novel Spectroscopic
Approach for Vaseline Quality Discrimination, IEEE, [Piscataway, NJ], 2023.
ieee: 'N. H. Fliedner, V. Lohweg, C. Al-Karawi, and M. Pein-Hackelbusch, A Novel
Spectroscopic Approach for Vaseline Quality Discrimination. [Piscataway, NJ]:
IEEE, 2023. doi: 10.1109/indin51400.2023.10218318.'
mla: Fliedner, Niels Hendrik, et al. “A Novel Spectroscopic Approach for Vaseline
Quality Discrimination.” 2023 IEEE 21st International Conference on Industrial
Informatics (INDIN 2023), edited by Helene Dörksen et al., IEEE, 2023, https://doi.org/10.1109/indin51400.2023.10218318.
short: N.H. Fliedner, V. Lohweg, C. Al-Karawi, M. Pein-Hackelbusch, A Novel Spectroscopic
Approach for Vaseline Quality Discrimination, IEEE, [Piscataway, NJ], 2023.
ufg: 'Fliedner, Niels Hendrik u. a.: A Novel Spectroscopic Approach for Vaseline
Quality Discrimination, hg. von Dörksen, Helene u. a., [Piscataway, NJ] 2023.'
van: 'Fliedner NH, Lohweg V, Al-Karawi C, Pein-Hackelbusch M. A Novel Spectroscopic
Approach for Vaseline Quality Discrimination. Dörksen H, Scanzio S, Jasperneite
J, Wisniewski L, Man KF, Sauter T, et al., editors. 2023 IEEE 21st International
Conference on Industrial Informatics (INDIN 2023). [Piscataway, NJ]: IEEE; 2023.'
conference:
end_date: 2023-07-20
location: Lemgo
name: 21st International Conference on Industrial Informatics (INDIN 2023)
start_date: 2023-07-18
corporate_editor:
- 'Institute of Electrical and Electronics Engineers '
date_created: 2026-06-28T17:08:41Z
date_updated: 2026-06-29T08:24:26Z
department:
- _id: DEP5011
- _id: DEP5023
doi: 10.1109/indin51400.2023.10218318
editor:
- first_name: Helene
full_name: Dörksen, Helene
id: '46416'
last_name: Dörksen
- first_name: Stefano
full_name: Scanzio, Stefano
last_name: Scanzio
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
- first_name: Lukasz
full_name: Wisniewski, Lukasz
id: '1710'
last_name: Wisniewski
- first_name: Kim Fung
full_name: Man, Kim Fung
last_name: Man
- first_name: Thilo
full_name: Sauter, Thilo
last_name: Sauter
- first_name: Lucia
full_name: Seno, Lucia
last_name: Seno
- first_name: Henning
full_name: Trsek, Henning
id: '1486'
last_name: Trsek
orcid: 0000-0002-0133-0656
- first_name: Valeriy
full_name: Vyatkin, Valeriy
last_name: Vyatkin
keyword:
- Reflectivity
- Industries
- Wounds
- Hydrocarbons
- Behavioral sciences
- Thermal analysis
- Sensors
language:
- iso: eng
place: '[Piscataway, NJ]'
publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN
2023)
publication_identifier:
isbn:
- 978-1-6654-9313-0
publication_status: published
publisher: IEEE
status: public
title: A Novel Spectroscopic Approach for Vaseline Quality Discrimination
type: conference_editor_article
user_id: '83781'
year: '2023'
...
---
_id: '13915'
abstract:
- lang: eng
text: Strategies based on an optimal balance between standardization and individualization
must be implemented to successfully overcome the current low level of automation
in building construction. Project-specific adaptability can be ensured by a combination
of automated machine technology and digital planning tools available today. In
addition to achieving economic advantages, the focus is on improving sustainability
factors, which concern both material consumption and functionality and improved
use of resources and energy for building production and operation. The results
of research into “lightweight aerogel concrete technology” has shown that an innovative
liquid material mixture with insulating properties can be successfully implemented
in an automated production process. An adaptive system for standardized wall,
ceiling, and floor panels was developed, which can adapt to specific functionality
needs and thus address the requirements of individual building tasks while keeping
economic as well as architectural factors in mind. The advanced mono-material
complies with current European regulations for insulated wall structures, considering
the requirements for load-bearing capacity. Due to its homogeneous insulation
effect across the entire element section, the aero lightweight concrete allows
for intelligent detailing and connection principles and prevents the formation
of thermal bridges. The relationship between material composition, material production,
construction method, and building operation is essential for a circular planning
process. Robotization as a multiple fabrication technology may facilitate these
parameters in one cycle. The new technology allows for the crucial transition
from research to an end-to-end construction workflow that maps the entire process
chain, from concept planning to design and joining principles up to fabrication
and assembly.
author:
- first_name: Jutta
full_name: Albus, Jutta
last_name: Albus
- first_name: Kirsten
full_name: Hollmann-Schröter, Kirsten
id: '90080'
last_name: Hollmann-Schröter
orcid: https://orcid.org/0000-0003-2959-0211
citation:
ama: Albus J, Hollmann-Schröter K. Prototypical approach for an individualized standardization
process in the context of intelligent construction and automation. Architecture,
Structures and Construction. 2023;3(2):275-278. doi:https://doi.org/10.1007/s44150-023-00081-0
apa: Albus, J., & Hollmann-Schröter, K. (2023). Prototypical approach for an
individualized standardization process in the context of intelligent construction
and automation. Architecture, Structures and Construction, 3(2),
275–278. https://doi.org/10.1007/s44150-023-00081-0
bjps: Albus J and Hollmann-Schröter K (2023) Prototypical Approach for an
Individualized Standardization Process in the Context of Intelligent Construction
and Automation. Architecture, Structures and Construction 3, 275–278.
chicago: 'Albus, Jutta, and Kirsten Hollmann-Schröter. “Prototypical Approach for
an Individualized Standardization Process in the Context of Intelligent Construction
and Automation.” Architecture, Structures and Construction 3, no. 2 (2023):
275–78. https://doi.org/10.1007/s44150-023-00081-0.'
chicago-de: 'Albus, Jutta und Kirsten Hollmann-Schröter. 2023. Prototypical approach
for an individualized standardization process in the context of intelligent construction
and automation. Architecture, Structures and Construction 3, Nr. 2: 275–278.
doi:https://doi.org/10.1007/s44150-023-00081-0,
.'
din1505-2-1: 'Albus, Jutta ; Hollmann-Schröter, Kirsten: Prototypical
approach for an individualized standardization process in the context of intelligent
construction and automation. In: Architecture, Structures and Construction
Bd. 3. [Cham] , Springer Nature (2023), Nr. 2, S. 275–278'
havard: J. Albus, K. Hollmann-Schröter, Prototypical approach for an individualized
standardization process in the context of intelligent construction and automation,
Architecture, Structures and Construction. 3 (2023) 275–278.
ieee: 'J. Albus and K. Hollmann-Schröter, “Prototypical approach for an individualized
standardization process in the context of intelligent construction and automation,”
Architecture, Structures and Construction, vol. 3, no. 2, pp. 275–278,
2023, doi: https://doi.org/10.1007/s44150-023-00081-0.'
mla: Albus, Jutta, and Kirsten Hollmann-Schröter. “Prototypical Approach for an
Individualized Standardization Process in the Context of Intelligent Construction
and Automation.” Architecture, Structures and Construction, vol. 3, no.
2, 2023, pp. 275–78, https://doi.org/10.1007/s44150-023-00081-0.
short: J. Albus, K. Hollmann-Schröter, Architecture, Structures and Construction
3 (2023) 275–278.
ufg: 'Albus, Jutta/Hollmann-Schröter, Kirsten: Prototypical approach for
an individualized standardization process in the context of intelligent construction
and automation, in: Architecture, Structures and Construction 3 (2023),
H. 2, S. 275–278.'
van: Albus J, Hollmann-Schröter K. Prototypical approach for an individualized standardization
process in the context of intelligent construction and automation. Architecture,
Structures and Construction. 2023;3(2):275–8.
date_created: 2026-08-07T09:25:07Z
date_updated: 2026-08-07T13:17:49Z
department:
- _id: DEP1022
doi: https://doi.org/10.1007/s44150-023-00081-0
extern: '1'
intvolume: ' 3'
issue: '2'
keyword:
- Individualized standardization
- Adaptability
- Lightweight aerogel concrete technology
- Resource optimization
language:
- iso: eng
page: 275-278
place: ' [Cham] '
publication: Architecture, Structures and Construction
publication_identifier:
eissn:
- 2730-9894
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: Prototypical approach for an individualized standardization process in the
context of intelligent construction and automation
type: scientific_journal_article
user_id: '83781'
volume: 3
year: '2023'
...