---
_id: '3516'
abstract:
- lang: eng
  text: 'Triadic service relationships comprise complex relationships in which not
    only the customer and provider are involved as partners but also other individuals
    with caregiving relationships with the customer. A triadic constellation may arise
    in the context of services for animal companions, for example, when veterinarians
    provide counsel and treatment to the animal companion and its owner. Through interviews
    with both owners of animal companions and providers of services for animal companions,
    this study explores typical constellations and characteristics of the three relationships
    in this service triad. In line with balance theory, the results show that four
    distinct types of triadic relationships exist in services for animal companions:
    the harmonious, the dysfunctional, the challenging, and the doubtful triad. The
    study highlights the potential conflicts and dynamics in the triads to advise
    providers on how to address customers depending on the types of triads to which
    they belong.'
article_type: original
author:
- first_name: Julia
  full_name: Rötzmeier-Keuper, Julia
  id: '24869'
  last_name: Rötzmeier-Keuper
- first_name: Jennifer
  full_name: Hendricks, Jennifer
  last_name: Hendricks
- first_name: Nancy
  full_name: Wünderlich, Nancy
  id: '36392'
  last_name: Wünderlich
- first_name: Gertrud
  full_name: Schmitz, Gertrud
  last_name: Schmitz
citation:
  ama: Rötzmeier-Keuper J, Hendricks J, Wünderlich N, Schmitz G. Triadic relationships
    in the context of services for animal companions. <i>Journal of Business Research</i>.
    2018;(85):295--303.
  apa: Rötzmeier-Keuper, J., Hendricks, J., Wünderlich, N., &#38; Schmitz, G. (2018).
    Triadic relationships in the context of services for animal companions. <i>Journal
    of Business Research</i>, (85), 295--303.
  bibtex: '@article{Rötzmeier-Keuper_Hendricks_Wünderlich_Schmitz_2018, title={Triadic
    relationships in the context of services for animal companions}, number={85},
    journal={Journal of Business Research}, publisher={Elsevier}, author={Rötzmeier-Keuper,
    Julia and Hendricks, Jennifer and Wünderlich, Nancy and Schmitz, Gertrud}, year={2018},
    pages={295--303} }'
  chicago: 'Rötzmeier-Keuper, Julia, Jennifer Hendricks, Nancy Wünderlich, and Gertrud
    Schmitz. “Triadic Relationships in the Context of Services for Animal Companions.”
    <i>Journal of Business Research</i>, no. 85 (2018): 295--303.'
  ieee: J. Rötzmeier-Keuper, J. Hendricks, N. Wünderlich, and G. Schmitz, “Triadic
    relationships in the context of services for animal companions,” <i>Journal of
    Business Research</i>, no. 85, pp. 295--303, 2018.
  mla: Rötzmeier-Keuper, Julia, et al. “Triadic Relationships in the Context of Services
    for Animal Companions.” <i>Journal of Business Research</i>, no. 85, Elsevier,
    2018, pp. 295--303.
  short: J. Rötzmeier-Keuper, J. Hendricks, N. Wünderlich, G. Schmitz, Journal of
    Business Research (2018) 295--303.
date_created: 2018-07-10T07:15:45Z
date_updated: 2022-01-06T06:59:21Z
department:
- _id: '181'
issue: '85'
keyword:
- Triadic relationships
- Balance theory
- Pet-related services
- Animal companions
- Service relationship typology
- Service triads
language:
- iso: eng
page: 295--303
publication: Journal of Business Research
publication_status: published
publisher: Elsevier
status: public
title: Triadic relationships in the context of services for animal companions
type: journal_article
user_id: '37741'
year: '2018'
...
---
_id: '13331'
abstract:
- lang: eng
  text: Communication in online social networks has been analyzed for some time regarding
    the expression of sentiments. So far, very little is known about the relationship
    between sentiments and network emergence, dissemination patternsand possible differences
    between positive and negative sentiments. The dissemination patterns analyzed
    in this study consist of network motifs based on triples of actors and the ties
    among them. These motifs are associated with common social network effects to
    derive meaningful insights about dissemination activities. The data basis includes
    several thousand social networks with textual messages classified according to
    embedded positive and negative sentiments. Based on this data, sub-networks are
    extracted and analyzed with a dynamic network motif analysis to determine dissemination
    patterns and associated network effects. Results indicate that the emergence of
    digital social networks exhibits a strong tendency towards reciprocity, followed
    by the dominance ofhierarchy as an intermediate step leading to social clustering
    with hubs and transitivity effects for both positive and negative sentiments to
    the same extend. Sentiments embedded in exchanged textual messages do only play
    a secondary role in network emergence and do not express differences regarding
    the emergence of network patterns.
author:
- first_name: Robert
  full_name: Hillmann, Robert
  last_name: Hillmann
- first_name: Matthias
  full_name: Trier, Matthias
  id: '72744'
  last_name: Trier
citation:
  ama: 'Hillmann R, Trier M. Dissemination Patterns and Associated Network Effects
    of Sentiments in Social Networks. In: <i>Proceedings of the 2012 IEEE/ACM International
    Conference on Advances in Social Networks Analysis and Mining</i>. United States:
    IEEE; 2012:510-515.'
  apa: 'Hillmann, R., &#38; Trier, M. (2012). Dissemination Patterns and Associated
    Network Effects of Sentiments in Social Networks. In <i>Proceedings of the 2012
    IEEE/ACM International Conference on Advances in Social Networks Analysis and
    Mining</i> (pp. 510–515). United States: IEEE.'
  bibtex: '@inproceedings{Hillmann_Trier_2012, place={United States}, title={Dissemination
    Patterns and Associated Network Effects of Sentiments in Social Networks}, booktitle={Proceedings
    of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis
    and Mining}, publisher={IEEE}, author={Hillmann, Robert and Trier, Matthias},
    year={2012}, pages={510–515} }'
  chicago: 'Hillmann, Robert, and Matthias Trier. “Dissemination Patterns and Associated
    Network Effects of Sentiments in Social Networks.” In <i>Proceedings of the 2012
    IEEE/ACM International Conference on Advances in Social Networks Analysis and
    Mining</i>, 510–15. United States: IEEE, 2012.'
  ieee: R. Hillmann and M. Trier, “Dissemination Patterns and Associated Network Effects
    of Sentiments in Social Networks,” in <i>Proceedings of the 2012 IEEE/ACM International
    Conference on Advances in Social Networks Analysis and Mining</i>, 2012, pp. 510–515.
  mla: Hillmann, Robert, and Matthias Trier. “Dissemination Patterns and Associated
    Network Effects of Sentiments in Social Networks.” <i>Proceedings of the 2012
    IEEE/ACM International Conference on Advances in Social Networks Analysis and
    Mining</i>, IEEE, 2012, pp. 510–15.
  short: 'R. Hillmann, M. Trier, in: Proceedings of the 2012 IEEE/ACM International
    Conference on Advances in Social Networks Analysis and Mining, IEEE, United States,
    2012, pp. 510–515.'
date_created: 2019-09-19T12:49:33Z
date_updated: 2022-01-06T06:51:33Z
department:
- _id: '198'
keyword:
- Social Network Analysis
- Dynamic Network Motif Analysis
- Sentiment Dissemination
- Networking Effects
- Triads
language:
- iso: eng
page: 510-515
place: United States
publication: Proceedings of the 2012 IEEE/ACM International Conference on Advances
  in Social Networks Analysis and Mining
publication_identifier:
  isbn:
  - '9780769547992'
publisher: IEEE
status: public
title: Dissemination Patterns and Associated Network Effects of Sentiments in Social
  Networks
type: conference
user_id: '62809'
year: '2012'
...