Give me your data and I’ll dress you: A two-sided messaging approach to address privacy concerns surrounding in-store technologies

Souka, Mohamed; Bilstein, Nicola; Decker, Reinhold

doi:10.1016/j.jbusres.2023.114396

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite1

Independent1

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 73 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…its threats and value destructing potentials) like privacy concerns (e.g. Souka et al , 2024), perceived technostress (e.g. Ayyagari et al , 2011) or ethical and legal challenges (e.g.…”

Section: Introductionmentioning

confidence: 99%

Editorial: Research horizons of smart service technologies – Special section editorial

Bilstein,

Henkel,

Heinonen

2024

JSTP

Self Cite

View full text Add to dashboard Cite

“…its threats and value destructing potentials) like privacy concerns (e.g. Souka et al , 2024), perceived technostress (e.g. Ayyagari et al , 2011) or ethical and legal challenges (e.g.…”

Section: Introductionmentioning

confidence: 99%

Editorial: Research horizons of smart service technologies – Special section editorial

Bilstein,

Henkel,

Heinonen

2024

JSTP

Self Cite

View full text Add to dashboard Cite

New Voice Channel and Voice Endorsement: How the Information Displayed on Online Idea Management Platforms Influences Voice Endorsement?

Liang,

Tian,

Zhang

et al. 2024

International Journal of Business Communication

View full text Add to dashboard Cite

This study aims to provide an integrative understanding of the antecedents of voice endorsement from the digital voice context. This paper focuses on the distinctive information displayed on online idea management platforms and employs the elaboration likelihood model (ELM) to examine how peripheral cues (the number of readings, likes, comments, voicer status, and voicer identity) and central cues (voice persuasiveness and voice sidedness) influence voice endorsement. We empirically tested our research model with the archival database of 201 employee voice posts on the online idea management platform from a large Chinese enterprise. The results of archival analysis showed that several factors were significantly related to voice endorsement. Specifically, the number of comments, voicer status, and voice persuasiveness were positively related to voice endorsement. Voicer identity and voice sidedness were negatively related to voice endorsement. However, the number of readings and the number of likes were not significantly related to voice endorsement. Moreover, issue involvement significantly moderated the relationship between the number of comments and voice endorsement, as well as the relationship between voice persuasiveness and voice endorsement, and between voice sidedness and voice endorsement. Theoretical and practical implications for voice endorsement are discussed.

show abstract

Give me your data and I’ll dress you: A two-sided messaging approach to address privacy concerns surrounding in-store technologies

Cited by 2 publications

References 73 publications

Editorial: Research horizons of smart service technologies – Special section editorial

Editorial: Research horizons of smart service technologies – Special section editorial

New Voice Channel and Voice Endorsement: How the Information Displayed on Online Idea Management Platforms Influences Voice Endorsement?

Contact Info

Product

Resources

About