Raed Salah Algharabat

Prof. Dr. Raed Salah Algharabat

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 November 2017 in Telematics and Informatics
Verified
Journal Article
Closed access
AAAli Abdallah Al-Alwan
Ali Abdallah Al-Alwan
NRNripendra P. Rana
Nripendra P. Rana
YDYogesh K. Dwivedi
Yogesh K. Dwivedi
Raed Salah AlgharabatRaed Salah Algharabat
Raed Salah Algharabat

1 January 2018 in Journal of Retailing and Consumer Services
Verified
Journal Article
Closed access
AAAli Abdallah Al-Alwan
Ali Abdallah Al-Alwan
YDYogesh K. Dwivedi
Yogesh K. Dwivedi
NRNripendra P. Rana
Nripendra P. Rana
Raed Salah AlgharabatRaed Salah Algharabat
Raed Salah Algharabat

1 March 2020 in Journal of Retailing and Consumer Services
Verified
Journal Article
Closed access
Raed Salah AlgharabatRaed Salah Algharabat
Raed Salah Algharabat
NRNripendra P. Rana
Nripendra P. Rana
AAAli Abdallah Al-Alwan
Ali Abdallah Al-Alwan
ABAbdullah Baabdullah
Abdullah Baabdullah
AGAshish Gupta
Ashish Gupta

1 January 2018 in Journal of Retailing and Consumer Services
Verified
Journal Article
Closed access
Raed Salah AlgharabatRaed Salah Algharabat
Raed Salah Algharabat
NRNripendra P. Rana
Nripendra P. Rana
YDYogesh K. Dwivedi
Yogesh K. Dwivedi
AAAli Abdallah Al-Alwan
Ali Abdallah Al-Alwan
ZQZainah Qasem
Zainah Qasem

7 February 2023 in Information Technology & People
Verified
Journal Article
Closed access
RPRajasshrie Pillai
Rajasshrie Pillai
YGYamini Ghanghorkar
Yamini Ghanghorkar
BSBrijesh Sivathanu
Brijesh Sivathanu
Raed Salah AlgharabatRaed Salah Algharabat
Raed Salah Algharabat
NRNripendra P. Rana
Nripendra P. Rana
Purpose: AI-based chatbots are revamping employee communication in organizations. This paper examines the adoption of AI-based employee experience chatbots by employees.Design/methodology/approach: The proposed model is developed using behavioral reasoning theory and empirically validated by surveying 1,130 employees and data was analyzed with PLS-SEM.Findings: This research presents the “reasons for” and “reasons against” for the acceptance of AI-based employee experience chatbots. The “reasons for” are – personalization, interactivity, perceived intelligence and perceived anthropomorphism and the “reasons against” are perceived risk, language barrier and technological anxiety. It is found that “reasons for” have a positive association with attitude and adoption intention and “reasons against” have a negative association. Employees' values for openness to change are positively associated with “reasons for” and do not affect attitude and “reasons against”.Originality/value: This is the first study exploring employees' attitude and adoption intention toward AI-based EEX chatbots using behavioral reasoning theory.

31 May 2022 in Technological Forecasting and Social Change
Verified
Journal Article
Closed access
ABAbdullah M. Baabdullah
Abdullah M. Baabdullah
AAAli Abdallah Alalwan
Ali Abdallah Alalwan
Raed Salah AlgharabatRaed Salah Algharabat
Raed Salah Algharabat
BMBhimaraya Metri
Bhimaraya Metri
NRNripendra P. Rana
Nripendra P. Rana