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Call for papers: Computers in Human Behavior
Consumer interaction with cutting-edge
technologies
Guest Editors:
Nisreen Ameen, Ali Tarhini, Mahmood Shah, Sameer Hosany
Aims and scope of the Special Issue
The use of digital technologies such as web analytics and social media has proven to be
an effective way of marketing. However, the introduction of new types of technologies
that allow to further customer reach, more intense personalisation and improving
customers’ experience has brought new benefits and challenges to businesses. Cutting
edge technologies (CET) such as artificial intelligence, augmented reality, virtual reality,
wearable technology, robotics and biometrics are innovative technologies intended to
make life more convenient for humans. Existing research acknowledges the use of these
technologies in areas such as automation (Wesche & Sonderegger, 2019), supply chain
(Oh & Jeong, 2019), education (Arafat et al., 2019) and tourism (Tussyadiah et al., 2018).
In addition, CETs are revolutionising the way companies interact with their customers
and market their products and services. They are transforming sales and marketing
function. For example, artificial intelligence can be used for smart content creation,
chatbots, predictive customer service and marketing automation. Hence, such
technologies have an impact on consumer behaviour and the role of marketers.
Despite the enthusiasm surrounding the concept and emerging research on how CETs
are used in different aspects of life (Smith, 2019) and how consumers accept them
(Manis & Choi, 2019; Pizzi et al., 2019), there is still a lack of understanding in terms of
how consumers interact and engage with these technologies. While the existing literature
is rich with studies focusing on human interaction with digital marketing technologies
such as web analytics, social media and mobile marketing (e.g. Liu & Bakici, 2019; Chen,
Tran & Nguyen 2019), there is a gap in terms of how consumers interact and engage with
CETs.
This special issue welcomes a limited number of quantitative, qualitative or mixed
methods research focusing on issues around consumer interaction and engagement with
the latest cutting-edge technologies.
Topics:
This special issue invites high quality contributions that include, but are not limited to,
the following areas:
Empirical studies on consumer interaction with cutting-edge technologies
Psychological factors affecting consumer experience with cutting-edge technologies
Impact of cutting-edge technologies on value co-creation
Gender differences in consumer interaction with cutting-edge technologies
Knowledge sharing and knowledge management in consumer interaction with cutting-
edge technologies
Consumers’ trust and security issues when using cutting-edge technologies
The impact of cutting-edge technologies on tourism marketing practices
References
Arafat, S., Aljohani, N., Abbasi, R., Hussain, A. & Lytras, M. (2019). Connections
between e-learning, web science, cognitive computation and social sensing, and their
relevance to learning analytics: A preliminary study. Computers in Human Behavior, 92,
478-486.
Chen, J.V., Tran, A. & Nguyen, T. (2019). Understanding the discontinuance behavior of
mobile shoppers as a consequence of technostress: An application of the stress-coping
theory. Computers in Human Behavior, 95, 83-93.
Liu, Y. & Bakici, T. (2019). Enterprise social media usage: The motives and the
moderating role of public social media experience. Computers in Human Behavior, 101,
163-172.
Manis, K. T., & Choi, D. (2019). The virtual reality hardware acceptance model (VR-
HAM): Extending and individualising the technology acceptance model (TAM) for
virtual reality hardware. Journal of Business Research, 100(July), 503-513.
Oh, J. & Jeong, B. (2019). Tactical supply planning in smart manufacturing supply
chain. Robotics and Computer-Integrated Manufacturing, 55, 217-233.
Pizzi, G., Scarpi, D., Pichierri, M., & Vannucci, V. (2019). Virtual reality, real reactions?:
Comparing consumers’ perceptions and shopping orientation across physical and
virtual-reality retail stores. Computers in Human Behavior, 96 (July), 1-12.
Smith, A., (2019). Consumer Behaviour and Analytics. NewYork: Routledge.
Tussyadiah, I. P., Wang, D., Jung, T. & tom Dieck, M. C. (2018). Virtual reality, presence,
and attitude change: Empirical evidence from tourism. Tourism Management, 66
(June), 140-154.
Wesche, J.S. & Sonderegger, A. (2019). When computers take the lead: The automation
of leadership. Computers in Human Behavior, 101, 197-209.
Important dates
The deadline for first submission of papers is 30th May 2020
First round decisions to authors (review): 1st July 2020
Second round submission (rejection/revision): 1st September 2020
Third and final round submissions (acceptance/rejection): 30th October 2020
Inquiries, including questions about appropriate topics, may be sent
electronically to
Nisreen Ameen (nisreen.ameen@rhul.ac.uk)
Ali Tarhini (ali.tarhini@hotmail.co.uk)
Mahmood Shah (ac3559@coventry.ac.uk) or
Sameer Hosany (sameer.hosany@rhul.ac.uk).
Submission Instructions:
EES link
https://ees.elsevier.com/chb/
Authors to select VSI: Interaction with tech as the article type when submitting the
special issue paper in EES.
Kindly refer Guide for Authors for detailed guidelines:
https://www.elsevier.com/journals/computers-in-human-behavior/0747-5632/guide-
for-authors
As per the publication model, special issue papers once accepted will be included in the
next available issue and get published. In ScienceDirect, they will be grouped under the
special issue.
And, when we near the completion of all special issue papers we request the Guest
Editors to send us the editorial (in word document) and preferred order of papers, if any
(ordering will be done only online). Once approved, Journal Manager will typeset the
editorial and reorder the papers online (if ordering sent) and complete the issue process.
Upon publication:
1. Guest Editors will be sent the Share Links of all Special Issue articles once the issue is
complete.
2. Each corresponding author receives the Share Link of their article once published.
Share Links enable you to share your Special Issues’ articles for free for 50 days. The
links can be posted on the social networks such as Facebook, Twitter, and LinkedIn, or
emailed to colleagues.
Journal Metrics: Computers in Human Behavior
CiteScore: 6.14
Impact Factor: 4.306
5-Year Impact Factor: 4.964
Source Normalized Impact per Paper (SNIP): 2.245
SCImago Journal Rank (SJR): 1.711
