Consumer interaction with cutting-edge technologies

in Special Issue   Posted on June 3, 2020 

Information for the Special Issue

Submission Deadline: Sat 30 May 2020
Journal Impact Factor : 5.003
Journal Name : Computers in Human Behavior
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

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.


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


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 ([email protected])

Ali Tarhini ([email protected])

Mahmood Shah ([email protected]) or

Sameer Hosany ([email protected]).

Submission Instructions:

EES link

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:

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.

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