Calls for Papers (special): International Journal of Technology and Human Interaction (IJTHI)


Special Issue On: Adoption of Big Data and Disruptive Technologies in E-commerce

Submission Due Date
3/1/2020

Guest Editors
Dr. Abhishek Behl , Shailesh J Mehta School of Management, Indian Institute of Technology, Bombay, India
Dr. Kokil Jain, Amity International Business School, Noida, India
Dr. Zongwei Luo, South University of Science and Technology, China


Introduction
Big Data Analytics (BDA) has gained traction in recent years both in academia and e-commerce industry. E-commerce firms have started to harness big data to the maximum of its capacity which has resulted in increase in their efficiency, profit and helped them explore trends about their customers. A lot of e-commerce firms have also infused disruptive technologies thereby resulting in better understanding of customer’s behavior. While disruptive technologies offers traits like simplicity, cost efficiency and convenience with respect to conventional technologies; big data analytics adds dimensions of variety, volume, velocity, veracity and value. Thus, the co-existence of disruptive technologies and big data analytics have transformed businesses by and large.

The process of adoption and therefore adaptation to these technologies is a complex process and needs a detailed study bringing in academia and industry together. Existing literature has also confirmed that e-commerce are of the biggest producers and consumers of big data which in turn makes them a key stakeholder in the lifecycle of big data. A similar trend is also observed for disruptive technologies in an e-commerce company. The advancements of technologies like Blockchain and its implications on industry 4.0 falls under one of the most discussed topics by companies as well as researchers. Alongside to this, there lies a dearth of intellectual, theoretical and practical support which makes the adoption process difficult and confusing at the same time. The purchase and further upgradation of these technologies is majorly dependent on trust, competitive advantage, resource utilization and stakeholder perspective, there also lies a degree of threat. With changing technology, there are multiple vendors which tend to offer a competitive edge thereby making the process of adoption more confusing. It is therefore important to understand the risk/reward tradeoff in this domain through empirical validation of theories, case studies and systematic review of literature.

The process of adoption of such technologies is more of an unsupervised phenomenon and thus it has some challenges which are listed by recent studies. Studies highlights that big data and disruptive technology environment does not at times sync with existing organizational capabilities and culture which leads to lesser than expected profits. This is also often coupled with lack of good quality of big data which e-commerce firms are unable to capture while dealing with customers. Other concerns also include individual privacy, financial security and most important customer database management. Studies have also pointed out that exploring the correct skillset, hiring them and grooming them with continuously evolving technology is also a high priority concern for most of the organizations. The enormous amount and diversification of of big data needs to be captured, integrated, cleaned, and visualized; therefore, the technical and analytical skills of the data scientist (e.g., statistical, contextual, quantitative, predictive, and cognitive skills, and other related knowledge) are critical. This confirms that the developing a core team which would smooth adoption and usage of BDA and disruptive technologies is an additional concern. In addition, these scientists should be conversant with business and governance issues, and should have the skills to communicate in the language of business.


Objective
Developing a blueprint of buying, implementing and revisiting the advanced technologies in a dynamically complex business environment needs to be systematically addressed. The special issue aims to address these challenges and proposes to attract papers which would address the below mentioned topic through empirical studies, case based solutions, qualitative studies and extensive review of literature.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
    1. Adoption and adaptation of disruptive technologies
    2. Applied Big Data Analytics (BDA) and its implications on e-commerce
    3. E-commerce start-ups and challenges in adopting BDA and disruptive technologies
    4. Improving business operations using BDA and disruptive technologies
    5. Challenges in vendor and services selection for technologies
    6. Expanding business operations through BDA
    7. Competitive advantage of technology adoption and its impact on business process management
    8. Achieving sustainable business operations using disruptive technologies
    9. Interdisciplinary theoretical contributions in BDA and disruptive technology adoption
    10. Case based approach for understanding best practices for BDA and disruptive technologies in e-commerce


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Adoption of Big Data and Disruptive Technologies in E-commerce on or before March 1st 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Abhishek Behl; Kokil Jain; Zongwei Luo
Guest Editors
International Journal of Technology and Human Interaction
E-mail: abhishekbehl27@gmail.com; kjain@amity.edu; luozw@sustech.edu.cn

Special Issue On: Smart Solutions in Advanced Technologies and Networking

Submission Due Date
5/1/2020

Guest Editors
Dr. Osamah Ibrahim Khalaf
Al-Nahrain University, Iraq
usama.ibrahem@coie-nahrain.edu.iq
usama81818@gmail.com

Introduction
With the rapid advent of various expanding research on wireless mobile networks, such as MANETs , VANETs , CCNs , WSNs , and IoT etc ,. more and more smart mobile devices ( e.g . smart phones, smart -watches, smart -glasses, personal wearable communication devices and wearable healthcare devices, etc.) have been designed to adapt to the development of wireless mobile networks, which indicates that we are entering an era of smart society. By leveraging the wireless mobile networks, smart mobile devices can communicate with each other and exchange n anytime and information to perform the optimal control or display necessary information any where. Although there have been large numbers of research efforts relevant to this area, it is still necessary to address many challenges of wireless mobile networks by utilizing ongoing works. on in terms of energy consumption, radio resource On one hand, the efficient resource utilizatiallocation, routing selection etc., is still a big challenge in wireless mobile networks. On the other hand, the deployment of exiting wireless mobile networks lacks appropriate monitoring , response sms and cognitive ability etc. Therefore, building “advanced” wireless mobile networks mechaniwith the features of intelligent and cooperative communication, cross -layer optimization, and security -e solved. The aim of guarantee etc. has become an utmost important and urgent task to bthis special issue is to motivate researchers to publish their latest research, up -to -date issues, and challenges in the field of wireless mobile networks . Scopes include, but are not Proposed submissions should be original and unpublished.

Objective
To reduce the gap between authors in hot topics because the rapid advent of various expanding research on wireless mobile networks and Technology and Human Interaction.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:  Cross - layer design and optimization for wireless mobile networks  Multipath communication over wireless mobile networks  Wireless & mobile network management and data services  Computer Sciences and Information  Engineering and sciences  Mobility management and modeling in wireless mobile networks  Wireless Sensor and Actor Networks, Ad hoc and Opportunistic Networks

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Smart Solutions in Advanced Technologies and Networking on or before May 1, 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributorresources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. Osamah Ibrahim Khalaf
Al-Nahrain University, Iraq
usama.ibrahem@coie-nahrain.edu.iq
usama81818@gmail.com