Calls for Papers (special): International Journal of Information Systems and Supply Chain Management (IJISSCM)


Special Issue On: ICT and Information Systems in Emerging Markets

Submission Due Date
6/30/2022

Guest Editors
Pawan Kumar, Mittal School of Business, Lovely Professional University, India
Rajesh Verma, Mittal School of Business, Lovely Professional University, India
Gursimran Singh, Mittal School of Business, Lovely Professional University, India

Introduction
The backbone of today’s Digital economy is information and communication technologies (ICT). However, very less literature is available that talks about how Information System dimensions are impacted by diffusion of Information communication Technologies.

The increase in usage of artificial intelligence and analytics has created “digital divide” resulting in making ICT inequitable (Newman et al. 2017) particularly in context of emerging markets. Moreover, big data-driven research attracts researchers towards design science and action research, whereby innovative solutions may also be created which help to define ideas, capabilities, practices, and innovative products or services through big data analysis (Angelopoulos et al., 2020). There is significant advancement in various industries due to sophisticated information system and usage of ICT such as augment reality, simulation, and cloud computing etc. (Freije et al., 2021) .Furthermore, there is a paradigm shift to Industry 5.0, that ensures global enterprises drive value co-creation particularly in emerging markets, using disruptive and innovative technologies. Therefore it becomes imperative to investigate this phenomenon of digital inclusion that can assist in addressing various socio-economic inequalities (Zaffar et al. 2019). Information Systems along with e-Business Management (ISeB) has brought revolution in various industries such as automobile, healthcare, entertainment etc in context to emerging markets. ICT and information system plays a dominant role in emerging markets as it contributes to sustainable growth and competitive advantage. There is immense potential and interest in various emerging markets as these markets varies in history, size, income and resource endowments. With the rapid advances of information system organizations from emerging markets have started adopting sophisticated information and communication technologies to expand their business. Moreover, advanced information and communication technology solves various economic problem faced by the government, people and firms by integrating data through social media, websites etc. As a result of these both private and public organizations in emerging markets can find leapfrogging solutions to address problems such as poverty and inequality while focusing on prosperity and economic growth (Andrews et al., 2019).

Objective
This special issue aims to address and answer such questions in the following call for papers: ICT and Information Systems in Emerging Markets. In this special issue, we are eager to publish the best ICT and IS research that is being done in the emerging markets. What is critical is that the reference of emerging country (ies) is explicitly referenced in the research design and thus that lessons are being learned that are explicitly relevant for the emerging markets as well as the wider audience. This special issue aims to foster research and gather high quality papers concerning changing scenario of geographic proximity in Information system with special reference to emerging markets.

As a special issue that targets research regionally, there is no core theme that submitting authors need to consider. However, we strongly encourage authors to investigate contemporary topics. We also urge them to problematize their research carefully (Chatterjee and Davison, 2021).

Recommended Topics
• ICT designs and processes to mitigate digital exclusion
• Managing digital transformation from Industry 4.0 era to Industry 5.0
• Digital transformation and the GIG economy in emerging markets
• Factors affecting effectively usage of emerging ICT
• Role of technological, market, or policy designs towards addressing digital disparities
• Information system and Big Data
• Artificial intelligence and its impact on value creation
• Strategies for addressing the digital disparities
• Phygital Retail
• E-Commerce adoption technologies
• Marketing5.0 and its challenges in emerging markets

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on ICT and Information Systems in Emerging Markets on or before June 30th, 2022. 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:
Pawan Kumar
Rajesh Verma
Gursimran Singh
Guest Editors
International Journal of Information Systems and Supply Chain Management (IJISSCM)
Email: thegreatpk@gmail.com; rajesh.verma@lpu.co.in; gursimran.24832@lpu.co.in

Special Issue On: E-Supply Chain Management and Service Branding

Submission Due Date
8/26/2022

Guest Editors
Sonu Dua, Lyallpur Khalsa College Technical Campus, India
Sakshi Dua, Lovely Professional University, India
Pawanpreet Dua, Lyallpur Khalsa College Technical Campus, India

Introduction
E-Supply chain management in a manufacturing context is a series of Internet-enabled value-adding activities to guarantee products are created by a manufacturing process. Supply chains have advanced in the last two decades with improved efficiency, agility, and accuracy. The recent advancement of Internet technology has brought more powerful support to improving supply chain performance. In this context, e-supply chain management becomes a new term that distinguishes itself by net-centric and real-time features from traditional supply chain management. E-Supply Chain Management how to efficiently integrate and optimize supply chain operations with widespread marketplaces and characteristic demands using the latest advances in information and communication technologies.

Objective
1. To create awareness among the researchers and authors pertaining to the paramount relationship of Industry 5.0 and e-supply chain management
2. To establish a significant relationship between e-supply chain management and i-branding.
3. To investigate the relationship between e-supply chain management and Service branding.

Recommended Topics
1. Industry 5.0 and E-supply chain management
2. Role of AI in supply chain management
3. I Branding and E-supply chain Management
4. Supply chain Management and Service Branding
5. Co-working of Humans and Machines in E-Supply chain Management
6. marketing 5.0 and Supply chain Management
7. Future of e-marketing and E-supply chain Management
8. Role of COBOTS in E-supply
9. Challenges in E-supply chain Management

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on E-Supply Chain Management and Service Branding on or before August 26th, 2022. 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:
Sonu Dua
Sakshi Dua
Pawanpreet Dua
Guest Editors
International Journal of Information Systems and Supply Chain Management (IJISSCM)
Email: sonudua3778@gmail.com; sakshi_nancy@yahoo.in; pawanlkce@gmail.com

Special Issue On: New Policies and Strategies for Sustainable Supply Chain Management

Submission Due Date
10/4/2022

Guest Editors
Dr. Gunasekaran Manogaran, Howard University, U.S.A.
Dr. Ching-Hsien Hsu, Asia University, Taiwan.
Dr. Qin Xin, University of the Faroe Islands, Denmark.

Introduction
Supply chain management is an inevitable part of the business process that greatly determines the factor of success in a competitive environment. Humans depend on the supply chain for the effective delivery of goods and services, which includes basic commodities such as food, clothing, healthcare, and several other services. In general, supply chain management deals with the distribution of the right quantity of product with the right quality for the appropriate amount of money. However, with a shorter product life cycle and varying market demands, organizations are forced to face numerous changes in supply chain management strategies. In addition, customer preferences may change over time; it is often crucial for organizations to make an effort to understand the changing demands. Hence, it has become necessary to invest in new policies and strategies for the sustainable supply chain management.

Objective
Globally speaking, today’s market is highly challenging. Understanding the dynamics of regional, national, and universal compliance requirements can be a complicated process. Incorporating new policies and strategies for supply chain management defines the collection of tools and methodologies that effectively produce, manufacture, and distribute goods and services across different parts of the world. Though information and technological innovations can be inevitable for supply chain management, on the other side, making investments on developing innovative policies and strategical measures is also crucially important. It is undoubtful that incorporating novel policies and strategical measures can potentially offer a new way of work environment that enables us to deal with supply chain management activities in a faster and more productive way with intangible benefits. For instance, enhanced productivity, reduced production and distribution costs, improved mobility, improved quality of services, improved customer relationship management, and improved profit measures are some of the reasonable advantages of implementing new policies and strategies for the supply chain management. In this context, this special issue aims to explore novel and innovative policies and strategical measures for supply chain management with improved quality of services. We welcome researchers and practitioners from various backgrounds to present novel and innovative solutions against this background.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
  • Innovative policy and strategy measures on inventory management to attain sustainable supply chain management
  • Innovative policy and strategy measures on logistics to attain sustainable supply chain management
  • Innovative policy and strategy measures on transportation to attain sustainable supply chain management
  • Innovative policy and strategy measures on renewable energy resources to attain sustainable supply chain management
  • Innovative policy and strategy measures on production, finance, and marketing to attain sustainable supply chain management
  • Innovative policy and strategy measures on enterprise resource planning to attain sustainable supply chain management
  • Innovative policy and strategy measures on science and technology to attain sustainable supply chain management
  • Innovative policy and strategy measures on location-theory and location-inventory to attain sustainable supply chain management
  • Innovative policy and strategy measures on social and economy to attain sustainable supply chain management
  • Innovative policy and strategy measures on changing market demands to attain sustainable supply chain management


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on New Policies and Strategies for Sustainable Supply Chain Management on or before 10/04/2022. 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:
Dr. Gunasekaran Manogaran,
Dr. Ching-Hsien Hsu,
Dr. Qin Xin
.
Guest Editor
International Journal of Information Systems and Supply Chain Management (IJISSCM)
Email: gunasekaran.manogar@howard.edu; robertchh@asia.edu.tw; qinx@setur.fo

Special Issue On: Advances in Artificial Intelligence and Big Data Analytics for Information Systems in Social Science

Submission Due Date
10/11/2022

Guest Editors
Dr. Srikanta Patnaik, SOA University, China.
Dr. Tao Shen, Kumming University of Science and Technology, China.
Dr. Xilong Qu, Hunan University of Finance and Economics, China.
Dr. Yanyu Chen, Zhejiang Normal University, China.

Introduction
Information update together with utilization of the information technology in society are going faster and more extensive as the the application of artificial intelligence (AI), big data and machine learning. The information system is becoming more intelligent and accurate based on big data analytics. Based on intelligent and flexible information systems, innovation activities in different industries and organizations are stimulated. In addition, the participation of people from the every levels is more convenient and in-depth, which strongly facilitates the whole society developments. It’s clearly visible that big data for information systems and artificial intelligence are becoming more important than ever before.

Objective
Big data analytics is currently a high-focus topic aimed at extracting meaningful information and patterns from data of information systems. Extracting insights or useful knowledge from the big data can be used to build data-driven intelligent systems or models for smart and automated decision-making, where machine learning/deep learning technology is key. However, there are also lots of challenges for the applications in different aspect of society. What’s the most important is risk of computing private and computing security is threatening the applications of these new information technologies. On the other hand, the applications of artificial intelligence in the information systems has still not been clearly revealed. To sum up, the values of information systems based on artificial intelligence (AI), big data and machine learning deserves further research.
This Special Issue aims to collect recent developments in artificial intelligence and big data analytics for information systems in Social Science. Submissions focusing on the use of new theories, technologies, and methods are particularly encouraged.

Recommended Topics
  • Big data analytics network in different industries
  • Machine learning/deep learning methods for data mining
  • Hybrid intelligent information systems for big data analytics
  • Information system security in artificial intelligence
  • Information technology risk management in artificial intelligence
  • Exploring the application of artificial intelligence in information system
  • Intelligent information system impact on social life
  • Developments of data collection and algorithmic approaches


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Advances in Artificial Intelligence and Big Data Analytics for Information Systems in Social Science on or before 10/11/2022. 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:
Dr. Srikanta Patnaik.
Dr. Tao Shen.
Dr. Xilong Qu.
Dr. Yanyu Chen.
Guest Editors
International Journal of Information Systems and Supply Chain Management (IJISSCM)
Emails: patnaik_srikanta@yahoo.co.in; shentao@kmust.edu.cn; quxilong@126.com; tyler4585@zjnu.edu.cn

Special Issue On: The Road Towards Big Data Assisted Supply Chain Management

Submission Due Date
10/15/2022

Guest Editors
Fasee Ullah, University of Macau, China
Arafat Al-Dhaqm, Universiti Teknologi Malaysia, Malaysia
Masood Ahmad, Abdul Wali Khan University, Pakistan

Introduction
In the modern world, everyone is dependent on the technologies that have been developed. Worldwide there is a rapid growth in the various communication devices interacting with the Internet of things (IoT). All the devices give quality and quantity of service for most of the applications in data sensing. In a solution to this, the researchers have introduced big data. This is an enlargement of cloud computing in the data manipulation process. It takes special care on some particular segments called reliability, security and real-time prediction. Big data combines all the past data to provide a predictive approach that is reliable.

Objective
On these involvements, some technical challenges are faced: big data violates the principles of privacy. This blog invites researchers to explore various innovative ideas to separate the data as personal and confidential and take the backup or record based on the user’s information

Recommended Topics
➔ The future big data of the cloud and the supply chain
➔ The order ful fils real-time tracking in inventory predictions.
➔ Need businesses need to be capitalized on opportunities
➔ The impacts of big data analytics on their supply chain process
➔ The descriptive analytics on online analytical processing to use in big data analysis
➔ Opportunity recognition and the problems through existing processes.
➔ Predictive analytics and the strives in finding explanatory patterns using data analytics
➔ Web mining and texting in future planning trends
➔ Prescriptive analytics, including mathematical algorithms
➔ Evaluation in alternative decisions to enhance business performance
➔ Impacts on big data analytics and sustainability in supply chain management
➔ Smart cities, international journal and reviews in the applied sciences
➔ Academic research international journal: Mathematics and technology
➔ Modelling for sign language in mobile learning and research in computer science in applied sciences

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on The Road Towards Big Data Assisted Supply Chain Management on or before October 15th, 2022. 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:
Fasee Ullah
Arafat Al-Dhaqm
Masood Ahmad
Guest Editors
International Journal of Information Systems and Supply Chain Management (IJISSCM)
Email: faseekhan@ieee.org; mrarafat1@utm.my; Masood@awkum.edu.pk