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Call for papers

22 August 2022

Special Issue on: Theme: Global Move towards UN2030 & COP26 Targets: The role of Green Growth & Energy

Managing Guest Editor:

Arshian Sharif

Department of Economics & Finance

Sunway University

Kuala Lumpur, Malaysia

Email: [email protected]

[email protected]

Guest Editors:

López Cabarcos, M. Ángeles

Universidad de Santiago de Compostela

Facultad de ADE


[email protected]

Sharbani Saha

Lincoln Business School

Lincoln University

United Kingdom

Email: [email protected]

Asif Razzaq

School of Economics and Management,

Dalian University of Technology,


Email: [email protected]

The sustainable development goal (SDGs) form the core of the 2030 agenda to achieve the end of poverty, Prosperity, and the protection of the earth. These goals balanced the social, economic and environmental dimensions of sustainable development. Economic growth is crucial and the critical element of sustainable development. The green growth concept supports the development of green industries, jobs and technologies whilst allowing for a smooth transition into a green economy. Similarly, the energy efficiency also plays an important role as a catalyst for sustainable development in the world's industrialised countries. Therefore, economists and policymakers are now significantly focusing on green energy efficiency and green growth-related to sustainable development goals and targets. For instance, the sustainable development goal (SDG) 7 aims to ensure universal access to affordable, reliable, sustainable and modern sources of energy. Whereas SDG 13 encourage the countries to integrate adaptation strategies (prevention, protection and response measures) to combat climate change. SDG 7 is crucial to attaining other SDGs of human well-being, economic growth, and environmental sustainability.

Green growth is an efficient strategy of investment in natural capital to attain ecological sustainability as per the 2030 Agenda of sustainable development without ignoring the total value and essential role of biodiversity in economic growth. In line with the aspirational guidelines of UN Climate Change Conference COP26 for the full implementation of the Paris Agreement and to meet the challenges specifically related to economic growth and development, a new emerged approach of green growth has reframed the conventional growth model without compromising the other sustainable development goals. The new green growth model provides cost-effective and resource-efficient sustainable guidance for production and consumption. According to OECD "green growth means fostering economic growth and development while ensuring that the natural assets continue to provide the resources and environmental services on which our well-being relies". Most countries are now scaling up the substantial changes in investment decisions to meet the economic growth demanded resources.

Green growth is about reconciling and reinforcing various aspects of economic, environmental and social policies. It considers the total value of natural capital as a factor of production and its role in growth. It focuses on cost-effective ways of attenuating environmental pressures to effect a transition towards new patterns of development that will avoid crossing critical local, regional and global environmental thresholds. Moreover, being an innovative investment drive, the green growth approach achieves a number of real-time objectives such as curbing greenhouse gas emissions, improving natural risk management, building resilience to the long term and extreme changes of climate, improving resources efficiency, encouraging green industries, grow employment opportunities, and manage structural changing related to the green economy transition.

Green growth depends on the policy and institutional settings, level of development, resource endowments and eco-innovations. Greening the growth path of an economy depends on the policy and institutional settings, level of development, social structures, resource endowments and particular environmental pressure points. Advanced, emerging, and developing countries face different natures of challenges to move toward the green economy transition and management of resources. However, in all cases green growth strategies need to go hand-in-hand with the main pillars of action to promote social equity: more intensive human capital investment, inclusive employment promotion, and well-designed tax/transfer redistribution policies.

This special issue aims to promote outstanding research concerning all aspects related to the improvement of green energy efficiency, green growth and sustainable development goals.

This call for special issues welcomes submissions in the following areas:

  • Green economy and sustainable development goals.
  • Business strategies to support the low carbon emission
  • Investment in sustainable green economic projects
  • Green innovation and energy efficiency
  • Eco-technology and green energy
  • Green economy growth challenges of developing countries
  • Efficient energy resources and economic growth
  • Green Energy research and development for SGDs
  • Substitution impact of Clean energy on fossil fuel consumption
  • Financing innovations for the green energy transition.
  • Government incentives and green energy innovations.
  • Green energy and environmental health.
  • Green energy and sustainable growth.
  • Green finance, technology and investments for green economy transition
  • Economic aspects of adaptation and mitigation to climate change
  • Sustainable consumption and production
  • Regulatory framework and institutional setup toward Green Economy
  • Modelling energy efficiency improvement in manufacturing
  • Energy management systems and their contribution to sustainable development

Possible contributors:

· Researchers and scholars with expertise and interest in the ecological and environmental sciences.

· Researchers and scholars with expertise and interest in the novel research methods in green energy transition.

· Researchers are interested in the role of green energy and resources.

· Scholars focused on resources and environmental management

· Stakeholders with research interested in the management of climate change issues.

· Scholars that are interested in public policy.

· Stakeholders in local, national, and supranational energy economic organizations.

· Scholars interested in social policy.

· Special interest groups & NGOs, interested in social, ecological and environmental issues.

· Researchers are working in think tanks and organizations interested in strategic policymaking.

Process for reviewing papers:

The selected high-quality research paper submitted and will be considered for publication in “Journal of Innovation & Knowledge”. After the initial screening by the guest editors, the submissions will go through a rigorous double-blind review process. On the compilations of referee reports the editors will make the final decision. The submissions which are found to be internationally excellent in terms of originality, significance and rigor will be considered for publication.


Submission Start Date: 1st September 2022

Submission Deadline: 28th February 2023

Acceptance Deadline: 31st May 2023

4 January 2022

The Fifth Industrial and Technological Revolutions: Dancing of Humans and Machines

Guest Editor:

Dr. Abbas Mardani, University of South Florida, United States,

Background and Motivation

The revolution of Industry 4.0 commenced in 2011 by the German Government at the Hannover Fair by describing the fourth step of the Industrial Revolution through improving the use of communication and information technology in the manufacturing sector (Ustundag and Cevikcan, 2017). The key features of this movement were the high level of automation by automated govern machines and the extensive popularity of big data and cloud technology (Paschek et al., 2019). Industry 4.0 covered lots of new concepts, e.g., digitalization, standardization, miniaturization, automation, dynamic and secure networks, incremental mechanization, and general innovation (Ustundag and Cevikcan, 2017). Industry 4.0 transformed the industry sector by relying on the development of technologies such as Artificial Intelligence (AI) (Bécue et al., 2021; Huang and Chueh, 2021; Lakshmi and Bahli, 2020), Internet of Things (IoT) (Cui et al., 2021; Koohang et al., 2022; Wu et al., 2022), Data Analytics (Hensel et al., 2021; Hsu and Tang, 2020; Mačiulienė and Skaržauskienė, 2020), 3D printing (Darwish et al., 2021; Jandyal et al., 2022), Robotics (Ballestar et al., 2021; Lakshmi and Bahli, 2020), Cloud technology (Bullini Orlandi et al., 2019; Skare and Riberio Soriano, 2021), and Blockchain technology (Aslam et al., 2021; Chin et al., 2021; Friedman and Ormiston, 2022; Wang et al., 2021).

However, developments that have occurred rapidly to state-of-the-art technologies, particularly the technologies that engage robots, always attract human beings’ attention, which injects high levels of quality into manufacturing processes (Pathak et al., 2019). Many studies in recent years have concentrated on how to eliminate or at least reduce the dangerous, dull, and dirty jobs that must be done only by human beings. Though lots of firms and organizations are still making their efforts to digitalize their businesses in a way well to attain competitive advantages of Industry 4.0 (Ding et al., 2021; Fallahpour et al., 2021), for example, process automation and scalability, thereby enhancing productivity and efficiency and supporting flexibility and agility in a way to provide better experiences for customers and higher revenues and profitability for manufacturers (Moran, 2018). In spite of the ongoing transformation occurred by digitalization in the context of Industry 4.0, a number of entrepreneurs are viewing the future and do not see the business processes and companies as they currently are, but they see them as they could be with the future industry, i.e., the 5th Industrial and Technological Revolution (Carayannis et al., 2021; Maddikunta et al., 2021; Thakur and Kumar Sehgal, 2021). The industry seems to be unceasingly reincarnated from mass production and customized production into mass personalization objectives in a way not only to accomplish customers’ responsiveness but also to attain cost-effectiveness. This concept elucidates the 5th Industrial and Technological Revolutions. According to Østergaard (2018) (the Universal Robots Chief Technology Officer), the next Industrial Revolution is characterized by the consumers’ demands and the individualization of new products. It involves close collaboration among individuals and artificial intelligence that could be embedded in IoT-enabled devices (Aslam et al., 2020; Özdemir and Hekim, 2018). The 5th revolution restricts the advantages obtained by the 4th one and brings human beings back into the fiscal point of the picture (Demir et al., 2019; Nahavandi, 2019). The 5th revolution requires highly-skilled individuals and robots to work together to generate personalized products, services, and experiences. The current special issue is mainly aimed at collecting survey and review papers regarding the 5th Industrial and Technological Revolutions in such a way that an overview of the core dimensions of the 5th Industrial and Technological Revolutions could be provided, determining the most important factors that can for interrelations for the achievement of this goal: integrating human touch with technology.

Although the 5th revolution is still in its infancy, many firms and organizations are making their efforts to engage with this new movement sooner so that they can find a place in the market ahead of their rivals. As a result, the knowledge in regard to the 5th Industrial and Technological Revolution is synthesized to determine further research agenda carefully. Thus, this new revolution will enhance collaborations between humans and smart systems such as robots, particularly in the context of manufacturing. The concept of the 5th Industrial and Technological Revolution has gradually entered all aspects of people’s lives, particularly the aspects such as sustainable development, blockchain technology, supply chain management, circular economy, machine learning, artificial intelligence, industrial economy, knowledge management, innovation management, and operations management. As a result, this call mainly focuses on the future development of all industry aspects and how they could be well adapted to human society. As two Industrial Revolutions are currently co-existent, some questions have arisen in the literature, which is mostly rooted in the scientific community and the industry.

Topics and Research Objectives

The aims and scopes of this call for submissions are as follows:

To discuss the opportunities and challenges presented by the 5th Industrial and Technological Revolutions

To provide an overview of the future development prospects of the 5th Industrial and Technological Revolutions

Suggested topics for the special issue include, but are not limited to, the following:

  • Innovation and knowledge issues in 5th Industrial and Technological Revolutions
  • 5th Industrial and Technological Revolutions and supply chain management (SCM)
  • 5th Industrial and Technological Revolutions and sustainable development (SD)
  • 5th Industrial and Technological Revolutions and circular economy (CE)
  • 5th Industrial and Technological Revolutions and Internet of Things (IoT)
  • 5th Industrial and Technological Revolutions and the blockchain technology (BT)
  • 5th Industrial and Technological Revolutions and entrepreneurship
  • 5th Industrial and Technological Revolutions and artificial intelligence (AI)
  • 5th Industrial and Technological Revolutions and machine learning (ML)
  • 5th Industrial and Technological Revolutions and artificial intelligence (AI)
  • 5th Industrial and Technological Revolutions and digital manufacturing (DM)
  • 5th Industrial and Technological Revolutions and big data (BD)
  • 5th Industrial and Technological Revolutions and innovation management (IM)
  • 5th Industrial and Technological Revolutions and transportation
  • 5th Industrial and Technological Revolutions and knowledge management (KM)
  • 5th Industrial and Technological Revolutions and sociotechnical challenges
  • 5th Industrial and Technological Revolutions and operations management (OM)
  • 5th Industrial and Technological Revolutions and industrial economy (IE)
  • 5th Industrial and Technological Revolutions in small and medium-sized enterprises (SMEs)

Submission deadline: December 31st, 2022

Instructions for authors:https://www.elsevier.es/en-revista-journal-of-innovation-knowledge-376-normas-publicacion

Publication: This is a VSI; accepted papers will be published online immediately once accepted and will be included in the next available issue of the journal.


Aslam, F., Aimin, W., Li, M., Ur Rehman, K., 2020. Innovation in the Era of IoT and Industry 5.0: Absolute Innovation Management (AIM) Framework. 11, 124.

Aslam, J., Saleem, A., Khan, N.T., Kim, Y.B., 2021. Factors influencing blockchain adoption in supply chain management practices: A study based on the oil industry. Journal of Innovation & Knowledge 6, 124-134.

Ballestar, M.T., Camiña, E., Díaz-Chao, Á., Torrent-Sellens, J., 2021. Productivity and employment effects of digital complementarities. Journal of Innovation & Knowledge 6, 177-190.

Bécue, A., Praça, I., Gama, J., 2021. Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities. Artificial Intelligence Review 54, 3849-3886.

Bullini Orlandi, L., Ricciardi, F., Rossignoli, C., De Marco, M., 2019. Scholarly work in the Internet age: Co-evolving technologies, institutions and workflows. Journal of Innovation & Knowledge 4, 55-61.

Carayannis, E.G., Draper, J., Bhaneja, B., 2021. Towards Fusion Energy in the Industry 5.0 and Society 5.0 Context: Call for a Global Commission for Urgent Action on Fusion Energy. Journal of the Knowledge Economy 12, 1891-1904.

Chin, T., Wang, W., Yang, M., Duan, Y., Chen, Y., 2021. The moderating effect of managerial discretion on blockchain technology and the firms’ innovation quality: Evidence from Chinese manufacturing firms. International Journal of Production Economics 240, 108219.

Cui, Y., Liu, W., Rani, P., Alrasheedi, M., 2021. Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector. Technological Forecasting and Social Change 171, 120951.

Darwish, L.R., El-Wakad, M.T., Farag, M.M., 2021. Towards sustainable industry 4.0: A green real-time IIoT multitask scheduling architecture for distributed 3D printing services. Journal of Manufacturing Systems 61, 196-209.

Demir, K.A., Döven, G., Sezen, B., 2019. Industry 5.0 and Human-Robot Co-working. Procedia Computer Science 158, 688-695.

Ding, B., Ferràs Hernández, X., Agell Jané, N., 2021. Combining lean and agile manufacturing competitive advantages through Industry 4.0 technologies: an integrative approach. Production Planning & Control, 1-17.

Fallahpour, A., Yazdani, M., Mohammed, A., Wong, K.Y., 2021. Green sourcing in the era of industry 4.0: towards green and digitalized competitive advantages. Industrial Management & Data Systems 121, 1997-2025.

Friedman, N., Ormiston, J., 2022. Blockchain as a sustainability-oriented innovation?: Opportunities for and resistance to Blockchain technology as a driver of sustainability in global food supply chains. Technological Forecasting and Social Change 175, 121403.

Hensel, R., Visser, R., Overdiek, A., Sjoer, E., 2021. A small independent retailer's performance: Influenced by innovative strategic decision-making skills? Journal of Innovation & Knowledge 6, 280-289.

Hsu, T.-H., Tang, J.-W., 2020. Development of hierarchical structure and analytical model of key factors for mobile app stickiness. Journal of Innovation & Knowledge 5, 68-79.

Huang, D.-H., Chueh, H.-E., 2021. Chatbot usage intention analysis: Veterinary consultation. Journal of Innovation & Knowledge 6, 135-144.

Jandyal, A., Chaturvedi, I., Wazir, I., Raina, A., Ul Haq, M.I., 2022. 3D printing – A review of processes, materials and applications in industry 4.0. Sustainable Operations and Computers 3, 33-42.

Koohang, A., Sargent, C.S., Nord, J.H., Paliszkiewicz, J., 2022. Internet of Things (IoT): From awareness to continued use. International Journal of Information Management 62, 102442.

Lakshmi, V., Bahli, B., 2020. Understanding the robotization landscape transformation: A centering resonance analysis. Journal of Innovation & Knowledge 5, 59-67.

Mačiulienė, M., Skaržauskienė, A., 2020. Building the capacities of civic tech communities through digital data analytics. Journal of Innovation & Knowledge 5, 244-250.

Maddikunta, P.K.R., Pham, Q.-V., B, P., Deepa, N., Dev, K., Gadekallu, T.R., Ruby, R., Liyanage, M., 2021. Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 100257.

Moran, K., 2018. Benefits of Industry 4.0. SL Controls https://slcontrols.com/en/benefits-of-industry-4-0/.

Nahavandi, S., 2019. Industry 5.0—A Human-Centric Solution. 11, 4371.

Østergaard, E.H., 2018. Welcome to industry 5.0. Universal Robots at universal-robots.com 5, 2020.

Özdemir, V., Hekim, N., 2018. Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “The Internet of Things” and Next-Generation Technology Policy. OMICS: A Journal of Integrative Biology 22, 65-76.

Paschek, D., Mocan, A., Draghici, A., 2019. Industry 5.0-The expected impact of next Industrial Revolution, Thriving on Future Education, Industry, Business, and Society, Proceedings of the MakeLearn and TIIM International Conference, Piran, Slovenia, pp. 15-17.

Pathak, P., Pal, P.R., Shrivastava, M., Ora, P.J.I.J.o.E., Technology, A., 2019. Fifth revolution: Applied AI & human intelligence with cyber physical systems. 8, 23-27.

Skare, M., Riberio Soriano, D., 2021. How globalization is changing digital technology adoption: An international perspective. Journal of Innovation & Knowledge 6, 222-233.

Thakur, P., Kumar Sehgal, V., 2021. Emerging architecture for heterogeneous smart cyber-physical systems for industry 5.0. Computers & Industrial Engineering 162, 107750.

Ustundag, A., Cevikcan, E., 2017. Industry 4.0: managing the digital transformation. Springer.

Wang, Y.-Y., Tao, F., Wang, J., 2021. Information disclosure and blockchain technology adoption strategy for competing platforms. Information & Management, 103506.

Wu, L., Lu, W., Xue, F., Li, X., Zhao, R., Tang, M., 2022. Linking permissioned blockchain to Internet of Things (IoT)-BIM platform for off-site production management in modular construction. Computers in Industry 135, 103573.

2 November 2021

Knowledge Innovation: information and production driven by digital economy

Short title (VSI): KIIP

Guest Editors:

Bing Xu

Zhejiang Association of Quantitative Economics, China

[email protected]

Juying Zeng

Zhejiang University of Finance & Economics, China

[email protected]

Junzo Watada

Waseda University, Japan

[email protected]

Background and Motivation

Digital economy, is an economy which operates predominantly with the help of digital technology. It implies the global network of economic activities, processes, transactions and interactions among, people, businesses, devices, etc. which is supported by Information and Communication Technology (ICT). Digital economy has emerged substantially and provides significant contributions in accelerating Economic Growth, expanding business opportunities, improving public services, rising e-commerce, realizing digital delivery of goods and services.

In fact, digital transformation facilitates the dissemination of information and good practices using Big Data. The information, innovation and knowledge accumulation has emerged to be vital production elements in digital economy. Innovation is a multidimensional concept, which involves organizational and procedural aspects of a company, aimed at improving performance in terms of production efficiency, and/or reducing production costs (Schumpeter, 2000). Knowledge in a broad sense to encompass knowledge, information, expertise, and skills. In particular, combining knowledge from an organization’s mature existing knowledge base with new, external knowledge has the potential for radical innovations that are hard for competitors to imitate (Preston et al., 2009).

Using Big Data (Schwertner, 2017), encourages the acquisition and exchange of knowledge between the company and the external environment (Scuotto, Santoro, Bresciani, & Del Giudice, 2017). Big Data, understood as large data sets containing a heterogeneity of information (Rialti et al., 2019), allows companies to collect, manage and preserve rich digital content for the long term (Candela et al., 2007). In addition, knowing the status of processes and resources through more modern and sophisticated analysis systems, and detecting the degree of interrelationships between the information contained in the database generates a competitive advantage for the company (Ferraris, Mazzoleni, Devalle, & Couturier, 2019). Therefore, innovation is also configured as a governance issue, which influences the business model, pushing entrepreneurs to develop intervention strategies capable of satisfying the contingencies of an increasingly globalized and liberalized market (Ghezzi & Cavallo, 2020). In particular, companies have developed specific awareness of the externalities related to the production and consumption processes. Vaio et al. (2021) investigate the literary corpus on digital innovation in knowledge management systems (KMS) to understand its role in business governance.

To sum up, the innovative knowledge dispersion in digital economy through the information and production driven paths has attracted the attention for both worldwide scholars and governors. Researches concerning the innovation and knowledge in digital economy and applying data analysis techniques are areas that require strong multidisciplinary skills and knowledge of statistics, econometrics, computer science, data mining, law, business ethics, and many other fields. To an extent, innovation and knowledge have been studied jointly as the basis of competitiveness and growth potential for digital economy. The Innovation & Knowledge in Management Engineering, Information and Production aims to the valuable results on digital innovation management, innovation and knowledge upgrading in industrial chain management, and related areas in innovation and knowledge.

This special issue welcomes contributions from scholars in various fields to close gaps and shed light on the issues of Innovative knowledge through information and production driven paths in digital economy. Theoretical contributions, empirical investigation, theoretical reviews, and case studies on innovations that improve the quality of knowledge or that can be used to develop knowledge in digital economy are welcome. The overall objective of this special issue is to generate discussion on knowledge-related changes that introduce or encourage innovation to promote best practices within society in the context of digital era. On that basis, specific topics may include, but are not limited to, the following:

  •  Aspects of information management in learning organizations.
  • Health care (patients as well health workers and managers).
  • Business intelligence, security in organizations
  • Social interactions and community development

  • Knowledge management

  • Information design and delivery

  • Information for health care

  • Information for knowledge creation

  • Legal and regulatory issues

  • Is-enabled innovations in information

  • Content and knowledge management

  • Philosophical and methodological approaches to information management research

  • New and emerging agendas for information research and reflective accounts of professional practice

  • Economic performance, and decision making in specific industries via innovation and knowledge paths.

  • Analytical techniques of knowledge and new innovation models for entrepreneurs and governments in digital era.

  • Value creation measurement frameworks for innovation performance and knowledge accumulation.

  • Ways of efficiently applying analytical techniques to measure innovation efficiency and knowledge creation for firms and society.

  • Sustainable innovation strategies and managerial decisions in the context of digital economy.


The timeline of this special issue is as follows:

Submission start date: August 1, 2022

Deadline for submissions: January 30, 2023

Review process: On a rolling basis from August 2022 to May 2023

Possible acceptance date: Publication: This is a VSI; accepted papers will be published online immediately once accepted and will be included in the next available issue of the journal.


Candela, L., Castelli, D., Ferro, N., Ioannidis, Y., Koutrika, G., Meghini, C., & Schuldt, H. (2007). The DELOS digital library reference model. Foundations for Digital Libraries.

Ferraris, A., Mazzoleni, A., Devalle, A., & Couturier, J. (2019). Big data analytics capabilities and knowledge management: Impact on firm performance. Management Decision, 57(8), 1923–1936. https://doi.org/10.1108/MD-07-2018-0825

Ghezzi, A., & Cavallo, A. (2020). Agile business model innovation in digital entrepreneurship: Lean startup approaches. Journal of Business Research, 519–537. https://doi.org/10.1016/j.jbusres.2018.06.013

Preston, P., Kerr, A., Cawley, A. (2009).Innovation and Knowledge in the Digital Media Sector–An Information Economy Approach. Information, Communication & Society. 12(7):994-1014. DOI: 10.1080/13691180802578150

Rialti, R., Marzi, G., Ciappei, C., & Busso, D. (2019a). Big data and dynamic capabilities: A bibliometric analysis and systematic literature review. Management Decision. https://doi.org/10.1108/MD-07-2018-0821.

Schumpeter, J. A. (2000). Entrepreneurship as innovation. Entrepreneurship: The Social Science View, 51–75.

Schwertner, K. (2017). Digital transformation of business. Trakia Journal of Sciences, 15 (1), 388–393. https://doi.org/10.15547/tjs.2017.s.01.065

Scuotto, V., Santoro, G., Bresciani, S., & Del Giudice, M. (2017). Shifting intra-and interorganizational innovation processes towards digital business: An empirical analysis of SMEs. Creativity and Innovation Management, 26(3), 247–255. https://doi.org/10.1111/caim.12221

Vaio, A., Palladino, R., Pezzi , A., Kalisz, D.(2021). The role of digital innovation in knowledge management systems: A systematic literature review[J], Journal of Business Research,123, 220-231. https://doi.org/10.1016/j.jbusres.2020.09.042.