Business Innovation in the Age of AI—from Management Systems to Responsible Transformation

Dear Colleagues,

Business innovation is undergoing a profound transformation driven by the rapid advancement of artificial intelligence (AI) and digital technologies. These developments are reshaping organizational structures, decision-making processes, and strategic orientations, enabling firms to reengineer their operations and improve their competitive advantage. Within this evolving landscape, business process reengineering (BPR) and management systems play a pivotal role in facilitating data-driven, intelligent, and adaptive forms of innovation.

However, as technological innovation accelerates, it becomes increasingly important to ensure that it aligns with the principles of corporate social responsibility (CSR) and sustainability. Responsible innovation calls for a holistic approach that integrates technological, social, ethical, and environmental considerations. The convergence of AI, BPR, and CSR, therefore, presents new opportunities—and challenges—for designing management systems that promote both organizational efficiency and societal well-being.

This Special Issue will advance the scientific discourse on how businesses can leverage AI and process reengineering to achieve responsible and sustainable innovation. It will explore theoretical frameworks, empirical research, and practical applications that bridge the domains of technological innovation, management systems, and corporate responsibility. The goal is to identify strategies that foster economic growth while ensuring ethical accountability, social inclusiveness, and environmental stewardship.

We invite you to submit original, unpublished articles, case studies or review papers to this Special Issue, entitled “Business Innovation in the Age of AI—from Management Systems to Responsible Transformation”, addressing the intersection of AI, management innovation, and CSR.

 Topics of interest include, but are not limited to, the following:

• Artificial intelligence as a driver of business innovation;
• Integration of AI into management systems and organizational processes;
• Business process reengineering (BPR) in the context of digital transformation;
• Responsible and ethical AI for sustainable business practices;
• Corporate social responsibility in AI-enabled enterprises;
• Alignment of AI and CSR strategies for long-term sustainability;
• Governance and accountability in data-driven organizations;
• Measuring the impact of AI-driven innovation on environmental and social outcomes;
• Dynamic capabilities and organizational learning for responsible innovation;
• Future directions of intelligent and sustainable management systems.

By exploring these areas, this Special Issue will provide us with a comprehensive understanding of how technological and social innovation can be jointly mobilized to shape the next generation of sustainable, ethical, and resilient business practices.

We look forward to receiving your valuable contributions.

Dr. Andrea Tick
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence (AI)
• business process reengineering (BPR)
• corporate social responsibility (CSR)
• business innovation
• management systems
• sustainable development
• responsible innovation