Literature Review of Emerging IT Innovation Research—Synthesizing Knowledge Across Business Sectors

Introduction:

This special issue presents literature reviews that critically explore the expansive role of emerging information technology (IT) innovation in transforming operations, enhancing decision-making, and shaping strategic planning across various business sectors. It aims to provide comprehensive insights into the transformative power of information systems, the emerging challenges and opportunities of IT innovation, as well as the strategic implications of data analytics in diverse business environments.

Literature reviews are an essential secondary research technique that synthesizes existing knowledge, offering scholarly overviews on specific topics. This special issue aims to harness this method to deepen our understanding of how recent advances in IT are fundamentally altering business landscapes.

Data Science and Management (DSM) invites submissions for a special issue on literature reviews that critically explore the expansive role of emerging information technology (IT) innovation in transforming operations, enhancing decision-making, and shaping strategic planning across various business sectors. It aims to provide comprehensive insights into the transformative power of information systems, the emerging challenges and opportunities of IT innovation, as well as the strategic implications of data analytics in diverse business environments.

Literature reviews are an essential secondary research technique that synthesizes existing knowledge, offering scholarly overviews on specific topics. This special issue aims to harness this method to deepen our understanding of how recent advances in IT are fundamentally altering business landscapes. The review issue aims to fulfill the following objectives:

• To examine the integration of IT innovation across various business sectors, assessing its impact on enhancing operational efficiencies, optimizing strategic decision-making, and transforming traditional business models.
• To discuss the challenges and opportunities associated with implementing advanced information systems, such as data security, privacy concerns, and organizational adaptation.
• To provide predictive insights into future trends and potential developments in IT innovation.

Topics of interest include, but are not limited to:

• Strategic decision-making support: Submissions should synthesize literature on how information systems support strategic decision-making, including the effectiveness of decision support systems, forecasting tools, and executive information systems in facilitating high-level organizational decisions.
• Operational efficiency and automation: Reviews should integrate studies examining the role of information systems in enhancing operational efficiency and automation, focusing on Enterprise Resource Planning (ERP) systems, Supply Chain Management (SCM) systems, and the measurable outcomes of operational technologies.
• Customer and employee relationship management: Contributions could critically evaluate how IT innovation improves customer and employee relationships, incorporating reviews of Customer Relationship Management (CRM) systems, Human Resources (HR) information systems, and their impact on organizational communication and satisfaction.
• Data analytics and business intelligence: Articles should provide a comprehensive synthesis of how big data analytics and business intelligence systems impact organizational strategy and performance, highlighting key trends, challenges, and opportunities.
• Security, privacy, and ethical considerations: Submissions should review and integrate literature on the ethical, security, and privacy challenges associated with information systems, discussing contemporary issues, compliance with data protection laws, and strategies for maintaining data integrity.
• Innovation and technological adaptation: Reviews should encompass literature on how organizations adapt to technological changes through information systems, analyzing the role of IT in driving innovation and addressing the adaptation challenges faced by businesses.
• Impact on organizational culture and change management: Contributions should synthesize research on how information systems influence organizational culture and change management processes, exploring the facilitators and barriers to organizational transformation driven by IT systems.

Eligibility criteria for submissions:

• Review nature: Submissions should critically synthesize existing literature, providing a comprehensive analysis that not only outlines current implementations and outcomes but also explores theoretical frameworks and future implications.
• Potential for impact: Contributions should aim to significantly influence future research, practice, and policy, offering actionable insights and strategic guidance within the field of information systems.
• Analytical depth: Submissions to this review issue should primarily focus on critically integrating and discussing the existing literature. If utilizing meta-analyses or bibliometric analyses, these methods should be employed to quantitatively synthesize existing literature, revealing patterns, trends, and gaps, thereby providing deeper insights into the broader context of the topic. Comprehensive reviews must offer robust conclusions and recommendations based on a thorough analysis. It is important to note that standalone submissions focusing solely on meta-analysis or bibliometric analysis, without an accompanying broader literature review component, are not suitable for this review issue. Such submissions may be more appropriate as full original research papers.

Important deadline:

Submission deadlines: 31 July, 2025 

Submission instructions:

Please read the Guide for Authors before submitting. All articles should be submitted online; please select Literature review in emerging IT innovation research upon submission. Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.

Guest editors:

Jian Mou

School of Business, Pusan National University, Republic of Korea.

Email: jian.mou@pusan.ac.kr

Ying Lu

Macquarie Businee School, Macquarie University, Australia.

Email: candy.lu@mq.edu.au

Morad Benyoucef

Telfer School of Management, University of Ottawa, Canada.

Email: benyoucef@telfer.uottawa.ca