Analysing the past to prepare for the future: Writing a literature review a roadmap for release 2.0

Watson, Richard T.; Webster, Jane

doi:10.1080/12460125.2020.1798591

Cited by 262 publications

(246 citation statements)

References 26 publications

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“…The purpose of this article was therefore to evaluate the correlation between the use of AI and corporate strategy via a systematic literature review. The literature review was based on guidelines of previous systematic studies [37][38][39][40][41][42][43]73]. AI technologies have been prominently placed in contemporary organizations.…”

Section: Discussionmentioning

confidence: 99%

“…Papers have been discovered utilizing a literature review methodology including three stages, which was recommended by Webster and Watson (2002) [37], and has been recently utilized in strategic management and Information Systems research [38][39][40][41][42][43]. Initially, the current literature reviews were searched to choose the databases and keywords of the basic search.…”

Section: Methodsmentioning

confidence: 99%

“…The search was finished when it came to common papers from all databases and various combinations of keywords. Thus, it was reasoned that the critical amount of relevant literature sources had been gathered [37]. The final sample was examined utilizing an Excel data extraction sheet in which both the illustrative components and the primary results, outcomes and contributions were assembled for each paper.…”

Section: Article Selection Processmentioning

confidence: 99%

“…This article aims to implement a systematic literature review examining the correlation of AI and corporate strategy and to provide a framework for interrelated issues in line with the existing research in this field. Eighty-one peer-reviewed articles were evaluated on the basis of research methodology from Webster and Watson (2002) [37]. Given the changes that have taken place in the field of AI in previous years, the attention of leading companies of AI technologies and the obstacles associated in acquiring business value through the usage of this form of technology, it is important to establish and to contextualize the current research about the connection between AI and organizational strategy.…”

Section: Introductionmentioning

confidence: 99%

“…The principal motivation is to set up a "state-of-the-art" update by introducing a synthesis of scholarly research on AI and business strategy. This paper provides a solid theoretical background of the existing literature by analyzing papers using Webster and Watson's (2002) [37] literature review methodology. This methodology is concept-driven and it helps to analyze the different concepts and contexts studied in this paper and to more readily comprehend ongoing turns of developments.…”

Section: Introductionmentioning

confidence: 99%

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Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda

2021

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In the past decade, current literature and businesses have drawn attention to Artificial Intelligence (AI) tools and in particular to the advances in machine learning techniques. Nevertheless, while the AI technology offers great potential to solve difficulties, challenges remain implicated in practical implementation and lack of expertise in the strategic usage of AI to create business value. This paper aims to implement a systematic literature review analyzing convergence of the AI and corporate strategy and develop a theoretical model incorporating issues based on the existing research in this field. Eighty-one peer-reviewed articles were discussed on the basis of research methodology from Webster and Watson (2002). In addition to gaps in future research, a theoretical model is developed, discussing the four sources of value creation: AI and Machine Learning in organizations; alignment of AI tools and Information Technology (IT) with organizational strategy; AI, knowledge management and decision-making process; and AI, service innovation and value. These outcomes lead to both theoretical and managerial viewpoints, with extensive possibilities to generate new methods and types of management practices.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Article Selection Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda

2021

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Blockchain technology as an enabler for sustainable business ecosystems: A comprehensive roadmap for socioenvironmental and economic sustainability

Ghobakhloo,

Iranmanesh,

Mubarik

et al. 2023

Bus Strat Dev

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Blockchain technology is a core technology expected to play a highly instrumental role in competing with socioenvironmental challenges. The literature hypothesizes various blockchain functions for building a sustainable business ecosystem. This study unifies these diverse perspectives into an interpretive strategy roadmap that provides a holistic overview of how blockchain should be leveraged to deliver sustainability functions optimally. The study first identified the sustainability functions of blockchain through a content‐centric literature review. The study applied interpretive structural modeling (ISM) and drew on experts' opinions to model how and in which order blockchain delivers these sustainability functions. The study further drew on the ISM output and interpretive logic‐knowledge base to develop the promised roadmap. Results revealed that blockchain promotes a decentralized decision system that facilitates automation and real‐time information sharing (RIS) across supply chains. Blockchain introduces traceability and transparency into supply chain operations. These conditions offer monitoring of business operations and the development of trust across value‐chain stakeholders. These driver functions lead to value chain optimization and circularity integration into business and supply chain operations. When these necessary functional conditions are met, businesses can further draw on blockchain to promote economic and environmental aspects of sustainability through more complex functions enabling resource efficiency, cost reduction, pollution prevention, and higher profit margins. The order in which businesses can leverage these functions would define blockchain sustainability performance. Each function is uniquely valuable to sustainability, and none of them can be overlooked.

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Industry 4.0, innovation, and sustainable development: A systematic review and a roadmap to sustainable innovation

et al. 2021

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Despite the recent interest in the Industry 4.0 applications for sustainability, little is known on the processes through which digital transformation and Industry 4.0 technologies enable sustainable innovation in manufacturing. The present study addresses this knowledge gap by developing a strategic roadmap that explains how businesses can leverage Industry 4.0 technologies to introduce sustainability into innovative practices. For this purpose, the study conducts a systematic review of extant literature to identify Industry 4.0 functions for sustainable innovation and applies interpretive structural modeling to devise the promised roadmap. The results offer interesting insights into Industry 4.0 applications for sustainable innovation.The strategic roadmap developed reveals that Industry 4.0 enables sustainable innovation through 11 functions. Industry 4.0 and the underlying digital technologies and principles allow businesses to improve interfunctional collaboration and better integrate with internal and external stakeholders. Industry 4.0 further improves the knowledge base and advanced manufacturing competency and promotes organizational capabilities valuable to sustainable innovation such as green absorptive capacity, sustainable partnership, and sustainable innovation orientation. Through these functions, Industry 4.0 subsequently enhances green process innovation capacity and the ability to develop or reintroduce eco-friendly products economically and competitively. Overall, the roadmap explains the complex precedence relationships among the 11 sustainable innovation functions of Industry 4.0, offering important implications for businesses that seek to leverage Industry 4.0 sustainability implications and manage sustainable development.

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Analysing the past to prepare for the future: Writing a literature review a roadmap for release 2.0

Cited by 262 publications

References 26 publications

Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda

Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda

Blockchain technology as an enabler for sustainable business ecosystems: A comprehensive roadmap for socioenvironmental and economic sustainability

Industry 4.0, innovation, and sustainable development: A systematic review and a roadmap to sustainable innovation

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