Vol. No. 16, Issue No. 8, August 2026
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New Books

Ebook: BD474
The business model cycle : A dynamic and user-cent
By Sophia von Berg

Ebook: BD475
Change and Execute : How to Transform and Design Y
By Kevin E. Phillips

Ebook: BD476
Strategy Design Innovation : How to Create Busines
By Robert G. Wittmann, Michael Jünger, Matthias P. R
Click Here to learn about the Recent Books added to our collection on different topics of Management.


Articles
User-Centric Development of Good Delivery Applications Using Design Thinking and Business Model Canvas
By Johanes Fernandes Andry; Christianto, Kevin; Purnomo, Yunianto; Liliana, Lydia. 
EAI Endorsed Transactions on Scalable Information Systems; Ghent Vol. 12, Iss. 4, (Oct 2025). DOI:10.4108/eetsis.8223


Abstract :INTRODUCTION: The development of internet technology drives companies to innovate and integrate technology into business processes. This study focuses on designing a goods delivery management application using a combination of Design Thinking and the Business Model Canvas (BMC). Design Thinking emphasizes user needs, while BMC ensures business sustainability. Through stages of empathizing, defining, ideating, and prototyping, this research maps user needs, business requirements, and application frameworks to address inefficiencies and modernize goods delivery processes, improving accuracy and operational effectiveness.
Using Artificial Intelligence (AI) Generative Technologies For Business Model Design with IDEATe Process: A Speculative Viewpoint
By Lecocq, Xavier; Warnier, Vanessa; Demil, Benoît; Plé, Loic.
 Journal of Business Models; Aalborg Vol. 12, Iss. 1, (2024): 21-35.


Abstract :Purpose: Artificial Intelligence (AI) and the more recent generative technologies are disrupting many activities related to strategy and operations within organizations. Business model design is no exception. We define business model design as an iterative process involving a combination of creativity, decisions, and tests, consisting in envisioning and creating a business model (for a brand-new activity) or a new business model (for an existing activity), to change an existing situation into a preferred one. In this paper, we discuss the potential impact of generative technologies on the business model design process, highlighting the opportunities and challenges that these technologies present and suggesting some methods for using generative technologies for business model design. Design/Methodology/Approach: We build on knowledge about business model design and on documentation from forums, social networks, and media about generative technologies. We also used generative Al platforms to test dozens of prompts related to business model design. Findings: We propose the IDEATe process for business model design and identify six major changes in the process or the outcome of business model design that generative technologies can trigger. We also discuss blind spots and risks associated with the use of generative technologies for business model design. Finally, we advance some functions of generative technologies that may support this process. Originality/Value: Instead of focusing on how generative technologies could change business models, we investigate how these technologies could impact the design of business models. We make propositions to use these technologies properly for business model design.
IT–business alignment and business model design: a moderated mediation model of organizational learning and data-driven culture
By Chen, Yao; Zhang, Liangqing; Chen, Meng; Liu, Hefu. 
Information Technology & People; West Linn Vol. 38, Iss. 2, (2025): 1017-1044. DOI:10.1108/ITP-07-2022-0533


Abstract :Drawing on the knowledge-based view, this study investigates how IT–business alignment influences business model design via organizational learning and examines the moderating role of data-driven culture in the relationship between IT–business alignment and business model design via organizational learning. Design/methodology/approach Using multi-respondent survey data collected from 597 Chinese firms, mediation and moderated mediation analyses were used to examine this study`s hypotheses. Findings The mediation test results revealed organizational learning served as a mediator between IT–business alignment and two types of business model design (i.e. novelty- and efficiency-centered). In addition, data-driven culture strengthened the indirect effects of IT–business alignment on these two types of business model design via organizational learning. Originality/value This study extends current understandings of the relationship between IT–business alignment and business model design by revealing the mediating role of organizational learning and investigating its indirect effects under various degrees of data-driven culture. As such, it contributes to the literature on the business model and IT–business alignment and provides insights for managers seeking to achieve the expected business model design.
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News
From Rankings to Ownership: The Next Frontier in India`s Innovation Strategy
By ORF Online; 28th July 2026
Innovation, deep-tech and quality manufacturing will drive India’s growth: Piyush Goyal
By DD India; 29th July 2026

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