Vinit Parida’s research while affiliated with University of Vaasa and other places

... C1 means to rethink, in industrial ecosystems' production processes, more sustainable value and supply chains through value cocreation mechanisms with different stakeholders [147], with specific attention to non-traditional ones (i.e., civil society). ...

Reference:

A New Research Agenda For Human-Centric Manufacturing: A Systematic Literature Review

... This study supports the concept that product innovation is a key element in competitive strategies, especially in highly dynamic and consumer-oriented industries. For example, Peretz-Andersson et al. (2024) and Malik et al. (2024) emphasize that the ability to develop new products and adopt innovative technologies is the main determining factor in creating competitive advantage. These findings expand the theoretical understanding of the role of innovation in SMEs, particularly in the footwear sector, by confirming that product innovation is not just about meeting current market needs but also about driving change and creating new trends. ...

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Enhancing competitiveness of Muslim clothing SMEs through entrepreneurial orientation and product innovation

... This means that information technology alignment is not a necessary condition to enhance or weaken the indirect effect of SEOLM between agile practices and SCP. Previous studies have suggested that, while information technology can be a vital component in driving sustainable production and consumption, (Lovarelli et al., 2024;Rabetino et al., 2024) its alignment with agile approaches does not necessarily enhance the effectiveness of SEOLM in fostering SCP in the F&H industry. ...

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Zero waste solutions in hospitality: technology alignment and agile management practices for responsible consumption and production of food

... High-tech R&D uses modern technologies like AI to innovate and address complicated issues across sectors [26,27]. AI-powered innovations use AI to improve processes, goods, and services, improving efficiency, effectiveness, and value generation for enterprises and their consumers [28]. This review will focus on how high-tech fields conceptualize and implement AI-powered breakthroughs. ...

Reference:

AI-Powered Innovations in High-Tech Research and Development: From Theory to Practice

... By involving and coordinating other key players in the ecosystem, the orchestrator needs to determine how to put together the pieces of this puzzle in order to maximize the efficiency and productivity of the whole ecosystem (Chen et al., 2023;Kohtamäki et al., 2019). Ultimately, this will result in the co-creation of digital services and solutions that will optimize business processes within all industrial firms and their customers in order to generate sustainable benefits for all parties (Kolagar et al., 2024;Sjödin et al., 2023). Aside from that, as it can be seen within the framework, the flowchart does not have an "end" point, suggesting that the fifth phase encompasses a continuous evaluation process. ...

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Orchestrating the ecosystem for data‐driven digital services and solutions: A multi‐level framework for the realization of sustainable industry

... This trust in the platform's capabilities influences users' intentions to engage further, whether it involves making bookings, exploring destination content, or utilizing additional services. Conversely, if users perceive an e-tourism platform as lacking in usefulness or failing to deliver value, it can erode trust in the platform's reliability and integrity (Alharmoodi et al., 2024). This lack of trust may lead users to reconsider their intentions to continue using the platform or to seek alternative solutions for their travel-related needs. ...

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Enhancing the Intention to Use E-Tourism among Tourists in the Digital Era

... That said, innovation, as an organizational learning process, frequently entails failure. Thus, the ability of SMEs to learn from failure is critical to ensure subsequent innovation success, which might influence the firms' resource allocation strategies (Deakins and Freel 1998;Koporcic et al. 2024;Shaik et al. 2023). Failure-based learning behaviors, the process through which organizations break old patterns and establish new ones (Corbett 2005), offer SMEs a mechanism to optimize resource orchestration and integration. ...

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Entrepreneurial Bricolage and Disruptive Innovation: The Joint Effect of Learning From Failure and Institutional voids

... Also, AI improves customer gratification and lessens the workload in human customer service and better customer engagement in the business (Kedi et al., 2024). AI helps in business growth through data sources to inspire new product design and business models (Madanaguli et al., 2024). AI can provide higher level tasks that can be easy to businessmen and customers can clear about any product easily . ...

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Unlocking artificial intelligence for strategic market development and business growth: innovations, opportunities, and future directions

... These elements are crucial to the development of effective ecosystem strategies. Shen et al. (2024) emphasize ecosystem orchestration as crucial for industrial firms to maintain a competitive advantage in the digital era, introducing the "Stirring Model" as a framework for effective orchestration. This model includes five interconnected practices: strategic design, which involves crafting value propositions and negotiating with partners; relational practices, focused on mapping and fostering interdependent partnerships; resource integration, managing shared resources; technological leveraging, using advanced technologies to boost connectivity and efficiency, and innovation practices, promoting continuous co-creation and problem-solving. ...

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The transformative power of artificial intelligence within innovation ecosystems: a review and a conceptual framework

... The development of such low-carbon business models may be guided by various economic policy incentives or sector-specific regulations (e.g., the land use, land use change, and forestry [LULUCF] regulation in the EU) and other types of environmental policies. 6. Carbon-smart products and lifetime extension business models are grounded in designing and manufacturing products that cause minimal lifecycle emissions due to their durability, renewability, reusability, or recyclability, thus actualizing decarbonization by harnessing CE principles (Bonsu, 2020;Chirumalla et al., 2024;Guo et al., 2024). These business models encompass the production and sale of products that can mitigate emissions during and after their use, as well as related services. ...

Reference:

Low-carbon business models: Review and typology