Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/338803 
Erscheinungsjahr: 
2025
Quellenangabe: 
[Journal:] Businesses [ISSN:] 2673-7116 [Volume:] 5 [Issue:] 2 [Article No.:] 20 [Year:] 2025 [Pages:] 1-25
Verlag: 
MDPI, Basel
Zusammenfassung: 
The rapid growth of the Internet of Things (IoT) presents emerging economies with an invaluable opportunity to reshape their market standings and reach a competitive advantage. Nonetheless, the acquisition and development of IoT technologies poses significant challenges for businesses in these areas. This study explores the factors affecting IoT technology acquisition and advancement by smart mobility businesses in this market. Through a review of literature and case studies, the research identifies key strategies and their characteristics. We focus on critical factors such as infrastructure constraints, technology acquisition, regulatory frameworks, business structures, and strategic alliances by analyzing related startups engaged in IoT products and services, each with distinct features. Additionally, this research utilizes the Capability Maturity Model to evaluate and enhance technological capabilities and business processes according to their readiness levels. Based on the results obtained, we emphasize the necessity of approaches tailored to specific needs and obstacles. Employing a mixed-methods approach, including conceptual studies, thematic analysis, interviews, questionnaires, and advanced machine learning techniques, the study sheds light on the strategic decisions, technological trends, and achievements of IoT-focused businesses. Therefore, it underscores the importance of recognizing technological trends and the pivotal role of data-driven analytics in strategic decision-making for technology adoption.
Schlagwörter: 
capability maturity model (CMM)
emerging economy markets
internet of things (IoT)
startup businesses
technology acquisition
technology readiness level (TRL)
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by Logo
Dokumentart: 
Article
Erscheint in der Sammlung:

Datei(en):
Datei
Größe
4.66 MB





Publikationen in EconStor sind urheberrechtlich geschützt.