Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 2

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
1
Content available The basis of prospective analytics in business
EN
Purpose: The goal of the paper is to analyze the main features, benefits and problems with the prospective analytics usage. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: Prescriptive analytics aims to assist businesses in making informed decisions that optimize desired outcomes or minimize undesired ones. It goes beyond predicting future outcomes and provides recommendations on the best actions to achieve desired goals while considering potential risks and uncertainties. Prescriptive analytics finds applications in various domains such as supply chain management, financial planning, healthcare, marketing, and operations management. It empowers businesses to make data-driven decisions, optimize resource allocation, enhance efficiency, and gain a competitive advantage. Considered the highest level of analytics, prescriptive analytics combines historical data, real-time information, optimization techniques, and decision models to generate actionable recommendations. Originality/value: Detailed analysis of all subjects related to the problems connected with the prospective analytics.
EN
Purpose: The goal of the paper is to analyze the main differences between the smart mobility idea implementation in Singapore and Tokyo. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: This paper analyzes the smart mobility solutions implemented in Singapore and Tokyo to improve urban transportation. Singapore and Tokyo have taken proactive measures to address transportation challenges and enhance the overall mobility experience in their respective cities. Singapore has emerged as a global leader in smart mobility, employing initiatives such as a well-connected MRT system, dedicated bus lanes, electronic road pricing, and intelligent transport systems. These measures have significantly improved transportation efficiency, reduced congestion, and promoted the use of public transport. Singapore has also embraced shared mobility options like bike-sharing and e-scooter sharing services, offering sustainable and convenient alternatives to private vehicle ownership. In contrast, Tokyo has focused on developing an integrated and efficient public transportation system. The city's extensive network of trains, subways, and buses enables seamless transfers and convenient travel across the city. Real-time information systems, multimodal integration, and sustainable initiatives have further enhanced transportation efficiency and connectivity in Tokyo. Additionally, Tokyo has prioritized pedestrian-friendly infrastructure, encouraged the use of electric vehicles, and implemented smart parking systems to alleviate congestion and support sustainable mobility. Originality/value: Detailed analysis of differences between Singapore and Tokyo in the case of smart mobility implementation.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.