Yeh’s Satisfaction Index Modelling of Tenants in Rental Appartments (A Case Study of Latifabad Hyderabad)

Gill, Rabia; Kalwar, Saima; Memon, Irfan Ahmed

doi:10.30537/sjcms.v4i2.654

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…Kim and Huh (2020) introduce Autochain, an expert automatic algorithm blockchain technology designed to integrate seamlessly into existing businesses within the Fourth Industrial Revolution, thereby enhancing productivity, competitiveness, and profitability. Moreover, Gill et al (2021) explore tenant satisfaction in rental apartments, highlighting the influence of amenities and services on rental pricing.…”

Section: Introduction Background Of the Studymentioning

confidence: 99%

Apartment Rental Management System for Real-Time Transaction and Task Organization

Magno,

S. Pelayo,

Soberano, Ph.D.

2024

IJMRA

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The study focuses mainly on providing Celso with an Apartment Rental Management System for Real-Time Transaction and Task Organization. The system is a solution to the issue of inaccurate and disorganized data management within Celso’s apartment complexes. To address this challenge, the Apartment Rental Management System for Real-Time Transaction and Task Organization is designed to cater specifically to the needs of lessors, offering a comprehensive system. By implementing the Apartment Rental Management System for Real-Time Transaction and Task Organization, this study seeks to alleviate conflicts between lessors and how to manage the properties while concurrently enhancing the efficiency of property management operations. The researchers will use the developmental method of research and the Rapid Application Development Approach Model as the Software Development Life Cycle (SDLC). The implementation of the system was successful and generated a positive outcome. Therefore, the lessors, and property managers of the Celso Apartment, consider and accept the implementation of the developed system as a promising solution to the multifaceted challenges encountered in apartment rental management.

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Section: Introduction Background Of the Studymentioning

confidence: 99%