Modelling the relationship between perceived value, customer satisfaction, and customer loyalty in Youth Hostel

Modelling the relationship between perceived value, customer satisfaction, and customer loyalty in Youth Hostel

With the popularity of youth hostels, this paper explores the factors affecting customer satisfaction and loyalty to youth hostels with path modelling. This study aims at investigating customer perceived value with a multi-dimensional structure of five dimensions, and then further analyze the relationship among youth hostel perceived value, youth hotels satisfaction and youth hotels loyalty. Results indicate that aesthetic, hedonic and location dimensions have a significant direct positive impact on customer satisfaction, while price and prestige are not important factors affecting customer satisfaction. Moreover, customer satisfaction was found that it had a directly relationship with customer loyalty. The result also suggested that the managers of youth hostels can manage their hotel according to the five dimensions of perceived value provided in this paper.Keywords—Youth Hostel;multi dimensions of customer perceived value; satisfaction with Youth Hostel;loyalty to Youth Hostel

Women Security with SMS Alert based Android App

Digital Gram Panchayath Services based Android App

Android app for Finding Lost Debit Card Security Based Android App

Exam And Hall Ticket Management Application System based android app

Android Farmers Agriculture using E-Digital Marketing Shop

Toll Gate App For Android Based Payment based android app

Android App for Student Attendance System

Android App for College Management System

ebanking App to Manage Account And Transfer

Grocery Shopping Android App

Android Courier Management System Using SMS Alert

E-Commerce on-line Catering Reserving and Ordering System Based on Mobile Intelligent Terminal

E-Commerce on-line Catering Reserving and Ordering System Based on Mobile Intelligent Terminal  

In order to improve the operational efficiency of restaurant and catering enterprises by using modern information technology, this paper develops an E-commerce on-line catering reserving and ordering system based on mobile intelligent terminal, which is based on Android platform. The system integrates with wireless communications, artificial intelligence, and database technologies and achieves many functions, such as reserving, ordering, evaluation, recommending, restaurants navigation, scheduling, information displaying, and ordering records management, etc. The system has realized customer­focused, personalized, and high quality catering reserving and ordering service and has been used in several restaurant in Beijing

Electric Vehicle Recharge to find Nearest Bunk

White Card Manage all card into one (Driving license, Pan Card, Voter Id, Ration Card) Android App

Location Based Garbage Management System for Smart City based android app

A Food Wastage Reduction Android Application based android app

OnRoad Vehicle Breakdown Help Assistance Based Android App

Android Hospital Management System for Doctor and Patient

Digital Vehicle - License, Insurance And RC Book Tracing For Police based android app

evoting Android App Using OTP and Photo Matching Voting system

Android app for Online Examination and Results System

Online Complaint Registration and Management system (street light, water pipe leakage, rain water drainage, road)

eCrime Identification Using Face Matching Based Mobile App

A Hidden Markov Model and Internet of Things Hybrid Based Smart Women Safety

A Hidden Markov Model and Internet of Things Hybrid Based Smart Women Safety 

Abstract—Smart technologies for women safety are gaining popularity over the last few decades. Several nefarious approaches to women that outraged the entire nation awakened the scientists globally to design smart apps for women safety. This paper proposes a concept of a multivariate security paradigm for women under possible offensive threats by deep sensing approaches. Internet of Things (IOT) based platform provides dexterity and dynamicity in correlating a plethora of sensors and actuators to ensure women safety. Hidden Markov Models (HMM) offer scope for better predictive analysis for its dynamic probabilistic nature and helped us developing a dense sensing approach based on traces of suspicious activities. There is a situation-based analysis for relative modelling based on face recognition as well as fuzzy labeling of verbal conversations. https://codeshoppy.com/shop/product/women-security-app/ If an emergency situation is triggered, a GSM/GPS module will generate emergency in case of after-shock otherwise will warn the female device bearer. The results of experimentations proved to be really promising with an accuracy of 94.7%.Keywords-Internet of Things, Hidden Markov Models, Smart Women Safety, GSM/GPS module, fuzzy.

INTRODUCTION 

The concept of equality in a global society often faces a challenge when it comes to female population for unavoidable male dominated behaviors. Various circumstances have triggered the necessity to ensure women security and protection. According to the statistics of National Crime Records Bureau, the highest rate of women harassment increased by 65% over last two years [1] and reached 37% in the last decade. Most of the existing researches have complex alert systems which are to be activated by some input from the victim, like, pressing an SOS button [2], [3] or shouts [4]. Practically, often the victims cannot realize they are befooled by an unscrupulous company or when they are under threat, they are not left with enough chances to hit a button or shout in the top of their lungs. Internet of Things (IOT) based researches gained popularity over the last few decades for offering an agile paradigm to manage quite a large number of devices from a singular master control [5]. Still, most of the works are restricted in designing fancy luxurious smart residences [6]. 

On the other hand, Hidden Markov Model is a hotcake nowadays but offer limited applications in gesture [7] and handwriting recognitions [8]. Recently, a work on adaptive learning based IOT-HMM hybrid oriented smart healthcare gained popularity based on its vast scope of dynamic applications [9]. Large scale wearables are developed recently [10] but there is a major problem of synchronicity in the discrete modules of the children safety paradigm. Biometrics based identification of danger is a better option [11] but it has overlooked the common flaw of practical applications and mishandling of the scheme can lead criminals to mimic the patterns and harass their target quite easily. This paper proposes a multivariate security paradigm to protect female population from possible criminal activities which may affect their security and safety. HMM can be simply understood as a doubly stochastic Bayesian Network [12] which provides a deep sensing approach for predicting possible insecurities based on minimal training data. A HMM-IOT hybrid triggers the predictive and analytical modules of the security paradigm. A plethora of sensors are logically managed by the IOT platform and a scheme of pre-shock and after-shock is developed. 

If an acquittance plans or decides to make nefarious approach the HMM module plugs in and alerts the female detector bearer. If there is a sudden approach in an unexpected scenario a forty seconds fast track prediction mode of the HMM-IOT hybrid turns on the emergency module and the GSM/GPS couple updates location and activates emergency request to pre-assigned contacts, medics and nearest police stations. Rest of the paper is organized as follows.