Parasocial relationship influence on the upcycled fashion purchase intention among igeneration in Malaysia post-Covid-19: an empirical study

The coronavirus disease (COVID-19) pandemic has impacted the pursuit of sustainable development in various ways. Current consumer trends suggest an increased awareness of sustainable consumption or fashion consumption. Past studies have focused more on general concepts of sustainable fashion consumption (SFC), including environmental, ethical, second-hand, and recycling while neglecting upcycling fashion. Therefore, the study investigated the Malaysian iGeneration purchase intention of upcycled fashion products postCOVID-19. The study extended the moderating role of parasocial relationship based on the Theory Planned Behaviour (TPB). A quantitative online survey was conducted among 230 respondents from IGeneration between 10 to 25 years old in Malaysia. The hypotheses were tested using Partial Least Squares Structural Equation Modelling (PLS-SEM). The study outcomes exhibited empirical support for the proposed research model. Two out of six hypothesized relationships were accepted. Specifically, subjective norm was positively linked to the purchase intention of upcycled fashion products. Meanwhile, parasocial relationship moderated subjective norm and purchase intention. The study provided insights into the application of TPB-based framework and enhanced knowledge of fashion industry players, educators and communities

Evaluation Method Of Mesh Protocol Over ESP32 And ESP8266

Internet of Things (IoT) is one of the newest matters in both industry and academia of the communication engineering world. On the other hand, wireless mesh networks, a network topology that has been debate for decades that haven’t been put into use in great scale, can make a transformation when it arises to the network in the IoT world nowadays. A Mesh IoT network is a local network architecture in which linked devices cooperate and route data using a specified protocol. Typically, IoT devices exchange sensor data by connecting to an IoT gateway. However, there are certain limitations if it involves to large number of sensors and the data that should be received is difficult to analyze. The aim of the work here is to implement a self-configuring mesh network in IoT sensor devices for better independent data collection quality. The research conducted in this paper is to build a mesh network using NodeMCU ESP 8266 and NodeMCU ESP 32 with two types of sensor, DHT 11 and DHT 22. Hence, the work here has evaluated on the delay performance metric in Line-of-Sight (LoS) and Non-Line-of-Sight (nLos) situation based on different network connectivity. The results give shorter delay time in LoS condition for all connected nodes as well as when any node fail to function in the mesh network compared to nLoS condition. The paper demonstrates that the IoT sensor devices composing the mesh network is a must to leverage the link communication performance for data collection in order to be used in IoT-based application such as fertigation system. It will certainly make a difference in the industry once being deployed on large scale in the IoT world and make the IoT more accessible to a wider audience