The purpose of this study is to determine the relationship of e-service quality (ESQ) and ease of use (EOU) to electronic customer relationship management (E-CRM), which is referred by brand image (BI). This study presents the relevance of e-commerce (E-COM) in the business world especially in the pandemic situation and how ESQ, EOU contributes in building E-CRM. To show the relation between variables, the authors have applied scattered methods under correlation analysis. The sample was asked various closed ended questions in the domain of ESQ for E-CRM, EOU for E-CRM, ESQ for BI, EOU for BI. The results showed that there is a relationship between BI and E-CRM, ESQ and BI, ESQ and E-CRM, EOU and BI. There is no direct relation between EOU and E-CRM, but BI can facilitate in building the E-CRM. Also, the results show the direct relation between ESQ and E-CRM referred by BI.

This is the extended research work where we tried to add more sections in Quality instruments to their role in achieving interoperability in e-learning and quality. In this paper we included more reference models such as experiences of Quality instruments affected by demographic criteria. In Higher education systems E-Learning faces two major challenges, first to ensure the interoperability of E-Learning (IEL) and secondly, developing quality learning through e-Learning. This research studies the concept, scope and dimensions of interoperability of E-Learning in education with special reference to King Khalid University then the connection and interdependence between with quality development. To impart learning and teaching through E-learning, KKU has adopted Learning Management Services (LMS) through Blackboard. The university has three types of learning and teaching methods; full online, Blended and Supportive. In this paper we have described the dimensions of quality and the standards of E- Learning for the objectives of IEL and quality development (QD) in KKU. The research is based principally on secondary data observed from KKU E-Learning deanship. Also sample of 20 E-Learning experts at KKU were given closed ended as well as semi closed questionnaires for evaluating the assurance of IEL and QD. These experts are mainly certified online facilitators and admin staff. Results provide the verification of application and presence of IEL and assured the QD process in KKU in imparting knowledge.

The aim of the research is to examine the effect of social media marketing activities on brand awareness, brand image, and brand loyalty. In addition, it has been aimed to analyze the effect of brand awareness and brand image on brand loyalty in this research. The population of the research consists of the consumers who actively follow five brands with the highest social score according to the Marketing Gulf social media brand performance data on social media communication channels such as Facebook, Twitter, and Instagram. In this research, qualitative method has been used, and research data has been obtained via online questionnaires shared on social media from 100 brand followers, and their responses were scaled on Likert scale. As a result of the analysis, social media marketing activities have been found as effective factors on brand image and brand loyalty. It has been determined as the most obvious effect seen on brand awareness. Also, brand awareness and brand image have a significant effect on brand loyalty, though brand awareness has a limited effect on the brand image.

E-Learning Modeling Technique and Convolution Neural Networks in Online Education - 1

Smart cities are becoming increasingly popular in modern culture as towns strive to embrace new technologies and approaches to enhance infrastructure and services for citizens. One of the key factors in creating a smart city is efficient waste management, and the Internet of Things (IoT) is playing a major role in this process. The IoT refers to the interconnectivity of everyday devices and appliances, allowing them to communicate and share data. This technology is being leveraged in waste management to increase efficiencies and reduce costs through the use of sensors and real-time monitoring. The intervention of IoT in smart cities to automate and improvise various waste management processes can pave the way for a better, cleaner city. IoT can be leveraged in smart cities for various aspects of waste management including waste bins monitoring, waste bin collection planning, waste segregation and recycling, etc. In this study we will be discussing the role of IoT in a few of the aspects and its potential impact in the pursuit of cleaner cities.