Consumer Purchase Intention toward Online Food Delivery Service: The Implication for Future Research

In Malaysia, online food delivery service provider has experienced steady growth in term of the increasing numbers of companies offering this service. This study aims to analyze consumer purchase intention towards online food delivery service based on factors of control, convenience, needs for interaction, technology anxiety, and consumer satisfaction. Additionally, this study highlighted which service delivery provider that are more preferred by consumers and help to identify the actual demographic profile and market segments for this service. This research was carried out using a quantitative approach and data was collected using a questionnaire and distributed through an online platform. Purposive sampling was used with screening questions. Sample size was determined using power analysis with total number of 147 respondents were identified as the appropriate minimum sample size for this study. The findings indicate intention of using an online food delivery provider is strongly influenced by independent variables tested in this study. However, findings from this study have shed some light concerning the demographic profile of consumers who use services from online service delivery. For instance, it is believed that this service is much more appealing to the younger generation due to their ability to adopt a new technology and the older generations are more resistant to changes. Thus, this study has proved that generation X are the heavy users of online food delivery service due to the advantages its offers in term of convenience and satisfaction. This indicates that these segments have less resistance to new technology and services

User Emotion Based Selective Delivery Of Content

User interaction with a server that provides online services such as social networking, media hosting and sharing websites, news, etc. is detected. The user interaction and other data such as user profile information is analyzed using machine-learning models trained to detect emotion. Available content items, such as user-provided content items and sponsored content items, are matched to the detected emotion based on various criteria to select and deliver particular content items to deliver to the requesting user. The described techniques for selection and delivery of content items based on detected emotion enable delivery of content items that have a high likelihood of providing a quality user experience and improve engagement of the user with the online service

Updating Content Item Delivery Criteria Based On User Interaction

Content items and associated criteria for delivery are received by a server from content provider. The server provides online services such as social networking, media hosting and sharing websites, news, etc. User interaction with the server and other data such as user profile information is analyzed using machine-learning models trained to detect emotion. Available content items are matched to the detected emotion based on criteria associated with the content items to select and deliver particular content items to deliver to the requesting user. User interactions with the delivered content are monitored. The criteria associated with content items are updated based on the monitored user interaction to control delivery rate and to improve selection of users to whom the content items are delivered. The described techniques for selection and delivery of content items based on detected emotion enable delivery of content items that have a high likelihood of providing a quality user experience. The described techniques improve engagement of the user with the online service

Determinants Of Online Purchase For Agroproducts Among Pasarborong.Com Customers

Online-purchasing for agricultural products in Malaysia is not well received, despite the encouragement by the government and local vendors. This study examines the online purchasing behavior of consumers for selected agricultural products in Malaysia. The research objectives are: to document the profile of online shoppers; to document the types of products that are being purchased online; to determine the consumers behavior towards online purchasing; and to analyze factors affecting online purchases. An online survey was posted at www.geocities.com/sothy_46 . The survey focused only on online shoppers for agro products. Notice of the survey was posted through www.pasarbong.com website. The notice was also sent to the customers through www.parksononline.com.my and www.egroceries.com.my. A total of 46 participants responded. The data were analyzed using mean average, factor analysis, gap analysis and linear regression. Descriptive statistics was used to describe the respondent profile, consumer’s behavior and their beliefs of online purchasing of selected agro- products such as mean average. Factor analysis was used to uncover the dimension of the beliefs of online marketing for selected agro- products. Gap Analysis refers to the activity of studying the differences between standards and the delivery of those standards. Linear Regression model was used to predict the relationship between dependent variable of happy dealing online to independent variables used in the factor analysis. The results showed that a majority of the respondent used e-commerce to purchase services such as, providing reservation/booking online and online banking rather than to purchase goods. The survey also included questions to determine the consumers’ expectation before they first purchase online as well as their perception after they had made online purchases. In general, the experience of the respondents was not up to their expectation. Based on factor analysis, there are five factors which influenced consumer’s perception towards online marketing. They are after sales services, communication, product attribute, satisfaction and delivery. The regression analysis also found that some factors were significant in influencing the level of consumers’ satisfaction regarding online purchasing

A review on massive e-learning (MOOC) design, delivery and assessment

MOOCs or Massive Online Open Courses based on Open Educational Resources (OER) might be one of the most versatile ways to offer access to quality education, especially for those residing in far or disadvantaged areas. This article analyzes the state of the art on MOOCs, exploring open research questions and setting interesting topics and goals for further research. Finally, it proposes a framework that includes the use of software agents with the aim to improve and personalize management, delivery, efficiency and evaluation of massive online courses on an individual level basis.Peer ReviewedPostprint (author's final draft

Student-Centered Learning: Functional Requirements for Integrated Systems to Optimize Learning

The realities of the 21st-century learner require that schools and educators fundamentally change their practice. "Educators must produce college- and career-ready graduates that reflect the future these students will face. And, they must facilitate learning through means that align with the defining attributes of this generation of learners."Today, we know more than ever about how students learn, acknowledging that the process isn't the same for every student and doesn't remain the same for each individual, depending upon maturation and the content being learned. We know that students want to progress at a pace that allows them to master new concepts and skills, to access a variety of resources, to receive timely feedback on their progress, to demonstrate their knowledge in multiple ways and to get direction, support and feedback from—as well as collaborate with—experts, teachers, tutors and other students.The result is a growing demand for student-centered, transformative digital learning using competency education as an underpinning.iNACOL released this paper to illustrate the technical requirements and functionalities that learning management systems need to shift toward student-centered instructional models. This comprehensive framework will help districts and schools determine what systems to use and integrate as they being their journey toward student-centered learning, as well as how systems integration aligns with their organizational vision, educational goals and strategic plans.Educators can use this report to optimize student learning and promote innovation in their own student-centered learning environments. The report will help school leaders understand the complex technologies needed to optimize personalized learning and how to use data and analytics to improve practices, and can assist technology leaders in re-engineering systems to support the key nuances of student-centered learning

INTERNET RETAIL IN A DEVELOPING COUNTRY: PERFORMANCE MEASUREMENT AND BUSINESS OPERATIONS

This study investigates Internet retailers in a developing country. It aims to investigate the characteristic of business profiles and operations, and to describe performance measurement implemented and its use. Internet-based research was adopted by combining a questionnaire email survey with web content analysis to study Indonesian Internet retailers. The results show that the majority of Indonesian Internet retailers are immature, small size, and without store-presence. The business operation practices, such as ordering, payment, and communication, indicate some differences from those in developed economies. Though Indonesian Internet retailers are still immature, they have measured various aspects of business performance. Those measured more performance indicators are likely to use the information more intensively to support decision making. This study has limitations such as the small number of responses, which might prevent the generalization of the results. The findings could be used by local Internet retailers to improve the business operations and performance measurement, as well as global Internet retailers entering Indonesian market to adopt some local operation practices