Online platforms have become a focus nowadays as an instrument to help expedite some daily routines such as e-commerce including food ordering, online banking, social networking, and many more. Food ordering through online platforms, for instance, have evolved due to the growing numbers of users of digital platforms, restaurant-goers, and many more. The recent pandemic of coronavirus has changed the scenario of brick-and-mortar businesses while most governments forced to shut down and impose strict regulations of lockdown and social distancing among citizens. Although this situation hit most businesses, statistics have shown there is an increasing amount of E-Commerce spending globally. There has been several commercial systems and studies in the market and literature related to food ordering platforms and processes discussed in the study. However, most systems focusing on order-to-delivery and imposed a higher price for delivery. This study introduces an O2O food ordering concept aiming the takeout customers segment and targeting to optimised orders that can be made in advanced and on-the-go. The concept generates models of a new O2O and distance food ordering for potential E-Commerce implementations. Out of the models, process improvement is analysed and suggest that customers would save time, effort, and able to maintain social distancing among citizens. The models can be generalised to be implemented in various industries and situations, depending on in-depth analysis that would be carried out in future studies.
Model-based requirements engineering (MBRE) is an approach that empowers requirements engineers with adequate models to perform requirements engineering (RE) activities. This approach is increasingly becoming an essential part of system engineering projects as it reduces development time, enhances analysis capability and increases the potential for reuse. Use case diagram, activity diagram, business process management and notation diagram (BPMN) and swimlane diagram are among the diagram used in representing the requirements. However, the swimlane diagram has received little attention in the literature and lack of empirical support, particularly in the requirements engineering field. In this study, a multi-criteria comparative work is performed where three other diagrams are identified and examined against the swimlane diagram. Walkthrough sessions are conducted using enterprise application documents with real users to validate the model-based requirements exemplified using the swimlane diagram. These activities are carried out to highlight the efficacy of the swimlane diagram in representing requirements in the RE field. The results confirmed that the swimlane diagram outperforms NL in overall completion time for the requirement validation process. Furthermore, it gives users a better understanding as they did not need to read textual requirements which are typically ambiguous, confusing, and lengthy.
Trust plays a vital role in social commerce due to the inadequacy of physical interaction and experience during the customer-seller transaction. Various studies were drawn in the literature targeting the investigation of the influence criteria related to trust using statistical analysis approach. However, little attention has been paid on the importance of the criteria in evaluating customer trust toward online sellers that used Social Network Sites (SNSs) as business platforms. In this study, the Fuzzy AHP (FAHP) method, an extension of the Analytical Hierarchy Process (AHP) was adopted to determine the importance of criteria in evaluating customer’s trust towards online SNSs sellers. The results of FAHP were then compared against the result of AHP, which both methods’ results similarities and differences were also presented and discussed.
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