The Influencing Factors of Customer Satisfaction: A Case Study of Shopee in Malaysia

Shopee was the largest e-commerce platform in Southeast Asia in 2020 by gross merchandise value and total orders. It is currently one of the leading e-commerce platforms in Malaysia. Despite the intense competition in the e-commerce space, Shopee has expanded aggressively across the Southeast Asian region over the last few years. Its successful business expansion is likely attributed to its profound competitive advantages. This study aims to examine the primary factors influencing customer satisfaction towards using Shopee for online purchasing in Malaysia. A survey questionnaire was used for data collection. A total of 100 Shopee users from Malaysia responded to the survey. The findings revealed that perceived ease of use and perceived convenience had influenced the customer satisfaction toward online purchasing on Shopee in Malaysia. Meanwhile, perceived usefulness and perceived trust did not significantly influence customer satisfaction towards Shopee in Malaysia. This study provides Shopee with valuable insights and guidance on customers’ perception of Shopee, leading to improved customer satisfaction.

Handling Transitive Relations in First-Order Automated Reasoning

We present a number of alternative ways of handling transitive binary relations that commonly occur in first-order problems, in particular equivalence relations, total orders, and transitive relations in general. We show how such relations can be discovered syntactically in an input theory, and how they can be expressed in alternative ways. We experimentally evaluate different such ways on problems from the TPTP, using resolution-based reasoning tools as well as instance-based tools. Our conclusions are that (1) it is beneficial to consider different treatments of binary relations as a user, and that (2) reasoning tools could benefit from using a preprocessor or even built-in support for certain types of binary relations.

Detecting Ordinal Subcascades

Ordinal classifier cascades are constrained by a hypothesised order of the semantic class labels of a dataset. This order determines the overall structure of the decision regions in feature space. Assuming the correct order on these class labels will allow a high generalisation performance, while an incorrect one will lead to diminished results. In this way ordinal classifier systems can facilitate explorative data analysis allowing to screen for potential candidate orders of the class labels. Previously, we have shown that screening is possible for total orders of all class labels. However, as datasets might comprise samples of ordinal as well as non-ordinal classes, the assumption of a total ordering might be not appropriate. An analysis of subsets of classes is required to detect such hidden ordinal substructures. In this work, we devise a novel screening procedure for exhaustive evaluations of all order permutations of all subsets of classes by bounding the number of enumerations we have to examine. Experiments with multi-class data from diverse applications revealed ordinal substructures that generate new and support known relations.

Fact, Fiction, and Fitness

A theory of consciousness, whatever else it may do, must address the structure of experience. Our perceptual experiences are richly structured. Simply seeing a red apple, swaying between green leaves on a stout tree, involves symmetries, geometries, orders, topologies, and algebras of events. Are these structures also present in the world, fully independent of their observation? Perceptual theorists of many persuasions—from computational to radical embodied—say yes: perception veridically presents to observers structures that exist in an observer-independent world; and it does so because natural selection shapes perceptual systems to be increasingly veridical. Here we study four structures: total orders, permutation groups, cyclic groups, and measurable spaces. We ask whether the payoff functions that drive evolution by natural selection are homomorphisms of these structures. We prove, in each case, that generically the answer is no: as the number of world states and payoff values go to infinity, the probability that a payoff function is a homomorphism goes to zero. We conclude that natural selection almost surely shapes perceptions of these structures to be non-veridical. This is consistent with the interface theory of perception, which claims that natural selection shapes perceptual systems not to provide veridical perceptions, but to serve as species-specific interfaces that guide adaptive behavior. Our results present a constraint for any theory of consciousness which assumes that structure in perceptual experience is shaped by natural selection.

Orders on Trees and Free Products of Left-ordered Groups

We construct total orders on the vertex set of an oriented tree. The orders are based only on up-down counts at the interior vertices and the edges along the unique geodesic from a given vertex to another.As an application, we provide a short proof (modulo Bass–Serre theory) of Vinogradov’s result that the free product of left-orderable groups is left-orderable.

Optimization of the Order Menu in the Electronic Health Record Facilitates Test Patterns Consistent With Recommendations in the Choosing Wisely Initiative

Objectives Thyroid and rheumatologic autoimmune testing are areas where evidence-based guidance from specialty organizations and Choosing Wisely support utilizing screening tests for autoimmune and thyroid disorders prior to more specialized testing. Adjustment of the orderable options in the electronic health record (EHR) can influence ordering patterns without requiring manual review or additional effort by the clinician. Methods The menu was adjusted to reflect recommendations from Choosing Wisely to favor screening tests that automatically reflex to specialized testing on primary care providers’ preference lists. Effectiveness was evaluated by reviewing total orders for individual tests. Results Shifts in ordering from individual screening tests (antinuclear antibody and thyrotropin) to ones that reflexed to specialized testing were observed in parallel with significant reductions in the corresponding specialized testing. Conclusions Optimization of the EHR laboratory ordering menu can be used to shift ordering patterns toward Choosing Wisely recommendations.