Supply chain and logistics management is of tremendous importance for multinational organizations. Logistics Service Providers (LSPs) provide logistics services and smooth logistics operations between suppliers, manufacturers, distributors, and customers. This paper uses a Systematic Literature Review (SLR) to identify the current trends and future developments of LSPs and the underlying (smart) logistics operations connected to the concept of lifecycle management. An SLR review was conducted to identify relevant research papers in the areas of LSPs and logistics lifecycle management. Out of 288 papers analyzed, 81 were identified as highly appropriate for in-depth analysis. The LSP Lifecycle Model (LSLM) was then developed by combining logistics service characteristics and the lifecycle management concept, including Product Lifecycle Management (PLM), Service Lifecycle Management (SLM), and Product Service System (PSS). The LSLM consists of three phases: The Beginning of Life (BOL), the Middle of Life (MOL), and the End of Life (EOL). The LSLM is characterized by three phases, eight criteria, and seventeen sub-criteria. This paper aims to fulfil customer requirements through a product or service in the whole lifecycle of the logistics service provider. The findings further present an adaptable LSLM by focusing on various logistics services and integrating sustainability factors to meet market trends. Logistics cost factors can also be used to evaluate logistics services in the MOL stage. The EOL shows the trend of risk management, evaluation, and decomposition, which is determined by new or re-designed logistics products and services.

To investigate customer behavior on an e-commerce platform in Thailand that was expanding in response to the increasing value of a market in which more people purchase online. Furthermore, e-commerce is an advertising medium since it instantly connects information or user needs to target customers while also responding to market demands by reducing the time it takes to bring products to market, allowing for rapid market expansion. The study aims to study consumer behavior in online shopping through an application or platform and analyze the critical aspects of online shopping of customer behavior in e-commerce. Data were collected and processed using exploratory factor analysis (EFA) techniques, and a sample of 400 general people was chosen for survey research using questionnaires. The study's findings were as follows: Reliability testing; KMO and Bartlett's tests; total variance explained; Scree plot; rotated component matrix. The result of the EFA analysis came down to two components from 21 variables. As a result, they have been extremely positive and have garnered the most attention.

According to early 2020, the impact of the COVID epidemic and people's rapid awareness. The government has established projects and measures to prevent the spread of COVID-19 had a significant effect on the restaurant business that is unable to open fully, resulting in a significant drop in sales, particularly for suki or shabu buffet restaurants that normally have to "cook" and "eat" in the restaurant, directly affecting customer food consumption behavior and causing the shabu business to stall, requiring the operator to adjust. Therefore, the government projects and adaptations for dealing with such situations are essential to the consumer behavior of customers. The purpose of this research was to investigate consumer behavior regarding shabu restaurants at Mae Fah Luang University. There were several influences on consumer behavior during the COVID-19 issue. The collected data was examined by using descriptive statistics and exploratory factor analysis (EFA). Yamane's sample size total was 388 people, which was used to identify a student group from Mae Fah Luang University for this study to complete the questionnaire. The result showed the factor analysis distinguished by the Kaiser Meyer-Olkin (KMO) method was 0.916. The 16 criteria are divided into four components and the four components consist of service staff, quality of ingredients (pork, beef, chicken, seafood, food, and vegetables), location, and measures to avoid COVID-19. The resulting awareness of social distancing and the use of partition COVID-19 between other customers are most important to support the elements in deciding whether to use hotpot service restaurants or not.

Wearing a traditional Thai cotton dress is getting popular, particularly among Generation Z, which has greater access to internet media than previous generations. It is inspired by online communities, soap operas, celebrities, and fashionistas. The study aims to determine which factors of the Marketing Mix (4P) consisting of price, product, place, and promotion influence the purchasing decision of Generation Z groups by using the Best-Worst Method (BWM) proposed for solving the issue of selecting the best strategy. The information was gathered from 400 students at the Mae Fah Luang campus. The results showed that the best factor influencing customer purchasing decisions is a product and the average weight is 0.3038. It shows the products that reflect the wearer's identity and it in line with current fashion trends are of the utmost importance. The second factor is price, which shows an average weight of 0.2817. Customers in Generation z focus on a reasonable price related to a limited income. Therefore, these two factors influence buyers more than other factors.