Pricing Decisions and Member Participation Conditions in the Platform Supply Chain with Seasonal Demand: A Game Theory-Based Analysis

In a platform supply chain containing an sharing platform, a retailer, and two upstream factories, we consider the sales of two substitutable products and the constraints on the participation of non-platform members in the game, construct a dynamic game model of the platform supply chain with demand fluctuations due to seasonal changes, and use the inverse induction method to derive the thresholds for the participation of the retailer and factories in the game and the optimal price of each member, analyze the pricing decisions and participation game process among members. Our findings are as follows. (1) The threshold for the retailer to participate in the game during peak season is greater than that in the off-season, while the manufacturer's threshold is the opposite. (2) The platform should reduce commissions during peak season, factories should reduce wholesale prices, and the retailer should increase sales price. (3) The increase in price sensitivity coefficient, inventory cost and production cost are all detrimental to the platform, whereas an increase in the cross-price sensitivity coefficient is usually beneficial. (4) Whether it is the peak season or the off-season, the increase in demand fluctuations is bad for all chain members

The effects of design thinking on students\u27 career self-efficacy in career guidance courses

The present study focuses on integrating design thinking into career guidance courses to test whether students’ career self-efficacy is increased by comparing the experiment group (by using design thinking method) and the general group (by using traditional teacher-centered method). The basic theoretic framework is Bandura’s self-efficacy theory (Bandura, 1977). Students will achieve career self-efficacy after experiencing repeatedly success (Bandura, 1977) in the career activities through design thinking method. Then students will have more confidence to make more appropriate career choices in their employment environment. This study used AMOS and path analysis to analyze a just-identified model. The model included five endogenous variables as well as six exogenous variables to control for age, sex and GPA. The data met all statistical assumptions of path modeling. In sum, all the five paths between design thinking and the other five endogenous variables were significant positive (p \u3c.001), which indicates that using the design thinking method to teach students’ career courses can improve students’ goal selection, problem solving, occupational information, planning, and self-appraisal scores

Dynamic Emission Reduction Strategy for Shipping Company Considering Shipper's Cancellation of Cabin Space

As a major carbon emitting industry, the shipping industry urgently needs to actively reduce emissions. This article introduces parameters such as the shipper's low-carbon preference coefficient, cabin cancellation rate, and compensation rate, considering the shipper's low-carbon preference and cabin cancellation behavior. Based on the state changes of shipping emission reduction, an optimal control method is used to construct a dynamic decision-making model for shipping companies to reduce emissions. The optimal emission reduction effort of shipping companies is solved to clarify the optimal dynamic trajectory changes of shipping emission reduction, shipping volume, and shipping companies' expected discounted profits. The impact of shipper's low-carbon preference and cabin cancellation on shipping companies' emission reduction operation strategies is also revealed. An important finding is that the cancellation of cargo space by shippers will reduce the enthusiasm of shipping companies to reduce emissions, while the increase in shippers' low-carbon preference coefficient can help improve the enthusiasm of shipping companies to reduce emissions and increase shipping emissions. Moreover, the dynamic emission reduction operation strategies of shipping companies will dynamically change over time. Finally, the effectiveness of the model was validated through numerical analysis

Live Streaming Channel Selection and Sales Strategy of Brand Suppliers Based on Consumer Purchase Intention

As an emerging sales mode, live streaming e-commerce is currently a hot spot and has attracted much attention. Different from the existing literature, this paper takes an empirical perspective and conducts a questionnaire survey and empirical analysis on the influencing factors of channel selection and purchase intention among live streaming e-commerce consumers, and deduces the optimization strategy of live streaming e-commerce of brand suppliers from the perspective of consumers. First, we screened out two major factors influencing purchase intention, product characteristics and anchor characteristics, through offline interviews and literature review. Then, we refined and extracted five independent variables: product quality, price preference, anchor professionalism, anchor interactivity, and anchor attractiveness. Secondly, we investigated consumers' preferences for live streaming channels through questionnaires, especially introduced the type of live streaming channels as a moderator into the analysis of factors affecting consumers' purchase intention. Finally, according to the results of data analysis, we put forward optimization suggestions for brand suppliers' live streaming channel selection strategy and sales strategy. The research results have certain reference significance for brand suppliers' live streaming channel selection and sales strategy. 

The effects of design thinking on students\u27 career self-efficacy in career guidance courses

The present study focuses on integrating design thinking into career guidance courses to test whether students’ career self-efficacy is increased by comparing the experiment group (by using design thinking method) and the general group (by using traditional teacher-centered method). The basic theoretic framework is Bandura’s self-efficacy theory (Bandura, 1977). Students will achieve career self-efficacy after experiencing repeatedly success (Bandura, 1977) in the career activities through design thinking method. Then students will have more confidence to make more appropriate career choices in their employment environment. This study used AMOS and path analysis to analyze a just-identified model. The model included five endogenous variables as well as six exogenous variables to control for age, sex and GPA. The data met all statistical assumptions of path modeling. In sum, all the five paths between design thinking and the other five endogenous variables were significant positive (p \u3c.001), which indicates that using the design thinking method to teach students’ career courses can improve students’ goal selection, problem solving, occupational information, planning, and self-appraisal scores

Research Progress of VLBI Global Observing System (VGOS)

Known for unique super-high spatial resolution and positioning accuracy, very long baseline interferometry (VLBI) has been a geodetic research hotspot in various countries since late 1970s. The measuring capability of VLBI currently, however, still stays below satisfaction to a number of scientific and engineering fields, which require millimeter-level accuracy. In order to realize the goal of 1 mm positioning accuracy on global scales, the international VLBI service for geodesy and astrometry(IVS)recommended constructing a new generation VLBI observing system, namely VGOS. Starting with subsystems that constitute a VGOS station, this paper introduced the present progress and development trend of VGOS at home and abroad, and finally listed the problems and challenges which still should be faced at present stage

Joint Optimization Decision of Online Retailers’ Pricing and Live-Streaming Effort in the Postepidemic Era

The isolation requirements of the coronavirus epidemic and the intuitive display advantages of live-streaming have led to an increasing number of retailers shifting to social live-streaming platforms and e-commerce live-streaming platforms to promote and sell their products in real time. However, the provision of live-streaming services will also incur high live-streaming effort costs. In this paper, we develop two decision models for retailers to sell goods through a single online shop and both online shop and live-streaming room; we also present the optimal decisions of pricing and live-streaming efforts. Furthermore, we identify the profitability conditions for retailers to determine when to provide live-streaming services. In addition, we examine the impact of the provision of live-streaming services on the optimal price and live-streaming effort. We obtain three findings. First, there is a unique optimal decision on the price and live-streaming effort under certain conditions. Second, when the effect coefficient of the live-streaming room reaches a certain threshold, there are enough customers who enter the live-streaming room to watch and buy and it is profitable for retailers to provide live-streaming service. Finally, the optimal price and live-streaming effort increase with the increase in average return loss, the effect coefficient of live-streaming effort, and the extra return rate and decrease with the increase in the proportion of customers who choose to buy in the online shop and the price discount coefficient in the live-streaming room

Bathymetry predicting using the altimetry gravity anomalies in South China Sea

In South China Sea (112°E–119°E, 12°N–20°N), 81159 ship soundings published by NGDC (National Geophysics Data Center) and the altimetry gravity anomalies published by SIO (Scripps Institute of Oceanography) were used to predict bathymetry by GGM (gravity-geologic method) and SAS (Smith and Sandwell) method respectively. The residual 40576 ship soundings were used to estimate precisions of the predicted bathymetry models. Results showed that: the standard deviation of difference between the GGM model and ship soundings was 59.75 m and the relative accuracy was 1.86%. The SAS model is 60.07 m and 1.87%. The power spectral densities of the ETOPO1, SIO, GGM and SAS models were also compared and analyzed. At last, we presented an integrated bathymetry model by weighted averaging method, the weighted factors were determined by precisions of the ETOPO1, SIO, GGM, and SAS model respectively. Keywords: Gravity-geologic method, Smith and Sandwell method, Bathymetry, Gravity anomaly, Power spectral density analysi

Dynamic Pricing of Ride-Hailing Platforms considering Service Quality and Supply Capacity under Demand Fluctuation

Increasing attention is being paid to the pricing decisions of ride-hailing platforms. These platforms usually face market demand fluctuation and reflect supply and demand imbalances. Unlike existing studies, we focus on the optimal dynamic pricing of the platforms under imbalance between supply and demand caused by market fluctuation. Dynamic models are constructed based on the state change of supply and demand by using optimal control theory, with the aim of maximizing the platform’s total profit. We obtain the optimal trajectories of price, supply, and demand under three ride demand situations. The effects of some key parameters on pricing decisions, such as coefficient of demand fluctuation, service quality, and fixed commission rate, are examined. We find the optimal dynamic price can improve the match of supply-demand in ride-hailing market and enhance the revenue of platform