Research on Influencing Factors of Salespeople's Empowerment Readiness in Green Energy Enterprise

AbstractAs market competition in green energy enterprises continues to intensify, marketing activities are enlarging and customer demand is increasingly growing and diversifying. More and more green energy enterprises have empowered their own salespeople. And managers in green energy enterprises are more concerned with the issues which employees suit to be empowered and which factors will influence employee empowerment readiness. This paper proposes the definition of salespeople's empowerment readiness, analyzes influencing factors of salespeople's empowerment readiness, discusses the effect mechanism of influencing factors of salespeople's empowerment readiness, finally, and puts forward some suggestions to enhance salespeople's empowerment readiness from the perspective of human resource management practice

Persona-centric Metamorphic Relation guided Robustness Evaluation for Multi-turn Dialogue Modelling

Recently there has been significant progress in the field of dialogue system thanks to the introduction of training paradigms such as fine-tune and prompt learning. Persona can function as the prior knowledge for maintaining the personality consistency of dialogue systems, which makes it perform well on accuracy. Nonetheless, the conventional reference-based evaluation method falls short in capturing the genuine text comprehension prowess of the model, significantly relying on the quality of data annotation. In contrast, the application of metamorphic testing offers a more profound insight into the model's distinct capabilities without necessitating supplementary annotation labels. This approach furnishes a more comprehensive portrayal of the model's intricacies and exposes intricacies concealed within reference-based validation techniques. Consequently, we introduce a persona-centric metamorphic relation construction for metamorphic testing, aimed at evaluating both the persona consistency and robustness of personalized dialogue models. For that reason, this work evaluates several widely used training paradigms including learning from scratch, pretrain + fine-tune and prompt learning in personalized dialogue retrieval to know if they are more robust or if they have the same flaws as their predecessor. Under three kinds of designed metamorphic relations with consistent outputs, our experimental results reveal that prompt learning shows stronger robustness compared to training from scratch and fine-tune. Although tested retrieval models gain competitively high retrieval accuracy according to the traditional reference-based validation, they are still fragile and demonstrate various unexpected behaviors, thus there is still room for future improvement in personalized dialogue retrieval

Pricing Decision of Closed-Loop Supply Chain to Improve Service Level under Patent Protection

This paper constructs a two-level closed-loop supply chain system consisting of original parts manufacturers and parts distributors. Based on the different preferences of consumers for remanufactured parts and new parts, four combination models of patent protection and service improvement are constructed. Through comparative analysis, the impact of implementing patent protection policies by original parts manufacturers and improving service levels by parts distributors on the pricing decisions of the closed-loop supply chain is explored.Through the comparison between related models and the verification of calculation examples, it is found that (1) a manufacturer prevents the price of new products from being affected by the price of remanufactured products and upgrading of service level by introducing royalties, which reduces its loss of profit; (2) in the absence of patent protection, the manufacturerꞌs profit decreases as the level of service increases; in the presence of patent protection, the manufacturerꞌs profit increases as the level of service increases; (3) retailersꞌ profits decrease after the manufacturer introduces royalties, which discourages them to improve service levels for remanufactured products; (4) as retailers raise the service level of the remanufactured products, the profits of the manufacturer and third-party manufacturers keep increasing, while the profits of the retailers first increase and then decrease

EmoFake: An Initial Dataset for Emotion Fake Audio Detection

Many datasets have been designed to further the development of fake audio detection, such as datasets of the ASVspoof and ADD challenges. However, these datasets do not consider a situation that the emotion of the audio has been changed from one to another, while other information (e.g. speaker identity and content) remains the same. Changing the emotion of an audio can lead to semantic changes. Speech with tampered semantics may pose threats to people's lives. Therefore, this paper reports our progress in developing such an emotion fake audio detection dataset involving changing emotion state of the origin audio named EmoFake. The fake audio in EmoFake is generated by open source emotion voice conversion models. Furthermore, we proposed a method named Graph Attention networks using Deep Emotion embedding (GADE) for the detection of emotion fake audio. Some benchmark experiments are conducted on this dataset. The results show that our designed dataset poses a challenge to the fake audio detection model trained with the LA dataset of ASVspoof 2019. The proposed GADE shows good performance in the face of emotion fake audio

Exploration and Practice of Hybrid Teaching Mode of Web Front-end Development Technology Based on OBE

To address the problems of traditional lecture-based teaching in the “Web Front-end Development Technology” course, in which students lack practical problem-solving ability and enterprises lack satisfaction with the front-end development talents cultivated by universities, this paper proposes a hybrid teaching mode for the Web Front-end Development Technology course based on OBE, with the educational outcomes of students as the main objective. The OBE teaching concept is used to reform the teaching mode; the teaching design is based on the framework of activity theory; the SPOC hybrid teaching mode is used to learn the theoretical basics and complete the corresponding experiments and exercises online; the task-driven method and project-based teaching are used to enhance students’ practical skills and innovative thinking offline. The method is then applied to our school’s teaching and learning programs. Subsequently, the model was applied to the teaching of “Web Front-end Development Fundamentals” course in our 2021 and 2022 computer science classes, and the experimental data were analyzed using multiple linear regression methods. The experimental results show that the OBE-based hybrid teaching model studied in this paper has achieved significant results