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This paper breaks through the limitations of the research on bullwhip effect in the traditional supply chain, extends the research perspective to digital supply chain and discusses the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two.

This paper starts with the weakening mechanism of supply chain digitization on bullwhip effect, builds bullwhip effect models of traditional supply chain and digital supply chain, respectively, simulates the influence of supply chain digitization transformation on bullwhip effect by using Matlab software and analyzes the causes of bullwhip effect in supply chain led by T company and the digitization process.

Firstly, digitization can reduce bullwhip effect in multi-level supply chain by reducing information feedback deviation. Second, digital transformation is conducive to improving the overall performance of the supply chain. Third, government incentives can promote the digital transformation of supply chain and inhibit bullwhip effect.

Although the study considers the heterogeneous subject -- the government's incentive effect on digital transformation and information sharing – it does not include the influence of the end node in the supply chain, that is the consumer. In addition, this paper only analyzes and discusses the bullwhip effect on the amplification of demand, without considering the situation that the market contraction will lead to the reduction of demand.

This paper considers the distortion degree and delay degree of information feedback, carries out quantitative analysis of bullwhip effect, builds the bullwhip effect model of traditional supply chain and digital supply chain, uses Matlab software to analyze the difference of the influence of supply chain digital transformation on bullwhip effect suppression and puts forward the corresponding control strategy.

The research shows that digital transformation can reduce the bullwhip effect in multi-layer supply chain by reducing the information feedback deviation, which is conducive to improving the overall supply chain performance, and government support can accelerate the digital transformation of supply chain to a certain extent.

First, break through the limitations of traditional supply chain research, expand the research perspective to digital supply chain and discuss the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two. Second, quantify the bullwhip effect through information feedback bias and provide an analysis method for the weakening of the bullwhip effect. Third, the driving role of the government in the digital transformation of the supply chain is considered in the study, so that the model is more close to the actual situation of enterprise operation.

This study aims to identify the intellectual structures, current hotspots and research directions on rural tourism experience (RTE)–related fields from 1996 to 2021.

The authors collected 589 journal articles and reviews from the Web of Science Core Collection and Scopus database and analyzed them through VOSviewer and CiteSpace.

The results indicate a trend of gradual increase in RTE research, covering three main research themes. The most productive countries and institutions with RTE-related publications are mostly members of the European Union. However, the Asia-Pacific region is growing in RTE research and establishing influence. The author collaboration network and influential journals show the importance of the Malaysian authors and top travel journals. The discipline structure, critical articles and high-frequency keywords reflect the research hotspots and trends of RTE.

This study systematically reviews the RTE-related publications over the past 26 years. Accordingly, it can assist scholars gain a more comprehensive understanding of RTE research and acquire future research directions.

本研究的目的是确定 1996 年至 2021 年乡村旅游体验（RTE）相关领域的知识结构、当前热点和研究方向。

从 Web of Science (WOS) 核心合集和 Scopus 数据库中收集了总共 589 篇期刊文章和评论, 并通过 VOSviewer 和 CiteSpace 进行了分析。

结果显示 RTE 研究呈现逐渐增加的趋势, 涵盖三个主要研究主题。 RTE相关出版物最具生产力的国家和机构大多来自欧盟国家。然而, 亚太地区的 RTE 研究正在不断增长, 并建立了影响力。作者合作网络和有影响力的期刊显示了马来西亚作者和顶级旅游期刊的重要性。学科结构、重要文章和高频关键词都反映了RTE的研究热点和趋势。

本文系统回顾了过去 26 年来与 RTE 相关的出版物。从而有助于学者们对RTE研究有更全面的了解, 并获得未来的研究方向。

este estudio tiene como objetivo identificar las estructuras intelectuales, los hotspots actuales y las direcciones de investigación en los campos relacionados con la experiencia en turismo rural (RTE) de 1996 a 2021.

se recogieron 589 artículos y reseñas de revistas de la colección Web of Science (WOS) y la base de datos Scopus yse analizaron a través de VOSviewer y CiteSpace.

los resultados indican una tendencia de aumento gradual en la investigación de la RTE, que abarca tres temas principales de investigación. Los países e instituciones más productivos con publicaciones relacionadas con RTE son en su mayoría miembros de la Unión europea (UE). Sin embargo, la región Asia-Pacífico está creciendo en investigación RTE y estableciendo influencia. La red de colaboración de autores y las revistas influyentes muestran la importancia de los autores malasios y las principales revistas de viajes. La estructura de la disciplina, los artículos críticos y las palabras clave de alta frecuencia reflejan los hotspots de investigación y las tendencias de RTE.

este estudio revisa sistemáticamente las publicaciones relacionadas con RTE en los últimos 26 años. En consecuencia, puede ayudar a los académicos a obtener una comprensión más amplia de la investigación RTE y adquirir futuras direcciones de investigación.

This study aims to explore how and why self-discrepancy affects materialism and impulsive buying and the extent to which subjective well-being mediates the relationship between self-discrepancy, materialism and impulsive buying.

The authors have tested the hypothesis with a convenience sample (N = 434) from Lithuania. Descriptive analysis, principal components analysis (PCA), serial mediation hypothesis tested with model 81 from regression-based path analysis modeling tool PROCESS Macro for IBM® SPSS® Statistics 24.7 statistical software.

The serial and parallel mediation analysis results indicated that greater self-discrepancy was related to poorer life satisfaction, which was related to greater materialism centrality, which promoted greater impulsive buying. Also, the greater the self-discrepancy, caused more occurrence of negative affect, which relates to increased materialism happiness, which triggers impulsive buying. Self-discrepancy was negatively associated with the frequency of positive affect, which was positively related to materialism, which stimulates impulsive buying.

The study was dominated by younger respondents. The survey was conducted during the lockdown of the Covid-19 virus pandemic.

There is little empirical evidence to support the reasoning behind why self-discrepancy predicts a higher degree of materialism, which increases impulsive buying. This study suggests the mechanism of how subjective well-being affects relationships of self-discrepancy on materialism and impulsive buying.

In this chapter, the author explains the three components of Trilogy of Taoist Leadership – responsible business, responsible management and responsible leadership. The concepts of business, management and leadership are defined from multiple angles, including an etymological perspective. The historical origins and evolution of these three areas are explored to provide a comprehensive understanding. The chapter concludes with a discussion of the interconnections among the trilogy's components and illustrates how the trilogy can contribute to the development of sustainable organizations.

The purpose of this paper is to compare the pricing decisions and earning potential of the software supplier and the smart device manufacturer in different software promotion strategies.

Based on game theory, the authors formulate two promotion models, that is, the supplier implements software promotion activities individually (SP model) or outsources the promotion activity to the manufacturer under profit-sharing contract (MP model) when taking different channel power structures into consideration. Besides, in order to test the robustness of the conclusions, the authors also extend the basic model to the following situations: (1) the customers have different price elasticity toward service fee and product price; (2) the revenue sharing contract is employed by the supply chain members; and (3) the manufacturer's product promotion practice is taken into consideration.

The optimal service fee (product price) of the supplier (manufacturer) under SP model is always lower (higher) than that under MP model. Surprisingly, if the supplier is the channel leader and the profit sharing ratio exceeds certain threshold, the manufacturer's profit decreases in profit sharing ratio, which remains robust in three extension models. Moreover, the supply chain's profit in supplier-led game is always lower than that in Nash game irrespective of the promotion strategy in profit sharing context. When revenue sharing contract is adopted, the result holds only when the revenue sharing ratio is relatively low.

The authors originally explore two promotion strategies of the software supplier when taking the channel power structures into considerations, which has not been explored in the literature to the best of the authors' knowledge.

Based on the social interaction theory and trust theory, this study investigates the switching of users on social question and answer (Q&A) platforms from knowledge seekers to knowledge contributors.

We used Python to gather data from Zhihu, performed hypothesis testing on the models using Poisson regression and finally conducted a mediation effect analysis.

The findings reveal that knowledge seeking impacts users' motivation for information interaction, emotional interaction and trust. Notably, information interaction and trust exhibit a chained mediation effect that subsequently influences knowledge contribution.

Current studies on user knowledge behavior typically examine individual actions, rarely connecting knowledge seeking and knowledge contribution. However, the balance of knowledge inflow and outflow is crucial for social Q&A platforms. To cover this gap, this paper empirically investigates the switching between knowledge seeking and knowledge contribution based on the social interaction theory and trust theory.

The purpose of this paper is to consider three factors, namely, intra-week demand fluctuations, interrelationship between the number of robots and order scheduling and conflicting objectives (i.e. cost minimization and customer satisfaction maximization), to optimize the robot logistics system.

The number of robots and the sequence of delivery orders are first optimized using the heuristic algorithm NSGACoDEM, which is designed using genetic algorithm and composite difference evolution. The superiority of this method is then confirmed by a case study of a four-star grade hotel in South Korea and several comparative experiments.

Two performance metrics reveal the superior performance of the proposed approach compared to other baseline approaches. Results of comparative experiments found that the consideration of three influencing factors in the operation design of a robot logistic system can effectively balance cost and customer satisfaction over the course of a week in hotel operation and optimize robot scheduling flexibility.

The results of this study reveal that numerous factors (e.g. intra-week demand fluctuations) can optimize the performance efficiency of robots. The proposed algorithm can be used by hotels to overcome the influence of intra-week demand fluctuations on robot scheduling flexibility effectively and thereby enhance work efficiency.

The design of a novel algorithm in this study entails enhancing the current robot logistics system. This algorithm can successfully manage cost and customer satisfaction during off-seasons and peak seasons in the hotel industry while offering diversified schemes to various types of hotels.

This paper aims to improve the device performance from the perspective of reducing ohmic contact resistance; the effects of different electrode structures and alloying parameters on the series resistance and power-current-voltage of laser diodes (LDs) have been investigated in this paper.

Four groups of p-GaAs side metal electrodes with different metal layer arrangements and thicknesses are fabricated for the investigated LDs. The investigated p-GaAs side electrodes are based on Ti/Pt/Au material and the n-GaAs side metal electrodes all have a same structure of Ni/Ge/Ni/Au/Ti/Pt/Au. The LDs with different electrodes were alloyed at 380°C for 60 s and 420°C for 80 s.

The experimental results show that the series resistance decreases by 14%–20%, the output power increases by 2%–2.2% and the conversion efficiency increases by 1.69%–2.16% for the LDs prepared with optimized alloying parameters (420°C for 80 s). The laser diode with p-GaAs side Ti/Pt/Au electrode of 30/70/100 nm has the best device characteristics under both annealing conditions.

The utilization of this improvement on ohmic contact property in electrode is not only very important for upgrading high-power LDs but also helpful for GaAs-based microelectronic devices such as HBT and monolithic microwave integrated circuit.

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.

We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.

In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.

Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.

In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.