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The emergence of the Software-as-a-service (SaaS) licensing model dramatically changes how enterprise software is released. Especially, it is favored by small and medium enterprises (SMEs) because of the cost-friendly feature. In contrast, many large enterprises (LEs) own relatively abundant budgets and prefer the on-premise software to fulfill demands through customization. Considering the differentiated cost-acceptance level among customers, this study aims to address the versioning problem of the enterprise software faced by software firms.

A two-point distribution model is formulated to calculate the maximal profits software firm earned from both LEs and SMEs under three strategies (On-premise, SaaS and Hybrid). Then through profit comparison, this paper obtains the optimal versioning strategy and corresponding feasible conditions. Finally, the optimal solutions are derived concerning social welfare.

A significant finding is that moving to SaaS becomes necessary for the software firms in product releases since the on-premise strategy will not be optimal. Based on this, this paper discovers that when LEs own a cost-acceptance level close to that of SMEs, the hybrid strategy is the only optimal choice. When LEs become less sensitive to costs, the hybrid strategy is suggested if the customization cost falls below the threshold. Otherwise, the SaaS strategy becomes the optimal option. The conclusions explain why some software vendors transit to “cloud companies” thoroughly and provide practical insights for software firms’ future decisions.

To the best of the authors’ knowledge, this paper is the first information economics study to consider consumer cost sensitivity in discussing enterprise software versioning. The differentiated cost-acceptance level is introduced to describe the customer utilities, and the results uncover the necessity of moving to SaaS under diversified customer composition. This work provides significant theoretical value and practical insights.

The purpose of this paper is to provide a fast and accurate network for spatiotemporal action localization in videos. It detects human actions both in time and space simultaneously in real-time, which is applicable in real-world scenarios such as safety monitoring and collaborative assembly.

This paper design an end-to-end deep learning network called collaborator only watch once (COWO). COWO recognizes the ongoing human activities in real-time with enhanced accuracy. COWO inherits from the architecture of you only watch once (YOWO), known to be the best performing network for online action localization to date, but with three major structural modifications: COWO enhances the intraclass compactness and enlarges the interclass separability in the feature level. A new correlation channel fusion and attention mechanism are designed based on the Pearson correlation coefficient. Accordingly, a correction loss function is designed. This function minimizes the same class distance and enhances the intraclass compactness. Use a probabilistic K-means clustering technique for selecting the initial seed points. The idea behind this is that the initial distance between cluster centers should be as considerable as possible. CIOU regression loss function is applied instead of the Smooth L1 loss function to help the model converge stably.

COWO outperforms the original YOWO with improvements of frame mAP 3% and 2.1% at a speed of 35.12 fps. Compared with the two-stream, T-CNN, C3D, the improvement is about 5% and 14.5% when applied to J-HMDB-21, UCF101-24 and AGOT data sets.

COWO extends more flexibility for assembly scenarios as it perceives spatiotemporal human actions in real-time. It contributes to many real-world scenarios such as safety monitoring and collaborative assembly.

The purpose of the study is to construct a relationship model between the consumer resistance to innovation (CRI) and innovation adoption, and the study selected the customer loyalty as the moderating variable.

Based on questionnaire survey and regression model analysis, the study analyses the psychological processes and formation mechanisms that they either resist or adopt innovation by exploring users' attitudes towards smartphone application updates.

The results showed that innovation resistance negatively affected innovation adoption, and consumers are more likely to adopt innovations simply under the influence of customer loyalty. In addition, the moderating effect of customer loyalty is different in that how the three dimensions of innovation resistance influence innovation adoption. From the perspective of affective response, when consumers become emotionally disgusted with innovative products, loyalty can hardly change their minds. When consumers' resistance to innovation comes more from cognitive evaluation or functioning, loyalty is more likely to change their resistance.

The paper tests mechanism between customer resist the new product and new product adoption and the moderate effect of customer loyalty.

The study aims to construct a model that illustrates the relationship between receiving and sharing negative electronic word-of-mouth (e-WOM), consumer resistance to innovation (CRI), and customer loyalty.

Utilizing questionnaire surveys and regression model analysis, this study examines the case of smartphones to explore the impact of customer loyalty and CRI on the spread of negative e-WOM.

The results show that when consumers receive negative e-WOM, it increases their resistance to innovation, consequently raising the probability of them sharing this negative feedback. However, strong customer loyalty mitigates this interaction. Interestingly, customer loyalty increases the likelihood of consumers sharing negative e-WOM upon receiving it. This suggests that loyal consumers tend to be more inclined to share information, regardless of its positivity or negativity.

The paper contributes by examining the mechanisms linking the receipt and dissemination of e-WOM, CRI, and customer loyalty, along with the moderating impact of customer loyalty.

The purpose of this paper is to discuss how the configurations of short life cycle, low quality, design and price, influence customer purchase intention in fast fashion and high technology industries in China.

The traditional thinking is that products with high quality and low price will win more customers. However, the authors can notice that high quality products usually have high cost. Therefore, it is necessary to do more research on how customers can accept low quality products. The authors take fast fashion products and smart phones as empirical studies, collecting data from customer’s online survey. Based on the methodology of fuzzy set qualitative comparative analysis, the authors analyse the relationship between the factors of short life cycle, low quality, design and price and influence customer purchase intention.

The authors find that price is the most important influencing factor. Low price is a strong competitive factor in the market. As to low quality products, low price can be achieved relatively more easily than with high quality products, resulting from relatively poorer raw material or configurations. Hence the connection between quality and price may give an idea to enterprises that customers will accept low quality products with low price. Moreover, according to the research, different generations are equally affected by the low price condition, regardless of customer gender and household income.

Because the study only focuses on fast fashion and smart phones industries, future work needs to replicate this study with individual data for different industries and with alternative methods to reinforce the confidence in the research. Meanwhile , this research studied mainly the customer perspective, it would be desirable to extend the study to the enterprise perspective and find out the difficulties that limit them in using low quality products to meet market needs. This may revel some cultural differences in purchase behavior among different countries and the discussed industries can be expanded to a larger area.

The study offers a number of managerial implications. With the rapid changes in people’s aesthetic sense and developing high-tech, it is more and more necessary for companies to think about how to win more customers and earn more profits. Low quality products have advantages as they will lower companies’ costs in many dimensions, improving the speed of supply. It helps firms to take low quality products into consideration and think whether they will influence different aspects of the company assistance firms to get a deeper understanding of customer psychology and make better decisions on their products.

The paper fills the gap in the research field by exploring how consumer behavior is affected by different conditions.

The purpose of this paper is to examine the interaction effect of endorser ethnicity (local Chinese vs Western) and portrayal (smart vs sexy) on Chinese women’s attitudes toward luxury advertisements and brands, as well as any moderating effect appearance self-esteem has on the above-mentioned interaction.

Two online experiments were conducted. Study 1 was a 2×2 factorial design (with 280 participants), while Study 2 was a 2×2 ×2 factorial design (with 320 participants). Data were analyzed using a multivariate analysis of variance (MANOVA) test and simple effect analysis.

Results demonstrated that Chinese female consumers are more likely to have a positive attitude toward advertisements for luxury goods and brands when a local Chinese (vs Western) endorser is used and portrayed as smart (vs sexy), particularly if consumers have low appearance self-esteem.

The research focused only on female consumers and only one product type was used for the experiments. The use of controls for potential confounding effects was insufficient in this study design.

To maximize profits, marketers should choose the most appropriate combination of endorser ethnicity and portrayal in the Chinese luxury goods market. Accordingly, if adopting a localization strategy and using a Chinese female endorser, the endorser should be portrayed as smart rather than sexy. In contrast, if a luxury brand adopts an internationalization strategy and uses the same Western female endorser as in other countries, it is more effective to portray her as sexy rather than smart. Furthermore, advertisers should pay particular attention to Chinese female consumers who have low appearance self-esteem when advertising their product and/or brand.

Compared with past studies concerned with consumers’ perceptions of endorser image in advertisements through a focus on endorser ethnicity, this study linked endorser portrayal with his/her ethnicity and discussed the interaction effects between these two factors on consumers’ attitudes toward the advertisement and the brand portrayed in the advertisement. The findings herein contribute new insights to the body of work on luxury marketing and endorser advertising.

The purpose of this paper is to investigate growth kinetics of interfacial Cu-Sn intermetallic compound (IMC) at the solid Cu/liquid Sn interface.

The Sn/Cu solid–liquid interfacial IMCs are fabricated under various soldering temperatures (240°C-270°C) and soldering times (5-240 s) by dipping method. The thickness and morphology of IMC are observed and analyzed by the optical microscope and scanning electron microscope.

Holding at 260°C, Cu/Sn solid–liquid interface Cu₆Sn₅ growth index experience a change from 0.08 to 0.30 within 10-190 s. The growth index is 0.08 in 10-40 s; the growth index is 0.30 in 40-190 s. Cu₆Sn₅ grain coarsening index is constant within 10-190 s. It is 0.13. The result of the index of Cu₆Sn₅ grain coarsening is different from predecessors 27 results Cu₆Sn₅ grain coarsening index for 1/3. This is because Cu₆Sn₅ grain grows at the expense of its near small grain to reduce the surface Gibbs free energy, and its morphology changes from regular shape to irregular shape. It sets up the mathematical expression about the initial formation time and temperature of Cu₃Sn in 240°C-270°C.

It obtains a mathematical model to express the changes of solid–liquid interface frontier concentration which has an effect on the interfacial Cu₆Sn₅ layer growth index and the Cu₆Sn₅ grain coarsening index. Different indexes can be obtained by establishing relevance equations, which can be used to predict the growth of the interface IMC layer. This mathematical model is established to design the solder pads and the sizes of the solder joints.

Distance is the core concept in tourism. However, previous studies focused on single distance dimensions and generated contradictory findings due to omitted variable biases. This paper aims to introduce the well-established CAGE (cultural, administrative, geographical, and economic) distance framework into international tourism research to measure the comprehensive distance and explore its impact on inbound tourist satisfaction.

The comprehensive distance was calculated based on the Mahalanobis formula. Combining tourist review data from TripAdvisor, this study used ordinary least square regressions to explore the influence of the comprehensive distance on inbound tourist satisfaction and the mediating role of inbound tourist emotion.

Results show that CAGE distance effectively describes the dynamic change in distance. The comprehensive distance also positively impacts tourist satisfaction, and tourist emotion plays a mediating role in this impact.

This paper advances knowledge about distance in international tourism by introducing the CAGE distance framework and addresses the contradictory findings with specific distance dimensions by the comprehensive distance.

距离是旅游的核心概念。然而, 以前的研究集中在单一的距离维度上, 并且由于遗漏变量偏差而产生了相互矛盾的结果。 本文旨在将成熟的 CAGE 距离框架引入国际旅游研究中, 以衡量综合距离并探讨其对入境游客满意度的影响。

综合距离根据马氏距离公式计算。 结合TripAdvisor网站的游客评论数据, 采用普通最小二乘（OLS）回归分析综合距离对入境游客满意度的影响以及入境游客情绪的中介作用。

结果表明, CAGE距离有效地描述了距离的动态变化。 综合距离也正向影响游客满意度, 游客情绪在此影响中起中介作用。

本文通过引入 CAGE 距离框架来提升国际旅游中的距离知识。 本研究还通过综合距离解决了特定距离维度的矛盾发现。

La distancia es el concepto central en el turismo. Sin embargo, estudios previos se han centrado en dimensiones de una sola distancia, generando resultados contradictorios debido a los sesgos por la omisión de variables. Este trabajo tiene como objetivo introducir el marco de distancia CAGE, establecido en la investigación turística internacional, con la intención de medir la distancia integral y explorar su impacto en la satisfacción del turista receptor.

La distancia integral se calculó con base en la fórmula de Mahalanobis. Combinando los datos de reseñas turísticas de TripAdvisor, se utilizaron regresiones de mínimos cuadrados ordinarios (OLS) para explorar la influencia de la distancia integral en la satisfacción del turista receptor y el papel mediador de la emoción del turista receptor.

Los resultados muestran que el modelo CAGE describe el cambio dinámico en la distancia de una forma efectiva. La distancia integral también impacta positivamente en la satisfacción del turista, y la emoción del turista juega un papel mediador en este impacto.

Este documento avanza en el conocimiento sobre la distancia en el turismo internacional mediante la introducción del marco de distancia CAGE. Además, aborda resultados contradictorios con las dimensiones de distancia específicas mediante la distancia integral.