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Not all apps can be favored on a smartphone. Users are bound to abandon some if they lose value. Analyzing the reasons behind this phenomenon can help develop strategies for avoiding app abandonment, which is the focus of this study.

This study conducted in-depth open interviews with 47 respondents who had abandoned or deleted mobile apps before and used the qualitative research method grounded theory to analyze the interview content, followed by open coding, axial coding and selective coding.

Seven main reasons are summarized after the relationship between every statement and concept is found and constructed, namely functional value, information expectation, emotional value, platform service, user trust, cost, and social influence.

Based on these findings, this study provided suggestions for mobile app developers to help them effectively improve the user experience and retain their customers.

Since China initiated its “go global” policy that promotes its overseas investment, China’s Outward Foreign Direct Investment (OFDI) has increased almost twenty times during the last 10 years, reaching $55.9 billion in 2008. The issue of internationalization of Chinese OFDI has attracted increasing attention of researchers from a business perspective. This article systematically reviews the previous studies on overseas investments by Chinese MNEs and discusses the characteristics of Chinese internationalization behavior at both firm level and country level. The internationalization of Chinese companies cannot be understood as a simple game of “catch up” with established MNEs, and more firm‐level empirical studies should be carried out on how these characteristics influence firms’ strategic decisions.

The purpose of this paper is to examine the interaction between large Chinese firms as they internationalize and their home and host governments.

The approach taken is that of an analysis of relevant literature and the application of a popular theoretical framework by Rugman and Verbeke to the case of Chinese firms as they expand abroad.

First, the paper adapts a well-known business-government framework to analyze emerging economy issues, all in a Chinese context. Then the paper relates this analysis to the existing literature on the international expansion process of Chinese firms. The paper finds that in their attempt to seek strategic assets, Chinese multinational enterprises (MNEs) face conflicts with host countries and Western firms in which host government support for international competitiveness can be used as quasi protectionist defense mechanisms. Using the public policy and MNE framework, the paper examines several recent disputes and finds that Chinese MNEs have complementary goals with the Chinese state, but they have conflicting goals with Western governments.

These findings have important academic research, managerial, and public policy implications.

This comment aims to join the discussion raised by Peng et al. regarding the social responsibility of international business (IB) scholars in the case of Chinese outward foreign direct investment (OFDI), and to provide a subject overview about it.

In response to Peng et al.'s paper, this comment focuses on three issues, i.e. the myth of Chinese OFDI, round‐tripping, and state‐owned enterprises (SOEs).

Owing to a short period of accumulation, the scale of Chinese OFDI stock is small compared to the global total. However, with its momentum, it may become a threat in the long term. Apart from round‐tripping, tax havens such as Hong Kong have multiple functions for Chinese companies to invest in. Although the size of foreign investments conducted by private companies remains small, their role in Chinese OFDI should not be ignored.

The arguments made in this comment are mainly built upon the data from the official publications, which could present a broad but superficial view of the Chinese OFDI. In order to fill research gaps such as the internationalisation behaviour of Chinese OFDI in tax havens, more stories need to be explored.

This comment discusses several issues that have been mentioned by Peng et al. but have been explored less in the literature, such as how to view Chinese OFDI in Hong Kong, and how to view the role of private companies.

The performance of behavioral targeting (BT) mainly relies on the effectiveness of user classification since advertisers always want to target their advertisements to the most relevant users. In this paper, the authors frame the BT as a user classification problem and describe a machine learning–based approach for solving it.

To perform such a study, two major research questions are investigated: the first question is how to represent a user’s online behavior. A good representation strategy should be able to effectively classify users based on their online activities. The second question is how different representation strategies affect the targeting performance. The authors propose three user behavior representation methods and compare them empirically using the area under the receiver operating characteristic curve (AUC) as a performance measure.

The experimental results indicate that ad campaign effectiveness can be significantly improved by combining user search queries, clicked URLs and clicked ads as a user profile. In addition, the authors also explore the temporal aspect of user behavior history by investigating the effect of history length on targeting performance. The authors note that an improvement of approximately 6.5% in AUC is achieved when user history is extended from 1 day to 14 days, which is substantial in targeting performance.

This paper confirms the effectiveness of BT on user classification and provides a validation of BT for Internet advertising.

The aim of this paper is to achieve a reasonable microclimate between clothing and the human body and optimize the custom dress pattern.

An interactive design method of 3D modeling, virtual try-on and heat transfer simulation are used. First, a 3D dress is designed with nonuniform rational B-splines curves and tried on virtually. After that, the heat transfer in the body-air-clothing microclimate and temperature distributions on the clothing surface are obtained. Based on the heat transfer in the body-air-clothing system, we design a method to improve the thermal comfort by optimizing the garment pattern digitally. Then, this paper utilized two heat transfer validating indexes to quantify the improvement of thermal comfort, and evaluate the modified model of dress.

The microclimate under the clothing is varied with the air gap distance, and the heat transfer on the area of the clavicle, bust point and front abandon are higher than other parts due to the narrow air gaps. In view of thermal comfort, the pattern optimization changes the distance ease and reforms the air circulating efficiency. The mean heat transfer and its standard variance are changing by about 10% and more than 20%. Thus, the heat transfer evaluation indexes are suitable to represent the heat transfer and thermal comfort in the microclimate system.

It can be concluded that the methodology proposed in this paper has the advantage of interactive design, 3D visualization and local heat transfer simulation. This technology meets the need of personalized customization and well-considered garment and has broad application prospects.

This study demonstrates that modifying the distance ease on body key girths based on heat transfer is a reliable way to improve thermal comfort. This method meets the consumers’ demand of the comfort of body-fit clothing under the condition of daily activities.

• 3D air gap distributions.

• Heat transfer varies with air gap distance.

• Thermal comfort can be improved by optimizing garment pattern.

3D air gap distributions.

Heat transfer varies with air gap distance.

Thermal comfort can be improved by optimizing garment pattern.

The main purpose is to construct the mapping relationship between garment flat and pattern. Particle swarm optimization–least-squares support vector machine (PSO-LSSVM), the data-driven model, is proposed for predicting the pattern design dimensions based on small sample sizes by digitizing the experience of the patternmakers.

For this purpose, the sleeve components were automatically localized and segmented from the garment flat by the Mask R-CNN. The sleeve flat measurements were extracted by the Douglas–Peucker algorithm. Then, the PSO algorithm was used to optimize the LSSVM parameters. PSO-LSSVM was trained by utilizing the experience of patternmakers.

The experimental results demonstrated that the PSO-LSSVM model can effectively improve the generation ability and prediction accuracy in pattern design dimensions, even with small sample sizes. The mean square error could reach 1.057 ± 0.06. The fluctuation range of absolute error was smaller than the others such as pure LSSVM, backpropagation and radial basis function prediction models.

By constructing the mapping relationship between sleeve flat and pattern, the problems of the garment flat objective recognition and pattern design dimensions accurate prediction were solved. Meanwhile, the proposed method overcomes the problem that the parameters are determined by PSO rather than empirically. This framework could be extended to other garment components.

The world of the Action Film is a complex one. Whilst explosions may go off around the hero or heroine, skyscrapers crash into rubble, cars smash into one another, or the villain lives to fight on in another sequel, one thing is certain: the action film, loved and loathed in equal measures, remains a staple genre in cinema.

Sylvester Stallone's first appearance as John Rambo in First Blood was in 1982. It seems only logical, then, that this first edited collection in a three-volume publication is dedicated to the first 20 years in which action cinema began in earnest and grew to what it is today. By focusing on the 1980s to 2000, it becomes apparent that the action film is not simply gung-ho heroics played out to an expectant audience. Rather, it is a complex one, and one that demands further investigation.

This cutting-edge collection focuses on such areas of study include new, exciting and bold work on gender linked to vehicles, an LGBTQ+ case study of the Angel trilogy, star studies of Keanu Reeves and Arnold Schwarzenegger, sword and sorcery films, buddy-buddy cop movies, international examinations of action in both the films of Wong Kar-Wei and Colombian national cinema, and much more. Each chapter is housed within an academic framework and in-depth analysis is throughout.

This is the first volume in Emerald Publishing's bold examination of gender in action cinema. The following volumes will look at post-2000 work, focusing on Stars, Warriors, Bombshells and Atomic Blondes, and Transformations in action cinema. Much work has been written on action cinema, but in this collection you will time travel back to two decades in which one of the most spectacular genres erupted onto cinema screens. Whilst the action movie may still have its detractors, this book has been written for you to explore the complexities of gender portrayals in this genre. Above all else, it has been written for you to enjoy.

Humanoid robots should have the ability of walking in complex environment and overcoming large obstacles in rescue mission. Previous research mainly discusses the problem of humanoid robots stepping over or on/off one obstacle statically or dynamically. As an extreme case, this paper aims to demonstrate how the robots can step over two large obstacles continuously.

The robot model uses linear inverted pendulum (LIP) model. The motion planning procedure includes feasibility analysis with constraints, footprints planning, legs trajectory planning with collision-free constraint, foot trajectory adapter and upper body motion planning.

The motion planning with the motion constraints is a key problem, which can be considered as global optimization issue with collision-free constraint, kinematic limits and balance constraint. With the given obstacles, the robot first needs to determine whether it can achieve stepping over, if feasible, and then the robot gets the motion trajectory for the legs, waist and upper body using consecutive obstacles stepping over planning algorithm which is presented in this paper.

The consecutive stepping over problem is proposed in this paper. First, the paper defines two consecutive stepping over conditions, sparse stepping over (SSO) and tight stepping over (TSO). Then, a novel feasibility analysis method with condition (SSO/TSO) decision criterion is proposed for consecutive obstacles stepping over. The feasibility analysis method’s output is walking parameters with obstacles’ information. Furthermore, a modified legs trajectory planning method with center of mass trajectory compensation using upper body motion is proposed. Finally, simulations and experiments for SSO and TSO are carried out by using the XT-I humanoid robot platform with the aim to verify the validity and feasibility of the novel methods proposed in this paper.