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The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second, the authors link these phenomena to the contextualization of job embeddedness theory. To achieve the goal, the authors begin by introducing three macro-level forces (i.e., political, economic, and cultural forces) in China that help scholars analyze contextual issues in turnover studies. The authors then provide findings in the literature research on employee retention studies published in Chinese academic journals. Next, the authors discuss six indigenous phenomena (i.e., hukou, community in China, migrant workers, state-owned companies, family benefit prioritization, and guanxi) under the three macro-level forces and offer exploratory propositions illustrating how these phenomena contribute to understanding employee retention in China. Finally, the authors offer suggestions on how contextualized turnover studies shall be conducted in China.

Extending the proposition that boards of directors influence firms’ mergers and acquisitions (M&As), studies have investigated how board interlocks – network ties formed by directors — may shape M&A processes and outcomes. While board interlocks and M&As are two streams of research, each underpinned by voluminous studies, their cross-fertilization has been relatively limited. In this chapter, the authors take stock of prior research investigating the relationship between board interlocks and M&As. Specifically, emphasizing the network features of board interlocks, the authors highlight a connection aspect and a structure aspect of board interlocks in appreciating their effects during pre-acquisition and post-acquisition phases. Based on this framework, the authors then lay out a research agenda that can further bridge board interlocks with M&As. Overall, this chapter endeavors to integrate and expand our knowledge on the acquisition implications of board interlocks.

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.

This paper points out new directions for the deepening and broadening of the institution-based view, by drawing on three streams of research with which I have been involved recently: (1) outward foreign direct investment from emerging economies, (2) bankruptcy laws and entrepreneurship development, and (3) institution-based research focusing on Africa. Such deepening has been accomplished by enhancing our institution-based understanding of foreign direct investment with a focus on emerging multinationals, while broadening has been done both substantively by probing into the impact of bankruptcy laws on entrepreneurship development around the world and geographically by calling for enhanced research attention on Africa via an institution-based lens.

The purpose of this paper is to explore the basic loading state in local loading forming process of large-sized complicated rib-web component, which is important for understanding process characteristic, controlling metal flow and designing preformed geometry of the local loading forming process. Moreover the analytical models for different loading states are established to quickly predict the metal flow.

Through analysis of geometric characteristic of large-sized complicated rib-web component and the deformation characteristic on planes of metal flow by local loading method, a representative cross-section is put forward and designed, which could reflect the local loading forming characteristics of large-sized complicated rib-web component. Finite element method (FEM) is used to analyze the stress and metal flow, and the analytical models of metal flow are established by using slab method (SM).

Three local loading states and one whole loading state are found in the local loading forming process of representative cross-section. Further, four loading states also exist in local loading forming process of large-sized complicated rib-web components. With the metal distribution in the process, some local loading states may turn into whole loading state. For the representative cross-section, the relative error of metal distribution between SM and FEM results is less than 15 per cent, and the relative error of metal in the rib cavity between SM and FEM results is less than 10 per cent.

Metal flow can be controlled by adjusting the loading states in the process. According to the metal flow laws in different loading states, a simple unequal-thickness billet can be designed to achieve initial metal distribution, and then, the secondary metal distribution can be achieved in the process.

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.

This paper aims to empirically analyse specific characteristics of an audit committee that could be associated with the likelihood of corporate fraud/scandal/sanctions.

The sample includes all firms that were investigated by the Financial Reporting Council through the audit enforcement procedure from 2014 to 2019, and two matched no-scandal firms. It uses logistic binary regression analysis to examine the hypotheses.

Results based on the logit regression suggest that audit member tenure and audit committee meeting frequency both have positive associations to the likelihood of corporate scandal. Complementing this result, the authors find negative but insignificant relationships amongst audit committee female chair, audit committee female members percentage, audit committee qualified accountants members, audit committee attendance, number of shares held by audit committee members, audit committee remuneration, board tenure and the likelihood of corporate scandal across the sample.

The results should help regulatory policymakers make decisions, which could be crucial to future corporate governance. Additionally, these results should be useful to investors who use corporate governance as criteria for investment decisions.

The authors extend, as well as contribute to the growing literature on the audit committee, and therefore, wider corporate governance literature and provide originality in that it is the first, to the knowledge, to consider two characteristics (i.e. remuneration and gender) in a UK context of corporate scandal. Also, the results imply that the structure and diversity of the audit committee affect corporate fraud/scandal/sanctions.

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 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.