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The purpose of this paper is to explore how a neo-liberal nationalist discourse of China imagines the spatial identity of the post-1997 Hong Kong with reference to Lost in Hong Kong, a new Chinese middle-class film in 2015 with successful box office sales.

Textual analysis with the aid of psychoanalysis, postcolonial studies and semiotics is used to interpret the meaning of the film in this study. The study also utilizes the previous literature reviews about the formation of the Chinese national identity to help analyze the distinct identity of the Chinese middle class today.

The discussion pinpoints how the new Chinese middle class as neo-liberal nationalists take Hong Kong as a “bizarre national redemptive space”. While Hong Kong is cinematically constructed as such a national other, this paper argues that the Hong Kong in question stands not for itself but in a form of “reverse hallucination” for pacifying the new Chinese middle class’ trauma under the rapid neo-liberalization of China in the 1990s.

This paper shows the new of formation of the Chinese nationalist’s discourse, especially the new Chinese middle-class discourse on Hong Kong after 1997.

Few studies have explored how to foster green customer citizenship behavior. Therefore, the aim of this study was to understand the factors influencing green customer citizenship behavior in a restaurant context.

This study proposes a conceptual model, based on previous studies, hypothesizing that green attributes transparency engenders green brand image and green trust, which together facilitate green customer citizenship behavior. The authors used structural equations modeling with data collected from 312 consumers in Taiwan to do the analysis.

The findings indicate that green attributes transparency plays a strong role in determining green brand image and green trust, which enhance green customer citizenship behavior. Managerial implications to aid businesses in developing strategies to enhance their ability to foster green citizenship behavior among its consumers for competitive advantage is also provided, together with an outline of the limitations of the study.

This study used the concept of stimulus–organism–response to test the stimuli of green attributes transparency to enhance customer citizenship behavior mediated by green brand image and green trust. This study makes two theoretical contributions. First, this study extended the concept of attributes transparency, brand image, trust and customer citizenship behavior to a green context. The authors developed a research framework and confirmed that green attributes transparency facilitate green brand image and green trust, which contribute to green customer citizenship behavior. Second, there is no prior study exploring the relationship between green attributes transparency, green brand image, green trust and green customer citizenship behavior. The empirical support for the model developed in this study is based on empirical data of Taiwan restaurant consumers.

The purpose of the study is to examine the interaction between the structure of the top management team, takeover defense mechanisms and firms rate of collective actions.

The study uses elements of agency theory, prospect theory and competitive dynamics research to develop a model for examining heterogeneity in the rate of collective actions among firms in the technology sector. A sample of 299 firm-year observations arrayed into panel regression analyses is used.

The findings from this study show a positive relationship between the size of the top management team and the count of collective actions when takeover defense mechanisms are present. Further this study finds a negative relationship between top management team ownership and collective actions when these same takeover defense mechanisms are present. Additionally, the female ratio of the top management team is negatively related to collective actions.

This study was conducted using a sample of technological firms. These relationships may not be generalizable to firms in other contexts. Further, other elements of the firm’s governance structure (i.e. board of directors or shareholders) may play an important role in the strategic decision-making process.

This study expands on existing research by linking several blocks of literature, top management team literature, competitive dynamics literature and corporate governance literature, into a model to examine firm structural characteristics on the heterogeneity in the propensity to formulate collective actions among firms.

The purpose of this study is to examine the relationship between board dependence, antitakeover provisions and their influence on corporate entrepreneurship (CE).

The study uses agency theory as a framework to expand on the board dependence–CE relationship by injecting the moderating role of antitakeover provisions to the model. Using data collected from 350 publicly traded firms, a panel regression analyses was conducted on both innovation and venturing components of CE.

The findings of this study show a negative relationship between board dependence and CE. Further this study shows that such a negative relationship becomes weaker when higher levels of antitakeover provisions are injected into the model.

This study was conducted using a sample of large publicly traded firms within the information and manufacturing sectors, and so our findings may not be generalizable to firms in other contexts. Further, other variables representing CE (e.g. new product introductions) may add to this line of research in the future.

Understanding the role of board of directors within a firm may help foster CE throughout the organization.

This study expands on existing research by incorporating the influence of environmental factors (e.g. antitakeover provisions) and examining the relationship between corporate governance and CE using both measures of innovation and venturing.

This paper aims to examine the potentials of using automated guided vehicle (AGV) technology in modular integrated construction (MiC) to realise logistics automation in module manufacturing and transport.

This paper adopts a scenario approach through three phases (i.e. scenario preparation, development and transfer), with six steps performed iteratively. The scenarios were systematically developed using a six-aspect socio-technical framework. Data were collected through a comprehensive literature review, site visits and interviews with relevant stakeholders and professionals. Implications regarding strength, weakness, opportunities and challenges and future research directions are provided.

The developed scenarios of “smart manufacturing” and “last-mile delivery” demonstrated how AGVs could be used to enhance efficiency and productivity in module manufacturing and transport. The synergies between AGVs and emerging information technologies should pave a good foundation for realising logistics automation in MiC. Future research should address: how to define the tasks of AGVs, how will the use of AGVs impact MiC practices, how to design AGV-integrated module manufacturing/transport systems and how to integrate people factors into the use of AGVs in MiC.

This paper reveals the socio-technical benefits and challenges of using AGVs in MiC.

This study extends the understanding of using logistics automation in MiC as emerging research directions, with the intention of directing scholars’ and practitioners’ interest into future exploration. It is the first attempt in its kind. Its findings could be extended to constitute a comprehensive development roadmap and prospects of automation in modular construction.

The purpose of this paper is to study the variation of the mechanical strength and failure modes of solder balls with reducing diameters under conditions of multiple reflows.

The solder balls with diameters from 250 to 760 µm were mounted on the copper-clad laminate by 1-5 reflows. The strength of the solder balls was tested by the single ball shear test and pull test, respectively. The failure modes of tested samples were identified by combing morphologies of fracture surfaces and force-displacement curves. The stresses were revealed and the failure explanations were assisted by the finite element analysis for the shear test of single solder ball.

The average strength of a smaller solder ball (e.g. 250 µm in diameter) is higher than that of a larger one (e.g. 760 µm in diameter). The strength of smaller solder balls is more highly variable with multiple reflows than larger diameters balls, where the strength increased mostly with the number of reflows. According to load-displacement curves or fracture surface morphologies, the failure modes of solder ball in the shear and pull tests can be categorized into three kinds.

The strength of solder balls will not deteriorate when the diameter of solder ball is decreased with a reflow, but a smaller solder ball has a higher failure risk after multiple reflows. The failure modes for shear and pull tests can be identified quickly by the combination of force-displacement curves and the morphologies of fracture surfaces.

The purpose of this article is to design and make fabrics with colorful melange yarns spun by a three-channel rotor spinning machine.

The three-channel digital rotor-spun machine controls the blending proportion by adjusting the feeding of three-primary color fiber slivers online, so that a piece of colorful yarn presents a variety of colors along the longitudinal direction where constant yarn linear density can be produced flexibly. Various fabric patterns can be produced by three-channel rotor-spun colorful melange yarn with different periods of color.

The fabric, made by the rotor-spun colorful melange yarn, is rich in color, clear in layers, soft in the hand and has a hazy three-dimensional effect. The product is environmentally friendly and saves energy.

An innovative idea to develop various colorful fabrics is proposed by combining their pattern with colorful melange yarn produced by a three-channel rotor spinning machine.

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 this paper is to examine the direct and interactive effects of audit service quality and audit market concentration on performance of public accounting firms in Taiwan.

Empirical data of this study come from registered public accounting firms in Taiwan, an industrial data. From the perspective of industrial economics and based on the structure-conduct-performance paradigm (Cowling and Waterson, 1976), this study use OLS to test the linear regression equation.

Empirical results indicate that both audit service quality and audit market concentration have positive effects on performance. The interaction terms between audit service quality and audit market concentration are positively related to performance.

This documents that human capital is the core resource in public accounting firms which could enhance performance through higher audit service quality under intense market competition. Specifically, facing increasingly competitive audit market, public accounting firms response to the hostile situation by employing auditors with higher educational level, more work experience, with professional licenses, and taking more continuing professional education.

Few previous researches consider the effects of either market concentration or audit service quality on firm performance. This study simultaneously examines the relation among audit service quality, audit market concentration, and performance of public accounting firms. With the results, this study contributes knowledge to human resource and quality management-related literatures.

This paper aims to examine the relationship between the characteristics of strategic decision-making team’s mental model and its performance. The authors propose that the relationship between mental models and performance is two-way, rather than one-way. Thus, performance feedback should, in turn, influence strategic behavior and future performance by either triggering or hindering the learning process.

The authors conduct the research in the setting of a simulation experiment. A longitudinal data set was collected from 36 teams functioning as strategic decision makers over three periods.

This study provides support for the positive impacts of both the complexity and centrality of a team’s mental model on its performance. The authors also find that positive performance feedback reduces changes in complexity and centrality of team mental models due to cognitive inertia.

The study contributes to the literature by investigating the specific mechanisms that underlie mental model evolution. Different from the existing studies on team mental models that mainly focus on similarity of these shared cognitive structures, this study examines another two characteristics of team mental model, complexity and centrality, that are more relevant to the strategic decision-making process but has not been extensively studied in the team literature. In addition, this study reveals that performance feedback has different effects on team mental models depending on the referents – past performance or social comparison – which advances the understanding of the learning effects of performance feedback.