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The purpose of this paper is to present a generic framework to assess and simulate outsourcing risks in the supply chain.

This combination approach involves a qualitative risk analysis methodology termed as the supply chain risk‐failure mode and effect analysis (SCR‐FMEA) which integrates risk identification, analysis and mitigation actions together to evaluate supply chain outsourcing risk. The qualitative risk assessment will allow risk manager to provide a visual presentation of imminent risks using the risk map. Monte Carlo simulation (MCS) on the imminent risks of delivery outsourcing using the Milk‐Run system is adopted.

With basic statistical concepts, key performance variables and the risk of delivery outsourcing are analyzed. It is found that a newly implemented delivery outsourcing arrangement on the Milk‐Run system reduces the average customer lead‐time and total cost. However, a certain extent of risk or uncertainty can still be detected due to the presence of variation.

This paper reveals that company can manage the risk by adopting a systematic method for identifying the potential risks before outsourcing and MCS can be applied for examining the quantifiable risks such as lead time and cost.

The paper provides a generic guideline for practitioners to assess logistics outsourcing, especially for logistics management consultants and professionals for evaluating the risk and impact of outsourcing. It is believed that the proposed risk assessment framework can help to analyze the operational cost uncertainty and ensure the stability of the supply chain. However, the limitation of this research is that the full spectrum of outsourcing risk, especially the non‐quantifiable risk may not be analyzed by MCS.

This paper proposed an integrated framework which combines qualitative and quantitative method together for managing outsourcing risk. This research provides a standardized metric to quantify risk in the supply chain so as to determine the effectiveness of outsourcing.

With its worldwide fame for making action films, Hong Kong cinema has been defined as masculine. Action films, including the costumed martial arts films and the modern gangster films, have been a major genre in Hong Kong cinema from the 1960s on. Despite the dominant masculinity, women still play significant roles in some of these films. In fact, fighting women leave footprints in the history of Hong Kong cinema, which precede their counterparts in the West and even provide models for Hollywood after 2000.

This chapter focuses on the female characters portrayed by the acclaimed Hong Kong director Wong Kar-wai, whose works have an ambiguous connection to mainstream genres. He modifies Hong Kong action films and creates unconventional female characters such as the drug dealer in Chungking Express (1994), the killer dispatcher in Fallen Angels (1995), the swordswoman in Ashes of Time (1994), and the kung fu master in The Grandmaster (2013). Wong's films have been mush discussed in academia, but the gender images therein are quite ignored. With high intertextuality, these characters are used to question mainstream action films and redefine women's roles in male's cinematic space. In addition, via the writing of these women, Wong constructs an open and ambivalent post-colonial Hong Kong identity. This paper contextualises the figures of sword-wielding and gun-shooting women and examines how Wong Kar-wai deploys these images to articulate the cultural identity of a post-colonial city.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

Recently, inland Chinese regions have become the major manufacturing base for most manufacturing firms. Accordingly, with this change, many shipping companies attempted to provide proper logistics service activities to maintain their business. Hence, this study aims to empirically examine the logistics service preference segments for Chinese landlocked regions from a manufacturer's perspective. By understanding these attributes, not only shipping companies but also logistics companies can provide proper service to their customers.

The preliminary logistics service attributes are determined using an interview and in-depth questionnaire with logistics experts from the local private and government sectors in southwest China and few international logistics coordinators. This study conducted importance-performance analysis (IPA) and used a customer dissatisfaction attitude index to evaluate the priorities for improving logistics service attributes. Cluster analysis is subsequently performed to group respondents on the basis of their factor scores.

Five crucial logistics service dimensions were identified by the factor analysis, namely, packing and storage, logistics supporting, logistics information, transportation planning and information inquiry. The results also revised the IPA model. The top five service attributes that needed to be improved were carrier selection, ship scheduling inquiry, route planning and inquiry, cargo receiving station and freight forwarding. By applying the factor analysis, this study reduced the 27 logistics attributes derived from the literature review to five underlying critical factors.

This study contributes to the inland logistics by investigating the preferences of manufacturers in Chinese landlocked regions. Moreover, in land logistics in China is lacking in the literature; hence, several important implications can be derived from this study's results.

In the early industrial age which with high intensity of machine and labor, using financial measurement index was good enough to tie in company’s mechanization and philosophy of management and been in efficiency. But being comply with “New Economic age,” a new economic environment is full of knowledge and information, the enterprise competition had changed from tangible assets, plants to intangible innovation ability of knowledge. As recognizing the new tendency by enterprise, they value gradually the growth and influence from learning. Practice of organization learning not only needs firm structure and be in coordination with both hardware and software, but also needs an affect measurement model to offer enterprise to estimate learning performance. It’s a good instrument of financial performance measure mold in the past years, But it’s for measuring the past, couldn’t formulate enterprise trend to future, hard to estimate investment for future, such as development of products, organization learning, knowledge management etc, as which intangible assets and knowledge ability just the key factors of being win around competition environment in the future. In 1992, Kaplan and Norton brought up Balance Scorecard (BSC) on Harvard Business Review, as an instrument helping enterprise to measure performance, which is being considered to be a most influence management instrument. It added non‐financial index such as customer, internal process and learning growth besides traditional financial index, as offering enterprise an index to measure and manage intangible assets and intellectual property. As being aware of organization learning is hard to be ignored in the new economic age, this research is based on learning and growth of BSC, and citing one national material company try to let the most difficult measurement performance of organization learning, to be estimate through BSC, analyze of factor and individual case, to discuss the company how to make the related strategy and vision of organization learning to develop learning and growth of the structure of BSC, subject the matter of out put factors to be discussed, and measure the outcomes as a result of research. The research affect offers (1) the base implement procedure of carrying out BSC; (2) the reference of formulating measurement index while enterprise using BSC to estimate performance of organization learning; (3) the possibility bottleneck maybe forcing while carrying out BSC, to be an improvement or preventive for enterprise.

The purpose of this paper is to examine the abnormal stock return of Hong Kong real estate firms following news of land acquisition and identify determinants to the abnormal stock return.

The paper employs the event‐study methodology and multivariate regression to test factors that are hypothesized to have effects on the abnormal return.

The paper indicates that on land acquisition announcement there is a significant positive price reaction. Also the market capitalization and debt‐to‐equity ratio of a firm is associated negatively with the level of abnormal price reaction.

This study has identified significant positive abnormal stock return following the news of land acquisitions by developers in the context of Hong Kong. It has also documented negative correlation between abnormal stock return and two specific factors of a firm, namely, market capitalization and debt‐to‐equity ratio.

This paper identifies significant positive abnormal stock return pursuant to land acquisitions by firms.

The fund selection process of investors in a mutual fund needs to be understood for designing better marketing strategies. Knowledge and perception about the mutual funds can affect investor’s behaviour towards information search and selection criteria during the decision process. Therefore, this study aims to examine Indian mutual fund investors under the framework of Theory of Planned Behaviour and consumer’s behaviour model.

The data have been collected from mutual fund investors in the National Capital Region–Delhi, India, through structured questionnaire. The collected data were examined with relevant statistical tools.

Knowledge and perception affect information search behaviour of the investor. Investors having better knowledge of mutual funds access impersonal sources of information and performance of fund affects their choice, whereas investors having lesser knowledge of mutual fund take advice of experts and select funds based on fund characteristics. Investors with better return perception for mutual funds ignore performance as selection criteria, whereas investors having poor risk perception tend to reduce their bias by accessing personal sources of information. Education and income of investor affect knowledge and perception of mutual funds.

The financial advisor-driven investors ignore performance as selection criteria and could lead to dissatisfaction later. Therefore, to make the industry investor driven, mutual funds need to focus on improving the knowledge of investors.

This paper shows the unique effect of knowledge and perception on information search behaviour of investors towards mutual funds. The knowledgeable investor selects mutual funds by understanding all risks and benefits.