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This paper aims to explore the interlock-performance relationship among mainland Chinese firms listed in Hong Kong by taking advantage of a relationship-intensive context whereby such a link is likely to be especially important. Although strategic networks such as interlocking directorates have been found to affect a number of strategic behaviors, the link connecting board interlocks and corporate performance has remained ambiguous. Considerable light has been shed on the strategic networks of firms whose shares are listed abroad, which have been under-studied despite their rising importance in the global economy.

Data come from a particularly interesting historical period – the early 1990s prior to Hong Kong’s 1997 handover to China. Both quantitative and qualitative research have been used.

Empirically, it was found that good performance in an earlier period helps draw outside directors in a later period, and that network centrality and certain types of interlocks help improve performance, albeit with varying degrees. Overall, our results answer the question whether strategic networks such as interlocks matter for corporate performance with a qualified “yes”.

Taking advantage of a relationship-intensive context, this article explores the interlock-performance relationship among mainland Chinese firms listed in Hong Kong. Focus is specifically on the two years, 1993 and 1995, due to their specific historical importance because these two years represent the beginning of Chinese firms’ listing in Hong Kong.

Conventional theories of market entry assume choice availability. This investment assumption is subject to challenges in the power generation market of an emerging economy where the host government controls most key resources and market entry choices. With such constraints, entrants become heavily dependent on their host country partners. This study investigates how the resource dependency frameworks explain better in respect of some US power generation firms that manage to operate electricity facilities in China whereas some have to abort. Using cross‐case analysis, patterns emerged illustrate how two groups of entrants manage key resources differently.

The purpose of this paper is to explore the psychological adjustment process of expatriates from Chinese multinational enterprises, including how their social capital affects this process.

This qualitative investigation was based on semi-structured, in-depth interviews with 26 Chinese expatriates. The grounded theory method was applied to guide the data collection and analysis.

The psychological adjustment process of Chinese expatriates includes three periods: crisis, self-adjustment and self-growth period. In addition, bonding capital (including organizational, family and co-cultural colleagues’ support) is more conducive to Chinese expatriates’ psychological well-being than bridging capital (e.g. host-nationals’ support). Finally, a separation acculturation strategy is more conducive to psychological adjustment, rather than an integration strategy.

This study focused on expatriates themselves. Future research should consider other stakeholders (e.g. organizations, family), and examine expatriate adjustment from new perspectives (e.g. strategic human resource management, work-family balance). This study had a small sample and focused on only one organization. Future research could usefully add other Chinese multinational corporations, and other Chinese expatriates to expand the generalizability of the current findings.

This study suggests the possible benefits of management practices for expatriates. Organizations can develop an “expatriate bubble” to help structure basic life overseas. Organizations could develop family-support programs and make them expatriate-supportive. Organizations should also strengthen the connections between expatriates and local colleagues.

Few scholars have elaborated on how different support groups (based on their cultural backgrounds) influence the psychological adjustment of expatriates. Until now, mainland Chinese expatriates have received little attention. In addition, this research takes a significant step forward by illuminating the psychological adjustment of Chinese expatriates from a social capital perspective.

This monograph contains abstracts from the 2005 Employment Research Unit Annual Conference Cardiff Business School, Cardiff University, 6‐7th September 2005

The purpose of this paper was to develop an integrated framework for assessing the flood risk and climate adaptation capacity of an urban area and its critical infrastructures to help address flood risk management issues and identify climate adaptation strategies.

Using the January 2011 flood in the core suburbs of Brisbane City, Queensland, Australia, various spatial analytical tools (i.e. digital elevation modeling and urban morphological characterization with 3D analysis, spatial analysis with fuzzy logic, proximity analysis, line statistics, quadrat analysis, collect events analysis, spatial autocorrelation techniques with global Moran’s I and local Moran’s I, inverse distance weight method, and hot spot analysis) were implemented to transform and standardize hazard, vulnerability, and exposure indicating variables. The issue on the sufficiency of indicating variables was addressed using the topological cluster analysis of a two-dimension self-organizing neural network (SONN) structured with 100 neurons and trained by 200 epochs. Furthermore, the suitability of flood risk modeling was addressed by aggregating the indicating variables with weighted overlay and modified fuzzy gamma overlay operations using the Bayesian joint conditional probability weights. Variable weights were assigned to address the limitations of normative (equal weights) and deductive (expert judgment) approaches. Applying geographic information system (GIS) and appropriate equations, the flood risk and climate adaptation capacity indices of the study area were calculated and corresponding maps were generated.

The analyses showed that on the average, 36 (approximately 813 ha) and 14 per cent (approximately 316 ha) of the study area were exposed to very high flood risk and low adaptation capacity, respectively. In total, 93 per cent of the study area revealed negative adaptation capacity metrics (i.e. minimum of −23 to <0), which implies that the socio-economic resources in the area are not enough to increase climate resilience of the urban community (i.e. Brisbane City) and its critical infrastructures.

While the framework in this study was obtained through a robust approach, the following are the research limitations and recommended for further examination: analyzing and incorporating the impacts of economic growth; population growth; technological advancement; climate and environmental disturbances; and climate change; and applying the framework in assessing the risks to natural environments such as in agricultural areas, forest protection and production areas, biodiversity conservation areas, natural heritage sites, watersheds or river basins, parks and recreation areas, coastal regions, etc.

This study provides a tool for high level analyses and identifies adaptation strategies to enable urban communities and critical infrastructure industries to better prepare and mitigate future flood events. The disaster risk reduction measures and climate adaptation strategies to increase urban community and critical infrastructure resilience were identified in this study. These include mitigation on areas of low flood risk or very high climate adaptation capacity; mitigation to preparedness on areas of moderate flood risk and high climate adaptation capacity; mitigation to response on areas of high flood risk and moderate climate adaptation capacity; and mitigation to recovery on areas of very high flood risk and low climate adaptation capacity. The implications of integrating disaster risk reduction and climate adaptation strategies were further examined.

The newly developed spatially explicit analytical technique, identified in this study as the Flood Risk-Adaptation Capacity Index-Adaptation Strategies (FRACIAS) Linkage/Integrated Model, allows the integration of flood risk and climate adaptation assessments which had been treated separately in the past. By applying the FRACIAS linkage/integrated model in the context of flood risk and climate adaptation capacity assessments, the authors established a framework for enhancing measures and adaptation strategies to increase urban community and critical infrastructure resilience to flood risk and climate-related events.

This paper aims to test whether passive Wi-Fi visitor analytics is a useful and effective method to measure consumer engagement towards food trucks located within an outdoor activation area at an Australian metropolitan university.

Using passive Wi-Fi visitor analytics to ping and track smart devices, data was collected over 90 weekdays capturing data from 522,548 unique smart devices.

The data collected in this feasibility study was able to identify the most and least popular food trucks by displaying the differences in both bounce and engagement rates, suggesting that passive Wi-Fi visitor analytics are feasible and useful in this context. Furthermore, the results also demonstrate that food truck vendors and marketers should not engage in random rotation, but instead remain static to try and increase familiarity.

Current visitor tracking technology (i.e. ticketed sales, sales data and survey) is limited as it may not provide an accurate measurement of foot traffic, identify engaged patrons who passed by but did not complete a purchase and be available due to commercial sensitivity and confidentiality. Thus, the current research is the first to examine customer engagement (i.e. unengaged walk-by vs engaged but bounced vs engaged sales) with food trucks within an activation area by using passive Wi-Fi visitor analytics.

当前的论文旨在研究被动 Wi-Fi 访客分析是否是衡量消费者对位于澳大利亚城市大学户外活动区域内的流动餐车的参与度的有用且有效的方法。

使用被动 Wi-Fi 访客分析来跟踪智能设备, 从 522,548 个独特的智能设备收集了超过 90 个工作日的数据。

该可行性研究中收集的数据能够通过显示跳出率和参与率的差异来识别最受欢迎和最不受欢迎的流动餐车, 这表明被动 Wi-Fi 访客分析在这种情况下是可行和有用的。 此外, 我们的结果还表明, 流动餐车供应商和营销人员不应随意轮换, 而应保持静止从而增加顾客熟悉度。

当前的访客跟踪技术（即售票销售、销售数据和调查）是有限的, 因为它可能无法：（1）提供客流量的准确测量; (2) 识别路过但未完成购买的参与顾客; (3) 由于商业敏感性和保密性而可用。 因此, 目前的研究是第一个通过使用被动 Wi-Fi 访客分析来检查激活区域内流动餐车的客户参与度（即, 未参与路过, 相比于参与但跳出, 相比于参与售出额）。