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The new century has witnessed rapid growth in China's foreign aid. However, there is still yet any consensus about the nature or the consequences of China's foreign aid. In this study, the author reviews the history of China's foreign aid and finds significant changes in China's foreign aid policy in the past seven decades.

The author analyzes China's foreign aid data between 2000 and 2017 from the AidData program with a Tobit model.

This study’s results show both the similarities and differences between China and Western donors. These “Chinese characteristics” in its foreign aid, we argue, illustrate China's dual identity in the new century: both the largest developing country that minds its own economic development and an emerging global power that aspires to elevate its global status and enhance its soft power.

This article is, to the author’s knowledge, one of the first comprehensive empirical analysis of China's foreign aid using the data from AidData program. It will enrich our understanding of the nature and consequences of China's foreign aid in the new century.

The purpose of this paper is to explore and test the motivation behind the evolution of China’s vast network of partnerships around the globe since the end of the Cold War.

After combing through 24 types of partnerships with 78 countries, the authors empirically tested four hypotheses using data from Correlates of War and World Bank.

The analysis indicates that China’s choice to build such an elaborate network is not random. On the contrary, it is largely determined by three factors: the need to counter the US pressure; the necessity of maintaining peace and stability along its borders and achieving the long-term goal of modernization.

The research is among the first attempts to comprehensively test the possible motivations behind China’s partnership building efforts and provides a stepping stone for analyzing this important aspect of China’s foreign policy.

In explaining ethno-territorial conflicts, leadership preferences have an odd status. In case studies, leadership preferences are often viewed as highly significant causes but are not usually defined and measured explicitly. In large-sample statistical studies, leadership preferences are only captured by weakly related proxy variables. This paper aims to fill this gap by developing suitable theory, which can be used consistently in both case study and statistical applications.

Formal bargaining models are used to examine the expected impact of variation in leadership preferences. Relevant leadership characteristics are then used to construct measures of variation in leadership preferences, which are applied in case studies.

In bargaining models, variation in leadership preferences is expected to have a significant impact on ethno-territorial conflict outcomes. More extreme nationalist leaders and, more conditionally, strongly power-seeking leaders, should be more likely to be willing to use force to modify the status quo – although more moderate nationalist leaderships are also willing to do so under certain conditions. In five case studies, these formally derived hypotheses receive initial empirical support.

Theoretically and empirically, further refinement of research on variation in leadership preferences promises to add significant value. Formally, it is worth investigating the expected impact of additional preference types. Empirically, it is important to invest in measures of leadership preferences across large samples.

While the usage of digital technology can bring many operational improvements for firms, it is unclear whether it can effectively improve firm resilience to deal with supply chain disruptions caused by emergencies such as COVID-19. From a dynamic capability perspective, this study aims to investigate how digital technology usage can improve firm resilience in a rapidly changing and turbulent environment.

Based on the survey sample of 237 Chinese firms, the stepwise regression approach was used to examine the proposed research hypotheses.

The empirical evidence shows that digital technology usage has a U-shaped effect on firm resilience, and that effect is fully achieved by first affecting market acuity and then promoting resource reconfiguration. Moreover, the authors further found that the U-shaped association between digital technology usage and firm resilience is derived from the U-shaped association between digital technology usage and market acuity.

This study enriches the resilience literature by revealing the mechanism of digital technology usage’s effects rather than focusing on the role of specific digital technologies. This study also provides guidance for firms to develop effective digital technology usage strategies.

This case is based on an existing firm. The names have not been changed, and all data on the firm’s history and opportunities is accurate. Primary data is based on interviews with the owner of the firm. One of the authors is a client of the studio and friend of the owner. The case has been reviewed and approved by Jill Murphey, owner of yogaErie. The purpose of this paper is to introduce students to industry analysis, to entrepreneurial decisions and to issues with organizational growth and change.

Jill Murphey, owner of Yoga Erie, is considering whether to or how to expand her studio operations into adjacent communities. Her studio has been very successful since she opened in 2009: the studio has been named Erie’s Best for most of the years since then. Classes were filled and students were asking about the prospects of a satellite studio in other parts of the community. Information on the options Murphey was considering are presented as well as Murphey’s motivations in opening her own studio, and the opportunities as well as concerns she faced in the expansion decision.

This case was originally targeted toward graduate and undergraduate courses in Strategy because of the industry definition and diversification problems but can also be used in classes on Organizational Change or Entrepreneurship.

The purpose of this paper is to investigate the profitability of momentum investment strategy and the predictive power of trading volume for equities listed in the Australian Stock Exchange.

Following the Lee and Swaminathan's approach, portfolios on past returns and past trading volume is constructed. In this approach, all stocks are ranked independently on the basis of past returns and past trading volume. The stocks are then assigned to one of five portfolios based on past returns and one of three portfolios based on trading volume over the same period.

A strong momentum effect for the Australian market during the period 1988 through 2002 is observed. Further, momentum plays an important role in providing information about stocks. Past trading volume appears to predict both the magnitude and persistence of price momentum.

Substantial momentum observed in monthly stock returns has investment implications. Abnormal returns vary from 0.3 to 7 per cent per month in the intermediate horizon.

This study provides an out of sample evidence by examining the relationship between “trading volume” (measured by the turnover ratio) and “momentum” strategies in an Australian setting.