Key success & failure factors of Chinese companies in Norway : A cross-case analysis of four failed Chinese companies in Norway

Master's thesis in Accounting and auditing (BE508)In recent years, more and more Chinese companies come to Norway to invest.Due to the huge difference between China and Norway in all aspects, the operation of these companies in Norway has become the focus of attention.The purpose of this research is to gain empirical insights in depthinto the key success & failure factors of Chinese companies in Norway, and direct the management of the Chinese multinationals to pay careful attention and control to these identified critical factors to increase the odds of success of overseas investment in Norway. This research is conducted in a qualitative,multiple-case study based on semi-structured interviews and secondary research in four Chinese companies in Norway. The findings indicate that legal factors, cultural difference, business strategy, organisational structure and selection of people are the key success & failure factors of Chinese companies in Norway. This paper is among the first attempts to identify the key success & failure factors of Chinese multinationals in Norway

Chinese Outward Foreign Direct Investment: The Reasons Why some Chinese Firms Fail in Norway

Author's submitted manuscriptThis is the pre-peer reviewed version of the following article: Wang, Y. & Alon, I. (2020). Chinese outward foreign direct investment: The reasons why some Chinese firms fail in Norway. Global Business and Organizational Excellence, 40(1), 31-43, which has been published in final form at https://doi.org/10.1002/joe.22066. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.Recent years have seen a dramatic rise in Chinese multinationals investing in various projects around the world. While there have been numerous studies of Chinese outward foreign direct investment (FDI), there have been far fewer that examine the factors that relate to their success or failure from the perspective of the Chinese investor. Here we present a cross-case analysis of four examples of Chinese investments in Norway that failed to produce a profit. Using semi-structured interviews with Chinese and local managers, government agencies, and data from secondary sources, we identify five factors that contributed to this: (a) legal factors, (b) cultural differences, (c) business strategies, (d) organizational structure, and (e) the selection of people. We believe that these four case studies contribute to our knowledge of the reasons why Chinese outward FDI fails, and that it offers guidance to the management of Chinese firms wishing to invest in Europe.submittedVersio

Rethinking STS and NLI in Large Language Models

Recent years have seen the rise of large language models (LLMs), where practitioners use task-specific prompts; this was shown to be effective for a variety of tasks. However, when applied to semantic textual similarity (STS) and natural language inference (NLI), the effectiveness of LLMs turns out to be limited by low-resource domain accuracy, model overconfidence, and difficulty to capture the disagreements between human judgements. With this in mind, here we try to rethink STS and NLI in the era of LLMs. We first evaluate the performance of STS and NLI in the clinical/biomedical domain, and then we assess LLMs' predictive confidence and their capability of capturing collective human opinions. We find that these old problems are still to be properly addressed in the era of LLMs.Comment: arXiv admin note: text overlap with arXiv:2212.13138 by other author

Nonlinear Dynamics and Chaos in Fractional-Order Hopfield Neural Networks with Delay

A fractional-order two-neuron Hopfield neural network with delay is proposed based on the classic well-known Hopfield neural networks, and further, the complex dynamical behaviors of such a network are investigated. A great variety of interesting dynamical phenomena, including single-periodic, multiple-periodic, and chaotic motions, are found to exist. The existence of chaotic attractors is verified by the bifurcation diagram and phase portraits as well

The effects of skewness on hedging decisions: an application of the skew-normal distribution in WTI and Brent futures

Skewness, as a proxy for extreme risks or losses, deserves more attention from risk management work of portfolio selection and futures hedging. We evaluate the hedging performance of strategies considering the skewness for two major benchmark international crude oil markets, Brent and WTI, with sample period ranging from June 11, 2018, to May 19, 2021. This paper contributes to the literature by accounting for futures basis and the skewness of the hedged portfolio return. Specifically, we first extend the existing literature of Lien (2010), whose study investigated the effect of skewness on optimal production and hedging decisions, to the case of a futures bias existing. Then, we propose minimum-risk hedging models wherein the return of the hedged portfolio return is assumed to follow a skew-normal distribution, which is a generalization of normality assumption. From the empirical results, we find that skewness cannot be ignored, otherwise it will lead to wrong hedging decision. Furthermore, hedging strategies under skew-normal distribution are outperformed than that under the normal distribution assumption. The research results of this paper have important implications for investors and decision makers to hedge the price risk of crude oil in extreme market conditions

The dynamics of a delayed generalized fractional-order biological networks with predation behavior and material cycle

In this paper, a delayed generalized fractional-order biological networks with predation behavior and material cycle is comprehensively discussed. Some criteria of stability and bifurcation for the present system is presented. Moreover some results of two delays are obtained. Finally, some numerical simulations are presented to support the analytical results