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It is suggested that, to be successful, innovation teams should be small and consist of people with key expertise who want to participate and develop new solutions within their organisations. When it comes to conducting innovation work, I suggest shared leadership may be a factor influencing success. In this chapter, a theoretical framework is presented on the shared leadership of innovation teams. The key to establishing shared leadership in innovation teams is to plan for it as the team is created, not after the team has already been formed, as this may result in various problems in the intended innovation project. The proposed framework details key aspects to consider; some of which are related to external factors such as management and resources, and some to internal factors such as the team’s size, competencies, and their ability to develop norms and ways of working together. The proposed framework is applicable for managers, innovation leaders, and team members, and contributes to previous research on shared leadership and innovation leadership. Further research on the proposed framework is suggested.

This paper shows that volatility persistence in GARCH models and spurious long memory in autoregressive models may arise if the possibility of structural changes is not incorporated in the time series model. It also describes a tractable hidden Markov model (HMM) in which the regression parameters and error variances may undergo abrupt changes at unknown time points, while staying constant between adjacent change-points. Applications to real and simulated financial time series are given to illustrate the issues and methods.

This paper shows how a shorter fecundity horizon for females (a biological constraint) leads to age and educational disparities between husbands and wives. Empirical support is based on data from a natural experiment commencing before and ending after China’s 1980 one-child law. The results indicate that fertility in China declined by about 1.2–1.4 births per woman as a result of China’s anti-natalist policies. Concomitantly spousal age and educational differences narrowed by approximately 0.5–1.0 and 1.0–1.6 years, respectively. These decreases in the typical husband’s age and educational advantages are important in explaining the division of labor in the home, often given as a cause for the gender wage gap. Indeed, as fertility declined, which has been the historical trend in most developed countries, husband-wife age and educational differences diminished leading to less division of labor in the home and a smaller gender wage disparity. Unlike other models of division of labor in the home which rely on innately endogenous factors, this paper’s theory is based on an exogenous biological constraint.

This chapter focuses on the Chinese cross-border merger and acquisition (M&A) amid the rising trend of multinational companies from emerging economies. Based on a systematic review of published papers in top international business/strategy/organization journals on Chinese overseas M&A, we offer a tentative multilevel framework to consolidate the past achievement, consider contemporary debates, so as to direct future research efforts. We suggest that Chinese overseas M&A research should emphasize on a process perspective ranging from pre-acquisition to post-acquisition. In addition, qualitative research and methodological pluralism should be embraced to achieve this goal due to the nature of this emerging field of Chinese cross-border M&A. By allocating the extant literature into the multilevel framework, we articulate the demand and identify several potential topics for scholarly inquiry in the future in order to gain a nuanced understanding of this important phenomenon of Chinese cross-border M&A for both China and the rest of the world.

The chapter investigates the relationship between environmental management practices (EMPs) and financial performance (FP).

The study is based on a sample of 187 SMEs and uses data on six EMPs (energy, water, waste, material, emissions, and biodiversity) collected through a self-administered questionnaire from owner-managers of SMEs. Ordinary least squares regression is employed to model the hypothesized paths.

The results suggest a positive and significant relationship between EMPs (energy, water, and material) and FP. There is also a significant positive relationship between an aggregate EMP measure and FP. However, other EMPs (waste, emissions, and biodiversity) are not significantly associated with FP. Overall, these results provide empirical support to the mostly normative suggestion that the conflicting results on the environmental management and financial performance relationship are partly due to the EMP measure used.

The study is based on cross-sectional data, and therefore, it is impossible to determine any changes over time. Longitudinal studies could help confirm the relationship between EMP and FP over a longer period. From a policy perspective, this results mean that the Ghanaian EPA must monitor more closely for violations of laws and regulations relating to waste, emissions, and biodiversity since SMEs do not have incentives to manage these impacts without commensurate return.

The study contributes by documenting evidence of the relationship between multiple measures of EMP and FP. This unlike most existing studies has enabled us to report evidence of how each EMP measure affects FP differently and where win–win opportunities are for SMEs. Thus, the win–win opportunities are associated with some EMP measures but not all.

This chapter investigates the behavior of Reddit’s news subreddit users and the relationship between their sentiment on exchange rates. Using graphical models and natural language processing, hidden online communities among Reddit users are discovered. The data set used in this project is a mixture of text and categorical data from Reddit’s news subreddit. These data include the titles of the news pages, as well as a few user characteristics, in addition to users’ comments. This data set is an excellent resource to study user reaction to news since their comments are directly linked to the webpage contents. The model considered in this chapter is a hierarchical mixture model which is a generative model that detects overlapping networks using the sentiment from the user generated content. The advantage of this model is that the communities (or groups) are assumed to follow a Chinese restaurant process, and therefore it can automatically detect and cluster the communities. The hidden variables and the hyperparameters for this model are obtained using Gibbs sampling.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

This chapter examines the relationship between directors and officers (D&O) liability insurance and stock-price synchronicity by testing competing corporate governance-related monitoring and moral hazard-related agency conflict hypotheses. Testing a sample of stocks listed on the Taiwan Stock Exchange and the Taipei Exchange for 2008–2020, the empirical results of this study indicate that D&O insurance in Taiwan is negatively correlated to stock-price synchronicity. This negative relation is robust to a battery of tests, including those of fixed-effects regression models, alternative sample periods, alternative synchronicity measures, and alternative insurance measures. Further evidence indicates that this negative relationship is more pronounced among firms with greater agency problems, especially during periods of high market uncertainty. Overall, these findings support the corporate governance-related monitoring hypothesis, which posits that firms with greater D&O insurance are likelier to be characterized by better governance structures and information transparency. Additionally, their stock prices are more likely to reflect firm-specific information in a timely and precise manner, and they are more likely to have lower synchronicity with the industry and market.