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This study aims to explore the impact of blockchain announcements on enterprises' stock market value.

Based on resource-based theory, this study constructs a complete framework of the impact mechanism of blockchain announcements on the stock price of the announcing firm using the data of 143 blockchain announcements. An event study methodology is used in this research, and the market model, market-adjusted model and Carhart four-factor model are used to estimate stock abnormal returns after the blockchain announcement; and the cross-sectional regression model is used to test the influencing factors.

Blockchain announcements elicit a significantly positive market reaction on the release day. Compared to announcements not pertaining to technical innovation, blockchain technical innovation announcements exhibit a more positive market reaction towards the announcing companies. Strategic-level announcements exhibit a more positive market reaction than operational-level announcements. Enterprise characteristics, such as enterprise-scale and enterprise innovation ability, do not affect stock market reactions to blockchain announcements.

The findings reveal the economic value of conducting blockchain activities in the Chinese stock market. Findings of this study can help managers understand the value of implementing blockchain activities in a different market environment and guide them on how to improve the market value of their enterprises through the active implementation of blockchain activities.

To the best of the authors’ knowledge, this is the first event study to focus solely on the value of pure blockchain announcements in an emerging market. This study considers multiple resource and capability factors that would influence blockchain technology adoption, improve the current understanding of how blockchain announcements affect corporate stock prices and provide directions for future comparative studies of market reactions to blockchain announcements in different stock markets.

This study aims to explore the impact of supply chain quality event (SCQE) announcements on enterprises’ stock market value.

This study adopts the event study approach and analyzes the changes in shareholder value of companies listed in China based on data from 118 SCQE announcements. In the event study, the market, market-adjusted and Carhart four-factor models are used to estimate abnormal stock market returns, and a cross-sectional regression model is performed to examine the effects of SCQE announcements on enterprises’ stock market value.

SCQE announcements have a negative impact on shareholder value. From the perspective of the supply chain network structure, the market reacts more negatively to SCQE announcements issued by the enterprises with higher supply chain concentration. From the perspective of companies’ characteristics, announcements that do not reflect the establishment of supply chain quality cooperation have a more negative effect on stock market value, which indicates that the supply chain network structure and firm-level characteristic can moderate the market reaction.

The findings demonstrate a quantitative evaluation of how SCQE announcements affect the stock market value of listed companies and provide guidance for managers to enhance the value of SCQE announcements.

This study fills the research gap on the impact of SCQE announcements on stock market value by using secondary data and first explores the relationship between SCQE announcements and stock market value from the perspective of supply chain network. Furthermore, this study contributes to the literature on SCQE using an empirical study in China.

This paper aims to seek the optimal proportion of female executives in corporate management teams, and to analyze the threshold effect of the proportion of female executives on the enterprise market value and enterprise management performance by using a panel threshold regression model. The purpose of this paper is to obtain the optimal interval, during which female executives exert positive effects on enterprise market value and enterprise management performance.

Based on the data of listed companies in SSE from 2003 to 2012, this paper conducts theoretical and empirical analysis by using a panel threshold regression model.

This paper proves that the proportion of female executives has a threshold effect on the enterprise market value and enterprise management performance. The results show that the proportion of female executives has an optimal interval. In other words, during the 53.8-68.4 percent interval, the proportion of female executives exerts the least negative effect on the enterprise market value and the most positive effect on the enterprise management performance.

In this paper, the non-linear relationship between female executives, enterprise market value and enterprise management performance has been verified, and the optimization interval of the female executives’ proportion has been figured out as well.

The paper aims to present a three‐step approach that enables companies to define and quantify what customers value, systematically deploy their resources to deliver greater value than the competition, and capture a greater share of the value delivered to customers.

Each of the three the three steps in the value creation cycle is examined, and the tools and approaches that leading companies use to maximize shareholder wealth are outlined.

A customer‐value based approach to management can help companies instill a fact‐based decision‐making process in the enterprise. This promotes faster growth through differentiated customer investment. It ensures that the highest return initiatives are prioritized. Enterprises using this disciplined three‐step approach will be well positioned to better understand value potential, creating value, delivering value, and managing their market position to maximize the value they capture.

Mastering the value cycle enables enterprises to win in both the customer markets and the financial markets. In short, it leads them to long‐term profitable growth.

This study aims to explore the impact of carbon neutral announcements on “stock market value” of publicly listed companies in China.

The event study approach is adopted. Market, market-adjusted, Carhart four-factor model and a cross-sectional regression model are employed to examine the impacts of carbon neutral announcements on “stock market value” of Chinese companies based on data from 188 carbon neutral announcements.

Carbon neutral announcements positively impact Chinese shareholder value. Carbon neutral announcements at the strategic level have a more positive and significant impact on Chinese stock market value. Innovative carbon neutral announcements do not significantly cause Chinese stock market reactions. Companies have more positive and significant stock market reactions when the companies make carbon neutral announcements that reflect high supply chain network resilience and heterogeneity and strong supply chain network relationships.

The findings uncover the business value of carbon neutral activities and provide operations managers in developing countries insights into how to improve enterprises' market value by actively implementing carbon neutral activities.

This paper is the first trial to apply an event study to examine the relationship between carbon neutral announcements and Chinese stock market value from the perspective of announcement level and type and supply chain networks. This paper introduces corporate reputation theory and enriches the application of corporate reputation theory in the field of low-carbon environmental protections and supply chains.

The purpose of this paper is to explore the influence of the rise in housing prices on enterprise financing and also the sustainability and heterogeneity of this effect.

Empirical test, panel data, fixed-effect model, IV and 2SLS were used in this paper.

The empirical results indicate that the mortgage effect does exist, and the authors further analyze the heterogeneity of this effect by dividing the sample based on the degree of financial development and property rights; the empirical results reveal that the mortgage effect is significantly higher in places with the high level of financial development. Besides, compared to the SOE enterprise, the mortgage effect has more influence on non-SOE companies.

The results indicate that the mortgage effect should be considered when regulating housing market, and in order to improve the financing capability of company, its profitability and financial market efficiency should be emphasized.

This paper not only confirms the existence of the mortgage effect, but also explores its sustainability and heterogeneity, which reveals the risk and bubble in the effect of house market on enterprise financing, and enlightens how to promote financing ability of company.

Using a dynamic capabilities lens, this paper aims to study the impact of genomics generally and gene therapy specifically on the rare disease sector of the biopharmaceutical industry.

In this study, 24 genomics-based, rare disease-focused biopharma companies were studied and several variables were tested with respect to enterprise value growth. The companies were analyzed as a group of rare disease firms, as well as by size.

The authors found that number of employees, revenues, number of pipeline and marketed products and retained earnings are strongly correlated (in that order) with enterprise value in rare disease focused biopharma companies. These correlations seem to be weaker as a company’s market capitalization size decreases, indicating that there tends to be increasing returns to scale.

This study found that increasing rates of cumulative returns to enterprise value growth depends on accumulating knowledge-based employees and expanding product portfolios of disruptive genomics-based technologies for treating rare diseases. Aggregating skilled and innovative employees (especially in bigger companies) can be seen as a cumulative bolstering factor in leveraging dynamic capabilities which can be recognized, understood and transformed into commercial success (i.e. increasing returns in enterprise value). In other words, technology managers’ job is to manage not only the financial aspects of the technology but also human resources, asset configuration and strategic alliances efficiently toward faster and better innovation. Strong dynamic capabilities can be formed with the accumulation of experience, articulation and codification of knowledge and an adaptive ability to change the way they solve problems as their environment transforms.

This is the first study to demonstrate and measure a relationship between dynamic capabilities and enterprise value in genomics-based rare disease firms. Further, this study highlights the importance of building the capability and capacity to absorb expertise and accumulate knowledge for new product innovations and sustainable competitive advantage in industries characterized by disruptive innovation.

This paper aims to investigate the impact of open innovation (OI) in Chinese enterprises on enterprise value (EV). At the same time, this research explores the effects of OI in environmental, social and governance (ESG) and also reveals the intermediary role of ESG in the impact of OI on improving EV.

This study builds a theoretical framework to define a set of hypotheses verified in empirical research. Based on the panel data of Chinese listed companies removing missing data from 2011 to 2020, a two-way fixed effect model is used to study the relationship between OI, ESG and EV.

The research shows that OI of enterprises has effectively improved their value. At the same time, OI can also improve the ESG of enterprises. That OI increases EV is partly by the mediating path of ESG.

This study determines the influence of OI on EV from a stakeholder and sustainable development perspective, clarifying the mediating pathway of ESG in the relationship. Doing so could inspire companies to improve their OI and desire to enhance competitiveness. It will also prompt enterprises to pay attention to social responsibility activities.

Using Taiwanese enterprises that produce computer and consumer electronics products as case subjects, this study aims to explore the effective product innovation strategies applied to cope with competition in the global market and develop a competitive advantage. The product design strategies and methods of companies that used different types of innovation strategies were then analyzed. Finally, a mapping framework for product innovation and design strategies was proposed for enterprises in the computer and consumer electronics industry in Taiwan.

The two stages of this study were a questionnaire survey and case studies. Stage 1: A questionnaire survey and literature review were performed to explore the innovation strategies used by companies in the Taiwanese computer and consumer electronics industry. The purpose of the literature review was to determine the definitions and content of innovation strategies. Stage 2: Design and R&D managers were interviewed to explore the practical design strategies and approaches to product design in the industry.

These four innovation strategies and ways of product design are closely related to the scale, business type and product development conditions in enterprises. Notably, different innovation strategies have different approaches to product design. Generally, product design emphasizes “new experience” in aggressive innovation enterprises, “new value” in market innovation enterprises, “new service” in technical innovation enterprises and “new positioning” in opportunity innovation enterprises. The findings of this study provide a reference for product R&D and design in enterprises.

In recent years, the global market of computer and consumer electronic products has been fiercely competitive. Therefore, only enterprises that can innovate, respond rapidly and maintain advantages in product design can survive in the market. Hopefully, this case study of companies in the Taiwan computer and consumer electronic industry can provide a reference for product R&D and design. The findings of this study provide a reference for product R&D and design in enterprises, especially the Chinese market.

The purpose of this paper is to describe the logic and processes for identifying, measuring and managing intellectual capital resources along side traditional economic resources to achieve sustainable outcomes valued by investors.

The approach is founded on classical finance theory and draws on and multi‐attribute value theory, system dynamics and the strands of thought known as intellectual capital in order to produce a grounded framework that both produces reliable results as well as achieves acceptance in the financial community.

The findings from this approach, the FVMT Methodology, provide a comprehensive management framework that is agnostic as to the form of resources being utilized and the activities that are involved in the transformation of one resource form into another on the way to achieving sustainable outcomes valued by investors.

Whilst the approach has proven to work well the limitations are that it requires both effort and access to market makers.

The implications is that for the first time an approach is now available that provides the same rigor for managing the future value component of a firm's share price as there already exist for managing the current value component of the firm's share price. This means that managers can both reduce the volatility surrounding their share price as well as predict the value outcomes of a given set of actions.

The authors believe that this is the first presentation of a methodology grounded in classical finance theory for the managing of the future value component of a firm's share price.