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This study aims to explore the development and significance of sustainable finance instruments, mainly sustainable bonds. The purpose is to provide policymakers, regulators and researchers with insights into the current state of sustainable finance research and also provide future research directions.

This study used Scientific Procedures and Rationales for Systematic Literature Reviews as a review protocol and addressed four research questions concerning publication and citation trends, major themes and future research directions in sustainable bonds.

This study indicated growing attention in sustainable bond research, with increasing publication and citation trends. Along with identifying research themes, the findings include future direction on pricing and risk assessment, market dynamics and growth potential, policy and regulatory environments and global perspectives with local context.

Although this study provides a robust analysis of the current literature, it relies on existing publications and may not capture the latest developments in sustainable bond research. However, policymakers can benefit from insights into the growth and dynamics of sustainable bonds, enabling them to implement effective policies and regulations. Investors and businesses can use this research to inform their environmental, social and governance investment strategies and decision-making processes.

This paper suggests a comprehensive overview of the state of research in sustainable bonds, highlighting the emerging trends and research priorities. It also underlines the significance of sustainable finance in achieving sustainability goals and provides a roadmap for future research.

The purpose of this paper is to describe the conversion of the former coal mining site in Kamp-Lintfort into a public park and learning space for biodiversity. In 2020, an urban green space was established, featuring various aquatic and terrestrial habitats and a high level of biological diversity in the city centre with broad community support.

This study presents secondary data of a literature review on participatory management of biodiversity in urban green spaces, with a focus on the sustainability context, participation approaches, theoretical frameworks and the role of education. The example of Zechenpark Kamp-Lintfort (Germany) shows how urban green space development can meet the challenging demands of inner city development while fostering knowledge generation via citizen science and participatory biodiversity management. The study collected primary data on plant biodiversity using a citizen science approach to raise awareness and create opportunities for human–nature interaction.

Sustainable Development Goal (SDG) 11 is the most important development goal in the context of participatory biodiversity management of urban green spaces. Most of the studies have a place-based focus and integration of local knowledge is the main reason for a participatory approach. The findings show how a green learning space can offer opportunities for digital learning as well as participatory biodiversity management in urban areas. The project lead to an increase in local citizens’ awareness of biodiversity. Based on a literature review, this report identifies challenges and opportunities for establishing a green learning space for biodiversity education. The example illustrates that an urban green space can provide numerous possibilities for citizens and students to get involved and that it can foster the sustainable development of a new urban neighbourhood.

A place-based approach limits generalisability. To overcome this limitation, a literature review was conducted, and the location was compared to two parks with similar site conversion history.

The example of developing an urban green space can inspire universities to take an active role in biodiversity management in urban green spaces, integrating biodiversity into university activities and creating a positive impact in the urban environment.

Analysis of studies in the field shows that education deserves a more prominent role in theoretical frameworks.

The study represents an example of transition and citizen-led participatory management of biodiversity from a medium-sized city, transformation processes covering these aspects are underrepresented in literature.

This research was initiated by motivation from a real business problem that delves into lean management practices in dairy farm operations. It investigates how lean management practices can be applied as an improvement strategy in the dairy business to evaluate its impact on performance, where profitability is a decisive factor.

Based on the qualitative design, a 5-phase action research methodology was used in this study, where multiple data collection sources were used, including focus group discussions, on-site observation or Gemba walks and process mapping. The impact is evaluated by comparing the key performance measures with the same period before and after research.

The research revealed that lean management practices can significantly improve dairy business performance. It explained vital aspects of lean management practices and their sequence with examples of first-hand applications. It explained, how lean management practices were applied in dairy farm operations. Furthermore, the research resulted in significant benefits, in terms of quality, cost and profitability.

This research was conducted in a real business setting in the field environment, to improve dairy business performance. It was a distinctive application of lean management practices to solve a national problem. This could be used as a road map to bring continuous improvement at the national level to improve the performance of food value chains.

This research is unique because it addresses the methodological, population and empirical gaps in dairy farm operations. It adds value to the existing knowledge base by sharing best practices, developed and implemented for the first time to the best of our knowledge, like high-level process mapping and performance measures at different levels. Furthermore, the solutions can be simulated in related farm operations to bring breakthrough improvements in dairy business performance.

Corporate donation behavior sends two financial-related signals, i.e. sufficient cash flow and self-confidence in future earnings. This paper aims to investigate whether these financial-related signals released by corporate donation drive investors to make more optimistic forecasts about the firm’s future earnings per share (EPS) and whether this effect varies across different historical earnings trends.

This study is based on a controlled online experiment with 553 MBA students.

The results demonstrate that a financial signaling mechanism works, but it is moderated by historical earnings trends. When the earnings trend is always increasing, the more the number of financial signals received, the higher the investors’ EPS forecast; when the earnings trend is fluctuating (down then up or up then down), investors’ EPS forecast is higher when they receive financial signal(s) than when they do not, but no additive effect occurs from receiving one signal to two signals; when the earnings trend is always decreasing, investors’ EPS forecast is irrelevant to the number of financial signals received.

To the best of the authors’ knowledge, this study is the first to experimentally investigate a possible mechanism to explain investors’ positive response to corporate social responsibility (CSR) (specifically, corporate donation) disclosures – the financial signaling mechanism. This study also extends the research on the impact of financial information on investors’ use of nonfinancial information by investigating the moderating role of historical earnings trends on the financial signaling mechanism of the CSR effect.

This study aims to provide empirical evidence on the return and volatility spillover structures between Bitcoin, Fintech stocks and Asian-Pacific equity markets over time and during different market conditions, and their implications for portfolio management.

We use Time-varying parameter vector autoregressive and quantile frequency connectedness approach models for the connectedness framework, in conjunction with Diebold and Yilmaz’s connectivity approach. Additionally, we use the minimum connectedness portfolio model to highlight implications for portfolio management.

Regarding the uncertainty of the whole system, we show a small contribution from Bitcoin and Fintech, with a higher contribution from the four Asian Tigers (Taiwan, Singapore, Hong Kong and Thailand). The quantile and frequency analyses also demonstrate that the link among assets is symmetric, with short-term spillovers having the largest influence. Finally, Bitcoins and Fintech stocks are excellent diversification and hedging instruments for Asian equity investors.

There is an instantaneous, symmetric and dynamic return and volatility spillover between Asian stock markets, Fintech and Bitcoin. This conclusion should be considered by investors and portfolio managers when creating risk diversification strategies, as well as by policymakers when implementing their financial stability policies.

The study’s major contribution is to analyze the volatility spillover between Bitcoin, Fintech and Asian stock markets, which is dynamic, symmetric and immediate.

With the growing need for employees to be innovative, public-sector organizations are investing in employee training. This study aims to examine the effects of a combined Lean Six Sigma and innovation training, using action learning, on public-sector employees’ creative role identity and innovative work behavior.

The authors studied a public service agency in Singapore in which a five-day Lean Innovation Training was implemented, using a combination of Lean Six Sigma and Creative Problem-Solving tools, with a simulation on day one and subsequent team-based project coaching, spread over six months. The authors administered pre- and postintervention surveys among all the employees, and initiated group interviews and observations before, during and after the intervention.

Creative role identity and innovative work behavior had significantly improved six months after the intervention, enabled through senior management’s transformational leadership. The training induced managers to role-model innovative work behaviors while cocreating, with their employees, a renewal of their agency’s core processes. The three completed improvement projects contributed to an innovative work culture and reduced service turnaround time.

Starting with a role-playing simulation on the first day, during which leaders and followers swapped roles, the action-learning type training taught all the organizational members to use various Lean Six Sigma and Creative Problem-Solving tools. This nimble Lean Innovation Training, and subsequent team-based project coaching, exemplifies how advancing the staff’s creative role identity can have a positive impact.

This chapter reviews Internet of Things (IoT) as a concept with bibliometric analysis using data selected from the Scopus database. The cited references included two clusters. Also, co-occurrence keyword analysis found four groups. The first cluster shows IoT adoption in agriculture, manufacturing, logistics, and supply chain management. The second cluster includes behavioral models of IoT technology acceptance. The third cluster refers to the adoption of IoT and automation technology in intelligent buildings, smart homes, smart cities, and health care. Finally, the fourth cluster contains information management.