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The author presents a tried-and-tested strategy for how startups can systematically and efficiently negotiate partnerships with established companies.

The concept consists of three elements: strategic balance, stakeholder alignment, and negotiation space. Real-world examples illustrate how this strategy can be applied.

The “strategic balance” element weighs the strategic benefits of the partnership against the strategic costs. This determines the negotiation strategy. The “stakeholder alignment” element gives due consideration to the interests and priorities of all stakeholder groups. Lastly, the “negotiation space” element is instrumental in streamlining the negotiations by focusing on the issues that are actually negotiable.

The concept can generally be applied to all aspects of negotiations between startups and established companies and has a long and proven track record in the real world. The issue of strategic balance in particular is useful in recognizing the strategic costs, which are sometimes hard to discern and only manifest themselves down the road, and comparing them with the strategic benefits, which are frequently obvious. A careful stakeholder alignment increases the chance that negotiations will succeed while building a foundation for constructive collaboration in the eventual partnership.

Startups that use this tried-and-tested strategy have a tool that can help them systematically and efficiently negotiate partnerships with established companies. The tool also helps the partners recognize early on whether negotiations actually have any prospect for success. The concept can also serve as a guideline for a corporate in negotiating a successful partnership with a startup.

This study aims to investigate the impact of the 2022 collapse of the Terra-Luna ecosystem on volatility correlations among digital assets, including U.S. Terra, Luna, Bitcoin, Ether, a Decentralized Finance index and U.S.-sourced conventional assets stocks, bonds, oil, gold and the dollar index. The primary research question addresses whether correlations increased between digital and conventional assets during the collapse.

A dynamic conditional correlation generalized autoregressive conditional heteroskedasticity model was used to examine changes in volatility correlations during the market crash. Specifically, a data set of 1,442 close prices from 30-minute interval candles of digital and conventional asset prices are considered to provide a granular view of market dynamics during the sample period from January 3rd, 2022, to May 31st, 2022, including the crash event.

While the dynamic conditional correlation plots of the model indicate increased volatility, the results do not offer sufficient evidence to confirm an increase in correlations between digital and conventional assets during the Terra-Luna downfall. Furthermore, the authors confirm Bitcoin’s role as a diversifier with oil and observe the dollar index maintaining a negative correlation with Bitcoin during the crash, supporting Bitcoin’s function as a hedge against the U.S. dollar. However, the findings during the crash diverge from previous studies, reflecting shifts in correlation patterns in broader market downturns. Specifically, the authors identify the need for adaptive capital allocation strategies, as gold’s oscillation during the period suggests it may not serve as an effective hedge during black swan events.

The findings provide insights for investors, financial institutions and regulators to improve risk management, portfolio diversification, trading strategies and the formulation of consumer protection regulations. In addition, the results underscore the challenges of mitigating risks beyond regulatory measures and emphasize the importance of exercising caution for investors.

This study addresses the research gap in changes between conventional and digital asset volatility correlations during collapses in the digital asset space.

This work concerns William Norman Illingworth [1902–1980]. Disillusioned with teaching in conventional schools and inspired by Rudolf Steiner [1861–1925] he founded Sangreal School, in 1947, and operated this until the early 1970s. Sangreal was what I describe as a “conservative alternative school”, employing methods and pursuing goals not found in most British schools of the period but, unlike avowedly progressive establishments, guided by socially conservative principles. The purposes of the work are both to rescue his/Sangreal’s story from obscurity and to encourage research to establish if other such schools have existed and, if so, to describe and analyse them in an effort to give the category conservative alternative school the recognition it properly deserves.

The method is a combination of life history/biography and case study of a specific school.

The story is interesting in its own terms and points to the existence of a hitherto unnoticed category in history of education.

This work may lead to the proper recognition of a neglected category.

This work deals with a school hitherto unknown to most people and may lead to the recognition of a new category.

The purpose of this study is to describe the implementation of a digital-based team coaching intervention aimed at improving team communication in the workplace through social network visualization. The study examined recipients’ perceptions of the intervention at two time points and assessed the temporal stability of various factors, including the intervention’s integrity, design, transferability, acceptance and the usability of the adopted visualization tool. The moderating role of digital usability was also evaluated.

Four team coaching sessions were delivered to 62 participants from seven teams across three departments within a large public health-care organization in Northern Italy. Perceptions of the intervention dimensions were collected after the second and fourth sessions.

Results indicated that, at both time points, recipients appreciated the intervention’s integrity and usability more than its design, transferability and acceptance. Furthermore, no significant changes in recipients’ perceptions were observed over time. The transferability of the intervention was significantly associated with its acceptance, but only when the usability of the digital tool was high.

The study enriches existing literature on digital interventions in group communication by focusing on process dimensions like recipients’ perceptions of various aspects and the implementation process. Furthermore, the study underscores the potential of integrating specific techniques such as sociomapping and coaching within health-care organizations, encouraging more research and development in these areas.

The study emphasizes the critical role of usability and integrity in digital-based team coaching interventions, suggesting that high-quality, user-friendly tools not only lead to initial effectiveness but also sustain positive impacts over time, while also increasing transferability and acceptance.

The present study uniquely deploys a longitudinal approach to examine recipients’ perceptions of a digital-based intervention that combines social network visualization and team coaching to enhance team communication.

The present study is performed to identify the propagation mechanism of the ripple effect as well as examine the simultaneous impact of risks on supply chain (SC) performance.

A theoretical framework with many hypotheses regarding the relationships between SC risk types and performance is established. The data are collected from a large-scale survey supported by a project of the Japanese government to promote sustainable socioeconomic development for the Association of Southeast Asian Nations (ASEAN) region, with the participation of 207 firms. Structural equation modeling (SEM) is used to test the hypotheses of the theoretical framework.

It is indicated that human-made risk causes operational risk, while natural risk causes both supply risk and operational risk. Furthermore, the impacts of human-made risk and natural risk on performance are amplified through operational risk.

This study is one of the first attempts that identifies the propagation mechanism of the ripple effect and examines the simultaneous impact of risks on performance in construction SCs.

Although many studies on risk management in construction SCs have been carried out, they mainly focus on risk identification or quantification of risk impact. It is observed that research on the ripple effect of disruptions has been very scarce.