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Under such circumstances, how to assign the highest priority for future products which will create the greatest value will be the key success factor for a product planning model. The purpose of this study is to construct an improved planning model for new products based on the theoretical structures of technology roadmaps and patent analysis.

This study takes the perspective of a product planning strategy, using technology roadmap developed by Institute of Manufacturing Technology of the University of Cambridge, combining with scenario planning and patent analysis. The main body of the proposed model is the technology roadmap of the product. Through patent analysis, the technology roadmap was integrated into the hierarchical execution of product planning to improve the disadvantages of the original technology roadmap and thereby clarify the content of the implemented procedure. With the planning of digital home products in a large household appliance manufacturer in China as a case study, the feasibility of the proposed model was verified.

The improved planning model for new products comprised five planning phases: market scenario planning, product feature analysis, technological development analysis, patent combination analysis, and resource allocation. A matrix corresponding to product planning was established. The case study is to find out the developing trends in next‐generation product features in six different scenarios of digital home for M, a home appliance manufacturer. There are five steps of the product planning model. The product planning model provides enterprises with integrated information from market demand, technology as well as patents. At the same time, it is easy to maintain and reproduce. The authors expect the model to make a contribution to practical product planning.

This model should become an essential prediction tool for enterprises developing new products and can assist in decision‐making and strategic implementation.

This paper problematizes TCFD (Task Force on Climate-related Financial Disclosures) reporting in a way that demonstrates areas where academic research can contribute towards realizing the transformative potential of this unique form of sustainability accounting in its early stages of development.

The paper proposes a number of research agendas for impactful interdisciplinary research into new forms of corporate reporting of sustainability risks, opportunities and dependencies.

There are several major challenges that both reporting corporations and investors need to address in realizing the potential of TCFD style risks, opportunities and dependencies reporting. Key among these is developing new practices of climate-related scenario analysis and reporting.

There is potential for many different academic research studies to provide solid evidence in helping improve the practical impact of TCFD style sustainability reporting. These impacts may assist in moving corporate policies and actions towards zero carbon.

This is the first agenda-setting paper that addresses the need for, and opportunities of, academic research into TCFD reporting and its potential to transform corporate accounting and reporting of sustainability.

This case recounts how an expert scenario consultant and a team of managers at a government agency used proprietary technology to define a set of alternate futures; it describes how this scenario analysis provided a framework for understanding the existence of interlocking relationships – the logic model – among factors that determine desirable future outcomes.

As a tool for forecasting and strategic planning, Battelle employs a method called interactive future simulations (IFS) that uses expert judgment, trend analysis, and cross‐impact analysis for generating probabilistic alternative futures (scenarios). The tool has been used both for Battelle's own business strategy analysis and for fee‐for‐service projects for some 55 clients in North America, Europe, and Japan.

The logic model showed that, higher achievement depends primarily on only two clusters of descriptors: students receiving high quality instruction aligned with academic content standards and students having the right conditions and motivation for learning.

Having completed the first generation of the logic model through the exercise of cross‐impact analysis, the Ohio Department of Education project team will revisit the scenarios and give them increased attention. A revised logic model will be constructed in 2005.

This article introduces the logic model as a potentially valuable new strategic management tool.

Managers in for‐profit and nonprofit organization can get a rare inside look at the process and potential of scenario analysis and the development of a logic model.

In recent years, futures study methods, especially scenario analysis, are used to plan for disaster and emergency management. Scenario method is suitable for public level policy making. Scenarios generated alternative descriptive futures in all of the development field such as disaster studies. This paper aims to systematically review the articles that generated scenarios in disaster management to attain gaps, challenges and opportunities related to use of scenario analysis in disasters.

This is a systematic review that was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The keywords that searched included “disaster,” “emergency,” “crisis,” “disruptive event,” “futures study,” “foresight,” “scenario,” “community-based scenario planning,” “participatory scenario planning,” “scenario planning” and “scenario analysis.” The Google Scholar, ISI Web of Science, Science Direct, PubMed and Scopus databases were searched.

A total of 981 article gathered after initial search between electronic databases. At final step, only ten articles included in the study. The selected articles compared according to many aspects. Most of the scenarios that developed in disaster management and planning concentrated on climate change and flooding related hazards. Many of studies developed three or four scenarios that it seems the number is suitable for disaster planning.

The paper serves as an original guideline for disaster planning.

To comply with the adopted Paris Agreement, global finance flows must be measured against climate scenarios consistent with possible pathways towards limiting global warming to 2°C or less. For this, there must be proven and accepted accounting principles for assessing financial plans of climate relevant actors against climate models. As there are a variety of data sources describing the financial plans of relevant actors, these principles must accommodate a variety of reported information, while still yielding relevant metrics to different stakeholders. The paper aims to discuss these issues.

A set of accounting principles tested by governments, financial supervisory bodies and both institutional investors and mangers, covering global-listed equity and corporate bond investment is described.

The application illustrates that a common set of accounting principles can act across both asset classes and provide relevant metrics to multiple stakeholders.

The principles require data of varying quality and are ultimately unverified. Thus, the definitive quality of the output metrics is uncertain and is yet to be characterized. The principles are yet to be applied to the credit market as the information is seldom publicly available, but it too plays an important role in the required market transition and therefore must be incorporated into these guiding principles of analysis.

The principles allow for standardised assessment of financial flows of equity and corporate debt with global climate scenarios.

It illustrates the acceptance of a common set of accounting principles that is relevant across different actors and asset classes and summarizes the principles underlying the first climate finance scenario analyses.

This paper aims to focus on the development of a vision for the Lake Constance region, Germany, as an e-destination, i.e. a destination where tourism mobility would be predominantly electric in the future.

This paper uses a scenario analysis based on factor analysis in addition to empirical data collected in 2016 and 2017 based on surveys and interviews with tourists and stakeholders.

The scenarios contain the optimistic, pessimistic and realistic models, including one scenario called e-destination, i.e. a projection of the future where tourism mobility consists predominantly of electro-mobility (e-mobility). This specific scenario is supported by the results of the empirical data.

As the study focusses on e-mobility only, it leaves out other forms of mobility e.g. pedestrian or cycling mobility that also contribute to CO₂ reduction. The sampling methods are not strictly randomised, but the tendencies they show are clear and supporting each other.

According to the tourists and stakeholders interviewed, it is quite likely that the region will become an e-destination in the future, but only with government support.

The attitude-behaviour-gap was discussed as a possible explanation of tourists’ behaviour in the study.

Studies on e-mobility in tourism are rare. (As far as the author knows) this paper presents the first analysis of the future of e-mobility in tourism using a German lake as a destination. Thus, it adds to the existing body of knowledge different possible projections of the future regarding e-mobility in a tourism destination.

The purpose of this paper is to explore the way in which system dynamics (SD) can enhance some key success factors of the balanced scorecard (BSC) model and support decision-makers, specifically in analyzing and evaluating the results of hypothetical scenarios. Moreover, the paper aims to emphasize the role played by statistics not only in validating the SD-based BSC, but also in increasing managers’ confidence in the model reliability.

The paper presents a case study, developed according to an action research perspective, in which a three-step approach to the BSC implementation was followed. Specifically, the first step requires the development and implementation of a “traditional” BSC, which is refined and transformed into a simulation SD model in the second step. Last, the SD-based BSC is combined with statistics to develop policy making and scenario analysis.

The integration of BSC and SD modeling enables the development of a comprehensive approach to strategy formulation and implementation and, more importantly, provides a more reliable basis upon which to build and test sound cause-and-effect relationships, within a specific BSC. This paper exemplifies how an SD-based BSC can be used – and perceived reliable – to evaluate different scenarios and mutually exclusive policy effects in a multidimensional approach. In particular, this study illustrates how to forecast and depict trends for financial and non-financial indicators over the simulation period, with reference to three different scenarios.

This paper contributes to the ongoing debate on the BSC by exploring whether a combination of SD and statistics may enhance the BSC system’s advantages and facilitate its implementation process and use for decision-making and scenario analysis.

The variability of weather at tourist destinations can significantly affect travel decisions by tourists and their comfort. In particular, rain affects the profitability of hospitality firms that can hardly contrast the phenomenon of heavy rain. Therefore, the assessment of rainfall financial risks, i.e. the negative economic effects caused by rain, becomes crucial to safeguarding the profitability of the hospitality industry. The purpose of this study is to assess such risks.

The present work contributes to the literature on weather/climate change and tourism by advancing a model for the rainfall financial risk assessment of hospitality firms. The model is based on scenario correlation between business performances and rain and originates from the Enterprise Risk Management (ERM) presented by the Committee of Sponsoring Organizations of the Treadway Commission (COSO), where some tools to adequately face business risks are advanced.

The model is complemented by an empirical experiment based on the business performances of the hospitality industry of Lake Garda and the amount of rainfall in the same area during the decade 2005-2014. The empirical application detects scenario correlation between those variables over time. In particular, the findings open opportunities to purchase financial instruments (insurance contracts, derivative instruments, etc.) with greater awareness, with the purpose of mitigating the negative impacts of rain on business performances of hospitality firms.

The model improves scenario analysis by introducing scenario correlation, which is a tool for assessing the highly nonlinear links between business performances and rain in today’s complex world. This is the essential step that firms should perform if they want to successfully adopt strategic decisions about rainfall financial risk management.

The threat environment countries face is a dynamic one, with many emerging technologies. This paper presents unique challenges as countries evaluate which technologies to pursue in support of national security. Rather than addressing a broad range of strategic options, this paper limits its scope to a single type of aircraft. Thus, the purpose of this paper is to demonstrate a methodology to counter the most likely future threats to a long‐range strike aircraft.

To address future threats, the paper examined the most likely course of technology development within the context of various alternative futures. To decompose general threat scenarios into specific risk scenarios, the risk filtering, ranking, and management (RFRM) framework was used. After identifying the most significant risk scenarios, decision tree analysis provided insight into whether or not to pursue a given technology (e.g. electromagnetic pulse hardening, redundant control structures, etc.).

It is found the RFRM and decision tree tools to be very complementary in developing a credible scenario‐based decision model that incorporates expected technology development and alternative futures.

The paper is not intended to be a technical report on advanced technologies or predict future technologies and the world geopolitical situation. However, the approach explored should serve as a foundation for more detailed analysis that incorporates formal studies, technology demonstrations, and additional research into a coherent decision structure that can be evaluated and adjusted over time.

The paper combines the RFRM and decision tree tools to examine concepts from both technology development and alternative futures.