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The purpose of this study is to determine research areas that are most favorable in supporting the development and manufacturing of electric vehicle (EV) components locally in Indonesia for 2025–2035. Therefore, will provide direction for the formulation of the related government policies and programs. Consequently, an EV technology research priority must be identified.

A technology foresight (TF) procedure which consists of a STEEPV analysis, followed by scenarios development and expert elicitation techniques, was conducted to determine an EV technology research priority that may direct future specific local component innovations, and therefore businesses.

The results of this study indicate that research in a range of EV battery technologies, technologies relating to a variety of key components (to increase local content) and autonomous systems were important to support the local development and manufacturing of EV components in Indonesia.

In this study, the scenarios development process was conducted based on selected available experts, mostly internally from BRIN. Some biased opinions may be present.

There have not been any TF studies regarding the development of EV technology research priority in Indonesia.

This article aims to explore, characterize and discuss the notion of the National Policy Councils (NPCs) as public organizations for governance in Chilean public management.

A subset of active NPCs of the Chilean public management was identified, characterized and analyzed following previously used schemes.

The results showcase heterogeneity in the design of NPCs, with differences among several key features. Proposed explanations for this heterogeneity are an evolutionary approach and the fuzziness of the concept. These notions are relevant outcomes for the academic discussion and the practical implementation of NPCs.

The novelty of this research is based on assessing NPCs of different policy domains in an intra-country analysis by comparing their main features and configuration to determine if NPCs could be understood and treated as a unique type of public organization.

Este artículo tiene como objetivo explorar, caracterizar y discutir la noción de los Consejos Nacionales de Política (CNPs) como organizaciones públicas para la gobernanza en la gestión pública chilena.

Se identificó un subconjunto de CNP activos de la gestión pública chilena, que fueron caracterizados y analizados siguiendo esquemas utilizados previamente.

Los resultados muestran heterogeneidad en el diseño de los CNP con diferencias entre varias características clave. Se proponen explicaciones para esta heterogeneidad basadas en un enfoque evolutivo y la vaguedad del concepto. Estas nociones son resultados relevantes para la discusión académica y la implementación práctica de los CNP.

La novedad de esta investigación se basa en evaluar los CNP de diferentes dominios de política en un análisis intra-país, comparando sus características principales y configuración para determinar si los CNP podrían ser comprendidos y tratados como un tipo único de organización pública.

The aim of this research paper is to present a new model of innovation management under the approach of anticipatory collective intelligence strategies to improve the innovation capacity of products and business processes. The paper presents a case study of Café Galavis, one of the oldest family-owned companies in the Colombian coffee sector.

A descriptive mixed-methods research design was used. Ten experts and the general manager of the organization were interviewed using a semi-structured format. Additionally, a creativity and innovation workshop were conducted with the participation of 140 young people between the ages of 21 and 28. The traditional product of the company was evaluated using the SCAMPER technique. On the other hand, a strategic approach was taken to address the complex problem. This involved conducting a bibliometric analysis using Vosviewer software, prioritizing key variables and actors’ game through MICMAC and MACTOR software, seeking expert judgment, conducting morphological analysis, generating scenarios under the Peter Schwartz axes and designing a strategic plan.

The paper presents a new approach to developing innovation processes by connecting foresight and the SCAMPER technique as a strategy for anticipatory collective intelligence. Furthermore, it was found that the use of these methods enhances the innovation capacity of both products and business processes. Organizations can implement this model to create plans with disruptive and sustainable horizons.

The paper presents methods to enhance the adoption and performance of innovation in companies through collective anticipatory intelligence and the use of digital tools.

This paper proposes a novel approach to combining two future methods to promote innovation. This study makes a theoretical and practical contribution to the field of foresight.

Although the significance of technological progress in economic development is well-established in theory and policy, it has remained challenging to agree upon shared priorities for strategies and policies. This paper aims to develop a model of how policymakers can develop effective and easy to communicate strategies for science, technology and economic development.

By integrating insights from economic complexity, competitiveness and foresight literature, a replicable research framework for analysing the opportunities and challenges of technological revolutions for small catching-up countries is developed. The authors highlight key lessons from piloting this framework for informing the strategy and policies for bioeconomy in Estonia towards 2030–2050.

The integration of economic complexity research with traditional foresight methods establishes a solid analytical basis for a data-driven analysis of the opportunities for industrial upgrading. The increase in the importance of regional alliances in the global economy calls for further advancement of the analytical toolbox. Integration of complexity, global value chains and export potential assessment approaches offers valuable direction for further research, as it enables discussion of the opportunities of moving towards more knowledge-intensive economic activities along with the opportunities for winning international market share.

The research merges insights from the economic complexity, competitiveness and foresight literature in a novel way and illustrates the applicability and priority-setting in a real-life setting.

With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The purpose of this paper is to investigate the factors affecting citizens’ intentions toward sustainable tourism based on a research model integrating two theories: protection motivation theory (PMT) and theory of interpersonal behavior (TIB).

After in-depth interviews with ten people, the authors determined the official research model and builds a complete survey. With the random sampling method, data were collected from 628 Vietnamese respondents at some schools, enterprises and supermarkets. Using the PLS-SEM method, measurement and structural models were evaluated before testing the research hypotheses about the influence of factors on intention toward sustainable tourism.

This paper shows that all constructs of the integrated model PMT-TIB are related to intention toward sustainable tourism, and response efficacy is the most influential factor among the factors included in the research model. PMT-TIB integration model is proven to be superior to the original PMT and TIB models when studying factors affecting intention toward sustainable tourism.

The main limitation of this paper is that the PMT-TIB integration model only mentions motivational and interpersonal factors that influence intention toward sustainable tourism.

The findings indicate that state management agencies and enterprises need to develop specific action programs about each harmful environmental pollution caused by unsustainable tourism, raising awareness about the possibility of environmental protection through sustainable tourism.

This study contributes to the existing theoretical framework by integrating PMT and TIB for the first time in explaining intention toward sustainable tourism. This paper gives implications for Vietnam in particular and developing countries in general in promoting sustainable tourism intentions toward sustainable development according to the government’s goals.

本文的目的是基于保护动机理论（PMT）和人际行为理论（TIB）理论相结合的研究模型, 调查影响公民可持续旅游意愿的因素。

在对10人进行深入访谈后, 作者确定了正式研究模型并建立了完整的调查。 采用随机抽样的方法, 从部分学校、企业和超市收集了628名越南受访者的数据。 在检验有关因素对可持续旅游意向影响的研究假设之前, 使用 PLS-SEM 方法对测量和结构模型进行了评估。

本文表明, 综合模型 PMT-TIB 的所有构造都与可持续旅游的意愿相关, 而响应效能是研究模型中包含的因素中影响最大的因素。 在研究影响可持续旅游意愿的因素时, PMT-TIB集成模型被证明优于原始PMT和TIB模型。

本文的主要局限性是 PMT-TIB 整合模型仅提到动机和人际因素影响可持续旅游的意愿。

研究结果表明, 国家管理机构和企业需要针对不可持续旅游业造成的各种有害环境污染制定具体的行动计划, 提高人们对通过可持续旅游业保护环境的可能性的认识。

本研究首次整合PMT和TIB来解释可持续旅游业的意图, 为现有的理论框架做出了贡献。 论文对越南和广大发展中国家在促进可持续旅游意愿、根据政府目标实现可持续发展方面给出了启示。

El objetivo de este artículo es investigar los factores que influyen en la intención de los ciudadanos hacia el turismo sostenible basándose en un modelo conceptual que integra la teoría de la motivación hacia la protección (PMT) y la teoría del comportamiento interpersonal (TIB).

Tras la realización de entrevistas en profundidad con 10 personas, los autores determinaron el modelo de investigación y elaboraron un cuestionario. Utilizando un muestreo aleatorio para la recogida de datos, se obtuvieron 628 encuestados vietnamitas en escuelas, empresas y supermercados. Se empleó el análisis PLS-SEM para evaluar los modelos de medición y modelos estructurales antes del contraste de las hipótesis de investigación sobre la influencia de los factores en la intención hacia el turismo sostenible.

Este artículo muestra que todos los constructos del modelo integrado PMT-TIB están relacionados con la intención hacia el turismo sostenible y la eficacia de la respuesta es el factor más influyente entre los factores incluidos en el modelo conceptual. Se comprueba que el modelo integrador PMT-TIB es superior a los modelos PMT y TIB originales al estudiar los factores que afectan la intención hacia el turismo sostenible.

La principal limitación de este artículo es que el modelo de integración PMT-TIB solo utiliza factores motivacionales e interpersonales que influyen en la intención hacia el turismo sostenible.

Las conclusiones indican que los organismos estatales de gestión y las empresas deben desarrollar programas de acción específicos sobre cada contaminación ambiental nociva causada por el turismo insostenible, concienciando sobre la posibilidad de proteger el medio ambiente a través del turismo sostenible.

Este estudio contribuye al marco teórico existente al integrar por primera vez la PMT y la TIB en la explicación de la intención hacia el turismo sostenible. El trabajo ofrece implicaciones para Vietnam en particular y para los países en desarrollo en general en la promoción de las intenciones de turismo sostenible, hacia un desarrollo sostenible de acuerdo con los objetivos gubernamentales.

The tourist industry has to adopt a big data-driven foresight approach to enhance decision-making in a post-COVID international landscape still marked by significant uncertainty and in which some megatrends have the potential to reshape society in the next decades. This paper, considering the opportunity offered by the application of the quantitative analysis on internet new data sources, proposes a prediction method using Google Trends data based on an estimated transfer function model.

The paper uses the time-series methods to model and predict Google Trends data. A transfer function model is used to transform the prediction of Google Trends data into predictions of tourist arrivals. It predicts the United States tourism demand in Italy.

The results highlight the potential expressed by the use of big data-driven foresight approach. Applying a transfer function model on internet search data, timely forecasts of tourism flows are obtained. The two scenarios emerged can be used in tourism stakeholders’ decision-making process. In a future perspective, the methodological path could be applied to other tourism origin markets, to other internet search engine or other socioeconomic and environmental contexts.

The study raises awareness of foresight literacy in the tourism sector. Secondly, it complements the research on tourism demand forecasting by evaluating the performance of quantitative forecasting techniques on new data sources. Thirdly, it is the first paper that makes the United States arrival predictions in Italy. Finally, the findings provide immediate valuable information to tourism stakeholders that could be used to make decisions.

This article proposes that survival can be a legitimate organizational goal, challenging a common view that dismisses it as unambitious or contrary to innovation. Drawing parallels from nature and survival strategies across various systems, it advocates that organizations, much like living organisms, should prioritize survivability (i.e. ability to survive) to ensure long-term success. Contrary to being seen as limiting, survival, when understood in its broad sense, can encompass and enhance performance goals such as growth. The article outlines the ERP factors —efficiency, resilience and prominence—as key to achieving survivability, offering a framework for organizations to manage resources, adapt to external forces and balance visibility to thrive amidst challenges.

Conceptual framework.

This model introduces the significance of survivability as an organizational goal.

This article argues for the consideration of survival as an overarching organizational goal, challenging the prevalent view that dismisses it as unambitious or contrary to innovation.

The purpose of this paper is to investigate the most recurrent variables characterizing the collaborative relationships of industrial symbiosis (IS) (hereinafter also referred to as “anatomic” variables) established in the attempt to adopt circular economy (CE) by collecting evidence from a rich empirical set of implementation cases in Italy.

The current literature on IS was reviewed, and a content analysis was performed to identify and define the “anatomic” variables affecting its adoption in the circular economy. We followed a multiple-case study methodology investigating 50 cases of IS in Italy and performed a content analysis of the “anatomic” variables characterizing each case.

This research proposes the “anatomic” variables (i.e. industrial sectors involved, public actors involvement, governmental support, facilitator involvement and geographical proximity) explaining the cases of IS in the circular economy. Each “anatomic” variable is discussed at length based on the empirical evidence collected, with a particular reference to the impact on the different development strategies (i.e. “bottom-up” and “top-down”) in the cases observed.

Current literature on IS focuses on a sub-set of variables characterizing collaboration in IS. This research builds on extant literature to define a new framework of five purposeful “anatomic” variables defining IS in the circular economy. Moreover, we also collect and discuss a broad variety of empirical evidence in what is a still under-investigated context (i.e. Italy).

This study aims to answer the question of what characterizes organizations with future-potential, and with the help of a model introduced in this study, the authors propose what interventions can be identified and which improvements need to be made in traditional organizations so that they meet the requirements of future-potentiality.

A systematic literature review was conducted to identify management interventions. Citation and co-word analyses were also performed. Content analysis of 311 journal articles from the past five years was performed taking into account relevant keywords, and disciplinary narrowing was also applied. These articles were used to identify knowledge that could be used to suggest micro-, meso- and macro-level changes.

To develop the future potential of organizations, three organizational levels must be separated. The first is the micro level of relations between leaders and employees, where equity is a key value for future potentiality. It should be emphasized that not all employees’ organizational commitment is equally important for organizations with future potential, and leaders should strengthen their commitment according to individual needs and opportunities. The second is the meso level, where the decisive value is organizational moderation, and this suggests that a careful and restrained development is needed both in satisfying consumer needs and in innovation. The third is the macro level, where the defining value is responsibility and sustainability, which are necessary for achieving a state where the active development of national culture becomes possible.

Contrary to the authors’ expectations, it has been found that there are only a few studies dealing with change management for the purpose of achieving a future potential mode of organizational operation; thus, the results can be considered new and will contribute to the development of a cross-section of change management and future studies.