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This study aims to identify Critical Success Factors (CSFs) for tourism route development and proposes a tailored conceptual model. It addresses a comprehensive range of tourism routes, considering their respective goals and performance.

The authors applied a qualitative approach to investigate five tourism routes, interviewing 31 current and former members and examining secondary data from organisational documents. A conceptual model was developed through content analysis of transcripts and secondary data.

Based on the identified CSFs, the model is organised into six components: Product, Goals, Resources, Governance, Activities and Performance assessment.

The study analyses various tourism routes concerning their products, implementation levels, goals, performance and perceived success.

Most respondents are public authorities from European countries. Besides, consideration should be given to developing quantitative research to validate the derived theory.

The model may facilitate participants in enhancing and developing tourism routes, thereby contributing to achieving sustainable development goals related to rural-urban connections and tourism partnerships.

The development of tourism routes is expected to impact socio-economic development in rural/peripheral areas positively.

本研究旨在确定旅游线路开发的关键成功因素 (CSFs), 并提出量身定制的概念模型。本文提出了一系列旅游线路, 考虑了各自的目标和绩效。

我们采用定性方法探究了五条旅游线路, 采访了 31 名现任和前任成员, 并检查了组织文件中的二手数据。通过对记录和二手数据的内容分析, 开发了一个概念模型。

根据识别的关键成功要素, 该模型分为六个部分：产品、目标、资源、治理、活动和绩效评估。

本研究分析了各种旅游线路的产品、实施水平、目标、绩效和感知成功。

大多数受访者是来自欧洲国家的公共当局。此外, 还应考虑开展定量研究来验证所得出的理论。

该模型可帮助参与者改善和发展旅游路线, 从而有助于实现与城乡联系和旅游伙伴关系相关的可持续发展目标。

旅游路线的发展预计将对农村/边缘地区的社会经济发展产生积极影响。

Esta investigación se centra en diversas tipologías de rutas turísticas, buscando identificar Factores Críticos de Éxito (FCE) y proporcionar un modelo conceptual adaptado.

Aplicamos un enfoque cualitativo para investigar cinco rutas turísticas. Entrevistamos a 31 miembros y examinamos datos secundarios de documentos organizativos. Se desarrolló un modelo conceptual mediante el análisis de contenido de transcripciones y datos secundarios.

Basado en los FCE identificados, el modelo está organizado en seis componentes: Producto, Objetivos, Recursos, Gobernanza, Actividades y Evaluación del desempeño.

El estudio analiza diversas rutas turísticas en relación con sus productos, ubicaciones y nivel de implementación, así como los objetivos, rendimiento y éxitos percibidos de los involucrados.

La mayoría de los encuestados son autoridades públicas de países europeos. Se debe considerar el desarrollo de investigaciones cuantitativas para validar la teoría derivada de este estudio.

El modelo puede potencialmente ayudar a los participantes a mejorar y desarrollar rutas turísticas, contribuyendo así a lograr los objetivos de desarrollo sostenible relacionados con las conexiones rural-urbanas y las asociaciones turísticas.

Se espera que el desarrollo de rutas turísticas tenga un impacto positivo en el desarrollo socioeconómico en áreas rurales/periféricas.

Given the potential for authorial fashion to lead the way in the field of sustainable fashion and digital platforms to be a powerful tool for spreading sustainable messages, this study seeks to explore the emphasis given to sustainability in the digital communication of Portuguese and Spanish’s authorial fashion.

A thematic analysis of all the posts published on the feeds of the 63 designers who presented their collections at the Madrid and Lisbon fashion weeks in September/October 2022 (Spring/Summer 2023) or February/March 2023 (Fall/Winter 2023/2024) editions was carried out. The information was collected over a six-month period between the two fashion weeks. This study is based on the categories identified in the reflexive thematic analysis developed by Testa et al. (2020). After adapting the categories to our analysis, 14 emerging themes were identified as observation criteria.

A total of 4,699 posts were examined. The analysis reveals a general lack of interest in mentioning sustainability – a subject evident in just around 6% of the content – as well as a high emphasis on the visual aspect of the fashion product. Several similarities between the Portuguese and Spanish markets were observed.

This study is important since there are few cross-cultural studies in the field of fashion between the two countries, particularly on sustainable fashion. Furthermore, it establishes a structure that is easily replicable in various markets and geographical areas.

This study aims to investigate the impact of political influence on the connection between internal governance mechanisms and the sustainability of social enterprises in Malaysia.

A total of 85 social companies from Malaysia were included in the survey. The hypotheses were examined using the bootstrapping approach and structural equation modeling using the partial least squares method.

The results of this study indicate that both internal governance structures and political influence significantly impacted the long-term sustainability of social enterprises. The study’s findings indicate that political influence substantially impacts how internal governance mechanisms affect the sustainability of social enterprises. Nevertheless, it is critical to acknowledge that the correlation between internal governance procedures and sustainability is deemed weak.

This study aims to address and strengthen the boundaries of social entrepreneurship literature by using the resource-based view (RBV) and the resource dependence theory (RDT) theories. RBV and RDT align with the theoretical concept of social entrepreneurship and demonstrate the interplay between agility and a taxonomy of elements that promote sustainability adoption.

This study investigates the correlation between political influence, internal governance mechanisms and sustainability to enhance comprehension of the dynamic corporate landscape. The objective is to ensure that the internal governance mechanism of social enterprises is in line with long-term sustainability objectives, even in the context of potential political changes.

This study offers valuable knowledge for policymakers aiming to enhance the governance and accountability of social enterprises. The success of such businesses hinges on their capacity to regulate both financial sustainability and their social objective proficiently. Social enterprises can achieve a mutually beneficial model by effectively balancing these two objectives, benefiting their business and the communities they intend to serve.

To the best of the authors’ knowledge, no previous research has been conducted to examine how political influence affects the relationship between internal governance mechanisms and the sustainability of social enterprises in Malaysia. The results of this study could enhance social enterprises’ ability to achieve long-term sustainability.

The present study examines the impact of sustainable transitions on the energy and environmental efficiency (EEE) of nations across the developed and developing world. It studies the temporal shift in the share of renewable sources in energy generation. It also analyses the shift in the efficiency frontier of nations using data envelopment analysis (DEA). Further, it studies the macro-level drivers of EEE in the countries.

As the first step, we benchmark the EEE of the developed and developing nations using DEA. Subsequently, we look at the influence of institutional quality, human capital, R&D and knowledge systems on EEE, to develop a comprehensive understanding of the macro-level drivers of EEE.

Our analyses reveal that a country’s institutional quality, human capital and R&D are critical determinants of EEE. The results show that while human capital has a significant positive impact on EEE, R&D expenditure alone has no substantial impact. The findings also suggest that knowledge diffusion disperses best practices across nations and bridges EEE gaps.

Attempts to promote sustainable energy transitions and improve EEE have met with varying levels of success. The results of this study will provide a useful guideline for the governments to achieve the goal of EEE through sustainable energy transitions (SET).

Unlike previous studies, we adopt a multi-factor EEE assessment. We also examine additional influences like the human capital of a nation and its knowledge management system to develop a comprehensive understanding of the macro-level drivers of EEE.

Designing effective business analytics (BA) platforms that visualise data, provide deep insights and support data-driven decision-making is a challenging task. Understanding the elements shaping BA platform design is crucial for success. The purpose of this study is to explore the impact of visualisation on usability (UI) and user experience (UX) while emphasising the importance of insights understanding in BA platform design.

This paper presents a case study following a startup’s journey as it undergoes two redesign phases for its BA platform. A combination of quantitative and qualitative methods is used to assess UX/UI and insights understanding of the platform. Indicatively this included semi-structured interviews, observations, think-aloud techniques and surveys to monitor runtime per task, number of errors, users’ emotions and users’ understanding.

Our findings suggest that modifications in aesthetics and information visualisation positively influence overall usability, UX, and understanding of platform insights – a critical aspect for the success of the startup.

Our goal is not to make a methodological contribution, but to illustrate how companies, constrained by time and pressure, navigate platform changes without meticulous design and provide learnings on important elements while designing BA platforms.

This paper concludes with suggested methods for assessing BA platforms and recommends practical practices to follow. These practices include recommendations on important elements for BA platform users, such as navigation and interactivity, user control and personalisation, visual consistency and effective visualisation.

This study contributes to practice as it presents a real-life case and offers valuable insights for practitioners.

This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one of the industry 4.0 pioneers.

Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.

As a result, the majority of uniform parts printed in polymer form are known up to this point. In a novel division for better researchers’ comprehension, uniform printing systems were classified into three categories: oxygen inhibition (OI), liquid lubrication (LL) and photon penetration (PP), and each was thoroughly investigated. Furthermore, these three approaches were evaluated in terms of printing speed, precision and accuracy, manufacturing scale and cost.

The parameters of each approach were compared independently, and then a practical comparison was conducted among these three approaches. Finally, a variety of technologies, opportunities, challenges and advantages of each significant method, as well as a future outlook for layerless rapid prototyping, are presented.

The paper aims to interpret sustainable regional development (SRD) as an exchange ecosystem in which stakeholders provide reciprocal access to resources, benefiting both individual and systemic levels. This paper suggests that knowledge, as a shared and value-transcribed critical resource, nourishes a community’s motivational system (CMS), orienting it toward SRD. This inherently raises questions regarding the nature of social business models (SBM) that can best support community’s motivational system, as well as their sustainable regional development derivatives.

This paper employs the Fuzzy Expert System (FES) to analyze companies participating in the three most representative Italian consortia, aiming to empirically address the knowledge gap regarding the influence of social business model on sustainable regional development.

Applying our theoretical framework to Agro-food Protection Consortia – a specific type of hybrid social, regional value-oriented business organization – this paper demonstrates that knowledge sharing along environmental, social and economic dimensions enhances sustainable regional development. Using the IF (condition) → THEN (action) logic of fuzzy method, the study identified knowledge exchange as a key condition motivating actors to contribute to sustainable regional development. This dynamic approach enables better alignment between stakeholders and regional goals.

This paper presents practicable participatory strategic guidelines that balance informal and formal governance mechanisms with the catalytic and enhancing connection of strategic business initiatives for Sustainable Regional Development.