Platforms doi: 10.3390/platforms4020008

Authors: Carin Loubser-Strydom Klavdij Logožar

This article examines how platform-mediated crisis policy shaped inclusion and exclusion outcomes for small, medium, and micro enterprises (SMMEs) in the Western Cape during COVID-19. Integrating a market-failure perspective with entrepreneurial ecosystem theory, we present a theory-driven secondary analysis of 16 qualitative interviews and policy documents. We map five crisis-amplified failures—finance, markets, digital, institutions, and human capital—onto Isenberg’s six ecosystem domains and analyze how provincial interventions, particularly digital marketplaces, voucher schemes, and online coordination tools, functioned as governance mechanisms regulating access, visibility, and participation. The findings show that platform-mediated interventions accelerated coordination and digital market access but disproportionately benefited already connected firms, leaving institutional and inclusion gaps largely unresolved. We conceptualize sub-national crisis response as a form of platform governance and discuss implications for designing more inclusive digital policy infrastructures in middle-income contexts.

Platforms doi: 10.3390/platforms4020007

Authors: José Luis del Campo-Villares Antonio Blanco González

Rural territories continue to face persistent structural challenges related to depopulation, limited economic diversification, and unequal access to specialized knowledge. Although scientific research and applied expertise are widely recognized as critical resources for addressing these challenges, their effective transmission to local actors remains fragmented. In recent years, digital platforms have emerged as potential mechanisms to bridge this gap; however, their role within rural development frameworks remains conceptually underdeveloped. This paper proposes a conceptual framework for knowledge transmission platforms oriented towards rural development, integrating scientific research, applied analysis, and structured dissemination within a unified operational architecture. Drawing on a structured review of the literature on rural development, knowledge transfer, and digital platforms, the framework identifies key functional dimensions and design principles that shape platform-based knowledge intermediation. The framework is illustrated through a qualitative case study of CreandoTuProvincia, a Spanish platform focused on territorial analysis and rural knowledge transmission. The findings highlight the relevance of hybrid platforms that combine scientific rigour, accessibility, and territorial embeddedness, offering a scalable model for strengthening evidence-informed rural development strategies. By conceptualizing platforms as structured knowledge intermediaries, this study contributes to the emerging literature on knowledge-based rural development and provides practical insights for policymakers, researchers, and platform designers.

Platforms doi: 10.3390/platforms4020006

Authors: Adelina Zeqiri Issam Mejri Adel Ben Youssef

This study aims to systematically analyze scholarly research on virtual reality (VR), augmented reality (AR), and the metaverse in the tourism and hospitality sectors, offering insights into publication patterns, key contributors, thematic evolution, and potential research directions from 2016 to mid-2025. It maps how the literature evolved in response to technological maturation and changing tourism constraints. A systematic literature review and comprehensive bibliometric analysis were conducted using the Scopus database. The analysis encompassed bibliographic metrics, thematic clustering, and content analysis techniques to identify influential journals, authors, and evolving research themes. The results reveal a pronounced acceleration in research activity post-2020, reflecting heightened interest due to the COVID-19 pandemic’s push towards digital and immersive solutions. Core journals identified include Tourism Management, Current Issues in Tourism, and Journal of Travel Research. Influential contributors such as Timothy H. Jung, M. Claudia tom Dieck, and Dimitrios Buhalis significantly shaped the field. The thematic trajectory demonstrates a shift from initial exploration and application of VR and AR technologies toward comprehensive integration into metaverse ecosystems, with emerging themes such as digital twins, synthetic experiences, immersive storytelling, and growing emphasis on ethical and sustainability considerations. By synthesizing nearly a decade of research, this study provides valuable insights into immersive technologies’ evolution in tourism and hospitality, identifying critical areas for future investigation aligned with enterprise information management strategies.

Platforms doi: 10.3390/platforms4020005

Authors: Paola Bertola Chiara Colombi Manuela Celi Victoria Rodriguez Schön

This article explores how fashion, as a culture-intensive industry, can act as a testbed for ecosystem-centred sustainability transitions. Building on debates on the Triple Transition (green, digital, resilience) and the four pillars of sustainability (environmental, social, economic, cultural), the study addresses a theoretical and methodological gap: while transition agendas and sustainability frameworks are well developed at policy and conceptual levels, there is limited empirical integration of these frameworks into design-oriented methods capable of guiding situated organisational decisions in fashion and cultural and creative industries. It proposes a design- and futures-driven methodology that combines intuitive-logics scenario building, horizon scanning and a customised three-axis Polar Map. The Polar Map translates the Triple Transition into three composite orientations: Bios, Techné and Resilience, used to structure four narrative scenarios applied to the fashion ecosystem: Trailblazing Agency, Other-than-Human Agency, Constructive Agency and Normative Agency. Each scenario assembles concepts, weak signals and case examples into plausible configurations of the fashion value chain and its ecosystem. The results show how these scenarios act as meta-narratives, orienting devices and boundary objects that support futures literacy, make the cultural and intangible consequences of design decisions explicit and reveal interdependencies across value chains. Conceptually, the work operationalises combined transitions and the four pillars of sustainability in a flagship CCI; methodologically, it advances a design-oriented adaptation of scenario practices; and practically, it offers organisations narrative tools to rehearse ecosystem-centred innovation pathways. The conclusion reflects on structural constraints and methodological directions for further hybridisation within foresight methods.

Platforms doi: 10.3390/platforms4010004

Authors: Karina Villela Matthias Koch Nedo Bartels

Digital ecosystems are sociotechnical systems that connect various business actors via digital platforms. While they drive digital transformation across domains, their conceptual design remains challenging due to the need to address legal, technical, and business aspects simultaneously. Our research investigates which modeling concepts are relevant for this purpose and to what extent existing modeling techniques support their representation. A survey with 32 experienced practitioners and researchers revealed a diverse set of relevant views, elements, cross-cutting concerns, and principles. Some concepts—such as ecosystem overview and value exchanges—were broadly accepted, whereas others—including legal aspects and cooperation mechanisms—raised controversy. Based on the survey results, we developed an assessment framework and applied it in an action research study to evaluate five established modeling techniques. Despite their strengths, none of the techniques supporting all concepts were deemed highly relevant. The findings underline the need for a unified modeling technique grounded in shared concepts and multi-view representations. The proposed framework defines requirements for modeling techniques to support digital ecosystem design and enables their systematic assessment.

Platforms doi: 10.3390/platforms4010003

Authors: Yonghao Guan Fan Yu Yiqi He Xinyi Song

China’s urbanization has entered a stage of high-quality development, yet persistent urban expansion and the rapid rise of the digital platform economy have driven up energy consumption, making the decoupling of energy use from economic growth increasingly urgent. To address this challenge, this study examines how new urbanization influences the decoupling of energy consumption from economic growth in China and explores its underlying mechanisms. Using panel data from 30 Chinese provinces spanning 2014–2023, we employ a two-way fixed-effects model to test our hypotheses. The results indicate that new urbanization significantly suppresses energy-growth decoupling: a 1% increase in the new urbanization index reduces the decoupling index by 0.686 units. The expansion of the digital platform economy intensifies this suppression effect. Concurrently, technological innovation and government support play mediating roles. The study thus concludes that promoting high-quality new urbanization, accelerating technological progress, and strengthening government investment are key pathways to advancing decoupling.

Platforms doi: 10.3390/platforms4010002

Authors: Anupama Peter Mattathil Babu George Tony L. Henthorne

In digital marketplaces, trust in e-commerce platforms has evolved from a protective heuristic into a powerful mechanism of behavioral conditioning. This review interrogates how trust cues such as star ratings, fulfillment badges, and platform reputation shape consumer cognition, systematically displace critical evaluation, and create asymmetries in perceived quality. Drawing on over 47 high-quality studies across experimental, survey, and modeling methodologies, we identify seven interlocking dynamics: (1) cognitive outsourcing via platform trust, (2) reputational arbitrage by low-quality sellers, (3) consumer loyalty despite disappointment, (4) heuristic conditioning through trust signals, (5) trust inflation through ratings saturation, (6) false security masking structural risks, and (7) the shift in consumer trust from brands to platforms. Anchored in dual process theory, this synthesis positions trust not merely as a transactional enabler but as a socio-technical artifact engineered by platforms to guide attention, reduce scrutiny, and manage decision-making at scale. Eventually, platform trust functions as both lubricant and leash: streamlining choice while subtly constraining agency, with profound implications for digital commerce, platform governance, and consumer autonomy.

Platforms doi: 10.3390/platforms4010001

Authors: Fadi Sofi Anas Al-Fattal

Human Resource Information Systems (HRIS) are often introduced as platforms expected to deliver strategic value through workforce analytics, decision support, and alignment with organizational goals. Yet evidence consistently shows that line managers’ use remains confined to administrative functions. This paper addresses this paradox by reframing it through the lens of the attitude-behavior gap (ABG), a concept established in consumer research to describe the disconnect between favorable attitudes and actual behaviors. Drawing on qualitative interviews with 25 line managers in five UK organizations, the study identifies three themes: HRIS as an Administrative Rather than Strategic Tool, Organizational Identity and Role Expectations, and Confidence Gaps and Habitual Routines. Together, these themes illustrate how supportive attitudes toward HRIS coexist with restricted behavioral engagement, sustained by cultural scripts, situational barriers, and ingrained routines. Theoretically, the study extends the ABG beyond consumer contexts into organizational technology use, challenging the linear assumptions of dominant adoption models such as TAM and UTAUT. Practically, it highlights the need for cultural reframing of HR’s role, user-centered system design, and sustained training and integration efforts to enable more strategic engagement. By framing HRIS adoption as a context-dependent practice shaped by organizational roles and behavioral patterns, the paper offers deeper insight into why favorable attitudes toward innovation frequently fall short of producing substantive engagement.

Platforms doi: 10.3390/platforms3040021

Authors: Georgios Tsoupros Ioannis Anastasopoulos Sotirios Varelas Eleni E. Anastasopoulou

Platform-enabled governance is reshaping destination management, yet subnational destinations still lack replicable dashboards that combine key performance indicators (KPIs) with efficiency analysis. This study examines whether a compact KPI stack coupled with longitudinal Data Envelopment Analysis (DEA) can provide actionable targets for destination development management and marketing organizations (DDMMOs). Using 2020–2024 administrative data for five regional units of the Peloponnese, an output-oriented CRS DEA model is specified with one input (room capacity) and two outputs (tourism revenue and overnight stays), complemented by a VRS specification that decomposes Overall Technical Efficiency into Pure Technical and Scale Efficiency. The results show a clear differentiation in trajectories: one regional unit remains consistently on the efficiency frontier, and others exhibit gradual convergence towards best practice, while at least one unit displays persistent underperformance that is driven primarily by scale rather than managerial inefficiency. These distances to frontier are transformed into proportional, output-specific targets and dynamically updated peer sets, which are integrated into a KPI dashboard to support a continuous measure–act–learn loop on pricing, promotion, and capacity allocation. Overall, the article proposes a transparent, reproducible template that links destination competitiveness frameworks with a multi-input, multi-output efficiency lens and embeds KPIs and dynamic DEA insights in a continuous governance loop for destination management.

Platforms doi: 10.3390/platforms3040020

Authors: Carlos Andrés Merlano Porras Luis Arregoces Castillo Lisa Bosman Monica Gamez-Djokic

Public institutions are experiencing increased dynamism due to rapid technological development and digitalization, which are creating novel opportunities for innovation. This reality is particularly prevalent in high-accountability contexts, such as financial regulation, where the adoption of Artificial Intelligence (AI) drives new forms of governance. Orchestrating this technological shift can offer a path to enhanced effectiveness; however, it requires new capabilities to sense, seize, and reconfigure opportunities in a complex public-interest environment. However, prior findings lack insights into the specific dynamic capabilities and routines required for responsible AI adoption in the public sector. Therefore, this study investigates how a government institution develops dynamic capabilities to govern AI innovation. Through a single, in-depth case study of a national financial regulator, this study offers insights into the specific micro-routines that underlie the regulator’s sensing, seizing, and reconfiguring capabilities. We develop a capability-based framework that demonstrates that responsible adoption depends on a dual set of capabilities operating at both an internal (organizational) and an ecosystem (market-facing) level. This study’s findings carry implications for the literature on public sector innovation, dynamic capabilities, and platform governance, as well as for leaders managing technological change in governments.

Platforms doi: 10.3390/platforms3040019

Authors: Rosa Villarroel-Valdés Carla Valdés-Sarmiento Nelson Lay-Raby

This article explores the implications of digital labor intermediation platforms in paid domestic work (PDW) in Chile, a sector historically marked by informality and vulnerability. Drawing on a qualitative study conducted with members of the Federation of Domestic Workers’ Unions of Chile (FESINTRACAP), we analyze the narratives of workers who engage with digital platforms to access employment. We propose that these platforms, while expanding job search opportunities, reproduce and exacerbate precarious working conditions by weakening employment relationships, increasing surveillance through rating systems, and reinforcing structural inequalities such as gender, class, and migratory status. Using a grounded theory approach, we identify six thematic categories: (1) Access and Technological Transition, (2) Recruitment and Labor Matching Modalities, (3) Procedures and Technological Requirements, (4) Use of Ratings and Reputation, (5) Perceptions of Autonomy vs. Dependency, and (6) Lack of Regulation and Legal Guarantees. Our findings suggest that digital intermediation reconfigures labor relations under a neoliberal logic of individual responsibility while failing to provide institutional protections. We argue that the digitalization of labor intermediation in PDW deepens the sector’s historical patterns of invisibility and exclusion, highlighting the urgent need for regulatory frameworks that address the specificities of this type of employment.

Platforms doi: 10.3390/platforms3040018

Authors: Teresa Paiva

This paper explores how digital crowdsourcing platforms communicate sustainability-oriented innovation and mobilise stakeholder engagement. Through a directed content analysis of three platforms (OpenIDEO, San Francisco, CA, USA; Enel Innovation Hub, Rome, Italy; and InnoCentive, Waltham, MA, USA). The study examines communication strategies, participation models, and alignment with the United Nations Sustainable Development Goals (SDGs). Results show that communication is not neutral but functions as a governance mechanism shaping who participates, how innovation is framed, and what outcomes emerge. OpenIDEO fosters inclusive co-creation and SDG alignment, Enel Innovation Hub highlights technical readiness and energy transition, and InnoCentive relies on rewards and competition. Word-frequency analysis confirms these emphases, while interpretation through Motivation Crowding Theory, Social Exchange Theory, and Transaction Cost Theory explains how motivational framing, legitimacy signals, and participation structures affect engagement. The study contributes to research on open innovation and platform studies by demonstrating the constitutive role of communication in enabling or constraining sustainable collective action. Practical implications are outlined for platform designers, marketers, and policymakers seeking to align digital infrastructures with systemic sustainability goals.

Platforms doi: 10.3390/platforms3040017

Authors: Haiyang Zhou Yonghao Guan Shiyu Huang Enhui Zhao Han Xu

Green development serves as the foundation for high-quality development. As one of the most commonly used macroeconomic regulation policies, taxation is a crucial component of the modernization of the national governance system and governance capacity, playing an irreplaceable role in accelerating the comprehensive green transformation of economic and social development. Based on panel data from 30 provinces (municipalities, autonomous regions) from 2011 to 2021, this paper empirically analyzes the impact of green taxation on green transformation. The study finds that green taxation can significantly promote urban green transformation, and there is significant regional heterogeneity in the impact of green taxation on urban green transformation. Mechanism tests further reveal that green taxation influences the scale of urban investment platform debt, thereby driving urban green transformation.

Platforms doi: 10.3390/platforms3030016

Authors: Antonio Grieco Pierpaolo Caricato Paolo Margiotta

The increasing complexity of managing maintenance activities across geographically dispersed hospitality facilities necessitates advanced digital solutions capable of effectively balancing operational costs and service quality. This study addresses this challenge by designing and validating an intelligent Prescriptive Maintenance module, leveraging advanced Reinforcement Learning (RL) techniques within a Digital Twin (DT) infrastructure, specifically tailored for luxury hospitality networks characterized by high standards and demanding operational constraints. The proposed framework is based on an RL agent trained through Proximal Policy Optimization (PPO), which allows the system to dynamically prescribe preventive and corrective maintenance interventions. By adopting such an AI-driven approach, platforms are the enablers to minimize service disruptions, optimize operational efficiency, and proactively manage resources in dynamic and extended operational contexts. Experimental validation highlights the potential of the developed solution to significantly enhance resource allocation strategies and operational planning compared to traditional preventive approaches, particularly under varying resource availability conditions. By providing a comprehensive and generalizable representation model of maintenance management, this study delivers valuable insights for both researchers and industry practitioners aiming to leverage digital transformation and AI for sustainable and resilient hospitality operations.

Platforms doi: 10.3390/platforms3030015

Authors: Eike Permin Carsten Wohlgemuth Tom Keller

Since the term “Industry 4.0” was coined in 2011, machine data retrieval, storage and processing has been one of the major drivers for process optimization and factory management. Data platforms have been introduced as a key resource to process, align and enhance data from machines, sensors and other sources. At the same time, different use cases and applications vary greatly in their technical demands towards data amounts, formats, retrieval rate, scalability, latency and many more. Thus, holistic data platforms are often a compromise between these requirements. This contribution thus looks into the requirements and needs of different use cases and applications for data usage in manufacturing—from factory management, to process control and auxiliaries monitoring. From these use cases, specific requirements will be deducted to propose architectures that reflect the needs of these distinctive applications. From a structured literature analysis with more than 100 scientific publications, archetypes for data management platforms in manufacturing will be condensed and explained in detail. Overall, eight distinctive archetypes have been identified and clustered, with the major distinguishing feature being their reliance on extensive models or digital twin. This contribution closes with application examples for some of these archetypes.

Platforms doi: 10.3390/platforms3030014

Authors: Thales Botelho de Sousa Fábio Müller Guerrini Meire Ramalho de Oliveira José Roberto Herrera Cantorani

The rapid evolution of Industry 4.0 technologies has resulted in a scenario in which collaborative networks are essential to overcome the challenges related to their implementation. However, the frameworks to guide such collaborations remain underexplored. This study addresses this gap by proposing Business Rules and Goals Models to operationalize Industry 4.0 solutions through enterprise collaboration. Using the For Enterprise Modeling (4EM) method, the research integrates qualitative insights from expert opinions, including interviews with 12 professionals (academics, industry professionals, and consultants) from Brazilian manufacturing sectors. The Goals Model identifies five main objectives—competitiveness, efficiency, flexibility, interoperability, and real-time collaboration—while the Business Rules Model outlines 18 actionable recommendations, such as investing in digital infrastructure, upskilling employees, and standardizing information technology systems. The results reveal that cultural resistance, limited resources, and knowledge gaps are critical barriers, while interoperability and stakeholder integration emerge as enablers of digital transformation. The study concludes that successfully adopting Industry 4.0 requires technological investments, organizational alignment, structured governance, and collaborative ecosystems. These models provide a practical roadmap for companies navigating the complexities of Industry 4.0, emphasizing adaptability and cross-functional synergy. The research contributes to the literature on collaborative networks by connecting theoretical frameworks with actionable enterprise-level strategies.

Platforms doi: 10.3390/platforms3030013

Authors: Liu Yang Shaobing Qiu Ning Zhu Zhiqian Yu

This paper concentrates on the valuation of big data assets within the digital transformation of logistics enterprises. As data evolve into a core production factor in the logistics industry, their valuation is essential, not only for enterprises’ resource allocation decisions, but also as a key indicator for measuring the effectiveness of digital transformation. This paper combines the multiperiod excess earnings model with the analytic hierarchy process (AHP), creating an evaluation system through a comprehensive weighting method. Initially, the multiperiod excess earnings model is used to calculate the excess earnings of off-balance-sheet intangible assets. The AHP is subsequently applied to construct a hierarchical structural model of the enterprise, identifying the core factors that influence the excess earnings of off-balance-sheet intangible assets. This allows for precise segmentation and determination of the distribution rate of the value of data assets. The evaluation model fully accounts for the diversity, dynamics, and potential value of big data assets, effectively identifying and quantifying factors that are not easily observable directly. The findings not only provide a novel evaluation tool for data asset management in logistics enterprises but also offer theoretical support and practical guidance for enhancing the industry’s data asset valuation system and facilitating the realization of data asset value.

Platforms doi: 10.3390/platforms3030012

Authors: Amalya L. Oliver Rotem Rittblat

This paper provides a comparative review of digital and human (face-to-face) innovation platforms and their roles in promoting innovation and sustainability. These platforms are particularly significant in advancing sustainability objectives as outlined in Sustainable Development Goal 17, (SDG17) which emphasizes the importance of knowledge and technology partnerships to address sustainability challenges, foster innovation, and enhance scientific collaboration. Through a systematic literature review of organizational and management research over the past decade, the study identifies key features, benefits, and limitations of each platform type. Digital platforms offer scalability, asynchronous collaboration, and data-driven innovation, yet face challenges such as trust deficits, cybersecurity risks, and digital inequality. In contrast, human (face-to-face) platforms facilitate trust, emotional communication, and spontaneous idea generation, but are limited in scalability and resource efficiency. By categorizing insights into thematic tables and evaluating implications for organizations, the paper highlights how the integration of both platform types can optimize innovation outcomes. The authors argue that hybrid models—combining the scalability and efficiency of digital platforms with the relational depth of human (face-to-face) platforms—offer a promising path toward sustainable innovation ecosystems. The paper concludes with a call for future empirical research on platform integration strategies and sector-specific applications.

Platforms doi: 10.3390/platforms3030011

Authors: Godfried B. Adaba Francis Frimpong Leah Mwainyekule

Social media influencers (SMIs) have become pivotal stakeholders in digital marketing. This study examines how SMIs influence consumer decision-making and investigates the role of trust in this process. Drawing on the theory of planned behavior (TPB), we developed a research model with testable hypotheses. Using partial least squares structural equation modeling (PLS-SEM), we analyzed survey data from 232 social media users in Greater London, UK. Our results indicated that SMIs significantly enhance purchase intentions, yet these intentions exhibited only a weak conversion into actual purchasing behavior. Contrary to expectations, trust in SMIs demonstrated a significant negative relationship with purchase intention, suggesting that higher trust may paradoxically diminish purchase likelihood. This counterintuitive finding underscores the complexity of trust dynamics in influencer marketing, where perceived commercialization or consumer skepticism may counteract its positive effects. Furthermore, while SMIs strongly foster trust, our analysis reveals that trust does not mediate the relationship between SMIs and actual purchases. These findings contribute to literature by elucidating the nuanced role of trust and highlighting the intention–behavior gap in influencer marketing. Future research could explore contextual and psychological moderators to deepen our understanding of trust dynamics.

Platforms doi: 10.3390/platforms3020010

Authors: Gyongchan Chung

Despite remarkable quantitative growth in Application Programming Interface (API) call volume, Korea’s Open Banking Platform faces a critical qualitative imbalance. This paper investigates this hidden challenge, revealing a significant divergence between quantitative metrics and qualitative indicators. Through time-series analysis of registered accounts and user data, alongside examining financial institution and FinTech dynamics, I identify decelerating platform growth and constrained user base expansion. While API calls exploded, registered account and user growth lagged substantially. Platform growth exhibits player bias, and user base expansion has stagnated despite increased accounts-per-user ratios. These findings indicate that Korea’s Open Banking Platform’s sustainability is threatened by qualitative imbalances masked by quantitative success. I advocate for a shift to data-driven governance, moving beyond API call volume-centric metrics to qualitative indicators focused on user and account base assessment. I call for data-driven policy innovation to foster a more balanced and sustainable platform ecosystem, addressing growth slowdown and user base limitations.

Platforms doi: 10.3390/platforms3020009

Authors: Bernhard Kölmel Rebecca Bulander Lukas Waidelich Luc Schmerber Luca Fischer Abderrahim Moussaref

The European automotive industry, particularly in Germany, faces a significant crisis, heavily impacting suppliers reliant on OEMs. To enhance resilience, participation in the platform economy has been proposed as a solution. This study employs a qualitative research approach by conducting 18 expert interviews with automotive companies in the Northern Black Forest region to assess their awareness, perceived potential, and support needs regarding platform-based business models. The findings reveal diverse perspectives: smaller firms perceive higher risks, while larger companies recognize potential but struggle with limited expertise. The results highlight the novelty of the platform economy within the supplier industry and the need for increased awareness, strategic guidance, and tailored support measures. This study provides original insights into regional supplier engagement with platform ecosystems, contributing to the limited research on this topic and offering a foundation for future industry adaptation strategies.

Platforms doi: 10.3390/platforms3020008

Authors: Aanandita Bali Shuo Niu

Video-sharing platforms have significantly influenced social justice movements by creating unprecedented opportunities for mobilization and support. However, YouTube’s unique role and platform culture in facilitating social justice movements remain relatively understudied. This research addresses this gap by analyzing video content related to two prominent online social justice movements: #BLM and #StopAAPIHate. We conducted a comprehensive thematic analysis of a dataset comprising 489 videos obtained using the YouTube Data API. Thematic categories were developed to explore the identities of video creators, the type of information conveyed, storytelling techniques, and promotional features utilized. Our findings indicate that public figures, vloggers, and news reporters are the most frequent creators of videos supporting these movements. The primary purpose of these videos is to share movement-related knowledge and personal stories of discrimination. Most creators primarily promote their social media accounts and do not extensively utilize platform features such as live streaming, merchandise sales, donation requests, or sponsorships to actively support these social justice initiatives.

Platforms doi: 10.3390/platforms3020007

Authors: Zineb Maasaoui Mheni Merzouki Abdella Battou Ahmed Lbath

This paper presents an advanced framework for real-time monitoring and analysis of network traffic and endpoint security in large-scale enterprises by addressing the increasing complexity and frequency of cyber-attacks. Our Network Security Traffic Analysis Platform employs a comprehensive technology stack including the Elastic Stack, ZEEK, Osquery, Kafka, and GeoLocation data. By integrating supervised machine learning models trained on the UNSW-NB15 dataset, we evaluate Random Forest (RF), Decision Trees (DT), and Support Vector Machines (SVM), with the Random Forest classifier achieving a notable accuracy of 99.32%. Leveraging Artificial Intelligence and Natural Language Processing, we apply the BERT model with a Byte-level Byte-pair tokenizer to enhance network-based attack detection in IoT systems. Experiments on UNSW-NB15, TON-IoT, and Edge-IIoT datasets demonstrate our platform’s superiority over traditional methods in multi-class classification tasks, achieving near-perfect accuracy on the Edge-IIoT dataset. Furthermore, Network Security Traffic Analysis Platform’s ability to produce actionable insights through charts, tables, histograms, and other visualizations underscores its capability in static analysis of traffic data. This dual approach of real-time and static analysis provides a robust foundation for developing scalable, efficient, and automated security solutions, essential for managing the evolving threats in modern networks.

Platforms doi: 10.3390/platforms3020006

Authors: Zainab Jawad Balázs Villányi

Efficient supply chain management (SCM) is essential for enterprises seeking to enhance operational efficiency, reduce costs, and mitigate risks while ensuring product quality and customer satisfaction. Addressing quality concerns within the supply chain proactively helps minimize rework, recalls, and returns, leading to significant cost savings and improved profitability. This study presents a machine learning (ML)-driven predictive analytics framework designed to forecast defect rates and optimize quality control processes. The research leverages a dataset sourced from a real-world fashion and beauty startup, hosted in a public repository. The framework employs advanced ML algorithms, including extreme gradient boosting (XGBoost), support vector machines (SVMs), and random forests (RFs), to accurately predict defect rates and derive actionable insights for supply chain optimization. Results demonstrate the effectiveness of predictive analytics in improving supply chain quality management, enabling enterprises to proactively reduce defect rates, minimize costs, and optimize return on investment (ROI). The proposed framework is designed to be scalable and transferable, ensuring adaptability across various industries, including fashion, e-commerce, and manufacturing. These findings underscore the economic and operational benefits of integrating machine learning into supply chain quality control, offering a data-driven, proactive approach to achieving high-efficiency, high-quality supply chain operations.

Platforms doi: 10.3390/platforms3010005

Authors: Ruiyang Tang Xuanzhen Cui Yuki Inoue

With the rapid expansion of online shopping, website design has become a critical factor influencing user experience and consumer satisfaction. This study examines the relationship between visual marketing elements embedded in e-commerce web page design and consumer satisfaction by analyzing 1500 product pages across five major categories (furniture, small items, food, home appliances, and clothing) on the Japanese platform Rakuten. The analysis reveals that in the furniture category, a higher proportion of images featuring visible faces and video explanations demonstrated positive correlations with consumer satisfaction. For food products, text color diversity demonstrated positive correlations with consumer satisfaction. In the home appliance category, text color and video explanations showed positive correlations with satisfaction, while the number of human images and video music showed negative correlations. For accessory products, images positioned at the website periphery, the number of human images, and video music showed negative correlations with consumer satisfaction. In the apparel category, text color and the number of human images demonstrated negative correlations with consumer satisfaction. However, in the analysis of the entire sample, no significant correlations were observed between visual marketing elements and consumer satisfaction. These findings suggest that visual marketing strategies should be tailored to specific product categories, which may contribute to improving consumer satisfaction with e-commerce platforms.

Platforms doi: 10.3390/platforms3010004

Authors: Anastasia Panori

This study offers a theoretical contribution exploring the interplay between platforms, proximity, and regional development and highlighting platforms’ crucial role in transforming routines and enhancing regional capabilities. It argues that routines, defining regional organization and adaptability, exhibit high transformative potential through platforms. Additionally, the study outlines a five-phase platform integration process in the regional context—sensing, patterns, categories, relations, and sequences—emphasizing the progression from vague platform comprehension to nuanced perception. This symbiotic relationship between platform utilization and routine development reinforces regional adaptability, innovation, and success in a connected landscape, shaping new opportunities for proximity-driven development.

Platforms doi: 10.3390/platforms3010003

Authors: Daiane Maria de Genaro Chiroli Thallita Puzi Ferrassa Leticia do Nascimento Idalgo Marcela Marçal Alves Pinto Mick João Luiz Kovaleski Franciely Velozo Aragão Sergio Mazurek Tebcherani Fernanda Cavicchioli Zola

This paper explores the transformative potential of digital platforms in fostering resilient and intelligent urban environments, a critical need considering rapid urbanization and climate change. Through a comparative analysis of various digital platforms in global cities, this study identifies their role in enhancing operational efficiency, participatory governance, and urban innovation. Utilizing a structured maturity model based on the ISO 37123 standard for resilient communities, this research highlights the specific challenges faced by cities at different stages of digital transformation and provides practical recommendations for implementing digital solutions that integrate resilience, sustainability, and smart governance. The analysis underscores the importance of aligning digital platform development with the United Nations Sustainable Development Goals (SDGs), offering a pathway for cities to enhance resilience, optimize resource use, and promote citizen engagement.

Platforms doi: 10.3390/platforms3010002

Authors: Pedro Anunciação Filipe Lemos Mónica Bumba

Research purpose—Economy digital transformation has had a strong impact on several areas, such as employment, economic organization modus operandi, or the digital modernization of economic agents. Technological innovations, such as artificial intelligence, have resulted in new digital products and services that are smarter, autonomous, and complex. This evolution requires ethics and social responsibility as critical components of economic sustainability. Design/methodology/approach—This article analyzes the relevance of ethics and social responsibility among young information systems professionals. Given the technological specificity of the new generation, it was considered an opportunity to analyze sensitivity to their ethical obligations and responsibilities. A survey was sent to about 40 information systems and technology young professionals, as a convenience sample, to assess several dimensions of ethics and social responsibility, and to identify an opportunity for future studies. Findings—The results show that there is responsibility regarding the social effects of technology on technology users. However, it is noted that there is still a long way to go, because decisions regarding ethical and social responsibilities cannot be left to the discretion of each individual professional. Economic organizations should assume values, policies, and rules appropriated to the new order in the context of the information society. Originality/value/practical implications—The present study aimed to evaluate the relevance of ethics and social responsibility to information systems young professionals, and we expect that these results can encourage them to develop greater sensitivity to this issue, contributing to the change needed and desired.

Platforms doi: 10.3390/platforms3010001

Authors: Maja Turnšek Vladimir Radivojević

The paper serves to discuss the evolution of platform business models in tourism, the dynamics of market concentration, and regulatory interventions. We present the historical timeline of digitalization in tourism distribution models, starting from the Global Distribution Systems (GDS), and continuing with Online Travel Agencies (OTAs) and their market concentration in the duopoly of Expedia Group versus Booking Holdings Group. We continue to discuss the slow, yet uncertain, breaking of the global duopoly in the travel platforms market. On the one hand, the duopoly is challenged from the “bottom up”, where Airbnb is the most successful example, riding on the wave of popularity of the ideals of the “sharing economy” and the aftermaths of the 2008 global financial crisis. On the other hand, the duopoly is challenged from the “top down”—the most powerful digital players have started to extend their operations to tourism. The second section of the paper identifies three current areas of platformization in tourism operations—distribution, promotion and HRM. We analyze available industry and public statistics indicators in Europe for each of the three dimensions. Finally, we discuss the regulatory responses to the market concentration of travel distribution platforms. Although the challenge of market concentration is a global issue, and the threats are the same in many countries, we limit the discussion of regulation to the European context. In conclusion we discuss the possibilities of future development, and point to the threat of the further acceleration and interconnection of platformization and market concentration in the travel business.

Platforms doi: 10.3390/platforms2040016

Authors: Lázaro Florido-Benítez

This research aims to conceptualise the use of the digital twins (DT) tool in tourism to address smart tourist destinations’ future challenges to enhance tourists’ experiences and residents’ quality of life through better services developed by DTs. This paper investigated the use of DT technology to tackle the new challenges facing smart tourist destinations (STDs) in terms of urban planning, sustainability, security, marketing, and tourism activities by using data on this topic from expert researchers and public and private organisations. Also, this research adopted a systematic review approach to analyse and illustrate the existing literature on the topic of DTs and their use for STDs, which helped us develop the DT concept in a STD context. The findings of this research reveal that DT technology is emerging as a disruptive technology tool that is being used to improve the management of STDs in terms of their efficiency, safety, sustainability, environmental protection, productivity, and energy consumption. Moreover, DT technology is a nascent tool in the tourism and marketing industries, but its versatility in relation to its capacity to analyse data and predict the behaviour of tourism and business ecosystems to address relevant issues at STDs gives it a key role in the tourism industry. Finally, a new definition of DT technology has been included in this study within a tourism and STDs context, filling the gap in this topic in the tourism industry according to some researchers’ suggestions. There are limited scientific publications about DT technology that jointly tackle the DT technology and STDs sphere. Accordingly, this manuscript defines DT technology and provides a new viewpoint of this technology that will help to initiate academic discussions on DT tourism within the context of STDs.

Platforms doi: 10.3390/platforms2040015

Authors: Adelina Zeqiri

The hospitality business model has undergone profound changes influenced by successive waves of technological advances and platforms. This paper explores how different waves of technologies and platforms are shaping the evolution of the hospitality business model. Employing a systematic literature review, this research analyzes how platform innovation has driven significant shifts in the industry. The analysis yielded four key findings. Firstly, the incorporation of digital technologies resulted in a radical transformation of conventional business models, prompting substantial alterations in marketing strategies, distribution processes, and consumer behavior patterns. Secondly, the industry has undergone five significant technological revolutions, evolving from steam-powered transportation to the integration of artificial intelligence (AI) and the Internet of Things (IoT), thereby driving a shift towards innovation-centric business models. Thirdly, the advent of digital platforms, most notably online travel agencies (OTAs), posed a challenge to traditional hospitality models by introducing personalized experiences and disrupting established market norms. While digital platforms offer advantages such as enhanced convenience and customization, they also present challenges, including intensified competition and declining profit margins. Nonetheless, technological advancements such as AI, virtual reality (VR), and augmented reality (AR) present a potential avenue for redefining value propositions and enhancing customer experiences. Fourth, the future of the hospitality business model is poised for further disruption, influenced by the emergence of new virtual platforms and services. This could potentially result in a reshaping of the industry’s value chain and value proposition.

Platforms doi: 10.3390/platforms2040014

Authors: Run Tang Qirui Liu Ya Ou

The mismatch between supply and demand and inefficient supply in China’s agricultural product market is quite severe, making agricultural supply-side structural reform an important topic and task for rural economic work in China. The successful implementation of agricultural supply-side reform requires a comprehensive agricultural social service platform and system to support it. However, the current agricultural social service platform system in China faces issues such as a lack of coordination among service entities and poor information communication, making it difficult to meet the demands of supply-side reform. To address this issue, under the new circumstances of supply-side reform, this paper proposes the idea of reorganizing the agricultural social service platform and system through industrial chain collaboration theory, and applying “internet +” for technological reengineering of the agricultural social service platform system. Based on this, a new agricultural social service platform system architecture is constructed, which includes service entities, service platforms, service content, and operational models. The research findings provide guidance for agricultural product producers, distributors, sellers, and related service entities along the agricultural industry chain on how to use “internet +” for collaborative decision-making. This approach is beneficial for addressing the supply-demand imbalance and low resource allocation efficiency in China’s agricultural product market, thereby advancing the structural reform of China’s agricultural supply side.

Platforms doi: 10.3390/platforms2040013

Authors: Raksha Singh Arnesh Telukdarie Regionald Mongwe

The South African beauty and personal care industry has been significantly impacted by digital technologies, with social media influencers (SMIs) playing a pivotal role in shaping consumer behaviour. Despite the significant role of SMIs, there is a notable research gap in optimising their influence to boost customer engagement and drive sales. This study addresses this gap by introducing a comprehensive digital framework integrating artificial intelligence (AI) and digitalisation to enhance influencer marketing (IM) strategies in South Africa’s beauty and personal care industry. The primary objective is to present a novel approach that digitally overlays traditional SMI marketing processes, enhancing engagement and effectiveness. A mixed-method approach was employed, integrating quantitative data from web scraping and sentiment analysis (SA) of Instagram posts with qualitative insights from the existing literature. This approach facilitated data-driven decision-making and optimised IM efficacy through technology-driven feedback analysis. The empirical findings confirmed that incorporating AI into influencer marketing (IM) campaigns significantly improves data collection and sentiment analysis, enhancing consumer engagement and purchase intent. This study underscores the transformative impact of digitalisation on marketing practices and the potential of digital tools to optimise SMI strategies in the beauty and personal care sector. This research also provides a valuable framework for marketers aiming to enhance IM campaigns, emphasising the strategic advantage of an automated response workflow based on feedback analysis. This study contributes to developing more impactful digital marketing strategies, maximising the effect of SMIs, and ensuring market competitiveness.

Platforms doi: 10.3390/platforms2040012

Authors: Georgios A. Deirmentzoglou Eirini Vlassi Eleni E. Anastasopoulou

Background/Objectives: Destination Development, Management, and Marketing Organizations (DDMMOs) have the power to influence perceptions and behaviors regarding both actual and virtual travel in the rapidly changing landscape of digital environments. Within newly emerging Metaverse platforms, their websites can serve as critical touchpoints that enhance destination attractiveness and enable visitors to engage in valuable experiences. In this vein, this research attempts to determine if DDMMO website quality and destination image can influence users’ intention to virtually visit a place by using a Metaverse platform. Methods: Users who navigated a European DDMMO website were asked to fill out a self-administered questionnaire, and 318 responses were collected. Then, structural equation modeling (SEM) was used to test the research hypothesis. Results: The results show that website interactivity and affective destination image had a direct positive impact on a user’s intention to use the Metaverse platform. Furthermore, indirect impacts of website design and usefulness and cognitive destination image were detected. Conclusions: DDMMOs and destination marketing experts can gain valuable insights from the outcomes of this research. Thus, focusing on the aforementioned website features can help them enhance destination image and attract users to their Metaverse platforms.

Platforms doi: 10.3390/platforms2040011

Authors: Ünsal Özdilek

The traditional concept of real estate, rooted in physical attributes—including land, buildings, and infrastructure—has undergone significant transformation in the digital age. This paper repositions real estate as a foundational platform within the broader digital ecosystem, serving as an integrative node that connects various digital platforms. By examining processes such as informatization, servicization, automatization, e-spatialization, dematerialization, and humanization, this study demonstrates how these elements collectively embed economic, social, and environmental value states into the digital framework of real estate. Leveraging advanced technologies and interdisciplinary methodologies, this paper constructs a comprehensive framework for understanding real estate’s digital evolution. The findings highlight real estate’s pivotal role in providing essential spatial and digital infrastructure that support the integration and operation of other platforms. It contributes to the discourse on platformization by offering a new model for understanding and utilizing real estate in a digitally driven society while proposing strategies crucial for its successful implementation in the ongoing digital transformation.

Platforms doi: 10.3390/platforms2040010

Authors: Lucas da Silva Melo Reimison Moreira Fernandes Denilson Ricardo de Lucena Nunes Renata Melo e Silva de Oliveira Jonhatan Magno Norte da Silva Lucas Veiga Avila Vitor William Batista Martins

The study has as purpose to identify, analyze, and validate challenge constructs of Industry 4.0, which can affect the promotion of sustainability within the industry. A systematic literature review was conducted to identify challenges to the promotion of Industry 4.0 sustainability. A set of seventy challenges were grouped into the following eight constructs: finances, technology, organizational, human resources, legislation, geopolitical and economic factors, and both internal and external factors. Subsequently, the same constructs were validated using a survey involving industry professionals. The data were analyzed using the Lawshe method. Five constructs within the eight constructs were considered relevant to industry sustainability according to the experts’ opinion. The validated set of constructs included: finance, technology, organizational, human resources, and internal factors. This study contributes to the literature in the field by addressing a research gap of constructs identification based on expert’s opinions that impact Industry 4.0 in promotion of sustainable development. This study delivers theoretical and practical implications. From a theoretical standpoint, it contributes to expanding knowledge by providing valuable insights into the adoption of Industry 4.0 and its specific challenges concerning the pursuit of more sustainable practices. These implications extend to diverse research areas given the multidisciplinary nature of Industry 4.0.

Platforms doi: 10.3390/platforms2030009

Authors: Jelena Jovović Sunčica Vuković

As the global financial ecosystem undergoes a paradigm shift toward sustainability, platforms emerge as instrumental intermediaries, connecting diverse stakeholders, facilitating information flow, and catalyzing impactful investments. This paper analyses the evolving landscape of sustainable finance and investigates the role of platforms in fostering its growth. Sustainable finance platform-based enablers were determined using a systematic literature review and bibliometric techniques on a sample of papers retrieved from the SCOPUS database, and included crowdfunding platforms, impact investment platforms, peer-to-peer (P2P) lending platforms, blockchain-based financing platforms, and ESG data platforms. The analysis showed that platform-based solutions act as accelerators of sustainable finance mobilization, by enhancing transparency of the processes, and by improving dissemination and accessibility of the funds needed. Thus, platform-based solutions help a broader set of stakeholders direct the potential of platforms to accelerate the transition toward a more sustainable and inclusive global financial system.

Platforms doi: 10.3390/platforms2030008

Authors: Paschalis Koutalakis George Zaimes

Nonpoint source pollutants primarily originate from agricultural areas, settlements, and contaminated lands. Soil erosion and deposition are the means of transportation of pollutants since soil particles not only absorb but also transport contaminants through the stream network. Nature-based solutions (NbSs) are quite popular around the world to mitigate soil erosion and deposition, which has accelerated due to climate change and other anthropogenic activities. To promote their adoption, we developed an online decision support system (DSS) to provide land and water managers and particularly stakeholders with the optimal NbSs and ecosystem-based approaches (EbAs) that could help protect watersheds, streams, and consequently seas from pollutants. This DSS incorporates a descriptive data management system to handle datasets (questions, answers/criteria, outputs/solutions) from various stakeholders (e.g., policymakers, urban planners, environmentalists) and other non-experts. The questions of the DSS are related to different characteristics (criteria) of the areas of interest for the NbS or EbA. The questions provide various answers (which serve as descriptive data) in order to weigh the criteria/characteristics and, ultimately, the proposed NbS. The NbSs of the DSS were recorded based on a bibliographic review and from stakeholders’ responses via forums, meetings, workshops, etc. The primary testing results by stakeholders showed that the online DSS has the potential to be used as a complementary service in the near future. Specifically, it can provide the optimal NbS based on the participants’ answers about the study area. This communication paper may act as an invitation to reach a greater audience of stakeholders for the improvement of the online DSS.

Platforms doi: 10.3390/platforms2030007

Authors: Nasser Kasozi Victoria Namulawa Ivan Abaho Gerald Kwikiriza Constantine Ondhoro Andrew Izaara Chloe Kemigabo Howard Kasigwa Moses Ndugwa Gerald Iwe Ismail Kagolola Thaddeus Zaabwe David Mununuzi Daniel Ojiambo Lovin Kobusingye Ronald Lulijwa John Walakira

Uganda’s aquaculture sub-sector is rapidly developing, contributing up to 22% of all fish produced in the country. However, the sub-sector still faces challenges related to limited access to extension services, production inputs, post-harvest handling facilities, disease incidences, value-addition skills and weak market linkages. Although there have been isolated interventions at different aquaculture value-chain nodes, the registered challenges continue to recur. To address prioritized issues in Uganda’s aquaculture sub-sector, nine zonal aquaculture innovation platforms were established based on the country’s nine agro-ecological zones. These platforms brought together different stakeholders to identify solutions to common problems in each aquaculture value-chain node. Each innovation platform consisted of fish farmers, hatchery operators, traders, extension workers, researchers, input dealers, local leaders, and financial institutions. During a series of zonal workshops, participants identified constraints to the aquaculture sub-sector in their respective zones. From the findings, there are technical knowledge gaps across the entire aquaculture value chain mainly affecting hatchery operators, input suppliers, and farmers. Therefore, there is need for coordinated interventions to enhance access to production technologies, innovations, knowledge, and skill transfer to promote gender-centered aquaculture development.

Platforms doi: 10.3390/platforms2020006

Authors: Paula Rosa Lopes Albérico Travassos Rosário Filipe Sales Rosário

Advertising has been one of brands’ main allies in successfully promoting their products and services, creating trends and changing consumer mindsets, which allows them to increase sales and consequently achieve commercial success. The advertising medium has been evolving, increasingly encompassing new technologies as well as expanding its areas of intervention. This research article uses the Systematic Bibliometric Literature Review methodology, and its main objective is to clarify the state of the art regarding advertising and sustainability, since if advertising is one of the main allies for the success of brands, sustainability has become one of its main strategies. The starting question is whether advertising has been used to communicate sustainability. The methodology used in this study is a systematic bibliometric literature review (LRSB) to collect, analyze and synthesize data on advertising and sustainability, and covers a period of publications from the year 2007 to 2024, with the support of visual maps of the research indexed in the Scopus Database, created with VOSViewer. The aim was to give an overview of the studies published in this scientific area. The qualitative results of the analysis suggest that the theme of sustainability has been studied and associated with brands and sectors of activity such as luxury brands. The analysis leads to the suggestion of a reduced connection between sustainability and advertising, with studies on “green advertising” being mentioned, which allows us to affirm that this is an area that requires more in-depth studies, despite the fact that these initial results, on the one hand, help professionals in the field of digital marketing to make decisions, as well as clarifying the topic from a research point of view.

Platforms doi: 10.3390/platforms2020005

Authors: Mohamed Wael Ben Khaled Nadia Ouertani Abaoub

Digital platforms are becoming more important in transforming the energy industry and altering the way we produce, distribute, and use energy. This paper explores the role of energy platforms in the transition towards renewable energy. We highlight, through real-life examples, that these platforms foster a participatory approach, convert consumers into proactive participants, democratize energy production, and encourage innovation in areas such as storage, electric mobility, and renewable project investments. Through a comprehensive review of the current literature, technological advancements, and emerging business models, we identify the possible key contributions of digital platforms to the energy sector. These platforms offer personalized user experiences, mutual benefits for users and companies, adaptability to market changes, support for peer-to-peer trade, and a reduction in bureaucracy. We then present a pioneering conceptual model by Liu et al. (2022), which integrates the energy cloud, digital platform, and transaction platform and we explore the business model of energy platforms. This business model is characterized by connectivity, innovative pricing, and revenue strategies independent of physical asset ownership. Advanced technologies like artificial intelligence and blockchain facilitate peer-to-peer energy trading, dynamic pricing, and a focus on transaction and access fees over traditional cost structures. Drawing on the business model and previous analysis we update the conceptual model for energy platforms to present a practical vision through a holistic approach.

Platforms doi: 10.3390/platforms2020004

Authors: Yonghao Guan Jingjin Wu Yiqi He

Local government debt (LGD), an important financing tool for local governments to achieve high-quality development, especially through the expansion of urban investment bonds led by local investment and financing platforms, has a significant impact on green development efficiency (GDE). This article starts from LGD, selects data from 30 provinces from 2010 to 2019, and uses a two-way fixed-effect model and mediation-effect model to empirically analyze the impact of LGD on GDE. The research results show that LGD has a significant inhibitory effect on GDE, and LGD can indirectly affect GDE through the degree of industrialization and the number of the urban population. This article suggests that the government should make even fuller use of LGD funds, optimize the use of relevant funds, standardize the operation of local government investment and financing platforms, reduce debt risks, promote industrial structure upgrading, promote urban population resettlement measures, and improve China’s GDE.

Platforms doi: 10.3390/platforms2010003

Authors: Cheikh Abdou Lahad Thiaw

A global trend regarding the “platformization” of the internet has been, for years, emerging roughly across all traditional industries. It is reflected in the proliferation of digital platforms (DPs) based on the creation of new activities or the online expansion of offers traditionally available only physically (e.g., boutiques, supermarkets). Thus, digital platforms are a new springboard of development opportunities for all businesses, and Africa, with demographic (more than 1.2 billion customers), economic (middle-class boom), and technological (internet and smartphone penetration) dynamism, represents a huge potential market for the DP industry. This exploratory research is based on a qualitative approach applied to the case of Senegalese DPs. From its finding, we have a mapping of DPs and a classifying typology of the types of actors involved, according to their specialization and their paradigmatic orientation. New insights into how DP organizations and the firms within them operate and create value are proposed as well as a new conceptual framework for the articulation of DPs, specifically those particularly adapted to the African context. This work opens avenues for future research linked to the scale of the new challenges related to marketing and managerial issues and the new business models that have recently been developed by innovative local actors (TukkiJamm, ShopMeWay, etc.).

Platforms doi: 10.3390/platforms2010002

Authors: Noble Po-Kan Lo

This study investigates the implementation and impact of maker culture—viewed as a tool for developing green digital skills—in higher education institutions in Hong Kong. Maker culture, a collaborative educational approach, embraces students’ capacity for self-paced, autonomous learning and applies this knowledge to creative problem-solving and innovation, key aspects of sustainability education. An empirical study was conducted, focusing on the experiences of teachers in the higher education sector in Hong Kong. Eight individuals were interviewed to gain insights into their perceptions and experiences with maker education within sustainability contexts. The sample was limited to ensure cross-sectional comparability and direct weighting of teachers’ experiences within a singular, complementary educational setting. The findings provide valuable insights into the benefits and challenges of integrating maker education into traditional educational systems to foster green digital skills. It became evident that adequate resources, effective teachers, and improved administrative systems play significant roles in the successful implementation of this approach. Maker education, as a tool for developing green digital skills, offers a promising alternative to traditional performance-based studies. It has the potential to lead to a future of education that is creative, innovative, and student-directed, fostering sustainability competencies. Therefore, despite the challenges, with the right support and resources, the integration of maker culture into educational systems could significantly transform teaching and learning processes, advancing sustainable education.

Platforms doi: 10.3390/platforms2010001

Authors: Anastasia Panori

Platforms have the ability to create connected digital spaces where different actors co-exist and work together. The paper explores the power of platforms as enablers of a new channel of proximity, called digital proximity. It argues that platforms enable interactions, information flows, and network formation through digital proximity, which can effectively reinforce externalities complementing existing proximity forms or bypassing physical space barriers. Firms and industries adopting platform-based tools can create meaningful channels for increasing their proximity at an intra- and inter-firm level. The study uses data from the Digital Economy and Society database covering 25 EU countries for the years 2019 and 2021. It calculates the degree of adoption by EU firms at the national level for a set of selected platform-based technologies closely related to different proximity forms. It investigates the relationship between digital proximity, firm size, and industry, also introducing a geographical dimension. The evidence suggests that large firms have managed to integrate platform-based technologies to a greater extent, whereas small and medium firms still lack leveraging the full power of platforms. Increased adoption at the country level is also related to increased productivity, indicating the geographical dimension of platforms. The paper argues that platforms can be seen as a new means for balancing uneven spatial capabilities for producing proximity, indicating a high potential for fostering territorial cohesion. It concludes by suggesting that future research should measure the effects of digital proximity on development and their causal relationship to better elaborate on the implications of platforms on development.

Platforms doi: 10.3390/platforms1010006

Authors: Leif-Alexander Garbe Sebastian Glaß Florian Wald Andrea Hellmann Klaus-Dieter Weltmann Hans Sawade Fabien Schultz

Purpose: The alliance project “Physics for Food” aims to invent new physical technologies for sustainable agriculture and food production in Mecklenburg-Western Pomerania, an agrarian region in northern Germany. This article may serve as an example of good practice for regional collaboration and funding acquisition between academia and the industry, especially SMEs, that may be replicated in other rural contexts. Approach: The project consortium consists of a triple-helix setting of scientists from university and research institutes as well as technology suppliers, seed producers, and farmers. The German Federal Ministry of Education and Research (BMBF) funds the project in a special program called “WIR!” that addresses innovation and structural transformation of lagging regions in Germany. Findings: The program encourages development of regional innovation concepts and supports confederations that cross disciplinary, industrial, institutional, and administrative boundaries and thrive on civic involvement. Today already, there is huge potential and an increasing demand for the development and the supply of novel non-chemical alternatives in plant and storage protection in agriculture and food production. Originality: The project aims to lay the foundation for startup companies based in the region to act as innovative technology providers and to create jobs in the region while making the new technologies available nationally and internationally. The application of physical methods will decrease costs, conserve resources, and eventually contribute to protecting the environment.

Platforms doi: 10.3390/platforms1010005

Authors: Mounir Dahmani Adel Ben Youssef

The platform economy has emerged as a transformative force in various industries, reshaping consumer behavior and the way businesses operate in the digital age. Understanding the factors that influence the adoption of these platforms is essential for their continued development and widespread use. This study examines the determinants of economic platform adoption in Tunisia by extending the widely used unified theory of acceptance and use of technology 2 (UTAUT2) model with a privacy calculus model. By applying the partial least squares structural equation modeling (PLS-SEM) technique, the research provides significant insight. The results highlight the critical influence of factors such as performance expectancy, habit formation, trust in technology, perceived risk, privacy concerns, and price value on users’ behavioral intentions and actual usage of the platforms. These findings provide a deeper understanding of the dynamics surrounding the adoption of the platform economy in developing countries and offer valuable insight for stakeholders. By leveraging this knowledge, stakeholders can foster an inclusive digital ecosystem, drive economic growth, and create an environment conducive to the widespread adoption and use of the platform economy in developing countries.

Platforms doi: 10.3390/platforms1010004

Authors: Nino Samnidze Ibraim Didmanidze Medea Diasamidze Diana Akhvlediani Nino Kirvalidze

Efficiency and engagement are considered to be the most critical components of teaching and learning. Teachers have always strived to maximize student involvement and quality participation with the help of various teaching techniques and strategies. The purpose of this study was to explore the ongoing online learning process in language classes and find out ways to enhance student engagement in the process. Research methods: a questionnaire survey and observation were used to determine students’ attitudes, expectations, and the level of involvement in online learning at Batumi Shota Rustaveli State University. The findings reveal the need to enhance student motivation. The research demonstrates that setting various authentic and interactive tasks with meaningful aims can significantly improve student focus. Additionally, incorporating social and emotional activities and providing teacher support and encouragement can facilitate student interaction and trigger an interest in lifelong learning.

Platforms doi: 10.3390/platforms1010003

Authors: Marina Borisovna Ianenko Mikhail Evgenievich Ianenko Ekaterina Vladimirovna Shevchuk

As innovative technologies spread, the role of means of interaction with customers in the digital environment is growing. Virtual reality technologies are becoming one of the most promising tools for significantly expanding customer interaction in the context of digital transformation. The purpose of this article is to analyze the brand strategies of the leading companies and show the possibilities of using virtual reality technology and the concept of the metaverse for brand formation and promotion. We also aim to assess the prospects and formulate recommendations on the use of the digital environment in brand management strategies. To achieve the set goal, several tasks were completed. The authors analyzed the experience of using the digital environment for interacting with customers and studied the influence of VR, AR, MR, and XR technologies on brand management. Additionally, the possibilities of using the metaverse concept for brand management was defined. In this work, general scientific theoretical and empirical research methods were applied. The study furthers the theoretical foundations of brand management in the digital environment via innovative branding technologies that support an increase in the competitive performance of companies.

Platforms doi: 10.3390/platforms1010002

Authors: Min-kyeong Kim Dongkyu Hwang Duckshin Park

In accordance with the paradigm of the 4th and Industrial Revolution, the introduction of building information modeling is expected in all areas related to railroad construction, operation and management, along with the establishment of a metaverse platform that combines big data, the Internet of Things, and artificial intelligence. The performance of tasks related to the safety and maintenance of railway facilities is aided by the use of digital systems free from physical and temporal constraints. Three-dimensional (3D) modeling and other 4th industrial technologies, such as unmanned aerial vehicles (UAVs) and light detection and ranging (LiDAR), are increasingly implemented in many types of infrastructure. With respect to railroads, the use of these methods to monitor tunnel spaces has been hindered by the limitations of modeling with UAV and inadequate Global Positioning System reception. Here, we conducted the domestic application of 4th industrial technologies to a railway tunnel; we addressed these problems using a BLK360, a fixed LiDAR device that combines two-dimensional panoramic images and a 3D point cloud method. The outcomes of this research will benefit railway operation managers by providing a platform combining a two-dimensional panoramic virtual reality (VR) image and a 3D model developed from a 3D scan framework for the maintenance of existing railway facilities (tunnels). Our approach was optimized for the maintenance and operational management of railroad facilities, as demonstrated for tunnels, because it continuously acquires time-series data that is appropriate for the maintenance of the corresponding space. In the future, this approach can be used for test tracks and operational lines.

Platforms doi: 10.3390/platforms1010001

Authors: Adel Ben Youssef

The rise of the platform is one of the three iconic events of the “digital revolution” [...]