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Platforms

Platforms is an international, peer-reviewed, open access journal on platform management, services, policy and all related research published quarterly online by MDPI.

All Articles (43)

Platform-Enabled Destination Management: KPI Dashboards and DEA Benchmarking in the Peloponnese

  • Georgios Tsoupros,
  • Ioannis Anastasopoulos and
  • Sotirios Varelas
  • + 1 author

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.

17 December 2025

Platform-enabled co-creation in smart destinations across the visitor journey (pre-travel, on-site, and post-travel). Source: Created by the authors, and grounded in smart tourism and smart DMO literature [6,7,8,9,31,32,33,34,35] and destination offering and competitiveness frameworks [18,19,30].

Driving Strategic Innovation Through AI Adoption in Government Financial Regulators: A Case Study

  • Carlos Andrés Merlano Porras,
  • Luis Arregoces Castillo and
  • Lisa Bosman
  • + 1 author

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.

16 December 2025

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.

3 November 2025

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.

8 October 2025

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Platforms - ISSN 2813-4176