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The purpose of this paper is to examine the relationship between logistics park platforms, logistics location and operational performance. Relationship analysis helps managers respond to the changes that today’s logistics companies face, which include limited resources and facilities, market uncertainties and financial instabilities.

A structured questionnaire is developed based on the resource-based view. Qualitative data collected from 273 companies in China are used in a structural equation model to test the conceptual model.

In logistics parks, logistics park platforms and location positively influence companies’ resource integration, which is positively related to operational performance. While logistics park platforms can improve operational performance directly, logistics location cannot. Resource integration is thus a full mediator between logistics location and operational performance, while it is a partial mediator between logistics park platforms and operational performance.

This study fills a gap in the literature on logistics parks, particularly on the relationships among operational performance, resource integration, logistics park platforms and the location of logistics parks in China. The authors provide guidelines for logistics park managers to organize their resources and develop capabilities for improving the operational performance of companies in logistics parks.

The concept of entrepreneurship in platform enterprises has evolved and developed. The purpose of this paper is to explore how entrepreneurship in platform enterprises can be transformed into the sustainable innovation capability of enterprises based on knowledge integration.

This study adopts a questionnaire survey. The research samples are mainly from well-known domestic platform enterprises, EMBA students and professional online websites, 389 valid questionnaires were collected.

The results show that entrepreneurship has a positive impact on the sustainable innovation capability of platform enterprises, knowledge integration plays a partial mediating role between entrepreneurship and sustainable innovation capability of platform enterprises. Shared leadership plays a moderating role between entrepreneurship and knowledge integration and knowledge-sharing atmosphere plays a moderating role between knowledge integration and sustainable innovation capability of platform enterprises.

This paper emphasizes the key role of entrepreneurship in platform enterprises on the sustainable innovation capability and discusses the realization path of the sustainable innovation capability of platform enterprises from the perspective of knowledge integration, which is of great significance for developing the research system of entrepreneurship and promoting the construction of sustainable innovation capability of platform enterprises.

In smart cities pervasive systems are deployed by enterprises and stakeholders in municipalities to provide digital services to citizens. But cities are faced with the challenge of achieving system pluggability, mainly service integration due to numerous actors and systems needed for smart urban transformation. Hence, there is need to employ a comprehensive and holistic approach to help achieve service integration of pervasive platforms. Therefore, this study presents an Enterprise Architecture Framework (EAF) to support smart urban transformation.

In this study the design science research methodology is adopted based on a multi-case studies of two organizations and data is collected using semi-structured interview from an organizations and municipality in Norway to validate how service integration can be achieved by the developed EAF to address pluggability challenges faced in urban environment.

Findings suggest that the presented EAF provides the structure to manage changes and maintain urban transformation and aims to align the business with the underlying information systems from the perspective of the stakeholders. Additionally, findings from the case studies modelled in ArchiMate language depict how service integration of different pervasive platforms provide digital services for smart urban transformation.

This research only employed semi-structured interviews to validate service integration of digital platforms, other identified dimensions of pluggability were not fully addressed in this study.

Findings from the case studies provides insights on how pervasive platforms can be integrated to achieve a pluggable digital service from different stakeholders and data sources in practice. The developed EAF presented in this study provide a model that supports collection and exchange of data from different data sources in smart urban environment to enable the provision and consumption of digital services.

The developed EAF aids system pluggability of actors and systems in providing digital service such as smart urban transformation that contributes to sustainable use of electric mobility in cities.

As cities increasingly deploy pervasive platforms to support urban innovation, researchers are seeking to explore how these platforms shape urban transformation. Presently, prior studies do not offer important insights into pervasive platform management from urban perspective. Against this backdrop, this study employs the information systems perspective of digital platforms literature roots in software development and physical product development to depict how the EAF can be employed to describe specific cases that integrate different pervasive platforms deployed by different stakeholders communicating to co-create collective digital services to citizens.

This study takes the cinema industry as the research context and investigates the impact of online to offline (O2O) platforms on cinemas' performance. Specifically, the purposes of this paper are threefold: first, to study the influence of platform multihoming on cinemas' performance; second, to examine the interaction impact of platform multihoming and vertical integration; third, to investigate how the influence of platform multihoming varies with cinemas' performance.

This study collects data from 1918 cinemas in China, employs quantile regressions to estimate the model and test the proposed hypotheses and adopts an instrumental variable method to examine the robustness of our results.

The findings confirm the positive role of platform multihoming for cinemas' performance. However, when a cinema has low-degree platform multihoming, the cinema's vertical integration is positively associated with its performance; when a cinema has high-degree platform multihoming, the cinema's vertical integration is negatively associated with its performance. Furthermore, results from quantile regressions indicate that low-performance cinemas benefit more than high-performance cinemas from employing platform multihoming strategy.

This paper extends previous research by investigating the impact of platform multihoming on heterogeneous firms and the impact of interaction between platform multihoming and vertical integration. The findings imply that the impact of platform multihoming on firms' performance depends on firms' performance attributes and their vertical relationships.

Platform multihoming can be a double-edged sword for local service firms. When multihoming platforms, a local service firm should think about the fit between platforms and its own attributes, and identify the potential conflict between platform relationships and traditional relationships of industrial organization.

There is a growing interest in understanding platforms' role in the digital economy. The impact of platform participation on local service firms' performance is not sufficiently investigated. Previous research rarely addressed the impact by incorporating local service firms' performance attributes and the existing relationships of industrial organization.

With emerging markets representing great growth opportunities and serving as indispensable components in the global supply chain, it is unclear how well modern supply chain management theories developed in advanced markets apply to emerging markets. This study integrates the institution-based view with supply chain management literature to examine how integration capabilities can be leveraged to achieve supply chain agility in emerging markets and how the efficacy of integration capabilities is shaped by internal and external institutional contexts.

This study examines how firms in emerging markets can leverage their platform integration and knowledge integration capabilities with channel distributors to improve the supply chain agility and how such relationships are shaped by both the internal (proxy by ownership structure) and external (proxy by regional openness) institutional contexts in which firms operate. Survey and archival data collected from 207 firms operating in China, one of the largest emerging markets, were used to test the proposed research model.

The results reveal that platform integration and knowledge integration are two driving forces for supply chain agility in the emerging markets. Moreover, the results indicate that state-owned firms are able to achieve higher supply chain agility from their investments in knowledge integration with channel distributors than non-state-owned firms. While firms in regions with a high level of openness enjoy higher supply chain agility from knowledge integration, firms in regions with a low level of openness can catch up by investing in platform integration with their channel distributors.

The authors extend the extant study on supply chain integration (SCI) research to examine how operational and strategic integration with channel distributors can help the focal firm achieve supply chain agility in emerging markets. The study results also enrich the existing studies in emerging markets by revealing the importance of the institutional context in which firms operate on B2B channel management.

The implementation of the national education and lifelong education should break through the traditional learning mode in the digital era. A seamless learning environment is the intelligent form of deep integration of digital learning environment and physical learning environment. The development and construction of seamless learning space and platform is a new trend of international mobile learning research and practice. So, the purpose of this paper is to build a seamless learning platform of the open education system by expanding and improving the connotation and extension of seamless learning, based on the theories of mobile learning, ubiquitous learning and open education, combining with the characteristics of the big data era.

A seamless learning platform model will be constructed through constructing five modules including resource integration module, requirement module, management module, teacher integration module, and carrier module, using interdisciplinary research methods (combined with economics), functional analysis, model methods and exploratory research methods. Finally, this paper attempts to realize the application of a seamless learning platform in open education through the strategic path of public-private partnership (PPP).

Seamless learning platform model given by this paper can effectively eliminate the problem of information asymmetry between learner-demander and educational manager through the effective management of carrier fusion module. Furthermore, it can effectively integrate the learning resources and teachers of the open education system and social individual education system, and provide high-quality shared learning resources and diverse stratification teachers to students and social workers through PPP project cooperation ways.

There are many papers on the study of open education and resource construction. However, few papers have studied how to effectively integrate and optimize various existing scattered online resources, including various system courses, teachers and platform systems. The paper provides an effective way to solve the above sub-problems and the realization path/model reference for the effective and accurate promotion of lifelong sustainable learning for all.

Covid has increased the usage of multisided digital platforms. For companies, this has become a business opportunity. Data usage on platforms requires that platform companies co-create services for common customers. In this case, the target is not to make the same value proposition but rather to use the resources such as data, knowledge, technology, or institutions in a complementary manner. Platforms are characterized as a combination of hardware and software including standards, interfaces, and rules making it possible for different ecosystem players to complement and interact in the ecosystem. Current ecosystems include several platforms that do not work without resource integration. The purpose of this study is to increase understanding what do we mean by resource complementarity in service ecosystems.

This study was done via an in-depth qualitative case study in which a health service ecosystem co-creating technological surgery innovation was used as a unit of analysis.

The authors’ findings suggest that key resource capabilities, to enable complementarity in service ecosystems, are motivation, knowledge, skills, data and complementary designed technology components.

The authors’ study increases theoretical understanding of what does one mean by construct of resource complementarity.

From a managerial perspective, it is shown that organizations need to develop adaptive capabilities to utilize internal and external competencies and resources and enable co-creative processes within the service ecosystem.

Very few empirical studies in the marketing literature have focused on multi-sided digital platforms and their resource complementarity in the data-driven healthcare ecosystem settings.

Mobility as a service (MaaS) is a new model of bundling personal transport options from multiple providers to provide frictionless service. The model integrates information and service to enable users to search, book and pay through a single digital platform. The aim of MaaS is to minimize individual car ownership and revolutionize personal mobility habits in favour of sustainable modes. Thus, it is important to understand consumers' readiness for MaaS. This study explains the factors that influence MaaS adoption.

A comprehensive review of the related literature has been conducted, leading to the development of a conceptual model for investigating the key factors that influence MaaS adoption. The model draws upon the digital platform, schema congruity and planned behaviour theories. The model is then tested using structural equation modelling and survey data collected from 331 respondents.

The findings indicate that MaaS information schema congruity, the digital platform's personalizability, customizability, functional integration, network integration and governance of data together with attitude towards MaaS and subjective norm concerning MaaS influence MaaS adoption. Furthermore, MaaS digital platform expectation and MaaS information schema congruity contribute to users' attitude towards MaaS use.

The paper highlights the design and informational attributes of MaaS platforms that influence their adoption and contributes an integrated research model that links digital platform characteristics, behavioural factors and information schema congruity. Future research can use the constructs and measures we developed in this study to build deeper understanding of what contributes to the success of digital platforms.

This study aims to explore whether digital platform capabilities (integration and reconstruction) affect technological innovation through knowledge bases in the dimensions of breadth and depth and the moderating role of organisational routines updating.

Hierarchical regression, mediation effect test macro and bootstrap were conducted to empirically analyse two waves of longitudinal survey data from 179 Chinese technology firms.

Results confirmed that knowledge bases (breadth and depth) mediated the effect of digital platform capabilities (integration and reconstruction) on technological innovation and that updating of organisational routines moderated the relationship between knowledge bases and technological innovation.

These findings offer guidance to firms that aim to achieve technological innovation and advantages, highlighting the importance of digital platform capabilities, knowledge bases and organisational routines updating.

Advancing from existing digital strategies and firm innovation literature, the authors provide a new perspective (knowledge bases) to respond to the information technology (IT) paradox and understand the role of digital platform capabilities in improving technological innovation.

This paper aims to present a collaborative mashup platform for dynamic integration of heterogeneous data sources. The platform encourages sharing and connects data publishers, integrators, developers and end users.

This approach is based on a visual programming paradigm and follows three fundamental principles: openness, connectedness and reusability. The platform is based on semantic Web technologies and the concept of linked widgets, i.e. semantic modules that allow users to access, integrate and visualize data in a creative and collaborative manner.

The platform can effectively tackle data integration challenges by allowing users to explore relevant data sources for different contexts, tackling the data heterogeneity problem and facilitating automatic data integration, easing data integration via simple operations and fostering reusability of data processing tasks.

This research has focused exclusively on conceptual and technical aspects so far; a comprehensive user study, extensive performance and scalability testing is left for future work.

A key contribution of this paper is the concept of distributed mashups. These ad hoc data integration applications allow users to perform data processing tasks in a collaborative and distributed manner simultaneously on multiple devices. This approach requires no server infrastructure to upload data, but rather allows each user to keep control over their data and expose only relevant subsets. Distributed mashups can run persistently in the background and are hence ideal for real-time data monitoring or data streaming use cases. Furthermore, we introduce automatic mashup composition as an innovative approach based on an explicit semantic widget model.