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The Engagement of Complementors and the Role of Platform Boundary Resources in e-Commerce Platform Ecosystems
The success of digital platforms can be attributed to the engagement of autonomous complementors as exemplified by e-commerce Content Management System (CMS) platforms such as WordPress and Shopify. Platform owners provide Platform Boundary Resources (PBRs) to stimulate and control complementor engagement. Despite the increasing scholarly interest in digital platform ecosystems, their exact role in facilitating and channeling complementor engagement remains unclear. Therefore, we conducted an embedded case study on CMS platform ecosystems, comprising a total of 24 interviews with platform owners and complementors. We inductively derive five types of complementor engagement and their respective manifestations and two overarching engagement goals of complementors. Moreover, we determine the different types of PBRs utilized, including their critical effects, and distinguish between uniform and individual PBRs reflecting their respective generalizability and scalability. We discuss the findings by introducing the concepts of complementor resourcing and complementor securing and shed light on the standardization-individualization tension of PBRs faced by platform owners.
Journal Article
Integrated Frameworks for Effective Online Reputation Management: A Comprehensive Review of Theoretical Models and Interconnections
Objective: Exploring interconnections among models and providing valuable insights for navigating ORM complexities in the digital landscape. Theoretical Framework: This review paper explores key theoretical frameworks pertinent to Online Reputation Management (ORM) in the digital era, including Content Marketing Theory (CMT), Online Content Management (OCM), Online Reputation Management Theory (ORMT), the PESO Model, and the Online Reputation Model. These frameworks provide diverse insights into ORM, covering content creation, media channel integration, and the impact of online reviews and user-generated content. Methodology: The research methodology entails a systematic literature review of scholarly articles, academic journals, books, and credible online sources across disciplines such as digital marketing and reputation management. Data collection includes recent scholarly publications and seminal works, synthesized to develop insights and recommendations for effective Online Reputation Management (ORM) practices. Results and Conclusion: The review emphasizes the interconnectedness of theoretical models in shaping effective ORM strategies. It stresses understanding and leveraging elements like content creation, media channels, and reputation monitoring. Adopting a holistic approach integrating insights from diverse frameworks helps organizations navigate the digital landscape and maintain a positive online reputation. Research Implications: The review provides actionable insights for improving ORM, offering a roadmap for navigating the digital landscape effectively and enhancing online reputation proactively. Originality/Value of this Review Paper: The paper offers original insights by analyzing ORM frameworks, providing actionable recommendations for effective reputation management, and advancing research in the digital age.
Journal Article
A collaborative machine tool maintenance planning system based on content management technologies
From product maintenance and service point of view, high-value sophisticated computer numerical control (CNC) machine tools in modern manufacturing factories play important roles: they are manufacturing equipment, and on the other hand, they are also products supplied by equipment manufacturers. There is a trend that manufacturers are extending their responsibilities to the products use phase to meet customers’ requirements for lifetime support and service. To ensure the effective performance and efficient maintenance of high-value machine tools, information and knowledge from their lifecycle should be collected and reused. However, in the research area of product service systems and related computerised maintenance systems, there is a lack of research work on how to integrate knowledge from different stakeholders into the maintenance and service planning process, which is important for modern digital manufacturing systems to reduce machine tools’ downtime and improve their working performance. This project proposed a collaborative maintenance planning framework to connect different stakeholders and integrate their knowledge into the maintenance and service process. The potential of advanced content management systems (CMSs), which are widely used non-engineering sectors such as finance, business, publishing and government organisations, has been explored and tested for applications in the manufacturing engineering domain. The research realised that CMSs have several advantages compared with traditional engineering information systems, especially in managing dynamic and unstructured knowledge. A prototype maintenance and service planning system has been developed and evaluated using a real CNC machine tool.
Journal Article
Research and Application of Micro Frontends
The content management system is an indispensable part of enterprise information construction. With the rise of the concept of front and rear separation and the maturity of related technologies, it is a better choice to create a multi-functional front-end web application in complex large-sized or medium-sized projects, which sits on top of a microservices-based architecture. As the business grows, the single front end becomes more and more bloated, resulting in a single page application that is not well scaled and deployed, and difficult to maintain. Based on the analysis of above problems, combined with the corresponding front-end technology, this paper applies the microservice concept to the development of front-end and proposes a design scheme of content management system based on micro frontends. Besides, the key issues in practice process, such as micro frontends design concept and implementation methods are described in detail.
Journal Article
Evaluating the individual and organizational impact of enterprise content management systems
Purpose
The purpose of this paper is to gain a deeper comprehension of the nature of enterprise content management systems (ECMS) success by exploring factors that are important in the context of ECMS success, i.e. how these factors can be measured, and how they are interrelated.
Design/methodology/approach
The paper develops a success model specific to the enterprise content management (ECM) domain that builds on the DeLone and McLean information systems (IS) success model. The model is empirically tested by means of structural equation modeling applying the partial least squares approach and using data collected in an online survey.
Findings
The results show that ECMS positively affects organizational content management in terms of efficiency, collaboration and compliance. It also provides evidence that the use of the ECMS alone does not provide impact to the organization, but needs to be moderated either by the impact of the ECMS on the user or the users’ satisfaction of the ECMS.
Practical implications
For practitioners, the model identifies the factors that influence the success of ECMS. Practitioners can monitor these factors as performance indicators to improve users’ satisfaction with the ECMS and, thus, the success of their ECMS. Furthermore, the results can support practitioners in understanding the multiple facets of ECMS success to improve how they plan and prepare for ECM investments.
Originality/value
The study’s results contribute to theory by extending and empirically testing the D&M IS success model in a new domain and system context. The presented research is the first to empirically validate a comprehensive ECMS success model that extends knowledge related to ECM by examining the relationship between the quality dimensions and the success measures.
Journal Article
A Holistic Approach for Enhancing Museum Performance and Visitor Experience
Managing modern museum content and visitor data analytics to achieve higher levels of visitor experience and overall museum performance is a complex and multidimensional issue involving several scientific aspects, such as exhibits’ metadata management, visitor movement tracking and modelling, location/context-aware content provision, etc. In related prior research, most of the efforts have focused individually on some of these aspects and do not provide holistic approaches enhancing both museum performance and visitor experience. This paper proposes an integrated conceptualisation for improving these two aspects, involving four technological components. First, the adoption and parameterisation of four ontologies for the digital documentation and presentation of exhibits and their conservation methods, spatial management, and evaluation. Second, a tool for capturing visitor movement in near real-time, both anonymously (default) and eponymously (upon visitor consent). Third, a mobile application delivers personalised content to eponymous visitors based on static (e.g., demographic) and dynamic (e.g., visitor movement) data. Lastly, a platform assists museum administrators in managing visitor statistics and evaluating exhibits, collections, and routes based on visitors’ behaviour and interactions. Preliminary results from a pilot implementation of this holistic approach in a multi-space high-traffic museum (MELTOPENLAB project) indicate that a cost-efficient, fully functional solution is feasible, and achieving an optimal trade-off between technical performance and cost efficiency is possible for museum administrators seeking unfragmented approaches that add value to their cultural heritage organisations.
Journal Article
Software Tools to Facilitate Systematic Review Used for Cancer Hazard Identification
Objective and systematic methods to search, review, and synthesize published studies are a fundamental aspect of carcinogen hazard classification. Systematic review is a historical strength of the International Agency for Research on Cancer (IARC) Monographs Program and the United States National Toxicology Program (NTP) Office of the Report on Carcinogens (RoC). Both organizations are tasked with evaluating peer-reviewed, published evidence to determine whether specific substances, exposure scenarios, or mixtures pose a cancer hazard to humans. This evidence synthesis is based on objective, transparent, published methods that call for extracting and interpreting data in a systematic manner from multiple domains, including
) human exposure,
) epidemiological evidence,
) evidence from experimental animals, and
) mechanistic evidence. The process involves multiple collaborators and requires an extensive literature search, review, and synthesis of the evidence. Several online tools have been implemented to facilitate these collaborative systematic review processes. Specifically, Health Assessment Workplace Collaborative (HAWC) and Table Builder are custom solutions designed to record and share the results of the systematic literature search, data extraction, and analyses. In addition, a content management system for web-based project management and document submission has been adopted to enable access to submitted drafts simultaneously by multiple co-authors and to facilitate their peer review and revision. These advancements in cancer hazard classification have applicability in multiple systematic review efforts. https://doi.org/10.1289/EHP4224.
Journal Article