Despite the promises of learning analytics and the existence of several learning analytics implementation frameworks, the large-scale adoption of learning analytics within higher educational institutions remains low. Extant frameworks either focus on a specific element of learning analytics implementation, for example, policy or privacy, or lack operationalization of the organizational capabilities necessary for successful deployment. Therefore, this literature review addresses the research question “What capabilities for the successful adoption of learning analytics can be identified in existing literature on big data analytics, business analytics, and learning analytics?” Our research is grounded in resource-based view theory and we extend the scope beyond the field of learning analytics and include capability frameworks for the more mature research fields of big data analytics and business analytics. This paper’s contribution is twofold: 1) it provides a literature review on known capabilities for big data analytics, business analytics, and learning analytics and 2) it introduces a capability model to support the implementation and uptake of learning analytics. During our study, we identified and analyzed 15 key studies. By synthesizing the results, we found 34 organizational capabilities important to the adoption of analytical activities within an institution and provide 461 ways to operationalize these capabilities. Five categories of capabilities can be distinguished – Data, Management, People, Technology, and Privacy & Ethics. Capabilities presently absent from existing learning analytics frameworks concern sourcing and integration, market, knowledge, training, automation, and connectivity. Based on the results of the review, we present the Learning Analytics Capability Model: a model that provides senior management and policymakers with concrete operationalizations to build the necessary capabilities for successful learning analytics adoption.
MULTIFILE
Addition to https://www.online-journals.org/index.php/i-jai/article/view/12793
Prior work has focused on understanding coopetition tensions and response in bilateral coopetitions. Even though multilateral coopetitions are prevalent in practice they have not been fully studied in terms of coopetition tensions and their management. This omission is problematic. Multilateral coopetitions can complement what we know in prior work because they are inherently complex with multiple actors and greater coordination needs. Hence, we asked: how are tensions experienced and managed in multilateral coopetitions? We answer this question by drawing on 31 interviews and archival data from seven multilateral coopetitions. We found three types of multilateral coopetitions comprising member companies and independent central coordinating organization. We show that actors within each coopetition type experience tensions differently and have varied capabilities to manage these tensions. Our contribution is twofold. First, we complement insights from prior work by opening the black box of coopetition tensions to show that not all coopetition tensions are salient for actors within and across coopetitions. Second, unlike prior work that locates capabilities within focal firms, we show that coopetition capabilities are dispersed across actors, which has implications for value creation and capture.
Collaborative networks for sustainability are emerging rapidly to address urgent societal challenges. By bringing together organizations with different knowledge bases, resources and capabilities, collaborative networks enhance information exchange, knowledge sharing and learning opportunities to address these complex problems that cannot be solved by organizations individually. Nowhere is this more apparent than in the apparel sector, where examples of collaborative networks for sustainability are plenty, for example Sustainable Apparel Coalition, Zero Discharge Hazardous Chemicals, and the Fair Wear Foundation. Companies like C&A and H&M but also smaller players join these networks to take their social responsibility. Collaborative networks are unlike traditional forms of organizations; they are loosely structured collectives of different, often competing organizations, with dynamic membership and usually lack legal status. However, they do not emerge or organize on their own; they need network orchestrators who manage the network in terms of activities and participants. But network orchestrators face many challenges. They have to balance the interests of diverse companies and deal with tensions that often arise between them, like sharing their innovative knowledge. Orchestrators also have to “sell” the value of the network to potential new participants, who make decisions about which networks to join based on the benefits they expect to get from participating. Network orchestrators often do not know the best way to maintain engagement, commitment and enthusiasm or how to ensure knowledge and resource sharing, especially when competitors are involved. Furthermore, collaborative networks receive funding from grants or subsidies, creating financial uncertainty about its continuity. Raising financing from the private sector is difficult and network orchestrators compete more and more for resources. When networks dissolve or dysfunction (due to a lack of value creation and capture for participants, a lack of financing or a non-functioning business model), the collective value that has been created and accrued over time may be lost. This is problematic given that industrial transformations towards sustainability take many years and durable organizational forms are required to ensure ongoing support for this change. Network orchestration is a new profession. There are no guidelines, handbooks or good practices for how to perform this role, nor is there professional education or a professional association that represents network orchestrators. This is urgently needed as network orchestrators struggle with their role in governing networks so that they create and capture value for participants and ultimately ensure better network performance and survival. This project aims to foster the professionalization of the network orchestrator role by: (a) generating knowledge, developing and testing collaborative network governance models, facilitation tools and collaborative business modeling tools to enable network orchestrators to improve the performance of collaborative networks in terms of collective value creation (network level) and private value capture (network participant level) (b) organizing platform activities for network orchestrators to exchange ideas, best practices and learn from each other, thereby facilitating the formation of a professional identity, standards and community of network orchestrators.
The demand for mobile agents in industrial environments to perform various tasks is growing tremendously in recent years. However, changing environments, security considerations and robustness against failure are major persistent challenges autonomous agents have to face when operating alongside other mobile agents. Currently, such problems remain largely unsolved. Collaborative multi-platform Cyber- Physical-Systems (CPSs) in which different agents flexibly contribute with their relative equipment and capabilities forming a symbiotic network solving multiple objectives simultaneously are highly desirable. Our proposed SMART-AGENTS platform will enable flexibility and modularity providing multi-objective solutions, demonstrated in two industrial domains: logistics (cycle-counting in warehouses) and agriculture (pest and disease identification in greenhouses). Aerial vehicles are limited in their computational power due to weight limitations but offer large mobility to provide access to otherwise unreachable places and an “eagle eye” to inform about terrain, obstacles by taking pictures and videos. Specialized autonomous agents carrying optical sensors will enable disease classification and product recognition improving green- and warehouse productivity. Newly developed micro-electromechanical systems (MEMS) sensor arrays will create 3D flow-based images of surroundings even in dark and hazy conditions contributing to the multi-sensor system, including cameras, wireless signatures and magnetic field information shared among the symbiotic fleet. Integration of mobile systems, such as smart phones, which are not explicitly controlled, will provide valuable information about human as well as equipment movement in the environment by generating data from relative positioning sensors, such as wireless and magnetic signatures. Newly developed algorithms will enable robust autonomous navigation and control of the fleet in dynamic environments incorporating the multi-sensor data generated by the variety of mobile actors. The proposed SMART-AGENTS platform will use real-time 5G communication and edge computing providing new organizational structures to cope with scalability and integration of multiple devices/agents. It will enable a symbiosis of the complementary CPSs using a combination of equipment yielding efficiency and versatility of operation.
The textiles and apparel industry faces increasing regulatory pressure to reduce its negative environmental and social impact. A widely discussed strategy is to extend the active lifecycle of garments through durable, better quality clothing. Durability, however, is an ambiguous concept and a more complex understanding of durability is emerging that goes beyond material strength to notions of emotional, social and functional durability that live in consumers’ mindsets. Our understanding of durability and how it impacts product design, reuse, repair and recycling is limited and businesses find it difficult to incorporate durability into more sustainable and circular business models, particularly where there is also an element of degrowth or slow growth. Additionally, digital technologies, particularly for traceability and product information, are needed and require new organizational capabilities and change. Our project proposes to explore the concept of durability in the apparel and textiles industry, focusing on how various industry actors (e.g. fashion brands, designers, suppliers, consumers) define durability and how they incorporate it into commercially viable circular business models. Our proposal is timely in that local, national and EU research agendas are stimulating sustainable and circular transformation. Nationally, we address questions in the Nationale Wetenschaps Agenda (NWA-ORC), e.g. the call on the theme Ab-initio circular materials design that emphasizes an interdisciplinarity approach for circular redesign and includes aspects of socio-economic relevance, raw material innovations and digital tooling. On the EU level, policies, directives and regulations, so called New Industrial Strategies, are aimed at helping industry towards green and digital transformation. Our proposal is pertinent to the EU Strategy for Sustainable and Circular Textiles and the Transition Pathway for the Textiles Ecosystem. Calls in the near future offer opportunities for the consortium to access funding for continued research and industry collaboration.
