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A Capability Model for Learning Analytics Adoption

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.

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A Capability Model for Learning Analytics Adoption

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Seven business models for decision management

Research, advisory companies, consultants and system integrators all predict that a lot of money will be earned with decision management (business rules, algorithms and analytics). But how can you actually make money with decision management or in other words: Which business models are exactly available? In this article, we present seven business models for decision management.

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The added value of business models

An overview of innovations in a particular area, for example retail developments in the fashion sector (Van Vliet, 2014), and a subsequent discussion about the probability as to whether these innovations will realise a ‘breakthrough’, has to be supplemented with the question of what the added value is for the customer of such a new service or product. The added value for the customer must not only be clear as to its direct (instrumental or hedonic) incentives but it must also be tested on its merits from a business point of view. This requires a methodology. Working with business models is a method for describing the added value of products/services for customers in a systematic and structured manner. The fact that this is not always simple is evident from the discussions about retail developments, which do not excel in well-grounded business models. If there is talk about business models at all, it is more likely to concern strategic positioning in the market or value chain, or the discussion is about specifics like earning- and distribution-models (see Molenaar, 2011; Shopping 2020, 2014). Here we shall deal with two aspects of business models. First of all we shall look at the different perspectives in the use of business models, ultimately arriving at four distinctive perspectives or methods of use. Secondly, we shall outline the context within which business models operate. As a conclusion we shall distil a research framework from these discussions by presenting an integrated model as the basis for further research into new services and product.

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Analytical Formalism for Data Representation and Object Detection with 2D LiDAR

In mobile robotics, LASER scanners have a wide spectrum of indoor and outdoor applications, both in structured and unstructured environments, due to their accuracy and precision. Most works that use this sensor have their own data representation and their own case-specific modeling strategies, and no common formalism is adopted. To address this issue, this manuscript presents an analytical approach for the identification and localization of objects using 2D LiDARs. Our main contribution lies in formally defining LASER sensor measurements and their representation, the identification of objects, their main properties, and their location in a scene. We validate our proposal with experiments in generic semi-structured environments common in autonomous navigation, and we demonstrate its feasibility in multiple object detection and identification, strictly following its analytical representation. Finally, our proposal further encourages and facilitates the design, modeling, and implementation of other applications that use LASER scanners as a distance sensor.

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Shaping sustainable business models

Recent economic crises, environmental problems and social challenges have urged us to drastically change our consumption and production patterns and transform organisations to contribute to socio-technical transitions that positively impact these challenges. Therefore, sustainable development and the transition towards a circular economy are gaining increased attention from academics and are being widely adopted by national and local governments, companies and other organisations and institutions. Since the implementation of more sustainable solutions lags behind expectations and technological possibilities, scholars and practitioners are increasingly seeing sustainable business model innovation as the key pathway to show the value potential of new sustainable technology and stress the importance of integrating the interests of multiple stakeholders and their economic, environmental and social value goals in the business model’s development. However, there is limited research that elucidates which stakeholders are actively involved, how they interact and what the effect is on the collaborative business modelling process for sustainability. This thesis addresses this research gap by building on the notion of business models as boundary-spanning activity-systems and studies stakeholder interaction from the level of a focal firm, as well as from the level of cross-sector actors collaborating in innovation ecosystems. Through four independent studies, three empirical studies and a design science study, this thesis aims to provide a better understanding of how stakeholder interaction affects collaborative business modelling for sustainability.The first study (Chapter 2) took a process perspective on interaction with network ties from the perspective of a focal firm. Based on two case studies of SMEs successfully introducing sustainable technology in the market, value shaping was identified as the operative mechanism describing the relation between networking and business modelling, from ideation to growth of the business. A stage model with five successive forms of value shaping describes how, in each stage, interaction with network ties help firms to clarify the types of economic, environmental and social value that a sustainable technology can deliver and who possible beneficiaries are. In return, changes in the business model clarify what other network ties are needed, demonstrating how the boundary-spanning function of business models spurs firms to expand and strengthen the value network.The second study (Chapter 3) focused on the commercialisation stage, in which a cognitive change in the manager’s mind was found during the development of a sustainable business model. Based on three empirical cases of business model innovations for sustainability, the study explored how stakeholder interaction may trigger and support managerial cognitive change and hence business model innovation. The findings suggest that the influence of stakeholders on the manager’s understanding of the business runs via three interrelated shaping processes: market approach shaping, product and/or service offering shaping and credibility shaping. In these shaping processes, new or latent stakeholders are found to have a bigger impact than existing ones. A research agenda is presented to further unravel the role of stakeholders affecting managerial cognition around business model innovation for sustainability.The third study (Chapter 4) examined innovation ecosystems’ processes of developing a collaborative business model for sustainability. Based on a study of four sustainably innovative cross-sector collaborations, this chapter studied how innovation ecosystems resolve the tensions that emerge from the collaborating actors’ divergent goals and interests. This study finds that innovation ecosystems engage in a process of valuing value that helps the actors to manage the tensions and find a balance of environmental, social and economic value creation and capture that satisfies all involved actors. The findings reveal that valuing value occurs in two different patterns – collective orchestration and continuous search – that open up a research agenda that can shed further light on the conditions that need to be in place in order for an innovation ecosystem to develop effective sustainable business models. The final study (Chapter 5) used a design science approach, developing a tool for innovation ecosystems’ actors to manage the degree to which stakeholders are involved throughout the process of collaborative business modelling for sustainability. The resulting ‘degree of engagement diagram’ and accompanying stepwise approach makes it possible to identify stakeholders from six cross-sector stakeholder groups that represent economic, social and environmental aspects of sustainable value and visualise their roles. By discriminating between four concentric and permeable circles of engagement, the tool integrates different degrees of involvement of stakeholders and enables users of the DoE diagram to accommodate changes that may occur in the evolving business model and its context. The tool enables innovation ecosystems’ actors to keep the collaboration manageable during the development of a joint and viable sustainable business model. Overall, this thesis extends the understanding of the dynamics of collaborative business modelling for sustainability and the role of stakeholder interaction therein. The research makes three key contributions to the sustainable business model innovation literature. First, it extends the literature by exploring the interplay between stakeholder interaction and business modelling over time. It establishes that stakeholder interaction and business modelling have a reciprocal relationship and contributes with two frameworks – value shaping and valuing value – that explain this reciprocal relationship for firms and innovation ecosystems. Second, the thesis unravels the micro-processes and mechanisms that elucidate how stakeholder interaction actually influences the direction into which the sustainable business model develops. Third, this thesis enriches the scholarly understanding of stakeholder interaction by identifying the main contributors to business model innovation for sustainability, by differentiating between stakeholders and their roles and by providing a tool that accommodates this. The research contributes to practice by offering practitioners useful insights on how they can increase, improve and effectuate stakeholder interaction in order to develop viable business models for sustainability and hence contribute to the desired socio-technical transitions.

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The application of arbitration in transnational private regulation

This paper investigates the prospective application of arbitration by Transnational Private Regulation (TPR). It builds on the study of TPR developed by Fabrizio Cafaggi et al. TPR addresses the ever-increasing transfer of regulatory power from national to global levels, and from public to private regulators. TPR entails private regulatory co-operation be-yond the jurisdictional boundaries of States through voluntary standards. The regimes of TPR are built by a variety of actors, such as companies, NGOs, independent experts, and epistemic communities. Examples of TPR can be found in food safety, forestry management, trade, and derivatives, among other fields. More specifically, they concern private actors engaging in transnational coordination of standard setting such as the Forest Stewardship Council (FSC) that was developed to foster responsible management of the world’s forests. There are four main characteristics of TPR: legitimacy, quality, effectiveness, and enforcement. I will describe those four characteristics in brief here. First, the legitimacy of TPR is built around consent through voluntary entry, participation, and exit of regulated entities. Important to this contribution is that the legitimacy of TPR goes beyond its legal dimension, measured by purely legal standards. Hence, the legitimacy of TPR is largely determined by standards developed by social and economic institutions relevant to specific TPR regimes. The role of those institutions in standard settings is higher in private TPR regimes than private-public TPR regimes, where some forms of compliance are mandatory. Second, the quality of TPR corresponds to the ex ante and ex post evaluation cycle of regulatory processes. It is also linked with the transparency of TPR. Third, the effectiveness of TPR is measured according to the extent to which the objectives of TPR (or selected TPR regimes) are met. And finally, enforcement of TPRis understood as ‘ensuring compliance with commitments’. Enforcement of TPR can take place through courts, administrative agencies, and private dispute resolution—including the arbitration at the core of this contribution. Cafaggi’s study identified rather selective use of arbitration in TPR, but also recommended changes to make arbitration law more adaptable to TPR. Furthermore, the study recommended that more specialized dispute resolution institutions are created to exclusively serve TPR. Against this background, I shift the main focus of analysis from TPR to arbitration. Whereas Cafaggi argued that arbitration may be suitable for TPR as a means of private enforcement, in this paper I go even further, arguing that arbitration as a means of informal, out-of-court dispute resolution is well suited to strengthen the normativity of TPR. This is so because private arbitration actors (including, inter alia, arbitrators and arbitral institutions) are already equipped with the tools necessary to facilitate cross-border TPR, which is done through informal standards and procedures with origins in the communitarian values and reputational mechanisms used by different communities before the development of modern States. The roots of most private justice regimes—including arbitration—are informed by communitarian values such as collaboration, participation, and personal trust. Those values, together with other core characteristics of arbitration correspond to all core characteristics of TPR, making both systems comparable and complementary. The analytical framework incorporated in this paper follows the four core characteristics of TPR. Hence, the paper is organized into five sections. The first section contains the introduction. In the second section, I analyze the legitimacy of arbitration vis-à-vis the legitimacy of TPR. In the third section, I investigate the accountability of arbitration as a means of quality signaling vis-à-vis TPR. In the fourth section, I focus on the remedies available to arbitrators in a view of TPR’s effectiveness. Finally, in the fifth section, I analyze enforcement through arbitration and its impact on the exclusiveness versus complementarity of TPR regimes. Conclusions follow, including recommendations for future research. Part of topic "The blurring distinction between public and private in international dispute resolution"

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The application of arbitration in transnational private regulation

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Circular Business Models

This Whitepaper presents the essence of research into existing and emerging circular business models (CBMs). This results in the identification of seven basic types of CBM, divided into three groups that together form a classification. This Whitepaper consists of three parts. ? The first part discusses the background and explains the circular economy (CE), the connection with sustainability, business models and an overview of circular business models. ? In the second part, an overview is given of the developed classification of CBM, and each basic type is described based on its characteristics. This has resulted in seven knowledge maps. Finally, the last two, more future-oriented models are further explained and illustrated. ? The third part looks back briefly at the reliability of the classification made and then at the aspects of change management in working on and with a CBM.

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Advances in gas-to-liquid technology for environmentally friendly fuel synthesis

Problems of energy security, diversification of energy sources, and improvement of technologies (including alternatives) for obtaining motor fuels have become a priority of science and practice today. Many scientists devote their scientific research to the problems of obtaining effective brands of alternative (reformulated) motor fuels. Our scientific school also deals with the problems of the rational use of traditional and alternative motor fuels.This article focused on advances in motor fuel synthesis using natural, associated, or biogas. Different raw materials are used for GTL technology: biomass, natural and associated petroleum gases. Modern approaches to feed gas purification, development of Gas-to-Liquid-technology based on Fischer–Tropsch synthesis, and liquid hydrocarbon mixture reforming are considered.Biological gas is produced in the process of decomposition of waste (manure, straw, grain, sawdust waste), sludge, and organic household waste by cellulosic anaerobic organisms with the participation of methane fermentation bacteria. When 1 tonne of organic matter decomposes, 250 to 500–600 cubic meters of biogas is produced. Experts of the Bioenergy Association of Ukraine estimate the volume of its production at 7.8 billion cubic meters per year. This is 25% of the total consumption of natural gas in Ukraine. This is a significant raw material potential for obtaining liquid hydrocarbons for components of motor fuels.We believe that the potential for gas-to-liquid synthetic motor fuels is associated with shale and coalfield gases (e.g. mine methane), methane hydrate, and biogas from biomass and household waste gases.

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Advances in gas-to-liquid technology for environmentally friendly fuel synthesis

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Supporting Learning Analytics Adoption

Although learning analytics benefit learning, its uptake by higher educational institutions remains low. Adopting learning analytics is a complex undertaking, and higher educational institutions lack insight into how to build organizational capabilities to successfully adopt learning analytics at scale. This paper describes the ex-post evaluation of a capability model for learning analytics via a mixed-method approach. The model intends to help practitioners such as program managers, policymakers, and senior management by providing them a comprehensive overview of necessary capabilities and their operationalization. Qualitative data were collected during pluralistic walk-throughs with 26 participants at five educational institutions and a group discussion with seven learning analytics experts. Quantitative data about the model’s perceived usefulness and ease-of-use was collected via a survey (n = 23). The study’s outcomes show that the model helps practitioners to plan learning analytics adoption at their higher educational institutions. The study also shows the applicability of pluralistic walk-throughs as a method for ex-post evaluation of Design Science Research artefacts.

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A Capability Model for Learning Analytics Adoption