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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Digitalization capabilities allow organizations to improve their supply chain performance and resilience. In organizations comprised of multiple subsidiary units, digitalization capabilities need to be transferred from one unit to another, a process that has been described as arduous. Using an embedded case design, the present study examines the transfer of digitalization capabilities between organizational units. The study findings highlight the importance of alignment between headquarters, subsidiary units, but also other stakeholders in providing expertise about the problem as experienced by the subsidiary and the solution. Ambiguity about causal factors and unproveness of the solution are both inhibiting factors.
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The complexity of Information Technology (IT) is increasing; so are customer expectations. Consequently it is not easy for especially small and medium enterprises (SMEs) to keep track of all IT-developments, let alone leverage them in business operations with the aim to satisfy increasingly demanding customers. This also holds for the health care sector. This research is focussed on first line health care, and deals with the following research question; ‘which IT capabilities do SMEs within the first line health care sector need to have at their disposal in order to reach Business/IT-Alignment (BITA) maturity?’ Using the best practices ITIL, ASL and BiSL (cf. Bon, et al. 2007), IT capabilities are formulated. Based on the theory of Luftman (2000) business/IT-alignment and maturity is measured. Quantitative research of 123 first line health care SMEs in the Netherlands, confirms a moderate to strong correlation between the IT capability constructs ‘Organisation’, ‘Processes’, ‘Knowledge’ and ‘People’ on the one hand, and BITA maturity on the other. The results indicate that SMEs within the first line health care sector should invest in IT capabilities related to the enterprise's ‘Organisation’ and ‘Processes’ to strive for increased business and IT maturity.
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Addition to https://www.online-journals.org/index.php/i-jai/article/view/12793
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Educational institutions in higher education encounter different thresholds when scaling up to institution-wide learning analytics. This doctoral research focuses on designing a model of capabilities that institutions need to develop in order to remove these barriers and thus maximise the benefits of learning analytics.
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This paper presents four research projects on organizational innovation in the Netherlands. These projects are still in a design and theoretical investigation stage, but the authors find it useful to share their findings and insights with the research community in order to inspire them with their ideas and research agenda. In the paper four constructs are explored that focus on the human factor in organizations and that may have a positive influence on organizational innovation. Shared leadership: It is often thought that, for innovation, only one brilliant mind with a break-through idea in a single flash of enlightenment is needed. Recent research, however, shows that most innovations are the result of team-flow and sharing and alternating leadership tasks. Social Capital: through leadership and decision making, by influencing trust, respect and commitment, the organizations social capital and thus its innovative power is increased. External consultancy: deployment of external consultants will add to knowledge and skills necessary for innovation. IT and workflow management: if handled correctly, the human factor can add substantial quality to the design and use of IT in organizations. The paper shows that the way these constructs are managed is crucial in influencing and motivating members of an organization to attribute to innovation and make use of the facilities that are offered to them.
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Although much research has been done into the importance of IT Capabilities (ITC), Digital Leadership (DL) and Digital Transformation (DT) with regard to organizations’ firm performance and ability to thrive in the current digital market, there is little research on qualifying which specific ITC and DL competences affect the success of an organization's DT and ultimately impact their ability to adopt newly emerging technologies. This research aims to address the influence of DL and ITC on DT as well as which specific DL competences and ITC might ultimately affect an organization’s ability to successfully adopt newly emerging digital technologies. Quantitative data collected through a survey was used for this analysis. It was found that Architecture Design (DLA5) has the strongest positive affect on DT.
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Change has become continuous, and innovation is a primary approach for hospitality, i.e., hotel companies, to become or remain economically viable and sustainable. An increasing number of management researchers are paying more attention to workplace rather than technological innovation. This study investigates workplace innovation in the Dutch hotel industry, in three- and four-star hotels in the Netherlands, by comparing them to other industries. Two samples were questioned using the Workplace Innovation survey created by the Dutch Network of Social Innovation (NSI). The first was conducted in the hospitality industry, and these data were compared with data collected in a sample of other industries. Results suggest that greater strategic orientation on workplace innovation and talent development has a positive influence on four factors of organizational performance. Greater internal rates of change, the ability to self-organize, and investment in knowledge also had positive influences on three of the factors—growth in revenue, sustainability, and absenteeism. Results also suggest that the hospitality industry has lower workplace innovation than other industries. However, no recent research has assessed to what degree the hospitality industry fosters workplace innovation, especially in the Netherlands. Next to that, only few studies have examined management in the Dutch hotel industry, how workplace innovation is used there, and whether it improves practices.
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A public sector that adequately makes use of information technology can provide improved government services that not only stimulates business development it also intensifies citizen participation and economic growth. However, the effectiveness of IT and its governance at both national as well as on municipality level leaves much to be desired. It is often stated that this is due to a lack of digital skills needed to manage the IT function and alignment with business. Therefore, the aim of this study is to determine the effect that digital leadership competences and IT capabilities have on digital transformation readiness within Dutch municipalities. Based on an analyses of survey data from 178 respondents we recommend municipalities to implement a range of activities that all are related to realize the ability to constantly apply strategic thinking and organizational leadership to exploit the capability of Information Technology to improve the business.
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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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