The COVID-19 pandemic has led to many firms reassessing how to deal with their communities. In this study, we focus on a coworking space and examine how the management staff and its coworking community reacted to the pandemic. The uniqueness of coworking spaces is that the community is both the paying customer and it is an integral part of the coworking value proposition. For this paper, a case study in Amsterdam was analyzed and the symbiotic relationship between the coworking space and one of its key resources (the community) was examined. We build on dynamic capabilities theory to identify the processes of how a firm and its community maneuver through the pandemic. We propose that in vibrant times, firms and communities should work in close alignment in order to sense, seize, and transform resources and opportunities.
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In order to become more innovative, corporations are increasingly turning to design-driven innovation capabilities. These capabilities are dynamic: they influence the way companies run their business and how companies create, capture and deliver value. Building design capabilities has proven difficult, given the tacit nature of design practice and the conflicting reasoning style of abduction that allows for the creative leap. However, if these enterprises don't improve, they are in danger of losing their ability to add value to the market. This may result in loss of market-share, which may lead to job destruction and the loss of valuable knowledge as communities of practice fall apart. This paper describes an iterative design process in which a tool was developed to determine which design-driven innovation capabilities a company is lacking. The tool started as a theoretical framework and was subsequently developed by prototyping with innovation managers from several large corporates. This paper contributes a new 'dynamic capabilities view' on design and innovation and a practical approach to implementing design in large firms. LinkedIn: https://www.linkedin.com/in/christine-de-lille-8039372/
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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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In our highly digitalized society, cybercrime has become a common crime. However, because research into cybercriminals is in its infancy, our knowledge about cybercriminals is still limited. One of the main considerations is whether cybercriminals have higher intellectual capabilities than traditional criminals or even the general population. Although criminological studies clearly show that traditional criminals have lower intellectual capabilities, little is known about the relationship between cybercrime and intelligence. The current study adds to the literature by exploring the relationship between CITO-test scores and cybercrime in the Netherlands. The CITO final test is a standardized test for primary school students - usually taken at the age of 11 or 12 - and highly correlated with IQ-scores. Data from Statistics Netherlands were used to compare CITO-test scores of 143 apprehended cybercriminals with those of 143 apprehended traditional criminals and 143 non-criminals, matched on age, sex, and country of birth. Ordinary Least Squares regression analyses were used to compare CITO test scores between cybercriminals, traditional criminals, and non-criminals. Additionally, a discordant sibling design was used to control for unmeasured confounding by family factors. Findings reveal that cybercriminals have significantly higher CITO test scores compared to traditional criminals and significantly lower CITO test scores compared to non-criminals.
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In today’s intellectual capital literature, we see a shift from identifying intangibles towards understanding the dynamics of value creation. As it is not clear what “dynamic” stands for, the aim of this explorative and conceptual paper is to contribute to a better understanding of the dynamic dimension of IC. Based on a review of the early IC literature, the dynamic dimension (or dynamics) of intellectual capital seems to refer to the logic that value creation is the product of interaction between different types of (intangible) resources. As the idea of value creation through combination of knowledge resources is closely related to the New Growth Theory (Romer, 1990, 1994), this paper explores the New Growth Theory and its implications for the dynamic dimension of intellectual capital. Based on the exploration of the New Growth Theory, a conceptual model is presented in which the elements that constitute the dynamic dimension of intellectual capital are integrated. These elements are ideas, things, the process of knowledge creation, the process of continuous innovation, and institutions. The main conclusion of this paper is that the concept of knowledge is more closely related to the dynamic dimension of IC, than the concept of intellectual capital. Therefore, further research would probably benefit from approaching this topic from a knowledge management point of view. It is suggested that further research should focus on exploring the metaphors that contribute to a better understanding of the dynamics of IC, on the contribution that ideas can make to increase the effectiveness of knowledge management, and finally on the institutional arrangements that support the process of knowledge creation and innovation.
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The inefficiency of maintaining static and long-lasting safety zones in environments where actual risks are limited is likely to increase in the coming decades, as autonomous systems become more common and human workers fewer in numbers. Nevertheless, an uncompromising approach to safety remains paramount, requiring the introduction of novel methods that are simultaneously more flexible and capable of delivering the same level of protection against potentially hazardous situations. We present such a method to create dynamic safety zones, the boundaries of which can be redrawn in real-time, taking into account explicit positioning data when available and using conservative extrapolation from last known location when information is missing or unreliable. Simulation and statistical methods were used to investigate performance gains compared to static safety zones. The use of a more advanced probabilistic framework to further improve flexibility is also discussed, although its implementation would not offer the same level of protection and is currently not recommended.
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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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Considerable attention has been paid to the reciprocal relationship between technological innovation and internationalization. However, despite research efforts in identifying if and how these two strategic processes influence each other, the literature is inundated with inconsistencies, contradictions and heterogeneous in terms of theoretical approaches applied. This paper reviews and critically examines the empirical literature on the relationship between technological innovation and internationalization. Building upon the dynamic capability view, we distinguish between sensing, seizing and reconfiguring aspects of technological innovation and internationalization and use it as a framework to organize the empirical literature. A systematic analysis of seventy-two journal articles published in leading journals over the last 25 years reveals that the majority of the empirical studies largely focus on seizing and not on sensing and reconfiguring. We present a set of propositions that outline 1) how technological innovation and internationalization are related processes in firms 2) how this relationship is mediated by co-ideation and co-innovation 3) how entrepreneurial orientation leads the sensing and seizing of opportunities and reconfigures the resources base. Our discussion and model help to delineate key differences in the relationship between technological innovation and internationalization that firms have.
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The application of DC grids is gaining more attention in office applications. Especially since powering an office desk would not require a high power connection to the main AC grid but could be made sustainable using solar power and battery storage. This would result in fewer converters and further advanced grid utilization. In this paper, a sustainable desk power application is described that can be used for powering typical office appliances such as computers, lighting, and telephones. The desk will be powered by a solar panel and has a battery for energy storage. The applied DC grid includes droop control for power management and can either operate stand-alone or connected to other DC-desks to create a meshed-grid system. A dynamic DC nano-grid is made using multiple self-developed half-bridge circuit boards controlled by microcontrollers. This grid is monitored and controlled using a lightweight network protocol, allowing for online integration. Droop control is used to create dynamic power management, allowing automated control for power consumption and production. Digital control is used to regulate the power flow, and drive other applications, including batteries and solar panels. The practical demonstrative setup is a small-sized desktop with applications built into it, such as a lamp, wireless charging pad, and laptop charge point for devices up to 45W. User control is added in the form of an interactive remote wireless touch panel and power consumption is monitored and stored in the cloud. The paper includes a description of technical implementation as well as power consumption measurements.
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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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