Christof Weinhardt

Karlsruhe Institute of Technology | KIT · Institute of Information Systems and Marketing

This research examines how incumbent firms decide on the degree of involvement of technology players in their digital strategies, by integrating insights from digital innovation and digital platform research. We conducted an embedded case study on the adoption of Google’s Android Automotive OS and Google Automotive Services by the automotive indust...

In the digitized world, data literacy becomes a skillset that enables participation in transforming societies and job markets. This motivates the exploration of how creative teaching concepts might look like in order to form those relevant competencies. Citizen science, as a collaborative approach to scientific research, engages citizens in almost...

In modern power systems, predicting the time when peak loads will occur is crucial for improving efficiency and minimising the possibility of network sections becoming overloaded. However, most works in the load forecasting field are not focusing on a dedicated peak time forecast and are not dealing with load data privacy. At the same time, develop...

The creation of synthetic heat pump load profiles is essential for energy system modeling and simulations. This paper proposes a methodology to create synthetic heat pump load profiles based on the k-means algorithm and a data set from water-to-water heat pumps from Hamelin, Germany. The quality of the generated load profiles is shown according to...

Decentralization in Web3 projects is a polarizing topic, with proponents and critics presenting divergent views on blockchain governance. To navigate these tensions, this study employs an exploratory design science research approach. It utilizes a multiple-case study methodology to develop a framework for tokenized decision making and analyze ventu...

Digital transformation's scope evolves from being limited to the organizational level to inter-organizational collaboration in supply chain networks and business ecosystems. Blockchain-enabled marketplaces have the potential to transform business networks by eliminating intermediaries. To investigate the interface design and visualization of blockc...

Today, energy system models are becoming increasingly powerful and detailed regarding techno-economic parameters. However, current models rarely include social and political factors, although these factors constitute important determinants for the design of energy systems. In Task Area 2 of the nfdi4energy research project, we therefore explore soc...

News recommendation plays a critical role in shaping the public's worldviews through the way in which it filters and disseminates information about different topics. Given the crucial impact that media plays in opinion formation, especially for sensitive topics, understanding the effects of personalized recommendation beyond accuracy has become ess...

The European energy crisis and the global climate crisis call for a strong reduction of fossil fuel usage in the residential heating sector. Given the rising role of energy communities, we address this challenge by optimizing the design and operation of different energy community systems with a linear program and a genetic algorithm for rolling hor...

Flow, the holistic experience of intrinsic motivation and effortless attention, is positively associated with job performance, work engagement, and well-being. As many individuals struggle to enter and maintain flow states, interventions that foster flow at work represent valuable catalysts for organizational and individual improvement. Since the l...

Advocates consider NFTs a potentially disruptive blockchain-enabled innovation. In light of surging popularity and low theoretical insights, we study NFTs from a lifecycle-driven perspective. We develop a taxonomy that adheres to a habitual method and draws on a five-step process of analyzing literature and real-world projects. Our taxonomy contrib...

The upswing of projects, conducting citizen science (CS) by means of ICT has resulted in the development of numerous digital participation platforms. Recently platformization as a trend away from individual project platforms towards the domination of larger platforms enabling the support of generic citizen science initiatives could be observed. Thr...

We create a simulated financial market and examine the effect of different levels of active and passive investment on fundamental market efficiency. In our simulated market, active, passive, and random investors interact with each other through issuing orders. Active and passive investors select their portfolio weights by optimizing Markowitz-based...

In this study, we investigate the profitability of a battery energy storage system that is solely used for day-ahead trading for the Germany/Luxembourg electricity market from January 2020 to August 2022 by comparing amortization periods with battery lifetime. We are regarding price uncertainty by implementing an XGBoost day-ahead forecast and batt...

In countries such as Germany, where municipalities have planning sovereignty, problems of urban sprawl often arise. As the dynamics of land development have not substantially subsided over the last years, the national government decided to test the instrument of 'Tradable Planning Permits' (TPP) in a nationwide field experiment with 87 municipaliti...

The Self-Sovereign Identity (SSI) paradigm aims to transition online identity silos exhibiting privacy issues to user-controlled sharing mechanisms. While various governments back and promote its development, business models often play a subordinate role in these efforts. Building on academic literature and practical projects, our study addresses t...

Blockchain-enabled marketplaces offer considerable potential for cross-company networks. The area of additive manufacturing appears particularly promising. However, the practical impact of business-to-business marketplaces in today's organizations are still scarce, and academic literature contains limited design guidelines. Synthesizing knowledge f...

Disinformation campaigns have become a major threat to democracy and social cohesion. Phenomena like conspiracy theories promote political polarization; they can influence elections and lead people to (self-)damaging or even terrorist behavior. Since social media users and even larger platform operators are currently unready to precisely detect dis...

Facing rapidly growing numbers of scientific publications, attempts to structure and interconnect scientific articles are becoming increasingly relevant. Various approaches to scientific article mapping are discussed in academic literature. However, these are mainly developed upon citation-based similarity measures. We propose an extension to these...

To accelerate the development of flow-adaptive IT in NeuroIS research, the present work aims to improve the automatic detection of flow in knowledge work-related situations by observing flow emergence across three controlled tasks. In a pretest, we manipulated the type and difficulty of task and recorded subjective (self-reports) as well as objecti...

Text entry in Augmented and Virtual Reality applications remains a major challenge for a comprehensive and ubiquitous usability of this technology. Therefore, researchers have proposed several solutions for text entry in Augmented Reality. Hands-free gaze typing is a popular approach to ensure mobility and both fast and accurate typing. However, pr...

Industrial peak shaving is a regularly discussed application of battery storage. We introduce the notion of risk attitude in the context of joint industrial peak shaving and frequency containment reserve provision with battery storage. To this end, we combine a probabilistic quantile forecast with a rolling-horizon battery control mechanism. Probab...

Traditionally, NeuroIS studies are performed in highly controlled laboratory environments. However, due the proliferation of mobile sensor equipment, it is nowadays also possible to also run experiments in less controlled environments, e.g., in home settings. Running NeuroIS experiments in these settings allows researchers to pursue novel research...

We employ and analyze various machine learning models for daily cryptocurrency market prediction and trading. We train the models to predict binary relative daily market movements of the 100 largest cryptocurrencies. Our results show that all employed models make statistically viable predictions, whereby the average accuracy values calculated on al...

The advent of the Internet of Things (IoT) forces incumbent firms to reshape their organizational structures toward platform ecosystems. However, prior research lacks concrete insights about how incumbent firms can foster value co-creation to become ecosystem orchestrators. In particular, it only sheds little light on the complex challenges incumbe...

The connected car has recently evolved from a theoretical concept to reality. Especially in professionally managed fleets, car connectivity promises additional benefits in terms of costs, environment, and maintenance. However, many fleet managers are unaware of using connected car data and still associate telematics with retrofitting each vehicle....

Accurate day-ahead load forecasting is an important task in smart energy communities, as it enables improved energy management and operation of flexibilities. Smart meter data from individual households within the communities can be used to improve such forecasts. In this study, we introduce a novel hybrid bi-directional LSTM-XGBoost model for ener...

The success of incentives for investments in sustainable residential energy technologies depends on individual households actively participating in the energy transition by investing in electrification and by becoming prosumers. This willingness is influenced by the return on investments in electrification and preferences towards environmental sust...

Experts consider tokenization a potentially disruptive blockchain-based innovation. Cryptographic tokens can represent ownership of tangible and intangible assets in the digital space, serve as a store of value and proof of ownership, and enable investments in historically illiquid assets. While there are promising use cases for these new technolog...

Disinformation campaigns have become a major threat to democracy and social cohesion. Phenomena like conspiracy theories promote political polarization; they can influence elections and lead people to (self-)damaging or even terrorist behavior. Since social media users and even larger platform operators are currently unready to clearly identify dis...

To reduce climate change, considerable behavioral changes are required from private households, who often have a low energy literacy and are therefore unaware of the necessary behavioral change.We introduce a Design Science Research project with the aim to increase energy literacy. To this end, we contribute a theory-grounded design theory for a Sm...

In January 2001, California experienced rolling blackouts in their energy systems and an average price of electricity of $250 per MWh. This price was nearly ten times the average price of the previous January in the year 2000 (Woo et al. 2003). What had happened? California had liberalized its electricity market with a zonal setup and with it, had...

The building sector, and especially residential households and office buildings, account for a large share of global emissions. Meanwhile, energy literacy is extremely low amongst residents and citizens in general, leading to insufficient evaluations of energy efficiency measures and technology equipment for buildings. To address this issue, we dev...

In der heutigen Zeit stehen produzierende Unternehmen aufgrund der Unsicherheit und Komplexität von Umwelteinflüssen sowie des wachsenden Wettbewerbsdrucks vielen Her-ausforderungen gegenüber. Die Pandemie hat uns deutlich veranschaulicht, wie volatil und fragil unsere Lieferketten geworden sind. Eine Möglichkeit, diese Herausforderungen gemeinsam...

The Internet has created great opportunities for consumers. With the digitalization wave breaking, Single Sign-On services emerged that satisfy the desire for seamless online journeys and provide users with their digital identities. On a global scale, oligopoly structures evolved where "tech giants" primarily manage identities and personal data. Co...

While advocates argue for the disruptive impact of marketplace business models and Blockchain in various regards, their practical effects on today's organizations are still limited. This study reviews the current body of literature on Blockchain-enabled Marketplaces in Business Ecosystems, outlines present scopes, and disregarded topics. Our review...

Hydrogen can contribute substantially to the reduction of carbon emissions in industry and transportation. However, the production of hydrogen through electrolysis creates interdependencies between hydrogen supply chains and electricity systems. Therefore, as governments worldwide are planning considerable financial subsidies and new regulation to...

Data monetization has proven to be one of the most viable profit pools across industries. As vehicles become increasingly connected, leveraging their collected data through novel business models is the most promising value driver for automotive enterprises. Despite the increasing practical relevance, theoretical and conceptual insights on connected...

Recent demonstrations of AR showcase engaging spatial features while avoiding text input. However, this is not due to descending relevance but rather because no satisfactory solution to text input in a comprehensive AR system is available yet. Any novel technological device requires rethinking the way we interact with it, including text input. With...

The transition of the energy sector towards more decentral, renewable and digital structures and a higher involvement of local residents as prosumers calls for innovative business models. In this paper, we investigate a sharing economy model that enables a residential community to share solar generation and storage capacity. We simulate 520 sharing...

Mobile Crowd Sensing is a widespread sensing paradigm, successful through the ever-growing availability of mobile devices and their increasing sensor quality. Mobile Crowd Sensing offers low-cost data collection, scalability, and mobility, but faces downsides like unknown or low sensing quality and uncertainty about user behavior and movement. We e...

Digital government opens up opportunities to critically reflect on administrative and government processes and to rethink them accordingly. In the past, citizen participation processes were subject to numerous challenges, but e‑participation offers opportunities to combine them with modern technologies that enable low-threshold participation. In th...

Flow represents a valuable daily life experience as it is linked to performance, growth, and well-being. As flow support is still a major challenge due to a lack of automatic and unobtrusive detection methods, NeuroIS scholars face the opportunity to devise measurement approaches for flow experience during IS use and, moreover, flow supporting, ada...

Substituting fuel-based and manual delivery for the last miles with electric automated guided vehicles (e-AGVs) promises to substantially reduce CO2 and noise emissions, and traffic congestion in urban areas. As they are battery-based vehicles, efficient battery charging which alleviates range and recharging limitations is crucial for the delivery...

In recent years, local energy markets have become an important concept in more decentralized energy systems. Implementations in pilot projects provide first insights into different hypotheses and approaches. From a technical perspective, the requirements for the IT infrastructure of a local energy market are diverse, and a holistic view of its arch...

Coordinated operation of Coupled Electric Power and District Heating Networks (CEPDHNs) brings advantages as e.g., the district heating networks can provide flexibility to the electric power network, and the entire system operation can be further decarbonized through heat pumps and electric boilers using electricity from renewable energy sources. S...

Supply chain planning in global production networks is a very difficult task due to the high diversity of products and machines and the immense number of possible configurations. An important task in this area is capability matchmaking: finding machines that are capable to produce specific parts. Today, this is done by experienced engineers who hav...

Mission statements are written declarations that summarize and communicate an organization's core values and strategies and present managerial tools that can be used to motivate employees by creating a common self-understanding of an organization. With politics aiming to become ever more inclusive and participative ranging from the local to the glo...

Local, decentralized, and highly volatile electricity generation of renewable energy sources (RES) calls for new market approaches. Local energy markets (LEMs) match electricity production and consumption in a decentralized approach which reflects the distribution of the growing amount of RES. The blockchain technology, a distributed information an...

Electric vehicles have proven to be a viable mobility alternative that leads to emissions reductions and hence the decarbonization of the transportation sector. Nevertheless, electric vehicle adoption is progressing slowly. Vehicle fleets are a promising starting point for increased market penetration. With this study, we address the issue of fleet...

Local energy markets (LEMs) are well suited to address the challenges of the European energy transition movement. They incite investments in renewable energy sources (RES), can improve the integration of RES into the energy system, and empower local communities. However, as electricity is a low involvement good, residential households have neither...

For the final, published version of this article see: https://www.sciencedirect.com/science/article/pii/S0301421521005930 ------- Hydrogen can contribute substantially to the reduction of carbon emissions in industry and transportation. However, the production of hydrogen through electrolysis creates interdependencies between hydrogen supply chains...

Following the European Union’s emission reduction goals, the expansion of intermittent renewable energy sources is being pursued by numerous member states. This poses challenges especially to low-voltage electricity grids that are not designed for the volatile and unpredictable feed-in from renewable generation capacity. In addition to the expansio...

Mission statements are documents that summarize an organization's core values and strategies and are used to motivate employees by creating a common understanding among them. However, studies have shown that employees often seek more involvement in the development of mission statements in their organizations. Digitization pushes the implementation...

Reputation systems are core components of online platform markets, incentivizing trust and trustworthiness. Small market design details may have large implications on the extent of trade and platform revenues. We selectively review our own and others’ research on the design of reputation mechanisms for platforms highlighting particular issues in th...

We analyze the predictability of the bitcoin market across prediction horizons ranging from 1 to 60 minutes. In doing so, we test various machine learning models and find that, while all models outperform a random classifier, recurrent neural networks and gradient boosting classifiers are especially well-suited for the examined prediction tasks. We...

As levelized costs of electricity for many renewable generation sources are continuing to fall and as feed-in tariffs are consequently being phased out, financial risk hedging for intermittent renewable generators takes a central stage. Battery storage as complementary capacity can support renewable generators regarding a more stable supply of elec...

Citizen Energy Communities (CECs) are increasingly promoted in the European Union and beyond as a form of locally operated microgrids. While traditional microgrid research is often focused on an optimized operation, individual preferences regarding conflicting objectives are becoming more important in such communities. In this study, we present an...

Hydrogen fueled transportation can contribute substantially to the reduction of global carbon emissions. However, the production of hydrogen through electrolysis creates interdependencies with electricity systems. Therefore, we present a new model which couples the hydrogen supply chain with the electricity system. We use this model to analyse a ca...

When it comes to construction projects, public debates and protests may arise if architectural plans remain unshared with the citizens they might affect. To involve the public affected by construction projects, offering easily graspable visualization for citizens is key. E-Participation provides opportunities to include technological innovations th...

While photovoltaic (PV) systems are installed at an unprecedented rate, reliable information on an installation level remains scarce. As a result, automatically created PV registries are a timely contribution to optimize grid planning and operations. This paper demonstrates how aerial imagery and three-dimensional building data can be combined to c...

We analyze the predictability of the bitcoin market across prediction horizons ranging from 1 to 60 min. In doing so, we test various machine learning models and find that, while all models outperform a random classifier, recurrent neural networks and gradient boosting classifiers are especially well-suited for the examined prediction tasks. We use...