Search results

The purpose of this paper is to analyze the business models that 3D printer manufacturers apply to commercialize their technologies. The authors investigate these business models and analyze whether there are business model patterns. The paper describes the gestalt of the business model patterns and discusses differences and similarities.

The authors review the literatures on business models and 3D printing technology. The authors apply a componential business model approach and carry out an in-depth analysis of the business models of 48 3D printer manufacturers in Europe and North America. The authors develop a framework focusing on value proposition, value creation and value capture components. Cluster analysis is used to identify business model patterns.

The results indicate that there are two distinct business model patterns in the industry. The authors termed these patterns the “low-cost online business model” and the “technology expert business model.” The results demonstrate that there is a relationship between business model and technology. The identified patterns are independent of age, company size and country of origin.

The empirical results complement and extend existing literature on business models. The authors contribute to the discussion on business models in the context of novel technology. The technology seems to influence the gestalt of the business model. The sample is limited to European and North American companies and the analysis is based on secondary data.

This is the first empirical study on the business models of 3D printer manufacturers. The authors apply an original mixed-methods approach and develop a framework that can function as a starting point for future research. 3D printer manufacturers can use the identified business model patterns as blueprints to reduce the risk of failure or as a starting point for business model innovation.

This study investigates antecedents determining the inclination to engage in future environmental entrepreneurial activities. Building on passion research and social cognitive theory, the authors explore the role of environmental passion for environmental entrepreneurial intention, drawing attention to the mediating role of environmental self-efficacy.

A regression-based path analysis for mediation to test the developed hypotheses on a sample of 139 young individuals is applied.

The results demonstrate a significant positive effect of environmental passion on environmental entrepreneurial intention. The mediation analysis shows a positive direct and indirect effect of passion on intention, concluding that self-efficacy is a partial mediator. The results further suggest that environmental entrepreneurial intention is related to gender. In contrast, covariates like age, entrepreneurial exposure and entrepreneurship education have no significant effect.

The results have implications for practitioners and policymakers who aim to further entrepreneurship for environmental sustainability. It underlines the need to take emotional antecedents seriously, suggests policy for creative and interdisciplinary education with respect to its challenges and emphasizes the roles of teachers in fostering passion.

The results provide a deeper contextualized understanding of passion, self-efficacy and intention in environmental entrepreneurship. These results offer an original perspective of entrepreneurship as a conduit to channel energy, concerns and passionate interests in the natural environment. The study presents theoretical implications for passion theory by extending sources of passion and clarifying the direction of self-efficacy in entrepreneurship.

Entrepreneurial identity aspiration refers to the desire to occupy an entrepreneurial role in the future and is an essential impetus for initially engaging in entrepreneurial activities. Building on identity theory, the article investigates the effects of personal attitudes, experiences and inclination towards specific practices on the strength of entrepreneurial identity aspiration.

This article applies multiple linear regression analysis to test the developed hypotheses on an original sample of 127 vocational college students in Austria.

Results show that risk-taking propensity, proactiveness, entrepreneurial self-efficacy and competitiveness drive entrepreneurial identity aspiration. The effects of innovativeness and need for achievement motivation are nonsignificant. Data further suggest that entrepreneurial identity aspiration is related to gender, while entrepreneurial exposure and previous entrepreneurship education show no or adverse effects.

Based on our findings, the authors argue that education should focus on teaching and discussing the identified attitudes and inclinations to foster the formation of entrepreneurial identities. Doing so increases students' aspirations and provides them with the necessary cognitive underpinnings for subsequent entrepreneurial action. The article suggests action-based teaching to achieve this goal.

This article is the first to investigate antecedents of entrepreneurial identity aspiration by connecting it to essential concepts of entrepreneurship research. The authors extend previous work on entrepreneurial identity and add to the theoretical approaches for research in entrepreneurship education. Furthermore, the article points out central aspects that should receive additional attention in educational settings.

Mountaineering and related activities are increasingly becoming popular and are accompanied by an increase in medical incidents. Emergency operations in mountainous terrain are time-critical and often pose major logistical challenges for rescuers. Drones are expected to improve the operational performance of mountain rescuers. However, they are not yet widely used in mountain rescue missions. This paper examines the determinants that drive the behavioral intention of mountain rescuers to adopt drones in rescue missions.

This is a behavioral study that builds upon an extended model of the unified theory of acceptance and use of technology (UTAUT) and investigates the relationship between individual attitudes, perceptions, and intentions for drone adoption. Original survey data of 146 mountain rescuers were analyzed using moderated ordinary least squares (OLS) regression analysis.

Results indicate that the behavioral intention to use drones in mountain rescue missions is driven by the expected performance gains and facilitating conditions. Favorable supporting conditions and experience with drones further moderate the relationship between performance expectancy and behavioral intention. The effects for effort expectancy, social influence, and demonstrations were not significant.

Rescue organizations and stakeholders are recommended to consider the identified determinants in the implementation of drones in emergency logistics. Drone manufacturers targeting mountain rescue organizations are advised to focus on operational performance, provide sufficient support and training, and promote the gathering of practical experience.

A tailored-model that provides first empirical results on the relevance of personal and environmental factors for the acceptance of drones in emergency logistics is presented.

3D printing possesses certain characteristics that are beneficial for user entrepreneurship. The purpose of this paper is to investigate the business models of user entrepreneurs in the 3D printing industry. In addition, various business opportunities in 3D printing open to user entrepreneurs are classified according to their attractiveness.

The authors review the literatures on user entrepreneurship and on business models. Data from eight user entrepreneurs in Europe and North America are analyzed, applying qualitative content analysis. Multiple correspondence analysis is used to analyze their respective business models.

User entrepreneurs in the 3D printing utilize a number of different business models, which show similarities in particular business model components. User entrepreneurs focus primarily on the combination of low opportunity exploitation cost and a large number of potential customers.

Online business seems to be beneficial for user entrepreneurship in 3D printing. Policy makers can foster user entrepreneurship by expanding entrepreneurship education and lowering administrative barriers of business foundation. The results of this study are based on a small European and North American sample. Thus, they might not be applicable to other markets.

This is the first study of user entrepreneur business models in 3D printing and, thus, contributes to the literature on business models and on user entrepreneurship. In view of the novelty of the field, the business models identified in the study could serve as blueprints for prospective user entrepreneurs in 3D printing.

Many experts agree with the opinion that blockchain technology will bring about a revolution and create a new system of living, relating and doing business. What so far seems to be an experimental phenomenon, which is already producing results and creating high-value communities, may soon become a real social transformation. The case study presented here sheds some light on the blockchain reality, the importance of digital entrepreneurial talent, which seeks to take advantage of a situation in the country to develop a commercial project attractive to foreign investors. The authors analyze the key elements of the success of a Paraguayan company focused on high-tech operations. The authors venture to present an exploratory model of management in the blockchain world, in order to collaborate, cooperate and encourage the success of many future digital ventures.

The growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility – if only the model outputs are interpretable enough to earn the trust of consumers and buy-in from companies. To build a foundation for understanding the importance of model interpretation in image analytics, the first section of this article reviews the existing work along three dimensions: the data type (image data vs. video data), model structure (feature-level vs. pixel-level), and primary application (to increase company profits vs. to maximize consumer utility). The second section discusses how the “black box” of pixel-level models leads to legal and ethical problems, but interpretability can be improved with eXplainable Artificial Intelligence (XAI) methods. We classify and review XAI methods based on transparency, the scope of interpretability (global vs. local), and model specificity (model-specific vs. model-agnostic); in marketing research, transparent, local, and model-agnostic methods are most common. The third section proposes three promising future research directions related to model interpretability: the economic value of augmented reality in 3D product tracking and visualization, field experiments to compare human judgments with the outputs of machine vision systems, and XAI methods to test strategies for mitigating algorithmic bias.

Households are exposed to a wide array of risks, characterized by a known or unknown probability distribution of events. Disasters are one of these risks at the extreme end. Understanding the nature of these risks is critical to recommending appropriate mitigation measures. A household’s resilience in resisting the negative outcomes of these risky events is indicative of its level of vulnerability. Vulnerability has emerged as the most critical concept in disaster studies, with several attempts at defining, measuring, indexing and modeling it. The paper presents the concept and meanings of risk and vulnerability as they have evolved in different disciplines. Building on these basic concepts, the paper suggests that assets are the key to reducing risk and vulnerability. Households resist and cope with adverse consequences of disasters and other risks through the assets that they can mobilize in face of shocks. Asustainable strategy for disaster reduction must therefore focus on asset‐building. There could be different types of assets, and their selection and application for disaster risk management is necessarily a contextual exercise. The mix of asset‐building strategies could vary from one community to another, depending upon households’ asset profile. The paper addresses the dynamics of assets‐risk interaction, thus focusing on the role of assets in risk management.

This study aims to evaluate the interface of the mobile Centralized Doctor Appointment System (CDAS), the largest mobile e-government health application developed in Turkey to allow citizens to make medical appointments at public hospitals.

A total of 40 information systems engineers took part in the study. The evaluation process was mainly based on Nielsen’s heuristics. The data obtained in the evaluation process were enriched using system usability scale to conduct a more detailed analysis.

Based on the findings, problems related to the usability of the evaluated mobile health application were identified. The most violated heuristic items were found to be “error prevention” and “user control and freedom”, whereas the least violated heuristic item was “consistency and standards”. The participants generally categorized the usability problems they identified as “minor” or “major” according to their severity.

As a developing country, Turkey has made considerable investment in mobile e-government applications in recent years. It is equally important that mobile e-government services provided by public institutions have features that make these applications effective, efficient and satisfying for citizens. Therefore, the usability of mobile health applications in government services needs to be researched to improve their effectiveness and guide authorities, practitioners and designers.

As an effective tool to promote rational resource allocation and facilitate the development of green management practices such as enterprise digital innovation, the green credit policy has recently gained extensive attention. The purpose of this paper is to analyze the relationship between green credit policies and the digital innovation of enterprises, and to further explore the mechanism of action between them and their boundary conditions.

Based on micro-level data on Chinese firms from 2007 to 2019, this paper constructs a difference-in-differences (DID) model to investigate the impact and intrinsic mechanisms of green credit policies on firms' digital innovation and its boundary conditions, with the help of a quasi-natural experiment, i.e. the Green Credit Guidelines.

Green credit policies inhibit digital innovation and fail to compensate for innovation. The analysis of the mechanism shows that the implementation of green credit policies has a negative impact on digital innovation by increasing the financing constraints faced by firms, and has also a crowding-out effect on R&D investment, resulting in a disincentive to digital innovation. Further analysis reveals that the negative impact of green credit policies on digital innovation is more pronounced in state-owned enterprises, enterprises without financially experienced executives, and in the eastern regions of China.

This study provides empirical evidence to understand the effectiveness and mechanism of influence of green credit policies on enterprise digital innovation, providing also a basis to further improve green credit policies.