Miracle-dz/UniFAR-FTUs huggingface dataset:
Discovery of a specialist Copelatinae fauna on Madagascar: highly ephemeral tropical forest floor depressions as an overlooked habitat for diving beetles (Coleoptera, Dytiscidae)

Abstract Diving beetles are generally aquatic and live submerged in water during larval and adult stages. A few groups have colonised hygropetric habitats and fewer species still can possibly be referred to as terrestrial. Here we describe six new Copelatine species that were mainly found in dry shallow forest floor depressions in the eastern and northeastern lowland humid forests of Madagascar. Three new species are described in each of the two genera Copelatus and Madaglymbus: Copelatus amphibiussp. nov., Copelatus betamponasp. nov., Copelatus zanatanensissp. nov., Madaglymbus kelimasosp. nov., Madaglymbus menalambasp. nov., and Madaglymbus semifactussp. nov. Diagnosis, description, known distribution, ecology, and conservation notes are provided for each species. All species are illustrated with a dorsal habitus image, ventral and lateral views of the male penis, and parameres. Photographs of the unusual terrestrial habitats where the species were found are provided. Madaglymbus menalambasp. nov. is also documented with macrophotos and videorecordings of the terrestrial locomotion and behaviour in the field. Although these species should not be classified as terrestrial, or even semi-terrestrial Dytiscidae, they seem to be specialists of very ephemeral aquatic habitats and stay put instead of disperse when the habitat dries up. It is hypothesised that this lifestyle and behaviour on Madagascar is restricted to the high-precipitation humid forest regions mainly in the east. It may also represent a transition step, or stepping-stone, towards becoming fully terrestrial, a step that the few known terrestrial Dytiscid taxa once passed through. It is very likely that this type of habitat is overlooked for aquatic beetles, not only in Madagascar, and the six species herein described may be just the “tip of the iceberg”.
A Decision Model for the Implementation of Blockchain Solutions

Blockchain technology is said to have a tremendous impact on business and society. As blockchain is currently on top of the famous Gartner’s hype cycle, many organizations are beginning to experiment with the technology. However, the majority of these projects fail or are abandoned. Existing decision models that could help to counteract this problem lack important aspects. Therefore, we provide a comprehensive decision model for the implementation of blockchain solutions. Our decision model highlights prerequisites, business and technical considerations, and discusses design decisions of blockchain solutions. Besides the advantages, we show that blockchain technology has limitations that may restrict its application such as a lack of standards. Scholars can apply the decision model for future research, while practitioners can use it to assess and design a potential blockchain implementation.
"Appropriate Technical and Organizational Measures": Identifying Privacy Engineering Approaches to Meet GDPR Requirements

The General Data Protection Regulation requires, inter alia, the establishment of technical and organizational measures to ensure privacy properties. Software developers face the challenge of identifying these properties and suitable privacy enhancing techniques (PET). We conduct a literature study and identify eight privacy engineering approaches, which we analyze for their coverage of the GDPR privacy properties and for their support in software development phases. We conclude that recent privacy engineering approaches have the conceptual background to cover the GDPR, but advocate research on the integration of privacy concerns in software development processes
Factors Influencing Financing Performance of Public Crowdfunding Projects

This study investigates the factors influencing financing performance of public crowdfunding projects. Based on the persuasion theory, we analyze the impact of information characteristics, issue involvement, information source credibility and social capital of information source on financing performance. Using the data in a large crowdfunding platform and the stepwise regression, we found that having evidence, project type, the number of successful projects in the past and the number of comments have a significant positive impact on financing performance. Our findings will make theoretical contributions to public crowdfunding, also help project creators and platform designers to manage public crowdfunding projects effectively.
Eating the Forbidden Fruit: Human Curiosity Entices Data Breaches

Data breaches across various industries infer that human curiosity has a powerful influence on information security behaviors. Drawing on Human Curiosity Theory, this study seeks to determine the impact that human curiosity has on information security policy violations despite the existence of training programs to increase information security awareness, the sanctions for violating information system policies, and the costs far exceeding the benefits associated with an information security violation. This study explores how human curiosity leads to data breaches by focusing on the innate desire of knowledge acquisition and the aversive emotional state resulting from knowledge deprivation. This leads to the two main objectives of this study: (1) identify and propose security countermeasures to curb insider curiosity and prevent data breaches and (2) present how Human Curiosity Theory challenges the notions of both General Deterrence Theory and Rational Choice Theory.
Privacy Control Patterns for Compliant Application of GDPR

The exchange of sensitive information has become an important part of our daily lives. This does effect business and personal data. Data exchange is subject to legal regulations. Since May 2018, the European Data Protection Regulation (EU-GDPR) has specifically regulated the protection of personal data. The regulations and possible penalties for non-compliance still lead to uncertainty in many companies. This article exposes techniques in which day-to-day work can be designed in conformity with EU-GDPR. Therefore, we define privacy control patterns that transfer existing GDPR requirements into technical solution templates for compliant services. These patterns contain generally applicable guidelines in the sense of data protection and privacy. The catalogue of patterns serves as a book of reference for providers and users of ICT-services to reduce and overcome uncertainties associated with GDPR implementation and compliance. To demonstrate the implementation of our patterns, we introduce the application system EDV.
Don't Ever Take Sides with Anyone Against the Family: Family Ownership and Information Management

Family-owned firms constitute majority of businesses in China, the United States, and India. We merge the Socioemotional Wealth perspective and microfoundations-based theories to explore the combined effect of nature of ownership and the top management team, on investment in IT-based Information Management. Analysis of an unbalanced 11-year panel of secondary data from all publicly listed firms in India, constituting 3,800 firms and 16,079 firm-year observations, finds support for our primary thesis: since preservation of socioemotional wealth is the primary desire for family owners, family ownership is negatively associated with investment in information management. We also find that family owners‟ ability, reflected through presence in the top management team, mitigates this negative relationship. Surprisingly, the effect of presence of professionals in the top management team on the relationship of family ownership and investment in information management was not significant, demonstrating that you don't ever take sides with anyone against “The Family”.
Towards Understanding the Use of Information Systems in Caring Communities

Many projects nowadays deal with the problems caused by the demographic change and their possible solutions. One popular concept includes the strengthening of neighborhoods and the fostering of caring communities. Information systems (IS) can hereby help to collect, store, organize, and distribute data throughout the neighborhood. Depending on the implementation of the embedded information and communication technologies (ICT), these systems have the potential to promote participation and social networking in neighborhood structures and enable people to stay at home for as long as possible. This paper presents the results of ten expert interviews on experiences and recommendations of technology usage in different neighborhood projects. The overall tenor is that it must get clear to everyone that technology alone is not the solution but should be used as a community networking tool to strengthen and support aging in place. The need for a person in charge was stressed by all interviewees.
Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation

Online auctions are a viable alternative to conventional posted price mechanisms. Agrawal, Wang, and Ye [1] have proposed two primal-dual algorithms for revenue-maximizing multi-item allocation tasks. Although promising in terms of theoretical properties and competitive ratios, there is a lack of evidence regarding the real-world practicability of these mechanisms, for instance referring to online auction-based tickets sales. In this paper, we conduct an experimental study on both the One-Time Learning Algorithm (OLA) and the Dynamic Learning Algorithm (DLA) based on synthetic data, revealing the remarkable aptitude of the latter for non-trivial online auctions. Being robust to most input variations, the inherent dynamic update of dual thresholds achieves a superior balance with respect to the trade-off between objective function values and runtimes. We address critical sensitivities quantitatively and draft several small extensions by incorporating input distribution knowledge.
On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work

Conversational agents (CA), i.e. software that interacts with its users through natural language, are becoming increasingly prevalent in everyday life as technological advances continue to significantly drive their capabilities. CA exhibit the potential to support and collaborate with humans in a multitude of tasks and can be used for innovation and automation across a variety of business functions, such as customer service or marketing and sales. Parallel to the increasing popularity in practice, IS researchers have engaged in studying a variety of aspects related to CA in the last few years, applying different research methods and producing different types of theories. In this paper, we review 36 studies to assess the status quo of CA research in IS, identify gaps regarding both the studied aspects as well as applied methods and theoretical approaches, and propose directions for future work in this research area.
The Impact of Early International Digital Release of Films on U.S. Box Office Revenues

For film studios, the development of new digital distribution channels has created new opportunities and challenges, which are in particularly stark contrast in the Chinese market. In recent years, Hollywood studios have responded to China’s film import quota and widespread piracy by releasing some films on Chinese digital streaming platforms, in many cases while the film is still showing in the U.S. box office. Though the selection of such films was not random, we identified and controlled for several confounding factors that may lead to selection bias, and then used a difference-in-differences strategy to identify the causal effect of early Chinese digital release on the sales revenues in the U.S. box office. Our results show that the early release on Chinese digital streaming platforms does in fact lead to early appearance of piracy. However, this piracy does not seem to cannibalize U.S. box office revenues.
Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective

Data have become a key ingredient for ICT-enabled business models. Nevertheless, there is great uncertainty among scholars and practitioners alike about how to leverage data as an essential innovation resource. This raises the question of how to design data roles to innovate business models. To answer this question and to facilitate a deeper, cause-effect-relation understanding of the interdependencies between data roles and business models, system dynamics was chosen as the approach of analysis. Within a multiple case study of five business model cases with multiple embedded units per case, the study shows that there are four recurring basic data role patterns e.g. ‘incremental improvement’ or ‘initial data boost’ and two data role characteristic patterns, describing how data rol es unfold within business models e.g. ‘change in self - reinforcement’ pattern. Overall, the patterns help to visualize and articulate data usage in business models and therefore contribute to the ongoing endeavor of innovating business models.
Start-Up Tasks for Software Development Projects from Customer and Vendor Perspectives

Project start-up is defined as a short-term systematic process leading to project execution. Literature to date lacks emphasis on a definition of the project startup phase and the tasks conducted during this phase. Whilst studies have explored causes of project failure to derive from the early stages of a project, limited studies have explored the impacts of project start-up tasks to a project’s execution and outcome. Using semi-structured interviews from 17 participants across 7 organizations, this study identifies the project start-up tasks and its impact to project delivery and outcomes from the perspective of in-house and outsourced projects. The start-up phase of each organization was then displayed in a comprehensive model depicting the substages within this phase, its corresponding tasks, and the ultimate outcome of each substage. Commonalities and variations within and across organizations are further highlighted.
Risk and Self-Disclosure in Sustainable Persuasive Smart Home Technologies

With smart home technologies influencing people’s behavior is easier than ever before. Introduction of innovative information systems (IS), including Green IS, should not ignore the users’ security and privacy concerns. To research the users’ perceptions of sustainable persuasive smart home technologies, we inspect a persuasive smart meter. We observe how Persuasive Systems Design (PSD) influences intention to continue using the system and how risk and self-disclosure impact PSD features in the smart meter. We developed a research model and formed hypotheses by drawing on PSD model and Adaption Level Theory. We used a smart metering app enhanced with the persuasive features to illustrate a sustainable persuasive smart home technology. Findings provide insights for the further research of security issues in sustainable persuasive smart home technologies and for practitioners who introduce similar technologies to the users.
Effect of Novelty and Tie Strength on Sharing Behavior for Firm Generated Content

Users’ sharing behavior determines the diffusion of firm generated content on social media. However, it is unclear whether current literature on antecedents of sharing behavior can be applied to the context of the firm generated content in brand communities. Therefore, this study tackles two research questions about the effect of tie strength on sharing behavior for firm generated content and the moderating role of the novelty on the relationship between tie strength and sharing behavior. To answer the research questions, this study investigates three key constructs: sharing behavior, information novelty, and tie strength and suggests hypothesized relationships among them. This study is expected to contribute current knowledge in information sharing by focusing on strong tie subscribers whose role has been underestimated compared to weak tie subscribers.
Blessings and Pitfalls of Harnessing Employee-Driven Innovation within a Work Model

The rising digitization changes the development processes of innovation in organizations. This provides employees the opportunity to take part in it. Even though their participation offers favorable opportunities, employees’ role as potential innovators has been mainly left unattended both in research and practice. By following examples such as Google’s “Innovation Time Off” and releasing employees temporarily from their regular work to develop new ideas, organizations’ can take a step in this direction. However, due to the existence of only few practical cases, limited knowledge exists on work models’ successful implementation for employee-driven innovation in general, and its drivers and barriers in particular. Thus, we have conducted a case study with an IT service provider implementing such a work model. Using the technology-organization-environment (TOE) framework as guiding lens, our results show that work models’ effectiveness increases with the presence of ‘innovation champions’ and that work models produce additional positive work-related outcomes.
The Complexity Trap - Limits of IT Flexibility for Supporting Organizational Agility in Decentralized Organizations

In times of digitalization, organizations are transforming to become more agile. Decentralizing decision-making to lower levels of the organization allows firms to better detect changes in their environment and to sense new opportunities. Simultaneously, the digital transformation of a firm is increasingly relying on a flexible IT function. This study explores how decentralization of decision-making power increases organizational agility and to what extent this relationship is dependent on IT flexibility. We conducted a quantitative study using two rounds of surveys with 123 respondents from the consulting industry. Based on covariance-based SEM, we find that too much flexibility of the IT function in combination with decentralized decision-rights creates a complexity trap and, thus, decreases organizational agility. These findings carry several theoretical contributions for organizational agility research and shed new light on the role of IT flexibility for digital transformation.
The Potential of Augmented Reality for Improving Occupational First Aid

Accidents at work can happen at any time, but employees often do not feel prepared for such situations and therefore provide inadequate first aid. Using the Design Science approach, we developed a concept for an Augmented Reality (AR) application which uses voice assistance and visual AR overlays to support occupational first aiders with instructions in accident situations. The concept was implemented in the form of a video prototype and evaluated through interviews. The evaluation revealed that the application would enable employees without first aid training to apply first aid measures quickly and correctly; thus, reducing the probability of serious consequential injuries and costs in connection with occupational accidents.
Patientenintegration durch Pfadsysteme

Die aktive Integration eines Patienten in seinen Behandlungsverlauf besitzt große Potentiale zur Verbesserung der Behandlungsqualität. Als Ansatz zur besseren Patientenintegration werden häufig Patientenportale genannt. Die bestehenden Lösungen fokussieren jedoch vornehmlich auf die Zugänglichkeit elektronischer Patientenakten aber nicht auf die Integration von einrichtungsübergreifenden Informationen zum Behandlungsverlauf, auch Patientenpfad genannt. Der Beitrag schlägt daher eine Referenzarchitektur zur Integration von Pfadsystemen in Patientenportale vor. Ihre Anwendbarkeit wird anhand der Gestaltung eines Patientenportals für die Multiple Sklerose Behandlung demonstriert.
Predicting User Interaction in Enterprise Social Systems Using Process Mining

In this paper, we explore the potential of probabilistic process mining for Enterprise Collaboration Systems (ECS) to predict the behavior of systems users. Towards this objective, we discuss applicability, limitations and challenges of probabilistic process mining in the context of ECS. We argue that probabilistic process mining can be a valuable method for researchers as well as practitioners (managers of collaboration platforms). We create and examine two process models using a probabilistic finite automata algorithm on event data of an enterprise collaboration system to show the feasibility of probabilistic process mining in ECS. Our research illustrates the most probable sequence of user activities in the selected system and demonstrates a way to predict the communities that a user will likely be active in.
How Software Promotes the Integration of Sustainability in Business Process Management

Business research and practice increasingly focus on integrating sustainability in organizations. To contribute to rising challenges related to the society and the environment, sustainability-driven concepts (e.g., environmentalfriendly) have to be implemented in the daily business routines, and thus, need to be considered during the design of business processes in any organization. In this study, we conceptualize the field of Green Business Process Management (BPM) and use the derived concepts to classify supporting modelling tools and concrete software features. While our study indicates a lack of realization of the ecological and social sustainability in particular and a gap in supporting users during the redesign phase, there are software features that can potentially serve as a starting point to further incorporate sustainability in the design, implementation, and controlling of business processes.
Data Governance in Digital Platforms

As data is becoming an increasingly valuable asset for organizations, pressure to improve its governance is increasing. Prior research provides a thorough view on data governance within a single organization. Although data sharing with partner organisations in data platforms provides a means to add data’s value, empirical studies addressing data governance in shared data platforms are still few. We propose a literature based preliminary framework for platform data governance with five domains: original data quality; ownership and access; stewardship; platform data quality and value of data usage. We report experiences from a European shipbuilding network, which is seeking ways to share data collected during ship’s operations. While the device manufacturers already process sensor data within their device-specific platforms, they are knowledgeable about potential benefits of sharing their data with others in the network. Based on interviews within the shipyard network, we report views along the five platform data governance domains.
The Changing Roles of Innovation Actors and Organizational Antecedents in the Digital Age

Despite being acknowledged for playing a pivotal role in facilitating innovations in the digital age, there is a lack of research on the multifaceted role of digital innovation actors. This paper provides a systematic, multi-disciplinary literature review on innovation actors in a digital and non-digital context. Based on a search of 149 high-quality journals and conference proceedings, we identified 110 articles as relevant and categorized as well as synthesized the knowledge on innovation actors’ role and organizational antecedents in a digital and non-digital context. We find an increasing focus on innovation actors’ role in user communities in a digital context. Moreover, literature on organizational antecedents puts a stronger emphasis on allocating resources to innovation actors outside the organization. By analyzing extant research we provide a comprehensive summary on current knowledge and outline opportunities for future research on digital innovation actors.