Miracle-dz/UniFAR-FTUs huggingface dataset:
The Digital Platform Otto.de: A Case Study of Growth, Complexity, and Generativity

We analyze the growth, complexity, and generativity of the digital platform Otto.de, a revelatory case of a large German company that has opened up its internal IT platform to outside developers. We find indication for a superlinear growth pattern fueled by external developers and the introduction of microservices as well as the emergence of a structural separation within the platform. Furthermore, our research shows ways to explain the generativity of a digital platform based on the attention and activity received.
Factors Inhibiting the Adoption of Artificial Intelligence at organizational-level: A Preliminary Investigation

Artificial intelligence has emerged as a research field. Recently, there has been a remarkable increase in the adoption of AI technology in organizations as new forms of work have increased substantially. Despite the envisaged benefits of AI adoption, many organizations still struggle to drive their AI adoption forward. This study leads to the closing of this gap by conducting a thorough analysis of the current state of AI adoption and the main barriers to AI adoption among Australian organizations. To do so, we draw on The Technology-Organizations-Environment (TOE) framework to categorize the factors inhibiting AI adoption at organization-level. This paper reports on the results of an online questionnaire involving 207 small, medium and large-sized organizations about their level of AI adoption and barriers. The study offers insights and a research agenda to help executives and top-level managers prepare for AI adoption, and to make informed decisions to speed up the adoption process.
Automated Deployment of Cybersecurity Labs in Cloud Computing Environments

Government and private sector reports continue to highlight the shortage of qualified cybersecurity professionals. Hands-on cybersecurity labs can enhance student learning and augment the gap in qualified teachers. While there is a large body of research on cybersecurity labs, it is challenging to recreate these labs due to the use of proprietary software, significant hardware requirements, or large data transfer requirements. The automated deployment of IT infrastructure allows for the easy deployment and sharing of lab environments. This research proposes a framework for the use of DevOps tools to automate the deployment of cybersecurity labs that maps to specific learning objectives. We apply design science research methods to create a proof of concept demonstration that automates the deployment of the same cybersecurity lab environment on two different cloud providers. The research provides a new framework and method to create, deploy, and share cybersecurity labs that are mapped to learning objectives.
Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis

Industrial machines are amongst Germany’s main export products and contribute to the increasing revenue of Mechanical Engineering. However, in the course of globalization, services for such machines have become costly and inflexible due to long distances between vendors and customers. Consequently, companies seek to avoid unexpected failures and long down times by the development of data-based “smart” service solutions, including Predictive Maintenance (PM). In contrast to reactive or preventive measures, PM refers to the proactive planning of required maintenance services based on data sampled from the machinery. Although PM has been conceptualized decades ago and various methods have been proposed ever since, there is no standard strategy. By analyzing existing literature, we shed light on the knowledge base in PM. We provide an overview of methods and discuss their respective context, including preconditions and applications. Our work constitutes a first step towards a framework that guides the implementation of PM-strategies.
How Emotional Self-Control Relates to IT Mindfulness and Technostress in Students

Students in IT-intensive courses such as Introduction to MIS must learn new technologies in a short amount of time, similar to self-directed knowledge workers in a company. Technostress reduces employee performance, engagement and satisfaction, but how does it affect business students? Although emotional intelligence has profound effects on student outcomes, its relationship with technostress and IT mindfulness is unexplored. Instructors cannot design effective theoretically-based interventions without understanding the underlying problems that students are experiencing. To address this gap, this paper reviews current literature on these concepts and presents a research model to explore the effects of these relationships in business students taking the Introduction to MIS course. The proposed study will build on the existing model of IT mindfulness and technostress in order to explain the role of emotional selfcontrol in the research model and to test which factors have the most significant effects on students. It contributes to research on IS education, IT mindfulness, technostress, and emotional self-control.
Causes and Effects of the Presence of Technical Debt in Agile Software Projects

The current software development scenario is characterized by a wide adoption of agile methodologies. Despite its benefits, agile software development (ASD) is also vulnerable to technical debt (TD). In fact, due to its delivery-oriented nature, ASD seems to be more prone to TD accumulation than traditional software development. Although the concept of TD has been increasingly investigated in software engineering, there is a lack of studies regarding TD in ASD. This paper discusses the most common causes and effects of TD in ASD. Through an industrial survey on TD, we compiled the answers of 51 practitioners to identify 43 causes and 30 effects of TD in ASD. This information can support decision-makers on how to deal with TD in agile software development.
Designing Radio in a Personalized World

Radio broadcasting is currently undergoing major changes. Radio broadcasting agencies experience a shift from the classic linear stream to non-linear personalized playouts on smart devices. Many broadcasting agencies are experimenting how to innovate their offerings, but designing personalized radio is not straightforward. We contribute a design science artefact that considers requirements from different stakeholders – listeners, broadcasting agencies and the public – and present design requirements and design principles with a corresponding architecture for personalized radio.
Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications

Big Data is a crucial pillar for many of today’s newly emerging business models. Areas of application range from consumer analysis over medicine to fraud detection. All of those domains require reliable software. Even though imperfect results are accepted in Big Data software, bugs and other defects can have drastic consequences. Therefore, in this paper, the software engineering sub discipline of testing is addressed. Big Data exhibits characteristics which differentiate its processing software from those that process traditional workloads. Consequently, an architecture pattern for testing that can be integrated into development environments for Big Data software is proposed. The paper features a detailed description of the artifact as well as a preliminary plan for evaluation.
Knowledge Discovery from CVs: A Topic Modeling Procedure

With a huge number of CVs available online, recruiting via the web has become an integral part of human resource management for companies. Automated text mining methods can be used to analyze large databases containing CVs. We present a topic modeling procedure consisting of five steps with the aim of identifying competences in CVs in an automated manner. Both the procedure and its exemplary application to CVs from IT experts are described in detail. The specific characteristics of CVs are considered in each step for optimal results. The exemplary application suggests that clearly interpretable topics describing fine-grained competences (e.g., Java programming, web design) can be discovered. This information can be used to rapidly assess the contents of a CV, categorize CVs and identify candidates for job offers. Furthermore, a topic-based search technique is evaluated to provide helpful decision support.
Do Digital Startups Prepare for Technology Pivots? - An Initial Analysis of Job Adverts

Technology pivots help digital startups, which are operating in environments of great uncertainty, to make considerable adjustments to the technology underpinning their products. Technology pivots are resource intensive and risky endeavors, especially while growing into viable and sustainable businesses. For these reasons, a well composed team able to perform these pivots effectively is required. While existing research focuses on the identification of antecedents and consequences of technology pivots, we provide insights as to whether digital startups apply anticipatory mindsets throughout team composition, starting early with the formulation of job advertisements. We analyze the extent to which the antecedents of technology pivots form part of job advertisements published by digital startups. Performing a content analysis on 510 IT job advertisements we find very limited references to the (non-)technical antecedents of technology pivots. Our study provides the basis for research extending beyond the analysis of antecedences and consequences of technology pivots.
Challenges of the Financial Industry - An Analysis of Critical Success Factors for FinTechs

FinTechs are attracting ongoing interest in both academia and practice. With the use of techniques borrowed from grounded theory, we analyze material from 10 interviews with managers and Chief Executive Officers at FinTechs and 8 interviews with venture capitalists (VCs). We examined 15 critical success factors (CSFs) for FinTech ventures. These are divided into 9 factors that generally apply to general ventures: (1) team, (2) entrepreneur, (3) capital, (4) product/market fit, (5) idea and execution, (6) pivoting and continuous learning, (7) customer acquisition, (8) internationalization, and (9) networking. In addition, we examine 6 factors that have specific relevance to FinTech venture success, namely, (10) technological advantage, (11) regulatory knowledge, (12) B2B focus, (13) incumbent partnerships, (14) growth potential, and (15) exit options for VCs. Our study expands the literature on CSFs for FinTechs and provides recommendations for entrepreneurs to be more successful.
A Theory-Driven Framework for Modeling Temporal Online Social Networks of GitHub

Online social networks (OSNs) are becoming increasingly prevalent in human life. However, the factors that influence human behavior in OSNs are not well understood. Prior research assumes nodes in OSNs to be static and unchanged over time. Unfortunately, existing methods do not sufficiently consider important phenomena in collective social behavior. This research developed a new theory-driven framework for modeling temporal OSNs. Three models were built based on the framework to represent the effects that may possibly shape temporal online social networks. The random network model (RNM) represents randomness in the interaction among networks nodes and serves as a baseline model. Two window-based models, namely Average Aggregation Model (AAM) and Exponential Aggregation Model (EAM), represent respectively the herd effect, and the recency and primacy effects in human social behavior. To evaluate the models, we examined 42 OSNs of the GitHub software development community that committed a total of 5,499,611 events during Jan. 25-30, 2017. The results show that both EAM and AAM achieved superior performance compared with RNM. The research makes three contributions: (1) developing a new theory-driven framework for characterizing online social behavior, (2) developing and validating three models for simulating temporal OSNs using social and cognitive theories, and (3) providing empirical findings of simulating GitHub OSNs and user behavior.
From Facets to a Universal Definition - An Analysis of IoT Usage in Retail

The term Internet of Things (IoT) is widely used and discussed. However, there is still no scientifically generally valid definition and therefore no uniform understanding of the term in practice. To counteract this, we present a possibility to limit the term with the help of applications in the IoT environment. Specifically, we analyze the use of IoT along the value chain of companies by conducting a structured literature analysis.
Applied image recognition: guidelines for using deep learning models in practice

In recent years, novel deep learning techniques, greater data availability, and a significant growth in computing powers have enabled AI researchers to tackle problems that had remained unassailable for many years. Furthermore, the advent of comprehensive AI frameworks offers the unique opportunity for adopting these new tools in applied fields. Information systems research can play a vital role in bridging the gap to practice. To this end, we conceptualize guidelines for applied image recognition spanning task definition, neural net configuration and training procedures. We showcase our guidelines by means of a biomedical research project for image recognition.
Technology to Shape Social Policy: Blockchain for Targeted Poverty Alleviation in China

Poverty remains a critical problem in many developing countries. In response, ‘No Poverty’ is the first of seventeen 2030 sustainable development goal (SDG) adopted by all member states of the United Nations in 2015. Given the transparency and auditability features of blockchain, this emerging technology has been suggested as one solution for enabling the no poverty goal. Unfortunately, research on this topic is sparse. In this exploratory study, we investigate how the use of blockchain can facilitate targeted poverty alleviation using a case study of practices in the Chinese city of Guiyang. We apply Giddens’ structuration theory in the examination of the case data and find that (1) blockchain application is the outcome of structuration of structure (policies and resources) and the human agents (stakeholders); (2) blockchain enables empowerment and makes surveillance bi-directional; and (3) blockchain application is an ongoing process, with a comprehensive and dynamic viewpoint being critically important.
Individuals' Internet Security Perceptions and Behaviours: Polycontextual Contrast Between Ghana and Nigeria

The growth of internet usage is a global phenomenon with Africa not being left out. The continents access and use of the internet over the past two decades has been growing although the pace is below the global average. As the global cyberspace, if faced with the challenge of security, the African terrain is also faced with a similar challenge of ensuring safety for it increasing internet users. Internet user’s perception of security has been found to influence the behaviors of users among Chinese and Americans. This study sought to replicate Chen and Zehadis (2016) in the context of two West African countries, thus, Ghana and Nigeria. Four themes were adopted to examine internet security perceptions of thirty Ghanaian and Nigerian respondents. Findings proved there are minimal differences between Ghanaians and Nigerians in terms of the perception of threat, susceptibility to threat, self-efficacy in the face threats and taken actions.
Data Breach Risks and Resolutions: A Literature Synthesis

Despite increasing data breach vulnerabilities, we know little about how organizations effectively identify and manage data breach incidents. To address this void, we conceptualize data breach risks and resolutions by drawing on risk management theory and a literature review. We conceptualize three areas of data breach risks (data breach cause, data breach locus, and data breach impact) and three forms of data breach resolutions (prevention, containment, and recovery) with detailed instances of each. As such, we provide a theoretical foundation for researchers to develop different types of risk management models in the context of data breaches. In addition, it provides insights for how practitioners can orchestrate actions for effective data breach management based on comprehensive profiles of risk items and resolution techniques.
Understanding Data Protection Regulations from a Data Management Perspective: A Capability-Based Approach to EU-GDPR

The European General Data Protection Regulation (EU-GDPR) has entered into force in May 2018. Its emphasis on individual control and organizational accountability constitutes a new paradigm that requires changes in the way organizations manage personal data. However, organizations face difficulties when implementing EU-GDPR due to a lack of common ground between legal and data management domains. Anchored in the resource-based view theory (RBV), this paper argues that the regulation requires companies to build a dedicated data management capability. It presents a capability model that was developed in an iterative design science process, integrating both interpretation of legal texts and practical insights from focus groups with more than 30 experts and from 3 EU-GDPR projects. The paper advances the regulatory compliance management literature by translating legal data protection concepts for the IS community. It also contributes to practice by enabling organization to set-up systematic approaches towards EU-GDPR compliance.
Adoption of Mobile Pedigree as an Anticounterfeiting Technology for Pharmaceuticals in Developing Countries

One major challenge facing the pharmaceutical industry is counterfeiting, which is more prevalent in developing countries. Combating counterfeiting requires various technological approaches, and the most hailed technologies, including RFID-based ePedigrees, are too expensive for developing economies. However, mobile pedigree, which utilizes mobile phones and SMS communication, is a highly affordable, readily available, and user-friendly alternative technological approach. This research seeks to explore factors that influence the adoption of the mobile pedigree in the pharmaceutical industry in developing countries and offers a case study of four companies in Ghana using the Technology-OrganizationEnvironmental (TOE) framework. The findings establish influencing factors as relative advantage, complexity, and compatibility; strategic direction and management support; pressures from partners, competitors, associations, and regulator; and legal framework and counterfeiting threat. These factors provide guidelines for research, practice, and policy, while the study could be extended to include consumer views, other industry types and developing countries.
What Determines the Successfulness of a Crowdsourcing Campaign? A Study on Attributes of Crowdsourcing Campaigns

Due to the advent of internet-based microlabour marketplaces, crowdsourcing (CS) has risen as a prominent way to match workers and employers. However, the successfulness of these crowdsourcing campaigns on the market depends upon what factors and their combinations are used by crowdsourcing platforms to stimulate user engagement. Therefore, this study investigates what factors of CS campaign profiles (gamification, transparency, and experience) and level of monetary compensation predict crowdsourcee participation and consequent campaign success. This study analyzes data from a popular Chinese crowdsourcing platform “Xiao Yuer” of 101 crowdsourcing tasks (including successful and unsuccessful crowdsourcing campaigns) by using Structural Equation Modelling (SEM) and fuzzy set Qualitative Comparative Analysis (fsQCA). The results of the SEM analysis show that gamification is positively associated with the popularity of the campaign and further successfulness of the campaign. Furthermore, the results of the more exploratory analysis (fsQCA) reveal that four combinations of the factors sufficiently explain crowdsourcing success.
Is Somebody There? Anthropomorphic Website Design and Intention to Purchase from Online Stores

In contrast to stationary retail, online store websites are characterized by impersonality, due to the absence of a human sales representative. To diminish the high degree of impersonality and increase social presence, studies have proposed some means to increase social presence, such as chatbots, traffic indicators, or website avatars. Our study deals with anthropomorphization of online store websites as a further mean to diminish online store impersonality. We empirically investigate the effect of anthropomorphized website design on intention to purchase from online stores and how this relationship is mediated by attributing humanlike mental states to websites, increasing the perception that such a website is trustworthy. Moreover, we explore how this causal chain depends on website visitors’ feelings of social connection. Findings from a conditional process analysis show that anthropomorphic website design fosters purchase intention. This effect is especially prevalent for persons characterized by above-average loneliness.
The I in Team: IT Identity and Project Behavior

Software project failure continues to be a concern and managing risk our best hope of project success. While IS literature has investigated the role of culture in projects, such cultural work is largely limited to the management of multinational project work and focused on ethnic or national identities and their impact on enterprise-level system development. Recently, information system researchers have begun to focus on how a user’s identities—their internalization of cultural meaning—can affect adoption and use of technology, but identification with technology may also impact its development. This proposed study will examine the ways in which worker identification with the technological outcome of a project might affect risk behavior
Deficiency of emerin contributes differently to the pathogenesis of skeletal and cardiac muscles in LmnaH222P/H222P mutant mice

Laminopathies are tissue-selective diseases that affect differently in organ systems. Mutations in nuclear envelopes, emerin (Emd) and lamin A/C (Lmna) genes, cause clinically indistinguishable myopathy called Emery-Dreifuss muscular dystrophy (EDMD) and limb-girdle muscular dystrophy. Several murine models for EDMD have been generated; however, emerin-null (Emd) mice do not show obvious skeletal and cardiac muscle phenotypes, and Lmna H222P/H222P mutant (H222P) mice show only a mild phenotype in skeletal muscle when they already have severe cardiomyopathy. Thus, the underlying molecular mechanism of muscle involvement due to nuclear abnormalities is still unclarified. We generated double mutant (Emd-/-/LmnaH222P/H222P; EH) mice to characterize dystrophic changes and to elucidate interactions between emerin and lamin A/C in skeletal and cardiac muscles. As H222P mice, EH mice grow normally and have breeding productivity. EH mice showed severer muscle involvement compared with that of H222P mice which was an independent of cardiac abnormality at 12 weeks of age. Nuclear abnormalities, reduced muscle fiber size and increased fibrosis were prominent in EH mice. Roles of emerin and lamin A/C in satellite cells function and regeneration of muscle fiber were also evaluated by cardiotoxin-induced muscle injury. Delayed increases in myog and myh3 expression were seen in both H222P and EH mice; however, the expression levels of those genes were similar with control and regenerated muscle fiber size was not different at day 7 after injury. These results indicate that EH mouse is a suitable model for studying skeletal muscle involvement, independent of cardiac function, in laminopathies and an interaction between emerin and lamin A/C in different tissues.