Miracle-dz/UniFAR-FTUs huggingface dataset:
(Re)considering the Concept of Reproducibility of Information Systems Literature Reviews

Literature reviews play a key role in information systems (IS) research by describing, understanding, testing, and explaining the constructs and theories within a particular topic area. In recent years, various commentaries, debates, and editorials in the field’s top journals have highlighted the importance of systematicity and transparency in creating trustworthy literature reviews. Although also recognized as being important, the characteristic of reproducibility of IS literature reviews has not received nearly the same level of attention. This paper seeks to contribute to the ongoing discussion on the elements required for high quality IS literature reviews by clarifying the role of reproducibility. In doing so, we find that the concept of reproducibility has been misunderstood in much of the guidance to authors of IS literature reviews. Based on this observation, we make several suggestions for clarifying the terminology and identifying when reproducibility is desirable and feasible within IS literature reviews.
Digitalisierung in der Stressprävention - eine qualitative Interviewstudie zu Nutzenpotenzialen

Stress gilt als Verursacher zahlreicher Erkrankungen, wenn er nicht mit ausreichend Entspannung und Ruhe im Gleichgewicht steht. Dauerstress und Burnout nehmen stetig zu, weshalb die Notwendigkeit für Prävention und Stressmanagement steigt. Digitale Technologien ermöglichen neue Methoden präventiven Stressmanagements, allerdings sind die Nutzenpotenziale entsprechender Systeme weitgehend unerforscht. Diese Untersuchung schließt die Forschungslücke mittels einer qualitativen Interviewstudie. Dafür wurden 15 teilstandardisierte Interviews geführt, die vier verschiedene Perspektiven (Krankenkassen, Leistungserbringer, Privatwirtschaft, Nutzer) beinhalten. Aus ihnen wurden Nutzenpotenziale digitaler Stressmanagementsysteme aggregiert, die sich in die zwei entwickelten Kategorien Verbesserung der medizinischen Versorgung und Verbesserung der Inanspruchnahme unterteilen lassen. Die Interviews ergaben, dass digitale Stressmanagementsysteme diverse Nutzenpotenziale besitzen und einen Beitrag zur Gesundheitsversorgung leisten können. Sie können niedrigschwellig in Anspruch genommen werden, stärken die Eigenständigkeit und Selbsthilfe der Nutzer und bieten innovative Ansätze, übermäßigen Stress zu erkennen und adäquat darauf zu reagieren.
Potential Impact of Artificial Intelligence on Mental Well-Being

Artificial Intelligence (AI) will result in job replacement and job elimination. Some AI technologies, such as self-driving vehicles, have the potential to disrupt existing industries. Self-driving trucks may replace the 3.5 million truck drivers in the US. Scholars at Oxford University estimated that no less than 47% of American jobs and 54% of those in Europe are at a high risk of being taken over by machines. Routine, repetitive, and predictable jobs are expected to be automated (Siau, 2018). Although new jobs will be created, the unemployment rate may go up in the short term and the emergence of a “useless class” (i.e., permanently jobless) (Harari 2016) is a real possibility. PwC predicted that about seven million existing jobs could be displaced by AI from 2017-2037, but about 7.2 million jobs could be created. Many of these “expected” new jobs, however, are not in existence yet. The impact of AI on human mental well-being is a grave concern to many. Studies showed that joblessness has an impact on human health conditions. Psychologists found that involuntary joblessness and mental health have a connection in many ways, such as incomplete psychosocial development and feelings of helplessness. Researchers stressed that it is time for our measurement system to shift emphasis from measuring economic production to measuring human well-being. Traditionally, mental well-being has been characterized as the absence of psychological illness. Current research on well-being has been derived from two general perspectives: the hedonic (i.e., feeling good) and eudaimonia (i.e., functioning well) (Ryan and Deci, 2001, Keyes and Annas, 2009). Previous studies on joblessness are not related to AIinduced joblessness. This research studies the differences between the impact of joblessness induced by AI versus other reasons. Further, this study would answer three questions: 1) What is the difference between the impact of temporary joblessness and that of permanent joblessness? 2) How would temporary joblessness induced by AI affect human mental well-being? And 3) How would permanent joblessness induced by AI affect human mental well-being? The research methodology combines quantitative and qualitative approaches. Survey and interviews were conducted. Ryff’s scale and WEMWB scale are adopted and adapted. The preliminary results show that with temporary joblessness, participants tend to feel upset and frustrated, and they have a strong will of finding a new job. With permanent joblessness, participants tend to feel desperate and helpless, and some of them prefer to adopt new hobbies. Further analysis shows that those participants with higher education level are less worried about the impact of AI. To prepare for the AI future, participants believe that they need to find a career that is irreplaceable by AI. Continuous learning, be financially prepared, and have an open mind are also mentioned by participants.
Citizen-Government Ecosystem for Smart Technology Enabled City Performance

Cities are ambitiously investing information technologies (IT) to improve their performance and to become smart cities. Compared to traditional IT, smart technologies such as the Internet of Things (IoT) enable users to collaboratively sense, adapt, and engage in various activities within their environment. However, to create public value with these smart technologies and to realize smart technology-enabled city performance, citizen engagement and public sector cooperation are also very important. This study argues that smart technologies could increase smart city performance through both citizen engagement and public sector cooperation. We adopted archival data of 75 smart cities to test our hypotheses. The findings support our citizen-government ecosystem proposal. This study provides a new concept to understand the relationship between citizens and public sectors as well as the consequent city performance in the smart technology context, offering insight for public management on how to use the IT strategically.
The Information Technology Reporting Structure and Firm Performance: A Configurational Approach

With the increasing recognition of the strategic role of information technology (IT) in modern organizations, prior studies have called for a direct reporting relationship between the IT head and the chief executive officer. Unlike prior studies that focus on the effect of IT reporting on firm performance, we propose a configurational lens to assess how several factors, such as firm size, industry, IT investment intensity, and the strategic role of IT in a firm, combine to determine IT reporting structure that yields high performance. Viewing firms as configurations based on different combinations of contextual causal conditions, we examine the optimal IT reporting structure for different configurations by using a configurational approach and a corresponding method, the fuzzy-set qualitative comparative analysis. We discuss implications for research and practice.
The Power of Knowledge: A Literature Review on Socio-Technical Perspectives on Organizational Knowledge Management

In a fast-moving world with complex organizational structures and geographic dispersion of employees, an efficient management of knowledge and related systems is crucial for an organizations’ competitive advantage. In this paper we examine social and technological aspects that influence how individuals can be motivated to share and create knowledge by conducting a systematic literature review. As a result, we present a holistic view on the social and technical perspectives of the organizations’ knowledge management thereby outlining the need for an integrated consideration of these two dimensions. Moreover, we place actual social developments and innovative technologies in the context of this research field and outline the need for future academic discussions.
Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research

The emergence of global networks also results in the occurrence of systemic risks that might affect the stability of the overall system. To cope with these risks, this workshop on the “Control of Systemic Risks in Global Networks” provides a platform for the collection and discussion of innovative approaches, methods, and theories but also of practical problems from the areas of simulation, artificial intelligence, operations research, and statistics. This enables the exchange of experiences and methods between scientists and practitioners.
A Systematic Literature Mapping on Interorganizational Information Systems

Organizations increasingly need to establish partnerships with other organizations to face environment changes and remain competitive. This interorganizational relationship allows organizations to share resources and collaborate to handle business opportunities better. However, besides all benefits, organizations usually face several challenges. Organizations should consider many factors, but appropriate methods, techniques and tools that support these organizations to identify what is relevant and necessary for the partnership are still required. Moreover, there are open challenges concerning different ICT areas, among which to think over issues regarding the interorganizational information systems (IOIS) development. The present research explores the ICT support to interorganizational relationships. To this end, a systematic mapping was performed to understand what is an IOIS and how these systems support interorganizational relationships. A discussion about the findings, challenges and open issues identified from the retrieved literature is also provided to guide further work.
Innovation Networks and Digital Innovation: How Organizations Use Innovation Networks in a Digitized Environment

The digital transformation dramatically lowered the costs for communication and coordination, thus, enabling new forms of cooperation. Companies seize this opportunity by creating new types of innovation networks. Until now, we know little about which types of innovation networks are currently prevalent and why organizations use them. In this paper, we build upon a recent study dealing with categorization of innovation networks and present the results of an exploratory series of case studies conducted with 27 high-level executives from 11 organizations in various industries. Our results indicate that companies are maintaining high-levels of centralized control over the innovation network, which is contrary to what the literature suggests. Furthermore, there is a strong trend towards more heterogeneous knowledge within a network. Additionally, we identify mechanisms that help companies to transition from one type of innovation network to another one and investigate why organizations use certain innovation networks.
Looking Through the Twitter Glass: Bridging the Data - Researcher Gap

Social media data provides researchers with insight into how social media platforms are used, and how they shape the lives of their respective users. While exploring and analyzing data has vast research potential, the process for doing so is tedious, time-consuming, and difficult, especially for non-technical researchers. In most cases, researchers require funds and technical personnel to even begin exploring data-related ideas. For those that do have the resources, low quality and high latency data is typically the end result. To decrease the overall gap between the data and the researcher, we propose a method and prototypical web-based system that utilizes Twitter’s latest API offering to enable researchers to collect high quality data themselves at minimal cost. The system has been evaluated through multiple implementations at multiple universities. Our initial findings are positive, indicating that our design and prototype alleviate the major issues faced by non-technical researchers collecting social media data.
Dual Information Systems: A Review Of Factors Affecting Their Use

More and more information systems (IS) are designed to address a blend of hedonic and utilitarian purposes, and hence become what information system scholars call today “dual systems. ” The aim of this research is chiefly to provide a holistic perspective for research done regarding dual IS (i.e., what factors affect users’ adoption and post-adoption of these systems) in order to assess the state of knowledge in this area and to provide a reference point for system designers. To achieve this goal, we started out with a systematic literature review (35 articles), and analyzed the articles in terms of their theoretical background, constructs and findings. The results suggest that there is an increasing number of systems that are regarded as dual (e.g., gamified services, virtual worlds) and that the influential factors can be grouped according to the three dimensions of IS artefacts: information artefact, information technology artefact and social artefact.
Crowdsourcing Platforms: Objective, Activities and Motivation

This article analyzes the relationship that exists among the objectives of crowdsourcing platforms, the types of activities they demand from crowdsourcees and the incentives they provide to obtain collaboration. The 136 platforms that appeared in two previous SLRs carried out by the authors to categorize the types of activities performed and the motivation offered in crowdsourcing projects were separated in seven groups, according to the objective of the activities performed by the crowdsourcees. Microtask activities are present in over 40% of the platforms, showing that individuals may be motivated to collaborate, without developing commitment or even identification with the objectives of the promoting organization. The “financial reward” or the "love" factor is usually the prevailing motivation factor. However, those two factors tend to be mutually exclusive.
The Impact of IT Boundary Spanners' Activities on Citizens' Perception of Smart IT Services and Smart IT Projects Success

Delivering smart IT projects involves a great number of actors collaborating and sharing knowledge with one another to launch smart IT projects and roll out smart IT services. Thus, this makes a new social milieu of boundary-spanning activities carried out by IT functions of a city and IT firms on complementing and delivering smart IT services. While boundary-spanning activities within organizational contexts have been well-studied, few researchers have examined the activities of boundary spanners across organizations in a municipal context. We draw on the concept of boundary spanning to investigate how the actions of IT functions facilitate the delivery of smart projects. This study aims at exploring how IT functions and societal stakeholders collaborate with each other, and educate citizens on the use of smart services. Therefore, it makes more likely for citizens to engage in using smart IT services, thereby resulting in smart IT project success.
How accurate is accurate enough? - An Evaluation of Commercial Fitness Trackers for Individual Health Management

Despite their extensive functionality in the area of physiological data collection and high user adoption, commercial fitness trackers are rarely used in a medical context to improve costly patient care. Therefore, this paper investigates under which circumstances fitness trackers are applicable to give reasonable behavior change advice for patient’s individual health management. To do so we defined daily routine application scenarios and evaluated the accuracy of 15 commercial fitness trackers in a field study for step count, continuous heart rate and sleep duration measurement. In this context we conclude that the sensor technology of the devices is partly accurate enough, depending on the test scenario and device. To effectively enhance individual health management, we suggest a definition of context-aware application scenarios and standardized procedures for accuracy tests. However, the challenges of the current devices regarding susceptibility to outliers and low software and hardware transparency need to be considered.
'Show Me Your People Skills' - Employing CEO Branding for Corporate Reputation Management in Social Media

Digitization has led to increased social media utilization among companies to connect with their customers. We know that particularly CEOs, as the representing face of a company, can exert great influence to build corporate reputation. While reputation management in general has been researched extensively, we know little about the dimensions of CEO reputation management in social media. This paper deals with the distinction of organizational and personal branding in Twitter, and moreover, aims to determine eligible dimensions for CEO reputation management, based on the widely accepted Reputation Quotient. Therefore, we collected 3,604 social media postings of companies and their respective CEOs from Twitter. Through statistical and content analyses, we determined two supplementary dimensions for CEO reputation. Shared Interests and Personal Logging add private aspects to the spectrum of CEO reputation management, which have the capacity to foster consumer engagement.
Individual and Family Sustainability: The Measure-Model-Entertain-Transform Approach

The Sustainable Development Goals (SDGs) proposed by the UN have become central to the vision and mission of national institutions, corporate enterprises, and governments (Kates, Parris, & Leiserowitz, 2005). Although many SDGs has social issues at their core, unfortunately individuals and families are neglected in main stream sustainability discussions. However, individuals and families are the basic unit of society and their sustainability is as important as the organization, industry, and country level sustainability. The key of sustainable transformation of individual and family is balancing the various life dimensions, such as health, wealth, career, family, social relationships, and personal development. It is well understood that these life dimensions are interrelated. However, existing systems do not support sustainable transformation, nor do they allow individuals and families to examine interrelationships and impacts between life dimensions. Modelling holistic interrelationships between life dimensions can educate people to make sustainable decisions and ultimately transform their lives. Modelling and simulation can transform us by describing our current life situations, explaining how life dimensions impact each other, and predicting how our lives can be changed (Rouse & Morris, 1986). One critical challenge is to provide personalized, persuasive education that leads to transformation. To address this challenge, we propose the “measure-model-entertain-transform” approach as illustrated below. We believe that we cannot manage what we don’t measure, and we cannot understand and transform what we don’t model. Hence, measuring individuals and families on various life dimensions and modelling their interactions are at the heart of the approach. Even if we measure and model if we cannot persuade individuals to change and adapt through entertainment, education will be of no avail nor will transformation occur. Thus, we propose serious games and gamification as the third and critical step leading to education and transformation. We have implemented 4 proof of concept prototypes that support each step of the approach and are in the process of validating them.
Remixing Generic Defaults with Specialized Software: The Case of Enterprise Collaboration Systems

Extant literature emphasizes the fit between tasks and technology features to impact performance. Specialized information systems such as Enterprise Collaboration Systems (ECSs) are designed to align with the tasks of collaboration, coordination, and communication in organizations. Despite this fit, users often continue to use generic default technologies (i.e., general purpose software such as an Excel spreadsheet) to perform the tasks that are supported by the specialized systems. We investigate this phenomenon using a multiple case study approach. We present our initial findings and elaborate on the emerging theme of remixing of generic defaults with specialized software as a new perspective in exploring this phenomenon.
Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services

In recent years organizations have started utilizing big data and advanced analytics not just to support decision-making to raise process efficiencies, but also to engage in new data-driven services. These data-driven services complement the current product and service portfolio and create additional value for customers. In order to capture the value created, organizations need to design sustainable revenue models consisting of a revenue (how) and pricing (how much) mechanism. In order to develop a deeper understanding of one part of the decision-making process on revenue models, we apply a qualitative study and analyze the results through the lens of rational choice theory. Based on the interviews, we derived four factors – service characteristics, provider interests, customer interests, and market factors - influencing the design. By this, we contribute to the general understanding of the design of revenue models and enable further investigation into this field of research.
Scapular Dyskinesia, the forgotten culprit of shoulder pain and how to rehabilitate

The improper movement of the scapula during shoulder movement is termed scapular dyskinesis and is an often-forgotten cause of pain and dysfunction. The scapula is a key part of the upper limb kinematic chain and is a vital component of the glenohumeral rhythm; which is a major determinant of the efficiency and efficacy of the upper limb. We provide an overview of the complex regional anatomy of the shoulder girdle and how this allows the scapula to act as a both a dynamic and static stabilizer to the upper limb. We explore the normal biomechanics and the aetiology, epidemiology and pathological occurrences which can disrupt the normal function and lead to scapula dyskinesis. Scapula dyskinesis is a poorly understood condition and provides a challenge for the clinician in both diagnosis and management. We provide a summary of the clinical assessment which is most likely to identify the source of the pathology and guides the treatment which is largely rehabilitation of the musculature with focused and specialized physiotherapy.