Measuring the Actual Office Workspace Utilization in a Desk Sharing Environment Based on IoT Sensors

2023 | DESRIST | Citations: 0

Authors: Arz von Straussenburg, Arnold F.; Blazevic, Mevludin; Riehle, Dennis M.

Abstract: Businesses that follow the trend of flexible work arrangements with home offices ... Expand

Abstract: Businesses that follow the trend of flexible work arrangements with home offices and hybrid work models are increasingly utilizing desk sharing to allocate available desks in the office efficiently. In this work, we investigate the utilization of flexible work arrangements, specifically the implementation of desk sharing in hybrid work models. To optimize the occupancy rate of shared desks and simultaneously meet demand and save costs, it is crucial to have real-time knowledge of their availability which can be obtained by recording occupancy over time. We utilize the Design Science Research (DSR) methodology to develop a prototype solution for real-time monitoring of shared desks occupancy in hybrid work models. The proposed prototype is a low-cost solution utilizing Internet of Things (IoT) technology consisting of a motion sensor and accelerometer that collect occupancy data and transmit it via Long Range Wide Area Network (LoRaWAN). Signal processing utilizing cloud computing is employed to enhance the quality and accuracy of the data, which is subsequently made available through a web dashboard. The prototype’s effectiveness is evaluated through a small-scale pilot deployment in a real-world environment over a two-week period, with reference values obtained during periods of non-use serving as a benchmark for the evaluation. Collapse

Topics: mobile system internet of things digital dashboard application programming interface smart wearable device

Methods: design artifact wearables based research design science experiment descriptive statistic

Virtual Collaboration, Organizations and Networks (VCONs)

2023 | HICSS | Citations: 0

Authors: Cogburn, D.; Espinosa, J.; Clark, M.; Nordbäck, E.

Abstract: This minitrack for HICSS-56 highlights the continued importance and growth of g ... Expand

Abstract: This minitrack for HICSS-56 highlights the continued importance and growth of geographically distributed collaboration and telework in organizations and networks. The ongoing global COVID-19 pandemic has greatly accelerated this practice in most private, public, and non-profit organizations and reignited interest in this critically important area of research and practice. The minitrack explores several questions related to virtual collaboration, telework and networks, using a wide variety of research methods and approaches. Collapse

Topics: digital ecosystem remote work IT supported collaboration pandemic JavaScript

Methods: qualitative interview survey literature sample case study

Grade-O-Matic: A Tool to Test and Grade Programs

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Doyle, Mart; Shafer, Jeremy

Abstract: To improve learning in higher education, the primary focus should be on engagin ... Expand

Abstract: To improve learning in higher education, the primary focus should be on engaging students in a process that best enhances their learning--a process that includes feedback on the effectiveness of their learning efforts. " [Kolb & Kolb, 2005] If that is true of most subjects of higher education, it is doubly so for teaching programming in the college classroom. Learning programming and related topics requires experience and personal commitment. It requires effort, often prolonged effort, over time. Unfortunately, students (and business students in particular) regularly seek ways to minimize their investment of time and maximize their grade outcome. [Parks-Leduc, et. al., 2022] The only recourse for MIS/IS instructors is, then, to create graded programming assignments with a variety and quantity sufficient to coerce students into investing the time necessary for learning. However, grading student programs is a labor-intensive responsibility for faculty members. It is tedious and error prone. Grading programs consistently and in a timely manner is often a challenge for faculty members. Delays in graded feedback are detrimental to student learning. This paper presents an innovative tool called Grade-O-Matic. It can be used by both students and instructors to grade programs quickly and in large quantities. By using the Grade-O-Matic tool, faculty members can assign more graded programming assignments, and students can get immediate feedback on their work before turning it in to be graded. This paper describes the Grade-O-Matic tool, and its creation, from its inception to its current state using terminology of the Design Science Research Methodology (DSRM) [Peffers, et. al., 2007]. The distinctives of the tool, and how it is different from similar efforts, are noted.The paper concludes with anecdotal evidence to support the claim that the tool, and the immediacy it affords, supports student learning. Also noted are generalized principles that may support future efforts. Collapse

Topics: Python JavaScript

Methods: survey design science

Criteria Based Evaluation of Cross-Platform Development Frameworks

2023 | HICSS | Citations: 0

Authors: El Tom, Ali; Bogdan, Cristian; Majchrzak, Tim A.; Grønli, Tor-Morten

Abstract: Cross-platform development frameworks continue to play an important role in deve ... Expand

Abstract: Cross-platform development frameworks continue to play an important role in developing of mobile applications. There are a plethora of possible frameworks to choose between, and all claim to give developers an advantage in one or more aspects of the development cycle. To further shed light on this area, our research investigates the selection of mobile cross-platform frameworks by investigating criteria and methods for choosing the best suitable framework for the development context. Our study confirm previous research findings and with that anchor the categorisation for a cross-platform comparison taxonomy. Our research further contribute with a criteria check-list to apply for cross-platform framework selection and showcase its use through a comparative study of a cross-platform application implemented in two frameworks. Although showcasing novelty in the criteria checklist, further research is needed to make the checklist robust and streamlined for public use. Collapse

Topics: mobile application Android iOS JavaScript programming language

Methods: cross sectional research literature study

Extended Generativity Theory on Digital Platforms

2023 | Information Systems Research | Citations: 2

Authors: Fürstenau, Daniel; Baiyere, Abayomi; Schewina, Kai; Schulte-Althoff, Matthias; Rothe, Hannes

Abstract: The assumption that generativity engenders unbounded growth has acquired an almo ... Expand

Abstract: The assumption that generativity engenders unbounded growth has acquired an almost taken-for-granted position in information systems and management literature. Against this premise, we examine the relationship between generativity and user base growth in the context of a digital platform. To do this, we synthesize the literature on generativity into two views, social interaction (expansion of ecosystem boundaries) and product view (expansion of product boundaries), that jointly and individually relate to user base growth. Both views help us explain how opening a platform relates to the emergence and resolution of conflicting expectations in a platform ecosystem that result in new functions and expanded use. We adopt a panel vector autoregressive approach combining data from six large transaction platforms that engaged with open-source developer communities. We found that the dominant narrative of generativity engendering growth, although generally supported by our analysis, obscures the fact that the inverse is also true; that is, growth can lead to expansion of product boundaries (inverse generativity) and that generativity can be bounded; that is, growth can stabilize ecosystem boundaries (bounded generativity). Against this background, we propose an extended generativity theory that presents generativity and growth in an integrative view and raises awareness about the limitations of the “unbounded growth” claim. We conclude that there is value in separating the two views of generativity conceptually and analytically, along with their relationship to user base growth, and we call for research on the pathways through which generativity produces growth. History: Ola Henfridsson, Senior Editor; Robert Wayne Gregory, Associate Editor. Collapse

Topics: digital platform innovation management open source electronic commerce accounting

Methods: longitudinal research Granger causality time series analysis Student's t-test parametric test

Play to get Instant Feedback – Using Game-Based Apps to Overcome the Feedback Gap in Lectures and Online Teaching

2023 | Communications of the Association for Information Systems | Citations: 0

Authors: Hobert, Sebastian; Berens, Florian

Abstract: COVID-19 accelerated the digital transformation in education worldwide. Within ... Expand

Abstract: COVID-19 accelerated the digital transformation in education worldwide. Within a short time frame of several weeks, a full digital transformation took place. In the meantime, however, the trend of this rapid digital transformation seems to be reverting and rolling back to face-to-face teaching and traditional teaching methods. In this article, we aim to show that digital teaching approaches cannot be exclusive to online teaching but should be considered important even after returning to face-to-face teaching. In particular, we focus on improving feedback in large-scale educational settings. We observe that providing and receiving appropriate feedback on learning and teaching activities is challenging independent of the specific teaching setting (in-class or online). This is particularly problematic because feedback is essential in the learning processes. To address this, we combine the concepts of learning analytics and gamification to design a lecture game app that can be used (1) to motivate students to participate in formative assessments, (2) to collect learning-related data, and (3) to analyze this data to provide instant feedback. After integrating the lecture game in different settings, we conclude that digital tools can be useful independent of the specific learning setting.Sebastian Hobert is a professor for AI and education at TH Lübeck -University of Applied Sciences. During this research he was a postdoctoral researcher at the University of Goettingen. He works in the interdisciplinary field of information systems, computer science, and human-computer interaction. In his research, he mainly focuses on technology-enhanced learning, including chatbot-based digital tutors, learning analytics, and AI-based methods to support teaching and learning. He is particularly interested in conceptualizing, designing, and evaluating software artifacts in innovative fields of research.Florian Berens is a postdoctoral researcher at the Hector Research Institute of Education Sciences and Psychology at the University of Tuebingen. During this research he was a PhD-candidate at the Center of Methods in the Social Sciences at the University of Goettingen. The core of his research is the measurement of attitudes and beliefs in statistics education and, in particular, the investigation of their consequences for learning. For this purpose, he uses multiple methodological approaches, but especially learning analytics. Technology-enhanced learning becomes both a teaching and research interest, in which he focuses on software design and students' usage behavior. Collapse

Topics: user experience online learning system gamification mobile application video conference

Methods: survey descriptive statistic simulation self reported survey Levene's test

Bringing Light into the Dark - Improving Students’ Black-Box Testing Competencies using Game-Design Elements

2023 | International Conference on Information Systems | Citations: 0

Authors: Jokisch, Christine; Hobert, Sebastian; Schumann, Matthias

Abstract: As software becomes increasingly complex, there is a growing need to enhance qu ... Expand

Abstract: As software becomes increasingly complex, there is a growing need to enhance quality assurance in software engineering. However, the lack of qualified human resources is a barrier to performing software testing activities in software companies. At the same time, software testing can be considered a tedious task and is often not done at the necessary level of detail, e.g., designing test cases. However, it is crucial for novice programmers and testers to acquire and improve their testing competencies, and to utilize testing techniques, e.g., black-box testing. Teaching software testing is often based on theoretical instructions, resulting in limited practical experience. As a result, students may not develop the necessary testing mindset, highlighting the need for more extensive software testing education. To address this issue, this paper utilizes a design science research approach to implement a gamified learning system that promotes black-box testing competencies with empirical insights from a field test. Collapse

Topics: online learning system usability perceived usefulness gamification web application

Methods: design artifact testing descriptive statistic correlation analysis design science survey

Theories: self determination theory cognitive load theory

Cyber threat detection: Unsupervised hunting of anomalous commands (UHAC)

2023 | Decision Support Systems | Citations: 0

Authors: Kayhan, Varol O.; Agrawal, Manish; Shivendu, Shivendu

Abstract: The cyber security industry is rapidly adopting threat hunting as a proactive to ... Expand

Abstract: The cyber security industry is rapidly adopting threat hunting as a proactive tool for early and faster detection of suspected malicious actors. In this paper, we propose a machine learning-based method, Unsupervised Hunting of Anomalous Commands (UHAC), to detect text-based anomalous commands in security information and event management (SIEM) logs that are good candidates for threat hunting. A unique feature of the proposed method is that it first creates a feature set based on the augmentation of document-term and document-character matrices. Then, an autoencoder-based detector is trained on this feature set using a custom loss function. UHAC consis­ tently outperforms other feature sets and algorithms such as one-class support vector machine, density-based spatial clustering of applications with noise, and word-embedding based models such as word2vec. The UHAC detector identifies 84–89% of anomalies in the top 10% of the data. Findings have implications for cybersecurity analysts who perform threat hunting in SIEM logs for process auditing on endpoint devices. Collapse

Topics: IT security artificial intelligence Python decision support system email phishing

Methods: autoencoder data transformation DBSCAN anomaly detection machine learning

Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments

2023 | Information Systems Research | Citations: 0

Authors: Khern-am-nuai, Warut; Hashim, Matthew J.; Pinsonneault, Alain; Yang, Weining; Li, Ninghui

Abstract: Password-based authentication is the most commonly used method for gaining acces ... Expand

Abstract: Password-based authentication is the most commonly used method for gaining access to secured systems. Unfortunately, empirical evidence highlights the fact that most passwords are significantly weak, and encouraging users to create stronger passwords is a significant challenge. In this research, we propose a theoretically augmented password strength meter design that is guided by the elaboration likelihood model of persuasion (ELM). We evaluate our design by leveraging three independent and complementary methods: a survey-based experiment using students to evaluate the saliency of our conceptual design (proof of concept), a controlled laboratory experiment conducted on Amazon Mechanical Turk to test the effectiveness of the proposed design (proof of value), and a randomized field experiment conducted in collaboration with an online forum in Asia to establish proof of use. In each study, we observe the changes in users’ behavior in response to our proposed password strength meter. We find that the ELM-augmented password strength meter is significantly effective at addressing the challenges of password-based authentication. Users exposed to this strength meter are more likely to change their passwords, leading to a new password that is significantly stronger. Our findings suggest that the proposed design of augmented password strength meters is an effective method for promoting secure password behavior among end users.History: Alessandro Acquisti, Senior Editor; Pallab Sanyal, Associate Editor.Funding: The authors gratefully acknowledge financial support from the Social Science and Humanities Research Council of Canada (SSHRC) [Grant 435-2018-0605].Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1125. Collapse

Topics: password website data security electronic authentication application programming interface

Methods: experiment survey laboratory experiment experimental group field experiment

Theories: elaboration likelihood model

Trends and Trajectories in the Software Industry: implications for the future of work

2023 | Information Systems Frontiers | Citations: 0

Authors: Laato, Samuli; Mäntymäki, Matti; Islam, A. K.M. Najmul; Hyrynsalmi, Sami; Birkstedt, Teemu

Abstract: In this study, we explore prominent contemporary technology trajectories in the ... Expand

Abstract: In this study, we explore prominent contemporary technology trajectories in the software industry and how they are expected to influence the work in the software industry. Consequently, we build on cultural lag theory to analyze how technological changes affect work in software development. We present the results from a series of expert interviews that were analyzed using the Gioia method. Moreover, we identify a set of technology trends pertinent to software development from which we derive four main changes affecting the future of work in software development: (1) a shift toward scalable solutions, (2) increased emphasis on data, (3) convergence of IT and non-IT industries, and (4) the cloud as the dominant computing paradigm. Accordingly, this study contains insights into how technology (as an element of material culture) influences non-material culture, as exemplified by the work involved in software development. Collapse

Topics: systems development devops cloud computing software developer low code development platform

Methods: qualitative interview deep learning theory development grounded theory constant comparative analysis