61 research outputs found
Ethical Management of Artificial Intelligence
No full textWith artificial intelligence (AI) becoming increasingly capable of handling highly complex tasks, many AI-enabled products and services are granted a higher autonomy of decision-making, potentially exercising diverse influences on individuals and societies. While organizations and researchers have repeatedly shown the blessings of AI for humanity, serious AI-related abuses and incidents have raised pressing ethical concerns. Consequently, researchers from different disciplines widely acknowledge an ethical discourse on AI. However, managers—eager to spark ethical considerations throughout their organizations—receive limited support on how they may establish and manage AI ethics. Although research is concerned with technological-related ethics in organizations, research on the ethical management of AI is limited. Against this background, the goals of this article are to provide a starting point for research on AI-related ethical concerns and to highlight future research opportunities. We propose an ethical management of AI (EMMA) framework, focusing on three perspectives: managerial decision making, ethical considerations, and macro- as well as micro-environmental dimensions. With the EMMA framework, we provide researchers with a starting point to address the managing the ethical aspects of AI
Planning factors in municipal bikesharing network design: A qualitative study
No full textUrban mobility planning is increasingly characterized by the pressure to establish low-emission, space-efficient, and socially inclusive transport services. One such planning task for decision-makers in public institutions is the efficient design of bicycle-sharing networks. This study examines the factors that influence decision-making in this process, both among practitioners and within the research literature on decision support systems (DSS). Employing a dual approach of academic literature review and 16 qualitative interviews with public sector planners, we identify and compare different dimensions of key factors affecting location choice. The results reveal significant contrasts, for instance, between the emphasis placed by academic researchers on ensemble optimization of quantifiable factors and the more target-complex, intuitive approaches pursued by public planning practitioners. We blend core characteristics from both perspectives in a synthesis analysis. We argue that future efforts should aim for more vertical planning assistance, citizen involvement for diversified demand indications, integration of local factors into DSS, and standardized data formats to enable better DSS integration. Our study offers a rare qualitative insight into a complex choice problem faced by public decision-makers, linked with predominantly quantitative research
Towards an Integrative View on Design Science Research Genres, Strategies, and Pivotal Concepts in Information Systems Research
No full textDesign science research (DSR) has been established as an essential part of information systems research. DSR can provide artificial solutions and prescriptive knowledge about how to solve problems relevant to our modern times. However, DSR has been reported to be in a state of "conceptual confusion." Thus, an ongoing and open discourse regarding how to overcome the causes of this confusion has arisen. Several causes and solutions have been proposed, ranging from conceptualizations of contributions, publication schemas, to the formulation of research strategies and genres. Prominently, the persisting confusion frequently leads editors and reviewers to assess the same study's merit substantially differently, depending on the individual editor's and reviewer's understanding of and preferences for DSR. Consequently, publishing DSR studies is challenging. Against this background, we propose DSR focus as a two-dimensional characteristic of a DSR study, comprising the two dimensions "contribution" and "research approach." Furthermore, we present a DSR focus matrix (DSRFM) as a framework and tool to describe the DSR focus of a study and identify relevant seminal work. Following this framework enables a grounded discussion with editors and reviewers, thus preventing diverting understandings and preferences that may skew the assessment of a study. We demonstrate this ability by positioning research strategies, genres, and seminal works within the matrix's quadrants
Promoting Business Trip Ridesharing with Green Information Systems: A Blended Environment Perspective
No full textMobility Need-Adaptive Housing Platforms: The Benefit of a Commute Time Search Feature
No full textThe growing influx of people to urban areas has resulted in a tense housing market in many places, making the search for a suitable residence an increased challenge. Dedicated online platforms facilitate this process and offer two distinct approaches to find suitable accommodations concerning its location. Traditionally, users can search for a general area like a city to narrow down the results displayed. Additionally, some platforms offer searches based on the maximum commute time between apartments and points of interest. This paper investigates the benefit such approaches yield concerning technology acceptance and the fit of the task and information representation. Thus, a prototypically implemented online platform with and without a commute time search feature was evaluated in an online experiment. The treatment specification achieved significantly better results in terms of information quality and technology acceptance, implicating that such a design should be preferred for websites that facilitate the search for apartments. These insights can contribute to an enhanced understanding of visual system design to reduce the negative sustainability impacts of traffic induced by a divergence of residential and workplaces
The Colors of Performance – Assessing the Impact of Color-Coding on Worker Behavior in Retail Order Picking
No full textAdvanced technologies are introduced in warehouse operations, rendering the interplay between human worker behavior and information systems (IS) a critical issue. We investigate how IS supports manual order picking by studying how visual color-coding information on picking locations provided through personal digital assistants accelerates search and picking tasks. Considering real-world data on a storage system where 20 dissimilar items are stored together at one picking location, we apply a log-logistic accelerated failure time model with N=112,672 picks performed by N=190 workers and find that color-coding accelerates the picking process by up to 17.28%. To increase the internal validity of our field-based examination, we conduct one VR experiment (N=29 participants) providing evidence for an acceleration of 23.74%, and one online experiment (N=178 participants) indicating an acceleration of 24.29%. Based on an innovative method of triangulation, we demonstrate how IS can influence picker behavior and discuss how to better design IT artifacts
The Virtual Online Supermarket: An Open-Source Research Platform for Experimental Consumer Research
No full textIt is controversially discussed if and which interventions policymakers should implement to promote healthier, more sustainable, and more ethical food choices. Often, policy measures suffer from a lack of data. This is especially true for the growing field of online grocery shopping. Yet, it not always feasible to test the impact of each possible policy intervention in the field. Here, computer-simulated shopping experiments offer a complementary approach. Recent evidence suggests that they heighten the realism of consumer experiments and collect valid data at a relatively low cost. In this paper, we introduce an open-source toolset that offers multiple avenues to develop and run experiments in the context of online grocery shopping. Hence, it supports researchers and policy makers in evaluating instore-intervention aiming to support more sustainable food choices
Toward replication study types for design science research
No full textIn design science research, two important challenges exist to achieve greater influence in research and practice: (1) foster frequent reuse of artifacts and design theories and (2) increase knowledge accumulation in the field. In this article, we argue that replication studies could support the accumulation and development of design theories to reach a state that encourages reuse of artifacts and design theories. However, it is unclear precisely how replication relates to design science research—that is, what outcomes replication produces and how researchers should apply it within design science research. This study proposes three overarching research questions ( Does the artifact provide utility? Is the design theory complete? What design theory components fit a larger context?) and eight categories for replication studies in design science research (Test, Redesign, Justification, Adaptation, Explanation, Update, Recreation, and Meta-Replication). We offer guidance to researchers, editors, and reviewers on how to conduct replication studies in design science research and why such studies are so critical. Our goal is to provide “food for thought” on the significance of design science research replication studies and, in turn, help facilitate their widespread implementation and publication. We conclude our study by highlighting areas for further discussion and investigation, such as defining replication procedures and conceptualizing genuine replication goals within design science research.In design science research, two important challenges exist to achieve greater influence in research and practice: (1) foster frequent reuse of artifacts and design theories and (2) increase knowledge accumulation in the field. In this article, we argue that replication studies could support the accumulation and development of design theories to reach a state that encourages reuse of artifacts and design theories. However, it is unclear precisely how replication relates to design science research—that is, what outcomes replication produces and how researchers should apply it within design science research. This study proposes three overarching research questions ( Does the artifact provide utility? Is the design theory complete? What design theory components fit a larger context?) and eight categories for replication studies in design science research (Test, Redesign, Justification, Adaptation, Explanation, Update, Recreation, and Meta-Replication). We offer guidance to researchers, editors, and reviewers on how to conduct replication studies in design science research and why such studies are so critical. Our goal is to provide “food for thought” on the significance of design science research replication studies and, in turn, help facilitate their widespread implementation and publication. We conclude our study by highlighting areas for further discussion and investigation, such as defining replication procedures and conceptualizing genuine replication goals within design science research
Fostering Information Security Compliance: Comparing the Predictive Power of Social Learning Theory and Deterrence Theory
No full textFostering Information Security Compliance: Comparing the Predictive Power of Social Learning Theory and Deterrence Theory
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