When Reflection Hurts: The Effect of Cognitive Processing Types on Organizational Adaptation to Discontinuous Change

2023 | Organization Science | Citations: 1

Authors: Alves, Marlon Fernandes Rodrigues; Vastola, Vincenzo; Vasconcelos Ribeiro Galina, Simone; Zollo, Maurizio

Abstract: Technological breakthroughs, institutional disruptions, and natural disasters of ... Expand

Abstract: Technological breakthroughs, institutional disruptions, and natural disasters often alter the course of organizations and entire industries. Such discontinuous changes threaten organizations’ survival by affecting the value of the knowledge accumulated in routines and capabilities. Although it is widely acknowledged that managerial cognition is a critical antecedent of organizational responses to discontinuous change, the role of type 1 (intuitive) and type 2 (reflective) processing in the adaptation of shared patterns of behavior, that is, routines, remains understudied. Drawing on dual-process theory, we propose that particular features of type 1 processing render this approach superior to type 2 processing, especially in highly ambiguous environments in which information is limited and difficult to verify. We tested our hypotheses in a longitudinal experiment linking individual-level factors with organizational-level practices of routine adaptation. Experienced managers, paired in 80 groups, developed routines in a first round of a simulation game; in a second round, we then introduced a discontinuous change making previous routines obsolete in order to observe how they adapted. The data show that priming type 1 processing facilitates organizational adaptation more than type 2 processing by providing faster, more routinized, efficiently coordinated, and optimal responses. In addition, type 1 appears to be more functional in highly ambiguous environments, whereas type 1 and type 2 processes yield similar levels of performance under low levels of ambiguity. Overall, our study advances the understanding of the nondeliberative dimension of organizational adaptation to discontinuous change.History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory.Funding: This work was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Finance Code 001).Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2021.1517. Collapse

Topics: decision making strategic management innovation management problem solving task productivity

Methods: experiment longitudinal research parametric test ANOVA statistical hypothesis test

Theories: dual-system theory dynamic capabilities theory

Decision-Making Styles in Metaverse: Effects of Immersion and Embodiment

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Bampouni, Elpida; Xi, Nannan; Hamari, Juho

Abstract: Decision-making is a vital skill of our daily cognitive arsenal. The rise of vi ... Expand

Abstract: Decision-making is a vital skill of our daily cognitive arsenal. The rise of virtual reality (VR) worlds like the metaverse, have created a new need to investigate human behavior under a technologically novel and multisensory prism. In this study, we experimentally investigate types of decision-making in artificial realities mediated by different levels of immersion (PC monitor vs. VR HMD) and sense of embodiment (self-motion vs. self-anchored). Participants (N=183) conducted a daily-life decision-making task of financial allocation, based on evaluating either a 3D graph or 2D graph containing price information across different periods. Five decision-making styles are evaluated including Rational, Intuitive, Dependent, Avoidant, and Spontaneous. Our results indicate that decision-making styles do not differ between diverse virtual realities, and instead remain similar to the control condition. However, due to the flexible nature of decision-making it is possible that content and environmental factors are still likely to influence decisionmaking in VR experiences. Collapse

Topics: virtual reality decision making virtual world

Methods: experiment multivariate analysis of variance survey experimental group survey design

Emotion in Motion: Experiment on Affective Responses to Virtual Realities

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Bampouni, Elpida; Xi, Nannan; Hamari, Juho

Abstract: The rise of metaverse platforms pave the path for a future where many human act ... Expand

Abstract: The rise of metaverse platforms pave the path for a future where many human activities will be conducted in a virtual reality (VR). Therefore, it is necessary to investigate whether and how users emotionally respond to fully digitalized realities when conducting daily activities. In this study, we focus on two core features: immersion and sense of embodiment through self-motion. We conduct a large-scale experiment to examine the effects of virtual realities on emotional traits (PANAS). We use high (VR head-mounted-display) and low (PC monitor) immersive environments, as well as different levels of self-motion (high/low), compared to a 2D control. Students (N=183) were randomly assigned in one of 5 virtual conditions to complete a daily non-emotionally charged task. Two analyses were conducted based on the same experiment. The findings indicate that immersion and embodiment are not direct emotional elicitors on their own, and affect valence and arousal are likely content related. Collapse

Topics: virtual reality decision making extended reality virtual world

Methods: experiment multivariate analysis of variance experimental group survey parametric test

The motivation paradox: Understanding contradictory effects of awards on contribution quantity versus quality in virtual community

2023 | Information & Management | Citations: 0

Authors: Banerjee, Shankhadeep; Bhattacharyya, Samadrita; Bose, Indranil

Abstract: We use the lens of the intrinsic/extrinsic motivation theory to holistically mod ... Expand

Abstract: We use the lens of the intrinsic/extrinsic motivation theory to holistically model the effects of intangible awards on member contribution in virtual communities. Using multiple studies on Yelp, we validate that the influence of award stimuli on contribution outcomes become significantly moderated by the aspect of contribution (quantity versus quality) and the novelty of stimuli (time and repetition of awards) to interestingly form divergent (downward versus upward) yet theoretically explicable curvilinear trajectories of contribution. This study contributes to IS literature on virtual communities and social-cognitive literature on work motivation and offers insights to community managers to design better incentive systems. Collapse

Topics: online community intrinsic motivation electronic health blockchain online review

Methods: theory development ANOVA parametric test regression analysis method experimental group

Theories: motivation theory self determination theory cognitive evaluation theory

Promoting Learning Through Explainable Artificial Intelligence: An Experimental Study in Radiology

2023 | International Conference on Information Systems | Citations: 0

Authors: Ellenrieder, Sara; Kallina, Emma; Pumplun, Luisa; Gawlitza, Joshua Felix; Ziegelmayer, Sebastian; Buxmann, Peter

Abstract: The deployment of machine learning (ML)-based decision support systems (DSSs) i ... Expand

Abstract: The deployment of machine learning (ML)-based decision support systems (DSSs) in high-risk environments such as radiology is increasing. Despite having achieved high decision accuracy, they are prone to errors. Thus, they are primarily used to assist radiologists in their decision making. However, collaborative decision making poses risks to the decision maker, e.g. automation bias and long-term performance degradation. To address these issues, we propose combining findings of the research streams of explainable artificial intelligence and education to promote human learning through interaction with ML-based DSSs. We provided radiologists with explainable vs nonexplainable decision support that was high-vs low-performing in a between-subject experimental study to support manual segmentation of 690 brain tumor scans. Our results show that explainable ML-based DSSs improved human learning outcomes and prevented false learning triggered by incorrect decision support. In fact, radiologists were able to learn from errors made by the low-performing explainable ML-based DSS. Collapse

Topics: decision support system decision support explainable artificial intelligence decision making artificial intelligence

Methods: experiment qualitative interview magnetic resonance imaging parametric test ANOVA

Impact of Using Online Health Management Tools on Patient Perception of Healthcare Quality: A Multiple Chronic Conditions and Generational Perspective

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

Authors: Ghosh, Kaushik; Deokar, Amit; Sen, Sagnika

Abstract: Please cite this article as: Ghosh, K., Deokar, A. V., & Sen, S. (in press). Im ... Expand

Abstract: Please cite this article as: Ghosh, K., Deokar, A. V., & Sen, S. (in press). Impact of using online health management tools on patient perception of healthcare quality: A multiple chronic conditions and generational perspective. Abstract:While access and adoption issues related to online health management tools (OHMT) have been studied in healthcare contexts, questions remain about whether and how their use impacts patients' perceptions of healthcare. Drawing on technology affordance and media synchronicity frameworks, we explore how the existence of multiple chronic conditions (MCC) and differences in usage pattern due to patient's generation impact these relationships. Utilizing HINTS data, this study provides empirical support for a positive relationship between utilization of electronic personal health records (e-PHRs) and healthcare quality perceptions, albeit with a caveat that patients with greater healthcare needs as well as millennial and younger generations do not seem to enjoy the same benefits from increased use of e-PHRs. Furthermore, asynchronous patient-provider electronic communication is yet to achieve positive perceptions of better healthcare quality for most users. This research bears implications for personalization and customization of OHMT to account for variations in patients' healthcare needs and usage patterns. Collapse

Topics: self efficacy affordance communication service infrastructure healthcare data health information system

Methods: survey multiple regression statistical hypothesis test Levene's test descriptive statistic

Theories: media synchronicity theory

Exploring Digital Social Norms Nudges in E-Grocery: Typical Consumer Testimonials with a Warm Glow

2023 | International Conference on Business Informatics | Citations: 0

Authors: Gottschewski-Meyer, Phillip Oliver; Lüddemann, Nicole; Landwehr, Marvin Auf der; Viebahn, Christoph von

Abstract: Digitization offers several possibilities to alter consumer decisions to suppor ... Expand

Abstract: Digitization offers several possibilities to alter consumer decisions to support social concerns. The objective of this study is to examine the impact of personalized digital social norm nudges on consumer decisions enriched with the theory of warm glow on e-grocery buying decisions with the aim of supporting social projects. Specific pro-social behaviors targeted were supporting fair payment of the producers of grocery goods, social inclusion projects and initiatives against poverty by deciding for a specific choice option. A between-subjects experiment was performed with the help of a questionnaire using a mock-up mobile grocery store to measure product choices. Results showed that claims supporting pro-social initiatives have a significant impact on buying decisions. Perceived product recommendation influenced our model positively, while we had a negative price impact. The study suggests that warm glow theory and enriched social norm nudges are effective tools for behavior change towards social initiatives. Collapse

Topics: social norm crowdsourcing web page social presence artificial intelligence

Methods: experiment survey experimental group statistical hypothesis test Levene's test

Fun Shopping: A Randomized Field Experiment on Gamification

2023 | Information Systems Research | Citations: 0

Authors: Ho, Yi-Jen (Ian); Liu, Siyuan; Wang, Lei

Abstract: Gamification utilizes game-like features to engage participants, widely implemen ... Expand

Abstract: Gamification utilizes game-like features to engage participants, widely implemented in a variety of contexts. Such an IT-enabled engagement strategy serves as a marketing device to boost sales and customer loyalty. This study focuses on two significant game elements (i.e., badges and leaderboards) that promote consumer motivations and social comparisons. To qualify the impacts, we conduct a randomized field experiment at one of the largest shopping malls in Asia. In the experiment, we contrast the two elements against coupons regarding various shopping outcomes. A two-period design (consisting of the treatment and posttreatment periods) identifies the long-term behavior changes after the treatment removals. The main results suggest that badging and leaderboarding promote sales by 21.5% and 22.5% in the treatment period, respectively, whereas couponing delivers a more potent effect of 31.7%. In the posttreatment period, the gamification impacts remain significant compared with the baseline, but the influence of couponing fades out. Besides, the additional analyses document the salient heterogeneous treatment effects across demographics. We further discover the substantial differences in the within-group heterogeneity across the treatments. Specifically, badging is a balanced tool for attracting the general public, whereas leaderboarding is a double-edged sword that could encourage self-reinforcing or self-banishing. Finally, gamification brings more explorations that lead to additional sales and engagements. Overall, the robust results can be translated into actionable strategies to utilize gamification proactively.History: Ravi Bapna, Senior Editor; Yili (Kevin) Hong, Associate Editor. Collapse

Topics: gamification wireless LAN consumer behavior technology adoption user interface

Methods: experiment experimental group survey randomized field experiment parametric test

Theories: motivation theory self determination theory

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

Effective Information Infrastructures for Collaborative Organizing: The Case of Maasai Mara

2023 | Organization Science | Citations: 0

Authors: Håkonsson, Dorthe Døjbak; Larsen, Erik Reimer; Eskildsen, Jacob Kjær

Abstract: This study focuses on how collaborative organizing is achieved in a natural-reso ... Expand

Abstract: This study focuses on how collaborative organizing is achieved in a natural-resource commons, organized as an actor-oriented structure. In a framed field experiment, teams of Maasai livestock owners played a board game related to sustainable usage and preservation of a commons (in this case, grazing areas). We examine team decisions over time and draw inferences about the difference between two information infrastructures: one that enables learning about the ecosystem and one that enables shared situational awareness. We also examine the effectiveness of these information infrastructures in obtaining sustainable usage and preservation of a commons, finding that participants who are subjected to an information infrastructure that enables shared situational awareness are more effective than those subjected to an information infrastructure that only enables learning about the ecosystem. This, we argue, is because shared situational awareness enables members to address their interdependencies related to both task and knowledge interdependence. In other words, without shared situational awareness, they are less efficient at coordinating their actions, despite sharing collaborative values. Based on our findings, we argue that actor-oriented structures should be designed to include information infrastructures that specifically address members’ interdependencies. Funding: This work was financially supported by the Interacting Minds Centre (IMC). Supplemental Material: The e-companion is available at https://doi.org/10.1287/orsc.2022.1642. Collapse

Topics: information technology infrastructure situational awareness collaborative consumption open source online community

Methods: experiment chi squared test field experiment simulation qualitative interview

Theories: loss aversion