AIS Electronic Library (AISeL)
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Company-Multi-Digital Scholar Collaborative Framework Driven by Resource-based View for Patent Co-Development
No full textAcademic patents hold significant commercial value. To promote their commercialization, many technology transfer platforms recommend relevant patents to companies. However, companies still need to find time to communicate with busy university scholars who invented these patents, which slows down the transfer process and hinders potential co-development opportunities. Previous research has focused on human-AI one-on-one interactions between students or scholars and digital scholars, which doesn\u27t work well for the one-to-many interactions needed in academic patent transfer. To address this, we proposed a company-multi-digital scholar collaborative framework with a resource-based view communication template. This framework uses a Large Language Model-based agent system, and the communication template focuses on 11 resource-based view factors. Companies can work with multiple digital scholars through this template to improve collaboration. We conducted a field experiment to test and validate the effectiveness of the proposed framework
The Data Sharing Strategies for Smart Aged Care Service Platforms: A Quadrilateral Evolutionary Games
No full textThe aging population in China intensifies pressure on healthcare systems, prompting the adoption of smart aged care service platforms to enhance service quality and efficiency. However, challenges like data security, collaboration gaps, and stakeholder conflicts hinder progress. The study employs a quadrilateral evolutionary game model to analyze data-sharing strategies among government agencies, platform managers, service providers, and recipients. Numerical simulations reveal that a robust value co-creation ecosystem can reduce reliance on regulatory enforcement, while preventing improper behavior by service providers is crucial for maintaining trust. Dynamic subsidy and punishment mechanisms further support sustainable platform development. The findings offer a theoretical framework and practical recommendations for optimizing data-sharing strategies, aiding policymakers and platform managers in fostering a resilient and efficient smart aged care ecosystem
More than the Content Itself: Understanding the Impact of Content Characteristics and Linguistic Styles on Idea Implementation in Collaborative Innovation Communities
No full textCollaborative innovation communities, with their vast repositories for user innovative ideas, provide firms with rich and diverse external knowledge for open innovation. While implementing user innovative ideas is crucial for driving innovation, existing research has overlooked the impact of content and linguistic characteristics on idea implementation likelihood. Drawing upon innovation management research as well as communication and linguistic studies, this study proposes a research model that examines the effects of both content characteristics (functionality-proposing ideas vs. experience-sharing ideas) and linguistic characteristics (concreteness, readability, and socialness) on idea implementation likelihood. Through validating the research model with 43,359 user innovative ideas in the MIUI community, we uncover that functionality-proposing ideas are more likely to be implemented than experience-sharing ideas. Furthermore, both idea readability and socialness positively moderate this relationship. This study contributes to the growing open innovation literature and provides practical implications to both idea contributors and organizations hosting collaborative innovation communities
Information Strategy in Platform Competition
No full textDigital platforms face intense competition where information strategy becomes crucial for value creation. We develop a novel competition-based information value framework examining how competitive dynamics influence the effectiveness of different information cues (factual, emotional, and attractiveness) in platform environments. Analyzing 1.4 million projects from a leading crowdfunding platform, we find that in competitive environments, factual cues negatively impact performance while emotional and attractiveness cues contribute positively. As competition intensifies, the influence of content-based cues diminishes while contextual attractiveness cues become increasingly crucial. Conversely, in less competitive settings, factual cues enhance performance while emotional cues show inhibitory effects. This framework advances platform strategy theory by revealing how competitive intensity shapes optimal information strategies, offering practical guidelines for platform participants to enhance their performance through strategic information design
Exploring Digital Units in Organizations: A Comprehensive Taxonomy for Research and Practice
No full textIn today’s rapidly evolving business landscape, digital transformation and the accompanying (digital) innovation has become a crucial factor in achieving organizational success, acting as an external force that compels companies to adapt and evolve. Consequently, many organizations are creating specialized entities called digital units to manage and drive their digital transformation endeavors effectively. Within the scope of the present study, digital units are understood as entities engaging with digital transformation or digital innovation in any form. The paper seeks to characterize these entities at a general level, addressing a gap in the absence of a comprehensive taxonomy. By presenting a taxonomy, the paper contributes to an expanded and refined understanding of digital units and their role in realizing digital transformation within organizations. Additionally, this framework serves as a valuable guide for researchers and practitioners, by offering insights into successfully navigating digital transformation
How Government Policies Shape IT Spending and Innovation in Startups and Incumbents in India
No full textUnlike developed economies, where firms formulate and execute their strategies based on competitive dynamics, firms in emerging economies often craft their strategies and plan their discretionary expenditures in response to government policies. This research proposes an examination of the impact of government initiatives on startups\u27 and incumbent firms\u27 IT resources and innovation. We intend to use IT spending and firm performance data from CMIE Prowess and innovation data from Google Patents to analyze differences in spending and performance patterns between startups and incumbents across various industry sectors from 2015 to 2023. We expect the findings to complement prior work on determinants of IT spending and effects of IT investments on firm performance by considering the role of the regulatory environment, which has not received as much attention
IS LEADERSHIP EDUCATION FOR SUSTAINABLE INNOVATION AND DIGITAL TRANSFORMATION: EFFECTIVENESS AND CHALLENGES
Full text linkThe rapid growth of AI is enabling new capabilities for organizations in knowledge management and requiring new worker capabilities in value creation. New generative AI capabilities can facilitate improved data quality and better worker support. However, best practices for effective and safe use of generative AI are still being established. Scholars must continue to develop their curriculum and pedagogy to prepare students for these new challenges. This panel focuses on educating members for Sustainable Leadership positions in IS within the context of Digital Innovation and Transformation, utilizing the framework that encompasses Digital Strategy and Enterprise Architecture
DESIGNING BEHAVIOUR CHANGE SUPPORT SYSTEMS TARGETING STUDENTS\u27 LEARNING BEHAVIOUR
Full text linkEspecially in Germany, nowadays, large-scale lectures accompanied by hybrid learning activities build the default learning scenario in higher education. This fosters the need for students to regulate their learning process on their own, as it is nearly unfeasible for lecturers to support students individually. However, students are increasingly overwhelmed with the resulting flexibility of learning without any instructional support and guidance. This study argues that behaviour change support systems can be beneficially used to guide students towards effective learning. In this work, the design science research methodology is applied in order to derive generic design principles for learning behaviour change support systems and the developed design knowledge is instantiated into a chatbot prototype. The evaluation of the design principles in an online survey with 27 master students demonstrates the chatbot’s potential to change students’ learning behaviour towards self-regulated learning
The Impact of Generative AI Transparency and Explainability on Decision Performance
Full text linkGenerative AI (GenAI) assistant applications purport to increase employee productivity and decision performance in complex tasks. However, the opaque nature of the underlying transformer architecture often leads to inefficient task flows. These inefficiencies force professionals into long cycles of response evaluation and prompt revision, potentially increasing cognitive load and leading to subpar performance and utility from GenAI use. In this study, we explore how AI transparency and explainability impact perceived understanding of and user reliance on AI and on cognitive load in organizational decision-making. In a within-subjects experiment, participants performed demand forecasting in a simulation using GenAI assistants that varied in transparency and explainability levels. This study’s findings and method of configuring GenAI assistants extend conceptual understanding of transparency and explainability and provide practical insights for designing effective GenAI assistants
Technocognitive Structuration: Modeling the Role of Cognitive Structures in Technology Adaptation
Full text linkThe way we use technology both shapes and is shaped by our environment. These same technologies also shape and are shaped by our cognitive structures. While several existing theories explain individuals’ adaptations of technology, these theories typically focus on social and behavioral dynamics, with little attention on how technology adaptation changes individuals’ internal representations and associations. This is an important oversight to address, given that contemporary technologies such as social media, big data, artificial intelligence, and wearable devices are known to impact how we process information and conceptualize problems. In this study, we extend the adaptive theory of structuration for individuals (ASTI) to create a theory of technocognitive structuration. Technocognitive structuration proposes that exploitative and exploratory cognitive adaptations mediate how technology adaptations impact task adaptations. We tested this mediating effect using an online experiment, supported by a series of pilot studies and illustrations. The results support the proposed mediating role of cognitive adaptation. These findings challenge existing research on technology adaptation and suggest that not only is cognitive adaptation an important phenomenon to study in its own right but it may also be an important element to consider when making causal claims about other outcomes linked with technology adaptation