Robo-advisors and investment intention: A perspective of value-based adoption

2023 | Information & Management | Citations: 0

Authors: Hong, Xianpei; Pan, Liwei; Gong, Yeming; Chen, Qian

Abstract: Financial robo-advisors have been widely used to assist individuals in their inv ... Expand

Abstract: Financial robo-advisors have been widely used to assist individuals in their investment decisions, making it important to reduce uncertainties in the assistance process. Existing empirical studies rarely explore uncertainty reduction strategies and their implications on users’ investment intentions in the context of financial roboadvisors; our study attempts to address this gap. We construct a model to explain how uncertainty reduction strategies affect users’ investment intention in using financial robo-advisors. By collecting and analyzing a sample of 307 financial robo-advisor users, we find that algorithmic interpretability, structural assurance, and interactivity as uncertainty reduction strategies are positively related to users’ investment intention through the value-based adoption mechanism. Our research extends the value-based adoption model and uncertainty reduction theory in the financial robo-advisor context. We provide insights to financial robo-advisor service providers about focusing on improving algorithmic transparency, third-party assurance, and interactivity of financial robo-advisors to enhance perceived value and investment intention. Collapse

Topics: robo advisor privacy artificial intelligence usage intention organizational productivity

Methods: survey computational algorithm factor analysis statistical hypothesis test structural equation modeling

Theories: uncertainty reduction theory

Toward a campus crisis management system amid the pandemic and beyond

2023 | Information & Management | Citations: 0

Authors: Li, Yaojie; Zhou, Yi; Ge, Linqiang; Chen, Rui; Xiong, Jie

Abstract: This study develops artifact and design principles for a campus-wide crisis mana ... Expand

Abstract: This study develops artifact and design principles for a campus-wide crisis management system amid the COVID19 pandemic and beyond. Drawing upon crisis management literature and the uncertainty reduction theory, we develop a preliminary crisis management system with three fundamental components: dashboard, portal, and forum, geared toward aggregating environmental information, expert knowledge, and stakeholder insights. This immediate, integrated, and interactive campus crisis management system aims to promote organizational learning through knowledge acquisition, dissemination, and utilization while reducing stakeholders’ uncertainty about the crisis. Through comprehensive evaluation, we further synthesize and summarize new design principles for prospective artifacts, including constructing a distributed crisis management network, capitalizing on data mining and knowledge discovery algorithms, and developing the adaptability of the crisis management system in various circumstances. Collapse

Topics: emergency management pandemic organization learning digital dashboard usability

Methods: design principle design science design artifact machine learning kernel theory

Theories: uncertainty reduction theory organizational learning theory theory of abduction

From Opaque to Accountable Governance: Investor Activism for Transparency in Social Media Amid Disruption in Cryptocurrency

2023 | International Conference on Information Systems | Citations: 0

Authors: Myeong, Jaeho; Jung, Miyeon; Auh, Seigyoung; Han, Sang Pil

Abstract: ... Expand

Abstract: Collapse

Topics: Twitter social media cryptocurrency blockchain Bitcoin

Methods: proportional hazards model survival analysis mediation analysis longitudinal research econometric modeling

Theories: uncertainty reduction theory

Feedback types and users’ behavior in online innovation contests: Evidence of two underlying mechanisms

2023 | Information & Management | Citations: 0

Authors: Yan, Jie (Kevin); Benbya, Hind; Leidner, Dorothy E.

Abstract: Online innovation contests (OIC) provide companies, via a dedicated community, a ... Expand

Abstract: Online innovation contests (OIC) provide companies, via a dedicated community, an important means to access remote knowledge and ideas of users and thereby a creative playground for fueling innovation. Our literature review shows that our understanding of the impact of diverse types of feedback on user participation, especially continued participation, and success in OIC is at a nascent stage. The present study therefore seeks to examine why and how different types of feedback influence users’ behavior in OIC, and the detailed mechanisms un­ derlying such influences. While our results do not show a significant relationship between receiving peer dy­ namic feedback and user success, we find that receiving sponsor static feedback in users’ first submission is positively associated with their continued participation in OIC. Also, when compared to peer dynamic feedback, sponsor static feedback has a stronger effect on users’ continued participation. Our goal is to confer a holistic picture of how the timing, source, and form of feedback shape user continuous participation and success in OIC. Collapse

Topics: participatory design user success crowdsourcing innovation management systems design

Methods: design methodology literature study proportional hazards model survival analysis statistical hypothesis test

Theories: uncertainty reduction theory lemon market theory

Get your report a thumb-up: An empirical investigation on crowd testing

2022 | Decision Support Systems | Citations: 0

Authors: Cai, Jingxuan; Ke, Dan; Wu, Jiang; Luo, Xin (Robert)

Abstract: Crowd testing has been increasingly adopted as a marketing strategy for e-Retail ... Expand

Abstract: Crowd testing has been increasingly adopted as a marketing strategy for e-Retailers. However, scant academic research empirically addresses the performance of crowd testing from either the platform's or crowd testers' perspectives. This study aims to investigate the determinants of the usefulness of crowd testing reports in order to theoretically demonstrate the significance of crowd testing strategy, especially for new product promotion. We integrated text mining and regression to test the research model using the data extracted from a crowd testing website, Dealmoon.com. The analysis results show that the crowd testers' credibility and the testing report's information quality both play significant roles in the usefulness of crowd testing reports. Furthermore, the presence of peer testers' reports on the focal product moderates the effect of information quality on the report's usefulness. The research findings provide managerial implications for marketing practitioners to implement the crowd testing strategy effectively and for crowd testers to create useful testing reports. Collapse

Topics: crowdsourcing data quality perceived usefulness marketing management website

Methods: data transformation principal component analysis natural language processing robustness check computational algorithm

Theories: uncertainty reduction theory technology acceptance theory

Flourish or Perish? The Impact of Technological Acquisitions on Contributions to Open-Source Software

2022 | Information Systems Research | Citations: 0

Authors: Chen, Wei; Jin, Fujie; Xue, Ling

Abstract: This study examines the impact of technological acquisitions on contributions to ... Expand

Abstract: This study examines the impact of technological acquisitions on contributions to firm-sponsored community-based open-source software (OSS). We distinguish between internal contributors affiliated with target firms and external contributors from the community, and examine how they respond to technological acquisitions differently. Theoretically, we examine how technological acquisition influences contributors’ uncertainty about project quality through a signaling effect and influences their uncertainty about project continuity through potential resource combination. We connect uncertainties with contributors’ motivations to theorize their responses to acquisitions. Empirically, we find that external contributors contribute more actively to both target firms’ sponsored projects and other projects in the OSS community after acquisitions, which contrast with the adverse effects of acquisitions observed in traditional corporate innovation. Although internal contributors reduce contributions to target firms’ sponsored projects after acquisitions, they increase contributions to other OSS projects in the community. We also find that the acquirer’s OSS experience and the project similarity between the acquirer and the target drive both external and internal contributors to shift their development efforts to the acquirer’s projects and other projects in the OSS community. By examining these effort shifts in OSS contributions, our study generates unique theoretical insights about the impacts of technological acquisitions in the OSS context and important practical implications for acquirers, target firms, and the general OSS community. Collapse

Topics: innovation management database system electronic mail absorptive capacity online community

Methods: experimental group robustness check instrumental variables estimation theory development longitudinal research

Theories: uncertainty reduction theory

Smart Tourism Technologies’ Ambidexterity: Balancing Tourist’s Worries and Novelty Seeking for Travel Satisfaction

2022 | Information Systems Frontiers | Citations: 0

Authors: Goo, Jahyun; Huang, C. Derrick; Yoo, Chul Woo; Koo, Chulmo

Abstract: Tourists deal with two intrinsic, uncertainty-driven attributes of travel, touri ... Expand

Abstract: Tourists deal with two intrinsic, uncertainty-driven attributes of travel, tourist worries and novelty seeking, that simultaneously affect their transaction and travel experience satisfaction. Rapid technological advances coupled with uncertainties caused by momentous events such as COVID-19 highlight the increasing significance of smart technologies in the tourism industry. This study explores the relationships between novelty and worries and travel satisfaction, as well as examines how tourists enhance their quality of trips with the use of smart tourism technologies. We find the tourists’ novelty seeking would enhance the trip experience, leading to overall travel satisfaction. In contrast, tourist worries, particularly in trip planning, would negatively affect tourists’ transaction satisfaction, which in turn impacts the overall travel experience satisfaction. As a moderator in its ambidextrous role, smart tourism technologies help tourists to develop a sense of novelty when planning and visiting a destination and mitigate the worries emanated from the uncertainty of transaction made during the pre-trip planning. Insights and implications of such findings are discussed for both theory and practice. Collapse

Topics: usability personalization information exchange self efficacy website

Methods: survey theory development partial least squares regression partial least squares path modeling PLS tool

Theories: uncertainty reduction theory

Psychological empowerment and user satisfaction: Investigating the influences of online brand community participation

2022 | Information & Management | Citations: 5

Authors: Hsieh, Sara H.; Lee, Crystal T.; Tseng, Timmy H.

Abstract: The exponential growth of online brand communities has created a platform where ... Expand

Abstract: The exponential growth of online brand communities has created a platform where empowered consumers can share knowledge and experiences and participate in community activities. Drawing from psychological empowerment theory, this study proposes a comprehensive framework integrating both social and functional views to investigate the determinants that enhance psychological empowerment and user satisfaction, which consequently influence online brand community participation. By shedding light on the explanatory path routes and highlighting the underexplored and distinctive role of psychological empowerment, this study provides theoretical contributions to illustrate how an enabling environment can be cultivated to drive consumer participation in brand value co-creation. Collapse

Topics: user satisfaction data quality system quality word of mouth online community

Methods: survey partial least squares path modeling design methodology theoretical contribution PLS tool

Theories: uncertainty reduction theory

Introduction to the Mini-Track “The Sharing Economy”

2022 | HICSS | Citations: 0

Authors: Xiao, Bo; Abhari, Kaveh

Abstract: ... Expand

Abstract: Collapse

Topics: crowdfunding sharing platform crowdsourcing usability social media

Theories: uncertainty reduction theory

How Do Customers Respond to Robotic Service? A Scenario-Based Study from the Perspective of Uncertainty Reduction Theory

2021 | HICSS | Citations: 0

Authors: Lin, Yanqing; Zhou, Xun; Fan, Wenjie

Abstract: Confronted with an increasing popularization and advancement of applying artific ... Expand

Abstract: Confronted with an increasing popularization and advancement of applying artificial intelligence in robotic technology, practitioners in the service sector have been increasingly deploying service robots in their operations. Motivated by a paucity of knowledge on how consumers would respond to the robotic service, this study establishes on the uncertainty reduction theory to advance a research model that seeks to unveil how both customer trait and service characteristic affect customers' revisit intention to robotic service via perceived risk. Based on a scenario-based experiment with 190 responses in the hotel reception service context, our results reveal that perceived risk partially mediates the relationship between personal innovativeness and service revisit intention, so does between service heterogeneity and revisit intention. Furthermore, the service context, i.e., whether the prior service experience satisfies the customer, can moderate the relationship between personal innovativeness (service heterogeneity) and perceived risk. This study also draws related theoretical and practical implications. Collapse

Topics: robotic technology adoption

Methods: structural equation modeling survey experiment survey design PLS tool

Theories: uncertainty reduction theory