Showing papers in "Information Systems Research in 2021"
TL;DR: The authors use the SEC crackdown of stock promotion schemes in April 2017 to exam the impact of fake news on stock prices and investor attention.
Abstract: Does fake news in financial markets attract more investor attention and have a significant impact on stock prices? The authors use the SEC crackdown of stock promotion schemes in April 2017 to exam...
64 citations
TL;DR: The cognitive challenges that medical decision makers face when they receive potentially incorrect advice from AI-based diagnosis systems are uncovers and the crucial role of human actors in compensating for AI errors is spotlights.
Abstract: Systems based on artificial intelligence (AI) increasingly support physicians in diagnostic decisions, but they are not without errors and biases. Failure to detect those may result in wrong diagno...
59 citations
TL;DR: This work investigates how applying human-like characteristics to customer service chatbots can influence retail outcomes and proposes a strategy to apply these characteristics to existing chatbots.
Abstract: In this work, we investigate how applying human-like characteristics to customer service chatbots can influence retail outcomes. This is an important managerial question as creating effective chatb...
58 citations
TL;DR: Wang et al. as discussed by the authors proposed a method based on deep learning to resolve the problem of poor timeliness and missed inspections of personnel helmets, which significantly improves the accuracy compared to the YOLOv5 network model, and detection speed is 98 frames per second.
Abstract: Due to the complex background of the building site and the diverse sorts of construction personnel, relying on traditional manual inspections and video surveillance methods to detect the wearing of personnel helmets has poor timeliness and missed inspections. This article provides a method based on deep learning to resolve the above issues. First, improvement based on YOLOv5, added a functionality detection scale to allow it to get smaller targets; second, by introducing the DloU-NMS instead of NMS, DIoU also considers the overlap area and the center distance of the two boxes, making it more accurate in suppressing the predicted bounding box. The experimental results show that the proposed algorithm significantly improves the accuracy compared to the YOLOv5 network model, and detection speed is 98 frames per second, which can meet the needs of real-time detection.
40 citations
TL;DR: Using data from a crowd-lending platform, it is shown that, compared with portfolios created by crowds, a reasonably sophisticated machine-based system can outperform crowds in financial lending decisions.
Abstract: Can machines outperform crowds in financial lending decisions? Using data from a crowd-lending platform, we show that, compared with portfolios created by crowds, a reasonably sophisticated machine...
38 citations
TL;DR: This research examines whether swiping direction affects adoption and also investigates the combination of e-commerce and brick-and-mortar stores, which combine to create a more omni-channel shopping experience.
Abstract: Global e-commerce sales have experienced unprecedented growth for the past years and have reached over $2 trillion annually. One interesting phenomenon along with this remarkable growth is that gia...
37 citations
TL;DR: In the early days of computer applications in businesses, most recently reaching the stage of disruptive innovations, such as mobile payments, cryptosystems, and cryptocurrencies as discussed by the authors, such as Bitcoin and Ethereum.
Abstract: Technologies have spawned finance innovations since the early days of computer applications in businesses, most recently reaching the stage of disruptive innovations, such as mobile payments, crypt...
35 citations
TL;DR: This work shows why the best business model depends on whether consumer usage rates vary or not, and finds that when consumer variation in usage rates is intermediate, the manufacturer is surprisingly best off avoiding offering its own direct rentals option and instead, facilitating a peer-to-peer rental market where consumers can share among themselves.
Abstract: With peer-to-peer sharing of durable goods like cars, boats, and condominiums, it is unclear how manufacturers should react. They could seek to encourage these markets or compete against them by of...
32 citations
TL;DR: It is found that compliant and noncompliant behaviors can be better explained by uncovering actions that focus not only on efficacious coping behaviors, but also those that focus on frustrated users who must sometimes cope with emotions, too.
Abstract: A key approach in many organizations to address the myriad of information security threats is encouraging employees to better understand and comply with information security policies (ISPs). Despit...
27 citations
TL;DR: This research presents a novel and scalable approach called “Smart Phishing,” which addresses the challenge of knowing when and how to identify and respond to phishing attacks.
Abstract: Phishing is a significant security concern for organizations, threatening employees and members of the public. Phishing threats against employees can lead to severe security incidents, whereas thos...
24 citations
TL;DR: The results show that the mean rating of substitutive (complementary) products has a negative (positive) effect on purchasing of the focal product, and the magnitude of the spillover effects of the mean ratings of covisited (substitutive and complementary) products is significantly larger than the effects on the focalproduct.
Abstract: We study the spillover effects of the online reviews of other covisited products on the purchases of a focal product using clickstream data from a large retailer. The proposed spillover effects are...
TL;DR: With human brands or individual celebrities in fields ranging from sports to politics increasingly using social media platforms to engage with their audience, it is important to understand the key factors that contribute to social media engagement.
Abstract: With human brands or individual celebrities in fields ranging from sports to politics increasingly using social media platforms to engage with their audience, it is important to understand the key ...
TL;DR: This study examines the dynamic relationships between firm- generated content (FGC), user-generated content (UGC), traditional media, and offline light vehicle sales and finds no clear link between FGC, UGC, and traditional media sales.
Abstract: This study examines the dynamic relationships between firm-generated content (FGC), user-generated content (UGC), traditional media, and offline light vehicle sales. Data were collected from the of...
TL;DR: It is found that social ties impact the magnitude of observational learning, and this provides motivation for online retailers to generate alternative strategies for increasing product sales through social networks.
Abstract: The unprecedented growth of social network users in the last decade has resulted in significant increases in the availability of individual-specific information such as holiday pictures, mobile che...
TL;DR: Analysis of the human–robot interaction of financial-advising services in peer-to-peer lending shows that investors who need more help from robo-advisors are less likely to adopt such services.
Abstract: We study the human–robot interaction of financial-advising services in peer-to-peer lending (P2P). Many crowdfunding platforms have started using robo-advisors to help lenders augment their intelli...
TL;DR: In this article, the authors present a practice-oriented approach to trainability in practice-based learning, and propose a methodology for practice-Oriented Learning. Butchcombe et al.
Abstract: Practice-Oriented Abstract
TL;DR: This work challenges the predominant view of the positive impact of other-focus (vs. self-focus), explores the interpersonal impact of a reviewer’s attentional focus on prospective consumers who are total strangers, and reveals an important, context-specific boundary condition.
Abstract: When reviewers write online reviews, they differ in the focus of their attention: some focus on their own experiences, whereas some direct their attention to others—prospective consumers who may re...
TL;DR: In this paper, the cross-side network effects to jump-start adoption of a two-sided market platform are investigated, and the authors focus on piggybacking to expand the network effects.
Abstract: A repeated challenge in launching a two-sided market platform is how to ignite the cross-side network effects to jump-start adoption. This research note studies “piggybacking”—expanding the...
TL;DR: In this paper, an improved RRT-Connect algorithm is proposed to improve the smoothness and security of the path for the home service robot in ROS, where the path transition area uses parabolic transition to smooth the path, the obstacles are surrounded by a ball model and the safe distance is calculated to improve robot's working process.
Abstract: Path planning is one of the important research fields of service robots. However, each path plan algorithm has its advantages and disadvantage. Path planning for home service robot arms in ROS usually uses bidirectional fast extended random tree(RRT-Connect) algorithm. However, due to the operation principle of the algorithm, there are many redundant path points and the smoothness and security of the path are poor. The idea of the improved algorithm is to delete redundant nodes to simplify the path, the path transition area uses parabolic transition to smooth the path, the obstacles are surrounded by a ball model and the safe distance is calculated to improve the safety of the robot's working process. The simulation results show that the improved algorithm plans a simpler, smoother and safer path for the home service robot arms.
TL;DR: Public news provides rich information about firm operations and market dynamics and learning about firm interactions from news is commonly done by human investors but has not been realized by automati...
Abstract: Public news provides rich information about firm operations and market dynamics. Learning about firm interactions from news is commonly done by human investors but has not been realized by automati...
TL;DR: This paper contextualize the bystander intervention framework and repository framework and explains the rationale behind their existence and application in the context of social media harassment.
Abstract: Social media harassment, a cyberbullying behavior, poses a serious threat to users and platform owners of social media. In this paper, we contextualize the bystander intervention framework and repo...
TL;DR: Crowdsourcing is a new way for online crowds to get involved in a company’s research and development process and businesses can host public contests on online platforms (such as Kaggle, Topcoder, and ...
Abstract: Crowdsourcing is a new way for online crowds to get involved in a company’s research and development process. Businesses can host public contests on online platforms (such as Kaggle, Topcoder, and ...
TL;DR: In this article, monetary incentives are shown to either increase or decrease user-generated content (UGC) contributions, and the empirical evidence shows that monetary incentives do not increase the number of contributions.
Abstract: Many platforms use monetary incentives to encourage user-generated content (UGC) contributions. The empirical evidence, however, is contradictory: monetary incentives are shown to either increase o...
TL;DR: This paper argues that DSB risk cannot be mitigated by one executive alone, but, rather, is a shared leadership responsibility of the top management team (TMT) (i.e., Chief Executive Officer, Chief Financial Officer, and Chief Information Officer).
Abstract: Data security breaches (DSBs) are increasing investor and regulator pressure on firms to improve their IT governance (ITG) in an effort to mitigate the related risk. We argue that DSB risk cannot b...
TL;DR: This study focuses on ordinal fit, a type of fit attribute that can be ordered on a scale, e.g. the size of apparel, and the difficulty level of courses, and examines the impacts of two types of fit information – fit valence and fit reference and a reviewer’s ordinal-fit attribute and her choice of the product‘s fit attribute – on returns of apparel goods.
Abstract: Product fit uncertainty is cited as one of the top reasons for high online product return rates. Fit describes how well a product suits a consumer’s needs. The value of a product drops sharply when it deviates from a customer’s ideal fit. In this study, we focus on ordinal fit, a type of fit attribute that can be ordered on a scale, e.g. the size of apparel, and the difficulty level of courses. By leveraging a change in the product review system at an online retailer, we examine the impacts of two types of fit information – fit valence (an overall evaluation of a product’s ordinal-fit attribute) and fit reference (a reviewer’s ordinal-fit attribute and her choice of the product’s fit attribute) – on returns of apparel goods. Using the lens of advice-taking, we reveal the important role of the context of fit opinions (i.e. fit reference) in facilitating shoppers to better interpret fit valence by enabling effective ordinal-fit adjustment and, consequently, reducing product returns.
We employ a predictive analytics framework for counterfactual prediction via the Generalized Synthetic Control method to address endogeneity issues and shed light on the dynamic treatment effect. Our findings indicate that fit valence alone can lower product returns only in a limited situation – when the majority of reviewers agree on the fit valence. In other cases – when either the fit valences are inconsistent or far and few between, it is the combination of fit valence and fit reference that lowers product returns. With the availability of both types of fit information, similar reviewers play an important role in helping improve the accuracy in ordinal-fit adjustments. Yet, albeit less effective, information from reviewers with dissimilar body sizes can also help make useful ordinal-fit adjustments. Besides, shoppers appear to benefit from both positive and negative fit valences, as long as they are aided by fit reference. Our empirical insights are relevant to many situations where ordinal-fit attributes dominate consumers’ product evaluation process. Accordingly, we provide useful implications for online sellers grappling with high product return rates.
TL;DR: In order to deliver real-time feedback to support employee development and rapid innovation, many companies are replacing formal review-based performance management with systems that enable frequen...
Abstract: In order to deliver real-time feedback to support employee development and rapid innovation, many companies are replacing formal review-based performance management with systems that enable frequen...
TL;DR: The results showed that the proposed IT solution improved consumers’ perceived procedural justice, interactive justice, and distributive justice and increased their psychological comfort in using the application design and in turn reduced their privacy concerns, enhanced their privacy awareness, and increase their information disclosure intentions and actual disclosure behavior in practice.
Abstract: Companies face a trade-off between creating stronger privacy protection policies for consumers and employing more sophisticated data collection methods. Justice-driven privacy protection outlines a...
TL;DR: Results show that descriptive norms (i.e., informing the completion rates of the assignments) lead to higher probabilities of assignment completion and a shorter time to completion, while a deadline reminder in the form of a planning prompt has a surprisingly counterproductive effect, if students’ active course load is low.
Abstract: Massive online open courses (MOOCs) are a booming phenomenon in the digital era. However, the online nature of educational delivery via MOOCs creates every opportunity for digital distraction and p...
TL;DR: This study uses data of the online reviews for a firm to study consumer engagement and consumer perception after the release of the game on its associated businesses and finds that restaurants associated with Pokémon Go do indeed enjoy a higher level of customer engagement and more positive consumer perception.
Abstract: Augmented reality (AR)–based applications have been growing in prominence. Pokemon Go, one of the most popular AR game applications, has been engaging in strategic partnership with businesses. The ...
TL;DR: This model examines how network interconnectivity affects interactions between an incumbent platform serving multiple markets and an entrant platform seeking to enter one of these markets and finds that the presence of network effects is likely to decrease the entrant’s profit.
Abstract: Digital technologies have led to the emergence of many platforms in our economy today. In certain platform networks, buyers in one market purchase services from providers in many other markets, whe...