Showing papers in "Journal of Management Information Systems in 2020"
TL;DR: A design-science research project to improve an organization’s compound problems of unsuccessful employee phishing prevention and poorly received internal security training created a gamified security training system focusing on enhancing intrinsic motivation through gamification and improving security learning and efficacy.
Abstract: We conducted a design-science research project to improve an organization’s compound problems of (1) unsuccessful employee phishing prevention and (2) poorly received internal security training. To...
87 citations
TL;DR: People perceive a more skilled CA to be more socially present and anthropomorphic than a less skilled CA, and this research advances the knowledge of computer-human interface in information systems.
Abstract: Conversational agents (CAs)—frequently operationalized as chatbots—are computer systems that leverage natural language processing to engage in conversations with human users. CAs are often operatio...
70 citations
TL;DR: This research pays special attention to the governance of blockchain systems and illustrates decision problems in 14 blockchain systems from four application domains, resulting in a better understanding of how blockchain governance links to existing concepts and how it is enacted in practice.
Abstract: Blockchain comes with the promise of being a disruptive technology with the potential for novel ways of interaction in a wide range of applications. Following broader application, scholarly interes...
63 citations
TL;DR: A laboratory experiment to test the associations between three types of cognitive load manipulations and idea convergence outcomes shows that germane cognitive load positively correlates with idea convergence quality, satisfaction with process, and satisfaction with outcome.
Abstract: Open innovation crowdsourcing enables online crowds to quickly generate a plethora of creative ideas. A key challenge is the convergence of ideas for further consideration from massive numbers of c...
41 citations
TL;DR: A novel text mining method for automatically extracting semantic soft factors from descriptive loan texts that contributed to significant improvement on credit risk evaluation in terms of both discrimination performance and granting performance is proposed.
Abstract: While Peer-to-Peer (P2P) lending is rapidly growing, it is also accompanied by high credit risk due to information asymmetry. Besides conventional hard information, soft information also enters int...
41 citations
TL;DR: This work is the first to add a multi-platform perspective on perceived working conditions in crowd work, showing that crowd workers need rather high levels of financial compensation before task characteristics become relevant for shaping favorable perceptions of working conditions.
Abstract: Crowd work reflects a new form of gainful employment on the Internet. We study how the nature of the tasks being performed and financial compensation jointly shape work perceptions of crowd workers...
38 citations
TL;DR: It is found that numeric priming had a small but significant effect on consumers’ willingness to pay when the value of the product was unclear, but had no effect when products displayed a manufacturer’s suggested retail price (MSRP) or a fixed selling price.
Abstract: Most research on e-commerce has focused on deliberate rational cognition, yet research in psychology and marketing suggests that buying decisions may also be influenced by priming (a form of what I...
35 citations
TL;DR: This work developed a framework that proposes the prominence construct as a phenomenon distinctive from engagement in its nature, formation, and behavioral outcomes and lays a strong theoretical foundation to differentiate between the behavioral paths of the autonomous prominence construct and its controlled engagement counterpart.
Abstract: Online communities have suffered from their members’ intermittent, dormant, or nonexistent participation. We propose that prominence, which refers to the salience of community members’ psychologica...
35 citations
TL;DR: It is argued that multi-level theorizing is necessary to explain the patterns of decision criteria that constitute the complex, yet boundedly-rational decision of platform participation, and imply that incentives at the ends of the pricing spectrum can increase supplier participation on digital platforms.
Abstract: Digital platforms have transformed various industries, with profound changes witnessed in settings characterized by repeated, low value, and novel transactions, such as ride sharing, household serv...
33 citations
TL;DR: The findings of this research confirm the hypotheses that IT- enabled inter-firm knowledge exploration capability and IT-enabled inter-Firm knowledge exploitation capability can help embrace the benefits of product effectiveness and surmount process efficiency challenges inherent in collaboration with distant partners.
Abstract: Collaborating with a partner in a distant area is widely endorsed in practice as a means for inspiring novel innovations. However, empirical evidence also reports significant innovation efficiency ...
33 citations
TL;DR: It is found that a contest’s reliance on crowd voting is positively associated with participation, and every 10% increase in the crowd-voting reliance can boost users’ odds of participation by about 7%.
Abstract: While expert rating is still a dominant approach for selecting winners in contests for creative works, a few crowdsourcing platforms have recently used “crowd voting” for winner selection – that is...
TL;DR: A unifying theory that consolidates different theoretical perspectives on API design is developed, by extending current knowledge on the performance effects of API design, and by empirically studying the distinct circumstances under which digital platforms facilitate economies of scope in production or in innovation.
Abstract: While many firms in recent years have started to offer public Application Programming Interfaces (APIs), firms struggle with shaping digital platform strategies that align API design with aspired b...
TL;DR: A novel convolutional neural network (CNN) is proposed to automatically extract comprehensive temporal and cross-axial motion patterns for the DTL-HID framework to address challenges such as scarce labeled data and ADL performer confusion in a multi-resident setting.
Abstract: Sensor-based home Activities of Daily Living (ADLs) monitoring systems have emerged to monitor elderly people’s self-care ability remotely. However, the unobtrusive, privacy-friendly object motion ...
TL;DR: An influx-outflow model is proposed for estimating network effects in two-sided markets and shows that this separation of effects is beneficial because the existing customers on both sides of the market can influence the acquisition and dropout of other customers asymmetrically.
Abstract: The proliferation of the Internet has enabled platform intermediaries to create two-sided markets in many industries. Time-series data on the number of customers on both sides of the markets allow ...
TL;DR: It is found that a university with centralized IT governance is associated with fewer breaches, and the effect of centralized IT Governance is contingent on the heterogeneity of a university’s computing environment: Universities with more heterogeneous IT infrastructure benefit more from centralized IT decision making.
Abstract: Despite the consensus that information security should become an important consideration in information technology (IT) governance rather than the sole responsibility of the IT department, importan...
TL;DR: Evidence is found that concrete fear appeals are more effective than abstract fear appeals for the purpose of stimulating fear-appeal outcomes and suggest that the mixed findings in the literature may be a product of message abstractness and differences among audiences.
Abstract: Information security (ISec) is a pervasive concern of individuals, organizations, and governments. To encourage individuals to engage in and learn about secure behaviors, ISec research has turned t...
TL;DR: This study builds on reinforcement theory to propose a positive role of first-time recognition as a social reinforcer of contribution behavior, while repeated recognition is hypothesized to suffer from reinforcer satiation.
Abstract: A reason for online communities to confer recognition (e.g., badges) on members is to acknowledge and encourage contributions. Yet, it is unclear whether such recognition or lack of it changes memb...
TL;DR: The GMS program presents a backdrop that allows us to address several intriguing research issues not empirically examined in prior literature, and by adopting multiple causal identification strategies, it is found that earning a reputation badge has a positive impact on sales, and losing a reputation badges has a negative impact on Sales.
Abstract: Reputation systems have been an important component for improvement of online markets’ efficiency by reducing uncertainty about the quality of the sellers. Most, if not all, reputation systems exam...
TL;DR: This work proposes a novel semi-supervised labeling technique for leveraging unlabeled data based on the lexical and structural characteristics of DNMs using transductive learning that outperforms the state-of-the-art methods in threat identification and is considered as an important step toward lowering the human supervision cost in realizing automated threat detection within cyber threat intelligence organizations.
Abstract: Dark Net Marketplaces (DNMs), online selling platforms on the dark web, constitute a major component of the underground economy. Due to the anonymity and increasing accessibility of these platforms...
TL;DR: In this article, the authors use location-based coupons to target consumers in their vicinity in real-time, and the rationale for the use of locationbased coupons is that geographic proximity increa...
Abstract: Offline retailers increasingly use location-based coupons to target consumers in their vicinity in real-time. The rationale for the use of location-based coupons is that geographic proximity increa...
TL;DR: The findings from 1,753 acute care hospitals across 30 European countries suggest that digital complementary assets have a stronger effect on telemedicine innovation adoption than the regulatory framework.
Abstract: Telemedicine innovation is important for accelerating the digital transformation of the health care sector. However, telemedicine is a discontinuous digital innovation, and incumbent health care or...
TL;DR: The findings demonstrate the prevalence of ambivalence among IS users, the dual-nature of their coping responses to ambivalent, in part, influenced by their level of neuroticism, and the associated post-adoptive IS use behaviors.
Abstract: As information systems (IS) have evolved, more sophisticated meshing of their positive and negative implications has emerged, leaving users with an increasingly ambivalent experience. Given the dis...
TL;DR: A naturally occurring quasi-experiment of 126 open and 108 closed groups within an Enterprise Social Media (ESM) system of a multinational enterprise shows that idea generation occurs when the type of social network structure—bridging or bonding—is matched to a group’s openness or closedness, respectively.
Abstract: Social network theory has produced conflicting results regarding the link between different social network structures—bridging versus bonding—and idea generation. To address this conundrum, we cond...
TL;DR: A new online-to-offline service recommendation method based on a novel customer network and service location (CNLRec) in order to help customer to choose the “ideal” O2O services from a large set of alternatives.
Abstract: We propose a new online-to-offline (O2O) service recommendation method based on a novel customer network and service location (CNLRec) in order to help customer to choose the ideal O2O services fro ...
TL;DR: The outcomes of attention, sensemaking, and threshold positively affect trust change, while most hypothesized personal perceptions of the technology do not predict trust change.
Abstract: We examine why trust change occurs when potential users first encounter news about a specific technology. We propose personal perceptions and three cognitive outcomes—attention, sensemaking, and th...
TL;DR: It is suggested that offering a menu of contract options could provide novel tools for ride-hailing companies to improve the stability and predictability of supply and alleviate some of the concerns about driver working conditions that have led to increasing calls for the regulation of ride-Hailing services to protect drivers.
Abstract: Ride-hailing platforms such as Uber offer service suppliers more flexible work conditions but lower security than permanent jobs. This study examines the preferences of ride-hailing drivers when th...
TL;DR: This study helps HCQA forums to improve the overall quality of Answers by creating an algorithmic solution that reliably measures the quality of answers, and adjusting the order of existing answers to encourage higher quality subsequent answers.
Abstract: Quality of answers in health-related community-based question answering (HCQA) forums has been a concern for both users and forum administrators. We conducted a two-phase study to better understand...
TL;DR: It is found that with the download of apps being controlled, a higher software ranking is associated with more post-adoption discontinuance of app usage, which empirically illustrates the decision deficiency of following others’ observed behavior in adopting popular software apps and supports the theoretical perspective of informational cascades.
Abstract: Informational cascades are theorized as an underlying mechanism of herding. That is, an individual, having observed the actions of those ahead of him/her, chooses to follow the behavior of the prec...
TL;DR: It is shown that under certain market conditions, the unsecure software platform targeted by hackers potentially can drive its more secure competitor out of the market.
Abstract: The number of malicious hacking incidents in our increasingly IT-enabled world has been increasing over the years. Conventional wisdom focuses on negative impacts of these malicious hacker activiti...
TL;DR: This work investigates the role of network cohesion in the relationship between social media sentiment and price changes in the Bitcoin market to hypothesize that less cohesive social media discussion networks are better at predicting the next-day returns than more cohesive networks.
Abstract: Prior studies have shown that social media discussions can be helpful in predicting price movements in financial markets With the increasingly large amount of social media data, how to effectively