Varol O. Kayhan

The Differential Performance Effects of Healthcare Information Technology Adoption1

Abstract This article examines the relationship between the adoption of healthcare information technology (HIT) and a hospitals operational performance. Combining primary survey data from Florida hospitals and secondary data from two government agencies responsible for hospital certification and licensing, the authors find differential performance effects for different clusters of HIT: administrative, clinical, and strategic. Only clinical HIT investments were found to have a statistically significant positive effect on operational performance.

Cross-bidding in simultaneous online auctions: Antecedents and consequences

Cross-bidding is a new strategy used in online auctions. The bidder simultaneously monitors several identical auctions, taking advantage of their price differential. We examined the determinants and outcomes of cross-bidding behavior and the contingent factors that shape it. Using empirical data, we demonstrated that cross-bidders can realize significant price discounts compared to non-cross-bidders; the number of experienced bidders in an auction market contributes to more cross-bidding; and this effect is positively moderated by market liquidity of the product being auctioned.

Seeking health information on the web: Positive hypothesis testing

PURPOSE The goal of this study is to investigate positive hypothesis testing among consumers of health information when they search the Web. After demonstrating the extent of positive hypothesis testing using Experiment 1, we conduct Experiment 2 to test the effectiveness of two debiasing techniques. METHODS A total of 60 undergraduate students searched a tightly controlled online database developed by the authors to test the validity of a hypothesis. The database had four abstracts that confirmed the hypothesis and three abstracts that disconfirmed it. RESULTS Findings of Experiment 1 showed that majority of participants (85%) exhibited positive hypothesis testing. In Experiment 2, we found that the recommendation technique was not effective in reducing positive hypothesis testing since none of the participants assigned to this server could retrieve disconfirming evidence. Experiment 2 also showed that the incorporation technique successfully reduced positive hypothesis testing since 75% of the participants could retrieve disconfirming evidence. CONCLUSION Positive hypothesis testing on the Web is an understudied topic. More studies are needed to validate the effectiveness of the debiasing techniques discussed in this study and develop new techniques. Search engine developers should consider developing new options for users so that both confirming and disconfirming evidence can be presented in search results as users test hypotheses using search engines.

The nature, dimensionality, and effects of perceptions of community governance

The concept of community governance is examined as a verification process in wikis.Community governance consists of community credibility and community vigilance.Perceptions of community governance are positively related to content usefulness.Content usefulness is positively related to content use from wikis. Wiki technology enables organizational members to collectively verify content and increase the accuracy, relevancy, and legitimacy of contributions. This is referred to as community governance in this paper. The goals of this paper are to understand the nature and dimensionality of the perceptions of community governance construct, operationalize it, and examine its role in content use from wikis. Data analyses show that perceptions of community governance can be measured as a second-order construct with two first-order factors: community credibility and community vigilance. Further, perceptions of community governance are positively associated with content usefulness, which explains content use from community-governed wikis.

Situational Privacy Concerns and Antecedent Factors

ABSTRACT This study examines the factors that contribute to context-based, or situational, privacy concerns drawing upon the theoretic lens of attribution theory. We posit that situational privacy concerns develop through individuals’ causal explanations of prior privacy incidents in addition to their trait-like, or dispositional, privacy concerns. Analysis of data from 156 participants confirms the significance of the relationships between a number of antecedent constructs and situational privacy concerns. The hypotheses developed to test these relationships were all supported through partial least squares, as were the psychometric properties of the scales used. The results further our understanding of context-based privacy concerns, particularly the mechanics of attribution in blaming, and holding online service providers responsible for privacy transgressions. Insights into situational privacy concerns help online service providers handle and ameliorate these concerns.

A Data Snapshot Approach for Making Real-Time Predictions in Basketball

This article proposes a novel approach, called data snapshots, to generate real-time probabilities of winning for National Basketball Association (NBA) teams while games are being played. The approach takes a snapshot from a live game, identifies historical games that have the same snapshot, and uses the outcomes of these games to calculate the winning probabilities of the teams in this game as the game is underway. Using data obtained from 20 seasons worth of NBA games, we build three models and compare their accuracies to a baseline accuracy. In Model 1, each snapshot includes the point difference between the home and away teams at a given second of the game. In Model 2, each snapshot includes the net team strength in addition to the point difference at a given second. In Model 3, each snapshot includes the rate of score change in addition to the point difference at a given second. The results show that all models perform better than the baseline accuracy, with Model 1 being the best model.

How honest are the signals? A protocol for validating wearable sensors.

There is growing interest among organizational researchers in tapping into alternative sources of data beyond self-reports to provide a new avenue for measuring behavioral constructs. Use of alternative data sources such as wearable sensors is necessary for developing theory and enhancing organizational practice. Although wearable sensors are now commercially available, the veracity of the data they capture is largely unknown and mostly based on manufacturers’ claims. The goal of this research is to test the validity and reliability of data captured by one such wearable badge (by Humanyze) in the context of structured meetings where all individuals wear a badge for the duration of the encounter. We developed a series of studies, each targeting a specific sensor of this badge that is relevant for structured meetings, and we make specific recommendations for badge data usage based on our validation results. We have incorporated the insights from our studies on a website that researchers can use to conduct validation tests for their badges, upload their data, and assess the validity of the data. We discuss this website in the corresponding studies.

The salience of governance mechanisms in contributingto electronic repositories

Expert- and community-governance are becoming popular mechanisms to verify contributions in electronic repositories. This study examines the conditions under which employees make contributions to expert- and community-governed repositories. We conduct a qualitative study using data collected through interviews. Analysis of data using the grounded theory approach reveals that two groups of categories are salient for contribution behaviors: content-based, and need-based. Content-based categories concern the type of content provided for each contribution and involve whether contributions are suggestions/ideas and whether they have sensitive content. Need-based categories concern the different needs of employees and involve whether employees have a need for peer input, expert opinion, or recognition. Findings suggest that employees are more likely to contribute to community-governed repositories if contributions are suggestions/ideas and there is a need for peer input. On the other hand, employees are more likely to contribute to expert-governed repositories if contributions have sensitive content and there is a need for expert opinion and recognition. This study contributes to extant work by distinguishing between two types of governance mechanisms and identifying the salient categories in contributing to repositories that employ these mechanisms.