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Published in Expert Systems With Applications, 2017
Mechanisms for collecting unstructured feedback (i.e., text comments) from patients of healthcare providers have become commonplace, but analysis techniques to examine such feedback have not been frequently applied in this domain. To fill this gap, we apply a text mining methodology to a large set of textual feedback of physicians by their patients and relate the textual commentary to their numeric ratings. While perceptions of healthcare service quality in the form of numeric ratings are easy to aggregate, freeform textual commentary presents more challenges to extracting useful information. Our methodology explores aggregation of the textual commentary using a topic analysis procedure (i.e., latent Dirichlet allocation) and a sentiment tool (i.e., Diction). We then explore how the extracted topic areas and expressed sentiments relate to the physicians’ quantitative ratings of service quality from both patients and other physicians. We analyze 23,537 numeric ratings plus textual feedback provided by patients of 3,712 physicians who have also been recommended by other physicians, and determine process quality satisfaction is an important driver of patient perceived quality, whereas clinical quality better reflects physician perceived quality. Our findings lead us to suggest that to maximize the usefulness of online reviews of physicians, potential patients should parse them for particular quality elements they wish to assess and interpret them within the scope of those quality elements.
Recommended citation: James, T.L., Villacis Calderon, E., and Cook, D.F. (2017). "Exploring Patient Perceptions of Healthcare Service Quality through Analysis of Unstructured Feedback", Expert Systems with Applications , 17, 479-492. https://doi.org/10.1016/j.eswa.2016.11.004
Published in Information Technology & People, 2022
Exchanging social support on online health communities (OHCs) can be beneficial to people’s health, but the OHC characteristics that promote environments in which users feel socially supported are understudied. We develop a model that examines the mediating influence of OHC cohesiveness, altruism, and universality on the relationships between active and passive use and received OHC social support. Our findings indicate that social support can be derived from both active and passive use of the OHC. Although active use can directly stimulate received OHC social support, the relationship between passive use and social support is fully mediated by OHC group dynamics.
Recommended citation: James, T.L., Zhang, J., Li, H., Ziegelmayer, J.L. and Villacis-Calderon, E.D. (2021), The moderating effect of technology overload on the ability of online learning to meet students' basic psychological needs, Information Technology & People , Vol. ahead-of-print No. ahead- of-print. https://doi.org/10.1108/ITP-03-2021-0225
Published in Information & Management, 2022
We extend a theoretical framework for telecommuting to examine online learning. Additionally, we consider the role of technology overload and experience both as drivers and as moderators of students’ BPNs satisfaction and frustration in online learning. Our results provide valuable insights that can inform efforts to rebalance the deployment of ICTs to facilitate online educational experiences.
Recommended citation: James, T. L., Villacis-Calderon, E. D., Bélanger, F., & Lowry, P. B. (2022). The mediating role of group dynamics in shaping received social support from active and passive use in online health communities. Information & Management, 59(3), 103606. https://doi.org/10.1016/j.im.2022.103606
Published in Data and Information Management, 2023
Vaccine hesitancy is the delay or refusal of vaccination when vaccines are available. Over the last decade, many reports have suggested that the proliferation of vaccine disinformation and misinformation on social media has aggravated the vaccine-hesitancy problem. Access to vaccine dis(mis)information on social media is deemed partly responsible for the resurfacing of vaccine-preventable diseases (e.g., measles). Although studies have examined social media dis(mis)information, including that related to vaccines, the newsfeed algorithm, which determines the content social media users see, has received scant attention in the literature. We examine how people’s perceptions of the fairness, accountability, and transparency (FAT) of the Facebook newsfeed algorithm influence their intention to vaccinate their children. We find that people’s perceptions of the Facebook newsfeed algorithm’s FAT increase their…
Recommended citation: Villacis-Calderon, E. D., James, T. L., & Lowry, P. B. (2023). How Facebook's newsfeed algorithm shapes childhood vaccine hesitancy: An algorithmic fairness, accountability, and transparency (FAT) perspective. Data and Information Management, 7(3), 100042. https://doi.org/10.1016/j.dim.2023.100042
Published in Finance Research Letters, 2024
CEO overconfidence and dispositional optimism are often used interchangeably. This paper addresses two key issues that result in this problem, (1) the conflation and confounding between CEO overconfidence and dispositional optimism; (2) the lack of consideration for the other parties’ individual traits. To expose the theoretical and empirical distinctions, we examine the interaction between supplier and customer, and its effects on supplier’s relationship-specific investments. Theory indicates that both traits show a proclivity to overinvestments, but interestingly, results differ when accounting by the other parties’ optimism and overconfidence. Specifically, the customer CEOs optimism strengthens this relationship while overconfidence weakens it.
Recommended citation: Grove, S., Nelson, A., Villacis-Calderon, E. D., & Dow, K. E. (2024). Words to use with care? CEO dispositional optimism vs overconfidence. Finance Research Letters, 59, 104785. https://doi.org/10.1016/j.frl.2023.104785
Undergraduate Course, Virginia Tech, Business Information Technology, 2021
This course provides conceptual and practical exposure to managerial, technical, and operational aspects of information security. The course focuses on developing an understanding of information security concepts, policies, security controls, and best practices. In this course, students learn information security terminology, dynamics, and hands-on experience. The purpose of the course is to promote critical thinking for assessing the information security of organizations.
Undergraduate Course, Virginia Tech, Business Information Technology, 2021
This course is designed to introduce undergraduate students to the integrated nature of security in a number of different contexts. In this course students learn about environmental, technical (computer science/cybersecurity), historical, ethical, social, political, and business and economics. This course leverages a case-study approach that delves into the different contexts of security environments while providing, where possible, hands-on exercises, simulations and discussions.
Undergraduate Course, Virginia Tech, Business Information Technology, 2022
This course focuses on information visualization principles and techniques. In this course, students will learn how to apply design principles and technics for developing data visualizations that communicate insights, stories, or recommendations from business data to support decision making. Students will learn how to use software for data visualizations and become familiar with exploratory and explanatory visualizations.
Undergraduate Course, The University of Texas at El Paso, Woody L. Hunt College of Business - Accounting and Information System, 2022
A practical course covering the concepts of relational database management systems (RDBMS) and Structured Query Language (SQL). Topics include conceptual design, relational systems design, normalization and denormalization processes, SQL, and its components such as data manipulation commands.
Undergraduate Course, The University of Texas at El Paso, Woody L. Hunt College of Business - Accounting and Information System, 2023
This course is designed to teach students the fundamentals of programming, data structures, algorithmic analysis, and business problem solving. Students will learn programming concepts and analytical tools for solving business problems using Python. The course will cover practical examples of how to use data structures and algorithms to solve business problems. Additionally, this course teaches how to do data wrangling and analysis. This analytic programming course relies on basic inferential statistical knowledge and requires students to spend a significant number of hours developing, debugging, and improving code.
Undergraduate Course, The University of Texas at El Paso, Woody L. Hunt College of Business - Accounting and Information System, 2023
This is an introductory course in programming and data processing. This course teaches important concepts about programming blocks, algorithms, and data structures using python. More than teaching you how to program in python, this course teaches programming fundamentals that can be used to implement code in python or any other programming language. Moreover, this course teaches how to design, implement, and evaluate programming solutions to business problems. Furthermore, this course offers an introduction to the processing of data in multiple formats (e.g., plain files, comma separated values). This is a programming course. Therefore, in this course, coding, debugging, and improving code are central to students’ learning.
Undergraduate Course, The University of Texas at El Paso, Woody L. Hunt College of Business - Accounting and Information System, 2023
This course is designed to teach students the fundamentals of programming, data structures, algorithmic analysis, and business problem solving. Students will learn programming concepts and analytical tools for solving business problems using Python. The course will cover practical examples of how to use data structures and algorithms to solve business problems. Additionally, this course teaches how to do data wrangling and analysis. This analytic programming course relies on basic inferential statistical knowledge and requires students to spend a significant number of hours developing, debugging, and improving code.
Undergraduate Course, The University of Texas at El Paso, Woody L. Hunt College of Business - Accounting and Information System, 2023
A practical course covering the concepts of relational database management systems (RDBMS) and Structured Query Language (SQL). Topics include conceptual design, relational systems design, normalization and denormalization processes, SQL, and its components such as data manipulation commands.
Undergraduate Course, The University of Texas at El Paso, Woody L. Hunt College of Business - Accounting and Information System, 2023
A practical course covering the concepts of relational database management systems (RDBMS) and Structured Query Language (SQL). Topics include conceptual design, relational systems design, normalization and denormalization processes, SQL, and its components such as data manipulation commands.
Undergraduate Course, The University of Texas at El Paso, Woody L. Hunt College of Business - Accounting and Information System, 2024
This course is designed to teach students the fundamentals of programming, data structures, algorithmic analysis, and business problem solving. Students will learn programming concepts and analytical tools for solving business problems using Python. The course will cover practical examples of how to use data structures and algorithms to solve business problems. Additionally, this course teaches how to do data wrangling and analysis. This analytic programming course relies on basic inferential statistical knowledge and requires students to spend a significant number of hours developing, debugging, and improving code.
Undergraduate Course, The University of Texas at El Paso, Woody L. Hunt College of Business - Accounting and Information System, 2024
A practical course covering the concepts of relational database management systems (RDBMS) and Structured Query Language (SQL). Topics include conceptual design, relational systems design, normalization and denormalization processes, SQL, and its components such as data manipulation commands.