Alexander Pelaez

ORCID: 0000-0003-4748-0024
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About
Contact & Profiles
Research Areas
  • COVID-19 Pandemic Impacts
  • COVID-19 epidemiological studies
  • Digital Marketing and Social Media
  • Stock Market Forecasting Methods
  • Open Source Software Innovations
  • Misinformation and Its Impacts
  • Experimental Behavioral Economics Studies
  • Financial Markets and Investment Strategies
  • Technology Adoption and User Behaviour
  • Knowledge Management and Sharing
  • Complex Systems and Time Series Analysis
  • Competitive and Knowledge Intelligence
  • AI in Service Interactions
  • Fiscal Policy and Economic Growth
  • Auditing, Earnings Management, Governance
  • Personal Information Management and User Behavior
  • Industrial Automation and Control Systems
  • Islamic Finance and Banking Studies
  • Blockchain Technology Applications and Security
  • Advanced Text Analysis Techniques
  • Financial Reporting and XBRL
  • Digital Platforms and Economics
  • Artificial Intelligence in Healthcare
  • Patient Satisfaction in Healthcare
  • Complex Network Analysis Techniques

Hofstra University
2017-2022

City University of New York
2012-2015

Baruch College
2013-2014

Instituto Tecnológico Metropolitano
2014

This article conducts a meta-analysis to determine the effect of perceived risk on intention purchase in e-commerce settings. The literature generally favors negative relationship between two variables; however, some studies have found this be not significant or even positive. Thirty-five were examined, representing 39 overall samples across multiple contexts with total sample size 13779 and weighted (Pearson’s r) for all −0.362 (95% CI: −.432, −.286), medium effect, stronger B2C than B2B...

10.1080/08874417.2017.1300514 article EN Journal of Computer Information Systems 2017-04-18

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research identifies public sentiment amidst problematic socioeconomic consequences of the lockdown, explores ensuing four potential associated scenarios. severity brutality COVID-19 have led to development extreme feelings, emotional mental healthcare challenges. focuses on - presence fear, confusion volatile sentiments, mixed along with trust anticipation. It is necessary gauge dominant trends for...

10.1109/access.2020.3013933 article EN cc-by IEEE Access 2020-01-01

Explosive growth in big data technologies and artificial intelligence (AI) applications have led to increasing pervasiveness of information facets a rapidly growing array representations. Information facets, such as equivocality veracity, can dominate significantly influence human perceptions consequently affect performance. Extant research cognitive fit, which preceded the AI era, focused on effects aligning representation task performance, without sufficient consideration attendant...

10.1016/j.ijinfomgt.2022.102505 article EN cc-by International Journal of Information Management 2022-04-08

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research discovers public sentiment amidst problematic socioeconomic consequences of the lockdown, explores ensuing four potential associated scenarios. severity brutality COVID-19 have led to development extreme feelings, emotional mental healthcare challenges. identifies - presence fear, confusion volatile sentiments, mixed along with trust anticipation. It is necessary gauge dominant trends for...

10.20944/preprints202005.0318.v1 preprint EN 2020-05-20

Abstract Viewing social communication on group-buying platforms as a new form of IT -enabled coordination mechanisms, we examine the impact group size and capacity buyer performance platforms. Using an economic experiment, found that although larger groups were able to extract moderately higher surplus average than smaller groups, there was also negative for time task completion. Interestingly, when private channel introduced buyers, it actually lowered surplus. We explain this unexpected...

10.2753/jec1086-4415180205 article EN International Journal of Electronic Commerce 2013-12-01

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research discovers public sentiment amidst problematic socioeconomic consequences of the lockdown, explores ensuing four potential associated scenarios. severity brutality COVID-19 have led to development extreme feelings, emotional mental healthcare challenges. identifies - presence fear, confusion volatile sentiments, mixed along with trust anticipation. It is necessary gauge dominant trends for...

10.2139/ssrn.3604802 article EN SSRN Electronic Journal 2020-01-01

This paper presents the design and implementation of a didactic flexible training module that contributes to theoretical practical development academic training, this through mechanical structure software has ability perform multiple laboratory practices in different areas related microcontrollers, computer vision, automation. The consist four blocks; mechanic structure, machine programmable logic control interface communication electronic. Each block is subdivided into several stages,...

10.1109/ciima.2014.6983451 article EN 2014-10-01

ABSTRACT This teaching case enables taxation and accounting information systems (AIS) students to use data analytics software analyze a large dataset of simulated federal individual income tax returns identify possible effects changes on different categories taxpayers. Tax return provided for the is sample that represents population U.S. filed, created from simulation using distributions based prevailing economic theories about most recent filing statistics available Internal Revenue Service...

10.2308/issues-19-127 article EN Issues in Accounting Education 2021-01-21

Artificial intelligence in the educational domain has many uses; however, using AI specifically to enhance education and teaching a K-12 environment poses most significant challenges its use. Beyond usage application, quality of is made even more arduous due dynamics primary secondary school children, whose needs far exceed mere fact recollection. Utilizing prior research online space, we explore some hurdles that applications face provide core attributes for "Turing Teacher," i.e., an...

10.3389/frai.2022.1031450 article EN cc-by Frontiers in Artificial Intelligence 2022-12-14

Abstract The Coronavirus pandemic has created complex challenges and adverse circumstances. This research identifies public sentiment amidst problematic socioeconomic consequences of the lockdown, explores ensuing four potential associated scenarios. severity brutality COVID-19 have led to development extreme feelings, emotional mental healthcare challenges. focuses on - presence fear, confusion volatile sentiments, mixed along with trust anticipation. It is necessary gauge dominant trends...

10.1101/2020.06.01.20119362 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-06-02

10.1007/s10257-014-0257-0 article EN Information Systems and e-Business Management 2014-08-23

This article examines the impact of group size and communication level on market performance in buying auction sites. Drawing theory from economics information systems we posit that larger buyer groups should be able to obtain better prices sellers more support help buyers with coordinating their actions. Using an economic experiment, found, interestingly, offering a private channel for does not increase efficiency coordination, also lower profits. Group did have significant effects profits,...

10.1145/2346536.2346598 article EN 2012-08-07

Electronic trading markets have evolved rapidly with continued adoption of new technologies and growing in-formation acquisition processing capabilities. Traditional perspectives on performance adopted a mono-lithic view information. Past research practitioner heuristics posit that adopting incorpo-rating more information should increase price efficiency uniformity. However, along technological change, dynamics significantly resulting in immense growth data volumes, increased complexity...

10.48550/arxiv.2002.10593 preprint EN other-oa arXiv (Cornell University) 2020-01-01

ABSTRACT This paper proposes and tests a methodology for the development of simulated data individual income tax returns in U.S., enabling students taxation accounting, other interested parties, to examine changes code, effects planning alternatives, conduct repeated experimental testing on return data. The simulation draws insight from statistical economic literature into stochastic nature certain line items returns, using information provided by Internal Revenue Service's (IRS) Statistics...

10.2308/jeta-2020-055 article EN Journal of Emerging Technologies in Accounting 2021-06-29

This case study explores how a clinical information system assists healthcare managers in their aim to improve the accuracy of medical communicated among providers. Accurate communication about patient’s condition from one caregiver another is critical quality care. A special focus on implementation (IS) skilled nursing home industry. An important goal IS initiative was codify help staff and assistants reduce patient care mistakes. interpretation data suggests that providers have different...

10.69554/vyqq3679 article EN Management in healthcare. 2019-09-01

This research analyzes publicly available information on the quality of services delivered by healthcare organizations. The accessibility and transparency data is exponentially growing. Due to complexity different provider groups in healthcare, focus nursing home industry. A key objective this explore any association among government-defined ratings, cost-effectiveness, care provided a home. Quality performance metrics for all homes that receive reimbursements from CMS public domain....

10.4018/ijppphce.2021010102 article EN International Journal of Public and Private Perspectives on Healthcare Culture and the Environment 2020-11-03
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