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Full-Text Articles in Business

The Impact Of Artificial Intelligence And Machine Learning On Organizations Cybersecurity, Mustafa Abdulhussein Feb 2024

The Impact Of Artificial Intelligence And Machine Learning On Organizations Cybersecurity, Mustafa Abdulhussein

Doctoral Dissertations and Projects

As internet technology proliferate in volume and complexity, the ever-evolving landscape of malicious cyberattacks presents unprecedented security risks in cyberspace. Cybersecurity challenges have been further exacerbated by the continuous growth in the prevalence and sophistication of cyber-attacks. These threats have the capacity to disrupt business operations, erase critical data, and inflict reputational damage, constituting an existential threat to businesses, critical services, and infrastructure. The escalating threat is further compounded by the malicious use of artificial intelligence (AI) and machine learning (ML), which have increasingly become tools in the cybercriminal arsenal. In this dynamic landscape, the emergence of offensive AI introduces …


Managing Cyber Defense As A Business Threat For Small And Medium Enterprises, Binh Quang Vo Apr 2023

Managing Cyber Defense As A Business Threat For Small And Medium Enterprises, Binh Quang Vo

Doctoral Dissertations and Projects

The U.S small and medium businesses (SMBs) are constantly attacked by cybercriminals. Alarmingly, the number of victimized SMBs is growing considerably every year. This results in the increasing loss of billions of dollars and risks to the national economy. The problem addressed was the rising number of cyberattacks critically harming SMBs resulting in revenue loss, damages to reputation, and business closure. The purpose of this research was to reveal the contemporary barriers and challenges that impact cybersecurity competencies of SMBs. This study used semi-structured interviews of participants who are currently working as cyber professionals in SMBs across industries. The goal …


The Effects Of Advanced Analytics And Machine Learning On The Transportation Of Natural Gas, Bj Stigall Jun 2021

The Effects Of Advanced Analytics And Machine Learning On The Transportation Of Natural Gas, Bj Stigall

Doctoral Dissertations and Projects

This qualitative single case study describes the effects of an advanced analytic and machine learning system (AAML) has on the transportation of natural gas pipelines and the causes for failure to fully utilize the advanced analytic and machine learning system. This study's guiding theory was the Unified Theory of Acceptance and Use of Technology (UTAUT) model and Transformation Leadership. The factors for failure to fully utilize AAML systems were studied, and the factors that made the AAML system successful were also examined. Data were collected through participant interviews. This study indicates that the primary factors for failure to fully utilize …


Factors Influencing Small Construction Businesses From Implementing Information Security: A Case Study, Carl Andrew Mayes Feb 2021

Factors Influencing Small Construction Businesses From Implementing Information Security: A Case Study, Carl Andrew Mayes

Doctoral Dissertations and Projects

This qualitative study described the influence of small businesses’ failure to properly implement information security technologies resulting in the loss of sensitive and proprietary business information. A collective case study approach was used to determine the most effective way to gain a holistic picture of how small construction businesses make security technology implementation decisions to support their workforce. The theory guiding this study was the Unified Theory of Acceptance and Use of Technology (UTAUT) model which is related to the Theory of Planned Behavior and the Technology Acceptance Model which helped explain the intentions of individuals to use information systems. …


Creating A Culture Of Data-Driven Decision-Making, Kevin Bryan Rogers Sep 2020

Creating A Culture Of Data-Driven Decision-Making, Kevin Bryan Rogers

Doctoral Dissertations and Projects

Researchers have consistently shown that a supportive culture is one of the most crucial success factors in the implementation of any big data solution. Creating a culture that supports data-driven decision-making is a difficult but ultimately required step in transforming an organization into one that can readily and successfully adopt business intelligence technologies. The purpose of this qualitative case study was to understand the ways in which organizations can foster a culture of smarter decision-making and accountability so that businesses can improve operational metrics and ultimately profitability. Participants identified three major themes that drive the adoption of a data-driven culture. …


Social Engineering: How U.S. Businesses Strengthen The Weakest Link Against Cybersecurity Threats, Lily J. Pharris Aug 2019

Social Engineering: How U.S. Businesses Strengthen The Weakest Link Against Cybersecurity Threats, Lily J. Pharris

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological qualitative study was to investigate how IS professionals working in U.S. businesses make sense of their lives and experiences as they address and prevent vulnerabilities to social engineering attacks. This larger problem was explored through an in-depth study of social engineering and its effect on IS professionals working in U.S. businesses operating within healthcare, financial services, and educational industries across the central and northwest regions of Louisiana. Through its use of a phenomenological research design, the study bridged a gap in the social engineering literature, which was primarily comprised of studies that utilized a …


The Impact Of Leadership Style On The Adoption Of Agile Software Development: A Correlational Study, Mike Kipreos Aug 2019

The Impact Of Leadership Style On The Adoption Of Agile Software Development: A Correlational Study, Mike Kipreos

Doctoral Dissertations and Projects

Public and private organizations continue to rely prohibitively on classic software development methodologies such as the waterfall. Private industry more so than the public sector has shown evidence for a higher rate of success when using agile software development methods. Consequently, the purpose of this quantitative correlation study was to examine variables that best predict the adoption of agile methodologies in software development. The study made use of the UTAUT and MLQ–5X surveys. The primary variable under study was leadership style. Secondary variables included: performance expectancy, effort expectancy, social influence, and facilitating factors. A pilot study (N = 30) was …