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Articles 91 - 120 of 134
Full-Text Articles in Management Information Systems
State Of The Grid: Cybersecurity Best Practices For The Utility Industry, Corban Garcia
State Of The Grid: Cybersecurity Best Practices For The Utility Industry, Corban Garcia
SACAD: Scholarly Activities
Developing a strong cybersecurity posture is essential for protecting critical infrastructure, especially in the utility industry. This study analyzes a multi-layered cybersecurity approach that integrates risk management, technology, governance, and workforce training. Based on an examination of industry literature, six key steps were identified. These include assessing security posture, developing policies, implementing security controls, employee training, incident response planning, and regular audits. Each step plays a vital role in mitigating cyber threats and ensuring operational resilience. A comparative analysis of cybersecurity frameworks and real-world incidents highlights the necessity of proactive security strategies. Without these foundational steps, organizations face greater risks …
Enhancing Interoperability In Geospatial Analytics Systems: Navigating Diverse Standards For Optimal Data Integrity, Justin W. Bennett
Enhancing Interoperability In Geospatial Analytics Systems: Navigating Diverse Standards For Optimal Data Integrity, Justin W. Bennett
Dissertations
In this study, we explore the domain of geospatial analytics, focusing on how different geographic information systems (GIS) and technology solutions can better communicate and maximize interoperability. Central to our study is the impact of this interoperability on data integrity, which is critical for accurate decision-making in domains like urban planning, environmental management, and national security. Accurate decision-making requires modeling ecosystems that are easy to comprehend and are often intricate due to their physical or artificial nature and the diversity of geospatial parameters; therefore, it is essential to gather a comprehensive array of spatial and temporal measurements. We examine the …
Are Emojis The New Words? A Sentiment Analysis Of Social Media Brand Conversations, Yashodhan Karulkar, Dev T. Vora, Siddharth Vaddepalli, Yash Thakur
Are Emojis The New Words? A Sentiment Analysis Of Social Media Brand Conversations, Yashodhan Karulkar, Dev T. Vora, Siddharth Vaddepalli, Yash Thakur
Journal of International Technology and Information Management
Emojis have become an increasingly important aspect of consumer-brand interactions in the Indian subcontinent. However, the impact of emoji use on brand image and mental health remains underexplored, particularly in emerging economies like India, where structured research on this topic is limited. To address this gap, the present study analyzes over 4,600 consumer tweets related to 19 prominent brands across eleven industries. Using VADER sentiment analysis, the research develops a metric to assess consumer sentiment and brand engagement in relation to emoji usage. The findings indicate that effective integration of emojis contributes to positive consumer sentiment and enhanced brand engagement. …
Sustainability In Forex Trading: A Review In Search Of The Sarsa-Fis Hybrid Method As A Novelty, Joni Fat, Parwadi Moengin, Pudji Astuti, Sally Cahyati
Sustainability In Forex Trading: A Review In Search Of The Sarsa-Fis Hybrid Method As A Novelty, Joni Fat, Parwadi Moengin, Pudji Astuti, Sally Cahyati
Bulletin of Monetary Economics and Banking
This study employs meta-analysis, rich pictures, timeline analysis, and causal loop diagram to explore the sustainability impacts of the SARSA-FIS hybrid method in forex trading robots. It reviews 56 references (2018-2023), using rich pictures to map AI-driven interactions. Timeline analysis traces AI’s evolution in forex, while causal loop diagram clarifies its role in market dynamics. Responsible algorithms and SRI principles mitigate risks, promoting ethical trading. SARSA-FIS enhances strategies, leveraging AI for sustainable forex practices amidst global uncertainties. The research identifies gaps and positions SARSA-FIS as a novel approach, providing a foundation for advancing AI applications in finance, particularly in forex …
Educating Students On The Behavioral And Psychological Aspects Of Romance Scam Victimization Via A Social Engineering Competition, Rachel Bleiman, Hwanhee Park, Aunshul Rege
Educating Students On The Behavioral And Psychological Aspects Of Romance Scam Victimization Via A Social Engineering Competition, Rachel Bleiman, Hwanhee Park, Aunshul Rege
Journal of Cybersecurity Education, Research and Practice
The online dating industry generated 2.98 billion USD in 2023 and is estimated to reach 3.6 billion USD by 2025. Not surprisingly, online dating platforms are rife with romance scams that cause financial damages, with estimated losses of 1.3 billion USD in 2022 alone. Additionally, victims suffer emotional and psychological harms. This paper shares findings from a 2023 Romance Scam and Social Engineering Competition (RSSEC) that introduced students to the behavioral and psychological aspects of romance scams. Specifically, the competition aimed to expose students to (i) understanding how victims experience social engineering (SE) - the psychological manipulation of human behavior, …
Utilizing Ai For Improved Credit Risk Assessment, Emel Baglarbasi
Utilizing Ai For Improved Credit Risk Assessment, Emel Baglarbasi
Harrisburg University Dissertations and Theses
As the finance sector continues to evolve, traditional risk assessment methods struggle to calculate default risk and identify nonlinear relationships accurately. This research examines an alternative risk assessment model designed to estimate credit risk more accurately and efficiently in the credit processes of individual customers, which are one of the primary sources of income for the banking sector. It presents the theoretical design of an AI-based model. The use of this AI model can reduce human error in processes, improve risk assessment accuracy, and expedite procedures. The study adopts a postpositivist worldview and employs a quantitative research design. Algorithms including …
Managing Cybersecurity In Local Governments: 2022, Donald F. Norris Phd, Laura K. Mateczun Jd
Managing Cybersecurity In Local Governments: 2022, Donald F. Norris Phd, Laura K. Mateczun Jd
Journal of Cybersecurity Education, Research and Practice
This paper, based on data from our second nationwide survey of cybersecurity among local or grassroots governments in the U.S., examines how these governments manage this important function. As we have shown elsewhere, cybersecurity among local governments is increasingly important because these governments are under constant or nearly constant cyberattack. Due to the frequency of cyberattacks, as well as the probability that at least some attacks will succeed and cause damage to local government information systems, these governments have great responsibility to protect their information assets. This, in turn, requires these governments to manage cybersecurity effectively, something our data show …
Documenting Blended Learning Resilience During Infrastructure Deficiencies, Lucia Makwasha, Hazel Mubango, Sam Takavarasha Jnr
Documenting Blended Learning Resilience During Infrastructure Deficiencies, Lucia Makwasha, Hazel Mubango, Sam Takavarasha Jnr
The African Journal of Information Systems
Blended learning is a combination of eLearning and traditional face-to-face learning. Since challenges have been identified related to blended learning that hinder effective teaching and learning, this study examined student opinions of this learning model. The aim was to get a deep understanding of its effectiveness given infrastructure deficiencies. Twelve in-depth interviews were conducted with students at a university in Zimbabwe that uses blended learning, and an interpretivist paradigm was adopted. The Zone of Proximal Development proposed by Vygotsky was utilized to conceptualize the cognitive development of the students, and third-generation activity theory (AT), developed by, was used for evaluating …
Internet Of Things Devices Users’ Privacy Adherence: A Case Of Digital Ignorance, Akrasia Or Exhaustion?, Philip Bazanye, Walter F. Uys, Wallace Chigona
Internet Of Things Devices Users’ Privacy Adherence: A Case Of Digital Ignorance, Akrasia Or Exhaustion?, Philip Bazanye, Walter F. Uys, Wallace Chigona
The African Journal of Information Systems
Internet of Things devices, such as those used in home automation, commercial and retail business, and smart cities, are vulnerable to attacks that affect all aspects of daily life. The upsurge in the use of IoT devices has increased the likelihood of cyber-attacks on end users. This research investigates the factors that influence IoT device users to adhere to privacy standards. This interpretivist exploratory research was guided by a three-phased approach. The interview questions were derived from the conceptual model and the constructs of Activity Theory, and themes were analyzed using deductive thematic analysis. The findings were elaborated with reference …
Navigating Artificial Intelligence Governance: Insights From South African Higher Education It Decision-Makers, John Mangundu
Navigating Artificial Intelligence Governance: Insights From South African Higher Education It Decision-Makers, John Mangundu
The African Journal of Information Systems
Academics and students alike can benefit from the use of artificial intelligence (AI) in education. AI governance lowers AI risks while ensuring that anticipated AI use objectives are achieved. However, research on AI governance has been lacking, especially in higher education in emerging economies such as South Africa. In light of this serious research gap, the current study presents the findings of a qualitative exploratory investigation of the maturity and preparedness of AI governance in South African higher education institutions. Informed by a combination of the TOE framework, the traditional IT governance model and the adapted IT governance maturity assessment …
Evaluation Of A Timetabling Software Implemented In Tanzanian Higher Education Context, Anna Kayanda, Lazaro Busagala, Matti Tedre
Evaluation Of A Timetabling Software Implemented In Tanzanian Higher Education Context, Anna Kayanda, Lazaro Busagala, Matti Tedre
The African Journal of Information Systems
It is not known whether the combination of two IS system implementation approaches, Design Science Research and eXtreme Programming, can help improve information systems success in the Tanzanian HEI context. To investigate this, this study evaluated a system that was implemented using both approaches. The evaluation used DeLone and McLean’s Information Systems Success Model(D&M) and a mixed research method. The results showed that while neither the system quality nor the information quality influenced the use of the system, service quality and user satisfaction both had an influence on system use (p<0.001). System quality, information quality and service quality, however, were found to have a significant effect on user satisfaction, all three with p<0.001. Furthermore, using the system influenced the perceived net benefits (p<0.001) obtained from using the system. The findings may be helpful to other Tanzanian HEI wishing to implement information systems for their organizations as it shed light on factors that should be considered for a successful implementation. Although the D&M model has been useful on this study, it is limited by its lack of explicit recognition of contextual variables, such as organizational culture, user characteristics, and environmental factors, which can significantly impact system success.
What Does Chatgpt Know About Information Systems?, Daniel O'Leary, Veda C. Storey, Aaron M. French, Joseph R. Buckman, Cecil Chua, Andrew William Green, Grace Gu, Fred Niederman, Francis Pereira, Gary Templeton, Linda Wallace
What Does Chatgpt Know About Information Systems?, Daniel O'Leary, Veda C. Storey, Aaron M. French, Joseph R. Buckman, Cecil Chua, Andrew William Green, Grace Gu, Fred Niederman, Francis Pereira, Gary Templeton, Linda Wallace
Faculty Articles
Large language models such as ChatGPT provide efficient access to a wealth of information. However, there are significant questions regarding the depth and quality of knowledge in any one domain. This paper focuses specifically on the information systems (IS) field and assesses ChatGPT’s knowledge. To analyze the extent and quality of information systems knowledge derived from queries to ChatGPT, we used over 3,000 queries from a broad range of exam and quiz questions. These queries were obtained from university courses and professional information system certification exams. The query topics are based on a framework for information systems education, with queries …
Curriculum Preferences And Engagement Of Online Entrepreneurship Students: The Influence Of Age And Gender, S. Andrew Starbird, Jill M. Martin, Trish A. Kalbas-Schmidt
Curriculum Preferences And Engagement Of Online Entrepreneurship Students: The Influence Of Age And Gender, S. Andrew Starbird, Jill M. Martin, Trish A. Kalbas-Schmidt
Information Systems and Analytics
It is important for instructors and institutions to create learning experiences that are engaging, effective, and meaningful for students. To achieve these goals, instructors must understand the preferences and interests of their students, build engaging lessons based on those interests, and mitigate content that might make students feel excluded. In-person learning allows instructors to gather information about interests and engagement through direct interaction with students. Gathering information about student interests and engagement is more difficult for asynchronous, self-paced, online training programs. In this paper, we assess the interests, engagement, and disengagement of learners accessing online content focused on entrepreneurship. We …
Exploring School Teachers' Cyber Security Awareness, Experiences, And Practices In The Digital Age, R Ravichandran, Sonam Singh, P Sasikala
Exploring School Teachers' Cyber Security Awareness, Experiences, And Practices In The Digital Age, R Ravichandran, Sonam Singh, P Sasikala
Journal of Cybersecurity Education, Research and Practice
This study investigates the awareness and practices of cyber security among school teachers, exploring their understanding of cyber threats, online behaviours, and response mechanisms to cyber incidents. A structured questionnaire was administered to gather data on demographic information, cyber security training, online practices, and experiences with cybercrime. The findings reveal varying levels of awareness among teachers, with many reporting limited knowledge of prevalent cyber threats such as phishing and identity theft. Despite the increasing reliance on digital tools for teaching, a significant number of respondents indicated a lack of formal training in cyber security. The study highlights the necessity for …
On Legislating Cybercrime: Nigerian, South African, And United Kingdom Perspectives, Sagwadi Mabunda, Roland Akindele
On Legislating Cybercrime: Nigerian, South African, And United Kingdom Perspectives, Sagwadi Mabunda, Roland Akindele
Communications of the IIMA
Cybercrime has evolved to be a menacing challenge to all the countries of the globe. Consequently, it has become necessary for effective laws and policies to be enacted and implemented globally. This paper aims to review the cybercrime legislation of three jurisdictions: Nigeria, South Africa, and the United Kingdom (UK), to examine how each country has conceptualised and legislated cybercrime. The paper begins with a discussion on the definitional considerations necessary for legislating cybercrime. It draws from the Council of Europe Convention on Cybercrime (Budapest Convention) as the primary international convention on cybercrimes, to analyse some of the specific provisions …
Augmenting Legal Expertise: The Role Of Ai In Enhancing Human Capabilities In Legal Services
Augmenting Legal Expertise: The Role Of Ai In Enhancing Human Capabilities In Legal Services
Communications of the IIMA
This study explores the dynamics of digital transformation within the legal services
industry, focusing on the integration of artificial intelligence (AI) to augment
human capabilities. By examining the interplay between institutional norms and
technological innovations, this research aims to understand how AI disrupts
traditional legal practices while maintaining ethical standards and promoting
equitable access to justice. Employing a qualitative content analysis, this research
analyzes data from international news sources spanning April 2011 to March 2021.
The study examines the roles of key industry actors, identifies barriers to digital
adoption, and explores the implications of digitalization for competition within the
legal …
The Intricate Dance Between Stars And Words: A Review Of Customer Reviews In Tourism
The Intricate Dance Between Stars And Words: A Review Of Customer Reviews In Tourism
Communications of the IIMA
Travel and tourism industries rely heavily on customer reviews from past travelers as an invaluable source for informing potential travelers’ decisions. Thanks to the internet, reviews are an invaluable source for both quantitative star ratings as well as qualitative text comments that evaluate travel experiences. In this paper we analyse this complex relationship between text comments and their associated star ratings; using existing literature we highlight their interplay to give an overall picture of customer satisfaction. Factors that influence ratings and comments include both intrinsic (service quality, staff behavior) and extrinsic aspects such as location or price. Sentiment analysis through …
Assessing The Readiness And Awareness Of Key Stakeholders In The Egyptian Maritime Industry To Implement Smart Green Port Practices: A Case Study Of Alexandria Port, Mohamed Elhussieny, Ahmed El Kassar, Kareem Tonbol
Assessing The Readiness And Awareness Of Key Stakeholders In The Egyptian Maritime Industry To Implement Smart Green Port Practices: A Case Study Of Alexandria Port, Mohamed Elhussieny, Ahmed El Kassar, Kareem Tonbol
Blue Economy
This study explores the readiness and preparedness of the major stakeholders within the Egyptian maritime sector towards the adoption of smart green port practices, with particular consideration given to Alexandria Port. With growing environmental threats, the need to support sustainable maritime operations is high. The study evaluates the current state of the ecosystem at Alexandria Port and benchmark it against international standards to highlight the critical gaps that should be covered for the effective execution of smart green port approaches. The results indicate that, although stakeholders have basic knowledge of sustainability issues, large perceived barriers, particularly regarding resource availability, limited …
From Cypherpunks To Decentralized Finance: How Crypto-Anarchy Is Redefining Legal And Economic Systems, Alesia Zhuk
From Cypherpunks To Decentralized Finance: How Crypto-Anarchy Is Redefining Legal And Economic Systems, Alesia Zhuk
Markets, Globalization & Development Review
This article explores the evolution of crypto-anarchy, tracing its origins from the cypherpunk movement to the rise of decentralized finance (DeFi) and its transformative effects on legal and economic systems. Central to crypto-anarchy is the belief in individual empowerment through privacy, financial autonomy, and decentralization, which allows users to bypass traditional intermediaries like banks. While these technologies offer increased freedom and financial inclusion, they also introduce significant risks such as money laundering, tax evasion, and the facilitation of illegal activities, posing challenges to current regulatory frameworks. The article examines the socio-economic implications of decentralization, including both the democratization of finance …
A Set Of Axioms Providing A Basis For Understanding And Analyzing Work Systems In Organizational Settings, Steven Alter
A Set Of Axioms Providing A Basis For Understanding And Analyzing Work Systems In Organizational Settings, Steven Alter
Business Analytics and Information Systems
This paper proposes 24 axioms that form a basis for understanding and analyzing sociotechnical and totally automated work systems in organizational settings. The introduction identifies reasons for trying to develop axioms of that type. Two background sections compare axioms with other types of “knowledge objects”, illustrate the minimal presence of axioms in the IS discipline, define the domain of relevance for the axioms discussed here, and explain the process of developing those axioms. The axioms are organized in five categories: 1) system in context, 2) system operation, 3) system goals and goal attainment, 4) system uncertainties, and 5) system-related change. …
Can An Llm Use Work System Axioms When Describing Work Systems For Requirements Analysis?, Steven Alter
Can An Llm Use Work System Axioms When Describing Work Systems For Requirements Analysis?, Steven Alter
Business Analytics and Information Systems
This research-in-progress paper presents part of an ongoing project related to using LLMs for describing, analyzing, and designing work systems (including information systems). General axioms that apply to any non-trivial WS or IS might provide a path toward new tools and methods. This paper identifies 24 work system axioms that extend earlier research. They are organized in five categories: 1) system in context, 2) system operation, 3) system goals and goal attainment, 4) system uncertainties, and 5) system-related change. The axioms potentially address the challenge of helping business and IS/IT professionals understand and collaborate around systems in organization. This preliminary …
Collecting Financial Data From Online Sources: Enhancing Large Language Models With Real-Time Search, Yang Li
Collecting Financial Data From Online Sources: Enhancing Large Language Models With Real-Time Search, Yang Li
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
Timely and accurate access to financial data is crucial for empirical research in accounting and finance. However, current data collection processes are often manual, inconsistent, and difficult to scale. This study asks: How can large language models (LLMs) be effectively used to automate financial data collection? Using design science research methodology (DSRM), the author develops a modular architecture that integrates a real-time search API and auxiliary information processing into LLM workflows. The study applies the model to two tasks: extracting ESG report release dates and identifying customer firm tickers from COMPUSTAT. The system achieves 96% and 95% accuracy, respectively, comparable …
Insights In Cybersecurity Of A Smart Campus - A Review, Mircea Ţălu
Insights In Cybersecurity Of A Smart Campus - A Review, Mircea Ţălu
Journal of Cybersecurity Education, Research and Practice
The profound impact of the Internet of Things (IoT) on various fronts, is driven by technological advancements, the ubiquitous spread of information, and the emergence of transformative events. IoT presents a diverse array of possibilities within university environments, fostering a more connected and enhanced educational experience. This research undertakes a comprehensive review of existing literature to provide context to the IoT and underscore its crucial significance in the realm of smart campuses. Additionally, the paper explores the intricate connections between IoT and key concepts such as cybersecurity and wireless sensor networks to present a holistic perspective. It delves into the …
Llm-Guided Multimodal Information Fusion With Hierarchical Spatio-Temporal Graph Network For Sentiment Analysis, Yujie Jin, Yong Wang, Yuzhe Wang, Qiyang Chen, Bin Hu, Yanling Han, Chaoyin Ma, Witold Pedrycz
Llm-Guided Multimodal Information Fusion With Hierarchical Spatio-Temporal Graph Network For Sentiment Analysis, Yujie Jin, Yong Wang, Yuzhe Wang, Qiyang Chen, Bin Hu, Yanling Han, Chaoyin Ma, Witold Pedrycz
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
Multimodal sentiment analysis aims to attain a precise comprehension of emotions by integrating complementary textual, visual, and audio information. However, issues such as sentiment discrepancies between modalities, ineffective integration of multi-modal information, and the intricacy of order dependency significantly constrain the models' efficacy. The authors propose an LLM-guided Hierarchical Spatio-Temporal Graph Network (L-HSTGN). By multimodal large model feature enhancement, bidirectional spatio-temporal joint modeling, and dynamic gate fusion mechanism, they effectively address the aforementioned problems. Firstly, they produce cross-modal emotion pseudo-labels based on the multimodal large model, and the single-modal representation was optimized by combining adversarial regularization. Secondly, they develop a …
Comparing Funders' Altruism Versus Self-Interest: Leveraging The Context Of Crisis, Dan Liu, Guangzhi Shang, Cynthia Fan Yang
Comparing Funders' Altruism Versus Self-Interest: Leveraging The Context Of Crisis, Dan Liu, Guangzhi Shang, Cynthia Fan Yang
Journal of International Technology and Information Management
While reward-based crowdfunding has widespread popularity, the motivations driving funders, balancing self-interest and altruism, have remained puzzling. Prior research has been constrained by examination methods and produced mixed findings regarding the weight of altruism versus self-interest among funders. Our study takes a fresh perspective, delving into funder behavior amid a major crisis—the tumultuous backdrop of the COVID-19 pandemic. Our findings reveal that funders not only display an increased willingness to contribute but also significantly amplify their contributions, particularly to projects in crisis-affected regions, irrespective of external incentives like rewards. This underscores the prevalence of altruistic motives among funders in challenging …
Artificial Intelligence And Environmental Sustainability: Review And Research Directions, Troy Strader, Yu-Hsiang (John) Huang, Yu-Ju Tu
Artificial Intelligence And Environmental Sustainability: Review And Research Directions, Troy Strader, Yu-Hsiang (John) Huang, Yu-Ju Tu
Journal of International Technology and Information Management
Environmental sustainability is one of the most important and complex issues currently facing our global society. One solution to some aspects of this problem could come from artificially intelligent systems and data analytics methods. The objective for this study is to identify the range of recently published research that addresses issues involving the convergence of artificial intelligence (AI) and environmental sustainability. A systematic literature review produced a sample of 62 journal articles from 2018-2024 that were each categorized into one of six research themes that included studies of AI and the ways in which it impacted natural resources, energy and …
Understanding The Determinants Of Blockchain Adoption: An Empirical Study, Amarpreet Kohli, Nihar Kumthekar, Piyush Shah, Rebecca Jauch
Understanding The Determinants Of Blockchain Adoption: An Empirical Study, Amarpreet Kohli, Nihar Kumthekar, Piyush Shah, Rebecca Jauch
Journal of International Technology and Information Management
Blockchain technology (BT) has the potential to enhance security and robustness of transactions through a distributed ledger bookkeeping process. This study employs technology-organization-environment (TOE) framework and threat-rigidity theory (TRT) to examine whether perceived disruption caused by COVID-19 pandemic significantly impacted the adoption of BT, and inclination to adopt BT in the US. The COVID-19 pandemic provided a unique backdrop, as it affected businesses across all industries, sizes, and geographies. Results show a non-significant effect of perceived pandemic disruption on the current stage of BT adoption and intention to adopt BT. However, disruption readiness positively influences the current stage of BT …
Digital Infrastructure Development Through Digital Infrastructuring Work: An Institutional Work Perspective, Adrian Yeow, Wee-Kiat Lim, Samer Faraj
Digital Infrastructure Development Through Digital Infrastructuring Work: An Institutional Work Perspective, Adrian Yeow, Wee-Kiat Lim, Samer Faraj
CCX Research
Being able to understand and characterize the digital infrastructure development (DID) process has become even more pressing today due to the rapid advent and implementation of new digital infrastructure (DI) in organizations as well as since the COVID-19 crisis. While information systems (IS) research has begun to recognize the institutional nature of such digital infrastructures, there remains a gap in our understanding of how such developments unfold from an institutional perspective. Through our field study of a digital infrastructure development project involving the implementation of an enterprise-wide electronic medical record system at a large US medical facility, we show how …
2024-2025 Academic Year Annual Report, Collier Library
2024-2025 Academic Year Annual Report, Collier Library
Collier Library and Information Services
No abstract provided.
Affordance-Based Information Technology Sensemaking [Abits], Arvin Mesgari, Chitu Okoli, Ana Ortiz De Guinea
Affordance-Based Information Technology Sensemaking [Abits], Arvin Mesgari, Chitu Okoli, Ana Ortiz De Guinea
Information Systems and Business Analytics Faculty Works
Information Technology (IT) use gives rise to a wide variety of outcomes. This stems in part from the divergent ways in which individuals understand technology. While the sensemaking literature unveils how meaning is attached to organizational phenomena via cognitive and social processes, it overlooks the discovery dimension of making sense, that is detecting the role of the IT artifact in bringing about outcomes. In other words, there is a need to explain how the IT artifact contributes to technology sensemaking and its outcomes. This paper presents a framework that enables scholars to analyze the IT artifact’s role in technology sensemaking …