Publications
Peer Reviewed Journal Publications
2024
(Forthcoming) Mark McKnight, Curt Gilstrap, Cristina Gilstrap, Dinko Bačić, Srishti Srivastava & Kenneth Shemroske
"Generative Artificial Intelligence in applied Business Contexts: A Systematic Review, Lexical Analysis, and Research Framework"
Journal of Applied Business and Economics
Generative Artificial Intelligence (GenAI) is transforming business practices, with potential applications in customer service, code generation, risk analysis, and HR functions. Despite its promise, GenAI may simultaneously create or exacerbate ethical, legal, and security concerns in the business context. Thus, researchers should be interested in its role and impact, especially in the applied business context. This multi-method systematic review examines GenAI literature in applied business research, revealing dominant themes like ChatGPT and language models but noting a scarcity of business-based studies. Analysis of GenAI research features in applied business studies identifies a limited focus on theoretical frameworks, data collection methods, and data analysis processes. Based on our findings, we suggest frameworks for future research to assess GenAI's impact on system and information quality, user satisfaction, and organizational outcomes. This review provides a vital foundation for understanding and advancing GenAI in applied business research contexts.
2024
Dinko Bačić & Kenneth Shemroske
"Designing and Integrating an Introductory Information systems Course into Business Core Curriculum"
Journal of Information Systems Education
An Introductory Information System (IIS) course is an opportunity for Information System (IS) programs to clarify business students’ understandings of IS disciplines and help them prepare for careers requiring IS skills. The course is also essential to attract students into the IS major and mitigate declines in IS enrollment. This paper provides a roadmap and description of implementing an IIS course as part of the business core curriculum at a public university in the Midwestern United States. The roadmap is rooted in both generalizable and institution-specific contexts and includes the identification of key stakeholders, institutional challenges, and nine course design principles. The core principles are outlined and recognized as the foundation of the success of the course. Following course implementation, we present the evaluation of the success of our roadmap and reflect on lessons learned in the process.
2023
Dinko Bačić & Curt Gilstrap
"Predicting Users' Engagement & Video Virality Using Facial Expressions and Advanced Analytics"
Behaviour & Information Technology
Predicting video virality is the holy grail of marketing today. Previous video virality prediction research has relied upon two processes that may lead to incomplete data or incomplete analyses: non-subconscious data collection and self-reporting. This exploratory study evaluates the potential of using a physiological manifestation of emotions captured through facial expressions and skin conductance to predict video viewer engagement across the viewing experience. In the context of video virality and user-focused emotional response, an experiment with 64 subjects viewing 13 videos collected facial expression and galvanic skin response data during the entire viewing experience. XGBoost classifier was deployed using 42 collected features (physiological data and socio-behavioural responses). The selected classifier could predict user engagement with over 80% accuracy. In addition to socio-demographic data and behavioural features, the predictive model identified several facial expression-based features, including action units (mouth open, cheek raise, eye closure, lip raise, and smile), emotions (joy), engagement and positive valence along with head movement (attention) and arousal (GSR peaks) as the most impactful. This study confirms the predictive capability of physiological data and elevates the value and need to understand further the role of viewers’ physiological and subconscious responses to video content across the viewing experience.
2023
Dinko Bačić
International Journal of Information Technology & Decision Making
Information systems (IS) and data analytics-focused academic disciplines remained surprisingly silent in attempting to contribute to a public understanding of critical societal challenges such as foreclosures. This paper tackles the gap by presenting a framework for building foreclosure prediction models by integrating publicly-available census-tract demographic data and readily-available technology (geographic IS (GIS) and machine learning (ML)). The framework is tested and validated using over 19,000 foreclosures from Cuyahoga County (OH) using J48 decision tree, artificial neural network, and Naive Bayes algorithms. The framework’s empirical test identifies nine critical demographic attributes to successfully predict foreclosures, confirming the findings of prior studies while offering several new, highly predictive variables that were missed by prior research. This research is a call to broader IS, CS, and data science communities to assist society in understanding critical societal issues that may need deploying and integrating more advanced technologies.
2023
Dinko Bačić, Nenad Jukić,
Mary Malliaris, Svetlozar Nestorov
& Arup Varma
"Building a Business Data Analytics Graduate Certificate"
Journal of Information Systems Education
In this paper we present the evolution of the Business Data Analytics Graduate Certificate (BDA Certificate) at our institution, Loyola University Chicago. This certificate is a successful and expanding program that attracts a diverse group of dynamic professionals from local, national, and international populations. The program evolution described in this paper involves multiple revisions of the curriculum, additions, and subtractions of individual courses, expansions of delivery methods, and program name changes. The core principles of acknowledging the centrality of data, mandating the modeling-based course sequencing, and recognizing the proper role of software tools, are outlined and recognized as the foundation of the program’s success.
2022
Dinko Bačić & Raymond Henry
Decision Support Systems
In Cognitive Fit Theory (CFT) based research, there is a consensus about cognitive effort as the underlying mechanism impacting performance. Although critical to the theory, cognitive effort and its direct empirical assessment remain a challenge. In this repeated measures experimental study, we introduce a research model and develop hypotheses based on the fundamental relationships underlying CFT while integrating eye tracking as an approach for assessing cognitive effort. Our study finds that eye tracking technology, specifically fixation-based metrics, can be used in the understanding of cognitive processes initiated by our data representation choices. Specifically, we find that in all tasks except the complex-symbolic task, users experience meaningful change in the physiological assessment of cognitive effort based on the condition of cognitive fit. We contrast our findings to existing research and find that physiological indicators of cognitive effort can provide critical insights often missed in traditional CFT research.
2022
Svetlozar Nestorov, Dinko Bačić, Nenad Jukić & Mary Malliaris
The Electronic Library
Purpose:
The purpose of this paper is to propose an extensible framework for extracting data set usage from research articles.
Design/methodology/approach:
The framework uses a training set of manually labeled examples to identify word features surrounding data set usage references. Using the word features and general entity identifiers, candidate data sets are extracted and scored separately at the sentence and document levels. Finally, the extracted data set references can be verified by the authors using a web-based verification module.
Findings:
This paper successfully addresses a significant gap in entity extraction literature by focusing on data set extraction. In the process, this paper: identified an entity-extraction scenario with specific characteristics that enable a multiphase approach, including a feasible author-verification step; defined the search space for word feature identification; defined scoring functions for sentences and documents; and designed a simple web-based author verification step. The framework is successfully tested on 178 articles authored by researchers from a large research organization.
Originality/value:
Whereas previous approaches focused on completely automated large-scale entity recognition from text snippets, the proposed framework is designed for a longer, high-quality text, such as a research publication. The framework includes a verification module that enables the request validation of the discovered entities by the authors of the research publications. This module shares some similarities with general crowdsourcing approaches, but the target scenario increases the likelihood of meaningful author participation.
2021
Xiran Hu & Dinko Bačić
"Exploratory Discoveries from eye-Tracking Tests of Wertheimer's Gestalt Patterns"
Leonardo
In this study, the authors use a novel eye-tracking technology to determine how viewing behavior complies with Wertheimer’s descriptions of Gestalt principles of similarity, proximity, continuation and closure. The results show that viewers respond predictably to most Gestalt principles and that there are nuances to note when it comes to better understanding the role of visual attention in the closure principle and competing principles. In addition, the results reveal a fundamental distinction between visual attention and visual perception. By grasping this critical difference between attention and perception, designers may become more successful in applying Gestalt principles to their design.
2019
Jack Smothers, Alyssa Moore, Jeanette Maier-Lytle, Dinko Bačić, Manfen W. Chen & Kevin Celuch
"Engaging Students through Activity Design: A Service-Dominant Logic Perspective"
Journal of the Academy of Business Education
Higher education graduates must be well-versed in skills that cut across disciplines, such as critical thinking, communication, and problem solving. Employers highly value these skills and may view them as more important than the major with which a student graduates, yet recent college graduates have failed to meet employer expectations. This comparison study examined the value and impact of learning outcomes for business and non-business majors as evidenced through an institutional survey of graduating students. While both groups had generally positive views about acquiring cross-cutting learning outcomes (e.g. critical thinking, communication, interpersonal skills, ethics, preparation for real-world problems, leadership/teamwork, and diversity), findings indicated several significant differences. Graduating business majors were more likely to indicate attaining job-focused skills, leadership/management skills, math skills, and completing an internship, whereas non-business majors experienced greater growth in art and culture and community and civic involvement.
2018
Dinko Bačić & Raymond Henry
AIS Transactions on Human-Computer Interaction
Cognitive fit theory (CFT) has emerged as a dominant theoretical lens to explain decision performance when using data representations to solve decision making tasks. Despite the apparent consensus regarding cognitive effort's theoretical criticality in CFT-based research, researchers have made limited attempts to evaluate and empirically measure cognitive effort and its impact. Unlike prior CFT-based literature that has theorized only the role of cognitive effort, in our empirical study, we presented information and tasks to 68 participants and directly measured cognitive effort to understand how cognitive fit impacts it and how it impacts decision performance. We found that 1) cognitive fit had an impact on cognitive effort only for more complex tasks and 2) cognitive effort had an impact on decision performance time but not on decision performance accuracy. These findings enhance our understanding of an established IS theory and encourage more research on the cognitive underpinnings of CFT.
2018
Abbas Foroughi, Jack Smothers, Dinko Bačić & Mohammed Khayum
Journal of Higher Education Theory and Practice
This paper describes the challenges and advancements encountered by graduate faculty at a Midwestern public university as it transitioned to offering an accelerated MBA program with online, hybrid, and traditional courses, while experiencing 520% (from 100 to 620 students) growth over 24 months. Faculty consulted a ten-principle framework of course design to develop new courses for MBA concentrations and adjust teaching methods, assignment structures, student interactions, and teaching assistant integration to deliver a cutting-edge program in a competitive market. Case studies in deploying experiential learning in a fast-paced, large online classroom environment are discussed for three MBA courses.
2018
Kevin Celuch, Dinko Bačić,
Manfen W Chen,
Jeanette Maier-Lytle &
Jack Smothers
"The potential of student co-creation in extracurricular experiences"
Marketing Education Review
Given trends in the marketing literature, marketing education is attempting to innovate to enhance its value proposition. Education is an experiential service where student engagement implies involvement in activities both in and out of the classroom that reinforce educational value. In order to create value in service delivery, there is a need for more understanding of student extracurricular experiences. This study contributes to the field by describing a student co-design platform consistent with emerging thinking related to customer orientation, engagement, and co-creation. The framework received empirical support, which holds implications for future marketing educational value creation that bonds students to universities.
2016
Radha Appan & Dinko Bačić
Communications of the Association for Information Systems
Traditionally, IT firms closely guard the management and control of critical information assets. A group of IT firms, however, adopted a different approach and formed an organization with the goal of sharing critical IT security information with industry peers (firms in the same industry that do not directly compete) and competitors to more effectively manage IT security. The inherent vulnerability in sharing critical information with other (potentially competing) firms presents an interesting, coopetition paradox for firms. Drawing from the theoretical foundations of the relational view of the firm that resolves the coopetition paradox, we conducted an empirical test to determine whether security information sharing impacts firm's financial performance. Our findings suggest that IT firms engaged in interfirm security information sharing outperform their industry peers in terms of operational costs and overall profitability.
2016
Dinko Bačić & Adam Fadlalla
Decision Support Systems
Modern organizations treat data as an IT infrastructure based upon which business processes and strategy can not only be informed but shaped. One important step in this process deals with the way users consume data through visual display and how those visualization-reliant technologies could impact decision making. Motivated by business information visualization's (BIV) practical relevance and disjointed nature of academic literature, this research summarizes relevant BIV research landscape; by explicating and clarifying visualization terminology and definitions, and condensing relevant literature using a framework that describes and links essential visual elements of business intelligence (BI) platforms to the dimensions of the well-known visual intelligence quotient (IQ) dimensions. The paper identifies gaps and suggests future research opportunities.
Peer Reviewed Conference Proceedings Publications
2024
(Forthcoming) Dinko Bačić
AMICS 2024 TREO Paper
Biosensors are invaluable for understanding subconscious processes influencing human behavior and decision-making. Eye trackers reveal attention focus, GSR devices detect emotional arousal, and facial expression analysis uncovers subtle emotions. Business schools need to prepare undergraduates to effectively use biometric data to predict and explain behavior. This TREO presents a new course at Quinlan School of Business, Loyola University Chicago, focusing on UX and biometrics. Designed by an HCI research faculty member, the course was offered to business honors students as an elective (BH343 Analytical Decision Making). Nineteen students with limited research knowledge learned to articulate UX value, evaluate biometric studies, and conduct biometric research. They used iMotions, eye trackers, GSR devices, and facial coding engines to collect and analyze data. Students produced research manuscripts for academic publication, gaining a competitive edge for careers or advanced studies. This course also differentiates the business honors program and school in a challenging enrollment landscape.
2024
(Forthcoming) Svetlozar Nestorov, Dinko Bačić, Nenad Jukić & Mary Malliaris
“Datasets in Courses: Characteristic Framework”
AMICS 2024 TREO Paper
Data is fundamental to the Information Systems (IS) curriculum. While teaching IS courses involves various techniques and algorithms, datasets remain essential. Using a single dataset across multiple modules aids continuity and focus on new concepts. However, this practice rarely extends across multiple IS courses or departments. This paper identifies datasets usable across IS and business school courses. We present a framework of dataset characteristics to understand why common datasets are underutilized, focusing on size (cardinality and width) and data types. Dataset sizes are categorized as toy (one page/screen), small (hundreds of records), medium (thousands of records), and large (tens of thousands or more). Data types include quantitative (Boolean, integer, real), categorical (string, text), calendar (timestamp, date, year), and geographical (address, GPS coordinates).
2024
(Forthcoming) Dinko Bačić
HCI Conference, MIPRO 2024
The study explores empirical verification of Gestalt laws, such as proximity, continuity, similarity, and connectedness, which are fundamental in understanding how we perceive and process information. While these principles have been widely theorized and have led to various design standards and best practices in the context of business information visualization, there's a lack of empirical evidence supporting them. More specifically, there's a lack of evidence collected through physiological data, particularly those obtained through eye-tracking, To bridge this gap, this research investigates the effects of several Gestalt laws on the viewing behavior (measured through eye-tracking metrics) and performance of users engaging with data visualizations. This controlled, within-subject experiment requires participants to complete specific tasks while their eye movements are recorded. Using eye-tracking devices, we collected eye fixation count, duration, and scan-path metrics, which serve as indicators of visual attention and cognitive effort. Additionally, the experiment measures the accuracy and speed of participants' responses. The findings are analyzed, offering practical and research implications. This research not only contributes to the field by providing empirical data but also offers insights into the effectiveness of data visualization design principles and best practices.
2024
(Forthcoming) Curt Gilstrap, Dinko Bačić & Cristina Gilstrap
“Understanding the Adoption of Generative Artificial Intelligence Within Communities of Practice: A Cross-Practice, Machine Learning-Based Lexical Study”
HCI Conference, MIPRO 2024
Communities of Practice (CoPs) groups share knowledge and expertise across disciplinary collectives and industrial sectors. This theoretical construct assumes learning occurs in and across societal contexts where individuals mutually engage in collective, symbolically shared repertoires. Of late, CoPs have been explored regarding the use of technology platforms to enhance learning and to extend symbolically collective learning activities. However, the extensive and recent saturation of Generative Artificial Intelligence (GenAI) calls for inquiry into how CoPs understand and adopt this ubiquitous technology discussion relative to shared repertoires. This is especially true given the lack of Human Computer Interaction (HCI) research into GenAI adoption at scale. The present study seeks to uncover how the prominent CoPs of Finance, Art, and Software Development understand GenAI as they discuss their technology adoption practices in online forums. Specifically, more than 2.1 million words of community discussion were examined lexically to reveal the manner by which varied CoPs generate shared repertoires for their community members. Findings indicate that types of practice disciplines relate to the lexical dialectics of Practice/Technology, People/Replacements, and Authenticity/Inauthenticity, as well as insightful discourses regarding what counts as work and adoption. A first for HCI, CoPs, and GenAI research, this study provides additional suggestions for future CoPs symbolically shared repertoires relative to new technologies, as well as how GenAI may be implicated in the adoption, work, and learning-based praxes of heterogeneous disciplinary communities.
2023
Dinko Bačić, Curt Gilstrap &
Nenad Jukić
"Physiological and Socio-Behavioral Determinants of Viral Video User Engagement"
46th MIPRO ICT and Electronics Convention (MIPRO)
The use of social media platforms like TikTok, Facebook, and YouTube to consume videos has seen significant growth in recent years. Some videos can generate high levels of engagement - views, likes, shares, or comments at a rapid pace, making them “viral.” However, understanding what causes these videos to become viral or predicting virality is still largely a mystery. This study aimed to uncover if biometrics-based emotion and arousal data, such as facial muscle and skin conductance data, could predict user engagement and contribute to video virality. The experiment used 64 participants, who watched 13 videos and had their facial expressions and galvanic skin response (GSR) data recorded throughout the viewing experience. The study then used an XGBoost classifier and 42 collected features, including physiological data and socio-behavioral responses, to predict user engagement (willingness to like, share, or comment) with over 80% accuracy. The results indicate that a combination of facial expression, GSR, and socio-behavioral data can accurately distinguish between high and low user engagement without needing to ask viewers anything about the videos or analyze video content. This study elevates the role of viewers’ physiological and subconscious responses to video content across the viewing experience.
2022
Dinko Bačić, Ariana Krbanjevic &
Nenad Jukić
"Exploring Pie Charts and Part-To-Whole Alternatives: Eye-tracking Approach"
46th MIPRO ICT and Electronics Convention (MIPRO)
In the field of business information visualization (BIV), there are numerous options for displaying data. One popular yet debated choice is the use of pie charts, as their effectiveness and efficiency have been called into question. Despite their widespread use, there is limited empirical research on the effectiveness and efficiency of pie charts compared to other display types. Additionally, existing research primarily focuses on measuring user impact through accuracy and time, neglecting the impact on users’ physiological attention and cognitive resources. This study aims to fill this gap by comparing the use of pie charts to seven alternative data representation types in a part-to-whole task The study employed a randomized, within-subject experiment with 21 participants, utilizing eye-tracking technology to evaluate user performance (accuracy and time) and cognitive effort (eye fixation). The results showed that pie charts were more accurate than bar charts but required more cognitive effort than stacked bars and treemaps. Donut charts required the most cognitive effort among all tested data representations. The study highlighted that time to complete the task may not be the best indicator of user experience and accuracy while elevating the importance of accounting for users’ cognitive resources.
2022
Ariana Krbanjevic & Dinko Bačić
"Exploring Pie Chart Visual Properties and Design Elements: Eye-Tracking Approach"
AMCIS 2022 Proceedings
This research explores the impact of pie chart data representation on users by focusing on assessing users’ performance, cognitive effort, and visual attention while employing novel eye tracking technology. This research focused on two large questions centered around a difference in users’ visual attention, performance, and cognitive effort between pie chart visual properties and design variations. Two experiments were conducted with 30 participants each. Experiments found there was a variation in performance (accuracy error and time) and effort (fixation count and duration) across pie chart visual properties. Furthermore, experiments confirmed the effectiveness of pie charts over tested alternatives (3D and donut chart).
2020
Leilani Silo & Dinko Bačić
AMCIS 2020 Proceedings
This emergent research discusses the challenges of military veterans’ civil life integration, post-secondary education, and highlights the unique position of Information Systems (IS) discipline in addressing some of those challenges. This paper provides a literature review identifying and classifying a set of 32 core papers from the much wider literature. The classification is at two levels consisting of 12 themes embedded in 4 larger contexts. This research forms the basis for our further research and facilitates other researchers in exploring how IS curriculum, IS faculty engagement with veterans, and IS department interaction with university administration have an opportunity to more effectively address the beforementioned challenges.
2019
Swateja Nimkar,
Mary Catherine Ehlman,
Pamela Thomas, Beth Nolan,
Dinko Bačić & Teepa Snow
American Public Health Association (APHA)
Two out of three nursing home residents have dementia or another form of cognitive impairment that warrants person-centered approach to care. Lack of a standardized approach to engage PLwD hinders dementia care practice recommendations emphasizing person-centered care. This paper addresses the literature gap in outlining how to initiate an interaction with PLwD to meet their unique individual needs. This paper is the first of its kind to examine changes in nursing home staff’s initial engagement with a person living with dementia (PLwD) after the staff from 12 nursing homes participated in a dementia training program conducted in Southern Indiana.
This pilot employed a one-group, quasi-experiment, pretest-posttest design using a two-rater, 12-step coding system and a staff empathy scale assessing caregivers’ initial engagement with a standardized patient depicting a PLwD before and after program participation. Results were generated from a quantitative analysis using SPSS 21.0. Paired scores (n=17) were compared using Paired t-test and Wilcoxon signed-rank test to analyze changes in their initial approach.
We found significant positive change in approaching a standardized patient after nursing home staff completed the certification (t(16) = -11.419, p <.000). Statistical differences (p<.05) were present in ten of the 12 steps of the protocol. Empathy scores will also be analyzed and reported to supplement these findings.
Future studies should test the effect of this innovative dementia training program on PLwD by expanding this approach beyond the nursing home to all dementia caregivers.
2018
Dinko Bačić
"Biometrics and Business Information Visualization: Research Review, Agenda and Opportunities"
Lecture Notes in Computer Science
Business Intelligence & Analytics’ dashboards, data visualizations, and visual analysis systems are cognitive tools that heavily rely on our understanding of subconscious-level processing, human perception and cognitive processes overall. These cognitive tools are the focal point of data visualization subfield called Business Information Visualization (BIV). While the BIV field has seen calls for an increased need of deploying physiological sensing techniques and the use of biometric data, these calls have yet to translate to a more comprehensive evaluation of human response to visual displays and systems using business data. This research identifies and describes biometric sensors researchers should consider in BIV, provides a brief review of literature at the nexus of data visualization and biometrics, and identifies a biometric data-based research agenda and opportunities for BIV.
2018
Radha Appan, Dinko Bačić &
Sreedhar Madhavaram
"Security Related Information Sharing among Firms: Potential Theoretical Explanations"
AMCIS 2018 Proceedings
Information technology (IT) related security crimes are on the rise, and are beginning to have a critical impact on firms. Considering the potential financial impact of IT security breaches on firms, effective IT security becomes the cornerstone of firm performance. In exploring effectives ways to guard against IT security crimes, a small group of IT firms came together to form Information Technology-Information Sharing and Analysis Center (IT-ISAC), an information sharing organization with the goal of sharing critical information with industry peers and competitors. In the context of IT-ISAC, member firms have to engage cooperative and competitive behaviors. Such simultaneous cooperation and competition among rival firms is called coopetition. However, there is no research that explores why IT firms engage in security information sharing with other firms including competitors. In exploring the coopetitive behaviors exhibited by firms participating in the sharing of IT security related information, this research analyzes existing literature streams to see if they can resolve this particular coopetition paradox. Specifically, this research (i) analyzes research streams on transaction cost theory (TCT), resource based view (RBV), competence based view (CBV), and relational view of the firm (RVF), and (ii) finds that, while TCT, RBV, and CBV fail to resolve the IT-ISAC information sharing paradox, RVF provides appropriate theoretical foundations for the resolution of the paradox. We conclude with a discussion of the implications of our paper for future research.
2017
Chad Milewicz & Dinko Bačić
MMA Fall Educators' Conference Proceedings
No Abstract Available
2013
Dinko Bačić & Adam Fadlalla
"Business Information Visualization: A Visual-Intelligence based Framework"
AMCIS 2013 Proceedings
Modern organizations treat data as an IT infrastructure based upon which business processes and strategy can not only be informed but shaped. One important step in this process deals with the way users consume data through visual display and how those visualization-reliant technologies could impact decision making. Motivated by business information visualization's (BIV) practical relevance and disjointed nature of academic literature, this research summarizes relevant BIV research landscape; by explicating and clarifying visualization terminology and definitions, and condensing relevant literature using a framework that describes and links essential visual elements of business intelligence (BI) platforms to the dimensions of the well-known visual intelligence quotient (IQ) dimensions. The paper identifies gaps and suggests future research opportunities.
2012
Radha Appan & Dinko Bačić
"Impact of Domain Knowledge on Information Presentation Format Choice: A Cognitive Fit Perspective"
AMCIS 2012 Proceedings
Prior research has established the effect of presentation format on decision making performance. However, the effect of domain knowledge on presentation format choice has not been investigated. In the business context, reports are often generated by report designers who lack domain knowledge and the reports are used by decision makers who possess substantial domain knowledge. Drawing from the Cognitive Fit Theory and the domain knowledge and presentation format literature, this study argues that report designers and decision makers have different mental models of the problems and solutions due to differences in their domain knowledge. Hence, we posit that report designers will choose report formats that fit with their own mental models rather than the mental models of the decision makers. The lack of cognitive fit between the mental models and presentation format for the decision makers could lead to sub-optimal performances. Other implications for research and practice have been discussed.
2012
Dinko Bačić & Raymond Henry
"The Role of Business Information Visualization in Knowledge Creation"
AMCIS 2012 Proceedings
Past research suggests that one of the reasons causing Business Intelligence (BI) systems to fall short of expectations could be that certain BI capabilities may not be appropriate for individuals’ or organizational challenges. Our research proposes the need to enhance our understanding of information and knowledge processes to address the issue. We evaluate the appropriateness of adopting the implications of information and knowledge processes to Business Information Visualization (BIV) as one of BI capabilities by exploring how data interaction and data representation reduce information-based challenges of uncertainty and complexity, thus enabling the creation of new insights. Formal model and resulting propositions are offered. Research implications suggest that effective and efficient insight generation can be achieved by deploying BI visualization capabilities only if those capabilities result in knowledge workers’ perception of lower information uncertainty and complexity. Larger implications of this study for BI, BIV and knowledge creation process are discussed.