Aleš Popovič

Aleš Popovič
NEOMA Business School | NEOMA · Department of Information Systems

Doctor of Philosophy, Management Information Systems

About

90
Publications
100,593
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
4,442
Citations
Introduction
My research interests include understanding digitalization, IS value, success, and related business process change, both within and between organizations. I have published my research in a variety of academic journals, such as Journal of the Association for Information Systems, The Journal of Strategic Information Systems, Decision Support Systems, Expert Systems with Applications, Information Systems Frontiers, Government Information Quarterly, and Journal of Business Research among others.
Additional affiliations
March 2015 - present
University of Ljubljana
Position
  • Professor (Associate)
September 2011 - present
Universidade NOVA de Lisboa
Position
  • Professor
October 2010 - March 2015
University of Ljubljana
Position
  • Professor (Assistant)
Education
October 2005 - February 2010
University of Ljubljana
Field of study
  • Information Management

Publications

Publications (90)
Article
Full-text available
Although the constituents of information systems (IS) success and their relationships have been well documented in the business value of information technology (IT) and strategic IS literature, our understanding of how information-sharing values affect the relationships among IS success dimensions is limited. In response, we conduct a quantitative...
Article
Full-text available
Extant studies suggest implementing a business intelligence (BI) system is a costly, resource-intensive and complex undertaking. Literature draws attention to the critical success factors (CSFs) for implementation of BI systems. Leveraging case studies of seven large organizations and blending them with Yeoh and Koronios's (2010) BI CSFs framework,...
Article
Full-text available
Understanding the main determinants of Internet banking adoption is important for banks and users; our understanding of the role of users’ perceived risk in Internet banking adoption is limited. In response, we develop a conceptual model that combines unified theory of acceptance and use of technology (UTAUT) with perceived risk to explain behaviou...
Article
Full-text available
The information systems (IS) literature has long emphasized the positive impact of information provided by business intelligence systems (BIS) on decision-making, particularly when organizations operate in highly competitive environments. Evaluating the effectiveness of BIS is vital to our understanding of the value and efficacy of management action...
Article
Full-text available
We used a novel approach by extending the resource-based view with the dynamic capabilities view to capture the relationship between IT governance and organizational agility. Results from our survey of senior managers suggest that IT and innovation capabilities fully mediate IT governance on organizational agility. They show the strong impact of bo...
Article
Full-text available
Extant studies suggest that cybersecurity is critical and among the IT spending priorities of organizations. In response, the literature draws attention to the cybersecurity critical success factors (CSFs) that enable organizations to focus their scarce resources accordingly. Following a systematic literature review method, we analyze and synthesiz...
Conference Paper
For a discipline to prosper in business and science, it must be thoroughly defined, characterized, and measured. Notably, the definition must reflect its praxis. This study aims to fill this void by empirically validating the Competitive Intelligence unified view and modular definition proposed by Madureira, Popovic, and Castelli (2021). The choice...
Article
This study draws from the information technology (IT)-enabled organizational capabilities perspective, technology affordance theory, and theoretical foundations of organizational gamification to examine how firms’ usage of mobile technology may be associated with the execution of human resource (HR) gamification initiatives and its effect on employ...
Article
Full-text available
Artificial Intelligence (AI) has been argued to offer a myriad of improvements in how we work and live. The notion of AI comprises a wide-ranging set of technologies that allow individuals and organizations to integrate and analyze data and use that insight to improve or automate decision-making. While most attention has been placed on the positive...
Article
Full-text available
The study aimed to identify the core defining dimensions and descriptors of Competitive Intelligence (CI) to provide a unified view and approach. The authors used a mixed-methods approach to derive meta-inferences from the sequential integration of quantitative and qualitative methods. Five defining core dimensions and one hundred descriptors, twen...
Article
Full-text available
Wireless networks are among the fundamental technologies used to connect people. Considering the constant advancements in the field, telecommunication operators must guarantee a high-quality service to keep their customer portfolio. To ensure this high-quality service, it is common to establish partnerships with specialized technology companies tha...
Article
Full-text available
Technology has facilitated platform-mediated work, and individuals are often encouraged to engage with technology using various digital solutions. However, for platform workers, the use of technology can lead to digital overload, which may negatively impact their burnout and performance. In this paper, we examine the interplay between individuals’...
Article
Full-text available
During a crisis such as COVID-19, governments ask citizens to adopt various precautionary behaviours, such as using a voluntary proximity tracing application (PTA) for smartphones. However, the willingness of individual citizens to use such an app is crucial. Crisis decision theory can be used to better understand how individuals assess the severit...
Article
Full-text available
Bone fractures are among the main reasons for emergency room admittance and require a rapid response from doctors. Bone fractures can be severe and can lead to permanent disability if not treated correctly and rapidly. Using X-ray imaging in the emergency room to detect fractures is a challenging task that requires an experienced radiologist, a spe...
Article
Why do organizations develop and execute social media initiatives to create business value? This study addresses this prominent and critical research question for IS research on the business value of social media. Drawing on the institutional theory, we argue that mimetic, coercive, and normative pressure persuade organizations to use social media...
Article
Full-text available
Studies promote crowdsourcing as an alternative source of creativity for companies. By investigating whether a boundary exists in crowdsourcing for innovation, we aim to identify the conditions under which the generic crowd (mainly consisting of novices, instead of professionals) is less creative. Based on the componential theory of creativity, we...
Article
Full-text available
Ever since the worldwide demand for gambling services started to spread, its expansion has continued steadily. To wit, online gambling is a major industry in every European country, generating billions of Euros in revenue for commercial actors and governments alike. Despite such evidently beneficial effects, online gambling is ultimately a vast soc...
Article
Full-text available
The classification of the musculoskeletal images can be very challenging, mostly when it is being done in the emergency room, where a decision must be made rapidly. The computer vision domain has gained increasing attention in recent years, due to its achievements in image classification. The convolutional neural network (CNN) is one of the latest...
Article
Full-text available
Predicting air quality is a complex task due to the dynamic nature, volatility, and high variability in time and space of pollutants and particulates. At the same time, being able to model, predict, and monitor air quality is becoming more and more relevant, especially in urban areas, due to the observed critical impact of air pollution on citizens...
Article
Full-text available
The electricity market is a complex, evolutionary, and dynamic environment. Forecasting electricity prices is an important issue for all electricity market participants. In this study, we shed light on how to improve electricity price forecasting accuracy through the use of a machine learning technique—namely, a novel genetic programming approach....
Article
Full-text available
In the information management literature, Software-as-a-Service (SaaS) is recognized as a technology capable of providing operational and financial benefits to firms, and it is rising as the dominant IT service delivery model. Considered to be a promising solution it is garnering interest among researchers and professionals. However, SaaS can repre...
Conference Paper
Full-text available
Competitive Intelligence (CI) is becoming of essence due to the need for improving firm performance in an increasingly volatile, uncertain, complex and ambiguous (V.U.C.A.) world. The CI model, however, has not evolved to address evolving intelligence needs, highlighting an opportunity for further research on how to fit for purpose the CI process i...
Article
Over the course of research on convolutional neural network (CNN) architectures, few modifications have been made to the fully connected layers at the ends of the networks. In image classification, these neural network layers are responsible for creating the final classification results based on the output of the last layer of high-level image filt...
Article
Full-text available
Although big data analytics (BDA) is considered the next "frontier" in data science by creating potential business opportunities, the way to extract those opportunities is unclear. This paper aims to understand the antecedents of BDA value at a firm level. The authors performed a study using a mixed methodology approach. First, by carrying out a De...
Article
Full-text available
Business intelligence (BI) technologies have received much attention from both academics and practitioners, and the emerging field of business analytics (BA) is beginning to generate academic research. However, the impact of BI and the relative importance of BA on corporate performance management (CPM) have not yet been investigated. To address thi...
Article
Full-text available
Supply chain and operations management requires frequent decision making, and decisions are importantly influenced by the personality traits and knowledge of the decision maker. Thus, we analyse the effect of those factors on the confidence and quality of decisions taken in the context of supply chain management. The data was gathered via an online...
Article
Full-text available
In 2013, our research group published a contribution in which a new version of genetic programming, called Geometric Semantic Genetic Programming (GSGP), was fostered as an appropriate computational intelligence method for predicting the strength of high-performance concrete. That successful work, in which GSGP was shown to outperform the existing...
Article
Full-text available
Research shows that data-driven decision-making using Business Intelligence and Analytics (BI&A) can create competitive advantages for organizations. However, this can only happen if users successfully accept BI&A and use it effectively. Analytical decision processes are often characterized by non-routine and ill-structured tasks and decisions, mak...
Article
Full-text available
Purpose The purpose of this paper is to provide a better understanding of how post-adoption use of business intelligence system (BIS) affects firm performance. It develops and empirically tests a conceptual model for assessing the impact of BIS routine and innovative usage on firm performance the context of small and medium enterprises (SMEs). De...
Article
The growing number of e-commerce orders is leading to increased risk management to prevent default in payment. Default in payment is the failure of a customer to settle a bill within 90 days upon receipt. Frequently, credit scoring (CS) is employed to identify customers’ default probability. CS has been widely studied, and many computational method...
Article
Full-text available
There are many molecular biology approaches to the analysis of microRNA (miRNA) and target interactions, but the experiments are complex and expensive. For this reason, in silico computational approaches able to model these molecular interactions are highly desirable. Although several computational methods have been developed for predicting the int...
Article
Full-text available
Big Data Analytics (BDA) is an emerging phenomenon with the reported potential to transform how firms manage and enhance high value businesses performance. The purpose of our study is to investigate the impact of BDA on operations management in the manufacturing sector, which is an acknowledged infrequently researched context. Using an interpretive...
Article
Full-text available
Purpose The paper aims to provide a better understanding of the determinants of business intelligence system (BIS) adoption stages. It develops and empirically tests a conceptual model for assessing the determinants of BIS diffusion on the evaluation, adoption, and use stages in the context of small and medium enterprises (SMEs). Design/methodolo...
Article
Full-text available
This article examines the “chicken-egg” two-way relationships between online consumer reviews and sales, and assesses the dual influencer and indicator roles of online consumer reviews in relation to purchase behavior. Considering the time factor, we adopt the methodology of Granger causality test and track 3,390 products on Amazon.com over a 2-mon...
Article
Full-text available
Nowadays, with more than 50 % of the world’s population living in urban areas, cities are facing important environmental challenges. Among them, air pollution has emerged as one of the most important concerns, taking into account the social costs related to the effect of polluted air. According to a report of the World Health Organization, approxim...
Article
Full-text available
In this study, we draw on the structurational model of technology in an institutional setting to investigate how top management affects the development of a firm’s business intelligence (BI) capability. We propose a multiple mediator model in which organizational factors, such as user participation and analytical decision making orientation, act as...
Article
Full-text available
High-performance concrete, besides aggregate, cement, and water, incorporates supplementary cementitious materials, such as fly ash and blast furnace slag, and chemical admixture, such as superplasticizer. Hence, it is a highly complex material and modeling its behavior represents a difficult task. This paper presents an evolutionary system for the...
Article
E-commerce has proliferated in the daily activities of end-consumers and firms alike. For firms, consumer satisfaction is an important indicator of e-commerce success. Today, consumers’ reviews and feedback are increasingly shaping consumer intentions regarding new purchases and repeated purchases, while helping to attract new customers. In our wor...
Article
Full-text available
A major challenge facing all law-enforcement organizations is to accurately and efficiently analyze the growing volumes of crime data in order to extract useful knowledge for decision makers. This is an increasingly important task, considering the fast growth of urban populations in most countries. In particular, to reconcile urban growth with the...
Article
Full-text available
The aim of this article is to examine individual, corporate and technology-related factors that shape user resistance in business intelligence systems (BIS) post-acceptance usage behaviour. The author develops a conceptual framework and a series of propositions, grounded on previous studies of user resistance to information systems (IS) and post-ac...
Article
Full-text available
Making accurate stock price predictions is the pillar of effective decisions in high-velocity environments since the successful prediction of future prices could yield significant profit and reduce operational costs. Generally, solutions for this task are based on trend predictions and are driven by various factors. To add to the existing body of k...
Article
Full-text available
This work deals with the analysis and prediction of the behavior of a Gas Turbine (GT), the Mitsubishi single shaft Turbo-Generator Model MS6001, which has a 30MW generation capacity. GTs such as this are of great importance in industry, as drivers of gas compressors for power generation. Because of their complexity and their execution environment,...
Article
Full-text available
Despite the recognized value that mobile BI (m-BI) brings to firms, our understanding of the use of m-BI and its determinants are limited. In this study, we suggest that m-BI system quality characteristics may be among the factors that influence m-BI use. Yet, in the information systems (IS) literature there is mixed support for the relationship be...
Article
In this work, we study the influence of the population size on the learning ability of Geometric Semantic Genetic Programming for the task of symbolic regression. A large set of experiments, considering different population size values on different regression problems, has been performed. Results show that, on real-life problems, having small popul...
Article
Many innovative products can only fully deploy their value if they rely on consumers' personal information. This issue challenges the confidence that consumers have in new innovations, and revolutionizes marketing practices. Malhotra, Kim, and Agarwal's (2004) framework provides the theoretical basis for hypotheses on the consequences of privacy co...
Article
Full-text available
The process of tuning the parameters that characterize evolutionary algorithms is difficult and can be time consuming. This paper presents a self-tuning algorithm for dynamically updating the crossover and mutation probabilities during a run of genetic programming. The genetic operators that are considered in this work are the geometric semantic ge...
Article
The role of crossover and mutation in genetic programming has been the subject of much debate since the emergence of the field. Recently new genetic operators, called geometric semantic operators, have been introduced. Contrary to standard genetic operators, these operators present the interesting property of inducing a unimodal fitness landscape f...
Article
Full-text available
Quality of service, that is, the waiting time that customers must endure in order to receive a service, is a critical performance aspect in private and public service organizations. Providing good service quality is particularly important in highly competitive sectors where similar services exist. In this paper, focusing on banking sector, we propo...
Chapter
The IS literature has long highlighted the positive impact of information provided by Business Intelligence Systems (BIS) on decision-making, particularly when organizations operate in highly competitive environments. The primary purpose of implementing BIS is to utilize diverse mechanisms to increase the levels of the two Information Quality (IQ)...
Article
Full-text available
In 2012, Moraglio and coauthors introduced new genetic operators for Genetic Programming, called geometric semantic genetic operators. They have the very interesting advantage of inducing a unimodal error surface for any supervised learning problem. At the same time, they have the important drawback of generating very large data models that are usu...
Article
Full-text available
One of the most common techniques in radiology is the computerized tomography (CT) scan. Automatically determining the relative position of a single CT slice within the human body can be very useful. It can allow for an efficient retrieval of slices from the same body region taken in other volume scans and provide useful information to the non-expe...
Article
Big data knowledge discovery emerged as an important factor contributing to advancements in society at large. Still, researchers continuously seek to advance existing methods and provide novel ones for analysing vast data sets to make sense of the data, extract useful information, and build knowledge to inform decision making. In the last few years...
Article
Full-text available
Energy consumption has long been emphasized as an important policy issue in today's economies. In particular, the energy efficiency of residential buildings is considered a top priority of a country's energy policy. The paper proposes a genetic programming-based framework for estimating the energy performance of residential buildings. The objective...
Article
Full-text available
Within highly competitive business environments, data mining (DM) is viewed as a significant technology to enhance decision-making processes by transforming data into valuable and actionable information to gain competitive advantage. There appears, however, to be a dearth of empirical case studies which consider in detail the initial stages in DM m...
Article
Full-text available
Forest fires importantly influence our environment and lives. The ability of accurately predicting the area that may be involved in a forest fire event may help in optimizing fire management efforts. Given the complexity of the task, powerful computational tools are needed for predicting the amount of area that will be burned during a forest fire....