Stephan Kudyba

• Doctor of Philosophy
• New Jersey Institute of Technology

T he power of generative artificial intelligence (GEN AI) has organisations of all types intrigued and clamouring to leverage its functionality to enhance productivity, improve their financial bottom line and maintain market share or possibly achieve a competitive advantage. Increasing the speed and robustness of information assets presents ample o...

Purpose Digital transformations of business processes are on the rise and the result is a need for a better understanding of how the elements of intellectual capital (IC) play a role in achieving successful digital project outcomes. New structural capital in the form of digital technologies must be identified and understood. Evolving skills of huma...

Different forms of AI can improve performance through prediction; automation of routines; and identification of images, keywords, and patterns in voice and text. However, organizations often struggle with knowing where investments in AI will really pay off. Companies need to 1) ask whether they really need AI, 2) pick a task to start with, not a pr...

The digital era is introducing technological innovations that create valuable data resources and provide opportunities to health care providers to more effectively communicate, treat, and manage patient populations. However, in order to achieve effective and financially viable population management solutions, a number of elements are required. Thes...

Effective use of reporting technology, data engineering, analytics and continuous correspondence with users can enhance success in agile projects. This article describes the process of building an effective dashboard for enhanced decision support for agile projects.

Healthcare Informatics: Evolving Strategies in the Digital Era focuses on the services, technologies, and processes that are evolving in the healthcare industry. It begins with an introduction to the factors that are driving the digital age as it relates to the healthcare sector and then covers strategic topics such as risk management, project mana...

In order to have a clear understanding of executive compensation, a standardized method supported by appropriate statistical techniques is needed. An essential item to initiate this process is to identify a peer group of other corporations to measure themselves against when calculating the executive compensation package. The corporation to examined...

The restrictions introduced by COVID-19 forced firms to adapt to a technology-intensive operational model. These digital transformations involved deliberations among stakeholders to adjust strategy and general functionally of companies, which included elements of the future of work. This paper leverages existing research, and input from firms in va...

The Future of Work involves a complex and evolving process of inputs of worker skills, experience, perspectives and the incorporation of new technologies to enhance processes and innovate to meet consumer demand. This evolutionary pulse delves into the realm of knowledge management as interactions among the elements of intellectual capital are esse...

Purpose The evolving digital transformations of organizational processes involve vast complexities. Factors such as labor resources at the individual and team levels that integrate and utilize information resources and evolving technologies to achieve collective intelligence are essential to this process. In order to better understand evolving dema...

The term Digital Transformation has evolved from a technology based phenomenon years ago to today’s common-place strategic focal point. The subject has received increased focus from researchers, organizational practitioners and academics alike. However, this “common-place” initiative in the current digital era may be masking some limitations that a...

This article helps clarify the types of strategic initiatives that can be accomplished by AI. At a high level they include routine process replication, predictive modeling or image recognition. Link below: https://www.institutefordigitaltransformation.org/some-simple-factors-to-consider-in-deploying-ai-your-organization/

This article describes the various technologies essential to digital transformation across functional areas of an organization and describes the link to analytics of the digital resources these technologies produce. Link https://www.institutefordigitaltransformation.org/digital-transformation-a-fine-line-between-a-technological-restructuring-of-bu...

This article describes the potential for AI to augment risk estimation for both individual investors and financial market assets. AI processes vast amounts of a variety of data to identify patterns underpinning processes and metrics. Evolving data resources including digital touch points provide AI with attributes that can enhance risk estimation b...

Business intelligence and Analytics case studies

The increase in digital/data resources available in the healthcare sector has heightened the emphasis of applying analytics to extract information to provide solutions to problems. However, the process of providing analytic-based healthcare solutions may introduce factors that require multiple analytic techniques or a hybrid approach. Data resource...

The application of AI to digital touch points and web content is transforming the B2B space by enhancing descriptive categories of business entities across industry sectors. Link https://hbr.org/2018/01/machine-learning-can-help-b2b-firms-learn-more-about-their-customers

Digital transformation involves the increased utilization of electronic/technology platforms in conducting activities or processes. These technology based platforms facilitate the creation of insightful data resources as they record user interactions. Software as a Service (SaaS) has grown significantly in this evolving digital era and provides a c...

Research on how to augment visual analytic platforms by integrating predictive modeling techniques via a REST API application.

Case study that addresses the design and development of analytics-based Data products (also published in SMR)

An increasing number of companies are creating products that combine data with analytical capabilities. Creating an effective development process for these data products requires following well-established steps — and adding a few new ones, too. In this article, we will describe what leading companies are doing to create, refine, and generate value...

The ability to better estimate future demand for health services is a critical element to maintaining a stable quality of care. With greater knowledge of how particular events can impact demand, health-care service providers can better allocate available resources to more effectively treat patients’ needs. The incorporation of data mining analytics...

This chapter assesses the operating units within electronic shopping stores with regard to their productivity. The methodology used to measure the productivity is data envelopment analysis (DEA). Two different linear programming model formulations of the DEA model are used. In the first linear programming model, the weights are applied to the input...

Organizations across industry sectors continue to develop data resources and utilize analytic techniques to enhance efficiencies in their operations. One example of this is evident as Managed Care Organizations (MCOs) enhance their care and disease management initiatives through the utilization of population segmentation techniques. This article pr...

Managing patients' length of stay is a critical task for healthcare organizations. In order to better manage the processes impacting this performance metric, providers can leverage data resources describing the network of activities that impact a patient's stay with analytic methods. Interdependencies between departmental activities exist within th...

In this paper, we analyze segmentation of financial markets based on the general segmentation bases. In particular, we identify potentially attractive market segments for financial services using a customer dataset. We develop a multi-group discriminant model to classify the customers into three ordinal classes: prime customers, highly valued custo...

Organizations across industry sectors continue to develop data resources and utilize analytic techniques to enhance efficiencies in their operations. One example of this is evident as Managed Care Organizations (MCOs) enhance their care and disease management initiatives through the utilization of population segmentation techniques. This article pr...

Youtube presentation: https://www.youtube.com/watch?v=pzS--PaGC9o

Organizations across industry sectors continue to develop data resources and utilize analytic techniques to enhance efficiencies in their operations. One example of this is evident as Managed Care Organizations (MCOs) enhance their care and disease management initiatives through the utilization of population segmentation techniques. This article pr...

Organizations across industry sectors continue to develop data resources and utilize analytic techniques to enhance efficiencies in their operations. One example of this is evident as Managed Care Organizations (MCOs) enhance their care and disease management initiatives through the utilization of population segmentation techniques. This article pr...

Mitigating deposit outflows for financial organizations is the focal point to preserving a stable revenue stream. Given the competitive nature of this industry, organizations are continuously confronted with customers allocating their assets to competitors or withdrawing their deposits for alternative consumption patterns. One way to help reduce fu...

Organizations across industry sectors continue to develop data resources and utilize analytic techniques to enhance efficiencies in their operations. One example of this is evident as Managed Care Organizations (MCOs) enhance their care and disease management initiatives through the utilization of population segmentation techniques. This article pr...

This paper addresses the utilisation of complementary technologies to more effectively identify and accommodate the market demand for product documents available via an e-commerce platform. More specifically, it investigates the utilisation of data mining methodologies to enhance the information management of e-commerce data to better identify cons...

The ongoing initiative of business process re-engineering in organisations has largely been attributed to innovations in information technologies that have enabled firms to increase productivity in their operations. The following paper addresses essential concepts in supply chain networks and describes the systems approach the U.S. automotive indus...

Advanced analytic and forecasting methodologies can enable organisations to more fully leverage the data resources available to them. In the healthcare industry, service providers can use data mining methods to enhance the decision‐making process in optimising resource allocation by identifying the sources of future high‐cost treatment in a given h...

The benefits of incorporating American Healthways Corporation's (AMHC) predictive modeling to more accurately identify patients likely to develop chronic illness are discussed. One way to enhance operational efficiency in the health care sector is by more accurately identifying the sources of future high resource demand and initiating strategic man...

Management initiatives have increased their intensity on enhancing operating efficiency and productivity across functional areas of the organization. Early efforts focused on investment in information technologies as organizations sought to transform their capital infrastructures to become more IT intensive. To more fully achieve productivity gains...

As corporations in the United States have intensified their recourse to IT over the past decade, demand for workers with IT skills has grown. Using data for 1995-97 regarding numbers of workers and IT-skilled workers employed by the top 500 corporations making intensive use of IT in the United States, as well as company disclosure reports, the auth...

Despite the research written, the software developed and the business applications that can be enhanced by it, the terms data mining and multivariate modeling continue to stoke uncertainty, complexity and sometimes fear in business managers and strategic decision-makers across industry sectors. Why is this? There are a number of reasons to cite, bu...

This work involves an empirical analysis, incorporating firm-level investment in information technology and financial statement information, which provides an accurate measure of operating revenue, in a profitability function over the period from 1995-1997. The results indicate that IT can enhance firm level profitability. Factors such as advanced...

The focus has intensified and the trend is set for corporations to enhance the efficiency in which they operate in the marketplace. Years ago, organizations seemed to concentrate more on the acquisition of innovative technologies to provide the means to streamline operations, communicate with customers and more effectively compete in the new inform...

This work analyzes firm-level investment in information technology and corresponding productivity through the use of a production function over the period from 1995 to 1997. The results are then compared to previous studies that utilized similar data and methodologies to compare productivity estimates over time. The analysis indicates that investme...

This work analyzes firm-level investment in information technology and corresponding productivity through the use of a production function over the period from 1995-1997. The results are then compared to previous studies that utilized similar data and methodologies to compare productivity estimates over time. The analysis indicates that investment...

The authors bring a dual perspective—that of a practicing consultant and that of a professor of economics—to the complex strategic questions facing managers and corporate leaders who want their firms to get the most out of their investments in information technology. The information economy is built upon the myriad and sometimes unforeseen ways in...

The world of commerce has undergone a transformation since the early 1990s, which has increasingly included the utilization of information technologies by firms across industry sectors in order to achieve greater productivity and profitability. In other words, through use of such technologies as mainframes, PCs, telecommunications, state-of-the-art...

The world of commerce has undergone a transformation since the early 1990s, which has increasingly included the utilization of information technologies by firms across industry sectors in order to achieve greater productivity and profitability. In other words, through use of such technologies as mainframes, PCs, telecommunications, state-of-the-art...

Forecasting and “what if” mining generally incorporates the application of regression and neural network methodologies. In certain cases, for more simple applications, univariate forecasting methods can be used. Forecasting procedures are more affiliated with time series data or historic data that extend back in time (e.g., monthly periods over sev...

The previous chapter introduced the evolution of the information economy as it addressed the progress of commerce from “brick and mortar” to “click and mortar” corporate initiatives. The key to the success of this process lies in the management of data by transforming it into usable information and applying appropriate business strategy. This chapt...

Over the years, the term data mining has been connected to various types of analytical approaches. In fact, just a few years ago, let’s say prior to 1995, many individuals in the software industry and business users as well, often referred to OLAP as a main component of data mining technology. More recently however, this term has taken on a new mea...

The world of commerce has undergone a transformation since the early 1990s, which has increasingly included the utilization of information technologies by firms across industry sectors in order to achieve greater productivity and profitability. In other words, through use of such technologies as mainframes, PCs, telecommunications, state-of-the-art...

Forecasting and “what if” mining generally incorporates the application of regression and neural network methodologies. In certain cases, for more simple applications, univariate forecasting methods can be used. Forecasting procedures are more affiliated with time series data or historic data that extend back in time (e.g., monthly periods over sev...

Two core business strategies throughout the realm of commerce, which take their root from traditional economic theory, involve the incorporation of marketing, advertising and pricing policies for corresponding products and services. The determination of optimal strategies for each of these concepts is crucial since they account for the success or f...

Predicting the future is always a difficult task, of course that depends on how far into the future one attempts to delve. With regard to data mining, there’s no doubt the future should entail some interesting new applications that seek to enhance the process of discovering patterns and relationships existing between variables underpinning a given...

The world of commerce has undergone a transformation since the early 1990s, which has increasingly included the utilization of information technologies by firms across industry sectors in order to achieve greater productivity and profitability. In other words, through use of such technologies as mainframes, PCs, telecommunications, state-of-the-art...

I recently read an article about words and terms that evolved exclusively from the American culture. This piece traced the history of American-born verbiage throughout the 1900s and into the year 2000. Not surprisingly, many of the words that appeared in later years were some of the most pervasive buzzwords and terms of our Web-wild culture: e-busi...

Two core business strategies throughout the realm of commerce, which take their root from traditional economic theory, involve the incorporation of marketing, advertising and pricing policies for corresponding products and services. The determination of optimal strategies for each of these concepts is crucial since they account for the success or f...

Predicting the future is always a difficult task, of course that depends on how far into the future one attempts to delve. With regard to data mining, there’s no doubt the future should entail some interesting new applications that seek to enhance the process of discovering patterns and relationships existing between variables underpinning a given...

The previous chapters have given you some background on the core components of corporate IT systems along with software technology that promotes “business intelligence” throughout an enterprise. This included a good foundation on the high end analytical portion of information systems, namely data mining technology. All this sounds fantastic, state-...

Up to now we have presented the fundamental building blocks to understanding the concept of data mining and addressed the prevailing applications within the corporate environment including both the “brick and mortar” style and e-commerce spectrums. The process does not stop here however. In order to implement mining on an enterprise basis, firms mu...

Over the years, the term data mining has been connected to various types of analytical approaches. In fact, just a few years ago, let’s say prior to 1995, many individuals in the software industry and business users as well, often referred to OLAP as a main component of data mining technology. More recently however, this term has taken on a new mea...

The previous chapter introduced the evolution of the information economy as it addressed the progress of commerce from “brick and mortar” to “click and mortar” corporate initiatives. The key to the success of this process lies in the management of data by transforming it into usable information and applying appropriate business strategy. This chapt...

Despite the research written, the software developed and the business applications that can be enhanced by it, the terms data mining and multivariate modeling continue to stoke uncertainty, complexity and sometimes fear in business managers and strategic decision-makers across industry sectors. Why is this? There are a number of reasons to cite, bu...

The world of commerce has undergone a transformation since the early 1990s, which has increasingly included the utilization of information technologies by firms across industry sectors in order to achieve greater productivity and profitability. In other words, through use of such technologies as mainframes, PCs, telecommunications, state-of-the-art...

“The house always wins” is a common reprise for the empty pocket tourist leaving the gambling tables at Vegas. You do not need to be a professional gambler to understand that the house always wins because the odds are stacked in their favor. Unfortunately, the recent conditions in the financial services industry have been tighter than the quarter s...