
Daniel J. PowerUniversity of Northern Iowa | UNI · Department of Management
Daniel J. Power
Doctor of Philosophy
About
95
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Introduction
Daniel J. Power is a Professor of Information Systems and Management at the College of Business Administration at the University of Northern Iowa, Cedar Falls, Iowa. He is also the editor of DSSResources.COM, the Web-based knowledge repository about computerized decision support and analytics, the editor of PlanningSkills.COM, and the editor of Decision Support (DSS) News, a bi-weekly e-newsletter. Power is a pioneer developer and programmer of computerized decision aiding systems. During 1975-77, he developed a computerized system called DECAID, DECision AID. In 1981-83, he reprogrammed and expanded the system for the Apple II PC.
Publications
Publications (95)
Digital innovations are disrupting the accounting profession, and this disruption is likely to increase. Artificial Intelligence (AI) applications, blockchain, and decision support technologies are moving beyond the "hype" stage to adoption in the accounting profession. While accountants are gaining a greater understanding of these technologies, th...
The right to privacy has been discussed by scholars in multiple disciplines, yet privacy issues are increasing due to technological advances and lower costs for organisations to adopt smart surveillance. Given the potential for misuse, it seems prudent for stakeholders to critically evaluate Surveillance Analytics (SA) innovations. To assist in bal...
Major shifts have occurred in the past 70 years in the deployment of decision support applications. Now it is possible to deploy innovative and traditional Decision Support Systems (DSS) and decision algorithms using Cloud architectures and technologies. Cloud deployment with hand-held, mobile-device platforms is encouraging decision support experi...
This work introduces a formation and variety of decision-making models based on operations research modeling and optimization techniques in smart manufacturing environments. Unlike traditional manufacturing, the goal of Smart manufacturing is to optimizing concept generation, production, and product transaction and enable flexibility in physical pr...
Clinical Decision Support Systems (CDSS) is an important research area. With an increase in focus on digital health globally, the area of CDSS continues to grow. However, based on our preliminary literature investigation evidence suggests that it is difficult to determine the scope and ambitions of CDSS research. This is primarily due to the substa...
Looking forward, the goal of this article is to stimulate discussion and encourage novel thinking about computerized systems. Looking back 60 years, this article reviews definitions and research related to the decision system concept and associated terms like automated decision system (ADS) and decision support system (DSS). This historical perspec...
Evidence-based decision making seems both desirable and rational. New analytical tools for investigating ‘big data’ promise to provide additional unbiased evidence. Concurrently, technological advances for improving decision making reopen issues related to facts, biases, and beliefs. For many years, decision support systems and technologies have ha...
ABSTRACT Searches of the Web using Google, and database searches of the academic and practitioner literature, return a large number of differing and varied definitions of the concept of business analytics. This article reviews the growing literature on Business Analytics (BA) using traditional and qualitative research tools. Our searches included u...
Data is captured and analyzed for many purposes including supporting decision making. The expansion of data collection and the increasing use of data-driven decision support is creating a data-driven, global political, economic and social environment. This emerging global society is highly interconnected and many people rely on information technolo...
Digital technologies are transforming operations, products and services in organisations large and small. The digital transformation of organisations is extolled as a solution to organisational challenges related to both efficiency and effectiveness. To date, there has been limited consideration of the challenges of successfully operationalising a...
A post-industrial revolution is encouraging the deployment of novel concepts both for designing smart factories and for creating a new generation of monitoring, control and man-machine collaboration systems. In general, companies are embracing an era of smart manufacturing built upon Cyber Physical Systems (CPS), the Internet of Things (IoT), and C...
Manufacturing in developed nations must incorporate more data capture and decision support to control costs and maintain product quality. Digital transformation of manufacturing means production must be transformed using technologies like robotics, Internet of Things (IoT), Intelligent systems, and real-time analytics. Smart manufacturing means all...
Digital transformation is creating massive changes in organizations and society. Information technology (IT) professionals are providing the technical expertise to implement new business models, change processes, systems and operations. Shortages of IT staff and voluntary turnover jeopardize digital transformation projects and create a competitive...
Analysis of data with business analytics is an integral component of a successful organizational digital trans-formation strategy.14 Business analytics refers to a set of innovative tools and techniques used to generate insights from large, diverse data sets. The use of analytics can offer individuals, organizations, govern-ments, and the global so...
The sharing economy phenomenon is disrupting traditional organizations. Sharing concepts coupled with e-Learning can and likely will disrupt higher education. We explore the sharing phenomenon and compare and contrast it with online and blended education. We conclude more effective use of sharing technologies and better course content, innovative i...
Supporting decision making is an important and potentially transformative research topic that is challenging for academic researchers to study. Anecdotal evidence suggests that computerized decision support systems (DSS) can improve decision quality and change the structure and functioning of organizations. To make progress in our understanding of...
Management Information Systems (MIS) is now in its fifth decade as a discipline. In 1966, Professor John Dearden and his student F. Warren McFarlan, both at Harvard University, co-authored the book "Management Information Systems: Text and Cases". Dearden and McFarlan’s book is a landmark in the teaching of computerized information systems. A few y...
Management Information Systems (MIS) is now in its fifth decade as a discipline. In 1966, Professor John Dearden and his student F. Warren McFarlan, both at Harvard University, co-authored the book "Management Information Systems: Text and Cases". Dearden and McFarlan’s book is a landmark in the teaching of computerized information systems. A few y...
Information Technology is enabling and facilitating dramatic changes in the region of the United States sometimes called the Heartland. The Midwest United States has always enjoyed an abundant water supply, thanks to the major rivers and lakes in the region. There is also a vast, well-maintained highway system, and in some cases an expanding transp...
Privacy, surveillance, and government abuse of data are concerns of many people in our complex digital world. ‘Big Brother’ in the title of this article is a metaphorical warning about the consequences if government uses modern technologies to maintain power and control people. Issues related to the abuse of data and surveillance are not new in the...
Data science is a new academic trans-discipline that builds on 60 years of research about supporting decision-making in organisations. It is an important and potentially significant concept and practice. Contemplating the need for data scientists encourages academics and managers to examine issues of decision-maker rationality, data and data analys...
Data is captured and analyzed for many purposes including supporting decision making. The expansion of data collection and the increasing use of data-driven decision support is creating a data-driven, global political, economic and social environment. This emerging global society is highly interconnected and many people rely on information technolo...
New data streams from social media, passive data capture and other sources are creating opportunities to support decision making. Also, data volume, data velocity and data variety continue to increase. Data-driven decision making using these new data streams, often call “big” data, is an important topic for continuing discussion and research. Given...
A business intelligence system is a data-driven decision support system. Managing data is especially important for business intelligence and analytics. Data warehouses, marts or data-driven decision support systems are intended to help managers transform data into information and knowledge. Routinely data is moved from source systems to a decision...
Chapter 1: Introduction Lakshmi Iyer and Daniel J. Power
Chapter 2: Big Data panel at SIGDSS Pre-ICIS Conference 2013 A Swiss-Army Knife? The Profile of a Data Scientist Barbara Dinter and David Douglas
Chapter 3: Creating a Data-Driven Global Society Daniel J. Power
Chapter 4: Agile Supply Chain Decision Support System Jaehun Lee, Hyunbo Cho, and...
People and the computers they use are generating large amounts of varied data. The phenomenon of capturing and trying to use all of the semi-structured and unstructured data has been called by vendors and bloggers ‘Big Data’. Organisations can capture and store data of many types from almost any source, but capturing and storing data only adds valu...
Decision-making occurs in many places. Mobile decision support provides a technology solution that enables decision-makers to bring powerful decision-aiding capabilities with them while on the go. Business intelligence and data-driven decision support especially benefit from mobile computing. The effectiveness of mobile decision support is constrai...
Real-time computerised decision support is providing timely support to business decision makers. Real-time decision support
systems (DSS) can support operational and tactical decisions, and may enhance strategic decision making in some situations.
Current systems can deliver needed data, results, and communications with essentially no processing de...
Crisis incidents occur in both business and public domains. This article focuses on non-routine incidents and explores uses of technologies for supporting crisis management tasks. A Crisis Incident Spiral of Decision Support helps identify useful decision support and information technologies. Additionally, a Crisis Incident Process/Decision Support...
Information technology continues to provide opportunities to alter the decisionmaking behavior of individuals, groups and organizations. Two related changes that are emerging are social media and Web 2.0 technologies. These technologies can positively and negatively impact the rationality and effectiveness of decision-making. For example, changes t...
This chapter places decision automation in abroader context of using information technologies in decision making. Key definitions
and abrief history of computerized decision support create important boundaries. Then adescription and explanation of characteristics
of computerized
decision support systems (DSS) clarifies this application domain. Af...
It is important for managers and Information Technology professionals to understand data-driven decision support systems and how such systems can provide business intelligence and performance monitoring. Data-driven DSS is one of five major types of computerized decision support systems and the features of such systems vary across specific implemen...
Academic researchers from many disciplines have been studying computerized decision support systems (DSSs) for approximately
40 years. This chapter briefly summarizes the history of decision support systems and provides examples of DSSs for each of
the categories in the expanded DSS framework (Power 2002), including communications-driven, data-driv...
World Wide Web technologies have transformed the design, development, implementation and deployment of decision support systems. This article reviews and summarizes recent technology developments, current usage of Web-based DSS, and trends in the deployment of such systems. Many firms use the Web as a medium to convey information about DSS products...
In some decision situations, quantitative models embedded in a Decision Support System (DSS) can help managers make better decisions. Model-driven DSS use algebraic, decision analytic, financial, simulation, and optimization models to provide decision support. This category of DSS is continuing to evolve, but research can resolve a variety of behav...
Globalization of markets is changing the structure of business enterprises and hence the need for and design of computerized
decision support systems. Trying to understand how decision support systems can and should evolve in a global business environment
is difficult, but this article draws on current best practices, examples of deployments of ava...
Many business consultants and strategy theorists consider Knowledge Management (KM) critical to the success of an organization.
While a few empirical studies have investigated the relationships among KM capability and various measures of performance,
it is still not known what KM capabilities actually affect organization performance. Also, some res...
India is becoming the "global back office" to international supply chains, creating a substantial communications and decision-support infrastructure for large and small enterprises in the global market place to utilize these resources. Decision Support for Global Enterprises consists of peer-reviewed and invited papers with two primary goals: (1) S...
The Decision Support Systems (DSS) sub-field of Information Systems research is an emergent discipline. In response to recent challenges, this article examines the progress that has been made to create some consensus about this field of study. The article also examines research needs. The overriding theme is that Decision Support Systems is a viabl...
A broad range of Inter-Organizational Decision Support Systems (IODSSs) can be built to support external stakeholders of an organization. This article examines recent developments associated with building and deploying such systems. The IODSS concept is defined, and an information technology architecture for such a system is explored. Examples of c...
A broad range of Inter-Organizational Decision Support Systems (IODSSs) can be built to support external stakeholders of an organization. This article examines recent developments associated with building and deploying such systems. The IODSS concept is defined, and an information technology architecture for such a system is explored. Examples of c...
This chapter summarizes a multidimensional approach to categorizing specific decision support systems (DSS) developed in Power (2002) and related works. The suggested approach or expanded framework emphases evaluates DSS in terms of one primary dimension and three secondary dimensions. Managers and analysts need to examine what drives the DSS and p...
Since the early 1970s, decision support systems (DSS) technology and applications have evolved significantly. Many technological and organizational developments have exerted an impact on this evolution. DSS once utilized more limited database, modeling, and user interface functionality, but technological innovations have enabled far more powerful D...
For MIS specialists and nonspecialists alike, teacher and consultant Dan Power provides a readable, comprehensive, understandable guide to the concepts and applications of decision support systems. Power defines DSS broadly: interactive computer-based systems and subsystems that help people use computer communications, data, documents, knowledge, a...
This chapter summarizes a multidimensional approach to categorizing specific decision support systems (DSS) developed in Power (2002) and related works. The suggested approach or expanded framework emphases evaluates DSS in terms of one primary dimension and three secondary dimensions. Managers and analysts need to examine what drives the DSS and p...
Abstract World-Wide Web technologies have rapidly transformed the entire design, development and implementation process for all types of Decision Support Systems. In particular, Web technologies have provided a new media for sharing information about decision support and a new means of delivering decision support capabilities. For DSS developers, t...
A wide variety of specific Decision Support Systems have been and can be built using Internet and Web technologies. This survey article is a focused and updated version of Power (2002) Chapter 11 "Building Web-based and Interorganizational Decision Support Systems". The survey emphasizes the what, how and why of building Web-based DSS. Also, Web-ba...
This review examines and compares state-of-the-art decision support technologies of the early 1980s with today’s technologies. Also, several specific examples of Data and Model-Driven DSS from the early 1980s are compared to current implementations of Decision Support Systems. Further, emerging technologies are briefly described that may be useful...
A conceptual framework for Decision Support Systems (DSS) is developed based on the dominant technology component or driver of decision support, the targeted users, the specific purpose of the system and the primary deployment technology. Five generic categories based on the dominant technology component are proposed, including Communications-Drive...
New technologies, especially the World-Wide Web technologies, have created many opportunities for research about Decision Support Systems. This paper reviews key concepts and technical issues. The technology of DSS is evolving rapidly and academic researchers need to catch-up with practitioners who are implementing innovative DSS. The paper briefly...
Understanding technological change is important for practitioners and academics who want a realistic perspective on information technology’s role in building Decision Support Systems (DSS). To develop this perspective, the DSS technology outlined by Sprague and Carlson (1982) is compared and contrasted with the technological context of current DSS....
The World Wide Web (WWW or Web) is a major new setting for Decision Support Systems (DSS) development, product information and research. This article documents and provides a structured summary of a wide variety of DSS resources available on the Web. This summary is targeted at MIS/DSS researchers and practitioners interested in designing, developi...
Little attention has been given to the fit of specific types of computerized decision aids with various decision problem situations. Information regarding this potential contingency relationship is needed both for theoretical development and for guiding practical applications. This paper reports a laboratory study of the relationships between use o...
The concept of a decision support system (GDSS) is appealing to many organizations as ways are sought to improve the productivity of group meetings. Unfortunately, the purchase or development of group decision support systems may be prohibitively expensive. This paper explores an alternative way of acquiring GDSS capabilities. First, the fundamenta...
Decision analysis tools often are used in semistructured and ill-structured situations. While some researchers have argued that computerized decision analysis programs may improve decision quality in such situations, research support for this assertion is weak.
In this laboratory study, business students used a computerized decision-analysis progra...
In this study, we introduce the term “Decision Insight System” (DIS) to describe a new class of decision support systems for microcomputers. These packages are intended to help users make complex decisions. We define what we mean by DIS and describe thirteen commercially available DIS packages. These packages are evaluated with respect to a compreh...
An executive workstation is an integrated hardware/ software system that can provide business executives with powerful capabilities for making and implementing decisions. In this paper, relevant and sometimes controversial, issues and workstation requirements are discussed in the context of a scenario that portrays an executive using a workstation....
Strategic management studies frequently involve obtaining retrospective data from strategic-level managers. The use of this data acquisition methodology has received relatively little codification and little critical review or comment. This seems unfortunate, as discussion and codification of the methodology could be useful for those academic resea...
Soelberg (1966, 1967a, 1967b) developed a job search and choice model that is interpreted here as a four-phase, sequential process. An attempt is made to clarify the model, some of its hypotheses, and the measures used in Soelberg's research. Theoretical and practical implications of the model are presented; deficiencies of previous tests of the mo...
This paper critically examines five rules for making successful acquisitions advocated by Peter Drucker. In an attempt to verify the rules, supporting and non-supporting empirical evidence, opinions and arguments are reviewed. The analysis suggests that the rules are not conclusively supported by current evidence or argument. Adopting these rules d...
A concept called information management has been discussed for many years by computer and management scientists. Implementing this concept may revolutionize organizations and have a profound effect on organizational decision making. Since the technology needed to implement sophisticated information systems is now available, managers need to address...
Thesis (Ph. D.)--University of Wisconsin--Madison, 1982. Vita. Includes bibliographical references (leaves 258-280). Photocopy.
The a priori factor structure, internal consistency reliability, and convergent and discriminant validity of R. M. Steers and D. N. Braunstein's (1976) Manifest Needs Questionnaire were evaluated for 96 registered nurses. The questionnaire exhibited generally unsatisfactory psychometric properties. Caution is urged against using the questionnaire a...
This paper describes the development and initial utilization of a Policy Data Access System called COM1 at The University of Iowa. Besides providing students enrolled in the MBA Administrative Policy course with a current data base, the system provides access to various computer routines for analyzing data and reporting findings.
Sometimes we must look backwards before moving forward. This chapter provides an overview of the field of decision support
systems (DSS), including a brief history and a progress report of a related ongoing research project. The project explores
the perceptions and opinions of distinguished DSS researchers who made significant contributions to the...
Editor, DSSResources.COM Data-driven DSS are the most common of the five types of decision support systems in the expanded DSS framework (Power, 2002). These systems provide operational and strategic business intelligence using internal company data and sometimes external data. Recall that features are identifiable capabilities or properties. A spe...
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