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Planning for Higher Education Journal

Published
May 15, 2020

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Reduce Curriculum Costs While Increasing Student Enrollment

Optimizing Academic Balance Analyses Let Kentucky Institutions Stay Competitive

Results of the study supplied evidence needed to support tough institutional decisions. The 13 Kentucky colleges and universities that participated in the research now have critically important data to use in making choices about how they best serve their students, maximize scarce resources, and sustain financial stability.

From Volume 48 Number 3 | April–June 2020

Abstract: An Optimizing Academic Balance (OAB) analysis provides colleges and universities with effective tools to use in making strategic academic decisions needed to stay competitive in the context of institutional mission, program quality, market potential, cost, and revenue. The Association of Independent Kentucky Colleges and Universities recently completed a three-year statewide OAB project with the participation of 13 higher education institutions. The results supported the colleges and universities in making tough decisions.


A Follow-Up

An introduction to the Optimizing Academic Balance process and early results of the research were published in the 2015 Planning for Higher Education article, “Reshaping Your Curriculum to Grow the Bottom Line,”. The current article, with final research data, represents the study’s wrap-up report.

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Planning for Higher Education Journal

Published
April 16, 2020

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Can You Trust Your Eyes?

Learn How to Minimize Misinterpretation of Data Reports and Visualizations

Volumes of data are available to administrators to support decision-making. But that doesn’t mean that what’s been presented is accurate. When data are misused or misconstrued, senior leaders at higher education institutions may make the wrong conclusions, ineffective policies may be enacted, and students may not be successful in completing their academic goals.

From Volume 48 Number 2 | January–March 2020

Abstract: Data analytics related to student and institutional performance have evolved quite rapidly—and continue to advance—as the field of data science captures more attention across the higher education sector. And while data-informed decisions can help institutional leaders achieve their goals, there are increasing examples of analyses or visualizations that, when presented without the proper framework, result in misinterpretation and inaccurate conclusions. Context is critical, and erroneous deductions may lead to decisions that adversely affect student performance, program development, and policy changes.

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Conference Presentations

Published
July 14, 2019

2019 Annual Conference | July 2019

Problem-Solving Skills

Identifying and Using Your Team's Creative Strengths

Abstract: FLEXSpace—The Flexible Learning Environments eXchange—and the Learning Space Rating System (LSRS) are tools that can help you plan, design, assess, and improve learning spaces on your campus. In this session, you will learn about the newly released FLEXspace 2.0 along with the LSRS. We'll cover the features and benefits of both tools and how they can be incorporated into the planning process. Come learn how to use these tools to inform designs and support end users from planning through post occupancy.

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Planning for Higher Education Journal

Published
July 1, 2018

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Using Positive Turbulence for Planning and Change

As higher education leaders, we must take charge of our destinies and shape our industry by harnessing the forces of positive change using innovative, intentional approaches.

From Volume 46 Number 4 | July–September 2018

Abstract: Today we find our institutions barraged by the forces of change, and dutifully we respond. Over time, however, we end up molding our institutions to these forces to our own peril, and now U.S. higher education is on the ropes, so to speak. We believe education leaders should take hold of our destinies and shape our industry not by the forces of lackluster government policy, self-serving press and media, and for-profit mega corporations, but to serve true learning and personal growth. There are many tools we can use to lead change. This article introduces the concept of Positive Turbulence, an intentional, disruptive approach for positive change, to the education industry.

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Planning for Higher Education Journal

Published
July 1, 2017

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Instituting a New Degree Program

A Case Study of University Planning

Change in higher education rests on the skills of administrators and their knowledge of the strengths and weaknesses of various planning approaches described in this case study.

From Volume 45 Number 4 | July–September 2017

Abstract: The past two decades have seen great social change and both massive consolidation and expansion of institutions of higher education, clearly presenting circumstances warranting the use of formal approaches to planning. Varying planning theories, past failures and successes, and differing circumstances have generated several partially contrasting planning models to guide organizational change. Therefore, institutions of higher education have a variety of such approaches from which to choose. This article presents a case study illustrating the use of several approaches to planning that is distinctive because it relies heavily upon experience-based planning, examples of which are unfortunately lacking in the literature base.

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Planning for Higher Education Journal

Published
April 1, 2017

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Responsibility Center Budgeting and Management “Lite” in University Finance

Why Is RCB/RCM Never Fully Deployed?

Despite its promise of revenue generation, cost reduction, and a host of other benefits, what is it about RCB/RCM that leads universities to deploy it only partially?

From Volume 45 Number 3 | April–June 2017

Abstract: After its first application nearly 40 years ago, responsibility center budgeting/responsibility center management (RCB/RCM) is now in place at nearly 70 major North American universities. An unstudied fact is that despite its popularity RCB/RCM is rarely deployed to its fullest extent. Instead, it usually exists in parallel with conventional planning and budget models. This study asks why, instead of fully implementing RCB/RCM, universities have chosen to apply it partially. The study finds multiple explanations. On the revenue side, some universities hold back a portion of income to create funds that are used to underwrite institution-wide strategies or subsidize mission-central academic programs that cannot be fiscally sustained under RCB/RCM. In other cases, revenue is held back to fund shared “public utility” services, while in still others the practice of holding back revenue for allocation by some other means is due to difficulty in drawing a functional line between the “academic” and the “non-academic.” On the cost side, some universities have limited the application of RCB/RCM in order to limit market behavior and forestall “fragmentation” (Burke 2007). The study points to several problems in both the practice and theory of RCB/RCM. For example, models meant in theory to complement RCB/RCM may in practice compete with it or promote monopolistic behavior.

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Planning for Higher Education Journal

Published
July 1, 2016

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A Call to Action for Student Success Analytics

Optimizing student success should be Institutional Strategy #1.

From Volume 44 Number 4 | July–September 2016

Abstract: Student success analytics promise to dramatically improve our capacity to increase student success across the entire spectrum of the student life cycle and throughout the student experience. Institutions will move beyond institutional accountability statistics to improve performance at the level of student success processes, practices, and interventions. Ultimately, these new processes, practices, and interventions promise to enable institutions to reinvent and personalize approaches to success.
By leveraging analytics and data science, leading-edge institutions “optimize” student success for individuals and cohorts by making student success a mission-critical, overarching institutional strategy. “Student success science” is a critical ingredient in reimagining higher education. This article provides a road map for institutional leaders on how to raise their analytics IQ so that they can leverage these practices to better serve their students, improve performance, and demonstrate value.
The use of analytics is potentially a key ingredient in sense making and decision making in all aspects of institutional performance and is critical in improving student success. Enlightened higher education leaders are committing to analytics and data science that deliver active interventions that improve student success.

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Planning for Higher Education Journal

Published
January 1, 2011

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Planners as Sensemakers and Sensegiver

Reshaping Austerity in College and University Planning

Within the context of austerity, the future role of planning offices is uncertain.

From Volume 39 Number 2 | January–March 2011

Abstract: Before the recession, planning offices were the workhorses supporting institutional growth strategies by translating the ambitions of senior administrators into action. However, the recession derailed many institutional ambitions; austerity suddenly supplanted growth. The future role of planners seems uncertain beyond operationalizing short-term damage control. Yet this article asserts that planners are uniquely positioned to assume an essential role in colleges and universities: sensemakers and sensegivers. Through sensemaking and sensegiving, planners can focus institutional dialogue on the meaning of austerity. Instead of accepting resource constraints as a ubiquitous rationale for retrenchment, planners can guide institutional dialogue toward acknowledging that new constraints merely discipline earlier ambitions within new parameters.

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Planning for Higher Education Journal

Published
October 1, 2009

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Enriching Planning Through Industry Analysis

The authors perform an ‘industry analysis’ for higher education, using the five forces model of M.E. Porter.

From Volume 38 Number 1 | October–December 2009

Abstract: Strategic planning is an important tool, but the sole dependence on it across departments and campuses has resulted in the underutilization of equally important methods of analysis. The evolution of higher and postsecondary education necessitates a systemic industry analysis, as the combination of new providers and delivery mechanisms and changing social parameters gives rise to increased competition and innovation. This article tests the applicability of Porter’s five forces model to the higher education industry. While the model provides significant insight into the industry, it has been revised in this article to incorporate government as a prominent sixth force in the analysis.

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Planning for Higher Education Journal

Published
October 1, 2009

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Culture, Context, and the Pursuit of Sustainability

Contemplating Problems, Parameters, and Possibilities in an Increasingly Complex World

No more ‘business as usual’; we must understand the importance of place and culture, and engage in our design work responsibly and with great innovation.

From Volume 38 Number 1 | October–December 2009

Abstract: Modern design and planning are routinely confounded by endemic conditions of deep fragmentation, rampant bureaucratization, and ineffective regulation. Such barriers hamper our ability to succeed in the execution of responsive, responsible, and superb ventures. Added to the mix are cost escalation, outdated technologies, cumbersome techniques, conservative posturing, and the damages of “value” engineering. In such a milieu, it becomes extremely difficult to move from concept through construction with clarity, continuity, and even integrity. Abandoned are often the inspiring, enduring, and delightful qualities that elevate buildings to Architecture. Innovative mindsets and methods must be realized to improve the quality of our built environments, especially considering resources are limited, expectations are soaring, and the need for change is non-negotiable. The author presents a holistic integrative framework for more successful and sustainable environmental design. Included are considerations of agility, fitness, diversity, and delight—aspects that loom large in equations for ingenuity in contemporary times.

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