If you go into a situation expecting to fail, you will fail. If you go in expecting to succeed, you are more likely to succeed. If you go into it fearing losing, you are more likely to lose.
If two evenly matched teams clash on the field of play, which team is more likely to win? The team that went into the game with a winning attitude.
If you expect to victorious, you’re odds of being victorious are greater. The late legendary football coach, Bear Bryant, went into each game with a winning attitude, and it was said that his winning attitude was worth at least one touchdown for the Crimson Tide.
Ziz Ziglar wrote, “You were born to win, but to be a winner, you must plan to win, prepare to win, and expect to win.”
By cultivating a winning attitude, you will be sustained even when the odds seem stacked against you.
Don’t Connect Your Household Solar Panels To The Grid For Net Metering – Use Them To Charge Your ZEV To Reduce Greenhouse Gas Emissions.

If you really want to help the environment by reducing greenhouse gas emissions, use household solar panels to charge a battery wall in your garage during the day that charges your ZEV (zero-emission vehicle/car) during the night (see link below).
https://fee.org/articles/zero-emission-vehicles-can-increase-air-pollution-study/
In Indiana, 70% of the electricity is generated by coal (see link below).
Therefore, a Zero Emissions Vehicle charged off the grid in Indiana, will create more air pollution than a modern, fuel-efficient gasoline-powered automobile. Charging your ZEV off the grid in Indiana is like using 70% coal to power your car! That’s dirty!
https://www.eia.gov/state/analysis.php?sid=IN

Electric Utility Return on UpTime Calculation Proposal
This is In response to someone’s demand for a Return on Investment Calculation for electric utilities.
I propose a Return on Up Time Calculation. What is the value of 99.8% uptime compared to 96% uptime? How much more would you pay to have electricity 99.8% of the time compared to 96% of the time? To the casual observer, 3.8% is not a large number. But to business and industry that represents 10 business days and to a residential customer that represents 15 calendar days.
Business and Industry
What would be the cost of area businesses if they could not conduct their operations if they had no electricity for 2 out of every 48 weeks of normal operations? Reduce their current gross sales by 4%. If the firm’s normal net operating margin is 15% of gross sales, and their gross sales declined by 4%, then how much would the lose?
- Assume $30 million in normal annual gross sales and 15% net operating margin, then their net profit is $4.5 million.
- Reduce gross sales to $28.8 million, their new net is $4.32 million.
- Therefore, it they are willing to pay 85% of a cost to reduce the risk of losing another $180,000 in net profits per year, then they should be willing to pay $153,000 per annum for 99.8% uptime, or $12,750 per month.
Residential
What is the cost to residential customers of not having electricity 15 calendar days out the year?
- Lost Food from lost refrigeration. 97.75% of US households, 48.75 million, do not have an automatic backup generator. (Source Wall Street Journal, November 6, 2012) http://online.wsj.com/news/articles/SB10001424127887324894104578103334072599870
- Assuming that most of the 97.75% of homes have homeowners or renter’s insurance, residential customer is still out the $250-$500 deductible on their insurance for lost food, unless they pay more for a special appliance or loss of power rider.
- The U.S. CDC recommends that perishable food be disposed of after 48 hours in an unopened refrigerator or freezer during an extended power outage. Without insurance, the average household would lose $300 in perishable food (USDA) after a 2-day power outage.
- How many citizens die when the electricity is off for an extended period of time? The U.S. CDC reports that during an average year in the U.S. 430 deaths are attributable to non-fire related CO poisoning from temporary heat sources during power outages. If 430 people die when the uptime is 99.8%, how many would die if the uptime dropped to 96%?
- If 430 out of 317 million die at 99.8% uptime, then 1,585 would die at 96% uptime.
White Paper No. 1 – Curriculum Quality
ELAF 786 Academic Leadership in H.E.
Summary 1 – Curriculum Quality
By: Ronald M. Oler, Ph.D. – First Published on September 13, 2006
The quality of the curriculum will have an effect on the overall quality of the academy. Poorly planned courses with poor connections to overall program objectives will lead to a reduced quality experience for the students and faculty. Therefore, curriculum quality is a key concern among all stakeholders of higher education – from policymakers to administrators and faculty to students and their parents. Some contemporary measures of curriculum quality include the following:
Faculty Salaries
Student to Faculty Ratios
Class Sizes
Student Preparedness, i.e. SAT/ACT and/or Entrance Exam Scores
Faculty Credentials
Faculty Loading
Faculty Teaching Experience
Course Connectedness to Program Objectives
Relevance and Applicability of a Given Degree Program
Employability of Graduates
Facilities and Equipment
This is neither an exhaustive list, nor a hierarchical one. However, this list would provide a good foundation to use to develop metrics for comparing different program areas of study and different institutions. It should also be noted that this list applies to contemporary higher education. In the early days of America’s history, its colleges taught mostly Latin, Greek, and Hebrew as their young male students were there to study for either the clergy or law. It is because of the varied program areas of studies in the late twentieth and early twenty-first century that society has sought to measure quality using the above listed rubrics.
However, my inquiry would be how to effectively weight each item of interest. For example, is it more crucial for quality that class size be small, which could increase the total number of courses being taught, or would it be better to increase class size and reduce the total number of courses being taught by each full-time faculty member. In other words, if faculty loading calls for a full-time professor to teach 4 courses with an average class size of 15 students, would quality improve if the same professor taught only 2 courses with 30 students in each? Which would be of higher quality? Sixty students, paying the same amount of tuition, would be taught by the same professor using either example.
I believe that overall quality would improve if the professor had only two preps per week instead of four. However, in order for this to work, students would have to be academically prepared, which is another quality issue. I suppose that a complete system would need to be developed in order to improve the overall quality of the curriculum.
Another concern is to always keep the abilities of the student in the forefront when designing curriculum. Students should be admitted to program areas of study only after they have met all prerequisites, including remedial coursework as needed. Serving the students should be the key determinant in measuring curriculum quality. The curriculum should meet the student where they are, then propel them to where they want to be.
White Paper No. 2 – Faculty Productivity
ELAF 786 Academic Leadership in H.E.
Summary 2 – Faculty Productivity
By: Ronald M. Oler, Ph.D. – First Published on October 4, 2006.
Measuring Faculty Productivity is a sensitive topic in academe and it seems to have shifted over recent decades from the individual’s to the institution’s perspective. Every institution will have its own rubrics for measuring faculty productivity. Some larger institutions, especially research universities, will be divided into colleges and schools which may have a different set of rubrics. Furthermore, these colleges and schools may be sub-divided into departments and programs. Therefore, no one simple tool exists with which all faculty can be measured. Productivity must be calculated in light of the individuals, programs, departments, schools, colleges, and university’s mission, vision, and goals.
Working toward agreed-upon and well-defined short- and long-term goals, that lead to fulfillment of a group’s goals should be the first rubric in measuring faculty productivity. Because goals lead to mission fulfillment and mission fulfillment lead to the success of the institution, which should be the end game. The following are some areas that should be considered when creating a formula to measure faculty productivity:
Evidence of working toward and meeting or exceeding the faculty member’s individual goals and objectives
Evidence of working toward and meeting or exceeding the group’s goals and objectives including:
o Teaching load
Quantity of courses taught
Quality of instruction (measured by students, peers, and supervisors)
o Research load
Number of publications
o Service load (both internal and external to the institution)
Quantity of student advising
Quality of student advising
Departmental meetings attended and level of participation on committees (also ties into service load)
Office hours posted and kept
o Continuing education
o Conferences attended and presentations delivered
Further development of a rubric for measuring faculty productivity would include weighting or factoring the items listed above by rank of importance to the faculty member and their working group – program, department, school, college, etc. Also, any rubric developed to measure faculty productivity must also consider quality in the mix. Some evaluative measure of the quality of teaching, research, and service must also be considered.
Also, some stakeholders have recommended that student learning, persistence, graduation rates, and employment after graduation statistics should also be factors when measuring faculty productivity. But, student persistence, graduation rates, and employability will include factors outside of the faculty’s control including: socio-economic status, cognitive abilities, personal preferences, and other choices and activities pursued by the students. In closing, faculty should only be held accountable for those factors they can control.
White Paper No. 3 – Issues Facing Academic Leaders
ELAF 786 Academic Leadership in H.E.
Summary 3 – Issues Facing Academic Leaders
By: Ronald M. Oler, Ph.D. – First Published on October 25, 2006
Academic Leaders face challenges from inside and outside the academy.
Forces within include:
Financial Management – Budgeting
o Increased Costs
o Declining Revenues
o Finding More Funding Sources to fill-in the Gap
Just to Maintain Quality, Access, and Efficiency
Quality of Instruction
o Credentialed Faculty
o Equipped Labs and Classrooms
o Transfer Agreements
Staffing Issues
o Employee Turnover
o Consistency
Forces from outside include:
Increased Expectations by Stakeholders
o More and Better Courses
o More and Better Faculty
o More and Better Students
o More and Better Facilities
o Smaller Class Sizes
Accrediting Bodies
Peer Pressure among Similar Institutions
Governments
o Federal Regulations
o State Regulations
o Local Regulations
These are just a few of the internal and external pressures academic leaders are feeling in twenty-first century America. Balancing these forces seems to be a never ending job that serves to reduce their tenure. Someone observed that the average term of an Academic Dean is only six years. It seems that leading an academic group may not be as rewarding as some would expect.
Variations in all aspects of academic leadership are endemic to their perspective institution. At Ivy Tech Community College we cannot afford to hire another full-time faculty member for academic areas of greatest recent growth, because state appropriations are tied to four-year rolling FTE averages. By the time we have funding to hire a new faculty member that particular area may have stabilized or even lost enrollment. By contrast, Harvard University’s endowment is so large that if they received a paltry 3.5% return on their investments, they could fund 100% of their total annual operating costs, including paying all student tuition, without affecting their principal balance.
Financial pressures seem to be the most burdensome for academic leaders and most all other issues appear to be tied to money. Hiring more faculty requires more money, improving labs takes more money, conforming with more governmental regulations takes more money, etc. Therefore, it seems prudent that the best academic leaders of the future will be proficient fund-raisers. They must know how to fill-in-the-gap between declining revenues and increasing costs through philanthropic activities (fund raising). I hope that my experiences working with our Foundation Office, creating a new project last spring, served to educate me in this regard.
White Paper No. 4 – Leading Change in the Academy
ELAF 786 Academic Leadership in H.E.
Summary 4 – Leading Change
By: Ronald M. Oler, Ph.D. – First Published on November 8, 2006
A television commercial depicting cowboys herding cats was created as a marketing tool for EDS, Incorporated several years ago (http://video.google.com; search for herding cats). This allegory could also be applied to leading change in academia. People, like cats, each have their own ideas of how their lives should be organized. Some like to sit around doing very little, while others are constantly bounding around stirring up a cloud of dust wherever they tread. And, herding them all together, heading in the same direction, is nearly impossible. Most will scatter to and fro towards their personal preferences and away from any new system-wide initiatives.
Differences of opinions and experiences serve to make academia the rewarding institution it has become. However, these same forces make it very difficult to manage, or to lead change. So, leading change, managing multiple academic disciplines is akin to herding cats.
The following list shows some skills, competencies, and tools that the effective academic leader will need to master in order to be successful at leading change:
Clear understanding of their institution’s governance structure, policies, and procedures
Flexible and adaptable
Skilled trust builder
Ability to manage multiple resources
Excellent priority setting skills
Consensus builder
Strategist
Thick skinned
System thinker
Culturally aware
Accepting of diversity of ideas and behaviors
Political prowess
Good listener
Be a walker, not a sitter – get out of the office and meet people in their spaces
Act like a goodwill ambassador
Skilled decision-maker and problem-solver
Able to differentiate between the tyranny of the moment and true long-term problems
Skilled critical thinker
Most academic departments on today’s college and university campuses behave more like small entrepreneurial groups than departments of a larger organization. Therefore, changing their behaviors must be tied to some type of reward system – faculty must be able to see how the change will positively affect their futures. The chief academic officer must act not only as a team leader but also as the CEO of a diverse conglomerate.
Balancing every department’s wants and needs with those of the larger organization takes a lot of patience and skill. Balancing also involves changing they way we think; from “my department” to “our institution.”
Affirmative Builders Needed.
Many people, having made the choice to increase their independence and autonomy, as a defensive response to perceived injustice and hypocrisy; now find it impossible to become affirmative builders. By consciously or unconsciously making this choice, they have locked out their positive creative intellects and allowed only destructive thoughts to flourish. They have cast themselves into negative detractors instead of affirmative builders. What the world needs now is more affirmative builders and fewer negative detractors. The transition will not be easy and can only begin when they realize their error; but change is possible. A brighter future is out there for those to choose to serve others first.
Affirmative builder where are you?