Showing posts with label Effectiveness. Show all posts
Showing posts with label Effectiveness. Show all posts

Monday, October 18, 2010

City Management

By: Gary J. Salton, Ph.D.
Chief: Research & Development

Professional Communications, Inc.


INTRODUCTION

Does management differ between municipalities and corporations? Municipalities are more tightly bound by legislative mandates. In addition, cities tend to be more unionized. Labor contracts more explicitly define what can and cannot be done. These factors are enough to throw up some flags. But there is more.

Municipalities are much closer to their client base than are their corporate brethren. City employees are likely to meet their constituents on the street or even live next to them. They are subject to daily scrutiny by blogs, newspapers, radio and television stations. Few corporations contend with this kind of transparency. And there is still more.

Up until recently jobs in the municipal sector have been viewed as more secure than their corporate counterpart. The popular perception is that this causes cities to attract people who value security over opportunity. If this is true it is likely to affect the kind of management that can and should be done.



This evidence-based research tests the direction and degree of the actual differences in city and corporate management. A video that examines the city executive element of this research in some detail is available on Youtube. Simply click the icon on the right to link to it.


THE SAMPLE
This study was drawn from 19 cities in 10 states. The cities ranged in size from 824 to 751,000 people. The average size was 128,900 and have a median (i.e., midpoint) of 73,900. The city data were the “I Opt” scores for 175 executives and 72 supervisors.

The corporate sample consisted of 5,476 people (executives and supervisors) for whom titles were known drawn from about 1,000 “for profit” firms. International locations are represented but the largest portion of this sample is United States based.

Management divides into two categories. Executives have distinct groups reporting to them or they head a distinct organizational function. Supervisors lead a particular group within a function.

The research base is not a random sample. But is large enough to be considered strongly indicative. The division of people by rank is believed to be reasonable in terms of the purposes of this study.


EXECUTIVE MANAGEMENT
“I Opt” scores for 175 city executives were compared to 4,963 corporate executives. “I Opt” scores translate directly into behaviors that affect management. A sampling of the behaviors predicted by “IOpt” strategic styles and patterns is shown in Table1.


Table 1
SAMPLE OF "I OPT" BEHAVIORAL CHARACTERISTICS


The average “I Opt” scores of city and corporate executives were compared. Differences were tested for statistical significance. The results are shown in Graphic 1.



Graphic 1
COMPARISON OF CITY AND CORPORATE EXECUTIVES


Graphic 1 shows that city and corporate executives are virtually identical in their decision making approach. Tests of significance confirm that both cities and firms have the same kind of people in their executive ranks. An “average” executive from either group can move to the other and—in terms of their approach to decision making—they would be indistinguishable.

Averages can hide as much as they disclose. Graphic 2 compares the proportion of city and corporate executives in three strength categories—high, moderate and low. For example, 20% of city and 15% of the corporate executives might score “high” in a style. The chart would show city employees with 33% more “high level” commitment in that style (i.e., <20%-15%= 15=" 33.3%">).

Graphic 2
CITY AND CORPORATE EXECUTIVES
"I OPT" STRATEGIC STYLE COMMITMENT


The differences in the action categories of Logical Processor (methodical action) and Reactive Stimulator (spontaneous action) are statistically insignificant. The differences could be just random variations around a common standard. Both city and corporate executives are distributed roughly equally among the three categories of strength in these action-oriented categories.

The analytical Hypothetical Analyzer (analysis, assessment, evaluation) is another story. There are more city workers with “high” levels of HA. A z-Ratio test of proportional significance shows that this difference is not a random variation. This means that if we were to take repeated samples, cities are likely to continue to have more executives in the “high” category than would corporations.

City executives also tend to clump more in the “high” category of the idea oriented Relational Innovator style (ideas, options, alternatives). The statistic just misses the academic standard (6% versus the 5% standard). However, chances are still 94 times out of 100 that the result would be the same if the sample were retaken. This is probably a real difference and is accepted as marginally significant.

The HA (analysis) and RI (ideas) are thought based strategies. The RI generates ideas and the HA analyzes them. Cities appear to attract and retain executives with high levels of this capacity. On the whole, city executives are “thinkers.”

There is another aspect of the style profile worth noting. Cities also have more people clustered at “low “ levels in these capacities (HA and RI) than do their corporate peers. Executives at opposite poles will tend to view decisions differently. For example, a person high in HA may want time to study while another low in HA could prefer to act quickly. This creates a natural source of tension as competing ideas and contesting views on the "right" way to analyze them work themselves out.

Corporate executives do not have to contend with this divergence. Their executives tend to cluster at “moderate” level of commitment. There is just less distance to bridge. This makes it easier for corporate executives to arrive at a common position. It is reasonable to expect that cities face a bigger coordination challenge among their executives than do corporations. In other words, corporations are likely to have an easier time at internal executive coordination than will their city peers.


SUPERVISORY MANAGEMENT
City supervisors differ markedly from their executive colleagues. A total of 72 city and 513 corporate supervisors were contrasted. Graphic 3 shows the results.


Graphic 3
COMPARISON OF CITY AND CORPORATE SUPERVISORS


City supervisors put most emphasis on the Logical Processor (methodical action) strategy. They exceed their corporate peers by about 14%. This is likely to manifest itself in behaviors such as greater risk avoidance, more rigidity and higher detail sensitivity. The probable behaviors also include greater precision, heightened dependability and more determination. No style is all good or bad.

The high LP commitment has a corollary. The idea oriented RI style falls about 13% short of their corporate equals. This means city supervisors are less likely to offer totally new options, engage in freewheeling idea sessions or be as tolerant of dissent.

The difference in supervisor styles are strong enough noticeable. In addition, the style differences are statistically significant. It is probable that these differences are “real” and will be “seen” in city management.

Overall, city supervisors will reinforce the popular conception of city employees. They are likely to be measured in their response, follow rules closely and be less than empathetic. Their constituents are likely to notice these qualities. The fact that they will also be reliable, stable and committed will be less visible.


OVERALL PICTURE OF CITY MANAGEMENT
City executives are likely to have more ideas than their corporate counterparts. That means more ideas competing for approval. A minority of city executives with a low inclination toward idea generation may restrain this idea overabundance. But they are unlikely to prevail. More likely, the competing ideas will have to “fight it out” for dominance. In the process, tension is likely to be generated in excess of that produced in corporations.

As matters progress, another factor comes into play—analysis. City executives appear to be over-endowed with this capacity. What this means is that the high volume of ideas will likely be subject to the full spectrum analytical options. During this stage it is likely that different analyses will compete for depth of understanding. In other words, a game of analytical “one-upsmanship” is likely to evolve. This is likely to extend far beyond that experienced in corporations. Analysis is not free. The relative cost of city decisions is likely to outpace the cost of a similar corporate decision.

And it is still not done. As proposals move from ideas to implemented programs, there is still another hurdle. City supervisors are proportionately stronger in the disciplined Logical Processor (LP) style than their corporate brethren. This is a demanding approach. The goal is “do it right, the first time and every time.” The preparation needed to satisfy this goal is also not free. Costs in terms of time and money can reasonably be expected to exceed similar programs implemented in corporations.

Is the above scenario a bad thing? Not necessarily. On important decisions that seriously affect the well-being of the cities constituencies, it could be optimal. The problem is that this is a structural condition. It will happen on even minor or even inconsequential matters. In these latter cases, city resources are being wasted.

Overall, it appears that corporations do have a structural edge. This is not because the cities lack any strategic style capability. In fact, it is just the opposite. They appear to be over-endowed with capacities in idea generation, analysis and precise execution. This extra horsepower carries with it extra costs. This includes tension in the idea phase and both time and cost penalties in the analytical and implementation phases.

Counter-intuitively, the penalties paid by cities are not due to any “weakness.” They are due to strengths. The good thing about this condition is that correcting it is only a matter of focusing and directing strength already present. This is much easier and cheaper than acquiring absent capacities from the outside.


IMPROVING CITY EXECUTIVE DECISION MAKING
The issues identified in this research are likely to resonate within the administration of many cities. There is a generic approach that is likely to help in a material way. It rests on the fact that everyone has an information processing preference. It cannot be avoided. No one can pay attention to everything around them all of the time. We all pay attention to some things and ignore others. As we do this we develop a "typical" method of processing information. This is an "I Opt" strategic style. It is what others see and react to.

An instrument that identifies strategic styles in a non-threatening, non-invasive and work-related manner will improve city functioning. The “I Opt” individual report serves that function. People can use it to share their preferences with others. Since every perspective is valid, this helps the people involved adjust their communication with each other. Transactions are smoothed.

The reason is simple. It is in everyone’s interest. A person seeking to convince another to adopt their position stands a better chance if they speak in a manner preferred by the person being convinced. The person on the receiving end gets the information in a way that they can evaluate without having to “translate” it. The more people that adopt this strategy, the smoother will be the decision transactions in which they are all engaged. No mystery, just common sense.

The general strategy outlined above has been demonstrated effective over many years. However, it has limits. It is individually oriented. The decisions in cities are group based efforts. The specific mix of people in the group matters. Improving this aspect of city governance requires tools able to assess a group as a group. In other words, ALL of the people involved interacting SIMULTANEOUSLY. And any particular mix of people may not fully reflect the national profile outlined in this research.

Further advancing city improvement requires an assessment each particular group within city government. That assessment must be quick, inexpensive and accurate. The result should be a diagnostic uniquely targeted to the specific conditions within that group. In addition, specific actions needed to remedy that group’s vulnerabilities should be specified. The “I Opt” TeamAnalysis™ satisfies these conditions. Generic team building processes may help. But they cannot match the tailored interventions provided by “I Opt” technology.


IMPROVING CITY EXECUTIVE-SUPERVISORY MANAGEMENT
If supervisory management is included in the interventions outlined above, many of the issues involved in the relation of executives to supervisors will have been resolved. But it is likely that some will remain. Again, the issue is the strength of commitment rather than the absence of a particular quality.

The supervisory levels are characterized by a virtual unanimous subscription to the Logical Processor (methodical action) strategic style. The result is a natural dichotomy of perspective between executives and supervisors.

Executives tend to value thought, integrity, creativity and compelling logic. The supervisory elements are in pursuit of perfection in execution. They tend to value and expect explicit “how to” specification. They also need time to hone a new direction to a point where they are absolutely sure it works. Finally, they need to see how the new course “fits in” with all of the other things they have to do. When these conditions are met they are able to execute a course of action with precision.

City supervisors will probably view the executive’s efforts as a half-baked effort. For them, the job is done when detailed, step-by-step procedures are in place and fully tested. Executives are likely to believe the job done when plans have been laid, approvals received and responsibilities delegated. A likely outcome of executive-supervisory relations is tension. One party sees the job as done—only execution remains. The other sees a giant gap that remains unfilled.

Viewed in this manner it is obvious that nether city executives or supervisors are “right” or “wrong.” The issue lies in the interface between the two groups. And the gap between the groups is broader than that experienced in corporations. In corporations the groups are distinct but closer together.

Again, identifying the differences in decision making processes will help inform both parties as to exactly what is “going on” between them. Here, a little more effort devoted to why the processes favored by executives and supervisors are both necessary to effective city functioning is probably warranted. The LP style favored by the supervisors is naturally skeptical and will probably require some additional effort to actually “take.” However, once it does a new level of understanding is gained. Experience in applying “I Opt” technology almost invariably creates an insight that automatically improves tolerance for different views. This outcome alone is enough to improve the functioning and productivity of city government.

Further gains are available by helping executives adjust the nature and way their direction is given. The natural tendency will be for executives to follow the “golden rule.” It they do, they are likely to miss the mark. A better alignment of the direction to the needs of the people getting those directions can go far. This is a simple but not an obvious process. A bit of outside counsel explaining what needs to be done, why it is needed and how to go about it is all that is usually required.


SUMMARY
Cities face a managerial challenge. It exists within the executive ranks and between the executive and supervisory ranks. The difficulty is founded in strength, not weakness. The strength of all parties can make the relationship between functions and levels a challenge.

The challenge cities face is greater than their corporate counterparts. This translates to more opportunity. Improving things by 25% means more when that 25% is multiplied by a big number than a small one. This means that it is wise for cities to invest in organizational interventions to a greater extent than do their corporate kin. This is common sense, it is not rocket science.

“I Opt” technology is designed to be accessible to everyone. However, city executives and supervisors have much to do. Spending time personally assessing the implications of their strategies is bound to be low on the “to do” list. Providing them help in condensing, digesting and implementing effective improvement strategies would seem to be a smart. A small investment can yield high and continuing dividends.

The benefit for the organizational intervention strategies will accrue to all involved. Things get done faster and at less expense. City workers get a more hospitable, effective and efficient environment. Citizens would see a workforce more attuned to their needs. The investment in improving organizational functioning is small. Yet it could be one of the most effective tools available for helping cities meet the challenges of difficult economic times.

Monday, September 14, 2009

Split Style: A Two Edged Sword

By: Gary J. Salton, Ph.D.
Chief: Research & Development

Professional Communications, Inc.


INTRODUCTION

This research blog is intended for scholars and advanced practitioners of “I Opt” technology. It delves deeply into the split style pattern, an analytical concept unique to “I Opt.” It offers hard data evidence as well as interpretive analysis. People who have a more casual interest in split styles are encouraged to view the summary video on the iopt.com website or on YouTube. It is more accessible than the evidence-based research shown here.


WHAT IS A SPLIT STYLE?
Information controls behavioral options. You cannot be precise if you do not have detail. You cannot envision far distant futures if all you have is detail. Information determines possible behaviors. This is not a speculation. It is a certainty.

A split style is a name given to a particular strategic profile that favors two diametrically different information processing strategies. In other words, they differ on both the input and output dimension. Since information determines behavior, this choice causes behavioral sequences that appear to be contradictory. In one situation, the split style may choose a cautious option. The very next situation may be virtually identical but the individual elects to act suddenly with out forethought.

An outsider viewing the behavior generated by this combination over time would likely conclude that the person chooses to behave in an inconsistent fashion. In other words, the assumption is that the individual evaluated the situation in the same manner yet choose a opposite course. The natural outcome of this assumption is that the evaluation mechanism being used is faulty.


From an information processing perspective, there is no fault or deficiency. The person just chose to pay attention to different aspects of similar situations. Graphically, a split style means that the primary and secondary style lying at opposite poles on the standard “I Opt” diagram. Graphic 1 shows that this can happened on either of the two primary axes.



Graphic 1
EXAMPLES OF SPLIT STYLE PROFILES
(Actual profiles from Database)
It is useful to explain what is happening. The Hypothetical Analyzer and Reactive Stimulator combination is termed the HA/RS split. A person using this strategy will at times adopt the HA’s cautious, detail-oriented posture focused on producing a plan, assessment or other similar thought-based outcome. At other times they may elect the RS’ fast response based on minimal information and expedient methods. If seen in sequence over a period of time these alternating postures could suggest a contradictory behavioral pattern.

The Relational Innovator and Logical Processor (RI/LP) split produces different set of behaviors. Here the person may choose the cautious, detail-oriented posture focused on the precise execution of the LP. This action posture alternates with an RI output of ideas or new options spontaneously generated from any available information. Again, over time the only visible pattern is contradictory behavior.

People base their predictions on patterns of past behavior. The opposing postures of a split style profile eliminate commonalities needed for pattern generation. An observer would only see inconsistent behavior suddenly “pop up” without a clear reason. This creates a degree of behavioral uncertainty. It is inherent in the strategy.



HOW OFTEN DO SPLIT STYLES OCCUR?
Split style profiles are not common. Graphic 2 shows that number of split styles encountered in the population is about 12% (based on a sample of 42, 952).

Graphic 2
DISTRIBUTION OF SPLIT STYLE PROFILES



Complicating matters still further is the 12% of split styles are not homogeneous. They are about equally divided between HA/RS and RI/LP. This makes prediction even more difficult. People are unlikely to see the HA/RS and RI/LP as two different expressions of the same phenomena. An observer is likely only witness one or the other types of splits and thus see half of the 12% - or about 6% of the population - displaying contradictory behavior patterns.

People maintaining split style profiles will tend to be seen as outliers—people who lie out of the norm of everyday experience. This makes it likely that the contradictory behavior pattern will be treated as anomaly—just a peculiarity that can be ignored.



WHAT DETERMINES THE STYLE CHOICE?
People using a split style strategy usually develop some kind of “switch.” A switch is just a situational signal. We have seen switches based on the level of risk, the location (home or work), psychological state, organizational levels and time frames. Anything that makes sense to the individual can be used as a “switch.”

The switch does not have to be conscious. All of us would find it difficult to articulate why we chose to use this style or that to address the thousands of decisions we make every day. We choose a particular approach because it is “right.” What is “right” is determined by our profile. We do not have to think about our choices. Neither does the person using a split style.

While the choice of a particular style response may be unarticulated, the same may not be true of the profile as a whole. Once given the lens of “I Opt” we have found that many (but not all) people using split styles recognize their tendency to use radically different approaches. In other words, there is usually no “push back” resulting from the “I Opt” diagnosis.

On an individual level there is nothing to “fix.” Whatever the switch is, it works most of the time for the person using it. If it did not, it would be discarded or modified over time. A split style strategy may be inconsistent but it can be effective for the person using it.



DOES ONE STYLE TYPICALLY DOMINATE IN A SPLIT?
Graphic 3 shows that the thought based styles of HA and RI tend to be mildly favored in split style patterns.

Graphic 3
DOMINANT STYLES IN SPLIT STYLE PATTERNS
Theory offers no reason for the slight dominance of the thought-based strategies of HA and RI. However, the dominant style is the one that is used most often. It can be speculated that thought based strategies are more frequently called upon in a modern, complex society. However, this is just speculation. A definitive answer would require research that is beyond the scope of this blog.


HOW DOES IT AFFECT THE INDIVIDUAL?
A split style is not an issue for the individual holding it. People acquire style preferences as a response to the situations that they typically confront. If the situations require alternating between two diametrically opposed stances, the split style profile is optimal. In other words, split styles can be functional for the individual.

An example may help. One of the people with a split style profile that we encountered was an executive. He headed a function responsible for the distribution of large amounts of money. It turned out that he was using RI/LP split style profile. We wondered why.

We discovered that the choice was based on two roles he fulfilled. When managing the distribution of funds the disciplined, rigorous and detail-oriented Logical Processor (LP) style was being used. But when interacting with higher management levels, the idea generating Relational Innovator (RI) style was most advantageous. Since these two activities occupied a major portion of his time, they became embedded as his general approach.

“I Opt” styles are not confined to work. A split style went home with this executive when he left the office. It may not have been optimal in that context. But it does not have to be. It is enough that it be adequate for addressing the issues being confronted in that context. In overall terms, the gain in a work environment could be enough to offset any loss in other life situations.

A split style profile is used by a person because it works. It is a rational choice. It carries no penalty for the individual using it. It is a functionally effective method of addressing situations actually encountered in the conduct of life.



HOW DO SPLIT STYLES AFFECT GROUPS?
Split style difficulties emerge only at a group level. They are a sociological emergent. The source of the difficulty lies in the capricious unpredictability of behavior. Group members do not know about the unusual profile (the split style) being used or about the switch that controls it. The negative impact of this condition appears in the area of coordination.

A major factor in group efficiency and effectiveness is the ability of members to anticipate each other. If team members can predict each others behavior they can act on their expectation. They do not have to wait to be told what others will do. This predictive ability creates the widely recognized phenomena of a “smoothly functioning” team. A split style compromises this ability.

This happens because groups typically function as chains of activities. John does this and hands it off to Mary. Mary does that and passes it on to Peter. In this chain, the member’s anticipate the actions of those on whom they depend. Since they are prepared they can act more quickly and efficiently when the event they are expecting occurs.

But, if John were a split style, Mary’s predictions will be wrong more often than they would be if John used a typical “I Opt” profile. In other words, there is a greater chance of predictive error. When that happens, Mary may have to retrace some of steps she has already taken. Her efficiency is lost.

In some cases these bad predictions can compromise Mary’s ability to give Peter what he needs to complete the chain. When this occurs, the inefficiency is magnified. Peter’s prediction of Mary’s likely behavior could be compromised by John’s unpredictability.

The level of inefficiency varies with the degree of unpredictability. However, the fact that there will be a level of inefficiency is inherent. But a loss of efficiency does not mean that a split style automatically compromises effectiveness—the purpose of the group effort.

Internal efficiency losses can be offset by external advantages. For example, in our earlier example of the RI/LP executive the split style was functional. The executive’s LP was well adapted to handling the cash disbursement activity of the group he headed. His RI helped insure that senior management remained satisfied that the group was alert to new options. The executive’s split style approach supported group effectiveness.

Split style profiles are like any other. They are neither good nor bad. Their value depends on the balance of inefficiency generated versus the gain from the broadened range of issues addressed. This balance is situational. There is no general formula for gauging a particular split style’s net value.



HOW OFTEN DO SPLIT STYLES HAPPEN IN TEAMS?
Teams are just assemblages of people. The average team size is about 8 people. Split styles are about 12% of the population. On a pure chance basis the joint probability that an 8-person team will not have a member with a split style is 36% ((1 - .12)^8). The remaining 64% of teams would contain at least 1 split. Graphic 4 shows that this is exactly what happens in actual practice. In other words, the real world behaves just as mathematics says it should.
Graphic 4
DISTRIBUTION OF SPLIT STYLE IN TEAMS

A split style profile is displayed in behavior. It is not an hidden quality. Yet Graphic 4 shows that there is no bias—either positive or negative—in the selection of split styles as team members. They are included on teams exactly as pure chance would dictate. Yet we know that there is a coordination inefficiency built in. That means that there must be something that offsets this loss.

The logic of this position is that if split styles were dysfunctional teams would have learned to exclude them as members. In that case, we would have expected to find fewer of them than chance would dictate. That is
not what we find. It is reasonable to infer that split styles must bring at least as much positive value to team effectiveness as they cost in inefficiency.


WHY DON’T WE SEE MORE INEFFICIENCY?
Over half of the teams in the real world include at least 1 split style. So why don’t we see more frustration based on coordination difficulty? The answer is that not all split styles are equal. They come in degrees.

The strength of a split style has multiple determinants. The degree of difference between the two most used styles, the divergence with the closest peripheral style and the absolute level of style strengths are among the items affecting strength. However, for the purpose of this research blog the difference between the secondary style and the closest peripheral style can be taken as a reasonable index of strength.


Using this index, a mild split style can be defined as response set where a shift in 1 question on the “I Opt” Survey would resolve the split style into a more typical profile. There are 24 questions on the survey. Therefore 1 out of 24 would yield a 4.2% differential (1/24=.0417). In other words, over a long series of transactions we would expect a mild split style to be apparent to others only about 4% of the time. Clearly, this frequency is not enough to generate visible levels of inefficiency. What there is could easily be attributed to random chance.


Graphic 5 shows that almost half (46.6%) of split style population falls into this mild category. Coordination based inefficiency will be present. But the low frequency makes its effect almost invisible.


Graphic 5
DISTRIBUTION OF SPLIT STYLE STRENGTH
Medium level splits require 2 or 3 response changes on the “I Opt” Survey to resolve the split style divergence. Using the same logic as applied to mild levels, this would mean that a medium level split would be visible roughly 10% of the time (2.5 average divergence/24=10.4%). This is likely to be noticeable but not highly dysfunctional.

The high category ranges from a minimum of 4 response changes (4/24≈17%) to the maximum actually recorded in the database of 9 changes (9/24≈38%). At these levels the split style will be noticeable and likely to materially affect team operation. However, this high level of split style strength occurs in only about 24% of the split style population. This means it will only be seen in 2.9% of the population (12% total splits x 23.9% strong ≈2.9%).

Split style inefficiency is visible to anyone who wants to look for it. However, noticeable levels occur only infrequently in a typical person’s experience. When it does rise to dysfunctional levels the tendency is to attribute the cause to some personal psychological quality of the individual involved. Without the “I Opt” lens with which to definitively isolate the cause, a psychological deficiency is likely to be the colloquial fallback. Unfortunately, this fallback speculation will do nothing to resolve the situation.



DOES THE KIND OF SPLIT MATTER?
Both the HA/RS and the RI/LP split have the same effect. They compromise the ability of others to accurately anticipate future behavior. In addition, Graphic 6 shows that both are equally likely to occur at all strength levels. This means that there is no basis for differential effects based on the type of split style being used.

Graphic 6
DISTRIBUTION OF SPLIT STYLE STRENGTH BY TYPE OF SPLIT


DOES THE POSITION ON THE TEAM MATTER?
The most powerful negative effects occur with those who are immediately impacted by coordination missteps. The structure of the group determines how many people will be effected. The more people immediately impacted the greater the potential exposure.

Graphic 7a shows a clustering situation. A split style’s (shown in yellow circle) unexpected behavior can effect multiple people. This magnifies the potential consequences to the group. Graphic 7b illustrates an isolated condition. Here split style effects are minimized by the position at the end of a chain of activities. There are simply fewer channels through which negative effects can flow.


Graphic 7
ILLUSTRATION OF STRUCTURAL EFFECTS


Structural position is not the only factor determining the effect of a split style on a team. Frequency is another determinant. The exposure is obvious. The more frequently the person with a split style is referenced, the greater the probability of a coordination misstep.

Finally, bandwidth matters. Bandwidth is the number of different functional channels (i.e., different areas of activity) that the split style can influence. The greater the number of channels, the greater the number of different ways a coordination misstep can influence group effectiveness. Again this is an obvious exposure.


Structure, frequency and bandwidth are important for organizational advisers to recognize. They can be changed to mitigate split style effects. This gives the adviser the option of changing the situation rather than the person to mitigate split style effects. It is an option worth keeping in mind.



DOES A SPLIT STYLE AFFECT PROMOTION?
Graphic 8 shows that the proportion of split styles is roughly stable throughout the range of organizational ranks. Spit styles account for 12% of the population and also occupy about 12% of the positions at each level of the hierarchy. This suggests that a split style profile is no structural impediment to advancement. In any particular instance the cost imposed by coordination missteps can be outweighed by the gains offered by broadened scope. But in general, they do not.

Graphic 8
SPLIT STYLE DISTRIBUTION BY ORGANIZATIONAL RANK


The presence of split styles at all organizational ranks also offers further evidence of the existence of some kind of benefit flowing with split styles. If the inherent coordination penalty was not being offset by some kind of advantage, promotional potential would be compromised. It is not.

It might be noted that the Vice President level seems to have a bit higher split style representation. The difference is significant but without substantial consequence. Graphic 9 shows that a “mild” split styles make up a larger proportion of the Vice President category. In other words, while there are more VPs using split style patterns, they tend to be the weaker variety. In terms of operational impact, the split style effects at all levels are probably about equal.


Graphic 9
“MILD” SPLIT STYLE DISTRIBUTION



DOES SPLIT STYLE DISTRIBUTION DIFFER BY FUNCTION?
Functions impose constraints on the people who staff them. For example, accountants must follow FASB (Financial Accounting Standards Board) directives to have their work accepted. This kind of external control limits the value that can be contributed by the broadened split style range. Thus it is to be expected that different functions will vary in their hospitality to split styles. Table 1 shows that this is exactly the case at non-supervisory levels.

Table 1
SPLIT STYLE DISTRIBUTION BY FUNCTION


The functions appear to divide into three distinct groups. Functions with low levels of split style representation are clustered in activities that limit discretionary behavioral choices. These activities are constrained by some form of standard or supervisory control. This reduces the value of the split style’s broadened perspective while the coordination cost penalty remains. The net result is that these are not favorable split style environments.

The functions with high levels of split styles appear to share a large discretionary component. With the possible exception of engineers, participants in these functions tend to work outside of large groups. The value of broadened scope is increased while the coordination penalty is lowered. This means that the net value of the split style strategy is enhanced. The effect is that these become favorable environments for the split style profile.


This real world experience supports the position that people using the split style strategy generate both increased costs (i.e., coordination) and value (i.e., broadened scope). Functionally, they prosper in situations where discretionary action is highest (i.e., value) and coordination (i.e., cost) is the lowest. It makes theoretical as well as operational sense.



CAN SPLIT STYLE PERFORMANCE BE IMPROVED?
The value side of the split style equation is situational. It depends on the activity being pursued. It would probably be wise for people committed to a split style strategy to try to avoid functions that limit discretion and that are thickly entwined with coordination demands. While this is an option, in most organizational interventions this will not be a practical alternative. The functional and structural positions are usually fixed. But there is the other side of the equation, the cost.

The organizational cost of a split style centers on its coordination effect. Others cannot predict future behavior. The remedy is obvious. Become transparent. In other words, remove the need for others to predict. The person using a split style only needs to tell others of their intention. This will instantly improve organizational performance and increase the value of the person using the split style strategy. It is an easy win-win option.



SUMMARY
The split style profile is a rational choice for the individual employing it. On a theoretical basis it is the equal of any other profile. But on an organizational basis it is a two edged sword.

One edge of the sword is the increased cost. This arises because any split style has an inherent unpredictability component. This can make organizational missteps inevitable unless personal offsetting action (i.e., transparency) is adopted.


The other edge of the sword is increased value. This is situational. It does not occur everywhere and at all times. It occurs where the situation allows for and benefits from a broadened scope of action (e.g., see Table 1: Distribution by Function).


This research has shown that these cost and value components tend to offset each other in real world conditions. Split styles show up in about the same frequency as would be expected by chance.


The obvious prescription for addressing split style issues in Organizational Development is to maximize the value and minimize the cost. The value edge of the sword can be adjusted by seeking positions that benefit from the wide range that the spit style offers. The cost edge of the sword can be minimized or eliminated by adopting a transparent posture. This is not a difficult change. Plus there is a positive motive. It will improve person’s worth to the organization. This is likely to translate into increased rewards over both the short and long-term.