centralization vs decentralization of. information systems

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CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS: A CRITICAL SURVEY OF CURRENT LITERATURE by John Fralick Rockart and Joav Steve Leventer REPORT CISR-23 SLOAN WP 845-76 April 1976

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Page 1: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

CENTRALIZATION vs DECENTRALIZATIONOF. INFORMATION SYSTEMS:

A CRITICAL SURVEY OF CURRENT LITERATURE

by

John Fralick Rockartand

Joav Steve Leventer

REPORT CISR-23SLOAN WP 845-76

April 1976

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1.

The issue of centralization of information systems has been

widely and emotionally debated for almost two decades now. It is no

surprise, therefore, that the published literature on the subject is

quite extensive. Furthermore, the centralization-decentralization

problem is complex and important enough, so that a significant portion

of the entire EDP management literature has bearing on it.

The literature related to the centralization problem is not

only voluminous: much of what has been written is repetitious, and

sometimes, out(cated. As a result, there is no point in summarizing

extensively the entire literature on the subject.

The approach taken by the CISR Research group includes an

annotated bibliography which lists a major portion of the literature

on the subject (CISR Working Paper No. ). This paper, by contrast,

concentrates or a few key publications relating to one aspect of the

problem: the centralization/decentralization decision. It summarizes

the major points in each, and offers some critical remarks.

Three groups of articles are reviewed:

· General issue discussions: a comprehensive table of

advantages and disadvantages of various configurations is

presented, along with a discussion of a few important

contributions, viewed from a decision making perspective.

* Discussions of distributed systems: being a relatively

new and seemingly attractive alternative to both

centralization and decentralization, distributed systems

merit a closer look.

Organizational behavior issues: although least discussed

in the literature, organizational development issues

may well be among the most important considerations in

the configuration decision.

Page 3: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

2

Issue Discussions

Articles on the advantages and disadvantages of centralization

and/or decentralization abound in the literature. Since different

authors have di fferent assumptions and approach the problem somewhat

differently, ti e arguments are not strictly comparable. For this

reason, there is little point in reviewing the articles in depth

individually. Instead, a table summarizing most of the pro and con

arguments advanced in ,the literature is presented in Exhibit 2-1.

The remaining part of this section is devoted to illustrating

current thinking on the centralization-decentralization decision. To

this end, three articles are reviewed in depth: one, by Norton, is a

survey of the arguments and research on the subject. The other two,

by Withington and Glaser, are attempts to provide some guidelines for

decison making.

Norton - three categories of MIS activity

David P. Norton, in a Harvard Business School paper intended to

become a chapter in a forthcoming book , observes that "the term

"centralization" is meaningless when applied as a generality to information

systems. Instead, the concept of centralization must be approached in

terms of the specific functions which make up the operations and

managemert of an organization's information system" Accordingly,

Norton goups information systems related activities into three

categories:

* System operations, including physical hardware as well as

the operations and maintenance personnel directly associated

witi, the computer.

* Systems development, including the analysis, design and

programming of new computerized applications, as well as

the maintenance of existing applications.

III

Page 4: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

3.

* Systems management, encompassing the administrative aspects

of planning, developing, operating and controlling the

organization's information system.

Norton proceeds to list the major arguments for and against central-

ization in eacil of the above categories. Some of his major points

will be review.'d below:

On system oerations, Norton presents the law attributable to

Herbert Grosch, ("that the effectiveness of a computer system - in terms

of speed, throughput, etc. - was proportional to the square of

the costs")jand some empirical studies (by Solomon and Knight) which

prove it. Both studies, it should be noted, refer solely to the

IBM/360 family of computers and to CPU costs. Operating systems and

peripheral operations are not considered. Other arguments on operations

include the applications which need information crossing division

boundaries (for centralization), the complexity of operating systems,

risk of failure, high communication costs, and competition for priority

of service (all against centralization).

Norton subdivides systems development into its analysis, design and

programming phases. He reports that there exists a "fair consensus"

that the analysis phase should be performed locally (decentralized).

With regard to design and programming, personnel and technical

specialization considerations are advanced as arguments favoring

centralization. Empirical results summarized by Norton show that in

practice "it is the location of the hardware which determines the

location of bot i analysts and programmers.

No clear consensus can be found with regard to system management

functions, accoding to Norton. Most authors writing normatively

agree that sonme of these functions should be centralized, but there is

Page 5: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

i 4.

little agreement on the exact definition of these functions. It

seems that most authors would recommend centralization of the long

range EDP plan, of standards, equipment selection and the like.

Descriptive literature on systems management (Garrity, A.M.A., Dean)

is conflicting and not very instructive.

Norton's paper, then, is an excellent summary of the types of

arguments and studies currently available in the literature on the

centralization-decentralization problem. His categorization of

information processing functions , systems operation, system

development and systems management is particularly valuable. Norton's

most important insight in this respect is the identification of systems

management as a separate group of activities (inspired, in part, by

Glaser, whose paper is reviewed below). As Norton observes, "the

administrative planning and control tasks undoubtedly have more

influence on the effectiveness and efficiency of an information

system than any other variable".

On the other hand, Norton displays also the most important weakness

of the current literature on the subject: his list of "situational -

variables" notwithstanding, the article does not give much help to

the decision maker charged wit. choosing the "correct" configuration

for his organization. Such a decision maker would need to know which

situational variables are relevant and how they affect his decision,

and how he should compare different configurations. Such a decision

making approach is not offered in the current literature.

1Norton, David P.: "Information System Centralization: The Issues",Harvard Business School Paper 9-172-286, 1972, p.

III

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5.

Withington - some alternate configurations2 3

Frederic G. Withington's writings in E.D.P. management exemplify

another approach to the centralization problem. Briefly, Withington

identifies forces leading to EDP centralization and the problems with

centralization, but concentrates on presenting exampLes of combined

centralization-decentralization solutions to the problem, and attempts

to generalize from those examples.

According to Withington, there are basic universal forces leading

an organization to centralize its EDP effort. These forces are:

· cost of duplicate system development

· desirability of standard equipment

. desire for uniform management reporting

· shortage of expert personnel

* economy of scale in computers

The problems with EDP centralization include:

· wish to delegate authority and responsibility

. fear of poor service from central facility

· fear of expensive overstructure

Withington proceeds to discuss "common alternatives" to pure

centralization or decentralization:

. Operations centralized and system development left to

divisions - This is an alternative most often adopted

in large organizations producing highly technical

products, such as aerospace manufacturers, with large

amounts of scientific and engineering processing.

· System development centralized and operations dispersed

- This is an alternative usually found in large business

organizations with geographically dispersed divisions

performing identical functions, none of them of such

a nature that very large computers are required.

Page 7: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

6.

Central control of equipment acquisitions and central

development of applications common to an entire functional

area.- This compromise is generally found in large,

geographically dispersed companies "whose divisions and

subsidiaries have products representing a compromise

between diversity and commonality"..

* One larger centralized computer plus smaller satellite

computers and remote job entry terminals, and centralized

development augmented by small development groups for unique

local needs.- a compromise somewhat simpler than the one

above, more appropriate, according to Withington, in smaller

and less diversified companies.

Centralization of policies for equipment acquisition and

personnel training, some centralized standards, and common

systems for management reporting. Withington sees this

alternative as most appropriate to multi-national corporations,

where multilingual and multicultural factors exist, and

different equipment is superior in different countries.

Another factor, the parent organization's authority structure, is

identified by Withington as important in determining the chosen

information system configuration. Those organizations "accustomed to

central control move earliest and most strongly to centralized data

processing; those most devoted to decentralization move slowly,

carefully, and with maximum compromise". Note that this factor is

added to product diversity and geographical dispersion, identified

above.

Page 8: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

7,.

With-.ngton, then, goes byond the standard approach (that of listing

advantages and disadvantages) in two ways. First, he presents some actual

examples of successful configurations using some combination (or

compromise) of centralization and decentralization of specific

functions. Second, and even more important, Withington identifies

specific characteristics of the organization which determine the

chosen information system configuration. Note, however, that

Withingt.on's approach is basically descriptive. As such, it cannot

be inclusive or rigorous: what, exactly, ace the possible combinations

a company could use? What are all the characteristics affecting the

choice between them? The answers to these questions, critical for

good decision making, are not given by Withington.

Glaser - pragmatic common sense

George GLaser , a principal in McKinsey & Co., is exceptional in

that he dir cts his paper to the decision maker, and gives practical

rules for te decision making process, in addition to the standard

argument:; for centralization and decentralization.

Glaser gives three general rules for approaching the centralization-

decentralization decision:

* the organizational approach to data processing should be

consistent with the overall operational approach of the

company in which it functions.

· no change should be introduced unless the projected benefits

of transition are both large and concrete.

· no organizational structure or policy will work unless

accepted by the majority of people affected by it as logical,

satisfactory and workable.

And- ___ 11_

Page 9: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

8.

He thei, ider tifies seven primary criteria for deciding between

centralized, decentralized or combined policy:

minimum total cost

* user satisfaction

· effective utilization of personnel

e the ability to attract and retain personnel

· rational selection of development projects

· the opportunity to share common systems

· adaptability to changes in the technical and economic

environment

Additional factors influencing the decision are:

· volume of information to be consolidated

· response time required by operating managers

· availability of reliable and inexpensive data communications

the company's"state of D.P. art" (if introducing D.P. for

the first time - would prefer to centralize. As the group

expands and matures, it may be more desirable to decentral-

ize).

· decentralization or centralization of current operations

· heterogeneity of applications among divisions

the degree of uniformity of coding systems, managerial

practices, and operating policies within the corporation.

Glaser admits that "there are an infinite number of possible

organizational structures that might be offered to deal with the issues

discussed above". However, according to Glaser, most existing

structure:; are variations on four major alternatives:

Page 10: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

9.

centralized development and operations

independent development and centralized operations

independent development and operations under central

coordination

, independent development and operations

Although none of the alternatives above includes system development

by both central and divisional staffs, Glaser does offer guidelines

for when to allocate tasks to a centralized staff as opposed to allo-

cating them to the divisions. According to him, the centralized staff

should be responsible for the following:

* the work of the corporate office

· company wide functions

· divisional work that doesn't require rapid turnaround time

and can be done more economically centrally

* work for small divisions that cannot justify facilities or

staff of their own

· interdivisional and interplant applications that are part

of an integrated system where, for technical reasons, a

single computer must process all data within the system.

In contrast, decentralized staffs should be responsible for:

i applications that depend on rapid turnaround

all woik for which there is no compelling reason to

centralize.

There can be no question that George Glaser's article is a major

contribution to the information systems centralization-decentralization

literature. It is a practical and intelligent article, which, although,

brief, cvers most of the major facets of the problem. One major

i _I_____I___/I_�___·_I_·_I__

Page 11: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

10.

criticism can, however, be advanced against Glaser's effort: his approach

is somewhat informal, and as such, it is less than rigorous. Glaser

gives "general rules for approaching the decision", "criteria for

deciding", "additional factors influencing the decision", and "guide-

lines for allocating tasks to a centralized staff". What, exactly,

is the difference between the above groups? How does one apply them

to make an optimal decision?

Even for unstructured, strategic planning decisions, there can

(and should) be an orderly, rigorous approach for generating and

choosing alternatives. No author, including Glaser, offers such an

orderly method for the centralization-decentralization decision.

(We dwell on this point - for it is a primary goal of our existing

research project in this field.)

III

Page 12: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

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Literature on Distributed Systems

Distributed systems hold a special place among currently feasible

computer configurations, simply because they present a new and attractive

alternative to totally centralized or decentralized systems. Unfortu-

nately, the term "distributed processing" means different things to

different people. The term is mentioned, however, mostly in relation

to hardware configuration. For the purpose of this paper, a

"distributed system" is a system of interconnected computers (CPU's)

with their own mass storate, each at a different organizational

location. Such a system may offer some of the advantages of both

centralization and decentralization, and thus is an important alternative

for consideration.

Canning - distributed processing

Probably the most eloquent advocate of distributed processing is

Richard G. Canning, editor and publisher of the excellent E.D.P.

Analyzer 5 '6 Canning's 1973-4 vision of a distributed system included

"mini-hosts" - mini-computers with a relatively simple operating

system that operated in a mono-programming mode - interconnected via

an ARPA-type network, with each data base accessible from any other

mode, all under a "system wide discipline". (Recent developments,

including the IBM 3790 make parts of this vision, e.g. mono-programming,

too simplistic.)

Canning points out the fact that the economies of scale for

centralization is weaker than is apparent: multiprogramming and virtual

storage waste CPU cycles and complicate programming and operations;

centralization calls for large application and centralized data base

systems, again hampering efficiency; and large computers lag in

implementing new advances in technology, both in hardware and in

operating systems.

Canning sees important advantages to distributed systems: first,

they support - even enforce - modularity in system design and operations,

and are thus more able to deal with the growing complexity and dispersion

Page 18: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

17.

of users. In addition, Canning foresees the continuation of the

trend to remotte input and interaction. Distributed systems hold down

data communica:ions costs, improve reliability, and give operating

people a sense of ownership and participation, and thus will better

support the above trends.

Current technological trends will diminish current economies of

scale in mainframes and possibly also mass storage devices. At the

same time, no breakthrough in conmmunications cost is expected, making

their relative costs much higher in total D.P. costs.

While mini-computers (and hence distributed systems) are currently

limited in their software and programming support, a distributed

system does offer many of the advantages of both centralization (e.g.

consolidation of operating results, etc.) and decentralization ( e.g.

user control).

In conclusion, Canning admits that the future of distributed systems

depends somewhat on IBM's policies, as well as other manufacturers,

but proposes considering distributed systems in a company'slong range

plans.

The arguments for distributed processing are, clearly, very logical.

There can be little doubt that distributed systems, in one form or

another,-will continue to be implemented in the future in certain

situations. As some new computer architectures which employ several

peripheral processors (e.g. IBM's 370/125 and CDC's Cyber 70 series)

make clear, the argument of economies of scale in computer production

breaks down at a certain size. There is no reason why, for example, a

group of mini-computers in one room would be always superior to a

group of geographically distributed interconnected mini-computers.

Page 19: CENTRALIZATION vs DECENTRALIZATION OF. INFORMATION SYSTEMS

18.

This, however, does not mean that distributed systems will be

superior in all situations. Canning's implicit assumption that one

configuration will "win out" is disputed by both logic and experience.

And this, it serems, is the article's major weakness: similar to the

"advantages - disadvantages approach" described above, Canning's article

argues for one configuration rather than providing guidelines for choosing

one of several feasible configurations.

Rosenthal - distributed data base

While Ca ning. concentrates (though not exclusively) on the

advantages f distributing processing, D.B. Rosenthal discusses

distributing data bases . Rosenthal advocates taking "portions or

subsets of the corporate data base, and putting them out in the remote

locations, whert. the data is created, is used, and where decisions are

made based upon it, and at the same time iE.olating exception and summary

data, which the headquarters location needs for its data base, and send

this up at appr.,priate time intervals".

"The results of such ... a distributed data base system can be:

1. Better control and direct use of data by those who are

most concerned with it.

2. Substantially lower communication costs

3. Lower overall installation costs

4. Faster implementation of a company wide information system".

Rosenthal advocates, basically, what Canning calls a "hierarchical-

distributed system" - a three or Are level hierarchy of processors,

roughly parallel to organizational levels. Such a system is also

envisioned by Richard Sprague, one of the pioneers of the computer field.

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19.

According to Rosenthal, the total costs of such a system may

well be lower than that of a centralized system: while hardware may

be somewhat more expensive, both software development ad coninunications

are expected to decrease in costs.

Most importantly, as Rosenthal stresses, such a system is not a

thing of te future. Built around the relatively recent availability

of small, full-capability, fully supported communication-oriented

computers, with superior price-performance levels, such a system is

clearly feasible today. "It is is simply a network of small systems,

each doing the wide variety of jobs that each remote location must

accomplish, in what is basically an autonomous environment, but with

the added capability of relating to the next level in the overall system,

through the exchange of that information each needs to successfully

fulfill its job in the corporate structure."

Like Canning, Rosenthal does not discuss those conditions under which

a "distributed data base system" should be preferred (except for

specifying a multi-locational company). Furthermore, he does not

specify the characteristics of the applications which should be

distributed.

To conclude this section on distributed processing, it is important

to mention the fact that several mini-computer manufacturers, Datapoint,

Digital Equipment, and Hewlet-Packard in particular, have started

advocating (and supporting) the concepts of distributed processing

outlined above. This enhances the feasibility of implementing such

a configuration, and makes the understanding of the choice process even

more critical.

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20.

Organizational behavior issues related to the problem

Of all the issues involved in the centralization-decentralization

question, the ones concerned with organizational behavior are the least

.well understood. Thle literature described above, and indeed most of

the literature on the problem, rarely mentions these problems, let

alone solve them.

What is involved is an understanding of the impacts of different

configurations of computerized information systems on the organization,

and, no less important, the impact of changing from one configuration

to another.

Demb - An approach to understanding organizational issues - and some data

A very important step towards understanding these organizational

impact is the one by Ada B. Demb, presented in her Ph.D. dissertation

and a subsequent CISR Report . Demb's major contribution lies in her

application of organizational development frameworks to the centralization

problem. In addition, Demb presents a field study of a centralization

effort in a ten-campus public college system. The major theoretical

points and concrete findings presented in her report are summarized

below.

Demb distinguishes in her framework between two important aspects of

an EDP development effort:

the process of planned change (and its impacts)

. the internal organization dynamics

In assessing the impacts of planned change, Demb uses a model for

consultation developed by Kolb and Frolunan . Based on this model,

Demb identifies four particularly critical aspects of the problem:

the collaborative nature of the change effort

. the need to establish priorities

III

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21.

· the need for feedback

· the need for an evaluative mechanism

In understanding organizational dynamics impacts, Demb identifies

five issues:

actor characteristics

· interaction characteristics

interdependence - often a root of conflict over change in

organizations

, the widely-differing expectations of the actors involved

· the need to assign clear responsibilities among actors

Demb used her theoretical framework as a way of analyzing

the public college system centralization effort. On the change process,

Demb concludes that:

"At the study site, dissatisfaction with the information systemcentralization process revolved primarily around difficultieswhich arose as a result of the management of change process it-self, rathei than the specific characteristics of the centralizedsystem. Using the model of change ..., the bases for some of thedifficulties can be identified and traced in specific stages."

Even more iportant for our purposes, Demb presents several major

findings relating to impact on internal organization dynamics:

. Those "actors" who would be most affected when

application systemswere standardized (as often occurs

with centralization) perceived a major threat to their

authority, and reacted accordingly.

The process of developing shared applications, where central

staff depended on users to define their needs, tended to

create a great deal of tension for those involved.

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22.

, Those users who were most dependent on the computer staff and

were concerned about system failure, reacted extremely

negatively to the centralization effort.

· Political factors - the reactions of influential individuals,

general organization climate and local norms and pclitics,

play a critical role in the centralization process.

As mentioned above,'Demb's effort. is particularly important because

the subject of organizational impacts of centralization has been so

little explored. Demb's framework would be very useful in attempting

to assess further organizational impacts, when studying other central-

ization or decentralization processes. The only criticism that can be

raised in connection with her work, -. - . is that

the one case study she presents is not a sufficiently large smple to

enable drawing generalized conclusions. In particular, it is impossible

to single out contingencies relating to the whole organization. Some

of her conclusions (especially the ones concerning the process of

change) should be regarded as tentative, until we have been able to

compare studies of several, different organizations.

Demb's framework attempts to predict some (specific) effects of a

centralization effort, assuming that a decision to centralize has

been made- Yet, her results are obviously very relevant for the

centralization decision: for example, if there is an unavoidable,

significant, negative impact of centralization, it should be taken

into account in the decision to centralize. No less important, the

costs and effects of change are an integral part of the centralization-

decentralization choice.

III

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23.

Summary

This paper presents an overview of the current literature on

the centralization-decentralization issue. Three groups of articles

are surveyed:

general issue discussions, where most of the literature

available presents advantages and disadvantages of

centralization-d centralization

· literature on distributed systems - the newest -type

of configuration. This literature, again, is mostly

stated in terms of advantages and disadvantages

· an article covering the organizational behavior aspects

-of centralization

As was observed in this paper, the current literature does not

offer an orderly model for making the configuration decision, and is,

thus, only partially helpful to management for decision making.

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24.

REFERENCES

1. Norton, David P. "Information System Centralization: The Issues"Harvard Business School paper, 9-172-286, 1972.

2. Withington, Frederic G. "Multicenter Networks", Chapter 7 in TheOrganization of the Data Processing Function, Wiley, 1972.

3. Withington, Frederic G. "Crystal Balling: Trends in EDP Management",Infosystems, Vol. 20, January 1973.

4. Glaser, Gorge. "The Centralization vs. Decentralization Issue:Arguments, Alternatives and Guidelines", Data Base (2,3).Fall/Winter 1970.

5. Canning, Richard G. "In Your Future: Distributed Systems?", EDPAnalyzer, Vol. 11, No. 8, August 1973.

6. Canning, Rchard G. "Structures for Future Systems" EDPAnalyzer, Vol. 12, No. 8, August 1974.

7. Rosenthal, D.B. "The Distributed Data Base Concept" GUIDE, 35,1972, pp. 76-288.

8. Baggeroer, William L., and Fox, John M. "Centralized, Decentralized,or Distributed: A Preliminary Model for Computer System Configuration",unpublished master's thesis, Massachusetts Institute of Technology,1975.

9. Demb, Ada Barbara. "Centralized Versus Decentralized Computer Systems:A New Approach to Organizational Impacts", CISR Report 12,Sloan School of Management, 1975.

10. Kolb, avid A., and Frohman, Alan L. "Organization DevelopmentThrough Planned Change: A Development Model", Sloan School ofManagement working paper.

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