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6

TOWARDS AMETA THEORY OFACCOUNTING FOR KNOWLEDGE MANAGEMENT: REVIEW THE

REALITIES TO STAGE THE CRITICAL THINKING OF KNOWLEDGE BUSINESS MODEL

SBE, Vol.20, No.1, 2017

ISSN 1818-1228

©Copyright 2017/College of Business and Economics,

Qatar University

engine of generating business revenues has

been shifted from tangibles to intangibles

assets. Accordingly, accounting has long been

recognized as problematical for knowledge

management and its model is no longer

sufficient. The accounting model has been

invented over hundreds of years to measure

and report investment in tangible assets (Lev,

2001). The dilemma of accounting against

knowledge management is about theory to

practice. New knowledge practices are being

innovated every day, but new accounting

rules are not yet established and frame

worked (Mohammad, 2013b). Unfortunately,

accounting theorists and researchers have been

very slow to recognize this fact. Accounting by

its status qua is a fairly industrial intellectual

discipline and has yet to demonstrate the

maturity of knowledge management. The

accounting literatures reviewed with reference

to knowledge management clearly shown that

accountant’s community debate has focused on

three issues: lacks and critics associated with

the accounting model; nature of accounting

practices required to deal with knowledge

initiatives; and the rigid reporting format of

the financial statements. Accounting reporting

power against knowledge management is full

of controversy associated with necessities of

knowledge initiatives. The arguments have

centered on the reliability of accounting

information, gap of market value with book

value, knowledge income, future cash flows,

and logic of accounting equation (Lev and

Zarowin, 1999). These arguments are further

supported by the call to reform accounting rules

because of intangible assets. As such assets

are now the revenue engine of knowledge

management. The absence of those assets from

the financial statements leaves investors with

irrelevant information to make critical business

decisions. Lev, 2016 further claims that lack of

intangibles has probably led to the systematic

undervaluation of business assets. As a result,

insufficient investment in the core business

assets has been made. The lack of accounting

information for completeness and timeliness

on Knowledge assets contributes to what can

be titled “accounting asymmetry”. The basic

and most accepted truth is that the structural

components of accounting with its recording

philosophy and reporting mechanism have

been established to match the requirements

of the industrial management. The reality is

that such model has been invented to calculate

the cost of materials and wages. Thus, one

of key critics against accounting model is a

cost based and its calculations cope with the

industrial management not the knowledge

one. This reason in particular explains why

the current format of financial statements

does not disclose relevant and reliable

information about knowledge initiatives.

The nature of accounting theory especially

logic in terms of assumptions, principles,

and rules are primarily responsible for the

ultimate absent of knowledge information.

The problem of accounting against knowledge

management is the huge uncertainty which

produce volatility associated with risks and

due to such fact; investments in intangibles are

treated as expenses. In contrast, innovations in

knowledge management are created primarily

by investment in intangibles, when such

investments are commercially successed;

they are transformed into tangible assets

creating more corporate value and growth

(Lev, 2001). All these lacks incorporated in

the practical body of accounting model cited

accounting as inadequate for knowledge

management. Further, globalization, fast-

changing technologies, intensive investments

in human resources, high accelerated research

and development have doubled the crises

of accounting with knowledge management

and increased unreliability of accounting

information (Goldfinger, 1997). This paper

therefore goes beyond the extant literature