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Pan-Pacific Conference XXXIV. Designing New Business Models in Developing Economies

This publication represents the Proceedings of the 34th Annual Pan-Pacific Conference being held in Lima, Peru May 29-31, 2017. The Pan-Pacific Conference has served as an important forum for the exchange of ideas and information for promoting understanding and cooperation among the peoples of the world since 1984. Last year, we had a memorable conference in Miri, Malaysia, in cooperation with Curtin University Sarawak, under the theme of “Building a Smart Society through Innovation and Co-creation.” Professor Pauline Ho served as Chair of the Local Organizing Committee, with strong leadership support of Pro Vice-Chancellor Professor Jim Mienczakowski and Dean Jonathan Winterton.

This publication represents the Proceedings of the 34th Annual Pan-Pacific Conference being held in Lima, Peru May 29-31, 2017. The Pan-Pacific Conference has served as an important forum for the exchange of ideas and information for promoting understanding and cooperation among the peoples of the world since 1984. Last year, we had a memorable conference in Miri, Malaysia, in cooperation with Curtin University Sarawak, under the theme of “Building a Smart Society through Innovation and Co-creation.” Professor Pauline Ho served as Chair of the Local Organizing Committee, with strong leadership support of Pro Vice-Chancellor Professor Jim Mienczakowski and Dean Jonathan Winterton.

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Model for the management of <strong>in</strong>tangible assets <strong>in</strong> companies <strong>in</strong> emerg<strong>in</strong>g<br />

markets<br />

Luis Batista Ugarelli Betalleluz<br />

CENTRUM Pontificia Universidad Católica del Perú<br />

a20154639@pucp.pe<br />

ABSTRACT<br />

This research is <strong>in</strong>tended for solv<strong>in</strong>g the problem of<br />

<strong>in</strong>adequate or <strong>in</strong>accurate models, understood as<br />

bus<strong>in</strong>ess models, when applied <strong>in</strong> a challeng<strong>in</strong>g and<br />

atypical reality as the emerg<strong>in</strong>g markets. When it<br />

comes to expla<strong>in</strong> the dynamics of value creation for<br />

those markets, rely<strong>in</strong>g on <strong>in</strong>tangible assets as a<br />

critical resource of the knowledge economy, features<br />

as <strong>in</strong>formality, poor <strong>in</strong>stitutions or corruption, cannot<br />

be overlooked. An <strong>in</strong>strument that represents a<br />

model for value creation <strong>in</strong>volv<strong>in</strong>g <strong>in</strong>tangible assets<br />

that has been used <strong>in</strong>tensively <strong>in</strong> the last years is the<br />

Value Added Intellectual Coefficient (VAIC TM ).<br />

Despite all the advantages that applications of this<br />

<strong>in</strong>strument br<strong>in</strong>g, results have also attracted some<br />

criticism; com<strong>in</strong>g basically from some alleged<br />

theoretical contradictions and the diversity of results<br />

obta<strong>in</strong>ed by different authors. We consider that such<br />

mixed results are due <strong>in</strong> part to the fact that those<br />

applications are not pay<strong>in</strong>g detailed attention to the<br />

particular features <strong>in</strong> the markets where they have<br />

been tested. Therefore, the goal of this research is to<br />

fill this knowledge gap, by means of a quantitative,<br />

longitud<strong>in</strong>al approach, analyz<strong>in</strong>g public companies<br />

<strong>in</strong> the consumer sector, <strong>in</strong> the countries of the <strong>Pacific</strong><br />

Alliance (Chile, Colombia, Mexico and Peru) us<strong>in</strong>g<br />

their f<strong>in</strong>ancial data for ten years, test<strong>in</strong>g different<br />

database cuts, <strong>in</strong>corporat<strong>in</strong>g more emerg<strong>in</strong>g market<br />

features and mak<strong>in</strong>g the necessary adjustments to<br />

improve the robustness and consistency of the<br />

results. The need for a particular model that proves<br />

to be better suited to the reality of the emerg<strong>in</strong>g<br />

markets, will help greatly <strong>in</strong> terms of a better<br />

understand<strong>in</strong>g of the problems orig<strong>in</strong>ated from the<br />

misrepresentation of <strong>in</strong>tangible assets and for its<br />

adequate management by bus<strong>in</strong>ess and policy<br />

makers.<br />

INTRODUCTION/BRACKGROUND<br />

Intangible assets are ga<strong>in</strong><strong>in</strong>g more importance and<br />

recognition s<strong>in</strong>ce their <strong>in</strong>ception by the late 90s<br />

(Lev, 2001). However, lack of standard def<strong>in</strong>itions<br />

and approaches make cumbersome to develop<br />

strategies across the board, more over if those are<br />

<strong>in</strong>tended for companies located <strong>in</strong> markets that are<br />

<strong>in</strong> a different stage of development as the emerg<strong>in</strong>g<br />

countries (McGarvey, 2007). As emerg<strong>in</strong>g markets<br />

are progressively transition<strong>in</strong>g to be fully fledged<br />

knowledge economies, the same urgency on the<br />

manag<strong>in</strong>g of <strong>in</strong>tangible assets as their developed<br />

counterparts apply. This has the caveat that it is not<br />

possible to deploy the same tools, unless the latter<br />

are adapted to factor <strong>in</strong> elements as <strong>in</strong>formality and<br />

others typical of emerg<strong>in</strong>g markets. We consider<br />

that a model<br />

<strong>in</strong>tended for the emerg<strong>in</strong>g markets and embedded<br />

with their features can be built, start<strong>in</strong>g with the<br />

demonstration that sizeable assets are hidden <strong>in</strong> the<br />

company's balances and from there, the evidence to<br />

entrepreneurs and governments, shall be compell<strong>in</strong>g<br />

enough to take more decisive actions <strong>in</strong> that regard,<br />

before the value creation becomes value destruction.<br />

LITERATURE REVIEW<br />

Literature about models for the management of<br />

<strong>in</strong>tangible assets, has shifted its focus from the<br />

detection to the taxonomy and f<strong>in</strong>ally to<br />

measurement, which ultimately impacts<br />

management. This trend comes up with a set of<br />

postulates for the general management of these<br />

types of assets through a model. <strong>Models</strong> for<br />

<strong>in</strong>tangible assets of all sorts, as an imperfect<br />

representation of the reality have their own<br />

shortcom<strong>in</strong>gs. They all have <strong>in</strong> common also that<br />

the realities that have been primarily tested are those<br />

where the knowledge economy is well embedded.<br />

The <strong>in</strong>tellectual capital concept can be assessed at<br />

diverse levels as micro (companies, <strong>in</strong>stitutions etc.)<br />

or macro (countries, regions). In all those<br />

categories it is evident that the progress reached by<br />

the developed economies accommodates for model<br />

designs tailored to those economies, but not<br />

necessarily applicable to the realities <strong>in</strong> emerg<strong>in</strong>g<br />

markets.<br />

Particular literature about models for the<br />

management of <strong>in</strong>tangible assets <strong>in</strong> emerg<strong>in</strong>g<br />

markets, showed that the research efforts on that<br />

subject were more oriented to the detection of<br />

<strong>in</strong>tangible assets at a macro level. For this purpose,<br />

assumptions were made that are applicable to<br />

economies <strong>in</strong> more advanced development phases,<br />

such as bigger, more evolved and sophisticated<br />

f<strong>in</strong>ancial markets, low or practically nil <strong>in</strong>formality<br />

and very aggressive R&D promotion schemes and<br />

IP protection which grants and nurtures the birth<br />

and development of <strong>in</strong>tangible assets. However,<br />

although the same is not entirely true for emerg<strong>in</strong>g<br />

markets this does not mean <strong>in</strong>tangible assets do not<br />

exist there. On the contrary, the researcher needs to<br />

be very aware of the pitfalls to assess those us<strong>in</strong>g<br />

tools that do not correspond to the latter’s reality.<br />

Among the models that are be<strong>in</strong>g used <strong>in</strong> the last<br />

years, Value Added Intellectual Coefficient<br />

(VAIC TM ) has ga<strong>in</strong>ed a grow<strong>in</strong>g popularity <strong>in</strong> the<br />

academia. We believe that this <strong>in</strong>terest <strong>in</strong> VAIC TM<br />

comes from the current state of the art, and that this<br />

<strong>in</strong>strument can be perfected until f<strong>in</strong>ancial<br />

<strong>in</strong>formation and report<strong>in</strong>g is up to the task and<br />

produces better data to assess f<strong>in</strong>ancially <strong>in</strong>tangible<br />

assets as critics on that regard said (Lev & Gu,<br />

2016). Criticism around VAIC TM (Andriessen,<br />

2004; Ståhle et al., 2011; Starovic & Marr, 2003),<br />

have been clarified by Iazzol<strong>in</strong>o (2013). However,<br />

mixed results, especially <strong>in</strong> emerg<strong>in</strong>g markets, are<br />

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