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This study aims to examine whether accounting knowledge is associated with a decision maker's tendency to ignore value added information in wealth measurement and distribution decisions.

A between‐subjects laboratory experiment was employed. Subjects prepared accounting reports that measured and distributed an entity's wealth based upon given accounting data. Accounting knowledge was measured as: a discrete variable by classifying subjects into high‐, low‐ and no‐accounting knowledge groups, and a continuous variable by classifying subjects on the number of accounting courses completed.

Findings provide empirical evidence that high levels of accounting knowledge interferes with a decision maker's ability to incorporate value added information (versus accounting profit) in wealth measurement and distribution decisions.

This experiment used subjects from the USA where the production and disclosure of a value added report is not mandated. The results should be tested in a country where the statement of value added is routinely produced, disclosed and audited.

This study shows the dysfunctional effect of accounting knowledge which appears to hinder performance in wealth measurement and distribution decisions.

This is the first attempt to explain why decision makers may ignore value added information in wealth measurement tasks and distribution decisions by focusing on the role of knowledge structures.

States that in the new developing economy of the millennium knowledge is an asset that should be valued, developed and managed, since it is a component of the intellectual capital of an organization. Reveals that knowledge is increasingly being regarded as a corporate asset in an age when data and information help sustain competitive advantage. Remarks that knowledge is, however, an intangible asset and so managing it creates a number of challenges in the area of human resource development, especially when workers are more concerned with their employability. Concludes that if a company values knowledge it must value its knowledge workers.

This article aims at contributing to the development of a Marxist theory of the production of knowledge, and in particular of natural sciences and techniques (NST), under capitalism. It rejects the double critique that the labor theory of value has become obsolete under modern capitalism and that Marx’s theoretical structure cannot accommodate mental production. The paper starts with two preliminary sections. First, some relevant aspects of dialectics as a tool of social research are submitted. Then, notions such as Information Society or Service Society are debunked. On this basis, the production of individual and of social knowledge is inquired into and the conditions for knowledge production to be production of (surplus) value are analyzed. Next, the question is tackled as to why and how this knowledge (and in particular NST) is functional for the interests of the capitalist class, even though in a contradictory way. Several examples are provided. Particular attention is paid to the computer and to biotechnology and genetic engineering. The most common objections against the thesis of the class determination of knowledge are dealt with. It is argued that class determination of knowledge can explain why the science and techniques developed in one society and by one class can be used in other societies and by other classes. Examples are provided of trans-class and trans-epochal elements of knowledge. Finally, the last section submits that a radically different type of NST can originate only from a radically different type of society, based on radically different production relations.

“Academic values” is one of the most popular terms used in the higher education literature. But how do we study academic values? Besides autonomy, freedom, and collegiality, the “values” in “academic values” often remains implicit, leaving a conceptual gap in the literature. Moreover, autonomy, freedom, and collegiality may reflect the shared normative expectations as part of the value system of a profession, rather than the value orientation at the individual level. To examine the latter, this chapter proposes a conceptual framework adapted from the studies of work values in applied psychology. As a heuristic device, the academic work value framework consists of six ideal-typical value orientations belonging to three dimensions: work autonomy, social orientation, and value of knowledge. The framework's relevance and usefulness are evaluated by revisiting relevant literature on academic orientations. The result shows a spectrum of value positions in academic work, from the “old school” values to the “entrepreneurial” ones to the hybrid orientations. Overall, this framework provides a potential approach to operationalize the concept of academic values for empirical research. At the same time, as a heuristic device, it is open for reflection, critique, and further development.

Intellectual capital (IC) and social capital (SC), as forms of intangible value in organizations, are crucial assets in today's volatile business environment. Efforts to retain and develop these intangibles are becoming more deliberate and disciplined. However, organizations fail to recognize the relationship between organizational distress and the loss and/or reduction of intangible value. The loss of intangible value may potentially impact an organization with equal or greater damage than the loss of more tangible value. IC and SC generate many outcomes beneficial to the individual and the organization. These benefits are reduced when stress of employees becomes excessive and damaging. The relationship between the health of an organization and the degree of impact of distress serves as a lingering threat to organizational financial resources. Managers must build upon the growing knowledge from research and practice to help organizations account for the costs of organizational distress, translate the importance of intangible value into tangible terms, and garner support for developing IC and SC to obtain business objectives. Deliberate and disciplined effort to build collaborative capital can facilitate the growth of IC and SC which minimize the damage of organizational distress.

This chapter attempts to theorize the role of knowledge in the determination of the value of commodities. This draws from the South Korean controversy on the value and price of information commodities such as computer software and digital music. One group of writers has argued that the value of software copies (=commodities) is contributed by the labor time expended to produce the source code (=knowledge) in a piecemeal fashion. For another group, the source code has nothing to do with the production of the value of copies given that the source code is unnecessary for the (re)production of copies, and thus the value of software copies is approximately zero and its price is a high monopoly price. Both approaches are flawed. In the case of the former, no value can actually be transferred from the source code to copies because no changes are made to the source code before or after the production of copies. In case of the latter, knowledge is viewed as having nothing to do with value production. On the basis of this critique, an alternative view is put forward, in which knowledge plays an important role in value production by determining the productivity and/or complexity of labor. Knowledge “virtually intensifies” labor. It is also argued that intellectual property rights should be theorized in a way to refine and reproduce the role of knowledge – the virtual intensification of labor – at more complex and concrete levels of analysis.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.

Knowledge value added is a new cost accounting technique making waves in intangibles accounting. It helps managers conduct a business process audit. However, the managers need a behavioral tool to understand the factors that influence human capital knowledge value add, in order to increase the organizational value add. This tool helps understand the knowledge professional’s perceptions of the organization’s culture towards intellectual enterprise, knowledge management support systems and processes, as well as individual value add, the perceived performance, innovation and consequences of quitting. The tool thus helps formulation of strategies towards effective management of human capital and creating higher value add. A leading Indian infotech organization was studied as a case in point and the results are being used to design more effective knowledge management strategies.

This paper explores ways in which knowledge management (KM) can enrich and be enriched by practices associated with social‐level knowledge‐based development (KBD), thus bridging both fields. It begins by establishing a continuity between personal‐, organizational‐ and social‐level KM. Social‐level KBD is referred to economic growth theory in search of a complete, consistent, systematic and inclusive framework for global development. Enter capital systems, a KM framework aiming to satisfy those criteria at the organizational level. The capital systems approach, originally developed as a solution to some methodological concerns in intellectual capital valuation, is described as the operationalization of a generic value structure. Such a structure is applied to the analysis of production or value‐enhancing dynamics underlying major economic eras throughout human history until the present day. Structural constraints in current financing for development practices are identified. New knowledge‐based development strategies are explored and, finally, examples of current KBD policies are examined in the light of this analysis and alternative strategies to systematically identify and develop individual, organizational and capital systems are suggested.