The Importance of Relationships for the Produced Knowledge in the Sector of Management Consulting

While the management consulting industry has been largely linked to the knowledge produced within the disciplines of strategic management in the academic field, the truth is that very little literature is produced in terms of research in this area, while the researchers focused more on a set of static techniques to be applied in the development of this field of research concerns. This article seeks to bridge this gap as well, showing by example that the consultancy sector is a true field of opportunities for the study of relationships management. This presentation is thus the aim of contributing both theoretically and empirically in the area of relationships through research in the context of management consulting, trying to visualize how the relationships are manifested in a context of high involvement and personal contact, and what’s the perception that must be taken into consideration by clients and consultants in terms of the benefits of their greater or lesser degree of involvement.

The Importance of Relationships for the Produced Knowledge in the Sector of Management Consulting

While the management consulting industry has been largely linked to the knowledge produced within the disciplines of strategic management in the academic field, the truth is that very little literature is produced in terms of research in this area, while the researchers focused more on a set of static techniques to be applied in the development of this field of research concerns. This article seeks to bridge this gap as well, showing by example that the consultancy sector is a true field of opportunities for the study of relationships management. This presentation is thus the aim of contributing both theoretically and empirically in the area of relationships through research in the context of management consulting, trying to visualize how the relationships are manifested in a context of high involvement and personal contact, and what’s the perception that must be taken into consideration by clients and consultants in terms of the benefits of their greater or lesser degree of involvement.

The “Fashionable Knowledge” of Management Consulting

In the evolution of strategic disciplines much of the knowledge produced has been widely diffused by the management consulting industry. But can this sector be regarded as knowledge intensive activity based on true structure of expertise knowledge? One way to understand if we can consider that sector as a source of knowledge dissemination is realizing its relationship with the market in terms of knowledge, rather than identify only as a set of static techniques to be applied as in most of times they have been doing. This article presents itself as a reflection about the real reasons for the increasing use ofmanagement consulting services, indicating simultaneously that can really be a true field of opportunities for the academic class if the study will focused in the establishment and institutionalization of micropractices (strategy-as-practice) that there are used and its implications in terms of organizational results.

Sensitivity analysis of a catchment-scale nitrogen model

There are now considerable expectations that semi-distributed models are useful tools for supporting catchment water quality management. However, insufficient attention has been given to evaluating the uncertainties inherent to this type of model, especially those associated with the spatial disaggregation of the catchment. The Integrated Nitrogen in Catchments model (INCA) is subjected to an extensive regionalised sensitivity analysis in application to the River Kennet, part of the groundwater-dominated upper Thames catchment, UK The main results are: (1) model output was generally insensitive to land-phase parameters, very sensitive to groundwater parameters, including initial conditions, and significantly sensitive to in-river parameters; (2) INCA was able to produce good fits simultaneously to the available flow, nitrate and ammonium in-river data sets; (3) representing parameters as heterogeneous over the catchment (206 calibrated parameters) rather than homogeneous (24 calibrated parameters) produced a significant improvement in fit to nitrate but no significant improvement to flow and caused a deterioration in ammonium performance; (4) the analysis indicated that calibrating the flow-related parameters first, then calibrating the remaining parameters (as opposed to calibrating all parameters together) was not a sensible strategy in this case; (5) even the parameters to which the model output was most sensitive suffered from high uncertainty due to spatial inconsistencies in the estimated optimum values, parameter equifinality and the sampling error associated with the calibration method; (6) soil and groundwater nutrient and flow data are needed to reduce. uncertainty in initial conditions, residence times and nitrogen transformation parameters, and long-term historic data are needed so that key responses to changes in land-use management can be assimilated. The results indicate the general, difficulty of reconciling the questions which catchment nutrient models are expected to answer with typically limited data sets and limited knowledge about suitable model structures. The results demonstrate the importance of analysing semi-distributed model uncertainties prior to model application, and illustrate the value and limitations of using Monte Carlo-based methods for doing so. (c) 2005 Elsevier B.V. All rights reserved.

An analytic knowledge network process for construction entrepreneurship education

Purpose - The purpose of this paper is to provide a quantitative multicriteria decision-making approach to knowledge management in construction entrepreneurship education by means of an analytic knowledge network process (KANP) Design/methodology/approach- The KANP approach in the study integrates a standard industrial classification with the analytic network process (ANP). For the construction entrepreneurship education, a decision-making model named KANP.CEEM is built to apply the KANP method in the evaluation of teaching cases to facilitate the case method, which is widely adopted in entrepreneurship education at business schools. Findings- The study finds that there are eight clusters and 178 nodes in the KANP.CEEM model, and experimental research on the evaluation of teaching cases discloses that the KANP method is effective in conducting knowledge management to the entrepreneurship education. Research limitations/implications- As an experimental research, this paper ignores the concordance between a selected standard classification and others, which perhaps limits the usefulness of KANP.CEEM model elsewhere. Practical implications- As the KANP.CEEM model is built based on the standard classification codes and the embedded ANP, it is thus expected that the model has a wide potential in evaluating knowledge-based teaching materials for any education purpose with a background from the construction industry, and can be used by both faculty and students. Originality/value- This paper fulfils a knowledge management need and offers a practical tool for an academic starting out on the development of knowledge-based teaching cases and other teaching materials or for a student going through the case studies and other learning materials.

A neurofuzzy network knowledge extraction and extended gram-Schmidt algorithm for model subspace decomposition

This paper introduces a new neurofuzzy model construction and parameter estimation algorithm from observed finite data sets, based on a Takagi and Sugeno (T-S) inference mechanism and a new extended Gram-Schmidt orthogonal decomposition algorithm, for the modeling of a priori unknown dynamical systems in the form of a set of fuzzy rules. The first contribution of the paper is the introduction of a one to one mapping between a fuzzy rule-base and a model matrix feature subspace using the T-S inference mechanism. This link enables the numerical properties associated with a rule-based matrix subspace, the relationships amongst these matrix subspaces, and the correlation between the output vector and a rule-base matrix subspace, to be investigated and extracted as rule-based knowledge to enhance model transparency. The matrix subspace spanned by a fuzzy rule is initially derived as the input regression matrix multiplied by a weighting matrix that consists of the corresponding fuzzy membership functions over the training data set. Model transparency is explored by the derivation of an equivalence between an A-optimality experimental design criterion of the weighting matrix and the average model output sensitivity to the fuzzy rule, so that rule-bases can be effectively measured by their identifiability via the A-optimality experimental design criterion. The A-optimality experimental design criterion of the weighting matrices of fuzzy rules is used to construct an initial model rule-base. An extended Gram-Schmidt algorithm is then developed to estimate the parameter vector for each rule. This new algorithm decomposes the model rule-bases via an orthogonal subspace decomposition approach, so as to enhance model transparency with the capability of interpreting the derived rule-base energy level. This new approach is computationally simpler than the conventional Gram-Schmidt algorithm for resolving high dimensional regression problems, whereby it is computationally desirable to decompose complex models into a few submodels rather than a single model with large number of input variables and the associated curse of dimensionality problem. Numerical examples are included to demonstrate the effectiveness of the proposed new algorithm.

Establishing a connection between knowledge transfer and innovation diffusion

Successful innovation diffusion process may well take the form of knowledge transfer process. Therefore, the primary objectives of this paper include: first, to evaluate the interrelations between transfer of knowledge and diffusion of innovation; and second to develop a model to establish a connection between the two. This has been achieved using a four-step approach. The first step of the approach is to assess and discuss the theories relating to knowledge transfer (KT) and innovation diffusion (ID). The second step focuses on developing basic models for KT and ID, based on the key theories surrounding these areas. A considerable amount of literature has been written on the association between knowledge management and innovation, the respective fields of KT and ID. The next step, therefore, explores the relationship between innovation and knowledge management in order to identify the connections between the latter, i.e. KT and ID. Finally, step four proposes and develops an integrated model for KT and ID. As the developed model suggests the sub-processes of knowledge transfer can be connected to the innovation diffusion process in several instances as discussed and illustrated in the paper.

Towards a semiotic approach to practice-oriented knowledge transfer

With the rapid growth of information and technology, knowledge is a valuable asset in organisation which has become significant as a strategic resource. Many studies have focused on managing knowledge in organisations. In particular, knowledge transfer has become a significant issue concerned with the movement of knowledge across organisational boundaries. It enables the exploitation and application of existing knowledge for other organisations, reducing the time of creating knowledge, and minimising the cost of organisational learning. One way to capture knowledge in a transferrable form is through practice. In this paper, we discuss how organisations can transfer knowledge through practice effectively and propose a model for a semiotic approach to practice-oriented knowledge transfer. In this model, practice is treated as a sign that represents knowledge, and its localisation is analysed as a semiotic process.

Collaboration model for SSMEnetUK: a service science perspective

This paper aims to design a collaboration model for a Knowledge Community - SSMEnetUK. The research identifies SSMEnetUK as a socio-technical system and uses the core concepts of Service Science to explore the subject domain. The paper is positioned within the concept of Knowledge Management (KM) and utilising Web 2.0 tools for collaboration. A qualitative case study method was adopted and multiple data sources were used. In achieving that, the degree of co-relation between knowledge management activities and Web 2.0 tools for collaboration in the scenario are pitted against the concept of value propositions offered by both customer/user and service provider. The proposed model provides a better understanding of how Knowledge Management and Web 2.0 tools can enable effective collaboration within SSMEnetUK. This research is relevant to the wider service design and innovation community because it provides a basis for building a service-centric collaboration platform for the benefit of both customer/user and service provider.

Mapas de Conhecimento: Em Busca de um Instrumento de Aplicação nas Organizações para Operacionalização da Gestão do Conhecimento

The present work consists on the development and exploration of a knowledge mapping model. It is aimed in presenting and testing that model in an exploratory manner for the operationalization in theoretical terms and its practical application. For this proposal, it approaches ¿knowledge management¿ by three dimensions of management: processes control, results control and leadership. Assuming the inherently personal character of knowledge and admitting the impossibility for the management to command the individuals knowledge mental processes, this study states the possibility for management to control the organizations information processes, to state and to monitor the objectives and to lead people. Therefore, the developed tool searches to graphically represent the people¿s knowledge, which becomes, consequently, information. Also it evaluates the individual¿s maturity against the identified knowledge and prescribes, according to the Situational Leadership Theory, a style of leadership in compliance with the respective maturities. The knowledge map considered here translates the graphical representation of the relevant knowledge that is said to reach the objectives of the organization. That fact allows the results management for two reasons: first, the knowledge items are directly or indirectly connected to an objective and second, the knowledge map developed indicates a importance grade of the identified knowledge for the main objective stated. The research strategy adopted to explore the model of knowledge mapping and to test its applicability, also identifying its possible contributions and limitations, is the Actionresearch. Following the research strategy¿s prescribed stages, the knowledge map, as considered by this study, was applied in a software development company to hospitals, clinics and restaurants management which is called ¿Tergus Systems and Consulting¿. More precisely, the knowledge map was applied in the customer support company¿s area for hospitals. The research¿s empirical evidences had concluded that the model is applicable with low level of complexity, but with great demand of time. The more important contributions are related to the identification of the relevant knowledge to the department objectives in set with a prescription of the knowledge capture and transference necessities, as well as, the orientation for the appropriate leadership style for each subordinate related to the knowledge item in question.

Alinhamento estratégico de TI: avaliando as percepções de executivos de negócio e TI

The Information Technology (IT) is a concept which has gained importance for organizations. It is expected that the strategic use of IT not only sustain the business operations of enterprises, but mainly leverage the initiative of new competitive strategies. However, these expectations on the earnings with the IT not have been achieved and questions arise about the return of the investments in IT. One of the causes is credited to the lack of alignment between the strategies of business and IT. The search of strategic alignment between IT and business takes to the necessity of measure it. This assessment can help identify whether the perceptions of business executives and IT executives, about the strategic alignment of IT, are similar or different. The objective of this work is to investigate the perceptions of business executives and IT executives in relation to the IT strategic alignment implemented in a selected organization. It was conducted a case study, in a company that provides services to the financial market. As a result, this work identified that there is no statistically significant difference between the perceptions of business executives and IT executives, related to the level of IT strategic alignment maturity implemented in the organization, and highlighted factors that promote this alignment: (a) senior management supports the IT (b) IT takes part of strategic planning, (c) IT understands the business of the company, and (d) there is a partnership between business and IT executives. Additionally, it was proposed that these similar perceptions result from the sharing of assumptions, knowledge and common expectations for the IT strategic alignment between the two groups of executives interviewed, and that led the company to achieve a higher level of IT strategic alignment. Each Practice of Strategic Alignment was examined separately. Although not have statistically significant differences between the perceptions of business executives and IT executives, the practices of Communication, Measures of Value and Competence, and Skills were better assessed by business executives and the practices of Governance and Partnerships have been better perceived by IT executives. The practice of Scope and Architecture and the IT Strategic Alignment, showed no differences in perceptions between the two groups of executives.

Knowledge-based risk management: Survey on Brazilian software development enterprises

A risks management, carried on in an effective way, leads the software development to success and may influence on the organization. The knowledge takes part of such a process as a way to help taking decisions. This research aimed to analyze the use of Knowledge Management techniques to the Risk Management in software projects development and the possible influence on the enterprise revenue. It had, as its main studying subject, Brazilian incubated and graduated software developing enterprises. The chosen research method was the Survey type. Multivariate statistical methods were used for the treatment and analysis of the obtained results, this way identifying the most significant factors, that is, enterprise's achievement constraining factors and those outcome achievement ones. Among the latter we highlight the knowledge methodology, the time of existence of the enterprise, the amount of employees and the knowledge externalization. The results encourage contributing actions to the increasing of financial revenue. © 2013 Springer-Verlag.

Mixed methodology to analyze the relationship between maturity of environmental management and the adoption of green supply chain management in Brazil

The aim of this research is to verify the relationship between the maturity levels of environmental management and the adoption of green supply chain management (GSCM) practices by electro-electronic companies in Brazil. In this work a two-phase research was conducted, with one quantitative and the other qualitative. The quantitative phase aimed to test whether a relationship between the maturity levels of environmental management and GSCM exists, while the qualitative phase tried to detail the characteristics of this relationship. The quantitative phase was conducted through a survey with 100 Brazilian electro-electronic companies and the collected data were processed using Structural Equation Modeling. For the qualitative phase, a multiple case study was conducted with three companies located in Brazil. The results indicate that: (1) The main hypothesis was confirmed and considered statistically valid, indicating that, indeed, the maturity level of environmental management influences the adoption of GSCM practices; (2) a coevolution tends to occur between the environmental maturity and the GSCM practices; that is, the more developed is the company's environmental management, more complex GSCM practices are adopted; and (3) the GSCM internal practices tend to present a greater relative adoption than the external practices; these external practices of GSCM tend to be adopted when the company is inserted in a higher environmental stage and/or operates under a scenario of stronger normative environmental pressure. By the way, this is the first research mixing survey and case studies on GSCM in Brazil. (C) 2014 Elsevier B.V. All rights reserved.

Analysis of the interplay between knowledge and performance management in industrial clusters

The concept of industrial clustering has been studied in-depth by policy makers and researchers from many fields, mainly due to the competitive advantages it may bring to regional economies. Companies often take part in collaborative initiatives with local partners while also taking advantage of knowledge spillovers to benefit from locating in a cluster. Thus, Knowledge Management (KM) and Performance Management (PM) have become relevant topics for policy makers and cluster associations when undertaking collaborative initiatives. Taking this into account, this paper aims to explore the interplay between both topics using a case study conducted in a collaborative network formed within a cluster. The results show that KM should be acknowledged as a formal area of cluster management so that PM practices can support knowledge-oriented initiatives and therefore make better use of the new knowledge created. Furthermore, tacit and explicit knowledge resulting from PM practices needs to be stored and disseminated throughout the cluster as a way of improving managerial practices and regional strategic direction. Knowledge Management Research & Practice (2012) 10, 368-379. doi:10.1057/kmrp.2012.23