Knowledge management in client–supplier relationship: emergent <Emphasis Type="Italic">vs</Emphasis> deliberate approach in small KIBS

It is often argued that small–medium enterprises (SMEs) do not manage knowledge the same way as large firms, but may need appropriate approaches to capture and exploit external knowledge effectively. This paper compares two opposite approaches to knowledge management (KM): one is called ‘deliberate’ or ‘planned’, and the other ‘emergent’. These approaches are analysed with reference to the management of knowledge pertaining to client–supplier relationships, which are particularly important in the case of small companies providing knowledge-intensive business services (KIBS). A case study of a small KIBS company is illustrated, which has developed two different projects, based on different approaches to KM, for managing knowledge referring to clients. The case shows that, for a small company, an emergent approach to KM can be more suitable than a deliberate one for managing such knowledge. The implications of this result for KM research and practice are then examined.     

Aggressively pursuing knowledge management over 2 years: a case study at a US government organization

As the US federal civilian workforce is ‘graying’, knowledge management (KM) can play a critical role in the strategic management of human capital in a government organization. KM should probably be a key pillar of the human capital strategy, along with competency management, performance management, and change management. Even though the need is great for knowledge management in government organizations, many of these agencies do not have a clear vision or strategy as to how to implement KM in their organization. To help those in the federal sector in implementing KM, this paper will discuss components of the knowledge management implementation plan at a leading US government organization (using GOV as the pseudonym) following a KM pyramid framework.     

The impact of knowledge management and social capital on dynamic capability in organizations

The Holy Grail in strategic management is the Dynamic Capability (DC) of organizations to realize sustainable competitive advantage. This requires organizations to continuously sense market changes and adapt their resources and routines accordingly, for which they are heavily dependent on knowledge. Knowledge as an antecedent for DC is, however, understudied. Inspired by the recognition of knowledge as an antecedent for DC, this paper sets out to uncover how organizations can foster DC from a knowledge management (KM) perspective. In an empirical survey on 55 knowledge-intensive organizations, we studied DC in organizations from two key perspectives on knowledge: formal, through the adoption of KM policies, and informal, through the availability of social capital. Our research results show that, although a formal KM approach strengthens DC, the availability of social capital appears unrelated to DC. The paper concludes with a practical outlook on advancing DC.     

A sensemaking model of knowledge in organisations: a way of understanding knowledge management and the role of information technologies

The objective of the paper is to demonstrate how a sensemaking model of knowledge enables better and deeper understanding of knowledge management (KM) processes in organisations and the role of information technologies (IT) in these processes. Inspired and informed by a sensemaking view of organisations, the model identifies four types of knowledge, corresponding to four sensemaking levels: the individual, collective, organizational, and cultural. Each knowledge type, as the paper shows, is of different nature and has different characteristics but is constituted and affected by all other knowledge types. An organisation is thus seen as a ‘distributed knowledge system’ composed of numerous instances of these four knowledge types and their dynamic interplay. By drawing from three empirical studies, the paper illustrates how the sensemaking model of knowledge can be applied to investigate different ways companies (try to) manage knowledge and use IT-based systems to improve KM and ultimately company performance. A deeper understanding of these processes through the lens of the model reveals mechanisms and forces underlying KM phenomena that help explain why some processes were successful and others failed. The paper intends to make the following contributions: propose a theoretical framework of knowledge and KM in organizations, which is reasonably comprehensive and empirically grounded and also demonstrate its relevance and usefulness to both researchers and practitioners as they investigate and make sense of specific KM processes and IT applications in practice.     

An application of the knowledge management maturity model: the case of credit unions

The purpose of this study is to investigate the level of knowledge management (KM) maturity of credit unions. The application of a maturity model to 15 credit unions in North America revealed that an overall level of KM maturity is at an early stage of development, but there are signs of future improvement. Credit unions operate in a highly competitive, knowledge-intensive financial industry and experience various pressures to increase their efficiency, which they can achieve through the implementation of KM solutions. Despite the absence of official KM strategies, KM projects were introduced locally in order to fill particular knowledge gaps. The availability of IT infrastructure and the implementation of KM-related technologies alone are insufficient to ensure universal success of organizational KM activities. Credit union managers periodically access and use academic research in their decision making. At the same time, they prefer accessing scholarly knowledge in translated form from books, practitioner magazines, and consultants. It was concluded that organizations competing in the knowledge-intensive sector have an inner need for KM solutions.     

Exploring knowledge management implementation in large-sized service organizations – Saudi Arabia as a case

Whereas there is a growing literature that investigates knowledge management (KM) in service corporates, yet the overview and understanding of KM in large-sized service organisations is yet limited and sparse. Transitional economies, like of Saudi Arabia, are highly motivated to establish a knowledge based structure both economically and socially. There is an urgent need for exploring the current situation of KM tools usage and of perspectives on knowledge and knowledge management, as a start by large sized service organisations. Towards further understanding in this regard, this paper explores the status and potentials of KM implementation scoped to Saudi large-sized service organisations. The paper triangulated an interviewer-administrated questionnaire and focus groups to gather the data. The results indicate that although the weighted average of KM tools/methods deployment (being deployed or can possibly be deployed) reaches 79%; however, the written comments in front of each tool indicates that the participants’ understanding of what KM seems distorted, which is confirmed in the coding of their definitions of the term ‘Knowledge’. The participants identified leadership and strategy formulation as the top two critical success factors. A number of other results are presented and several issues were identified for future research.     

An investigation into the factors affecting knowledge management adoption and practice in the life insurance business

Knowledge management (KM) is crucial for organizations to enhance competitive advantage. While the issues of KM have been widely discussed by numerous researchers, there is a paucity of studies pertaining to KM adoption and practice for the life insurance industry. Therefore, this paper aims to investigate the main factors affecting the life insurance business in adopting and applying KM. An exploratory field study utilizing an inductive methodology involving a multiple-case study approach was undertaken by conducting interviews with 10 key knowledge workers from life insurance enterprises in various stages of KM development and use. We utilized content analysis techniques to identify the factors with their associated variables and further developed a research model. This study offers a comprehensive model for future KM research and provides managerial implications for organizations, particularly life insurance enterprises, to better realize the worth of KM and the possible impediments involved in the processes of adopting and implementing KM.     

Classification of different knowledge management development approaches of SMEs

There is established evidence to suggest that small- and medium-sized enterprises (SMEs) face different knowledge management (KM) challenges to larger firms. There is emerging theory and practice concerning KM in SMEs as a whole. SMEs may not, however, be an homogeneous group when addressing KM. The study's objective was to investigate whether there are different approaches towards KM development within SMEs. The responses of 33 SMEs to a 60-item structured analysis of KM practices were analysed using hierarchical cluster analysis, ANOVA and post hoc multiple comparisons of means. Four distinct configurations of practices were identified. These were the KM practices of ‘unengaged’ businesses, ‘comprehensive KM practice’ businesses, ‘knowledge-ownership oriented’ businesses and ‘learning and co-production oriented’ businesses. These different groups of SMEs appear to approach KM in fundamentally different ways. The categorisation provides a useful framework for addressing the take-up of KM initiatives in SMEs.     

A study of knowledge management enablers across countries

Knowledge has been long cited as a strategic asset and a source of competitive advantage for organizations. However, the creation of knowledge is a complex process that is influenced by several factors beyond the typical practice of knowledge management (KM). In this research, we assess the effects of leadership, Ba (shared context in motion), organizational culture, organizational control, and work style on KM defined in terms of the SECI process of socialization, externalization, combination, and internalization. On the basis of data gathered from a questionnaire survey of a Japanese pharmaceutical company and its subsidiaries in the United States, France, and China, we compare how the aforementioned organizational factors influence the processes of KM in these organizations. The results show that organizational factors affect KM practices differently in each of the targeted countries, and suggest that KM activities need to be tailored to the organizational idiosyncrasies of each local office, without betraying the global vision of the corporation.     

Knowledge management taxonomy in the Brazilian automotive industry

Knowledge management (KM) is based on contextual factors of the organization, such as human resources, organizational culture, and organizational structure, developed separately by the organizations. This research aims to identify clusters for the development of these contextual factors. The research was based on an instrument containing questions that evaluate the degree of development of the contextual factors of the organization. We collected data from 78 companies of the Brazilian automotive industry, and analyzed them from multivariate techniques of factor analysis, cluster analysis, and discriminant analysis. The research results present four distinct clusters for the development of the contextual factors that support KM. The mapped clusters indicate that a small group of companies are innovative and explorative of knowledge and lead the industry’s creative process, while the other two groups, called exploitative and retardative companies, follow the development proposed by the companies of the two first groups.     

The value creation cycle: moving towards a framework for knowledge management implementation

Researchers have emphasized on the need for advances in knowledge management (KM) research to better understand how organizations accrue benefits from their knowledge resources. Thus, an integrated approach, rooted in the theoretical streams of knowledge-based view, KM and institutional theory, is proposed to explain how a successful KM program creates value. The approach discusses four organizational capabilities that firms need to develop simultaneously to create KM-enabled value, and identifies possible organizational actions to develop these capabilities. Various feedback and feed-forward processes, originating inside as well as outside the firm, integrate these capabilities into a KM-enabled value creation cycle (VCC). Key propositions were developed, and were examined with the help of three case studies.     

Does local knowledge spillover matter for firm productivity? The role of financial access and corporate governance

Global productivity growth has either stagnated or declined, despite continued technological innovations with the rise of knowledge-intensive intangibles that arise from the growth of knowledge stock (R&D activities). Understanding the root causes of this paradox in the context of growing economies requires an investigation of whether local knowledge diffusion can explain firm-level productivity differences, including key constraining factors like sources of financing or corporate governance structure. Using financial data of 7970 Indian firms over a 20-year period and clustering firms across industries, we assess the impact of R&D stock that is external to the firm through estimating both within (intra) and between (inter) industry spillovers. We find that both R&D and non-R&D-performing firms benefit from ‘between industry’ spillovers. We further show that firms with better access to finance achieve higher productivity, not only through their own R&D capital stock but also via both types of industry-level knowledge spillover. We allow for the two key sources of international spillovers namely import intensity and FDI. While import-intensive firms experience lower productivity, FDI mitigates this adverse productivity effect across knowledge-intensive exporting firms. The paper concludes that financially unconstrained firms and firms with greater corporate board connectedness derive positive industry-level spillover effects, reflecting intra- and inter-industry as domestic spillover or local value-chain effect in the literature on technological innovation.     

Knowledge management process effectiveness: measurement of preliminary knowledge management implementation

While knowledge management (KM) has been widely discussed by many academics and practitioners, measurement is undoubtedly the least developed aspect of KM due to the intangibility of knowledge assets. It is of paramount importance to establish performance measures at different stages of KM implementation even from the beginning so that its effectiveness can be identified. This paper thus serves to explore KM performance measurement from the angle of KM process effectiveness. Through the data collected from 289 managers in the Malaysian telecommunication industry, where KM implementation is just beginning to take place, significant interactions were found between four of the five proposed KM preliminary success factors (i.e. business strategy, K audit, K map, KM team) and all four KM elements of strategies (i.e. technology, culture, leadership, measurement) with KM process effectiveness. The findings of this study serve as a guide for organizations in driving their KM journey and reaching their destinations even at the beginning stage of their KM implementation.     

A cloud computing adoption in Indian SMEs: Scale development and validation approach

The purpose of this research article is to identify the critical success criteria/factors that affect the cloud computing adoption and examine structure, reliability and validity of the criteria in the SMEs industry. This study considers nine types of criteria/factors with fifty-one sub-criteria, which have somewhat previously been used, and creates a ranking model that offers decision makers to measure the prior implementation of cloud computing adoption. A questionnaire-based survey research was used to collect data from 110 firms belonging to the SMEs industry in India. In this paper, the data collected was analysed by an integrated approach. Firstly, an Analytic Hierarchy Process approach was applied to find the significant fact of each criterion as the assessable indices of the cloud computing adoption. Secondly, an Exploratory Factor Analysis and Confirmatory Factor Analysis were used to examine structure, reliability and validity of the criteria. The data was tabulated in a Microsoft Excel sheet and then imported in SPSS (Statistical Package for the Social Sciences version 20) for analysis. The findings discovered that ‘Security and Privacy’, ‘Organizational Risk’, ‘Sharing and Collaboration’, ‘Confidentiality’, and ‘Integrity’ have a major effect on the adoption of cloud computing. The research was conducted in the SMEs industry in India, which may limit the generalizability of the findings. The findings and recommendations offer cloud computing service providers as well as users with a better understanding of what affects the cloud computing adoption feature, with a relevant understanding of the current scenario. The research aided in the application of the new technology of cloud computing adoption in the SMEs industry in India through the use of a wide range of criteria. The findings also help organizations study their information technology investments when applying cloud computing.     

The development of an instrument to measure readiness for knowledge management

Implementing knowledge management (KM) projects or knowledge-sharing philosophies in organizations require significant organization change. Because the introduction of change is difficult, leaders have been encouraged to proactively prepare their organizations and its members as they begin one of these initiatives. As the first step in this process, managers should comprehensively examine their organization's underlying readiness to embrace these initiatives. Unfortunately, the measurement of an organization's readiness for KM initiatives poses significant challenges because no known instrument is available to do so. Accordingly, this study drew on the KM and organizational change literature to take a first step in the development of a synergistic instrument that measures readiness for KM and applied it in an organizational setting.     

Knowledge management technology-in-practice: a social constructionist analysis of the introduction and use of knowledge management systems

This paper argues that Knowledge Management Technology (KMT) is socially constructed in use based on the affordances and constraints of the technology artefact. Since many Knowledge Management (KM) systems are introduced with vague purposes (such as to improve knowledge sharing) it is therefore their affordances and constraints which strongly shape the socially constructed ‘KMT-in-practice’. The paper argues that knowledge is also socially constructed and that knowledge creation requires an element of surprise and challenge to routine. Using a case study of the British Council's KM programme between 1998 and 2003, the paper explores the social construction of a KMT as it is developed and used; describing how various features afforded by the technology influence its adoption and institutionalisation. The paper concludes by arguing that KMTs-in-practice, which are successful in supporting knowledge creation, must paradoxically remain in a state of neither stabilisation and acceptance, nor abandonment and disuse. Practical implications of how this might be achieved are provided.     

Knowledge-intensity as an organisational characteristic

The sector of knowledge-intensive business services (KIBS) has a central role in modern economies. However, there are no explicit and generally acknowledged criteria for characterising KIBS or other knowledge-intensive organisations. In addition, the concept of knowledge-intensity has no significant managerial use. This paper aims to widen the existing understanding about the concept of knowledge-intensity and take a step towards its operational application and managerial usefulness. Methodologically, two steps are carried out. First, a conceptual study based on intellectual capital literature and literature on knowledge-intensive firms is carried out. Second, an interview study (n=8) is carried out to empirically examine the role of knowledge assets in selected KIBS organisations. This paper contributes by tackling the vagueness of the concept of knowledge-intensity: the paper demonstrates that there are different types of ‘knowledge-intensity profiles’ among KIBS companies and that knowledge assets can be used as an analytical framework to identify the sources of value creation.     

A coherent framework for building successful KCs in the context of the knowledge-based economy

Nowadays, it is commonly accepted in both researchers' and practitioners' communities that many disciplines and practices of the knowledge management (KM) field are also relevant and applicable to the knowledge-based development. This is reflected by the fact that the theme of knowledge cities (KCs) is now a ‘hot’ topic of interest and discussion. However, as it also happened with the early stages of evolution of KM, there is neither a coherent framework nor a unified methodology for the design and implementation of successful KCs. The real success of KCs is under investigation in the research community. In this direction, the authors propose a set of hypotheses for the design, development and operation of successful KCs. Then, based on an empirical evaluation of several case studies that have been successfully put in real practice they discuss the support of each case to these hypotheses. The key findings are expressed as a framework for building successful KCs.     

Agent-based modeling of knowledge dynamics

Knowledge is distributed unevenly through most enterprises. Hence, flows of knowledge (e.g., across time, people, locations, organizations) are critical to organizational efficacy and performance under a knowledge-based view of the firm. However, supported principally by narrative textual theory in the emerging knowledge management (KM) field, the researcher has difficulty describing how different kinds of knowledge will flow through various parts of an organization. This causes difficulty also for predicting the effects of alternate approaches to dispersing knowledge that ‘clumps’ in various areas. This problem is also manifest for the KM professional, who lacks clear theory or tools to anticipate how any particular information technology or other managerial intervention may enhance or impede specific knowledge flows in the enterprise. In this expository article, we build upon a steady stream of research in computational organization theory to develop agent-based models of knowledge dynamics. This work draws from emerging theory for multidimensional representation of the knowledge-flow phenomenon, which enables the dynamics of enterprise knowledge flows to be formalized and emulated through computational models. This approach provides the means for knowledge-flow processes to be visualized and analyzed in new ways. Computational experimentation enables the performance of many alternate process designs and technological interventions to be compared through examination of dynamic models, before committing to a specific approach in practice. We illustrate this research method and modeling environment through semi-formal representation and agent-based emulation of several knowledge-flow processes from the domain of software development. We also outline key directions for the new kinds of KM research and practice elucidated by this work.     

Factors shaping organizational dynamics in strategic knowledge management

Knowledge as a valuable asset of organizations is increasingly incorporated into thinking about strategy. Studies of knowledge management (KM) suggest that executives engaged in decision making often have a slender understanding of the strategic significance of knowledge. When addressing the challenge of explicating and designing a knowledge strategy, logics of codification and personalization have been differentiated and commended. The paper draws upon evidence from four case studies to identify factors that shape the evolving contexts of knowledge strategies. It is in these contexts that the challenge of continuously reviewing and revising the mix of codifying and personalizing aspects of strategic KM is practically accomplished. The cases are analysed with reference to external competition, leadership, organizational politics, culture and technology as a basis for advancing a more dynamic framework for the analysis of knowledge strategies.