scholarly journals The Evolution of Data Science

2019 ◽  
Vol 15 (2) ◽  
pp. 97-109 ◽  
Author(s):  
Jennifer Lewis Priestley ◽  
Robert J. McGrath
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Private Sector ◽  
Computer Science ◽  
Knowledge Production ◽  
Data Science ◽  
Management Practices ◽  
Academic Discipline ◽  
Academic Disciplines ◽  
Knowledge Management Practices

Is data science a new field of study or simply an extension or specialization of a discipline that already exists, such as statistics, computer science, or mathematics? This article explores the evolution of data science as a potentially new academic discipline, which has evolved as a function of new problem sets that established disciplines have been ill-prepared to address. The authors find that this newly-evolved discipline can be viewed through the lens of a new mode of knowledge production and is characterized by transdisciplinarity collaboration with the private sector and increased accountability. Lessons from this evolution can inform knowledge production in other traditional academic disciplines as well as inform established knowledge management practices grappling with the emerging challenges of Big Data.

scholarly journals Towards the development of a knowledge management practices survey for application in knowledge intensive organisations

2008 ◽  
Vol 39 (1) ◽  
pp. 45-53 ◽  
Author(s):  
C. Steyn ◽  
M. Kahn
Keyword(s):  
Knowledge Management ◽  
Public Sector ◽  
Private Sector ◽  
Management Practices ◽  
Methodological Approach ◽  
Social Science Research ◽  
Principal Component ◽  
Critical Determinant ◽  
Knowledge Management Practices ◽  
Knowledge Intensive

Various surveys of Knowledge Management Practices (KMPs) in private firms show how an increasing awareness of Knowledge Management (KM) is a critical determinant of an organisation’s competitiveness. While private sector strategies favouring internal knowledge sharing and external knowledge protection often provide strategic advantage, public sector research organisations such as South Africa’s science councils operate in an environment where, for reasons of wider public interest, transparency is encouraged and knowledge is rendered widely accessible. Unfortunately, however, little has been done to develop rigorous measurements of KMPs in such knowledge intensive organisations (KIOs) that primarily engage in knowledge intensive service activities. To complicate matters further, the majority of studies have been inter-organisational and multi-sectoral, focusing on large organisations in the private sector. Few studies have measured perceptions of KMPs amongst employees of a single organisation and even fewer have focused on KMPs within the public sector. This paper will discuss the theoretical and methodological approach used in the development of a survey aimed at measuring employee perceptions of KMPs within the Human Sciences Research Council (HSRC), one of South Africa’s largest public KIOs dedicated to ‘social science research that makes a difference.’ Principal component analysis of the survey data revealed six factors or constructs applicable to the measurement of KMPs. The results validate the survey instrument and offer a contribution toward the development of a KMP measurement instrument that may be applied across other KIOs in South Africa.

Transforming big data into knowledge: the role of knowledge management practice

2019 ◽  
Vol 57 (8) ◽  
pp. 1902-1922 ◽  
Author(s):  
Roberto Chierici ◽  
Alice Mazzucchelli ◽  
Alexeis Garcia-Perez ◽  
Demetris Vrontis
Keyword(s):  
Social Media ◽  
Big Data ◽  
Knowledge Management ◽  
Management Practices ◽  
Equation Modeling ◽  
Clear Understanding ◽  
Content Type ◽  
Innovation Capacity ◽  
Knowledge Management Practices

Purpose The purpose of this paper is to empirically investigate how big data collected from social media contribute to knowledge management practices, innovation processes and business performance. Design/methodology/approach The study used 418 questionnaires collected from firms that actively invest in marketing, advertising and communication in the Italian market. The hypotheses testing and analysis were conducted using structural equation modeling. Findings The results reveal that customers’ data gathered from social media produce different effects on knowledge management practices and firms’ innovation capacity. Furthermore, increased innovation capacity turned out to affect customer relationship performance directly, while it contributes to gain better financial performance only when it is used to gain relational outcomes. Originality/value The outcomes of the study help firms to develop a clear understanding about which big data retrieved from social media can be useful to improve their knowledge management practices and enhance their innovation capacity. Moreover, by investigating the mediating role of big data knowledge management in the context of social media knowledge acquisition and innovation capacity, this study also extends the mediation variables used to understand the relationship between knowledge capabilities and practices and innovation constructs.

scholarly journals Knowledge Management Practices for Sustainable Supply Chain Management: A Challenge for Business Education

2021 ◽  
Vol 13 (5) ◽  
pp. 2956
Author(s):  
Tomas Cherkos Kassaneh ◽  
Ettore Bolisani ◽  
Juan-Gabriel Cegarra-Navarro
Keyword(s):  
Knowledge Management ◽  
Management Practices ◽  
Descriptive Analysis ◽  
Sustainable Supply Chain ◽  
Business Managers ◽  
Environmentally Sustainable ◽  
Critical Resource ◽  
Knowledge Management Practices ◽  
Future Business

In the last decades, business competition has been increasingly among supply chains (SCs) rather than individual firms. Today, considering the challenges of environmental, social, and economic sustainability, it is becoming even more vital to coordinate and co-manage company resources, activities, and innovative efforts at the SC level. Consequently, knowledge, which is a critical resource for companies, needs to be managed properly not only in single firms but also across SCs. For the education of business managers, this implies a double challenge: first, to make students and future executives become aware of the knowledge management (KM) practices that can be adopted; second, to facilitate the assimilation of these practices for the effective management of SCs, to ensure higher economic and environmentally sustainable performances. Standard definitions and classifications can be of great help, but the current studies are very fragmented. This study contributes by exploring the literature and examining the KM practices that are proposed and defined by the different authors. A systematic review and a descriptive analysis of selected papers showed the trend and focus of papers in the KM and SC fields. In addition, based on the definitions and classifications drawn from the literature, this paper discusses a possible systematization of the key KM practices in SCs. The major contribution of this paper is the effort of re-definition and re-classification of KM practices and their potential importance for effective and sustainable SC management. This analysis can be especially useful for organizing KM courses targeted to current and future business managers.

Knowledge management practices for innovation: a multinational corporation’s perspective

2014 ◽  
Vol 18 (5) ◽  
pp. 905-918 ◽  
Author(s):  
Daniel Jiménez-Jiménez ◽  
Micaela Martínez-Costa ◽  
Raquel Sanz-Valle
Keyword(s):  
Social Capital ◽  
Knowledge Management ◽  
Management Practices ◽  
Organizational Innovation ◽  
Multinational Companies ◽  
Transfer Of Knowledge ◽  
Content Type ◽  
Reverse Knowledge Transfer ◽  
Knowledge Management Practices ◽  
Different Sources

Purpose – This paper aims to assess the importance of different knowledge management practices to promote organizational innovation in multinational companies. The links among internationalization, reverse knowledge transfer and social capital and organizational innovation are analyzed. Design/methodology/approach – Structural equation modeling was used to check the research hypotheses with a sample of 104 multinational companies. Findings – The results show that internalization has no direct effect on organizational innovation but a indirect effect trhrough the transfer of knowledge from external subsidiaries to the headquarter. Furthermore, this knowledge and other that comes from internal and external social capital is essential for the development of innovations. Research limitations/implications – Self-reporting by the CEOs may be the most significant limitation, as a single key informant provided the data; multiple informants would enhance the validity of the research findings. A second limitation is the cross-sectional design of the research that does not allow observation of the short- and long-term impact of the relationships among the variables. Practical implications – Organizational innovation is not an easy task. However, those multinational companies which foster knowledge management practices that generate new knowledge from external subsidiaries, internal or external social relationships, will facilitate the generation of innovations. In consequence, these companies should foster the generation of knowledge from different sources. Originality/value – The focus of the study in this paper is on multinational companies and the possibility to acquire knowledge from different sources (inside organization, external local environment and international context). Specially, focus on the transfer of knowledge from subsidiaries to headquarters (reverse knowledge transfer), as it is insufficiently investigated by current literature.

scholarly journals Knowledge Management and Organizational Culture: An Exploratory Study

2013 ◽  
Vol 3 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Bing Li ◽  
Jianpeng Zhang ◽  
Xiaoxia Zhang
Keyword(s):  
Organizational Culture ◽  
Knowledge Management ◽  
Management Practices ◽  
Empirical Relationship ◽  
Organizational Factors ◽  
Equation Modeling ◽  
Specific Situation ◽  
Knowledge Management Practices ◽  
Cultural Traits ◽  
The Relationship

Abstract Purpose of the article Knowledge has been considered as the strategic assets and become the source of competitive advantage in organizations. Knowledge management thus receives the extraordinary attention from the top management. Many organizational factors have influences on knowledge management practices. This paper attempts to explore the empirical relationship between knowledge management and organizational culture in the specific situation of China’s commercial banking industry. Methodology/methods The relationship between knowledge management and organizational culture is quantitatively investigated by surveying bank managers. The scale of SECI modes is used to measure knowledge management process and the scale of Denison Organizational Culture Survey (DOCS) is used to measure organizational culture. We explore the underlying relationship by employing the statistical analyses such as correlation, regression and structural equation modeling. Scientific aim The research aims at testing the relationship between knowledge management and organizational culture, and furthermore if there exist linkages between cultural traits and SECI modes. Findings The results of the empirical study confirm the great and positive effect that organizational culture has on knowledge management. Different cultural traits contribute to different SECI modes. Conclusions For obtaining successful knowledge management practices in organizations, it is better to concern about the relationship between knowledge management and organizational culture. The limitation in the paper is the sampling size, which will be solved by an industry-wide survey in our future research.

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