Future Network Systems and Security by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9783319944210
Publisher: Springer International Publishing

Keywords

Knowledge Management [KM]Knowledge Management Systems [KMS]Small to Medium Enterprises [SMEs]Knowledge attritionSECI

1 Introduction

The foundation of organisational competitiveness has shifted from physical and tangible resources to knowledge [1]. Knowledge is regarded as an asset that is essential to the success of contemporary societies and organisations [2–4]. Due to its dynamism and complexity, knowledge is both difficult to imitate and business-specific which allows for the creation of long-term competitive advantages, cost savings and continual growth when utilised effectively [3, 5, 6]. Knowledge Management [KM] assists organisations in doing so. It aims to reshape organisational culture, structure, systems and technologies in an effort to enhance collaboration, productivity and creativity [7, 8]. Furthermore, knowledge and KM are unique concepts as they are both explicitly and implicitly utilised within a wide range of industries, businesses and organisations, including Small to Medium Enterprises [SMEs] [3, 9, 10].

SMEs are considered as the backbone of economic development, competition and innovation in many regions throughout the world [11–13]. For instance, SMEs represent at least 90% of all businesses in America [14], the European Union [15], Australia [16] and New Zealand [13]. However, what constitutes as an SME is different depending on the governing body defining it. The Ministry of Business, Innovation and Employment [13] states that businesses within New Zealand should have less than 50 employees to be considered as an SME. In comparison to other parts of the world, America and the European Union both consider SMEs to have less than 500 and 250 employees, respectively [15, 17]. Even though this is understandable due to the variations in size and population, this difference in definitions has the potential to create issues in terms of generalisability.

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