Disciplinary-Based Knowledge Management Systems' Potentialities of Collaborative-Integrative Linkages: Ethical Action-Learning Solutions' Frameworks for Supportive Entrepreneurial Ecosystems

Introduction

This chapter article introduces students, practitioners, and professionals of the various academic disciplines to the obligatory mechanisms of the potentialities of knowledge management systems (KMS) implication on the supportive entrepreneurial ecosystems. The ecology of KMS and connections with information systems have an evolving disciplinary appeal for dealing with data creation, collection, and management, operational and transactional data distribution, leveraging information-rich structures, and capturing analytic, explicit, implicit, and tacit knowledge along a continuum over some time, thus providing comprehensive understanding across disciplinary boundaries (Asquith et al., 2018; Dalkir, 2011; Dyball & Newell, 2015; Mcinerney & Koenig, 2011). The practical application of KMS and information systems’ implication on the supportive entrepreneurial ecosystems can objectively and subjectively improve organizational decision-making, collaboration, competitiveness, and inclusive performance and advance sustainable customer relationship management (Cardoni et al., 2020; Castagna, 2020; Malecki, 2018). The obligatory mechanisms that shape KMS and information systems play a vital role in fostering effectiveness-based and efficiency-focused activities of the energetic, supportive entrepreneurial ecosystems to promote a firm’s enterprise system management and technology discipline to coordinate all business processes for growing customer niches (Castagna, 2020; Chen et al., 2023).

For Bergek et al. (2008), the powerful force of obligatory mechanisms supplies performance analytic schemes for tracing the dynamic processes that require information systems’ innovation to serve as a precursor in stimulating the capabilities of KMS to capture and operationalize the essential structure characteristics of entrepreneurial ventures. Such performance analytic schemes can aid in showcasing innovation systems’ dynamics that underlie KMS by defining the information systems’ core structural components, functional patterns, innovation inducements, and blockading mechanisms across supportive entrepreneurial ecosystems (Bergek et al., 2005; 2008; Li et al., 2023). Therefore, the extent to which KMS’ potentialities implicate supporting entrepreneurial ecosystems can enormously affect the functional dynamics of information systems’ innovation for organizational advancement (Audretsch et al., 2023; Ribbat & López, 2023). Such information systems’ functional dynamics will most likely shape KMS’ operational design, systemic development, supply-chain implementation, and coordination of production systems that collect, stockpile, channel, dissect, and dispense information to maximize a firm’s above-average returns (Fallah Shayan et al., 2022; Redding, 2023).