Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food sector

Abstract

Purpose-This paper aims to critique a facilitated knowledge management (KM) process that utilises filtered big data and, specifically, the process effectiveness in overcoming barriers to small and medium-sized enterprises' (SMEs') use of big data, the processes enablement of SME engagement with and use of big data and the process effect on SME competitiveness within an agri-food sector. Design/methodology/approach-From 300 participant firms, SME owner-managers representing seven longitudinal case studies were contacted by the facilitator at least once-monthly over six months. Findings-Results indicate that explicit and tacit knowledge can be enhanced when SMEs have access to a facilitated programme that analyses, packages and explains big data consumer analytics captured by a large pillar firm in a food network. Additionally, big data and knowledge are mutually exclusive unless effective KM processes are implemented. Several barriers to knowledge acquisition and application stem from SME resource limitations, strategic orientation and asymmetrical power relationships within a network. Research limitations/implications-By using Dunnhumby data, this study captured the impact of only one form of big data, consumer analytics. However, this is a significant data set for SME agri-food businesses. Additionally, although the SMEs were based in only one UK region, Northern Ireland, there is wide scope for future research across multiple UK regions with the same Dunnhumby data set. Originality/value-The study demonstrates the potential relevance of big data to SMEs' activities and developments, explicitly identifying that realising this potential requires the data to be filtered and presented as market-relevant information that engages SMEs, recognises relationship dynamics and supports learning through feedback and two-way dialogue. This is the first study that empirically analyses filtered big data and SME competitiveness. The examination of relationship dynamics also overcomes existing literature limitations where SMEs' constraints are seen as the prime factor restricting knowledge transfer.

Shifting intra‐ and inter‐organizational innovation processes towards digital business: An empirical analysis of SMEs

“…SMEs can exploit opportunities and overcome the liability of their small size by collaborating with external partners, such as customers, suppliers and other enterprises (Hanna & Walsh, ; Parida, Westerberg, & Frishammar, ). In this scenario, ICTs enable SMEs to break out of geographic and resource barriers, greatly enhancing long‐distance communication and knowledge sharing, accessing flows of knowledge and big data (O'Connor & Kelly, ). The hallmarks of new ICTs, which include rapid search, access, retrieval and exchange of information, make these technologies suitable for collaboration and knowledge sharing.…”

“…greatly enhancing long-distance communication and knowledge sharing, accessing flows of knowledge and big data(O'Connor & Kelly, 2017). The hallmarks of new ICTs, which include rapid search, access, retrieval and exchange of information, make these technologies suitable for collaboration and knowledge sharing.…”

The crucial role of market intelligence in the development of small business marketing capabilities

“…To date, small businesses have generally had limited exposure to such formalized sources of MI (Jocumsen, 2004;O'Connor and Kelly, 2017). However, MI resources are becoming increasingly more accessible to small businesses through funding from governmental bodies and technological aided delivery.…”

Effect of Human Capital and Dynamic Capabilities on Competitive Advantage: Mediating Analysis

“…A review of literature suggests that there are a handful of studies available on agribusiness firms [7,8,5,9], with different sources of competitive advantage being proposed. Majority of the studies found human capital as source of competitive advantage of agribusiness sector.…”