Key success factors influencing SME managers’ information behaviour on emerging ICT (EICT) adoption decision-making in UK SMEs

Abstract

Purpose While a substantial number of studies have examined information behaviour, most centred on choice of information source, student information behaviour, information behaviour of women, environmental uncertainty and scanning behaviour of top-level hotel executives. However, little is known about how the small and medium enterprise (SME) managers scan, seek, gather, document and use information relevant for emerging information and communication technology (EICT) adoption decision-making. This paper aims to examine the key success factors influencing SME manager’s information behaviour on EICT adoption decision-making. Design/methodology/approach This study deploys a qualitative approach to exploring 16 key success factors shaping SME managers’ information behaviour on EICT adoption decision-making. More specifically, the study adopted both unstructured and semi-structured interviews with 20 small business managers drawn purposeful from Crunch Database. Findings This study develops an extended technology, organisation and environment framework by incorporating the information context which helped to unravel 16 key success factors influencing small business managers’ information behaviour on EICT. From the technology context, uncertainty driven, compatibility, replacement of legacy technology, relative advantages, lack of technical know-how and perceived affordability fit for purpose influence SME managers’ information behaviour. Users’ acceptance information, efficiency driven, owner’s support shape the organisation context of perceived information need; competitor’s intelligence gathering, customer’s information gathering provider credibility and government policy influence the environmental context of perceived information need; and finally, perceived information sources credibility, herding event, testimonial and openness to other people’s ideas and experiences are shaped by the information context. Research limitations/implications Qualitative research is normally subjective, interpretive and limited on the sample used. Because of the limited number of interviews, the generalisation of the framework and the finding is difficult. Therefore, the finding and the framework need to be established across broader population. The findings are vital considering the fact that small business managers are limited in knowledge and the study may improve the way and manner they go about seeking and gathering information relevant in adopting new ICT. Originality/value This research provides further insight into SME managers’ information behaviour by developing a framework and identifying main factors influencing SMEs information behaviours on EICT. Therefore, understanding such factors will enrich their knowledge on some of the factors that may shape their decisions during EICT adoption decision to make effective decision.

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“…The TOE framework has been used in numerous studies to assess advanced technology adoption such as big data analytics (BDA) adoption (e.g., Maroufkhani et al 2020;Lai, Sun & Ren, 2018), Blockchain Technology (BCT) Adoption (e.g., Kulkarni and Patil, 2020), adoption of cloud-based services (e.g., Narwane et al, 2020;Ali et al, 2020;Chang et al, 2019;Asiaei & Ab. Rahim, 2019), artificial intelligence (AI) adoption (e.g., Chen, 2019), ICT adoption (e.g., Eze et al, 2019;Eze, Olatunji, Chinedu-Eze & Bello, 2018), IT adoption (e.g., Chiu and Yang, 2019) and digital information and technology adoption (e.g., Molinillo & Japutra, 2017). In most of these studies, the analysis of the direct effect of TOE contextual factors on IT adoption is well established.…”