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Unravelling barriers in high-tech technology start-ups: practical insights and solutions for healthcare enterprises

Nidhi Singh, Safiya Mukhtar Alshibani, Pooja Misra, Rabiya Nawaz and Bhumika Gupta ()
Additional contact information
Nidhi Singh: Jaipuria Institute of Management [Noida]
Safiya Mukhtar Alshibani: Princess Nourah Bint Abdulrahman University
Pooja Misra: BIMTECH - Birla Institute of Management Technology
Rabiya Nawaz: UIA - University of Agder
Bhumika Gupta: LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: Purpose - Along with technology-based ecosystems, healthcare start-ups are expanding multi-fold. On the other hand, underlying uncertainties pose several challenges for these health-tech enterprises at macro-meso-micro level, influencing their business circumstances and profitability. The current study aims to comprehend the macro-, meso- and micro-level barriers that make it difficult for enterprises to set up healthcare technology start-ups. The study also observed the perceived effect of these challenges on firms' performance and cost structure over time. Using the theory of behaviour under uncertainty, the study revealed multiple systemic, sector-related, human and implementation barriers that hinder business growth and lead to uncertainties for health-tech start-ups. Design/methodology/approach - Using a grounded theory approach, the study collected the views of 51 health tech start-ups in the UK using an online participants pool. The data was collected using qualitative data techniques in the form of open-ended essays, and a content analysis using thematic coding process was conducted. The questions centered around the different institutional uncertainties or barriers while setting up or running a healthcare start-up. Findings - The study revealed several macro-, meso- and micro-level barriers these technology-based enterprises perceive in the healthcare industry. These are recognised as systemic barriers, such as lack of funding and procedural issues; sector-related barriers, such as market-related impediments; human barriers, including psychological barriers and resistance to new technology; and implementation barriers, such as operational and personnel issues. Research limitations/implications - The study used qualitative, open-ended essay techniques to collect the data. Future studies may use a mixed-methods approach to provide holistic insights. The study is conducted in a single developed country, the UK. Future work may expand these findings by comparing developed market challenges with those of emerging markets and by assessing the viewpoints of healthcare start-ups. Practical implications - This research will assist the healthcare sector and government understand health tech start-up hurdles and uncertainty. Policymakers must assist start-ups and encourage entrepreneurial innovation. Regulating and enabling policies will help. The paper examines start-ups' macro, meso and micro uncertainties. Policymakers promoting sector entrepreneurship must consider these barriers while designing policy guidelines. Originality/value - The study contributes to the existing literature on technology start-ups, particularly in the healthcare industry, and identifies significant barriers these start-ups face. The study synthesizes research on health-tech start-up uncertainty and bridges the gap between theory and practice by applying empirical findings.

Keywords: Macro-meso-micro barriers; Theory of behaviour under uncertainty; Systemic barriers; Health tech start-ups; Sustainable Development Goals (search for similar items in EconPapers)
Date: 2023-10-31
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Citations: View citations in EconPapers (1)

Published in Journal of Enterprise Information Management, 2023, 36 (6), pp.1708-1726. ⟨10.1108/JEIM-06-2023-0318⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04278857

DOI: 10.1108/JEIM-06-2023-0318

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