Assessment of information-driven decision-making in the SME

The use of analytics in decision -making processes is a key element for organizations to be competitive. However, experience indicates that many organizations still have not managed to fully understand how to use properly the available data for diagnosing, improving a nd controlling processes or modelling, predicting and discovering business opportunities. This situation is even more exaggerated among small and medium enterprises (SMEs). An essential first step for SMEs to start using analytics is a correct assessment o f their decision -making processes and use of data. This will help them understanding their current situation, seeing the potential of adopting analytical practices and decide their approach to analytics. Therefore, the assessment we propose is managerial a nd strategic; thus, it is not aimed at detecting problems such as: errors in the data to make an invoice, not having the correct version of a drawing in the shop or a wrong date in a project plan... Undoubtedly, t hese issues are very important but they are not the objective. The results from applying the proposed assessment tool in several pilot SMEs are expected to serve as the basis for improving the tool and developing a maturity model and a roadmap for improving their proficiency in information -driven d ecision -makingPostprint (published version

United Nations Development Assistance Framework for Kenya

The United Nations Development Assistance Framework (2014-2018) for Kenya is an expression of the UN's commitment to support the Kenyan people in their self-articulated development aspirations. This UNDAF has been developed according to the principles of UN Delivering as One (DaO), aimed at ensuring Government ownership, demonstrated through UNDAF's full alignment to Government priorities and planning cycles, as well as internal coherence among UN agencies and programmes operating in Kenya. The UNDAF narrative includes five recommended sections: Introduction and Country Context, UNDAF Results, Resource Estimates, Implementation Arrangements, and Monitoring and Evaluation as well as a Results and Resources Annex. Developed under the leadership of the Government, the UNDAF reflects the efforts of all UN agencies working in Kenya and is shaped by the five UNDG programming principles: Human Rights-based approach, gender equality, environmental sustainability, capacity development, and results based management. The UNDAF working groups have developed a truly broad-based Results Framework, in collaboration with Civil Society, donors and other partners. The UNDAF has four Strategic Results Areas: 1) Transformational Governance encompassing Policy and Institutional Frameworks; Democratic Participation and Human Rights; Devolution and Accountability; and Evidence-based Decision-making, 2) Human Capital Development comprised of Education and Learning; Health, including Water, Sanitation and Hygiene (WASH), Environmental Preservation, Food Availability and Nutrition; Multi-sectoral HIV and AIDS Response; and Social Protection, 3) Inclusive and Sustainable Economic Growth, with Improving the Business Environment; Strengthening Productive Sectors and Trade; and Promoting Job Creation, Skills Development and Improved Working Conditions, and 4) Environmental Sustainability, Land Management and Human Security including Policy and Legal Framework Development; and Peace, Community Security and Resilience. The UNDAF Results Areas are aligned with the three Pillars (Political, Social and Economic) of the Government's Vision 2030 transformational agenda

A Framework to support cloud adoption decision-making by SMEs in Tamil Nadu

Cloud computing is a disruptive technology which represents a paradigm shift in the way computing services are purchased and maintained within organisations. Due to its benefits like low capital, scalability and high reliability, the cloud infrastructure has the features and facilities to speed up Information Technology (IT) adoption in developing countries. However, moving data and applications to a cloud environment is not straightforward and can be very challenging as decision makers need to consider numerous technical and organisational aspects before deciding to adopt cloud infrastructure. There are existing models and framework available to support different stages of the cloud adoption decision making process. However, they are developed for technologically developed countries and there has been very little investigation done to determine whether the factors that affect cloud adoption are any different for a technologically developing country like India. This research aims to provide a framework to aid cloud adoption among SMEs in Tamil Nadu, a southern state of the Indian Union. The major contribution to knowledge is the framework, based on Scientific Decision Making (SDM) which has been developed to support SME decision makers at all the different stages of the cloud adoption decision making process. The theories of technology adoption like Diffusion of Innovation (DOI), Technology, Organisation and Environment (TOE) framework along with Multi Criteria Decision Making (MCDM) forms the theoretical underpinnings of the research. The primary data was collected via two web-based questionnaire surveys among SME decision makers from Tamil Nadu. Six determinants of cloud adoption such relative advantage, compatibility, innovativeness, organisation size, external issues and industry type were identified. The findings identify that 12 organisational factor specific to SME location is a very important decision factor while planning cloud adoption. The proposed cloud adoption decision support framework (CADSF) includes two tools namely; cloud suitability assessment and cloud service identification. The framework provides a preliminary structure for developing a knowledge driven Decision Support System (DSS) to support cloud adoption among SMEs in Tamil Nadu. Finally, based on the findings of the research, it is expected with developments to the existing cloud infrastructure, especially the availability of reliable internet and increased awareness, more SMEs in Tamil Nadu would adopt the cloud computing infrastructure

How can SMEs benefit from big data? Challenges and a path forward

Big data is big news, and large companies in all sectors are making significant advances in their customer relations, product selection and development and consequent profitability through using this valuable commodity. Small and medium enterprises (SMEs) have proved themselves to be slow adopters of the new technology of big data analytics and are in danger of being left behind. In Europe, SMEs are a vital part of the economy, and the challenges they encounter need to be addressed as a matter of urgency. This paper identifies barriers to SME uptake of big data analytics and recognises their complex challenge to all stakeholders, including national and international policy makers, IT, business management and data science communities. The paper proposes a big data maturity model for SMEs as a first step towards an SME roadmap to data analytics. It considers the ‘state-of-the-art’ of IT with respect to usability and usefulness for SMEs and discusses how SMEs can overcome the barriers preventing them from adopting existing solutions. The paper then considers management perspectives and the role of maturity models in enhancing and structuring the adoption of data analytics in an organisation. The history of total quality management is reviewed to inform the core aspects of implanting a new paradigm. The paper concludes with recommendations to help SMEs develop their big data capability and enable them to continue as the engines of European industrial and business success. Copyright © 2016 John Wiley & Sons, Ltd.Peer ReviewedPostprint (author's final draft

On the Frontiers of Finance: Scaling Up Investment in Sustainable Small and Medium Enterprises in Developing Countries

Outlines the economic, social, and environmental benefits of investing in sustainable small and medium enterprises; the lending practices of financial intermediaries; and barriers. Includes case summaries and recommendations for sectoral growth

Estimating an SME investment gap and the contribution of financing frictions. ESRI WP589, March 2018

In this paper, we use firm-level survey data to explore the determinants of SME investment activity and the extent to which observed investment is in line with that suggested by economic fundamentals. In contrast to previous literature which has focused on whether investment gaps exist at a more aggregate level, we find evidence that for SMEs actual investment is below what would be expected given how companies are currently performing. The estimated magnitude of this investment gap is economically meaningful at just over 30 per cent in 2016. We explore the extent to which the gap is explained by financial market challenges such as access to finance, interest rates, and the availability of collateral. Financing frictions are found to account for a moderate share of the overall investment gap (between 10 per cent and 20 per cent of the gap)

SME Access to Finance: An exploration into the demand and supply contraints around SME access to finance

In March 2011, the Newcastle Business School, Northumbria University was commissioned by North East Access to Finance (NEA2F) to undertake a major piece of independent academic research to explore both the demand and supply sides of SME access to finance in the North East of England. The aim of the research was to gain insight and understanding into the challenges faced not only by the SME sector but also by the key suppliers of finance to that community, specifically the banking sector and Business Angels. Thus we do not take a position on what we think is right or what a best practice approach might be but rather reflect, as accurately as possible, the information that was shared with us. The research project commenced in May 2011 and was completed at the end of March 2012

Exploiting Qualitative Information for Decision Support in Scenario Analysis

The development of scenario analysis (SA) to assist decision makers and stakeholders has been growing over the last few years through mainly exploiting qualitative information provided by experts. In this study, we present SA based on the use of qualitative data for strategy planning. We discuss the potential of SA as a decision-support tool, and provide a structured approach for the interpretation of SA data, and an empirical validation of expert evaluations that can help to measure the consistency of the analysis. An application to a specific case study is provided, with reference to the European organic farming business

The role of information alignment and entrepreneurial traits on SME internationalization: a conceptual framework

Purpose – The paper aims to explore the internationalisation decision-making of small- and medium-sized enterprise (SME) owner/managers. Specifically, structural alignment theory (SAT) and regulatory focus theory (RFT) are utilised to examine the concept of opportunity recognition in the context of internationalisation choices. Design/methodology/approach – This paper is conceptual in nature, and an integrative cognitive model of internationalisation choice decisions is developed based on SAT and RFT, underpinned by a critical review of the international entrepreneurship (IE) literature. Findings – Scenarios are identified in which the structure of available information may affect the decision-evaluation process in terms of cognitive resource requirements. Further, the SME owner/manager’s motivational goal orientation is suggested to moderate the role of the information structure in line with IE literature. A conceptual model and propositions are presented. Research limitations/implications – The conceptual model and the propositions arising from the discussion in this paper offer new directions of research to explore SME internationalisation. Originality/value – This paper offers a cognitive perspective of SME internationalisation. This paper offers insights for policymakers, SME owner/managers, practitioners and researchers alike. For internationalisation decisions, this paper highlights the potential impact of the structure of information that is made available to SME owner/managers by industry or policy bodies; further, the moderating influence of motivational goal orientation may inform policy on how information should be presented to SME owner/managers to aid their decision-making.</p

Realigning the manufacturing priorities of SMEs as a result of the 2008 UK economic downturn

This study provides consideration of the impact made by the uncertain business environment experienced in recent times in the UK on manufacturing priorities within its SME sector. This uncertainty centres on the economy’s volatility during the recessionary period from 2008 onwards. A consequence of this is a realignment of manufacturing priorities, initiated by senior management within in the sector, accounting for sectoral conditions and associated market response. The study is based on a mixed methods research strategy, comprising a survey of 104 UK-based manufacturing SMEs and 17 interviewees with senior employees from these participating organisations. The study contributes to existing knowledge by building upon existing theoretical constructs of manufacturing strategy, specific to the manufacturing sector, and establishing a realignment of associated priorities around cost, flexibility, delivery performance and quality