The complexity of Information Technology (IT) is increasing; so are customer expectations. Consequently it is not easy for especially small and medium enterprises (SMEs) to keep track of all IT-developments, let alone leverage them in business operations with the aim to satisfy increasingly demanding customers. This also holds for the health care sector. This research is focussed on first line health care, and deals with the following research question; ‘which IT capabilities do SMEs within the first line health care sector need to have at their disposal in order to reach Business/IT-Alignment (BITA) maturity?’ Using the best practices ITIL, ASL and BiSL (cf. Bon, et al. 2007), IT capabilities are formulated. Based on the theory of Luftman (2000) business/IT-alignment and maturity is measured. Quantitative research of 123 first line health care SMEs in the Netherlands, confirms a moderate to strong correlation between the IT capability constructs ‘Organisation’, ‘Processes’, ‘Knowledge’ and ‘People’ on the one hand, and BITA maturity on the other. The results indicate that SMEs within the first line health care sector should invest in IT capabilities related to the enterprise's ‘Organisation’ and ‘Processes’ to strive for increased business and IT maturity.
In this research we examine the relationship between IT capability and digital transformation as well as the influence of digital leadership. A theoretical framework was developed to explain the effect of digital leadership. Subsequently this was tested using a survey of 127 respondents from firms across Western Europe. Consistent with our proposed model, this study finds that both IT capability and e-leadership positively influence digital transformation. However, there is mediating effect of e-leadership on the relation between IT capabilities and digital transformation.
Aligning business and IT strategy is a prominent area of concern. Organizations that successfully align their business strategy and their IT strategy, outperform their non-aligned peers (Chan et al., 1997). This chapter explores the relationship between business strategy, IT strategy and alignment capability. We found that each business strategy can be supported by all IT strategies, but that certain combinations provide a better fit than others. Regarding business strategy and alignment capability we found no conclusive relationship. Regarding the relationship between IT strategy and alignment capability however a clear relationship appeared. We explored this relationship further in a dual case study of two organizations having distinctly different IT strategies. One organization sees IT as an enabler for the business processes with mainly an internal impact, whereas the other organization IT sees as a driver for business innovation that can create competitive advantage in the market place. Based upon an assessment of their alignment capabilities we found that the company with the innovative IT strategy scored a distinctly higher alignment capability than the company with the essential IT strategy. Although this conclusion may not be surprising, it provides further evidence for the statement that a more progressive IT strategy pairs with a better alignment of business and IT.
The focus of this project is on improving the resilience of hospitality Small and Medium Enterprises (SMEs) by enabling them to take advantage of digitalization tools and data analytics in particular. Hospitality SMEs play an important role in their local community but are vulnerable to shifts in demand. Due to a lack of resources (time, finance, and sometimes knowledge), they do not have sufficient access to data analytics tools that are typically available to larger organizations. The purpose of this project is therefore to develop a prototype infrastructure or ecosystem showcasing how Dutch hospitality SMEs can develop their data analytic capability in such a way that they increase their resilience to shifts in demand. The one year exploration period will be used to assess the feasibility of such an infrastructure and will address technological aspects (e.g. kind of technological platform), process aspects (e.g. prerequisites for collaboration such as confidentiality and safety of data), knowledge aspects (e.g. what knowledge of data analytics do SMEs need and through what medium), and organizational aspects (what kind of cooperation form is necessary and how should it be financed).
Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to collect, manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. Participants in the interviews that we organized preparing this proposal indicated a need for guidance on how to develop DAC within their organization given their unique context (e.g. age and experience of the workforce, presence of legacy systems, high daily workload, lack of knowledge of digitalization). While a lot of attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC. From a structure perspective, the objective of the KIEM proposal will be to explore and solidify the partnership between Breda University of Applied Sciences (BUas), Avans University of Applied Sciences (Avans), Logistics Community Brabant (LCB), van Berkel Logistics BV, Smink Group BV, and iValueImprovement BV. This partnership will be used to develop the preliminary roadmap and pre-test it using action methodology. The action research protocol and preliminary roadmap thereby developed in this KIEM project will form the basis for a subsequent RAAK proposal.
Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. While extensive attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC.
