Many organizations have undergone substantial reorganization in the last decade. They re-engineered their business processes and exchanged proprietary, not integrated applications for more standard solutions. Integration of structured data in relational databases has improved documentation of business transactions and increased data quality. But almost 90% of the information that organizations manage is unstructured, cannot easily be integrated into a traditional database. When used for organizational actions and transactions, structured and unstructured information are records. They are meant and used as evidence. Governments, courts and other stakeholders are making increasing demands for the trustworthiness of records. An analysis of literature of the information, organization and archival sciences illustrates that accountability needs the reconstruction of the past. Hypothesis of this paper is that for the reconstruction of the past each organization needs a combination of threemechanisms: enterprise records management, organizational memory and records auditing. Enterprise records management ensures that records meet the quality requirements needed for accountability: integrity, authenticity, controllability and historicity. They ensure records that can be trusted and enhance the possibilities for the reconstruction of the past. The organizational memory ensures that trusted records are preserved for as long as is necessary to comply with accountability regulations. It provides an ICT infrastructure to (indefinitely) store those records and to keep them accessible. Records auditing researches the first two mentioned mechanisms to assess the possibility to reconstruct past organizational actions and transactions. These mechanisms ensure that organizations have a documented understanding of [1] the processing of actions and transactions within business processes; [2] the dissemination of trusted records; [3] the way the organization accounts for the actions and transactions within its business processes; and [4] the reconstruction of actions and transactions from business processes over time. This understanding is crucial for the reconstruction of the past and for organizational accountability.
MULTIFILE
In large organizations, innovation activities often take place in separate departments, centers, or studios. These departments aim to produce prototypes of solutions to the problems of operational business owners. However, too often these concepts remain in the prototype stage: they are never implemented and fall into what is popularly termed the Valley of Death. A design approach to innovation is presented as a solution to the problem. However, practice shows that teams that use design nevertheless encounter implementation challenges due to the larger infrastructure of the organization they are part of. This research aims to explore which organizational factors contribute to the Valley of Death during design innovation. An embedded multiple case study at a large heritage airline is applied. Four projects are analyzed to identify implementation challenges. A thematic data analysis reveals organizational design, departmental silos, and dissimilar innovation strategies contribute to the formation of, and encounters with, the Valley of Death. Arising resource-assignment challenges that result from these factors are also identified. Materialization, user-centeredness, and holistic problem framing are identified as design practices that mitigate encounters with the Valley of Death, thus leading to projects being fully realized. https://doi.org/10.1111/dmj.12052 LinkedIn: https://www.linkedin.com/in/christine-de-lille-8039372/
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This paper essentially presents an exploration of the relationship between organizational culture and information systems management. Three contributions are offered namely the findings of a study of the organizational culture and information management competencies of five organizations in the Netherlands, with particular reference to the reliability of the measurements tool that was used, as well as an exploratory study of the relationship between organizational culture and the ability of an organization to manage its information systems. A brief review of the literature reveals that these two concepts in combination have been studied extensively, but that their conceptualization are somewhat fragmented in nature. In an effort to study the relationship using a more inclusive frame of reference the paper then presents a description of two models that were used the foundation for the design of a measurement tool to investigate the topic. The results provides a description of the general culture and information systems management abilities of the organizations and also suggest that the measurement tool is indeed reliable. Further analysis reveals that several variables from within each of the two main concepts, organizational culture and information systems management, are correlated.
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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).
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).Societal issueIn the Netherlands, hospitality SMEs such as hotels play an important role in local communities, providing employment opportunities, supporting financially or otherwise local social activities and sports teams (Panteia, 2023). Nevertheless, due to their high fixed cost / low variable business model, hospitality SMEs are vulnerable to shifts in consumer demand (Kokkinou, Mitas, et al., 2023; Koninklijke Horeca Nederland, 2023). This risk could be partially mitigated by using data analytics, to gain visibility over demand, and make data-driven decisions regarding allocation of marketing resources, pricing, procurement, etc…. However, this requires investments in technology, processes, and training that are oftentimes (financially) inaccessible to these small SMEs.Benefit for societyThe proposed study touches upon several key enabling technologies First, key enabling technology participation and co-creation lies at the center of this proposal. The premise is that regional hospitality SMEs can achieve more by combining their knowledge and resources. The proposed project therefore aims to give diverse stakeholders the means and opportunity to collaborate, learn from each other, and work together on a prototype collaboration. The proposed study thereby also contributes to developing knowledge with and for entrepreneurs and to digitalization of the tourism and hospitality sector.Collaborative partnersHZ University of Applied Sciences, Hotel Hulst, Hotel/Restaurant de Belgische Loodsensociëteit, Hotel Zilt, DM Hotels, Hotel Charley's, Juyo Analytics, Impuls Zeeland.
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.
