Despite its widespread occurrence, the topic of failure is barely addressed in entrepreneurship education. Consequently, students are given an incomplete and unrealistic picture of the complexity of being entrepreneurs. This study explores the pedagogical potential of introducing vicarious learning about failure in educational programs rather than focusing solely on starting, growing and success. Taking a qualitative approach, this study examined students’ reflective reports written after an interview with an entrepreneur on their experience of failure. Using concepts emerging from these reports and theoretical constructs, it was established whether and how students drew lessons and reflections from the failure stories. The findings show that interviewing and reflecting about the experiences of entrepreneurs allow for vicarious learning from failure, yet without students having to experience it themselves. The lessons learned and the reflections feed each other in a continuous loop. Students recognized that entrepreneurship involves trial and error instead of one straight road. Important lessons include the importance of adaptable behavior, access to key resources, insights in business development and the benefits of networking. Hence, this article contributes to the pedagogy of entrepreneurial education and provides initial suggestions for educators to introduce vicarious learning about failure as a topic in their programs.--Malgré sa fréquence élevée, le sujet de l’échec est à peine abordé dans l’enseignement de l’entrepreneuriat. En conséquence, il est communiqué aux étudiants une image incomplète et irréaliste de la complexité d’être un entrepreneur. Cette étude explore le potentiel pédagogique de l’apprentissage par procuration sur l’échec dans les programmes éducatifs, plutôt qu’une focalisation seulement sur le démarrage, la croissance et la réussite. En adoptant une approche qualitative, l’étude a examiné les rapports de réflexions rédigés par les étudiants à la suite d’un entretien avec un entrepreneur, centré sur son expérience de l’échec. À l’aide de concepts émergeant de ces rapports et de constructions théoriques, la manière dont les étudiants tiraient des leçons et des réflexions des récits d’échec – si tel était le cas - a été établie. Les résultats montrent que les entretiens et la réflexion sur l’expérience des entrepreneurs permettent un apprentissage par procuration concernant l’échec, sans pour autant que les étudiants aient eux-mêmes à vivre un échec. Les leçons apprises et les réflexions se nourrissent mutuellement dans une boucle continue. Les étudiants ont reconnu que l’entrepreneuriat a pour implication des épreuves et des erreurs, plutôt qu’une ligne toute droite. Parmi les leçons apprises majeures, citons l’importance des comportements adaptatifs, l’accès aux ressources-clés, les connaissances en matière de développement commercial et les avantages du travail en réseau. Ainsi, cet article contribue à la pédagogie de l’éducation sur l’entrepreneuriat et fait des suggestions pour les enseignants afin qu’ils introduisent l’apprentissage par procuration sur l’échec en tant que sujet à aborder dans leurs programmes.
The external expectations of organizational accountability force organizational leaders to find solutions and answers in organizational (and information) governance to assuage the feelings of doubt and unease about the behaviour of the organization and its employees that continuously seem to be expressed in the organizational environment. Organizational leaders have to align the interests of their share– and stakeholders in finding a balance between performance and accountability, individual and collective ethical approaches, and business ethics based on compliance, based on integrity, or both. They have to integrate accountability in organizational governance based on a strategy that defines boundaries for rules and routines. They need to define authority structures and find ways to control the behaviour of their employees, without being very restrictive and coercive. They have to implement accountability structures in organizational interactions that are extremely complex, nonlinear, and dynamic, in which (mostly informal) relational networks of employees traverse formal structures. Formal processes, rules, and regulations, used for control and compliance, cannot handle such environments, continuously in ‘social flux’, unpredictable, unstable, and (largely) unmanageable. It is a challenging task that asks exceptional management skills from organizational leaders. The external expectations of accountability cannot be neglected, even if it is not always clear what is exactly meant with that concept. Why is this (very old) concept still of importance for modern organizations?In this book, organizational governance, information governance, and accountability are the core subjects, just like the relationship between them. A framework is presented of twelve manifestations of organizational accountability the every organization had to deal with. An approach is introduced for strategically govern organizational accountability with three components: behaviour, accountability, and external assessments. The core propositions in this book are that without paying strategic attention to the behaviour of employees and managers and to information governance and management, it will be extremely difficult for organizational leaders to find a balance between the two objectives of organizational governance: performance and accountability.
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 the past decades, we have faced an increase in the digitization, digitalization, and digital transformation of our work and daily life. Breakthroughs of digital technologies in fields such as artificial intelligence, telecommunications, and data science bring solutions for large societal questions but also pose a new challenge: how to equip our (future)workforce with the necessary digital skills, knowledge, and mindset to respond to and drive digital transformation?Developing and supporting our human capital is paramount and failure to do so may leave us behind on individual (digital divide), organizational (economic disadvantages), and societal level (failure in addressing grand societal challenges). Digital transformation necessitates continuous learning approaches and scaffolding of interdisciplinary collaboration and innovation practices that match complex real-world problems. Research and industry have advocated for setting up learning communities as a space in which (future) professionals of different backgrounds can work, learn, and innovate together. However, insights into how and under which circumstances learning communities contribute to accelerated learning and innovation for digital transformation are lacking. In this project, we will study 13 existing and developing learning communities that work on challenges related to digital transformation to understand their working mechanisms. We will develop a wide variety of methods and tools to support learning communities and integrate these in a Learning Communities Incubator. These insights, methods and tools will result in more effective learning communities that will eventually (a) increase the potential of human capital to innovate and (b) accelerate the innovation for digital transformation
The demand for mobile agents in industrial environments to perform various tasks is growing tremendously in recent years. However, changing environments, security considerations and robustness against failure are major persistent challenges autonomous agents have to face when operating alongside other mobile agents. Currently, such problems remain largely unsolved. Collaborative multi-platform Cyber- Physical-Systems (CPSs) in which different agents flexibly contribute with their relative equipment and capabilities forming a symbiotic network solving multiple objectives simultaneously are highly desirable. Our proposed SMART-AGENTS platform will enable flexibility and modularity providing multi-objective solutions, demonstrated in two industrial domains: logistics (cycle-counting in warehouses) and agriculture (pest and disease identification in greenhouses). Aerial vehicles are limited in their computational power due to weight limitations but offer large mobility to provide access to otherwise unreachable places and an “eagle eye” to inform about terrain, obstacles by taking pictures and videos. Specialized autonomous agents carrying optical sensors will enable disease classification and product recognition improving green- and warehouse productivity. Newly developed micro-electromechanical systems (MEMS) sensor arrays will create 3D flow-based images of surroundings even in dark and hazy conditions contributing to the multi-sensor system, including cameras, wireless signatures and magnetic field information shared among the symbiotic fleet. Integration of mobile systems, such as smart phones, which are not explicitly controlled, will provide valuable information about human as well as equipment movement in the environment by generating data from relative positioning sensors, such as wireless and magnetic signatures. Newly developed algorithms will enable robust autonomous navigation and control of the fleet in dynamic environments incorporating the multi-sensor data generated by the variety of mobile actors. The proposed SMART-AGENTS platform will use real-time 5G communication and edge computing providing new organizational structures to cope with scalability and integration of multiple devices/agents. It will enable a symbiosis of the complementary CPSs using a combination of equipment yielding efficiency and versatility of operation.
