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.
Process Mining can roughly be defined as a data-driven approach to process management. The basic idea of process mining is to automatically distill and to visualize business processes using event logs from company IT-systems (e.g. ERP, WMS, CRM etc.) to identify specific areas for improvement at an operational level. An event log can be described as a database entry that signifies a specific action in a software application at a specific time. Simple examples of these actions are customer order entries, scanning an item in a warehouse, and registration of a patient for a hospital check-up.Process mining has gained popularity in the logistics domain in recent years because of three main reasons. Firstly, the logistics IT-systems' large and exponentially growing amounts of event data are being stored and provide detailed information on the history of logistics processes. Secondly, to outperform competitors, most organizations are searching for (new) ways to improve their logistics processes such as reducing costs and lead time. Thirdly, since the 1970s, the power of computers has grown at an astonishing rate. As such, the use of advance algorithms for business purposes, which requires a certain amount of computational power, have become more accessible.Before diving into Process Mining, this course will first discuss some basic concepts, theories, and methods regarding the visualization and improvement of business processes.
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The capacity to deal with digital transformation is a valuable asset for established organizations, and employees play a crucial role in this process. This study contributes to the understanding of employees’ sensemaking of digital transformation in the tour operating industry. Using prior digital transformation research, construal-level theory (CLT), and dynamic change perspectives, our scholarly work focuses on the complexities of organizational change in a digital transformation context. Although employees generally support digital transformation, our findings show that their perceptions change over time across a range of specific challenges experienced during the employee change journey. Our findings stress the importance of adopting a social exchange lens in digital transformation knowledge as this represents deep structure change that might cause well-designed transformation processes to fail. Implications for hospitality and tourism management are discussed.
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