Readiness for change is seen as an important prerequisite increasing chances for change success. While assessing the readiness level allows for tailoring of the interventions and the change process, it requires time and planning. When organizations face increasing levels of unpredictability and need to adapt to fast environmental shifts, linear causal models to plan and implement changes become harder to follow. Emergent changes also barely accommodate planning and assessing readiness levels. Multiple and overlapping change initiatives become the norm rather than an exception, thus exert additional pressure on organizations hoping to start with assessing and developing readiness. Applying dynamic capabilities lens allows addressing such challenges through the concept of organizational capacity for change. This article reviews theoretical and empirical research advances to answer two questions. First, how do readiness and organizational capacity for change differ? A review of theoretical assumptions, dimensions and antecedents is employed to delineate the two constructs. Second, what is the relationship between the two constructs? The analysis is guided by an organizational change typology to highlight their applicability to selected types of change. The research concludes that capacity for change differs and can complement readiness in helping organizations navigate unpredictable environments.
This study aimed to develop a methodology for governance model implementation and transition for a collaborative networked organisation in the cyber domain by establishing effective stakeholder management and customer satisfaction assessment program. The article summarises the findings, describing the identified services for governance consulting and presenting the developed proprietary tools in the phase of transition and stakeholder management. The relation between the theoretical model for governance model change management, required tools, and implementation as a service support the exploitation strategy of the ECHO Governance Consulting Services asset. It provides an example of designing the processes and business model for the functional service group for governance consulting and potential federation with other network assets. Special attention is paid to stakeholder management for the success of the service provision.
Technology entrepreneurship involves the creation of a new business whose products and services are based on the application of scientific or technological knowledge. Technology entrepreneurship may play an important role for economic development in the context of increasing globalization. Little research attention has been devoted to the antecedents of the feasibility of technology entrepreneurship. The objective of this study is to identify university determinants of the feasibility of technology entrepreneurship among students enrolled in majors in the fields of science, technology, engineering and mathematics (STEM) in Bulgarian universities. The study uses a sample of 879 university students in STEM majors and applies a binary logistic regression to identify university factors related to the high feasibility of technology entrepreneurship. The results of the present study indicate that university support for entrepreneurship, industry ties and research excellence are related to the feasibility of technology entrepreneurship among Bulgarian STEM students. The empirical findings can help to devise policies and measures for enhancing the feasibility of technology entrepreneurship among STEM students.
Earth Observation (EO) is used to monitor and assess the status of, and changes in, the natural and manmade environment via remote sensing technologies, usually involving satellites carrying imaging devices. EO applications provide important inputs to governments in planning, implementing, and monitoring the progress of the 2030 Agenda for Sustainable Development. Along with other countries, Bulgaria has committed to all 17 Sustainable Development Goals (SDGs) and reflected them in its strategic documents. EO is one of the priority technologies for the development of the Bulgarian space sector. This paper analyzes how EO data could significantly help Bulgarian authorities in achieving and monitoring the progress of the SDG targets based on three specific EO monitoring pilot projects’ results (showcases) focused more on the policy management approach than scientific achievement. The first project showed the opportunities of EO data for integration of a national (local) geospatial database with the existing international networks for monitoring natural disasters and accidents. The second demonstrated the time series usage of EO data for water quality monitoring. The third project integrated remote sensing data from EO and in situ measurements with ancillaries’ data to provide phenology status and crop production forecast in a common geospatial database with the aim to support the Bulgarian agriculture sector modernization.
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