Sensemaking from Actions

This study presents a method to establish empirically what drives organization members in their day-to-day behavior. The method starts from the sense employees make of their own actions. The approach consists of two steps: qualitative laddering interviews to determine the most central means and ends that play a role in the sensemaking of organization members, and a follow-up survey to examine in depth the organizational means-end structure. The method was validated by relating the results to independently observed indicators of what guides organization members in their behavior. Apart from the deeper insight it provides in the forces that drive day-to-day behavior in an organization, the method also provides management with a practical tool for addressing employee motivation and for developing credible communication toward stakeholders.employee motivation;laddering;means-end analysis;organizational action;sensemaking

Sensemaking from Actions

This study presents a method to establish empirically what drives organization members in their day-to-day behavior. The method starts from the sense employees make of their own actions. The approach consists of two steps: qualitative laddering interviews to determine the most central means and ends that play a role in the sensemaking of organization members, and a follow-up survey to examine in depth the organizational means-end structure. The method was validated by relating the results to independently observed indicators of what guides organization members in their behavior. Apart from the deeper insight it provides in the forces that drive day-to-day behavior in an organization, the method also provides management with a practical tool for addressing employee motivation and for developing credible communication toward stakeholders

Valuing stakeholder engagement and sustainability reporting

This conceptual paper sheds light on some of the major intergovernmental benchmarks, guidelines and principles for corporate social responsibility (CSR), corporate governance and sustainability reporting. It reports on several governments’ regulatory roles as their societal governance is intrinsically based on interdependent relationships. There are different actors and drivers who are shaping CSR communications and policies in relational frameworks. This paper mentions some of the countries that have already introduced intelligent substantive and reflexive regulations. It also shows how certain businesses are stepping in with their commitment for sustainability issues as they set their own policies and practices for laudable organisational behaviours. Very often, corporate businesses use non-governmental organisations’ regulatory tools such as process and performance-oriented standards. These regulatory instruments focus on issues such as labour standards, human rights, health and safety, environmental protection, corporate governance and the like. Afterwards, this paper discusses about the relationship between governance and sustainability. It makes reference to some of the relevant European Union Expert Group recommendations for non-financial reporting and CSR audits. Relevant academic contributions are indicating that customers are expecting greater disclosures, accountability and transparency in sustainability reports. This contribution contends that the way forward is to have more proactive governments that raise the profile of CSR. It maintains that CSR communications and stakeholder engagement may bring shared value to business and society. Ultimately, it is in the businesses’ interest to implement corporate sustainability and responsibility and to forge fruitful relationships with key stakeholders, including the regulatory ones, in order to address societal, environmental, governance and economic deficits.peer-reviewe

New Radar Interferometric Time Series Analysis Toolbox Released

Interferometric synthetic aperture radar (InSAR) has become an important geodetic tool for measuring deformation of Earth’s surface due to various geophysical phenomena, including slip on earthquake faults, subsurface migration of magma, slow‐moving landslides, movement of shallow crustal fluids (e.g., water and oil), and glacier flow. Airborne and spaceborne synthetic aperture radar (SAR) instruments transmit microwaves toward Earth’s surface and detect the returning reflected waves. The phase of the returned wave depends on the distance between the satellite and the surface, but it is also altered by atmospheric and other effects. InSAR provides measurements of surface deformation by combining amplitude and phase information from two SAR images of the same location taken at different times to create an interferogram. Several existing open‐source analysis tools [Rosen et al., 2004; Rosen et al., 2011; Kampes et al., 2003 ; Sandwell et al., 2011] enable scientists to exploit observations from radar satellites acquired at two different epochs to produce a surface displacement map

Boolean network model predicts cell cycle sequence of fission yeast

A Boolean network model of the cell-cycle regulatory network of fission yeast (Schizosaccharomyces Pombe) is constructed solely on the basis of the known biochemical interaction topology. Simulating the model in the computer, faithfully reproduces the known sequence of regulatory activity patterns along the cell cycle of the living cell. Contrary to existing differential equation models, no parameters enter the model except the structure of the regulatory circuitry. The dynamical properties of the model indicate that the biological dynamical sequence is robustly implemented in the regulatory network, with the biological stationary state G1 corresponding to the dominant attractor in state space, and with the biological regulatory sequence being a strongly attractive trajectory. Comparing the fission yeast cell-cycle model to a similar model of the corresponding network in S. cerevisiae, a remarkable difference in circuitry, as well as dynamics is observed. While the latter operates in a strongly damped mode, driven by external excitation, the S. pombe network represents an auto-excited system with external damping.Comment: 10 pages, 3 figure