“Novel web-based, cloud-storage-mediated, AVODS for characterizing organizational change parameters”

摘要

Human Resource Management (HRM) issues and practices are often critical in determining the success of organizational change. Developmental, transformational and transitional change types are generally influenced by a range of HRM - dependent factors. These factors can be broadly categorized as change effectors, affectors and modulators. This paper presents a novel web-based technique involving knowledge management and cloud storage-based AVODS (Autonomous Virtual Object Data-Stores) for characterizing salient change effectors, affectors and modulators influential in the oil and gas sector, within a Middle-Eastern context. Proactive management of these AVOD-held HR-related parameters decreases change resistance, and increases levels of employee commitment to organizational change and innovation, boosting the likelihood of success of planned change. AVODS naturally enhance the process of knowledge externalization, for change related HRM factors, by offering a dynamic, organic and interactive method for capturing, encoding and visualization HRM-related change effectors, affectors and modulators. We provide examples of web-based AVOD-capture, encoding and visualization of key research findings from a multicompany case study of oil and gas sector organizations in the Gulf region. The change parameters subsumed within AVODS include worker empowerment, autonomy, participation, communication, culture, normative responsibility, training/re-skilling and reward systems.