841 resultados para Cognitive Change Process


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Few organizational change studies identify the aspects of change that are salient to individuals and that influence well-being. The authors identified three distinct change characteristics: the frequency, impact and planning of change. R. S. Lazarus and S. Folkman's (1984) cognitive phenomenological model of stress and coping was used to propose ways that these change characteristics influence individuals' appraisal of the uncertainty associated with change, and, ultimately, job satisfaction and turnover intentions. Results of a repeated cross-sectional study that collected individuals' perceptions of change one month prior to employee attitudes in consecutive years indicated that while the three change perceptions were moderately to strongly intercorrelated, the change perceptions displayed differential relationships with outcomes. Discussion focuses on the importance of systematically considering individuals' subjective experience of change.

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Business environments have become exceedingly dynamic and competitive in recent times. This dynamism is manifested in the form of changing process requirements and time constraints. Workflow technology is currently one of the most promising fields of research in business process automation. However, workflow systems to date do not provide the flexibility necessary to support the dynamic nature of business processes. In this paper we primarily discuss the issues and challenges related to managing change and time in workflows representing dynamic business processes. We also present an analysis of workflow modifications and provide feasibility considerations for the automation of this process.

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Business Process Management (BPM) is widely seen as the top priority in organizations wanting to survive competitive markets. However, the current academic research agenda does not seem to map with industry demands. In this paper, we address the need to identify the actual issues that organizations face in their efforts to manage business processes. To that end, we report a number of critical issues identified by industry in what we consider to be the first steps towards an industry-driven research agenda for the BPM area. The reported issues are derived from a series of focus groups conducted with Australian organizations. The findings point to, among others, a need for more consolidated efforts in the areas of business process governance, systematic change management, developing BPM methodologies, and introducing appropriate performance measures.

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Affective learning, the acquisition of likes and dislikes, was investigated in two experiments using verbal ratings and affective priming as indices of affective change. In both experiments, neutral geometric shapes were paired with pleasant or unpleasant pictures in a picture-picture conditioning procedure to acquire positive and negative valence. Experiment 1 found the acquisition of positive valence; however, this valence change was lost after extinction training. Experiment 2 used more salient pictures as unconditioned stimuli. Positive and negative valence was acquired during paired presentations and retained across extinction training. The results of Experiment 2 are consistent with dual process accounts, which claim that evaluative conditioning is distinct from Pavlovian conditioning because it is resistant to extinction.

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Most modern models of personality are hierarchical, perhaps as a result of their development by means of exploratory factor analysis. Based on new ideas about the structure of personality and how it divides into biologically based and sociocognitively based components (as proposed by Carver, Cloninger, EUiot and Thrash, and ReveUe), I develop a series of rules that show how scales of personality may be linked from those that are most distal to those which are most proximal. I use SEM to confirm the proposed structure in scales of the Temperament Character Inventory (TCI) and the Eysenck Personality Profiler. Good fit is achieved and all proposed paths are significant. The model is then used to predict work performance, deviance and job satisfacdon.

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The current paper presents a qualitadve study of the role of different sources of communicadon in reducing change-related uncertaintj' experienced by employees during organisadonal change. The paper examines the role of trust in influencing how employees' appraise informadon from different sources within organisadons. Interviews with 19 employees from a range of organisadons idendfy the different types of change-related uncertaindes experienced during change. In addidon, the different sources of communicadon utilised by employees are idendfied and the role each source plays in reducing the different t}'pes of uncertaint}' invesdgated. From employee responses it is evident that t)'pically supervisors are the best source of change informadon, while communicadon from senior management usually focuses on strategic issues. Employees indicate that communicadon with coworkers operates as a support mechanism providing an avenue to share grievances arising from the change. Finally, trust is idendfied as playing an important role in influencing who employees go to for informadon when experiencing uncertainty'. ImpUcadons for change management research in addidon to pracdcal implicadons are discussed.

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This work of thesis wants to present a dissertation of the wide range of modern dense matching algorithms, which are spreading in different application and research fields, with a particular attention to the innovative “Semi-Global” matching techniques. The choice of develop a semi-global numerical code was justified by the need of getting insight on the variables and strategies that affect the algorithm performances with the primary objective of maximizing the method accuracy and efficiency, and the results level of completeness. The dissertation will consist in the metrological characterization of the proprietary implementation of the semi-global matching algorithm, evaluating the influence of several matching variables and functions implemented in the process and comparing the accuracy and completeness of different results (digital surface models, disparity maps and 2D displacement fields) obtained using our code and other commercial and open-source matching programs in a wide variety of application fields.

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Academic and practitioner interest in how market-based organizations can drive positive social change (PSC) is steadily growing. This paper helps to recast how organizations relate to society. It integrates research on projects stimulating PSC – the transformational processes to advance societal well-being – which is fragmented across different streams of research in management and related disciplines. Focusing on the mechanisms at play in how organizations and their projects affect change in targets outside of organizational boundaries, we 1) clarify the nature of PSC as a process, 2) develop an integrative framework that specifies two distinct PSC strategies, 3) take stock of and offer a categorization scheme for change mechanisms and enabling organizational practices, and 4) outline opportunities for future research. Our conceptual framework differentiates between surface- and deep-level PSC strategies understood as distinct combinations of change mechanisms and enabling organizational practices. These strategies differ in the nature and speed of transformation experienced by the targets of change projects and the resulting quality (pervasiveness and durability), timing, and reach of social impact. Our findings provide a solid base for integrating and advancing knowledge across the largely disparate streams of management research on Corporate Social Responsibility, Social Entrepreneurship, and Base of the Pyramid, and open up important new avenues for future research on organizing for PSC and on unpacking PSC processes.

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As we enter the 21st Century, technologies originally developed for defense purposes such as computers and satellite communications appear to have become a driving force behind economic growth in the United States. Paradoxically, almost all previous econometric models suggest that the largely defense-oriented federal industrial R&D funding that helped create these technologies had no discernible effect on U.S. industrial productivity growth. This paper addresses this paradox by stressing that defense procurement as well as federal R&D expenditures were targeted to a few narrowly defined manufacturing sub-sectors that produced high tech weaponry. Analysis employing data from the NBER Manufacturing Productivity Database and the BEA' s Input Output tables then demonstrates that defense procurement policies did have significant effects on the productivity performance of disaggregated manufacturing industries because of a process of procurement-driven technological change.