5 resultados para OCC
em Aston University Research Archive
Resumo:
This special issue brings together a variety of articles, each one enriching understanding about whether and how human resource management (HRM) influences organizational performance (however defined) against a backdrop of complex change. We present a preliminary framework that enables us to integrate the diverse themes explored in the special issue, proposing a mediating role for organizational change capacity (OCC). OCC represents a particular subset within the resource-based literature labeled as “dynamic capabilities.” Although not well researched, there is evidence that OCC is positively associated with firm performance and that this relationship is stronger given conditions of high uncertainty. Our framework reflects on external and internal parameters, which we suggest moderate the relationship between human resource management (HRM), OCC, and organizational performance. Our intention is to provide compelling insight for both practitioners and researchers, especially those whose remit extends beyond national boundaries, with reference to areas of the globe as disparate as Greece, Ireland, Pakistan, Switzerland, and the United Kingdom. © 2012 Wiley Periodicals, Inc.
Resumo:
Online communities of consumption (OCCs) represent highly diverse groups of consumers whose interests are not always aligned. Social control in OCCs aims to effectively manage problems arising from this heterogeneity. Extant literature on social control in OCCs is fragmented as some studies focus on the principles of social control, while others focus on the implementation. Moreover, the domain is undertheorized. This article integrates the disparate literature on social control in OCCs providing a first unified conceptualization of the topic. The authors conceptualize social control as a system, or configuration, of moderation practices. Moderation practices are executed during interactions operating under different governance structures (market, hierarchy, and clan) and serving different purposes (interaction initiation, maintenance, and termination). From this conceptualization, important areas of future research emerge and research questions are developed. The framework also serves as a community management tool for OCC managers, enabling the diagnosis of social control problems and the elaboration of strategies and tactics to address them.
Resumo:
Conflicts are very common in Online Consumption Communities (OCC) and numerous expressions have developed to describe them. Prior research indicates contradictory effects on community resources, namely social capital and culture. One stream finds that online conflict dissolves social capital and community culture (cf. De Valck 2007) while another stream finds it enhances them (cf. Ewing, Wagstaff, and Power 2013). Therefore, the effect of OCC conflict on community resources is unclear. In this paper, we (1) investigate conflict in OCC to develop a typology, and (2) delineate how each type of OCC conflict impacts community resources. This research contributes to our understanding of OCC conflicts and to the literature on value formation in OCC.
Resumo:
Most research in the area of emotion detection in written text focused on detecting explicit expressions of emotions in text. In this paper, we present a rule-based pipeline approach for detecting implicit emotions in written text without emotion-bearing words based on the OCC Model. We have evaluated our approach on three different datasets with five emotion categories. Our results show that the proposed approach outperforms the lexicon matching method consistently across all the three datasets by a large margin of 17–30% in F-measure and gives competitive performance compared to a supervised classifier. In particular, when dealing with formal text which follows grammatical rules strictly, our approach gives an average F-measure of 82.7% on “Happy”, “Angry-Disgust” and “Sad”, even outperforming the supervised baseline by nearly 17% in F-measure. Our preliminary results show the feasibility of the approach for the task of implicit emotion detection in written text.
Resumo:
Nowadays, with the use of social media generalizing, increasingly more people gather online to share their passion for specific consumption activities. Despite this shared passion, conflicts frequently erupt in online communities of consumption (OCC). A systematic review of the literature revealed that a lot of knowledge has developed on OCC conflict. Different types of conflicts unfolding in an OCC context have been distinguished, various drivers of conflict identified and various consequences outlined at the individual level (experiential value) and the community level (collective engagement and community culture). However the specificity of conflicts unfolding in an OCC context has not been conceptualized. Past research is also inconclusive as to where and when does OCC conflict create or destroy value in communities. This research provides a theory of OCC conflict and its impact on value formation by conceptualizing OCC conflict as performances. The theory was developed by conducting a netnography of a clubbing forum. Close to 20,000 forum posts and 250 pages of interview transcript and field notes were collected over 27 months and analysed following the principles of grounded theory. Four different types of conflict performances are distinguished (personal, played, reality show and trolling conflict) based on the clarity of the performance. Each type of conflict performance is positioned with regard to its roots and consequences for value formation. This research develops knowledge on disharmonious interactions in OCCs contributing to the development of a less utopian perspective of OCCs. It indicates how conflict is not only a byproduct of consumption but it is also a phenomenon consumed. It also introduces the concept of performance clarity to the literature on performance consumption. This research provides guidelines to community managers on how to manage conflict and raises ethical issues regarding the management of conflict on social media.