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This research explores two interconnected questions: (1) How do we approach stylistic features of multimodal rhetorical artifacts such as protest posters? (2) Do said artifacts designed for different purposes exhibit systematic stylistic differences? Drawing on Charles Sanders Peirce’s semiotic categorization, this study develops a framework for examining concision, one of the primary stylistic considerations for multimodal rhetorical artifacts such as protest posters. This paper illustrates the use of this framework by exploring the correlation between rhetorical purpose and concision in posters created and disseminated before and during the 2011–2012 Québécois student movement. This study fine-tunes our existing knowledge on multimodality with style sensitivity, and demonstrates how an economy-of-sign based semiotic approach could enrich the empirical examination of multimodal rhetorical artifacts by generating more controlled interpretations.

The purpose of this paper is to examine how upstream social marketing can benefit from using social media commentary to identify cognitive biases. Using reactions to leading media/news publications/articles related to climate and energy policy in Australia, this paper aims to understand underlying community cognitive biases and their reasonings.

Social listening was used to gather community commentary about climate and energy policy in Australia. This allowed the coding of natural language data to determine underlying cognitive biases inherent in the community. In all, 2,700 Facebook comments were collected from 27 news articles dated between January 2018 and March 2020 using exportcomments.com. Team coding was used to ensure consistency in interpretation.

Nine key cognitive bias were noted, including, pessimism, just-world, confirmation, optimum, curse of knowledge, Dunning–Kruger, self-serving, concision and converge biases. Additionally, the authors report on the interactive nature of these biases. Right-leaning audiences are perceived to be willfully uninformed and motivated by self-interest; centric audiences want solutions based on common-sense for the common good; and left-leaning supporters of progressive climate change policy are typically pessimistic about the future of climate and energy policy in Australia. Impacts of powerful media organization shaping biases are also explored.

Through a greater understanding of the types of cognitive biases, policy-makers are able to better design and execute influential upstream social marketing campaigns.

The study demonstrates that observing cognitive biases through social listening can assist upstream social marketing understand community biases and underlying reasonings towards climate and energy policy.

In this editorial for a double volume on “Multimodality, Meaning, and Institutions” in Research in the Sociology of Organizations, we aim to achieve three objectives: first, we provide a set of guiding ideas about what a multimodal prism entails for the study of meaning and institutions; second, we give an overview of the topics, concepts, and methods covered in this volume and briefly introduce the central contributions and insights of each article; third, we outline a number of open questions and fruitful avenues for a future research agenda at the intersection of organization studies, institutional theory, and multimodality research.

Much has been written about quality in manufacturing environments, less has been written about quality in service environments, and little, if anything, has been written about quality in the specific computer systems development environment. Explores quality in such an environment. Identifies three major undefined issues which hinder the progress of quality in computer systems development: a definition of quality and quality management within a computer‐oriented service environment; agreement on a scope for computer systems that is subject to quality management; and a definition of a methodology which can be used to measure quality within a computer environment. Aims to explore these three issues, offer recommendations for resolving the issues and suggest methods and tools for the measurement and control of computer systems development quality. In this regard, identifies 13 key factors for measuring systems development quality, but also acknowledges that additional key factors might be identified by others and added to this listing. Also identifies the various basic quality metrics, both attributes and variables, which can be applied to each of the 13 key factors in order to assure that the final computer system, as developed, will be a “quality” computer system encompassing all of the end‐user’s requirements, wants and needs. Presents various methods and tools for the measurement and control of the 13 key factors to assure the quality development of a computer system.

The purpose of this paper is to support the management of organizational knowledge retention through a multi-criteria decision aiding–constructivist model.

This exploratory and descriptive case study presents a decision support model guided by the constructivist approach and proactive in its operationalization.

The objectives and concerns of decision-makers regarding the retention of organizational knowledge are identified and organized into six strategic areas of concern, namely, recognition, knowledge dissemination, organizational culture, succession of professionals, management of vulnerability origins and knowledge management; a multi-criteria model is constructed and operationalized by a cluster of cardinal scales, showing and measuring the status quo of the performance profile, both in a local and global way, to support the management of the organization's knowledge retention; activities are classified into three performance levels (compromising, competitive and excellent), supported by graphical and numerical evidence; and the process to generate actions to improve the performance of critical activities and create the conditions to maximize the results of the organization is illustrated.

Based on the model, decision-makers are now aware of the essential aspects to support knowledge retention management, enabling them to monitor the current situation and proactively respond to ensure that the current knowledge potential is maintained and exploited.

Use of a constructivist approach to support the management of knowledge retention, incorporating into the model the specifics of the context and the values of its managers, and thus giving it legitimacy.

With the progress of new technologies of information and communication, more and more producers of data exist. On the other hand, the web forms a huge support of all these kinds of data. Unfortunately, existing data is not proper due to the existence of the same information in different sources, as well as erroneous and incomplete data. The aim of data integration systems is to offer to a user a unique interface to query a number of sources. A key challenge of such systems is to deal with conflicting information from the same source or from different sources. We present, in this paper, the resolution of conflict at the instance level into two stages: references reconciliation and data fusion. The reference reconciliation methods seek to decide if two data descriptions are references to the same entity in reality. We define the principles of reconciliation method then we distinguish the methods of reference reconciliation, first on how to use the descriptions of references, then the way to acquire knowledge. We finish this section by discussing some current data reconciliation issues that are the subject of current research. Data fusion in turn, has the objective to merge duplicates into a single representation while resolving conflicts between the data. We define first the conflicts classification, the strategies for dealing with conflicts and the implementing conflict management strategies. We present then, the relational operators and data fusion techniques. Likewise, we finish this section by discussing some current data fusion issues that are the subject of current research.

The purpose of this paper is to present an annotated bibliography of the new poetry volumes from the Poet's House 2008 Poetry Showcase.

The titles were selected from the Poet's House 2008 Poetry Showcase as titles that are both challenging and accessible.

This list provides the librarian and reader with a guide to collection development in poetry.

This is one of the few lists of its kind showcasing contemporary poetry.

This paper aims to argue that Economics is not a neutral science.

Post-structuralist perspective of Lyotard (1984), alongside the Pragmatics of Searle (1979) and Travis (1981) are useful for analyzing enunciations in mainstream Economics.

Economists use illocutionary acts expressed in formal language to achieve perlocutionary effects. Because of the importance attached to objectivity in mainstream Economics, the use of artificial languages is preferred to natural language. However, formal language is preferred regarding its perlocutionary effects on economists' community.

This paper puts together the Continental and the Analytical Philosophy and show, in an original manner, how their intersections and how they can be useful to better understand the epistemology of Economics.