In textual modeling, models are created through an intermediate parsing step which maps textual representations to abstract model structures. Therefore, the identify of elements is not stable across different versions of the same model. Existing model differencing algorithms, therefore, cannot be applied directly because they need to identify model elements across versions. In this paper we present Textual Model Diff (tmdiff), a technique to support model differencing for textual languages. tmdiff requires origin tracking during text-to-model mapping to trace model elements back to the symbolic names that define them in the textual representation. Based on textual alignment of those names, tmdiff can then determine which elements are the same across revisions, and which are added or removed. As a result, tmdiff brings the benefits of model differencing to textual languages.
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Purpose – To analyse common metaphors used in the intellectual capital (IC) and knowledge management literatures to conceptualise knowledge, in order to study the nature of the intellectual capital concept. Design/methodology/approach – A textual analysis methodology is used to analyse texts from The Knowledge-Creating Company by Nonaka and Takeuchi, Working Knowledge by Davenport and Prusak and “Brainpower” by Stewart, in order to identify underlying metaphors. Findings – Over 95 per cent of the statements about knowledge identified are based on some kind of metaphor. The two dominant metaphors that form the basis for the concept of intellectual capital are “knowledge as a resource” and “knowledge as capital”. Research limitations/implications – Metaphors highlight certain characteristics and ignore others, so the IC community should ask itself what characteristics of knowledge the “knowledge as a resource” and “knowledge as capital” metaphors ignore. Practical implications – Knowledge has no referent in the real world and requires metaphor to be defined, conceptualised, and acted upon. When using such metaphors we should become aware of their limitations as they steer us in certain directions and this may happen unconsciously. The paper concludes by asking whether we need new metaphors to better understand the mechanisms of the knowledge economy, hence allowing us to potentially change some of the more negative structural features of contemporary society. Originality/value – This paper is the first to highlight that intellectual capital is a metaphor and that the metaphorical nature of the concept has far reaching consequences.
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Metaphors are at the basis of our understanding of reality. Using the theory of metaphor developed by Lakoff and Johnson (1980, 1999) this paper analyses common metaphors used in the intellectual capital and knowledge management literatures. An analysis of key works by Davenport & Prusak (2000), Nonaka & Takeuchi (1995), and Stewart (1991) suggests that at least 95 percent of all statements about either knowledge or intellectual capital are based on metaphors. The paper analyses the two metaphors that form the basis for the concept of intellectual capital: ‘Knowledge as a Resource’ and ‘Knowledge as Capital’, both of which derive their foundations from the industrial age. The paper goes into some of the implications of these findings for the theory and practice of intellectual capital. Common metaphors used in conceptualising abstract phenomena in traditional management practices unconsciously reinforce the established social order. The paper concludes by asking whether we need new metaphors to better understand the mechanisms of the knowledge economy, hence allowing us to potentially change some of the more negative structural features of contemporary society.
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Live programming is a style of development characterized by incremental change and immediate feedback. Instead of long edit-compile cycles, developers modify a running program by changing its source code, receiving immediate feedback as it instantly adapts in response. In this paper, we propose an approach to bridge the gap between running programs and textual domain-specific languages (DSLs). The first step of our approach consists of applying a novel model differencing algorithm, tmdiff, to the textual DSL code. By leveraging ordinary text differencing and origin tracking, tmdiff produces deltas defined in terms of the metamodel of a language. In the second step of our approach, the model deltas are applied at run time to update a running system, without having to restart it. Since the model deltas are derived from the static source code of the program, they are unaware of any run-time state maintained during model execution. We therefore propose a generic, dynamic patch architecture, rmpatch, which can be customized to cater for domain-specific state migration. We illustrate rmpatch in a case study of a live programming environment for a simple DSL implemented in Rascal for simultaneously defining and executing state machines.
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The sharing economy holds promise for the way we consume, work, and interact. However, consuming in the sharing economy is not without risk, as institutional trust measures (e.g. contracts, regulations, guarantees) are often absent. Trust between sellers and buyers is therefore crucial to complete transactions successfully. From a buyer ́s perspective, a seller ́s profile is an important source of information for judging trustworthiness, because it contains multiple trust cues such as a reputation score, a profile picture, and a textual self-description. The effect of a seller’s self-description on perceived trustworthiness is still poorly understood. We examine how the linguistic features of a seller’s self-description predict perceived trustworthiness. To determine the perceived trustworthiness of 259 profiles, 189 real buyers on a Dutch sharing platform rated their trustworthiness. The results show that profiles were perceived as more trustworthy if they contained more words (which could be an indicator of uncertainty reduction), more words related to cooking (indicator of expertise), and more words related to positive emotions (indicator of enthusiasm). Also, a profile’s perceived trustworthiness score correlated positively with the seller’s actual sales performance. These findings indicate that a seller’s self-description is a relevant signal to buyers, eventhough it is cheap talk (i.e. easy to produce). The results can guide sellers on how to self-present themselves on sharing platforms and inform platform owners on how to design their platform so that it enhances trust between platform users.
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The moment of casting is a crucial one in any media production. Casting the ‘right’ person shapes the narrative as much as the way in which the final product might be received by critics and audiences. For this article, casting—as the moment in which gender is hypervisible in its complex intersectional entanglement with class, race and sexuality—will be our gateway to exploring the dynamics of discussion of gender conventions and how we, as feminist scholars, might manoeuvre. To do so, we will test and triangulate three different forms of ethnographically inspired inquiry: 1) ‘collaborative autoethnography,’ to discuss male-to-female gender-bending comedies from the 1980s and 1990s, 2) ‘netnography’ of online discussions about the (potential) recasting of gendered legacy roles from Doctor Who to Mary Poppins, and 3) textual media analysis of content focusing on the casting of cisgender actors for transgender roles. Exploring the affordances and challenges of these three methods underlines the duty of care that is essential to feminist audience research. Moving across personal and anonymous, ‘real’ and ‘virtual,’ popular and professional discussion highlights how gender has been used and continues to be instrumentalised in lived audience experience and in audience research.
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Metaphor is one of the important discursive themes in organizational literature (Grant et al.,2001). Metaphors play an important role in the discourse within organizations as well as in theorizing about organizations. This empirical paper focuses on the latter by analysing the role of metaphor in the development of theoretical concepts – in particular the concept of social capital – through the means of quantitative content analysis. Some authors argue that metaphors should be avoided in organizational theory (Bourgeois and Pinder, 1983; Tinker, 1986). Others see metaphors as valuable creative tools for developing new theories and insights (Weick, 1989). Morgan (1997) has shown that many theories about organizations can be ‘reordered’ (Keenoy et al., 2003) into a particular metaphorical view of organizations, showing the metaphorical bases of organizational theorizing. Lakoff and Johnson (1980, 1999) go even further, presenting compelling evidence from cognitive science indicating that metaphors are inescapable because they are the basis for our abstract reasoning. There is a debate about the way metaphor works (Black, 1993; Cornelissen, 2005; Heracleous, 2003; Keenoy et al., 2003; Lakoff and Johnson, 1999; Marshak, 2003; Oswick et al. 2002, 2003; Tsoukas, 1991;) especially about whether metaphor is simply a matter of comparison highlighting the analogies in the source and target domain, or whether a metaphor does more then that. In the paper we take the latter position and adopt Lakoff and Johnson’s (1999) model of cross-domain mapping. This model states that not only similarities and features are transferred from the source to the target domain but that the target domain often gets its structure from the source domain. The metaphorical mapping from the source to the target domain can be rich and complex because metaphors have many ‘entailments’. Entailments are the connotations of the metaphor that transport meaning from the source to the target domain. Furthermore, the application of conceptual metaphor often happens out-of-awareness (Lakoff and Johnson, 1999; Marshak, 2003). It is part of the unconscious mental operations concerned with conceptual systems, meaning, inference, and language. We can recognize the unconscious use of metaphor in organizational theorizing by looking at the literal meaning of organizational concepts and statements (Andriessen, 2006).
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In May 2007, our Centre for Research in Intellectual Capital hosted the International Congress on Intellectual Capital: The future of business navigation. The Congress – which took place in Haarlem, The Netherlands – was attended by more than 140 participants from 23 countries. Based on almost 70 papers, we designed a conference program that consisted of more than 90 sessions. This special issue is based on a selection of the best papers of our conference.
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Many studies report changes taking place in the field of higher education, changes which present considerable challenges to educational practice. Educational science should contribute to developing design guidance, enabling practitioners to respond to these challenges. Design patterns, as a form of design guidance, show potential since they promise to facilitate the design process and provide common ground for communication. However, the potential of patterns has not been fully exploited yet. We have proposed the introduction of a task conceptualization as an abstract view of the concept chosen as central: the task. The choice of the constituting elements of the task conceptualization has established an analytical perspective for analysis and (re)design of (e)learning environments. One of the constituting elements is that of ‘boundary objects’, which has added a focus on objects facilitating the coordination, alignment and integration of collaborative activities. The presented task conceptualization is deliberately generic in nature, to ease the portability between schools of thought and make it suitable for a wide target audience. The conceptualization and the accompanying graphical and textual representations have shown much promise in supporting the process of analysis and (re)design and add innovative insights to the domain of facilitating the creation of design patterns.
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SUMMARY Architecture compliance checking (ACC) is an approach to verify conformance of implemented program code to high-level models of architec tural design. Static ACC focuses on the modular software architecture and on the existence of rule violating dependencies between modules. Accurate tool support is essential for effective and efficient ACC. This paper presents a study on the accuracy of ACC tools regarding dependency analysis and violation reporting. Ten tools were tested and compare d by means of a custom-made benchmark. The Java code of the benchmark testware contains 34 different types of dependencies, which are based on an inventory of dependency types in object oriented program code. In a second test, the code of open source system FreeMind was used to compare the 10 tools on the number of reported rule violating dependencies and the exactness of the dependency and violation messages. On the average, 77% of the dependencies in our custom-made test software were reported, while 72% of the dependencies within a module of FreeMind were reported. The results show that all tools in the test could improve the accuracy of the reported dependencies and violations, though large differences between the 10 tools were observed. We have identified10 hard-to-detect types of dependencies and four challenges in dependency detection. The relevance of our findings is substantiated by means of a frequency analysis of the hard-to-detect types of dependencies in five open source systems. DOI: 10.1002/spe.2421
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