Examining the Draw of Diversity: How Diversity Climate Perceptions Affect Job‐Pursuit Intentions

Organizations must target talented applicants, who will often be demographically diverse, to attract the most competent and competitive workforce possible. Despite the bottom‐line implications of attracting the best and brightest, surprisingly little is known about how and why diversity recruitment strategies affect recruitment outcomes (e.g., job‐pursuit intentions). To gain insight into this question, we conducted an initial experimental study (N = 194) to test the premise that other‐group orientation moderates the relationship between perceived organizational value of diversity and job‐pursuit intentions. In a follow‐up experiment (N = 255), identity affirmation was examined as the mediating mechanism for the interaction observed in the first study. Mediated moderation analyses supported the proposed model. Collectively, the studies indicate that job seekers high in other‐group orientation are more intent on pursuing employment with organizations deemed to value diversity because they feel that their salient identities are likely to be affirmed. No such indirect effect is present for those lower in other‐group orientation.     

Images and writing in tourist brochures

The scope of the paper is to investigate the role of visual and verbal modes in destination image formation, with a focus on the 2009 ‘Malta, Gozo and Comino’ brochure issued by the Malta Tourism Authority. Discussing brochures as pivotal genres within tourism communication [Antelmi, D., Held, G., & Santulli, F. (2007). Pragmatica della comunicazione turistica. Roma: Editori Riuniti; Calvi, M.V. (2010). Los generos discursivos en la lengua del turismo: Una propuesta de clasificaci?n. Iberica, 19, 9–32; Dann, G. (1996a). The language of tourism. A sociolinguistic perspective. Oxford: CAB International; Francesconi, S. (2007). English for tourism promotion: Italy in British tourism texts. Milano: Hoepli], attention will be paid to specific multimodal framing of the ideational, interpersonal and textual functions [Halliday, M.A.K. (1978). Language as social semiotics. London: Edward Arnold; Halliday, M.A.K., & Hasan, R. (1985). Language, context and text: Aspects of language in a social-semiotic perspective. Oxford: Oxford University Press]. First, the visual text will be addressed, through the observation of participants, perspective, frame, social distance, light and colours [Kress, G., & Van Leeuwen, T. (2006). The grammar of visual design (2nd ed.). London: Routledge]. Assumptions will be then checked and the verbal text will be analysed by means of corpus linguistics and the Wordsmith Tools 5.0 software. Particular attention will be devoted to verbal items like pronouns and adjectives shaping of the three core values of heritage, hospitality and diversity, these last identified as the cornerstone of Malta Brand in internal and external campaigns. The multimodal analysis of the brochure will show that both visual and verbal texts promote the core values. More specifically, these are first communicated through the predominant visual text, then described, clarified, expanded and confirmed through the accompanying verbal text.     

THE GOVERNANCE OF KNOWLEDGE COMPOSITENESS AND TECHNOLOGICAL PERFORMANCE: THE CASE OF THE AUTOMOTIVE INDUSTRY IN EUROPE

Abstract

Knowledge compositeness measures the variety of scientific disciplines that it is necessary to command in order to generate new technological knowledge. The paper investigates the relations between the knowledge compositeness of the flow of patents delivered to the main European automobile companies and the evolution of their technological and product market shares. Compositeness confirms to be an important characteristic of private knowledge: its governance exerts strong and positive effects on the technological and competitive advantage of firms. Knowledge compositeness has strong effects on the mechanisms of knowledge governance and management of technology. Appropriate measures of knowledge compositeness make it possible to qualify the quantitative measures of the technological competence of firms based upon patents counts.     

Internal and external factors in innovation persistence

This paper contributes to the analysis of the persistence of innovation activities, as measured by total factor productivity (TFP), and explores its internal and external determinants stressing its path-dependent characteristics. The external conditions, namely the quality of local knowledge pools and the strength of the Schumpeterian rivalry, along with the internal conditions (the actual levels of dynamic capabilities, as proxied by wage levels and firm size) exert a specific and localised effect upon the persistent introduction of innovations. A multiple transition probability matrixes (MTPMs) approach has been implemented to capture the contingent effects of external factors on long-term innovation persistence. The empirical analysis of the dynamics of firm-level TFP for a sample of approximately 7000 Italian manufacturing companies observed during the years 1996–2005 is based on both the comparison of different transition probability matrixes and on dynamic discrete choice panel data models. The evidence provided by the test of MTPMs in sub-periods suggests that innovation persistence is path-dependent, as opposed to past-dependent.     

Complexity and technological change: knowledge interactions and firm level total factor productivity

The analysis of social interactions as drivers of economic dynamics represents a growing field within the economics of complexity. Social interactions are a specific form of interdependence whereby the changes in the behavior of other agents affect utility functions for households and production functions for producers. In this paper, we apply the general concept of social interactions to the area of the economics of innovation and we articulate the view that knowledge interactions play a central role in the generation of new technological knowledge so that innovation becomes the emergent property of a system, rather than the product of individual actions. In particular, we articulate and test the hypothesis that different layers of knowledge interactions play a crucial role in determining the rate of technological change that each firm is able to introduce. The paper presents an empirical analysis of firm level total factor productivity (TFP) for a sample of 7,020 Italian manufacturing companies observed during the years 1996–2005. This will enable us to identify the distinctive role of regional, inter-industrial and localized intra-industrial knowledge interactions as distinctive and significant determinants, together with internal research and innovation efforts, of changes in firm level TFP.     

Socioeconomic Index for Income and Poverty Prediction: A Sufficient Dimension Reduction Approach

The present paper introduces a novel method for the construction of Socioeconomic Status (SES) indices that are specific to a target variable of interest. It is based on the Sufficient Dimension Reduction (SDR) paradigm and uses a factorized model-based approach to simultaneously deal with predictor variables of mixed nature (i.e. quantitative, binary, and ordinal), which are usual in microeconomic data. These SES indices also identify relevant predictor variables using a two-step regularized matrix factorization approach. Using data from household surveys for Argentina (Encuesta Permanente de Hogares-EPH), the proposed method is compared with other existing dimension reduction algorithms such as standard Principal Component Analysis (PCA) and its version for mixed variables, regression on the full set of variables and Least Absolute Shrinkage and Selection Operator regression (LASSO).     

Me or information technology? Adoption of artificial intelligence in the delegation of personal strategic decisions

Artificial intelligence is revolutionizing the way we do business. Whereas both the adoption of technological innovations and strategic decision making have been subject to prior research, this experimental study is first to combine both. To understand the impact of choice complexity and cognitive perceptions on the willingness to delegate a strategic decision to an algorithm, we conducted an experiment with 310 participants. We find that although choice complexity has no effect, participants with low levels of situational awareness are more likely to delegate. The findings augment research on choice complexity in decision making by emphasizing the relevance of cognitive perceptions.     

Inside innovation persistence: New evidence from Italian micro-data

This paper contributes the analysis of the persistence of innovation activities, as measured by different innovation indicators and explores its past and path dependent characteristics. The study provides new insights on the role of R&D investments in innovation persistence and analyses differentiated patterns of persistence across product and process innovation, by accounting for complementarity effects between the two types of innovative behaviour. The empirical analysis is based on a sample of 451 Italian manufacturing companies observed during the years 1998–2006. Results highlight the relevance of innovation persistence. The highest level of persistence is found for R&D-based innovation activities, witnessing the actual presence of significant entry and exit barriers. Moreover, we obtain more robust evidence of persistence for product innovation than for process innovation when complementarity effects between the two types of innovation are accounted for.     

On Some Characteristics of Gaussian Covariance Functions

The concepts of isotropy/anisotropy and separability/non‐separability of a covariance function are strictly related. If a covariance function is separable, it cannot be isotropic or geometrically anisotropic, except for the Gaussian covariance function, which is the only model both separable and isotropic. In this paper, some interesting results concerning the Gaussian covariance model and its properties related to isotropy and separability are given, and moreover, some examples are provided. Finally, a discussion on asymmetric models, with Gaussian marginals, is furnished and the strictly positive definiteness condition is discussed.