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The purpose of this study is the synthesis and characterization of a CMYK palette (cyan of Cr-BiVO₄, magenta of Pr-CeO₂, yellow of Bi-(Ce,Zr)O₂ composite and black of YMnO₃) as an eco-friendly polyfunctional palette that combines (a) high near-infrared reflectance (cool pigments) that allows moderate temperatures in indoor environments and the urban heat island effect; (b) photocatalytic activity for the degradation of organic contaminants of emerging concern of substrates in solution (such as Orange II or methylene blue) and gaseous (NO_x and volatile organic compounds such as acetaldehyde or toluene); (c) X-ray radiation attenuators associated with bismuth ions; and (d) biocidal effect combined with co-doping with bactericidal agents.

Pigments were prepared by a solid-state reaction and characterized by X-ray diffraction, diffuse reflectance spectroscopy, photocatalytic activity over Orange II and scanning electron microscopy.

The behaviour of the proposed palette was compared to that of a commercial inkjet palette, and an improvement in all functionalities was observed.

The functionalities of pigments allow the building envelope and indoor walls to exhibit temperature-moderating effects (with the additional effects of moderating global warming and increasing air conditioning efficiency), purification and disinfection of both indoor and outdoor air, and radiation attenuation.

The proposed palette and its polyfunctional characterization are novel.

This paper concentrates on the antecedents of external knowledge acquisition of companies based on their inter-organizational relationships. Specifically, it considers social capital (i.e., the result of a firm’s inter-organizational relationships) as an essential precursor of knowledge identification capabilities and deliberated knowledge acquisition strategies. This study aims to propose that cognitive and relational dimensions of a firm’s inter-organizational social capital are mediating factors of the relationship between structural social capital and knowledge identification capabilities and the relationship between structural social capital and the deliberated acquisition of external knowledge, respectively. The relationship between knowledge identification capability and external knowledge acquisition is also analyzed.

This is a cross-sectional quantitative study with a sample of 87 firms from Spanish biotechnology and pharmaceutical industries. From an extensive literature review, we developed three hypotheses that were tested using the partial least squares technique and structural equations model.

The results only support a mediating effect of cognitive social capital in the relationship between structural social capital and knowledge identification capability and a partial mediation effect of relational social capital in the relationship between structural social capital and knowledge acquisition. In addition, the findings show that firms with more advanced abilities to identify and assess the value of external knowledge will be likely to develop optimal deliberated strategies to acquire effectively such knowledge from its network partners.

The limitations of this study are small sample size and the cross-sectional nature of the study. The study also focuses on only two specific and innovative industries.

Managers should understand that “good” management of inter-organizational social capital allows the firm to develop dynamic capabilities for the identification and acquisition of valuable knowledge. The results of the study show that managers should concentrate on building knowledge identification capabilities and should also be aware of the possibilities that social capital can provide to a firm to formulate and implement effective strategies for external knowledge acquisition.

To date, there are relatively few studies focussing on knowledge identification capability and its relationships with the dimensions of a company’s social capital as enablers of external knowledge acquisition. For managers, the identification of valuable knowledge by using inter-organizational relationships and networks is an essential issue, especially in innovative industries characterized by continuous change. Theoretically, this research highlights that social capital contributes to the development of dynamic capabilities, allowing the firm to sense and seize business opportunities based on external knowledge acquisition to achieve competitive advantages.

The main goal of this paper is to evaluate the players' contribution and economic value in the soccer industry. Media visibility records provide us with comparable metrics to identify talent and make hiring decisions – these records can jointly capture sport (on-field) skills and other attractive (off-field) abilities.

This paper presents a valuation method that applies media visibility appraisals to estimate “theoretical values” of the transfer fees paid for hiring soccer players. The estimations are performed by analysing the evolution over time of the media exposure of about 5,000 individuals of more than 200 clubs.

The study’s empirical results reveal that, along with sport performance, the players' media status also affects their economic valuation, which explains why the clubs – in search of greater economic returns – fiercely compete for the most popular players. The paper also identifies the main factors determining the players' economic value. In predicting the players' transfer fees, some variables are statistically significant: individual media visibility, media visibility share of the player within his team, contract duration, status of the hiring team, years of experience, player's age at the end of the contract and the domestic league of the hiring team.

Professional sports provide reliable measures on individuals' performance that may help in the hiring process of workers. This paper identifies gifted soccer players while taking into account their skills as media leaders and the economic implications. Insofar as players' talents determine their teams' sport and economic achievements, the transfer fees paid for players must then be seen as a crucial factor. Measuring individual talent and being able to translate this talent into productivity levels entail serious methodological and empirical challenges.