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This study aims to investigate the possibilities of cryptocurrencies as hedges and diversifiers in the Indian stock market before and during financial crisis due to the pandemic and the Russia–Ukraine war.

Researchers have used daily data on cryptocurrencies and Indian stock prices from March 10, 2015 to August 26, 2022. The researchers have used the dynamic conditional correlations (DCC)-GARCH model to determine the volatility spillover and dynamic correlation between stocks and digital currencies. Further, researchers have explored hedge ratio, portfolio weight and hedging effectiveness using the estimates of the DCC-GARCH model.

The findings indicate a negative conditional correlation between equities and cryptocurrencies before the crisis and a positive conditional correlation except for Tether during the crisis. Which implies that cryptocurrencies serve as a hedging asset in the stock market before a crisis but are not more than a diversifier during the crisis, except for Tether. Notably, Tether serves as a safe haven during times of crisis. Finally, the study suggests that Bitcoin, Ethereum, Binance Coin and Ripple are the most effective diversifiers for Indian stocks during the crisis.

This study makes several contributions to the existing literature. First, it compares the hedge and diversification roles of cryptocurrencies in the Indian stock market before and during crisis. Second, the study findings provide insights on risk hedging and can serve as a guide for investors. Third, it may help rational investors avoid underestimating risk while constructing portfolios, particularly in times of financial turmoil.

Business model innovations (BMIs), their drivers and outcomes are attracting increasing attention in academic literature. However, previous studies have mainly focused on large companies, while knowledge of BMI in small-to-medium-sized enterprises (SMEs) is limited. Therefore, the purpose of this paper is to add new insights into how related BMI drivers, practices and outcomes are in relation to SMEs.

An extensive review of the existing literature was performed. Consequently, the relationships between BMI drivers, BMI practices and outcomes of BMI were developed as a conceptual framework. An empirical study was carried out. A structural equation modeling (SEM) procedure was used to empirically test the model using a quantitative data set of Lithuanian SMEs (n=73).

The study provides insights into the relations between BMI drivers, BMI practices and outcomes of BMI in SMEs. The findings of SEM, four drivers (innovation activities, strategic orientation, market and technology turbulence, respectively) are indicated to contribute to BMI of SMEs. In addition, the results proved that the implementation of BMI practices leads to strategic and architectural changes in firms and has a positive impact on SMEs performance and innovativeness.

Empirical research is focused on a limited number of internal and external BMI drivers, which have an influence on BMI in SMEs from one geographical region. Consequently, there are many external and internal BMI drivers which also may have an influence on BMI in SMEs, such as industry life cycle, organizational inertia and leadership. Meanwhile, SMEs possess multiple characteristics, i.e. a phase of maturity, gender of CEO, firm size and industry; therefore, the aforesaid aspects are considered to be significant limitations. In addition, the importance of SMEs characteristics as mediators for the effects on a firm’s performance and innovativeness should be considered in future research avenues.

Findings of this research can be used by SME managers to better understand how firms might actively engage in BMI practices, what drivers lead to BMI and, in turn, affect their firm’s performance and innovativeness. SME managers should be encouraged to pay attention to strategic and architectural changes of BM that can contribute to enterprise performance and innovativeness.

This paper adds to the stream of BMI research by empirically exploring drivers and outcomes of BMI in SMEs. In addition, this paper fulfills research gaps proposed by Bouwman et al. (2018), Foss and Saebi (2017), Heikkilä, Bouwman and Heikkilä (2018) and Lambert and Davidson (2013), and enhances the current overall understanding of BMIs.

The purpose of this paper is to suggest two main objectives: to analyze if the size of the company is determined by the use of external legal and human resources (HR) advice; and to analyze if the size of the family business is determined by the use of these two same types of external advice.

The assessment is developed (2,013 firms, the Spanish industrial sector) by using descriptive statistics to compare the features of the different types of firms in the sample: family and non-family ones. This is completed with a test of equality of means and using econometric models.

Regarding legal advice, results show that as far as legal matters are concerned, when family businesses make greater use of this type of advice, they are smaller. This is a remarkable and interesting result because it differs from non-family firms, in which the use of this type of advice is positively related with size. Regarding the use of HR advice, while it remains significant in general cases with a positive result, this is not the same for family firms.

The use of advising in family firms is seldom dealt with in the literature, despite its helpfulness for family firm managers. There is gap in this field and a great deal of interesting research remains to be developed, because the authors consider that factors determining the use of advice in family and non-family firms are different.

El presente documento propone dos objetivos principales: (1) analizar si el tamaño de la empresa está relacionado con el uso de asesoramiento externo tanto jurídico como de recursos humanos. (2) examinar si para el caso de la empresa familiar su tamaño está relacionado por el uso de estos dos mismos tipos de asesoramiento externo.

El análisis se desarrolló (2.013 empresas, el sector industrial español) utilizando técnicas de la estadística descriptiva para comparar las características de los diferentes tipos de empresas de la muestra: familiares y no familiares queridos. Esto se completa con una prueba de la igualdad de medios y el uso de modelos econométricos.

En cuanto a asesoramiento jurídico, los resultados muestran que, en lo que se refiere a asuntos legales, las empresas familiares hacen un mayor uso de este tipo de consejos a medida que son más pequeñas. Este es un resultado notable e interesante, ya que se diferencia de las no familiares, en las que el uso de este tipo de asesoramiento se relaciona positivamente con el tamaño. Respecto al uso de asesoramiento de recursos humanos, mientras que sigue siendo significativa en los casos generales con un resultado positivo, este no es el mismo para las empresas familiares.

El uso de asesoramiento en las empresas familiares rara vez se aborda en la literatura, a pesar de su utilidad para los directivos de este tipo de empresas. Hay un vacío en este campo y una gran cantidad de investigación interesante que queda por desarrollar, teniendo en cuenta sobre todo, que los factores que determinan el uso de asesoramiento en las empresas familiares y no familiares no son los mismos.

Metaphor is an important concept for clean language interviewers. This chapter describes what metaphor is and overviews the experimental research showing the potential for metaphor to influence interviewees. It expands on the brief introduction to metaphor in Chapter 1 and describes the role clean language can play by enabling interviewees' metaphors to be elicited, explored and modelled without the influence of the interviewer's metaphors. It justifies the value of a heightened awareness of the ubiquity and variety of metaphors and their involvement in the different phases of qualitative research; and builds an argument for how a clean language interviewing approach to metaphor can enrich the research process.

The Civil Aviation Authority has published the third edition of Aeronautical Engineering Certificate: Syl‐labus of Examinations (CAP 416)

The utilisation of emerging technologies for the inspection of bridges has remarkably increased. In particular, non-destructive testing (NDT) technologies are deemed a potential alternative for costly, labour-intensive, subjective and unsafe conventional bridge inspection regimes. This paper aims to develop a framework to overcome conventional inspection regimes' limitations by deploying multiple NDT technologies to carry out digital visual inspections of masonry railway bridges.

This research adopts an exploratory case study approach, and the empirical data is collected through exploratory workshops, interviews and document reviews. The framework is implemented and refined in five masonry bridges as part of the UK railway infrastructure. Four NDT technologies, namely, terrestrial laser scanner, infrared thermography, 360-degree imaging and unmanned aerial vehicles, are used in this study.

A digitally enhanced visual inspection framework is developed by using complementary optical methods. Compared to the conventional inspection regimes, the new approach requires fewer subjective interpretations due to the additional qualitative and quantitative analysis. Also, it is safer and needs fewer operators on site, as the actual inspection can be carried out remotely.

This research is a step towards digitalising the inspection of bridges, and it is of particular interest to transport agencies and bridge inspectors and can potentially result in revolutionising the bridge inspection regimes and guidelines.

A BODY known as the Local Government Personnel and Management Services Group has been moved to issue a short paper commenting on the Bains Report issued by the Bains Committee to which the Group submitted evidence.