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This paper engages multidisciplinary perspectives on truth, authority, expertise and belief to unpack and better understand the underlying epistemology and implications of the ACRL Frame “authority is constructed and contextual.”

Following an overview of the issues confronting us in a “post-truth world,” the paper reviews critiques of the ACRL Frame “authority is constructed and contextual” and examines the related concepts of truth, authority, expertise and belief from multidisciplinary perspectives.

While the Frame acknowledges the limitations and biases of current scholarly publishing and implicitly supports social justice, it runs the danger of promoting relativism and is ambiguous regarding the relationships between expertise and authority. The critical concepts of truth and belief are conspicuously absent. Engaging a critical discussion and understanding of these concepts is a valuable contribution to information literacy.

This paper offers an important and accessible analysis of the frame “authority is constructed and contextual” and its underlying concepts. It moves beyond the library literature to include multidisciplinary perspectives and will require the engagement of the wider library community to promote discussion of the underlying epistemology and links between the construction of authority and truth, expertise and belief. In particular, the discussion of the construction of belief and the difference between judgments of fact and judgments of value offers important additions to the library literature.

The purpose of this paper is to investigate the relationship between religious beliefs and socially responsible investment in the Indian agricultural industry.

Owners of small agribusiness firms from India were interviewed regarding their perceptions of religious beliefs and socially responsible investment in the agricultural industry.

The survey indicates that while religious beliefs and internal financing sources increase perceived socially responsible investment, the higher cost of debt capital decreases perceived socially responsible investment in the Indian agricultural industry. The higher level of internal financing sources, however, decreases the perceived cost of debt capital which may increase socially responsible investment in the Indian agricultural industry.

This is a co-relational study that investigated the association between religious beliefs and socially responsible investment. There is not necessarily a causal relationship between the two. The findings of this study may only be generalized to firms similar to those that were included in this research.

This study contributes to the literature on the factors that increase socially responsible investment in the agricultural industry. The study also provides critical policy recommendations to minimize managerial implications. The findings may be useful for financial managers, agribusiness owners (farmers), investors, agribusiness management consultants, and other stakeholders.

The purpose of this paper is to focus on the relationship between corruption and productive entrepreneurship in general and whether it depends on countries’ specific characteristics in particular.

The authors used a unique data set of entrepreneurial activity within 176 countries, collected from the professional networking site LinkedIn. The authors used OLS regression to estimate the level of entrepreneurship. The main independent variable was the CPI score (Transparency International). In addition, two sub-samples were used, 70 less-developed countries and 34 OECD countries, and numerous control variables.

The paper makes three important contributions to the field. First, it proposes worldwide empirical evidence that countries with high levels of corruption usually face low levels of productive entrepreneurship. Second, the paper suggests that the negative effect is much more significant in developed countries than in developing countries. Third, the paper explores whether the negative effect of corruption depends on country-specific economic characteristics.

While there is significant value in using LinkedIn data in entrepreneurship research, there are limitations to this database. Therefore, significant robustness tests were employed and further research, for instance using longitudinal LinkedIn data, could be valuable. Moreover, using different entrepreneurs’ data sets might increase the validation of the results. Finally, further examination of the influence of corruption on different types of entrepreneurial activities and their interaction with different characteristics of the country is still required.

The results stress the need to fight corruption not only in developing countries and suggests significant gains from anti-corruption efforts even and maybe especially in the western developed world.

One important characteristic of cryptocurrencies has been their high and erratic volatility. To represent this complicated behavior, recent studies have emphasized the use of autoregressive models frequently concluding that generalized autoregressive conditional heteroskedasticity (GARCH) models are the most adequate to overcome the limitations of conventional standard deviation estimates. Some studies have expanded this approach including jumps into the modeling. Following this line of research, and extending previous research, our study analyzes the volatility of Bitcoin employing and comparing some symmetric and asymmetric GARCH model extensions (threshold ARCH (TARCH), exponential GARCH (EGARCH), asymmetric power ARCH (APARCH), component GARCH (CGARCH), and asymmetric component GARCH (ACGARCH)), under two distributions (normal and generalized error). Additionally, because linear GARCH models can produce biased results if the series exhibit structural changes, once the conditional volatility has been modeled, we identify the best fitting GARCH model applying a Markov switching model to test whether Bitcoin volatility evolves according to two different regimes: high volatility and low volatility. The period of study includes daily series from July 16, 2010 (the earliest date available) to January 24, 2019. Findings reveal that EGARCH model under generalized error distribution provides the best fit to model Bitcoin conditional volatility. According to the Markov switching autoregressive (MS-AR) Bitcoin’s conditional volatility displays two regimes: high volatility and low volatility.

The purpose of this paper is to describe the mediating effects of transformational and transactional leadership styles on the relationship between organizational ethics and workplace incivility.

The study employed cross-sectional survey design. Data were obtained from 209 employees from the telecommunication sector. The structural equation model was employed as the analytical tool to test the hypotheses of the study.

Organizational ethics was negatively related to workplace incivility. Both transformational and transactional leadership styles mediated the relationship between organizational ethics and workplace incivility.

Human resource developers and managers can employ, appraise, train and develop managers who can ethically demonstrate transactional, and transformational leadership behaviors to deal with workplace incivilities.

The paper makes an important contribution to the existing organizational literature by establishing the relevance of transformational and transactional leadership styles as mediators of the nexus between organizational ethics and workplace incivility in the telecommunication sector.

The purpose of this study is to assess the impact of corporate entrepreneurship. To this end, the learning process of the individual in skills, competencies and agile methodologies is considered, as well as the influence of corporate culture, ways of working and organizational capabilities in small and medium enterprises (SMEs).

This study was performed by means of an email survey questionnaire, conducted on 241 SMEs in Madrid and Guadalajara (Spain). The hypotheses were tested with structural equation modeling (SEM).

The results yielded a positive and direct link between the organization and the training of business leaders in programs of skills and competencies, as well as between this training and corporate entrepreneurship processes carried out in the organization. However, there is an indirect relationship between organizational activity and processes of the organization and intrapreneurship activities.

The research provides a practical contribution to the SME perspective and raises awareness of the importance of intrapreneurial activities for business development. Hence, it becomes relevant to focus on training plans that have a direct impact on the development of business innovations that lead to corporate entrepreneurship.

This research contributes to contextualize and enrich the literature on corporate entrepreneurship by addressing the gap related to corporate culture, innovation and skills, through a model that shows the relationship between the variables.

The pandemic has enhanced the global phenomenon of disinformation. This paper aims to study the false news concerning COVID-19, spread through social media in Spain, by using the LatamChequea database for a duration from 01/22/2020, when the first false information has been detected, up to 03/09/2021.

A quantitative analysis has been conducted with regard to the correlation between fake news stories and the pandemic state, the motive to share them, their dissemination in other countries and the effectiveness of fact checking. This study is complemented by a qualitative method: a focus group conducted with representatives of different groups within the society.

Fake news has been primarily disseminated through several social networks at the same time, with two peaks taking place in over a half of the said false stories. The first took place from March to April of 2020 during complete lockdown, and we were informed of prevention measures, the country’s situation and the origin of the virus, whereas the second was related to news revolving around the coming vaccines, which occurred between October and November. The audience tends to neither cross-check the information received nor report fake news to competent authorities, and fact-checking methods fail to stop their spread. Further awareness and digital literacy campaigns are thus required in addition to more involvement from governments and technological platforms.

The main limitation of the research is the fact that it was only possible to conduct a focus group of five individuals who do not belong to generation Z due to the restrictions imposed by the pandemic, although a clear contribution to the analysis of the impact of fake news on social networks during the COVID-19 pandemic in Spain can be seen from the privileged experiences in each of the fields of work that were identified. In this sense, the results of the study are not generalizable to a larger population. On the other hand, and with a view to future research, it would be advisable to carry out a more specific study of how fake news affects generation Z.

This research is original in nature, and the findings of this study are valuable for business practitioners and scholars, brand marketers, social media platform owners, opinion leaders and policymakers.