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Big data and analytics make digital communications more effective, but little is known about how institutional pressures shape data-driven communications. These pressures determine and constrain how, what, when and to whom practitioners should communicate. This empirical study explores how institutional forces influence the use of data in guiding digital communications. The paper identifies factors that impact communications and shape practitioner views on particular tools in their day-to-day work.

This study uses a qualitative exploratory approach with in-depth interviews of 15 Australian communication practitioners through the lens of neo-institutional theory. Thematic analysis was applied to identify three main themes.

Communications professionals disclosed how they were influenced by coercive institutional forces such as ambiguous data privacy regulations, normative forces that shaped ethical concerns, professionalism and various challenges, and mimetic forces that determined shared methods and implementation of digital communications technologies such as analytics. Furthermore, the authors reveal how analytics – tools typically associated with uncertainty and mimetic influences – exert coercive pressures that could lead to misguided decision-making.

This study’s findings highlight the need for practitioners to learn more about the inner workings of analytics tools and for managers to determine if the perceived benefits of these solutions outweigh any undesirable effects.

The study contributes to extant research on digitalization in strategic communication by providing new insights into practitioner views and challenges with digital communications technologies.

Despite the considerable effects of institutional pressures, this study is the first to explore the impacts of data-driven communications at the level of individual practitioners. The paper advances neo-institutional theory in public relations (PR), strategic communication and corporate communications at the micro level.

This paper empirically explores the role of skill losses during unemployment behind firms' behaviour in interviewing long-term unemployed

The analysis makes use of the Work Employment Relations Survey in the UK, while it applies a panel probit modelling approach to estimate the empirical findings.

The findings document that skill losses during long-term unemployment reduce the likelihood of an interview, while they emphasize the need for certain policies that could compensate for this deterioration of skills. For robustness check, the estimation strategy survives the examination of the same predictors under different types of the working environment.

The original values of the work 1 combines for the first time both duration and technology as predictors of interview probability. Until now, the independent variables were used to test whether an individual has managed to exit unemployment, thus skipping the step of the interview process.

This paper aims to analyse, the issue concerning the quality of inward foreign direct investments (FDI) by empirically investigating the role of four sustainability determinants of FDI, namely, economic, environmental, social and governance using data from 22 developing countries of the Asian region over a period from 2000–2016.

The methodology adopted to achieve this purpose is dynamic panel estimation (two-step difference generalised method of moments) by developing three econometric models. The data is sourced from the World Development, Worldwide Governance Indicators, International Telecommunication Union and the United Nations Conference on Trade and Development.

The econometric results indicate that, in general, control of corruption, political stability and electricity consumption influence sustainable FDI favourably; and CO₂ emissions lower the extent of sustainable FDI. The result underlines deficiencies in the information technology aspect, which has a non-significant yet positive relationship with sustainable FDI. A pertinent finding of this study is that the past value of FDI inflows increases the current year’s FDI inflows in developing countries.

The findings related to gender and information technology aspects found in this paper will be of interest to both researchers and policymakers for substantially reorienting the sustainability attributes to foreign investment.

The authors’ main contributions are to encapsulate the conceptual framework into an empirical model by combining all the four dimensions, namely, environmental, economic, social and governance for developing countries.

While extant literature explores the influence of institutions on the national innovation system (NIS), most research has either focused on specific institutional aspects or treated institutions as a unified entity. This study aims to examine the effect of various institutional factors on a country’s NIS.

The conceptual model was empirically validated using regression analysis. The study sample comprised a total of 84 countries.

This study identifies and empirically validates a comprehensive set of institutional factors. It also highlights the significant institutional factors (including political stability, government effectiveness, ease of resolving insolvency and the rule of law) that can help improve a country’s NIS.

The research provides practical implications for organizations and policymakers seeking to understand and foster an innovative culture within the NIS. Policymakers are encouraged to develop a nurturing environment within the NIS by focusing on significant institutional factors. Organizations are encouraged to closely monitor developments in the NIS of a country to make informed strategic decisions at the business, corporate and international levels.