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This study analyzes the performance implications of adopting blockchain to support supply chain business processes. The technology holds as many promises as implementation challenges, so interest in its impact on operational performance has grown steadily over the last few years.

Drawing on transaction cost economics and the contingency theory, we built a set of hypotheses. These were tested through a long-term event study and an ordinary least squares regression involving 130 adopters listed in North America.

Compared with the control sample, adopters displayed significant abnormal performance in terms of labor productivity, operating cycle and profitability, whereas sales appeared unaffected. Firms in regulated settings and closer to the end customer showed more positive effects. Neither industry-level competition nor the early involvement of a project partner emerged as relevant contextual factors.

This research presents the first extensive analysis of operational performance based on objective measures. In contrast to previous studies and theoretical predictions, the results indicate that blockchain adoption is not associated with sales improvement. This can be explained considering that secure data storage and sharing do not guarantee the factual credibility of recorded data, which needs to be proved to customers in alternative ways. Conversely, improvements in other operational performance dimensions confirm that blockchain can support inter-organizational transactions more efficiently. The results are relevant in times when, following hype, there are signs of disengagement with the technology.

Surprisingly little is known of the various methods of security analysis used by financial analysts with industry-specific knowledge. Financial analysts’ industry knowledge is a favored and appreciated attribute by fund managers and institutional investors. Understanding analysts’ use of industry-specific valuation models, which are the main value drivers within different industries, will enhance our understanding of important aspects of value creation in these industries. This paper contributes to the broader understanding of how financial analysts in various industries approach valuation, offering insights that can be beneficial to a wide range of stakeholders in the financial market.

This paper systematically reviews existing research to consolidate the current understanding of analysts’ use of valuation models and factors. It aims to demystify what can often be seen as a “black box”, shedding light on the valuation tools employed by financial analysts across diverse industries.

The use of industry-specific valuation models and factors by analysts is a subject of considerable interest to both academics and investors. The predominant model in several industries is P/E, with some exceptions. Notably, EV/EBITDA is favored in the telecom, energy and materials sectors, while the capital goods industry primarily relies on P/CF. In the REITs sector, P/AFFO is the most commonly employed model. In specific sectors like pharmaceuticals, energy and telecom, DCF is utilized. However, theoretical models like RIM and AEG find limited use among analysts.

This is the first paper systematically reviewing the research on analyst’s use of industry-specific stock valuation methods. It serves as a foundation for future research in this field and is likely to be of interest to academics, analysts, fund managers and investors.

This article studies a court case heard by the European Court of Justice in 2008 concerning employment discrimination faced by the mother of a disabled child. This case illustrates the search for a fair balance between informal care work and employment in a market economy is a fresh perspective. The very terms of social justice must be recast for the implementation of a more caring society wherein informal caregivers must be recognized as very often constituting a socially disadvantaged group. The development of a caring society requires a more comprehensive examination of power relations between informal caregivers and care recipients or resulting from care activities. Most analyses of care activities reveal a social reality involving structurally unequal agents. Among these are informal caregivers who face situations of inequality, which will not be overcome as long as care continues to be seen through the category of dependency, unilaterally assigned to those on the receiving end of care.

This study aims to investigate whether there is a relationship between the religiosity levels of chairpersons’ hometowns and the financial reporting quality of companies.

Using a unique hand-collected data set obtained from various sources, the authors use ordinary least squares and logistic regressions to test the hypotheses and further implement various methods to address potential issues such as omitted variables, reverse causality and selection bias problems. In addition, the authors control for the religiosity level of chief executive officers’ (CEOs) hometowns. Finally, the authors divide the sample into two subsamples – companies with strong corporate governance and companies with weak corporate governance – to investigate the effect of chairpersons’ hometown religiosity on financial reporting quality under strong or weak corporate governance.

The findings demonstrate that companies with chairpersons from religious hometowns produce high-quality financial reports. Additional tests, such as the Heckman selection model and instrument variable regression, confirm the robustness of the main results. Controlling for the religiosity level of the CEO’s hometown yields consistent findings with the main results. Finally, additional results indicate that the religiosity levels of chairpersons’ hometowns play a significant role in enhancing financial reporting quality in companies with weak corporate governance.

Companies should consider appointing board members or chairpersons from more religious hometowns, as the empirical results of this study support the positive effects of chairpersons’ hometown religiosity on financial reporting quality.

To the best of the authors’ knowledge, the current study is among the first to demonstrate the relationship between the religiosity level of the chairpersons’ hometown and the financial reporting quality of companies. The study introduces unique hometown religiosity proxies and controls for various variables related to corporate governance, chairperson attributes, company characteristics, and audit firm characteristics.