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This study examines the relation between voluntary corporate social responsibility (CSR) disclosure and the local religious norms of firms’ stakeholders. Little is known about how these local norms (measured at the county level) affect firms’ disclosure practices and firm value, especially voluntary disclosure on climate change and environmental and social responsibility.

Poisson regression models test for a significant relation between firms’ voluntary CSR disclosure intensity and the local religious norms of firms’ stakeholders. Also, an event study tests whether the local religious norms affect investment returns. The data analyzed are extracted from the archive of CSRwire, a prominent news organization that distributes CSR news to investors and the public worldwide.

The study finds that firms in high adherence (high churchgoer) locations disclose CSR activities less frequently, and firms in high affiliation (a high proportion of non-evangelical Christian churchgoers) locations disclose CSR activities more frequently. The study also finds that managers make firm-value-increasing CSR disclosure decisions that cater to the religious and social norms of the local community.

The results imply that managers self-identify with the local religious norms of stakeholders and appropriately disclose less about CSR activities when religious adherence is high and when religious affiliation (the ratio of non-evangelicals to evangelical Christians) is low. The authors find this noteworthy because religious bodies often call for greater CSR involvement and disclosure. Yet, at the firm level, it would appear that local community religious norms also prevail, as it is shown that they significantly explain firms’ CSR disclosure behavior, implying that managers cater to local religious norms in their disclosure decisions.

The findings suggest that managers vary the timing and intensity of voluntary CSR disclosure consistent with stakeholders’ local religious and social norms and that it would be costly and inefficient if the firms were to expand CSR disclosure without considering the religious norms of their local community.

This is the first large-sample study to show that local religious norms affect CSR disclosure behavior. The study makes use of a unique and novel data set obtained exclusively from CSRwire.

This paper aims to examine the risks associated with smart contracts, a disruptive financial technology (FinTech) innovation, and assesses how in the future they could threaten the integrity of the global financial system.

A qualitative approach is used to identify risk factors related to the use of new financial innovations, by examining how over-the-counter (OTC) derivatives contributed to the Global Financial Crisis (GFC) which occurred during 2007 and 2008. Based on this analysis, the potential for similar concerns with smart contracts are evaluated, drawing on the failure of The DAO on the Ethereum blockchain, which involved the loss of over $60m of digital currency.

Extensive use of bilateral agreements, complexity and lack of standardization, lack of transparency, misuse and speed of contagion were factors that contributed to the GFC that could also become material concerns for smart contract technology as its adoption grows. These concerns, combined with other contextual factors, such as the risk of defects in smart contracts and cyberattacks, could lead to potential destabilization of the broader financial system.

The paper’s findings provide insights to help make the design, management and monitoring of smart contract technology more robust. They also provide guidance for key stakeholders on proactive steps that can be taken with smart contract technology to avoid repeating the types of oversights that contributed to the GFC.

This paper draws attention to the risks associated with the adoption of disruptive FinTech. It also suggests steps that regulators and other key stakeholders can take to help mitigate those risks.

This paper looks at how our normal course of business leads us through a number of disciplines to become smarter about our products, our competitors, the markets in which we compete and tomorrow's potential big ideas. We evaluate sales data. We do store checks. We analyse competitive media. We conduct creative reviews. We do SWOT analyses. We benchmark our businesses against established and expanded competitive frames.

This study investigates the time‐series properties of operating cash flows per share and earnings per share for all manufacturing firms on the Compustat Quarterly Industrial tape for which sufficient data are available. Both individually‐identified and “premier” models are compared on the basis of their relative fit and forecasting accuracy. The empirical results suggest that for both accounting variables the individually‐identified models outperform the premier models, although this advantage is larger for earnings, and for forecast horizons beyond one quarter ahead. A major conclusion of the study is that the time‐series properties of cash flows are quite different than those of earnings. In particular, the cash flow series are considerably less predictable, as shown by their relatively high incidence of white‐noise series and relatively large forecast errors.

The NHS is about to embark on the widescale introduction of performance‐related pay. A number of recent studies have seriously questioned the efficacy of merit pay. Utilizing the expectancy theory of motivation, explains why performance pay is unlikely to motivate NHS staff.

This study examines the connections between subculture theory, symbolic interaction and the work of David Matza with a special focus on exploring alcohol consumption by young adults in the UK. We apply Matza ideas of the “techniques of neutralization,” “subterranean values,” and “drift” within an ethnographic study on alcohol to suggest that young people's “calculated hedonism” can be understood as a strategy of agency in the context of a subcultural setting. This article adds to the literature of symbolic interaction, subculture and the discipline of sociology by critically focusing on the work of David Matza from its reception in the 1960s to today as a central element of the new paradigm of cultural criminology. For us the sociological imagination is “alive and well” through Matza's advocacy of naturalism whereby he sought to integrate the work Chicago School under Park and Burgess with his assessment of the so-called Neo-Chicago School. In the literature Matza's work is often defined as symbolic interactionist we see his ambition in a wider sense of wanting sociology to recover human struggle and the active creation of meaning. Our approach is to understand the calculated hedonism of young adult use of alcohol through their humanity.

This study aims to examine the economic cost imposed by capital markets of section 1502 of the Dodd-Frank Act of 2010 on conflict minerals (CM). The authors analyse a sample of first-time CM disclosures made by US companies in 2010-2012.

The authors measure the market response to these disclosures and compare it to the response of a matched control sample of non-disclosers. An overall negative response could arise from regulatory costs, changes in management decision making, or customers' social concerns about CM. An overall positive response could reflect the benefits of disclosure transparency.

The authors find that the negative effects of the disclosures outweigh any positive effects. The authors also find more limited negative effects for the control sample, since they are likely to be future CM disclosers.

Because companies' balance sheets do not report these negative effects, the results imply that investors price supply chain activities related to CM as an off-balance sheet liability.

The results agree with companies' assertions of a substantial cost to implement the CM provision. The authors estimate an aggregate loss of shareholder value for the sample of $6.5 to $13.1 billion.

These results show that regulators' and stakeholders' demands for increased transparency can be costly to shareholders when the disclosures induce changes in management decision making and raise customers' social concerns about supply chain sustainability.

The study is the first to examine the economic effects of companies' initial disclosures about CM under the Dodd-Frank Act of 2010.

This paper aims to briefly review the current state of and rationale for workplace training evaluation, explain the barriers that prevent wide scale and effective evaluation and provide practitioners with a novel training evaluation approach.

The article is based on a critical review of current approaches to and literature on training evaluation and the author's own research into the impact of learning on NHS productivity.

Whilst national governments stress the importance of workplace skills development as a central element of economic growth and organizations invest substantial amounts in training, very few private firms or public sector organizations actually review learning's impact on individuals, teams or organizational results.

This paper proposes that a range of factors inhibit effective training evaluation. These include the complexity of workplace learning and, crucially, weaknesses in current evaluation processes and tools. In response, the author sets out a novel systematic evaluation process aimed at assisting practitioners in meeting these challenges.

The approach builds on the economic theory of productivity to create a metric of costs and benefits to allow organizations to assess the impact of learning. It is hoped the approach will firstly, contribute to the debate about how training should be evaluated; secondly, bridge the gap between academic research and practitioner needs and finally, provide a scientifically robust but practitioner friendly means of evaluation.

This paper seeks to address current limitations in approaches to training evaluation by presenting a conceptual model of work‐based learning and an associated evaluation framework.

The model and framework presented in this paper are based on a critical review of current approaches to learning evaluation and insights from learning transfer research and programme theory.

This paper sets out a conceptual model of workplace learning based on five elements: a pre‐learning stage, the trigger (need) for learning, the learning event, application of learning and the impact of learning. A linked criterion evaluation framework is also described. It is proposed that this provides a scientifically robust but practitioner friendly framework for workplace learning evaluation.

While most organisations wish to evaluate the effectiveness of their investment in employee training and development, few do. One of the barriers to effective learning evaluation is the failure to ground approaches in a contemporary and comprehensive model of workplace learning. The model and framework set out in this paper aim to assist evaluation by addressing this gap in a practitioner friendly way.

This paper sets out a novel, flexible and comprehensive conceptual model of workplace learning along with an innovative approach to training evaluation that addresses limitations in existing approaches. It is hoped that this will contribute to the debate on appropriate evaluation methods and assist practitioners to undertake evaluation in a more credible manner.

This study aims to examine the impact of the emission allowances granted under California's cap‐and‐trade program (AB 32) – the first major program of its kind in the USA – on the balance sheets and income statements of the S&P 500. So far there has been little discussion of what a cap‐and‐trade program would mean for the US companies' financial statements.

The author states and tests an economic model of the relation between greenhouse gas emissions and financial statement variables at the individual company level and use this model to predict emission allowances and obligations for the S&P 500.

The author's analysis suggests that the average S&P 500 company's balance sheet and net income will be adversely affected under several different accounting treatments for emission allowances, with the greatest impacts in the utilities, energy, and materials sectors.

US and European regulators have yet to set a single standard for emissions accounting. Without a single standard, companies acting in their own interests may use diverse or unclear accounting treatments for similar economic benefits. This can raise the cost of capital and hurt investors.

This is the first study of which the author is aware to document how the emission allowances under the AB 32 cap‐and‐trade program will affect American companies' balance sheets.