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Managing perishable inventories is a trade‐off of shortages and lost sales against wastage. This paper aims to identify what drives good management of perishables within the supply chain using the example of blood inventory management in hospitals.

Seven case studies with hospital transfusion laboratories in the UK blood supply chain were carried out in order to explore how perishable inventories are managed. The case studies identify drivers for good performance in perishable inventories.

Six recommendations are developed for how managers can improve perishable inventory performance. These are based around simple management procedures implemented by experienced staff. The case studies develop three propositions that recommend how inventory theory should be embedded in practice.

This research demonstrates that managerial changes and training issues have a significant impact on waste reduction and inventory management performance in perishable supply chains. However, as the case studies focus on the blood supply chain, some caution needs to be applied in generalising these findings beyond the specific context studied.

A multi‐disciplinary approach, combining awareness of the importance of the dynamics of the whole supply chain with good skill and experience, leads to new thinking, which enables staff to make better inventory decisions resulting in better performance and reduced wastage. Managerial changes and training are critical for good inventory performance.

Literature suggests that sophisticated and complex inventory models will drive performance; however, in practice a combination of basic well‐grounded inventory theory with simple management procedures carried out by experienced staff leads to better performance.

The purpose of this study is to focus on mutual funds’ valuations of their US private firm holdings. According to extant academic literature, mutual funds’ boards of directors should assign prices to their private firm stocks based on their own determination of fair value.

This study investigates fluctuations in valuations of mutual funds holdings of private firms, and whether or not mutual funds managers are able to pick privately held firms that eventually undergo an initial public offer.

The study shows that private firm common stocks’ prices fluctuate much more than preferred stocks’; however, as expected, preferred stock is the most selected security type. This study also investigates these firms’ propensity to undergo an initial public offering (IPO). Results show that mutual funds allocated most of their capital to US private sector firms that underwent an initial public offering. Logit model results reveal that fund managers are able to pick privately held firms that will go public.

Due to data limitations, the authors’ analysis does not control for venture capital ownership; an issue the authors plan to address in the future.

Though, research in this area may exist, the authors have not found academic literature related to holdings of private firms by mutual funds, pricing by funds’ boards of directors or the motives for such investments.

High levels of turnover in financial markets are consistent with the notion that trading, like gambling, yields direct utility to some agents. The purpose of this paper is to show that the presence of these agents attenuates covariance risk pricing and volatility, and implies a negative relation between volume and future returns. Since psychological literature indicates that the desirability of a gamble arises from the ex ante volatility of the outcome, the authors propose that agents derive greater utility from trading more volatile stocks. These stocks earn lower average returns in equilibrium, although the risk premium on the market portfolio is positive. The authors then consider a dynamic setting where agents’ utility from trading increases when they make positive profits in earlier rounds (e.g. due to an endowment effect). This leads to “bubbles,” i.e. disproportionate jumps in asset returns as a function of past prices, higher volume in up markets relative to down markets, as well as a leverage effect, wherein down markets are followed by higher volatility than up markets.

Analytical.

The presence of gamblers attenuates covariance risk pricing and volatility, and implies a negative relation between volume and future returns. If gamblers prefer more volatile stocks, these stocks earn lower average returns in equilibrium. If agents’ utility from trading increases when they make positive profits in earlier rounds (e.g. to an endowment effect), this leads to higher volume and lower volatility in up markets relative to down markets.

No paper has previously modeled agents who derive direct utility from trading.

Radio frequency identification (RFId) technology has a great potential to improve process efficiency and effectiveness. However, because of the variety of application areas and achievable benefits, structured assessment models are needed to support managers in the adoption decision. The purpose of this paper is to describe a structured method to support the evaluation of the benefits enabled by RFId technology in medical treatment support in the healthcare industry. The method, and its application to an Italian case study, are deeply illustrated so as to increase the knowledge available to decision makers.

The research underlying this paper has modelled the relationship between the technology and the performance driver of the target process, and then between the performance driver and the measurable key performance indicators of that process. This knowledge, focused on the healthcare industry but still quite general, has been formalised into 12 causal maps. Starting from these maps, a six-step procedure to prioritise the analysis, tailor the maps and adapt (or develop) analytical models to estimate the benefits is presented. The overall method and its application to an Italian case study are deeply illustrated so as to increase the open available knowledge to decision makers.

The findings are twofold: first, the knowledge represented by the causal maps; and second, the findings of the case study, which shows that efficiency benefits can cover the operative expenses of RFId adoption, but need to be integrated with effectiveness benefits in order to fully justify the investment costs.

The paper provides a contribution for both researchers and practitioners. As the former are concerned, the paper is a first attempt to fill the existing lack of structured approaches concerning the evaluation of potential benefits of RFId for product traceability within a healthcare facility. As for the latter, the presented method has been developed to practically support all those managers who are evaluating whether to adopt RFId technology in their organisation or not. This contribution has a relevant practicality, as it helps decision makers to address their decisions relying on a sound conceptual baseline, and on objective evaluations.

The digital twin (DT) has become a heated topic among supply chain and information technology practitioners. While many papers in this area focus on technical tactics and learnings, this research paper aims to evaluate its business implications. According to literature, it has also been a weakly covered topic.

The research was conducted as a single case study, in which the impact of radio-frequency identification–enabled DT was quantified from the business benefits perspective. The evaluation was carried out using a framework model developed for the assessment identifying key contribution areas and the dynamics explaining how the benefits are expected to land on a business level.

Implementation of the DT was calculated to provide a significant supply chain performance improvement. The main contributor in the immediate benefits was the reduction in supply chain costs, in person-hours. However, the product availability improvement was conservatively considered in the evaluation, and thus, this paper estimates that it, together with higher cognition tools, constitutes the main financial return in the long run showing in the topline improvement. This paper suggests that the shift to DT can be generally limited by the cost savings perspective.

To the best of the authors’ knowledge, this is one of the first studies released on the business impact of the cutting-edge technical solution area of the DT in supply chain management. In practice, businesses require an understanding of the business implications to decide on the investments in this area; thus, it is a critical part of the discussion.

This paper aims to document the relationship between advertising expenditures and analyst coverage in a sample of Indian firms during the period between 2000 and 2019.

In order to test the effect of advertising expenditures on the extent of analyst coverage, the authors estimate various versions of pooled ordinary least squares (OLS) regression. The dependent variable (ANALYST) measures the total number of analysts covering a firm in a given year. The main independent variable of interest in this paper represents the advertising activity. The authors define the extent of advertising activity (ADVERT) as the ratio of total advertising expenditures and total assets.

The study’s results show that advertising expenditures have a significantly positive impact on the extent of analyst coverage and are robust across various proxies of the key variables and various estimation procedures.

There are a number of key takeaways from our study. First, firms that expend more resources on advertising are more likely to be followed by analysts which is associated with better performance, lower information asymmetries associated and high advertising expenditures. Second, stock prices with more information embedded in them may signify that these firms receive more attention from investors and have lower information asymmetries. And finally the impact of advertising on the decision of an analyst to cover a firm becomes more pronounced for firms with high stock price synchronicity. All these three main conclusions are giving investors a clear insight on analyst coverage, advertising expenditure and the link between the two.

The results are consistent with the argument that advertising expenditures induces analysts to cover firms because firms with high advertising activities are more likely to have better performance, lower information asymmetries and increased attention from investors. All of these factors are supposed to facilitate the analyst coverage.

The purpose of the current study is to revisit the relationship between CSR and firm market performance. The authors examine whether a gap between the firm's internal and external CSR moderates the CSR-firm market performance relationship. Additionally, the authors propose that the moderating effect of the CSR gap on this relationship is mediated by firm visibility.

The initial sample is the Fortune 500 firms during the years 2004–2013. The final panel data sample consisted of 1,300 firms and 6,128 observations from 2004 to 2013. The authors obtained data from five different sources: Compustat North America Fundamental Annual, GMI Ratings, Execucomp, IBES and KLD Stats.

The results of this research find evidence that both internal CSR and external CSR were positively related to firm market performance, but that the relationship was stronger for firms with equal emphasis on external and internal CSR activities. Furthermore, the negative moderating effect of the CSR gap was mediated by the firm visibility.

The findings of the study advance our understanding of the CSR-FP relationship. First, the theoretical arguments and the empirical evidence highlight that the CSR-FP relationship exists and that its magnitude is contingent upon the gap between internal and external CSR investments. Second, the authors enhanced theoretical understanding of how and why CSR relates to firm performance by exploring firm visibility as a mediator. Specifically, the authors introduced firm visibility as a mechanism which explains the effect of the interaction of overall CSR with the CSR gap on firm performance.

Motivated by the increasing momentum of environmental, social and governance (ESG) investing, this research aims to test the impact of ESG-related news on stock returns, comparing different geographical areas to check whether the cultural background makes any difference.

Using a classic event–study methodology, this study measures extra returns following the broadcast of positive or negative ordinary news concerning ESG issues using a panel of major international companies located in Europe, North America and the Asia-Pacific (APAC) region.

ESG news are interpreted differently in different geographical areas. In Europe, bad news matter more than good news and produce a negative price impact. In the USA, a mirror picture emerges: good news matter more than bad news and produce a negative price impact. In the APAC area, ESG news are no news and are not correlated to significant extra returns. This study also shows that ESG reputation plays an important role and affects the impact of news on equity returns.

Both managers and equity investors need to be aware of the potential magnitude and direction of stock market’s reactions to news concerning ESG matters, taking also into consideration the location of the firm and the moderating effect of ESG reputation. Sustainability cannot be ignored anymore and need to be included into information data set and decision-making processes.

This study adds to the current literature insights on how ESG-related news impact in different geographical contexts. This study finds that news of similar tone may produce divergent effect on stock returns according to the prevailing cultural and economic interpretation of sustainability investments.

Describes a study that set out to evaluate the performance impact of a SAP R3 implementation. The SAP system was implemented by a major multinational business in four of its European plants. Qualitative and quantitative data were collected over a two‐year period, through surveys and interviews with systems users and by accessing company records. While users were able to identify the operational benefits of SAP, they were still doubtful at the end of the evaluation process whether the system had resulted in any significant positive financial benefits for the business. Two themes related to this observation are explored. First the time lag between operational improvements and subsequent financial impact. Second the importance of learning as a means of reducing the time lag. Learning in this context is a multi‐dimensional concept and covers learning how to use the system, learning how to improve the system and learning how to improve the implementation process.

The purpose of this paper is to obtain new empirical evidence about the connections between equity trading activity and five possible liquidity determinants: market capitalisation, dividend yield, earnings yield, company growth and the distinction between recently listed firms as opposed to more established ones.

The authors use a sample of 172 stocks from four European markets and estimate models using the entire sample data and different sub-samples to check the relative importance of the above determinants. The authors also conduct a factor analysis to re-classify the variables into a more succinct framework.

The evidence suggests that market capitalisation is the most important trading activity determinant, and the number of years listed ranks thereafter.

The positive relation between trading activity and market capitalisation is in line with prior literature, while the findings relating to the other determinants offer further empirical evidence which is a worthy addition in view of the contradictory results in prior research.

This study is of relevance to practitioners who would like to understand the cross-sectional variation in stock liquidity at a more detailed level.

The originality of the paper rests on two important grounds: the authors focus on trading turnover rather than on other liquidity proxies, since the former is accepted as an important determinant of the liquidity-generation process, and the authors adopt a rigorous approach towards checking the robustness of the results by considering various sub-sample configurations.