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The turn-of-the-month (TOM) effect is observed as one of the seasonalities in many markets. The author examines the TOM effect in the KOSDAQ market and finds that the effect is significant. The TOM effect in the KOSDAQ market is not due to size, turn-of-the-year, turn-of-the-quarter or index rebalancing effect. The author also finds that individual and institutional traders do not trade and buy more stocks at the TOM than on the rest days, not consistent with existing explanations of the increased liquidity by individual investors or institutional window-dressing activity. When the author investigated the net buying volume and net turnover of each investor, the net volume and turnover of individual investors at the TOM were significantly lower than those on the other days, rejecting the hypothesis of their increased demand. Interestingly, net foreign volumes at the TOM are significantly higher than on the other days. Finally, using panel regressions, the author finds that stocks with a higher net buying volume of foreigners for the TOM period tend to have higher returns, while stocks with a higher net buying volume of individual traders for the TOM period are likely to have lower returns. The results confirm that the TOM effect is not due to the increased demand of individual investors. Instead, higher net buying volume by foreigners may partially cause the TOM effect. Therefore, this study contributes to the literature by revealing the presence of the TOM effect in the KOSDAQ market and the foreign role in the anomaly in the market even mainly traded by retail investors.

We examine the informational roles of trades and time between trades in the domestic and overseas US Treasury markets. A vector autoregressive model is employed to assess the information content of trades and time duration between trades. We find significant impacts of trades and time duration between trades on price changes. Larger trade size induces greater price revision and return volatility, and higher trading intensity is associated with a greater price impact of trades, a faster price adjustment to new information and higher volatility. Higher informed trading and lower liquidity contribute to larger bid–ask spreads off the regular daytime trading period.

Valence and volume of online reviews are generally considered to influence sales positively. However, existing findings regarding the relative influence of these two components have been inconclusive. This paper aims to explain some of these inconsistencies by examining the moderating role of regulatory focus (both as a chronic disposition and as a situational focus induced by the product category) in the relationship between online review volume/valence and consumers purchase decisions.

Two studies were conducted. Study 1 used a 2 (Volume: high/ low) * 3 (Valence: high/medium/low) within-subject experimental design. Study 2 analyzed real-world data from Amazon.com. Logistic and panel regression analyses were used to test the research hypotheses.

The studies confirmed the hypothesized effect of regulatory focus on online review valence and volume effects. Specifically, Study 1 showed that online review valence was more impactful for consumers with a promotion focus than for consumers with a prevention focus. The opposite was true for online review volume effects, where consumers with a prevention focus were influenced more by volume in their decision-making compared to consumers with a promotion focus. Study 2 showed that the pattern of results we found in Study 1 also applied to situational regulatory focus induced by the product category. The effect of review volume on sales rank was stronger for prevention-oriented products, whereas the effect of valence was stronger for promotion-oriented products.

In Study 1, one product category was involved in the study (Digital camera). Involving more different product categories will add reliability to the results of current research. Also, it can offer external validity to current research results. In Study 2, there was no exact measurement for sales, as Amazon.com does not share that kind of information. Instead, Sales Rank was used as a proxy variable. Future research could look into the websites that offer access to the exact sales information.

The current research findings suggest the need for companies to adapt their consumer review management strategy to the regulatory orientation of their target market and products. When a promotion-focused mindset is targeted, strategies for increasing the favorability of product reviews should be used, in contrast, tactics for increasing the quantity of reviews may be more suitable when a prevention-focused mindset is involved.

To the best of the authors' knowledge, this research is the first to investigate the interaction between regulatory focus of consumers and products and online review components.

The purpose of this paper is to examine the link between service specialization and operational performance in hospitals. Existing literature has mostly been concerned with the performance effects of operational focus, which can be seen as an extreme form of specialization. It is not clear, however, whether an effect similar to the focus effect can be observed also in cases where specialization takes on less extreme forms. The authors analyze this effect up to and above the effects of volume, learning and patient selection.

Ordinary least squares (OLS) and two‐stage regression models were used to analyze patient data from 142 Austrian hospitals over the 2002‐2006 period. The sample contains 322,193 patient groups (841,687 patient group‐year observations).

The authors find that increased specialization in a service leads to a more efficient provision of this service in terms of shorter length of stay. The analysis shows that this effect holds even after controlling for volume, learning, and patient selection effects. The authors suggest that the pure specialization effect is due to the increased administrative and medical attention that is given to a service when the relative importance of that service increases.

The paper's results indicate hospital managers should pay attention to the impact of specialization when making service‐mix decisions. If two services have the same or a similar level of operational performance, then this does not mean that hospital managers should be indifferent as to the relative volume of these services.

The paper provides additional insights into the impact of service‐level specialization not examined in prior literature.

Prior studies on the impact of incentives on physicians’ online participation mainly focused on different incentives while ignoring the difficulty of setting monetary incentives efficiently. Based on goal-setting theory, the current research examines the relationship between incentives with goals of varying difficulty and professional health knowledge sharing (PHKS) in online health knowledge-sharing platforms (OHKSPs).

Four field experiments with different monetary incentives were conducted by one of China’s largest OHKSPs, with whom the researchers cooperated in data collection. Monthly panel data on 10,584 physicians were collected from September 2018 to December 2019. There were 9,376 physicians in the treatment group and 1,208 in the control group. The authors used a difference-in-difference (DID) model to explore the research question based on the same control group and the Chow test with seemingly unrelated estimation (sureg) to compare regression coefficients between four groups. Several robustness checks were performed to validate the main results, including a relative time model, multiple falsification tests and a DID estimation using the propensity score matching method.

The results show that the monetary incentive significantly positively affected the volume of physicians’ PHKS directly with negative spillover to the duration of physicians’ PHKS. Moreover, the positive effect of incentives with higher difficulty on the volume of physicians’ PHKS was significantly smaller than that of incentives with low difficulty. Finally, professional title had a positive moderating effect on the volume of goal difficulty setting and did not significantly moderate the effect on the duration of physicians’ PHKS.

Some limitations of this study are: firstly, because the field experiments were enterprise benefit oriented, the treatment and control groups were not balanced. Secondly, the experiments for different incentive measures were relatively similar, making it challenging to validate a causal effect. Finally, more consideration should be given to the strategy for setting hierarchical incentives in future research.

The research indicates that monetary incentives have a bilateral effect on PHKS, i.e. a positive direct effect on the volume of physicians’ contributions and a negative spillover effect on the duration of physicians’ PHKS. The professional titles of physicians also moderate such bilateral switches of PHKS. Furthermore, when a physician’s energy is limited, the goal difficulty setting of the incentive mechanism tends to be low. The more difficult the incentives are, the more inefficient the effects on physicians’ PHKS will be.

The purpose of this paper is to provide a method for planning and controlling energy budgets for an industrial plant. The developed method aims to obtain a very high confidence of predicted electrical energy cost to include into the estimation of budget and a continuous control of energy consumption and cost.

The authors propose a methodology that refines effectiveness and efficiency of budget estimation. The method relies on a three‐stage analysis: energy consumption characterization and forecasting, energy budget formulation and energy budget control. In particular, this paper deals deeply with the second and the third stages, i.e. energy budgeting and control. The methodology has been developed on the basis of a continuous improvement philosophy and project management techniques. A discussed case study shows the potential of the methodology in order to discover energy consumption inefficiencies.

Energy budgeting and control has been implemented within a set of first and second level metrics. The first level indicators allow identifying the effect of an increase of specific consumption beyond the predicted. The second level indicators allow identifying the effect of variations of price, volume, mix or loading bands from the predicted.

In the paper climatic variations are not considered, limiting the energy drivers to those related to production volumes.

The method can be considered as a practical guide for energy budget planning and control of any industrial consumer.

A new approach to energy budgeting and control is proposed, allowing the impact of different specific consumption or production plans (volume, mix, and load bands) to be calculated.

The purpose of this research is to understand the relationship between publicity, advertising activity and corporate sales in the context of a company’s existing reputation.

The study brings together four unique industry datasets and uses discriminant analysis and multiple regression methods to examine the relationship between existing corporate reputation, publicity, advertising activity and sales levels for major multi-national companies in the technology products sector.

Positive publicity is most important in distinguishing between firms with higher and lower sales. The effects of negative publicity and advertising are dependent on a firm’s existing reputation. For companies with weaker reputations, positive publicity in tandem with business-to-consumer (B2C) advertising is most highly associated with higher company sales. Conversely, for firms with stronger existing reputations, advertising has a significantly diminished role; positive and even negative publicity are most crucial in distinguishing between companies with high and low sales. Negative publicity can be harmful to these firms though if it is not balanced by more positive publicity. Finally, the topic of news coverage is related to sales. Generally, stories that are positive reporting on business outcomes, leadership and business future and marketing practices are most important in discriminating between firms with stronger vs weaker sales.

For this set of technology product firms, publicity and advertising are relevant for sales. Firms with higher levels of sales have both more positive and negative publicity, but the volume of positive stories is much higher. Attracting negative publicity is common for firms that achieve higher sales, but it is offset by a greater number of positive stories, an aspect that public relations efforts can influence. B2C advertising spending meanwhile matters more for firms with weaker rather than stronger existing corporate reputations. It is most effective for firms with weaker existing reputations to maximize the positive signals in the marketplace as exemplified by positive publicity and B2C advertising efforts.

Little research has examined the relationship between different forms of corporate communications and sales; this study is a rare examination using publicity, advertising spending, existing reputation and sales in a durable goods and services context where there has been a particular dearth of even basic advertising studies. Beyond understanding the relative importance of publicity v. advertising, it also uniquely focuses on the individual topics of news publicity.

This paper aims to extend existing research in relation to both the importance of volume effects within housing markets and the specific behaviour of the London housing market. A detailed borough-level examination is undertaken of the relationships between volume, house prices and house price volatility. Support for alternative housing market theories, the degree of heterogeneity in house price behaviour across boroughs and the extent to which housing displays differing properties to other financial assets are examined.

Correlation analyses, causality testing and volatility modelling are undertaken in extended forms which synthesise and extend approaches within the housing, economics and finance literatures. The various modelling and testing techniques are supplemented via the use of alternative variable transformations to evaluate housing market behaviour in detail.

Novel findings are provided concerning both volume effects within housing markets generally and the specific properties of London housing market. Evidence concerning bubbles, the volatility-reducing effects of volume, the importance of geographical and price-related factors underlying the relationship between volume and both house price growth and volatility and the presence of asymmetric adjustment in the London housing market are all provided. The extent and nature of the support available for alternative housing market theories are evaluated.

The volatility-reducing effects of volume within housing markets, along with volume effects and the presence of asymmetric adjustment within the London housing market are examined for the first time. New empirical evidence on the support for alternative housing market theories and the differing empirical characteristics of housing relative to other financial assets are presented.