Exploring the Interface Between Strategy-Making and Responsible Leadership

Theorists have long argued that a process of individualisation is inherent in conditions of late modernity. Whilst individualisation has been acknowledged in the business ethics literature, studies have often overlooked the processes by which individuals are given greater responsibility for ethical decision making and the personal and institutional effects of this responsibility. This article develops a notion of ‘ethical individualisation’ to help one understand and explore how and why ethical responsibility is being devolved to employees in the UK consulting industry. The article argues that an individualised ethics is incapable of preventing malpractice in the face of institutional conflicts of interest.     

Returns to spending on agricultural extension: the case of the National Agricultural Advisory Services (NAADS) program of Uganda†

The aim of this paper is to assess the direct and indirect impacts of the agricultural extension system of Uganda, the National Agricultural Advisory Services (NAADS) program, on household agricultural income. Data from two rounds of surveys of Ugandan rural farm‐households conducted in 2004 and 2007, as well as different program evaluation methods and model specifications, are used to estimate impacts and compute a rate of return. The direct and indirect impact of the program is estimated at 37–95% and 27–55% increase in per capita agricultural gross revenue between 2004 and 2007 for households participating directly and indirectly in the program, respectively, compared to nonparticipants. The rate of return on the program's expenditures is estimated at 8–49%. The program has been relatively more effective among male‐headed, larger, and asset‐poor households, as well as those taking up noncrop high‐value enterprises and living further away from financial services, all‐weather roads, and markets or located in the Eastern and Northern Regions. Policy implications of the results are drawn.     

Do collective bargaining institutions crowd out discussion and implementation of firm‐related training programs? Evidence from Japan

The paper empirically examines labor‐management communication concerning in‐house training programs and its relation to the actual on‐ and off‐the‐job training policy and wage structure. Using governmental datasets from Japan, we study how different labor‐management communication institutions may affect the training interests of employers and employees differently. We classify these institutions in terms of whether they have a legal (i.e. statutory) foundation (‘de jure’) or not (‘de facto’). We find that collective bargaining, with legal grounds, may crowd out employees’ willingness to communicate about training. However, the existence of ‘de facto’ communication channels such as joint labor‐management councils or shop floor committees is positively correlated with both on‐ and off‐the‐job of training. At the same time, the existence of unions is positively correlated with the steepness of wage profiles for mid‐career workers, which is consistent with the fact that employers and employees assume a long‐term relationship. Thus, we show that a multi‐tiered structure of labor‐management communication, together with a long‐term orientation toward the employment relationship, contributes to strengthen employees’ voice in training matters.     

Lobbying and tax competition in an oligopolistic industry: a reverse home-market effect

This paper studies tax competition between two asymmetrical countries for an oligopolistic industry with many firms. Each government sets its tax rate strategically to maximize the weighted sum of residents’ welfare and political contributions by owners of firms. It is shown that if the governments care deeply about contributions and trade costs are low, the small country attracts a more than proportionate share of firms by setting a lower tax rate. The well-known home-market effect, which states that countries with a larger market attract a more-than-proportionate share of firms, may be reversed as a result of tax competition by politically interested governments.     

International migration,foreign direct investment,and development stage in developing economies

The existing empirical results on the relationship between FDI and migration are rather mixed. This study reevaluates, both theoretically and empirically, how inward FDI relates to emigration in developing countries. Our model illustrates that the relationship between inward FDI and emigration flows depends on the development stage of a developing country, that is, there is a positive association between inward FDI and emigration flows for relatively less‐developed countries but a negative association between these two variables for relatively developed countries. We confirm the empirical validity of our model prediction using the panel data of 21 OECD and 51 non‐OECD countries during the period from 2003 to 2012. Our results argue that as economic development proceeds in a developing country, the home effect of inward FDI associated with intensified labor demand would dominate the linkage effect that induces the brain drain problem through enhancing the socioeconomic ties with migrant networks.     

Accounting Frauds and Main-Bank Monitoring in Japanese Corporations

This study examines whether the delegated monitoring of main banks effectively decreases severe agency problems. For example, this includes accounting fraud in bank-dominated corporate governance. In this context, the fraud triangle specifies the three main factors of opportunity, incentive, and rationalization. Main banks may reduce the factor of opportunity through actions such as monitoring, which plays a moderating role by reducing the potential for managerial misconduct, whereas, the incentive factor may be enhanced through the subsequent pressure that influences managers to force turnover when they do not repay debts. The potential influence that the main banks have on the fraud rationalization factor may be stronger in firms that are more dependent on main-bank borrowing. This study analyzed data from publicly listed firms in Japan for the period between 2008 and 2016 to determine how main-bank relationships affected accounting fraud, thus allowing an assessment of delegated monitoring practices. Findings showed that main-bank relationships were helpful for reducing accounting fraud, suggesting its overall effectiveness in delegated monitoring. Results also showed that large audit firms did not necessarily prevent accounting fraud, which implies that main banks can employ their own monitoring as a substitute for the roles typically played by these firms. Here, the main policy implication is that main-bank relationships may strengthen business ethics in the context of bank-dominated corporate governance. In conclusion, the continued analysis of bank monitoring may benefit stakeholders while strengthening business ethics in bank-centered economies.

     

Encoding of high-frequency order information and prediction of short-term stock price by deep learning

Predicting the price trends of stocks based on deep learning and high-frequency data has been studied intensively in recent years. Especially, the limit order book which describes supply-demand balance of a market is used as the feature of a neural network; however these methods do not utilize the properties of market orders. On the other hand, the order-encoding method of our prior work can take advantage of these properties. In this paper, we apply some types of convolutional neural network architectures to order-based features to predict the direction of mid-price trends. The results show that smoothing filters which we propose to employ rather than embedding features of orders improve accuracy. Furthermore, inspection of the embedding layer and investment simulation are conducted to demonstrate the practicality and effectiveness of our model.     

An optimal execution problem with market impact

We study an optimal execution problem in a continuous-time market model that considers market impact. We formulate the problem as a stochastic control problem and investigate properties of the corresponding value function. We find that right-continuity at the time origin is associated with the strength of market impact for large sales; otherwise the value function is continuous. Moreover, we show the semigroup property (Bellman principle) and characterise the value function as a viscosity solution of the corresponding Hamilton–Jacobi–Bellman equation. We present some examples where the form of the optimal strategy changes completely, depending on the amount of the trader’s security holdings, and where optimal strategies in the Black–Scholes type market with nonlinear market impact are not block liquidation but gradual liquidation, even when the trader is risk-neutral.     

CHANGE DETECTION OF ORDERS IN STOCK MARKETS USING A GAUSSIAN MIXTURE MODEL

We propose a method for detecting changes in the order balance in stock markets by applying a stochastic model to the feature vectors extracted from the order‐book data of stocks. First, the data are divided into training and test periods. Next, a Gaussian mixture model is estimated from the feature vectors extracted from the order‐book data in the training period. Finally, the goodness of fit of the feature vectors in the test period over this model is calculated. Using the proposed method, we found that the order balances of stocks for which insider trading was reported were unusual. Copyright © 2014 John Wiley & Sons, Ltd.     

The impact of post-merger integration on the customer–supplier relationship

While the impact of mergers and acquisitions (M&A) on internal stakeholders has generated considerable empirical study, comparatively little academic attention has been paid as to how external stakeholders such as customers are affected by, and respond to, M&A activity. This study adopts case-study methodology to illuminate how the customer–supplier relationship is affected by post-merger integration processes in the business-to-business context, with the aim of increasing our understanding of why customers respond to M&A in the ways that they do. The findings highlight the importance of a set of critical customer relationship variables through which post-M&A integration actions can influence customers' perceptions of the merged organisation and, ultimately, their purchase decisions. We also identify a set of specific individual integration actions that appear to trigger changes in the critical customer relationship variables. Together, the findings contribute to our understanding of the precise mechanisms through which M&A can affect customers' purchase decisions and the combining firms' market-related performance. More broadly, consistent with the stakeholder perspective, they reinforce the need to take account of external as well as internal stakeholders when considering the drivers of M&A outcome. Implications are discussed for future research as well as for B2B service industry executives involved in M&A.