Customer satisfaction with socially responsible investing initiatives: The influence of perceived financial and non-financial quality

During the last decade, socially responsible investment (SRI) initiatives have grown to become a mainstream financial service in many countries. However, to date, only a few studies focus on understanding the final investor of such initiatives. This article focuses on one particularly overlooked aspect of SRI behavior; that of customer post-purchase satisfaction. A theoretical model of satisfaction with SRI-profiled mutual funds is developed and tested. The results indicate that perceived financial performance of the SRI-profiled mutual fund is the most important predictor of customer satisfaction. However, perceived environmental, social and governance (ESG) performance also had a positive impact on satisfaction for the SRI mutual fund. On the basis of these results, it is argued that although ESG quality is important to customers, marketers of SRI initiatives should primarily focus on the conventional quality attributes such as financial performance, as a good ESG record alone is unlikely to generate customer satisfaction.     

Exchange trading rules and stock market liquidity

We examine stock exchange trading rules for market manipulation, insider trading, and broker–agency conflict, across countries and over time, in 42 stock exchanges around the world. Some stock exchanges have extremely detailed rules that explicitly prohibit specific manipulative practices, but others use less precise and broadly framed rules. We create new indices for market manipulation, insider trading, and broker–agency conflict based on the specific provisions in the trading rules of each stock exchange. We show that differences in exchange trading rules, over time and across markets, significantly affect liquidity.     

Profitability and size of newly established firms

International Entrepreneurship and Management Journal - Does size matter for new firms and do they need to be large to be profitable? From small to large firms, a wide range of arguments have...     

DO MANAGERS MATTER: EVIDENCE FROM E‐SPORTS

Growing importance of human resources places the role of managers at the core of company efficiency. However, there are studies that demonstrate the efficiency of teams without a manager, so‐called self‐managed teams, is higher comparing with managed teams. Thus, despite the focus on managerial efficiency in the economic literature, the issue of whether a team needs a manager is far from settled. In this paper, we use a quasi‐experimental setting from e‐Sports (competitive video gaming) to understand whether the hiring a manager is of benefit to team performance. The empirical part of the study is based on endogenous switching regression model. This method allows investigating what performance of self‐managed team would be if it will have a manager and vice versa. The dataset includes the information of prize money and features of top e‐Sports teams in Counter‐Strike: Global Offensive (e‐Sports discipline) from 2013 to 2017. The main finding of this study is that managed teams perform better than self‐managed ones but this is not due to the manager. (JEL Z2, M54, L25)     

MANAGING THE SUPPLY OF SHORT‐LIFE PRODUCTS. A DURATION ANALYSIS APPROACH USING THE UK FILM INDUSTRY

Movies are uncertain products. Nobody knows much about them prior to their screening and their attempt to survive in the risky motion picture market week by week. This paper studies short‐life products using the example of the UK film industry, including high and low‐budget films. Using a clog‐log methodology and a sample of 552 films, the empirical results highlight the importance of the distributor's strategy and word‐of‐mouth for success in experience goods industries. Two strategies, cross‐subsidisation and opportunity cost, not previously addressed are considered. The results show these effects to be especially significant for low budget movies.     

Multiplicative noise,fast convolution and pricing

In this work we detail the application of a fast convolution algorithm to compute high-dimensional integrals in the context of multiplicative noise stochastic processes. The algorithm provides a numerical solution to the problem of characterizing conditional probability density functions at arbitrary times, and we apply it successfully to quadratic and piecewise linear diffusion processes. The ability to reproduce statistical features of financial return time series, such as thickness of the tails and scaling properties, makes these processes appealing for option pricing. Since exact analytical results are lacking, we exploit the fast convolution as a numerical method alternative to Monte Carlo simulation both in the objective and risk-neutral settings. In numerical sections we document how fast convolution outperforms Monte Carlo both in speed and efficiency terms.     

Office Building Capitalization Rates: The Case of Downtown Chicago

This paper is an empirical study of the capitalization rates for 132 office building sales in downtown Chicago from 1996 to 2007. The capitalization rate is hypothesized to be a function of the classic capital asset pricing model variable and variables intended to capture the expectation that the real market value of the building will change. The results show that the capitalization rate for office buildings incorporates a very low value for “beta.” A lower capitalization rate was associated with a smaller risk-free rate, a lower borrowing rate, class A buildings, newer buildings, buildings that had been renovated, a reduction in the vacancy rate in the downtown Chicago office market, and an increase in employment in the financial sector of the metropolitan area.     

Working with concepts in the fuzzy front end: exploring the context for innovation for different types of concepts at Volvo Cars

Automotive firms are balancing the increasing needs for cost and time efficiency with the necessity of developing more innovative products to stand out on in a competitive market. The strive for efficiency has led to an increasingly structured development process with limited allowances for deviations. Previous academic work has pointed out the importance and embedded potential of the fuzzy front end, where new concepts still have the possibility to impact the new product development (NPD) process. However, most research has focused on the transfer of new technologies, while concepts based on e.g. customer or market knowledge have been more or less neglected. This paper discusses the need for alternative and contingent approaches in the front end of NPD to also consider the transfer of other types of concepts. More specifically, it addresses the need to distinguish between different types of concepts and to explore their different prerequisites in NPD. It is argued that customer- and market-based concepts experience certain difficulties due to the history and power of technology in research and development (R&D) domains in the automotive context as well as a lack of support from the existing, formal processes. In this paper, we argue that all new concepts need to be conceptualized before being introduced to the NPD process, but that does not always suffice. Concepts other than technology concepts also need a contingent package to enable an evaluation in the context of the R&D process – they need to be contextualized. This paper draws on an in-depth case study of Volvo Cars within a long-lasting collaborative research setup. It is based on an interview study with key persons in the areas of concept work and NPD, and uses an insider/outsider approach.     

The Danish agricultural revolution in an energy perspective: a case of development with few domestic energy sources

This article examines the case of Denmark—a country which historically had next to no domestic energy resources—for which new historical energy accounts are presented for the years 1800–1913. It demonstrates that Denmark's take‐off at the end of the nineteenth century was relatively energy dependent. This is related to Denmark's well‐known agricultural transformation and development through the dairy industry, and thus the article complements the literature which argues that expensive energy hindered industrialization, by arguing that similar obstacles would have precluded other countries from a more agriculture‐based growth. The Danish cooperative creameries, which spread throughout the country over the last two decades of the nineteenth century, were dependent on coal. Although Denmark had next to no domestic coal deposits, this article demonstrates that Danish geography allowed cheap availability throughout the country through imports. On top of this it emphasizes that another important source of energy was imported feed for cows.