Decision making under uncertainty? R&D activity and market value during financial crisis

2019 ◽  
Vol 23 (3) ◽  
pp. 383-401 ◽  
Author(s):  
Christos Sofronas ◽  
Fragiskos Archontakis ◽  
Palie Smart
Keyword(s):  
Financial Crisis ◽  
Small Firms ◽  
Innovation Management ◽  
Market Value ◽  
Strategic Decision ◽  
Data Set ◽  
Content Type ◽  
Time Period ◽  
Weak Evidence ◽  
The Usa

PurposeIn the research & development (R&D) and innovation management literature, the question of whether or not to perform research in the private sector is always a pertinent one. Several studies have used market value to measure its association with a firm’s R&D performance. Nevertheless, in Europe there have been considerably less studies as compared to the USA because the analysis is complicated by data issues and different country-specific laws. The purpose of this paper is to further advance this field of research. The study provides insights into the strategic decision behind conducting R&D.Design/methodology/approachThe econometric analysis is based on a unique panel data set of 133 companies in 13 European countries which is collected from the Bloomberg database covering the time period from 2002 to 2012.FindingsThe empirical findings are as follows: there is weak evidence in support of the hypothesis that R&D expenditure positively affects the firm’s market value, a fact which is confirmed by other published works; there is weak evidence that economic events can disrupt the connection of R&D programs with the market value of firms; and for a highly controversial topic in the literature, data suggest that small firms are rather favoured more from R&D expenditure than large firms.Originality/valueThe current study expands the discussion regarding the effect of R&D on the market value of firms via empirical evidence, within the specific environment of the European financial crisis. Future managerial, informed-based, decisions can be drawn on the present results.

Sheepskin effects in Japan

2005 ◽  
Vol 26 (4) ◽  
pp. 320-335 ◽  
Author(s):  
Thomas K. Bauer ◽  
Patrick J. Dross ◽  
John P. Haisken‐DeNew
Keyword(s):  
Labor Market ◽  
Small Firms ◽  
Admission Policy ◽  
Large Firms ◽  
Data Set ◽  
Capital Theory ◽  
Content Type ◽  
The Usa ◽  
Recruitment System

PurposeThe purpose of this paper is to examine the role of sheepskin effects in the return to education in Japan.Design/methodology/approachThe paper provides a short description of the Japanese schooling and recruitment system. It then describes the data set and the empirical approach. Estimation results are presented for the various specifications. The baseline specification closely follows existing studies for the USA to facilitate comparability across the two countries. The paper further investigates whether there are significant firm‐size differences in the estimated sheepskin effects and whether sheepskin effects disappear with increasing job tenure.FindingsThe estimation results indicate that sheepskin effects explain about 50 percent of the total returns to schooling. The paper further finds that education as a signal is only important for workers in small firms with the size of these effects being similar to comparable estimates for the USA. Finally, the estimated degree effects decrease with firm tenure, in particular for small firms. These results could be explained by the particular recruitment system of large firms in Japan, which makes university diploma as a screening device unimportant for large firms and the admission policy of Japanese universities.Originality/valueBy investigating the role of sheepskin effects in a labor market that differs substantially from the labor market in the USA, the paper provides additional insights to the human capital theory‐screening hypothesis debate.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

Modeling debt choice in agriculture: the effect of endogenous asset values

2017 ◽  
Vol 77 (1) ◽  
pp. 95-110 ◽  
Author(s):  
Maria Bampasidou ◽  
Ashok K. Mishra ◽  
Charles B. Moss
Keyword(s):  
Panel Data ◽  
Interest Rate ◽  
Agricultural Sector ◽  
Macroeconomic Policy ◽  
Rate Of Return ◽  
Data Set ◽  
Content Type ◽  
Asset Values ◽  
The Usa ◽  
Non Parametric

Purpose The purpose of this paper is to investigate the endogeneity of asset values and how it relates to farm financial stress in US agriculture. The authors conceptualize an implied measure of farm financial stress as a function of debt position. The authors posit that there are variations in the asset values that are beyond the farmer’s control and therefore have implications on farm debt. Design/methodology/approach The framework recognizes the endogeneity of return on assets (ROA). It uses a non-parametric technique to approximate the variance of expected ROA (VEROA). The authors model the rate of return on agricultural assets and interest rate with a formulation that focuses on macroeconomic policy. Further, the authors use a dynamic balanced panel data set from 1960 to 2011 for 15 US agricultural states from the Agricultural Resource Management Survey, and information from traditional state-level financial statements. Findings Estimation of linear dynamic debt panel data models accounting for the endogeneity of ROA and VEROA is a challenging task. Estimated variances are unstable. Hence, the authors focus on variance specification that uses the residuals squared from the ARIMA specification and non-parametric estimators. Arellano-Bover/Blundell-Bond generalized method of moments estimation procedures, although may be biased, show that VEROA has a negative and significant effect on the total amount of debt in the agricultural sector. Research limitations/implications The instruments used in this analysis are lagged regressors which may be weakly correlated with the relevant first-order condition, hence not properly identifying the parameters of interest. Future research could include the identification of better instruments, potentially use of sequential moment conditions. Originality/value Unlike previous study, the authors use non-parametric approximation of VEROA. The authors model the rate of return on agricultural assets and interest rate with a formulation that focuses on macroeconomic policy. Second, the authors make use of a large dynamic balanced panel data set from 1960 to 2011 for 15 agricultural states in the USA. To the best of the authors’ knowledge, this study is one of the few that provides evidence on risk-balancing behavior at the agricultural sector level, of the USA.

Real estate development in the city of Athens during the financial crisis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maria Nikitidou ◽  
Fragiskos Archontakis ◽  
Athanasios Tagkalakis
Keyword(s):  
Financial Crisis ◽  
Real Estate ◽  
Structural Characteristics ◽  
House Prices ◽  
Real Estate Market ◽  
Structural Factors ◽  
Data Set ◽  
Content Type ◽  
Capital Financing ◽  
The City

Purpose This study aims to determine how the prices of residential properties in the Greek real estate sector are affected by their structural characteristics and by the prevailing economic factors during recession. Design/methodology/approach Based on 13,835 valuation reports for the city of Athens, covering a period of 11 years (2006–2016), this study develops a series of econometric models, taking into account both structural characteristics of the property market and the macroeconomic relevant variables. Finally, the city of Athens is divided into sub-regions and the different effects of the structural factors in each area are investigated via spatial analysis confirming the validity of the baseline model. Findings Findings show that the size, age, level, parking and storage space can explain the property price movements. Moreover, the authors find evidence that it is primarily house demand variables (e.g. the annual average wage, the unemployment rate, the user cost of capital, financing constraints and expectations about the future course of the house market) that affect house prices in a statistically significant manner and with the correct sign. Finally, using a difference-in-differences approach, this study finds that an increase in house demand (on account of net migration) led to higher house prices in smaller and older than in larger and younger apartments in areas with high concentration of immigrants. Originality/value This study uses a novel data set to help entities, individuals and policy-makers to understand how the recent economic and financial crisis has affected the real estate market in Athens.

Knowledge management and social entrepreneurship education: lessons learned from an exploratory two-country study

2019 ◽  
Vol 23 (10) ◽  
pp. 1984-2006 ◽  
Author(s):  
George Thomas Solomon ◽  
Nawaf Alabduljader ◽  
Ravi S. Ramani
Keyword(s):  
Knowledge Management ◽  
Social Entrepreneurship ◽  
Social Issues ◽  
Entrepreneurship Education ◽  
Growth Potential ◽  
Data Set ◽  
Content Type ◽  
Course Offerings ◽  
The Future ◽  
The Usa

Purpose Social entrepreneurship courses are among the fastest growing category of course offerings to entrepreneurship students (Brock and Kim, 2011) because both high growth potential- and steady growth-social ventures can create value and help solve social issues effectively and efficiently. As knowledge disseminators, entrepreneurship educators are in prime position to develop the knowledge, skills and abilities of students, which, in turn, increases their intentions to start a social venture and their ability to manage and grow their venture. Students gain an understanding about the role of entrepreneurship in addressing social opportunities, as well as knowledge related to starting, managing and growing social entrepreneurship ventures. This paper is divided into three parts. First, the authors broadly discuss the concept of social entrepreneurship. Second, the authors present an overview of the field of social entrepreneurship education (SEE) and its evolution. Finally, the authors supplement this review with an analytical examination of SEE, in which the authors present results of a cross-country analysis survey of over 200 entrepreneurship education programs in the USA and Canada. This paper aims to present information about: student enrollment in social entrepreneurship courses in comparison to other entrepreneurship courses; the frequency of offering social entrepreneurship courses and programs compared to other entrepreneurship courses and programs; and future trends in SEE. The results revealed a strong demand for social entrepreneurship from students, room for improvement in terms of the supply of course offerings, and a strong belief in the continued growth of social entrepreneurship. The authors conclude with suggestions about the future of SEE. Design/methodology/approach Analysis of secondary data derived from the oldest and most-frequently cited sources regarding entrepreneurship education in the USA and a novel data set examining entrepreneurship education in Canada. Both data sets were collected using an online self-report survey. Findings Demand for SEE continues to rise in both the USA and Canada. However, course and program offerings have not kept pace. Prominent trends in social entrepreneurship such as cross-campus programs and addressing the evolving demographics of students in higher education institutions need more attention. Originality/value A cross-cultural study of SEE that provides a high-level view of the state of the field today. In addition, the paper outlines the potential of the field of knowledge management for the future of SEE.

scholarly journals Translating emotional insights from hospitality employees’ comments

2018 ◽  
Vol 32 (1) ◽  
pp. 75-92 ◽  
Author(s):  
Lisa M. Young ◽  
Swapnil Rajendra Gavade
Keyword(s):  
Job Satisfaction ◽  
Sentiment Analysis ◽  
Big Data Analytics ◽  
Large Data ◽  
Hospitality Management ◽  
Data Set ◽  
Employee Survey ◽  
Content Type ◽  
Employee Job Satisfaction ◽  
The Usa

PurposeThe purpose of this paper is to use the data analysis method of sentiment analysis to improve the understanding of a large data set of employee comments from an annual employee job satisfaction survey of a US hospitality organization.Design/methodology/approachSentiment analysis is used to examine the employee comments by identifying meaningful patterns, frequently used words and emotions. The statistical computing language, R, uses the sentiment analysis process to scan each employee survey comment, compare the words with the predefined word dictionary and classify the employee comments into the appropriate emotion category.FindingsEmployee responses written in English and in Spanish are compared with significant differences identified between the two groups, triggering further investigation of the Spanish comments. Sentiment analysis was then conducted on the Spanish comments comparing two groups, front-of-house vs back-of-house employees and employees with male supervisors vs female supervisors. Results from the analysis of employee comments written in Spanish point to higher scores for job sadness and anger. The negative comments referred to desires for improved healthcare, requests for increased wages and frustration with difficult supervisor relationships. The findings from this study add to the growing body of literature that has begun to focus on the unique work experiences of Latino employees in the USA.Originality/valueThis is the first study to examine a large unstructured English and Spanish text database from a hospitality organization’s employee job satisfaction surveys using sentiment analysis. Applying this big data analytics process to advance new insights into the human capital aspects of hospitality management is intriguing to many researchers. The results of this study demonstrate an issue that needs to be further investigated particularly considering the hospitality industry’s employee demographics.

Entrepreneurial Innovation Management: the joint Italy–Colombia master’s degree

2020 ◽  
Vol 34 (1) ◽  
pp. 70-80
Author(s):  
Maddalena della Volpe
Keyword(s):  
Information Technologies ◽  
Master's Degree ◽  
Innovation Management ◽  
Computer Engineering ◽  
Interdisciplinary Training ◽  
Data Set ◽  
Content Type ◽  
Master’S Degree ◽  
Entrepreneurial Innovation ◽  
Set Up

Purpose The purpose of this paper is to acknowledge the value of joint educational entrepreneurship programs: universities impact on economic growth by building collaborative networks in order to encourage innovation through interdisciplinary training schemes. The case of the master’s degree in Entrepreneurial Innovation Management, set up jointly by the University of Salerno and the Universidad Católica de Pereira, is presented. Design/methodology/approach In order to conduct a competitive market analysis, the latest data on master’s degrees in economics and information technologies management have been collected by means of a scraping procedure in order to build a data set for analysis. The authors have considered the masters’ degrees offered in Bogotá, where most universities of Colombia are located. Findings The data point out that current master’s degree courses do not recognize the importance of interdisciplinary training, which is in great demand in the world of work: economics and computer science never run together and rarely do universities collaborate within a network to set up joint programs. Practical implications The entrepreneurial culture could yield economic and social benefits by training students for a dynamic, global and increasingly digital job market. The case study represents a first step in building a network, which could be extended to other countries in the future. Originality/value The originality of the study lies in the proposal of a joint Italy–Colombia master’s degree, which is set up within a higher education network and may prove useful in creating job opportunities in both countries involved. Moreover, the learning path balances two traditionally separated disciplinary fields: economics and computer engineering.

R&D volatility and market value: the role of executive overconfidence

2019 ◽  
Vol 14 (2) ◽  
pp. 411-431
Author(s):  
Benlu Hai ◽  
Qingzhu Gao ◽  
Ximing Yin ◽  
Jin Chen
Keyword(s):  
Business Performance ◽  
Positive Impact ◽  
Market Value ◽  
Data Set ◽  
Content Type ◽  
Dynamic Perspective ◽  
Innovation Strategies ◽  
The Impact ◽  
The Relationship

Purpose Significant increase or decrease in research and development (R&D) expenditure may have an immense impact on market value. Based on the punctuated equilibrium theory, this paper aims to empirically analyze the impact of R&D volatilities on market value and the moderating effect of executive overconfidence. Design/methodology/approach The study uses the panel data set that covers 902 Shanghai and Shenzhen A-share manufacturing listed firms and multiple regression method to test the theoretical hypotheses. Findings The results show that both positive and negative R&D volatilities have a robust and significant positive impact on the market value. Further analysis shows that the executive overconfidence positively moderates the relationship between R&D volatilities and market value. Research limitations/implications In a rapidly changing and highly competitive environment, firms should recognize that the balance of innovation strategies will help to bring higher market value. Furthermore, firms could improve corporate governance to make the best of managerial characteristics, such as overconfidence, on the innovation decision-making process. Originality/value By pushing the static perspective to a dynamic perspective and empirically documenting the role of executive overconfidence, this study contributes to the literature on the relationship between R&D expenditure and market value, generating theoretical and practical insights for firms to improve innovation governance and innovation strategies to achieve better business performance.

How does the estate tax affect the number of firms?

2014 ◽  
Vol 3 (1) ◽  
pp. 96-117 ◽  
Author(s):  
Pavel A. Yakovlev ◽  
Antony Davies
Keyword(s):  
Small Firms ◽  
State Level ◽  
Small Business Owners ◽  
Tax Burden ◽  
Estate Tax ◽  
Content Type ◽  
The Usa ◽  
The Rich ◽  
The Impact ◽  
Number Of Firms

Purpose – The purpose of this paper is to estimate the effect of the combined (Federal and state) estate, inheritance, and gift (EIG) tax burden per decedent on the number of firms in the USA. Design/methodology/approach – Estimates are based on a longitudinal panel of 50 American states from 1988 to 2006. Findings – The paper finds that the growth in the EIG tax burden per decedent significantly reduces the growth in the number of firms, especially small firms. The higher dissolution rate among small firms can be attributed to the asymmetric liquidity effect, which limits the ability of small business owners to raise the funds needed to pay the estate tax without liquidating their estates. Practical implications – The estimates suggest that the reductions in EIG taxes, brought about by the passage of 2001 EGTRRA, have lead to a higher growth in the number of firms, ceteris paribus. Social implications – As of this writing, the future of the Federal estate tax looks uncertain. Policymakers should note that the estate tax lowers competition and economic growth, which hurts both the poor and the rich. Originality/value – This study is the first to examine the impact of the combined (Federal and state) EIG tax burden on the number of firms using state-level panel data.

An analysis of operating expense control within US multifamily properties

2017 ◽  
Vol 35 (1) ◽  
pp. 48-66 ◽  
Author(s):  
Andrew Carswell
Keyword(s):  
Explanatory Variable ◽  
Rental Housing ◽  
Positive Association ◽  
Individual Investors ◽  
Property Management ◽  
Property Market ◽  
Data Set ◽  
Content Type ◽  
Operating Income ◽  
The Usa

Purpose The purpose of this paper is to determine the effect that ownership and management structures have on ability to control operating expenses. For individual investors, intensity of management experience is also explored as a possible explanatory variable for operating expenses. For property management services that are contracted out, the level of the fee is investigated as a possible cause for movements in operating expenses as well. Finally, operating expenses are used as a possible explanatory variable for a property’s lease-up performance during the year. Design/methodology/approach The analysis consists of a series of regression models performed on data provided by the 2012 Rental Housing Finance Survey (RHFS) in the USA. The RHFS is a unique data set that covers a wide degree of information on multifamily properties. The RHFS represents 2,260 properties in total, and covers various aspects of the apartment industry, including financing and operational cost measures. Control variables used as independent variables include number of units, year of property acquisition, and age of building. Findings Individual ownership and self-management proved to be statistically significant drivers in driving down log operating expenses. Hours spent by individuals performing property management roles on their own properties had a slightly positive association with operating expenses. For professional managers, the fees devoted solely to the manager or management company had a highly significant and positive effect on other operating costs. Finally, when separating out the individual components of operating expenses, only two variables had significant effects on tenant lease-ups: management expenses (positive) and security expenses (negative). Research limitations/implications The data set is potentially biased toward those properties with less than 100 units, and thus it would be problematic to assume that these findings are generalizable to the population at large. There are also no geographic coding indicators within the RHFS data set, which eliminates the potential to control for various market factors and rural/urban differences. Practical implications The research provides an understanding of some of the basic factors behind increases in operating expenses, which ultimately has implications for performance benchmarks such as net operating income and property market value. Social implications The reasonable controlling of operating expenses ultimately has potentially positive implications for low- to moderate-income populations, who would ultimately experience lower rents as a result. Originality/value This research represents one of the first known uses of the RHFS database.

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