The Small Business Capital Market Behavior in Athens Stock Exchange

Financing small and medium enterprises (SMEs), especially business investments and growth, is a composite and particular complicated affair in the Greek entrepreneurial reality. This paper examines the significance of secondary capital markets, as an alternative source of financing small-medium enterprises’ new entrepreneurial plans. Cointegration technique is applied to test the relationship between the secondary capital market and the dominant sectors in Athens Stock Exchange (ASE). Causality tests are also used to provide evidence on the existence of interdependence between the cointegrated series. The results indicate that there is significant uni-directional causality between primary and secondary capital market in Greece, enhancing us to suggest valuable policy implications.      

Excess corporate payouts and financial distress risk

Firms that follow excessive payout policies (over-payers) are higher on the financial distress spectrum and have lower survival rates than under-payers. In addition, over-payers endure lower future sales and asset growth than under-payers and experience negative abnormal returns in the bond and stock markets. Exogenous import tariff reductions and commodity price jumps reduce the likelihood of overpayment. We interpret this as evidence consistent with financial flexibility considerations, rather than risk-shifting, explaining the decision to overpay. We also find that CEO overconfidence and catering incentives affect overpayment.     

New market socialism: a case for rejuvenation or inspired alchemy?

The aim of this paper is to examine the relative merits anddrawbacks of two recent models of market socialism proposedby Bardhan and Roemer. This is done, first, by putting thesemodels into the perspective of the history of economic thought.Thus, after presenting the basic elements of the early Langemodel as well as the Austrian and ‘new information economics’critiques, the necessary comparisons and contrasts are madeto see what new light these new models bring into this debate.In addition, the internal consistency and coherence of thesemodels is checked in terms of their own proclaimed goals. Last,a more radical methodological critique is provided.     

Unit root testing via the stationary bootstrap

A nonparametric, residual-based stationary bootstrap procedure is proposed for unit root testing in a time series. The procedure generates a pseudoseries which mimics the original, but ensures the presence of a unit root. Unlike many others in the literature, the proposed test is valid for a wide class of weakly dependent processes and is not based on parametric assumptions on the data-generating process. Large sample theory is developed and asymptotic validity is shown via a bootstrap functional central limit theorem. The case of a least squares statistic is discussed in detail, including simulations to investigate the procedure's finite sample performance.     

Differences in leadership behaviour and influence between public and private organizations in Greece

This paper aims at comparing certain managerial aspects which seem to affect and account for the differences in organizational performance between public and private organizations in Greece.

By presenting empirical evidence concerning leadership behaviour and influence in both types of organizations, it becomes apparent that leadership quality is not necessarily the problem in public organizations. A number of leadership substitutes and neutralizers such as bureaucratic controls, external political influence and the limited positive reward power which leaders seem to possess have to be removed in order to enhance the role of leadership in public sector organizations.     

Entrepreneurship and survival dynamics of immigrants to the U.S. and their descendants

Many studies have explored the determinants of entering into entrepreneurship and the differences in self-employment rates across racial and ethnic groups. However, very little is known about the survival in entrepreneurship of immigrants to the U.S. and their descendants.We adopt a modeling framework based on duration analysis, which takes into account both the fact that the stock of entrepreneurs initially observed represents a selected sample and the inability of observing in the data the exit time for some spells. Unlike previous studies, we find a lower survival probability in entrepreneurship for Mexican and other Hispanic immigrants, which does not carry on to their U.S.-born descendants. We also find that these two immigrant groups tend to enter entrepreneurship from unemployment or inactivity and they are more likely to exit towards employment in the wage sector, suggesting that entrepreneurship represents for them an intermediate step from non-employment to paid employment.     

Estimating demand with distance functions: Parameterization in the primal and dual

Our purpose is to investigate the ability of different parametric forms to ‘correctly’ estimate consumer demands based on distance functions using Monte Carlo methods. Our approach combines economic theory, econometrics and quadratic approximation. We begin by deriving parameterizations for transformed quadratic functions which are linear in parameters and characterized by either homogeneity or which satisfy the translation property. Homogeneity is typical of Shephard distance functions and expenditure functions, whereas translation is characteristic of benefit/shortage or directional distance functions. The functional forms which satisfy these conditions and include both first- and second-order terms are the translog and quadratic forms, respectively. We then derive a primal characterization which is homogeneous and parameterized as translog and a dual model which satisfies the translation property and is specified as quadratic. We assess functional form performance by focusing on empirical violations of the regularity conditions. Our analysis corroborates results from earlier Monte Carlo studies on the production side suggesting that the quadratic form more closely approximates the ‘true’ technology or in our context consumer preferences than the translog.     

User,Use & Utility Research

Business and Information Systems Engineering (BISE) is at a turning point. Planning, designing, developing and operating IT used to be a management task of a few elites in public ad-ministrations and corporations. But the continuous digitization of nearly all areas of life changes the IT landscape fundamentally. Success in this new era requires putting the human perspective – the digital user – at the very heart of the new digitized service-led economy. BISE faces not just a temporary trend but a complex socio-technical phenomenon with far-reaching implications. The challenges are manifold and have major consequences for all stakeholders, both in information systems and management research as well as in practice. Corporate processes have to be re-designed from the ground up, starting with the user’s perspective, thus putting usage experience and utility of the individual center stage. The digital service economy leads to highly personalized application systems while organizational functions are being fragmented. Entirely new ways of interacting with information systems, in particular beyond desktop IT, are being invented and established. These fundamental challenges require novel approaches with regards to innovation and development methods as well as adequate concepts for enterprise or service system architectures. Gigantic amounts of data are being generated at an accelerating rate by an increasing number of devices – data that need to be managed. In order to tackle these extraordinary challenges we introduce ‘user, use & utility’ as a new field of BISE that focuses primarily on the digital user, his or her usage behavior and the utility associated with system usage in the digitized service-led economy. The research objectives encompass the development of theories, methods and tools for systematic requirement elicitation, systems design, and business development for successful Business and Information Systems Engineering in a digitized economy – information systems that digital users enjoy using. This challenge calls for leveraging insights from various scientific disciplines such as Design, Engineering, Computer Science, Psychology and Sociology. BISE can provide an integrated perspective, thereby assuming a pivotal role within the digitized service led economy.