Option-based compensation: a survey

Despite empirical research and theoretical validity, there is mixed evidence on whether employee stock options align interests between management and shareholders by turning managers into owners. What used to be a functional tool introduced in the 1950s, has gotten out of hand, as perceived by the press and popular literature. The main catalyst is the accounting treatment stock options receive. This paper provides an overview of the empirical research in the field and discusses the current accounting treatment of employee stock options and impending changes. We conclude by proposing alternative compensation tools.     

Logics,Leaders, Lab Coats: A Multi‐Level Study on How Institutional Logics are Linked to Entrepreneurial Intentions in Academia

Situated in the context of academia, this study integrates ideas from institutional theory, person‐environment fit theory and leadership research to conceptualize and examine the cross‐level link between the organizational‐level institutional logic of research commercialization and the entrepreneurial intentions of researchers. Multi‐level analyses based on a sample of 254 researchers working for 85 research group leaders in 49 German research institutes reveal that two distinct attributes of research group leaders – that is, their track records of entrepreneurial behaviour and their entrepreneurial intentions – play a significant role in transmitting the organizational‐level logic to the individual level. We also observe a complementary interaction between organizational‐level commercialization logic and the entrepreneurial track records of leaders. We discuss how these findings advance our understanding of science commercialization through academic entrepreneurship and how they inform institutional theory and theory development in other domains of entrepreneurship research.     

Lebanon: From cataclysm to opportunity—Crisis management lessons for MNCs in the tourism sector of the Middle East

Lebanon is a complex country of extraordinary promise; often thrust into crisis, including recent military assaults, terrorist attacks and bombings. The authors share findings from a longitudinal field-study of the evolving political and business climate of Lebanon, emphasizing a particular MNC that is thriving amidst social, ideological and political conflicts. A synthesis of primary and secondary data revealed the InterContinental Phoenicia hotel as a model institution in the face of extreme crisis. Key managerial insights that can be helpful to investors, MNCs and managers in the Middle East and other places subjected to similarly extreme conditions are shared.     

Output gap measurement and the New Keynesian Phillips curve for China

The New Keynesian Phillips curve implies that the output gap, the deviation of the actual output from its natural level due to nominal rigidities, drives the dynamics of inflation relative to expected inflation and lagged inflation. This paper exploits the empirical success of the New Keynesian Phillips curve in explaining China's inflation dynamics with a new measure of the output gap. We estimate the output gap using the Bayesian multivariate Beveridge–Nelson decomposition method, based on a multivariate dynamic model featuring distinct interactions among inflation, money, and real output in China. The empirical results using quarterly data spanning 1979–2010 show that the new measure of the output gap outperforms the traditional measures in fitting the New Keynesian Phillips curve. This result provides useful insights for inflation dynamics and monetary policy analysis in China.     

Technology evaluation in Taiwan's technology industries: Strategies, trajectories, and innovations

Technology evaluation, as an organizational process, is the essential ability to comprehend the values of technologies very soon after they emerge. Meanwhile, the technology evaluation process is inevitably influenced by the firm's industrial context, such as its technological trajectory. This study defines technology evaluation strategy in terms of the processes, methods, and participants involved, and uses this definition as a taxonomy to explore different types of technology evaluation strategies. A survey on the technological industries is conducted to explore types of technology evaluation strategies and their relationships with the advantages of different types of innovation under the effects of different technological trajectories. The survey identifies four types of technology evaluation strategies, namely, those of the flexible executive strategist, the emergent executive intuitionist, the deliberate quantitative strategist, and the deliberate consensual strategist, are identified. This study has found that certain types of technology evaluation strategies have better innovation performances than the others. The patterns of technological trajectories are also found to influence a firm's technology evaluation strategy and the advantages of certain types of innovations. The established explanations of the relationships among the technological trajectory, innovation type, and technology evaluation strategies may guide technology businesses to develop a better technology evaluation capability. The theoretical framework developed in this research enriches the strategic management literature with a new taxonomy for technology evaluation strategies.     

Superexponential long-term trends in information technology

Moore's Law has created a popular perception of exponential progress in information technology. But is the progress of IT really exponential? In this paper we examine long time series of data documenting progress in information technology gathered by [1]. We analyze six different historical trends of progress for several technologies grouped into the following three functional tasks: information storage, information transportation (bandwidth), and information transformation (speed of computation). Five of the six datasets extend back to the nineteenth century. We perform statistical analyses and show that in all six cases one can reject the exponential hypothesis at statistically significant levels. In contrast, one cannot reject the hypothesis of superexponential growth with decreasing doubling times. This raises questions about whether past trends in the improvement of information technology are sustainable.     

Exploring the knowledge spillovers of a technology in an entrepreneurial ecosystem—The case of artificial intelligence in Sydney

New knowledge presents opportunities for commercial value and can hence be a critical asset for entrepreneurial ecosystems (EEs). In particular, general purpose technologies are major drivers of entrepreneurship. Thus, a nuanced understanding on technological knowledge and its spillovers among actors within an EE is warranted. Using knowledge‐spillover‐based strategic entrepreneurship theory, we propose to observe knowledge spillovers through the assessment of the knowledge bases of a technology in an EE. To do so, this article proposes to use three key sources of knowledge: publications reflecting the emerging knowledge base, patents representing the realized knowledge base, and startups showing the experimental knowledge base. This article uses secondary data sources such as Web of Science and applies the method of bibliometrics to illustrate how an assessment is carried out in practice by evaluating the artificial intelligence (AI) knowledge bases in Sydney from 2000 to 2018. The findings are summarized with an illustration of the evolution of the key actors and their activities over time in order to indicate the key strengths and weaknesses in Sydney's AI knowledge among the different bases. Contrary to expectations from the high potential of knowledge spillovers from a general purpose digital technology such as AI, the article shows that apparent knowledge spillovers are yet highly limited in Sydney. Even though Sydney has a strong emerging knowledge base, the realized knowledge base seems weak and the experimental knowledge base is slowly improving. That observation itself verifies the need to take strategic actions to facilitate knowledge spillovers within EEs. After the implications for theory and policy makers are discussed, suggestions for further studies are proposed.     

On the determinants of household debt maturity choice

This article jointly analyses a behavioural and a cultural concept to explain household debt portfolio choice. The behavioural approach explores the role of time preferences on household debt maturity in a theoretical model and a numerical analysis. We derive a positive relationship between the long-term discount factor δ and the optimal maturity of household loans. The cultural approach examines whether national culture is a reasonable predictor for household debt maturity. We show that culture is an important factor for households’ borrowing decisions and has even more predictive power than time preferences. Countries with higher scores on the Hofstede dimension of long-term orientation tend to have shorter household debt maturity. Time preferences incur a primarily mediating role, because the effect of national culture on the borrowing decision is reduced, as the long-term discount factor δ increases.     

Law and finance: why does legal origin matter?

This paper assesses empirically two theories of why legal origin influences financial development. The political channel stresses that legal traditions differ in the priority they give to the rights of individual investors vis-à-vis the state and this has repercussions for financial development. The adaptability channel holds that legal traditions differ in their ability to adjust to changing commercial circumstances and legal systems that adapt quickly will foster financial development more effectively. We use historical comparisons and cross-country regressions to assess the validity of these two channels. We find that legal origin matters for financial development because legal traditions differ in their ability to adapt efficiently to evolving economic conditions. Journal of Comparative Economics 31 (4) (2003) 653–675.     

On the forecasting of the challenging world future scenarios

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.