A reexamination of state fiscal health and amnesty enactment

We use event history analysis to separately model a state’s first and then repeated tax amnesties and test the revenue yield versus the fiscal stress hypotheses using a panel of annual data from all 50 states for the period 1982–2010. We also split our sample into two sub-periods, 1982–1988 and 1989–2010, to more easily compare our results to other studies and to see if there is a significant difference between early tax amnesties and more recent ones. We find that state fiscal stress is more important than the potential yield from an amnesty, particularly for more recent amnesties. Our findings contrast with the existing literature which found evidence that states are likely to enact tax amnesties due to a revenue yield motive rather than a fiscal stress motive.     

WHO BENEFITS FROM JOB CORPS? A DISTRIBUTIONAL ANALYSIS OF AN ACTIVE LABOR MARKET PROGRAM

Using recently developed econometric techniques to estimate quantile treatment effects (QTE) and experimental data, we examine the impact of Job Corps on earnings distribution. Our results indicate a great deal of heterogeneity in the effects of Job Corps. The QTEs show an increasing pattern along the earnings distribution, with much more pronounced differences at the upper quantiles for males, whites, and ages 20–24. Moreover, we find the QTEs to be very small at quantiles below the median for males, ages 16–17 and 18–19, and non‐resident students. We propose strong economic conditions and skill hypotheses to explain the heterogeneity observed over the earnings distribution. Copyright © 2013 John Wiley & Sons, Ltd.     

No escape from the dominant theories: The analysis of intellectual pillars of technology management in developing countries

This paper aims to identify the intellectual bases of the technology management (TM) literature generated in developing countries using citation and co-citation analyses and answer the question of whether the intellectual bases of the TM literature created by authors in developing countries diverge from those of the global TM literature. Based on a comprehensive bibliometric analysis of ten technology-innovation management (TIM) specialty journals through the period of 1998-2007, this study produces three important findings. First, the TM literature generated in developing countries is dominated by the knowledge and theories created in developed countries. Second, among these knowledge sources some authors from developing countries and focusing on the specialties of developing countries, such as Kim and Lall, come into prominence; however these authors are not even mentioned in the previous bibliometric studies covering overall TM research. Finally the researchers in developing countries tackle with the issues or topics specific to their own context through combining three major bulks of literature. These are (i) resource-based view (RBV)/core competencies and organizational learning related research; (ii) literature dealing with the evolutionary theorizing on economic change and growth and (iii) literature related to technological capabilities, technology transfer and industrialization in developing countries.     

Re-assessment of E-S-Qual and E-RecS-Qual in a pure service setting

Understanding and measuring electronic service quality including its dimensions has become crucial since a growing volume of business takes place in the cyber world. This paper focuses on measuring electronic service quality and service recovery issues by means of E-S-QUAL and E-RecS-QUAL scales in a pure service oriented setting and across a culturally different consumer group than the original scale. This research covers 2017 customers' assessment of the electronic service quality offered by 13 banks in Turkey. Findings suggest a refined and more stable version of the E-S-QUAL scale for the internet banks. Comprehensive psychometric tests also suggest that E-RecS-QUAL is an appropriate tool to evaluate online service recovery in consumer research.     

Distribution of run statistics in partially exchangeable processes

Let { X_i} _{i 3 1}{\{ X_{i}\} _{i\geq 1}} be an infinite sequence of recurrent partially exchangeable binary random variables. We study the exact distributions of two run statistics (total number of success runs and the longest success run) in { X_i} _{i 3 1}{\{ X_{i}\} _{i\geq1}} . Since a flexible class of models for binary sequences can be obtained using the concept of partial exchangeability, as a special case of our results one can obtain the distribution of runs in ordinary Markov chains, exchangeable and independent sequences. The results also enable us to study the distribution of runs in particular urn models.     

Immigrant Entrepreneurship in an Emerging Economy: The Case of Turkey

This paper examines motivations for, and paths to, entrepreneurship among immigrants in Turkey based on interviews with 22 immigrant entrepreneurs in Istanbul. Findings suggest that immigrant entrepreneurs in a developing economy may be different from their counterparts in well‐established economies. First, immigrant entrepreneurs rely on their unique human and social capital in the process of starting businesses thanks to their ability to identify opportunities based on insider knowledge of the market in their home and host countries. Second, their ability to foster trusting relationships thanks to language, cultural, and religious knowledge permits immigrant entrepreneurs in an emerging economy to engage in less economically marginal activities.     

Integrated basin management: Water and food policy options for Turkey

This paper presents a basin scale analysis of the Nilüfer River Basin of Turkey, where agricultural, urban, and environmental users compete for scarce water in an environment where climate change and food security present large and growing challenges. It presents results of a basin scale dynamic nonlinear programming model that addresses economic efficiency, climate change, and food security. Its approach can be applied to other water-stressed regions operating in environments of economic and hydrologic constraints on water use. Basin scale modeling approach provides a general framework for formulating water management policies, consistent with the principles underlying the European Union Water Framework Directive.     

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.