Does Stock Market Liberalisation Benefit The Economy? Evidence From Industry-Level Data

The paper examines the impact of stock market liberalisation on four industry-level economic variables, i) growth in real value added, ii) growth in real wages per worker, iii) growth in the number of employees and iv) growth in the number of firms using data on 18 developing countries for the period between 1981 - 2000. Genetic programming methodology is used to determine the liberalisation dates. Results from difference-in-differences regression indicate that stock market liberalisation has minimal impact on the growth of real value added. On the other hand, growth rates of real wages per worker, number of employees and number of firms are significantly higher for most countries after stock market liberalisation.stock market liberalisation, genetic programming, difference- indifferences regression

The role of social capital in expanding retail platform ecosystems

In the past few years, the discussion on platform ecosystems has become pervasive in strategy and information system research. Previous studies underlie the transformational nature of digital infrastructure in expanding the ecosystem. In this paper, the authors focus on the retail sector, where online retail platform owners such as Amazon and Alibaba are contending for ecosystem members and expanding by making them more physical. As ecosystem members have traditionally coordinated their network activities and resources embedded in an enabling social context, this study aims to investigate the influence of preexisting social capital possessed by ecosystem members on expansion of retail platform ecosystems. This dimension has received little attention thus far. Based on some conceptual basis discussed by extant literature and some preliminary empirical findings through our case study on Alibaba Lingshoutong (LST), a growing retail platform ecosystem, we have proposed some future research directions. © Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020. All rights reserved

Unsteady Pressure Measurement Of NACA 0018 Undergoing Pure Pitching Motion At Different Pitch Amplitudes

An experimental investigation of the unsteady pressure measurement of a 2D NACA 0018 airfoil oscillating in pitch motion was performed by using pressure transducers at open-circuit wind tunnel. In the case of study, the wind tunnel testing was conducted in low flight regimes

On Optimal Neighbor Discovery

Mobile devices apply neighbor discovery (ND) protocols to wirelessly initiate a first contact within the shortest possible amount of time and with minimal energy consumption. For this purpose, over the last decade, a vast number of ND protocols have been proposed, which have progressively reduced the relation between the time within which discovery is guaranteed and the energy consumption. In spite of the simplicity of the problem statement, even after more than 10 years of research on this specific topic, new solutions are still proposed even today. Despite the large number of known ND protocols, given an energy budget, what is the best achievable latency still remains unclear. This paper addresses this question and for the first time presents safe and tight, duty-cycle-dependent bounds on the worst-case discovery latency that no ND protocol can beat. Surprisingly, several existing protocols are indeed optimal, which has not been known until now. We conclude that there is no further potential to improve the relation between latency and duty-cycle, but future ND protocols can improve their robustness against beacon collisions.Comment: Conference of the ACM Special Interest Group on Data Communication (ACM SIGCOMM), 201

The role of social capital in expanding retail platform ecosystems

In the past few years, the discussion on platform ecosystems has become pervasive in strategy and information system research. Previous studies underlie the transformational nature of digital infrastructure in expanding the ecosystem. In this paper, the authors focus on the retail sector, where online retail platform owners such as Amazon and Alibaba are contending for ecosystem members and expanding by making them more physical. As ecosystem members have traditionally coordinated their network activities and resources embedded in an enabling social context, this study aims to investigate the influence of preexisting social capital possessed by ecosystem members on expansion of retail platform ecosystems. This dimension has received little attention thus far. Based on some conceptual basis discussed by extant literature and some preliminary empirical findings through our case study on Alibaba Lingshoutong (LST), a growing retail platform ecosystem, we have proposed some future research directions. © Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020. All rights reserved