Investor interest, trading volume, and the choice of IPO mechanism in France

This paper investigates the relationship between underpricing and investor interest level prior to and after the IPO date. Empirical tests show a significant 3-day buy-and-hold abnormal return of 19.15%. It is positively related to the share demand-to-offer ratio in the pre-market period and to trading volume in the aftermarket. Despite a high initial underpricing for some book-built issues, the book-building procedure allows for more effective pricing and a lower divergence of opinion among investors in the aftermarket than the auction-like procedure.     

The approximate purification of mixed strategies with finite observation sets

This note provides a finite result on the approximate purification of strategies in a class of two-person games.     

Approximate equilibria in markets with indivisible commodities

This paper presents results on the existence of approximate equilibria in large but finite exchange economies in which all the traders have non-convex consumption sets. As such, the paper gives a natural extension, to the finite economy, of Mas-Colell's results on existence with indivisible commodities and a continuum of agents. It also presents an approximate equilibrium theorem without any assumption of compactness or bounded non-convexity of preferences.     

Local contexts and organizational learning for innovation in an emerging economy: the case of two Malaysian firms in Indonesia

Organizational learning for innovation is critical for the success of multinationals. In this study, we examine two multinationals and their learning and innovation, when operating in Indonesia as the host country. As research on organizational learning has largely overlooked the influence of regional contexts, we examine the role of contextual conditions of the host country with regard to its economic, political and competitive conditions, and the changing customer demands, on organizational learning and innovation. We also consider organizational learning process, taking into account organizational factors that influence such process. The implications, contributions and limitations of the study are then discussed.     

Impact of employees’ perceived threat of market competition on unethical marketing and selling practices: Moral disengagement and ethical leadership

This study draws on the social cognitive theory to examine the effect of perceived market competition on employees’ unethical marketing and selling practices. The boundary conditions associated with this relationship were examined, and we posit that perceived market competition is related to unethical marketing and selling practices through the mediating mechanism of moral disengagement. We further propose that ethical leadership moderates the relationship between the perceived threat of market competition, moral disengagement, and tendency toward unethical marketing and selling practices. We tested our hypotheses with a sample of 387 employees working in the banking sector in Pakistan. Our results suggest that moral disengagement had a full mediation effect between the perceived threat of market competition and tendency of employees toward unethical marketing and selling practices. Moreover, ethical leadership moderated the relationship between moral disengagement and the tendency of employees toward unethical marketing practices. The research findings indicate that when field employees encounter threat perceptions due to market competition, they have a propensity toward engaging in unethical marketing and selling practices when they can activate moral disengagement. This study also found that ethical leadership negatively moderates the relationship of moral disengagement with employees’ tendency toward unethical marketing and selling practices.     

Listening to the patient voice: using a sentic computing model to evaluate physicians’ healthcare service quality for strategic planning in hospitals

Online physician reviews (OPRs), also known as electronic word of mouth, have become the primary source of information for patients while making health consultation decisions. However, different techniques to analyze these reviews by machines have not been frequently applied yet in this domain. In this study, a novel method for opinion mining is being proposed to fill the existing research gap, that is, a hybrid approach to sentic computing. This approach integrates artificial intelligence and semantic web techniques to implicitly analyze OPRs in order to evaluate patient perceptions of healthcare service quality. We develop our methodology by using the following three main tasks: (1) sentence-level topic spotting (a topic-analysis procedure) to extract major topics, (2) a sentic computing framework to perform concept-level sentiment analysis (polarity detection on the categorized sentences), and (3) root cause and strengths, weaknesses, opportunities, and threats (SWOT) analyses to identify SWOT for healthcare organizations. Analyses results of 47,499 OPRs from the UK-based website (Iwantgreatcare.org) show that the proposed hybrid approach has accurately classified concept words to their corresponding topics, and it has also outperformed the similar other methods of topic extraction in the healthcare domain. The results also indicate that the proposed approach can better contribute to the overall performance analyses for healthcare organizations, which could help practitioners in improving service-quality measures based on the real voices of patients. The proposed model also provides a theoretical basis for formulating quality measures for the healthcare sector.

     

Does R&D spur productivity growth in Australia’s broadacre agriculture? A semi-parametric smooth coefficient approach

This article analyses the role of research and development (R&D) in Australia’s broadacre farming by using the semi-parametric smooth coefficient model. While the conventional production function approach only captures the direct effects of R&D, this methodology captures both the direct impact of a change in R&D on output and the indirect impact through changes in efficiency of use of factor inputs in the production process. Moreover, technical inefficiency is introduced in the model allowing it as a function of R&D. Using a unique state-level dataset covering the period 1995–2007, this empirical study finds that once both the direct and indirect effects are taken into consideration, R&D investments significantly increase outputs. The results also show that there are substantial variations in the effects of R&D on output across the state-level average farm through technology parameters as well as through technical inefficiency. Such variations need to be taken into account when designing policies for investing public R&D in agriculture.     

How effective is the Free Trade Agreement in South Asia? An empirical investigation

We investigate the efficacy of preferential trade liberalization in changing the observed trade pattern among the South Asian countries that have entered into the South Asian Free Trade Agreement (SAFTA). Although in its nascent stage, some data are now available to provide an ex-post evaluation of the performance of this bloc. Using these data, we find no empirical evidence of trade creation among SAFTA members, which is not surprising given that tariff concessions in SAFTA are small and are offset by complicated rules of origin procedure. However, a substantial and statistically significant increase in exports from SAFTA members to the rest of the world is found. Several panel strategies are used to check the sensitivity of the results against the assumptions of the estimation strategies. As some key coefficient estimates are found to differ across estimation methods, policymakers in South Asia need to use care in relying on the results from empirical studies, including our own, in formulating their trade policies.