Search results

After validation of the numerical model against published laser doppler anemometry (LDA) experimental data (Pitcher et al., 2003), numerical calculations have been carried out to investigate the in-cylinder transient flow structure of a controlled auto-ignition (CAI) engine running at speeds of 1,500 rpm and 2,000 rpm. The geometry configuration of the engine is imported into the computational fluid dynamics (CFD) code used in this study. The simulations take into account the movement of the inlet, exhaust valves and the piston. To simulate an engine in controlled auto-ignition (CAI) mode, the same valve timing that allows 36% gas residuals was applied to the model. The evolution of the flow pattern inside the cylinder at the symmetrical cross section is described. Also, the turbulence intensity (TI), the turbulent kinetic energy (TKE) and turbulent dissipation rate (TDR) are described for a better understanding of the effect of engine speed on the turbulences generated. The effects of engine speed on fresh charge velocity are also revealed.

The purpose of this paper is to study the pattern of long-run performance of small and medium enterprises (SMEs) initial public offerings (IPOs) and examine the firm- and issue-related determinants of long-run performance of SME IPOs in India.

The 3 6, 9 and 12 months share returns of Indian SME IPOs is studied using event time methodologies, i.e. buy and hold returns, cumulative abnormal returns and wealth relatives on a sample of 375 SME IPOs issued during February 2012 to May 2018. Additionally, ordinary least square regression has been used to investigate the determinants of long-run performance of SME IPOs on a reduced sample of 104 because of non-availability of price observations.

The findings reveal that Indian SME IPOs exhibit long-run overperformance contradicting the international evidences of underperformance, and this overperformance is significantly evident using buy and hold abnormal return (BHAR). Furthermore, based on the divergence of opinion hypothesis, fads theory and windows of opportunity hypothesis, the results reveal that on one hand, issue size and oversubscription negatively affect BHAR, while on the other hand, auditor reputation, underwriter reputation, hot market, underpricing, inverse of issue price, profits prior to listing positively affect long-run performance. However, firm age, firm size, debt equity ratio, volatility and long-run performance computed through BHAR lacks significant relationship.

The study relied on event time methodology of measuring aftermarket performance of one year because of the limited availability of price offerings. Hence, the study could be extended to analyze aftermarket returns over a period of three to five years to enable reaching the vivid conclusions. Calendar time methodology may also be used to compute abnormal returns.

The results based on the study provides an implication to the investors by providing them an opportunity to bank higher long-run returns by engaging in active and timely trading strategies. Nevertheless, the results also show that investors should be cautioned while taking investment decisions.

The study contributes to rising body of international literature by analyzing the larger and recent sample of IPOs issued from 2012 to 2018 listed on SME exchange.

This case aims to describe what innovation looks like and how it works in Fidelity Investments, a financial services organization that is large and decentralized.

The case looks at how the firm's internal consultants introduced idea‐management systems, idea‐management contests, design thinking, open innovation, innovation tools, coaching and mentoring and new innovation processes

The study show that internal consultants made progress by demonstrating that different ways of thinking through business problems could lead to better solutions without making a huge investment of resources – people, time, and budget.

The implementation results findings are based on first‐hand reporting by the author.

The combination of internal consultants and business unit champions learned to create a home for innovation that focuses and leverages impact.

This case explains how the internal consulting unit charged with disseminating innovation processes developed the trust and cooperation of the company business units.

Numerical calculations have been carried out to investigate the in-cylinder transient flow structure of a controlled auto-ignition (CAI) engine running at speeds of 1500 rpm and 2000 rpm. The calculated turbulent flow structure and velocities are validated against published laser doppler anemometry (LDA) experimental data (Pitcher et al., 2003). The experimental data was reprocessed to represent the time dependent mean velocities for all measured points. The actual geometry configuration of the engine is imported into the computational fluid dynamics (CFD) code used in this study. The simulations take into account the movement of the inlet, exhaust valves and the piston. The CFD simulations replicate the experimental work where only air was inserted into a driven optical engine. Also, to simulate an engine in controlled auto-ignition (CAI) mode, the same valve timing that allows 36% internal exhaust gas recirculation (IEGR) was applied for the air intake. The calculated results found to agree well with the LDA measurements with an overall agreement of 75.06% at 1500 rpm and 73.42% at 2000 rpm.

Numerical calculations have been carried out to investigate the in-cylinder transient flow structure of a controlled auto-ignition (CAI) engine running at speeds of 1,500rpm and 2,000rpm. The calculated turbulent flow structure and velocities are validated against published laser doppler anemometry (LDA) experimental data. The experimental data were re-processed to represent the time dependent mean velocities for all measured points. The actual geometry configuration of the engine is imported into the computational fluid dynamics (CFD) code used in this study. The simulations take into account the movement of the inlet, exhaust valves and the piston. The CFD simulations replicate the experimental work where only air was inserted into a driven optical engine. Also, to simulate an engine in controlled auto-ignition (CAI) mode, the same valve timing that allows 36% internal exhaust gas recirculation (IEGR) was applied for the air intake. The calculated results are found to agree well with the LDA measurements with an overall agreement of 75.06% at 1,500 rpm and 73.42% at 2,000 rpm.

As the world began to witness an unprecedented rate of environmental destruction, economists and international institutions have been toiling away for decades, making every effort to dissect the dynamics of the relationship between the environment and the economy. Many claims have preached that there is a trade-off between environmental wellbeing and economic prosperity, where economic growth would be hindered by environmental protection. As we continue to neglect nature, will the world be capable of maintaining infinitely growing economies without falling into a deficit of natural resources? The foundation of all forms of economic growth springs from nature. Therefore, this study aims to explore the true impact of environmental protection policies on economic performance, and claims that well-designated environmental policies would only strengthen economies.

This study aims to investigate the impact of environmental protection policies on gross domestic product (GDP) growth utilizing a selected sample of 18 OECD countries. Fixed effects panel regression was conducted for the sample from 1998 to 2015.

Findings suggest that an increase in the environmental protection stringency is associated with an increase in GDP in the long-run. Whereas in the short run, more stringent environmental policies have been shown to have a questionable impact on GDP, brought to light by the mixed results portrayed in the short-run data.

While it is true that this study has utilized data from the The Organisation for Economic Co-operation and Development (OECD), the findings could be applicable to countries of the MENA region. This is due to the fact that GDP levels of OECD countries and Middle East and North African (MENA) countries have been converging over the past few decades. The convergence suggests that both regions seem to be following similar trends since the year 1990, with an increasing similarity in trend over the years.

This paper empirically proves that the protection of nature is necessary for the sustenance of long-term economic growth. This study also provides an approximate time range of when the economic gains of environmental protection would be realized, specifically in the beginning of a green growth transition. This makes the study findings accurately relevant to Arab countries, where providing a time range is necessary to alleviate some the uncertainty of policymakers in the MENA region towards environmental policies.

Over the last several decades, businesses have faced mounting pressures from diverse stakeholders to alter their corporate operations to become more socially and environmentally responsible. In turn, many firms appear to have responded by implementing more sustainable practices — measuring, documenting, and publishing annual CSR or sustainability reports to showcase how they are addressing important issues in this area, including: resource stewardship, waste management, greenhouse gas emission reductions, fair and safe labor practices, amongst other stakeholder concerns. And yet, research in this domain has not yet systematically examined whether businesses have, on the whole, changed their practices in tandem with the important changes in its institutional context over time. Have corporate CSR initiatives, in fact, been growing over the last 25 years or has the increased attention to CSR actually been much ado about nothing? In this chapter, we review the empirical literature on CSR to uncover that common measures of CSR such as the KLD do not support the concept that CSR practices have increased substantively over the last 25 years. We supplement this historical review by modeling the growth curves of CSR implementation in practice and find that the pace of positive change has indeed been glacial. More alarmingly, we also look at corporate social irresponsibility (CSiR) and find that, contrary to expectations, businesses have become more, not less, irresponsible during this same time period. Implications of these findings for theory are presented as are suggestions for future research in this domain.

This paper has two main purposes. First, this paper aims to examine whether pre-initial public offering (IPO) franchising activity of issuing firms is priced in the financial markets and results in pricing differential between franchising and non-franchising firms at the time of IPO. Second, the paper aims to find out whether firms with pre-IPO franchising achieve better post-IPO stock performance compared to non-franchising firms.

To test research hypotheses, empirical models were developed and tested through ordinary least square regression analysis. Several data sources were used including Thomson One Banker’s SDC database, Compustat/CRSP and IPO prospectuses.

The paper provides further insights to the underpricing phenomenon surrounding IPOs and long-run performance of IPO shares subsequent to listing. Particularly, the study reveals that franchising firms underprice their issues to a higher degree compared to non-franchising firms, and franchising positively affects the post-IPO benchmark adjusted cumulative abnormal returns (CARs) over a three-year observation period.

Because the study tests the proposed hypotheses using data only from the restaurant industry, the research results may lack generalizability. Therefore, researchers are encouraged to test similar hypotheses using larger sample sizes from other industries.

The study’s findings have important implications both for IPO issuers in positioning their offering and for IPO investors in comparing IPO stocks and forming long-run portfolios.

This paper contributes both to the IPO and franchising literatures by providing primary insights about how investors perceive pre-IPO franchising and incorporate their perception into their pricing at an IPO.

Mashups have been studied extensively in the literature; nevertheless, the large body of work in this area focuses on service/data level integration and leaves UI level integration, hence UI mashups, almost unexplored. The latter generates digital environments in which participating sources exist as individual entities; member applications and data sources share the same graphical space particularly in the form of widgets. However, the true integration can only be realized through enabling widgets to be responsive to the events happening in each other. The authors call such an integration “widget orchestration” and the resulting application “mashup by orchestration”. This article aims to explore and address challenges regarding the realization of widget‐based UI mashups and UI level integration, prominently in terms of widget orchestration, and to assess their suitability for building web‐based personal environments.

The authors provide a holistic view on mashups and a theoretical grounding for widget‐based personal environments. The authors identify the following challenges: widget interoperability, end‐user data mobility as a basis for manual widget orchestration, user behavior mining – for extracting behavioral patterns – as a basis for automated widget orchestration, and infrastructure. The authors introduce functional widget interfaces for application interoperability, exploit semantic web technologies for data interoperability, and realize end‐user data mobility on top of this interoperability framework. The authors employ semantically enhanced workflow/process mining techniques, along with Petri nets as a formal ground, for user behavior mining. The authors outline a reference platform and architecture that is compliant with the authors' strategies, and extend W3C widget specification respectively – prominently with a communication channel – to foster standardization. The authors evaluate their solution approaches regarding interoperability and infrastructure through a qualitative comparison with respect to existing literature, and provide a computational evaluation of the behavior mining approach. The authors realize a prototype for a widget‐based personal learning environment for foreign language learning to demonstrate the feasibility of their solution strategies. The prototype is also used as a basis for the end‐user assessment of widget‐based personal environments and widget orchestration.

The evaluation results suggest that the interoperability framework, platform, and architecture have certain advantages over existing approaches, and the proposed behavior mining techniques are adequate for the extraction of behavioral patterns. User assessments show that widget‐based UI mashups with orchestration (i.e. mashups by orchestration) are promising for the creation of personal environments as well as for an enhanced user experience.

This article provides an extensive exploration of mashups by orchestration and their role in the creation of personal environments. Key challenges are described, along with novel solution strategies to meet them.