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The venture capital syndication brings in various resources for the portfolio firms, which positively affects those firms’ performance, while conflicts within syndicates also have negative impact on the portfolio firms’ performance. This study aims to explore the two opposite effects of the venture capital syndication on the portfolio firms’ operations. Drawing on Ma et al.’s (2013) power source match perspective, the authors examine the effect of (mis)match of power source between ownership and status on the portfolio firms’ performance.

The study uses panel data from two professional databases containing information about the venture capital-backed firms in China. The fixed effect model is applied to analyze the data.

This study found that power source match in the venture capital syndicates works positively on the portfolio firms’ performance. This positive relationship is weakened when there is ownership-dominated power source mismatch present.

This study suggests that when new ventures search for venture capital, it is better to allocate greater ownership to the venture capital providers with high-status power, so that ownership power and status power can have a proper match to increase the coordination among venture capital providers, thereby helping portfolio firms perform better.

This study looks into the performance of a portfolio firm when there is power a (mis)match in a venture capital syndication, extending the current literature in this area where only the performance of the venture syndications is examined.

The presented research is carried out in reaction to the soaring costs of fuel and tight control over environmental issues such as carbon dioxide emissions and noise. The purpose of this paper is to study the feasibility of applying the environmental-friendly energy source in an unmanned aerial vehicles (UAVs) propulsion system.

Currently, the majority of UAVs are still powered by conventional combustion engines. An electric propulsion system is most commonly found in civilian micro and mini UAVs. The UAV classification is reviewed in this study. This paper focuses mainly on application of electric propulsion systems in UAVs. Investigated hybrid energy systems consist of fuel cells, Li-ion batteries, super-capacitors and photovoltaic (PV) modules. Current applications of fuel cell systems in UAVs are also presented.

The conducted research shows that hybridization allows for better energy management and operation of every energy source onboard the UAV within its limits. The hybrid energy system design should be created to maximize system efficiency without compromising the performance of the aircraft.

The presented study highlights the reduction of the energy consumption, necessary to perform the mission and maximizing of the endurance with simultaneous decrease in emissions and noise level.

The conducted research studies the feasibility of implementing the environmental-friendly hybrid electric propulsion systems in UAVs that offers high efficiency, reliability, controllability, lack of thermal and noise signature, thus, providing quiet and clean drive with low vibration levels. This paper highlights the main challenges and current research on fuel cell in aviation and draws attention to fuel cell – electric system modeling, hybridization and energy management.

The purpose of this paper is to demonstrate the impact of the welding sequence on the substrate plate distortion during the wire and arc additive manufacturing (WAAM) process. This paper also aims to show the capability of finite element simulations in the prediction of those thermally induced distortions.

An experiment was conducted in which solid aluminum blocks were manufactured using two different welding sequences. The distortion of the substrates was measured at predefined positions and converted into bending and torsion values. Subsequently, a weakly coupled thermo-mechanical finite element model was created using the Abaqus simulation software. The model was calibrated and validated with data gathered from the experiments.

The results of this paper showed that the welding sequence of a part significantly affects the formation of thermally induced distortions of the final part. The calibrated simulation model was able to capture the different distortion behavior attributed to the welding sequences.

Within this work, a simulation model was developed capable of predicting the distortion of WAAM parts in advance. The findings of this paper can be used to improve the design of WAAM welding sequences while avoiding high experimental efforts.

The paper aims to present an integrated foresight framework and method to support decision-makers who are confronted with today’s complex and rapidly changing world. The method aims at reducing the degree of uncertainty by addressing the inertia or duration of unfolding trends and by placing individual trends in a broader context.

The paper presents a three-layered framework and method for assessing megatrends based on their inertia or duration. It suggests that if long-term trends and key future uncertainties are studied in conjunction at a meta-level and placed in a broader multi-layered framework of trends, it can result in new insights.

The application of the proposed foresight method helps to systematically place a wide range of unrelated trends and key uncertainties in the context of a broader framework of trends, thereby improving the ability to understand the inertia, direction and mutual interaction of these trends.

The elaboration of identified trends and key uncertainties is partly case-specific and subject to interpretation. It is aimed at illustrating the potential use of the framework.

The paper presents a new approach that may, by itself or in combination with existing foresight methods, offer new means for anticipating future developments.

The use of the proposed framework has potential to provide better insight in the complexity of today’s rapid-changing world and the major transitions taking place. It aims to result in sharper foresight by reducing epistemic uncertainty for decision-makers.

The paper demonstrates how megatrends, Kondratieff waves and century-long trends can be placed in an integrated framework and analysed in conjunction.

This paper aims to discuss opportunities for pairing the carbon dioxide (CO₂) points of supply from stationary sources such as power plants, steel and cement production, coal to liquid plants and refineries, with potential oil reservoirs in China.

This study builds a linear optimization model to analyze the tradeoffs in developing CO₂-enhance oil recovery (EOR) projects in China for a range of policy options to match points of supply with the points of demand (oil fields). The model works on optimizing CO₂ application costs by meeting four principal components; CO₂ storage, CO₂ capture, transport costs and additional oil recovery.

This study reveals new opportunities and economic sources to feed CO₂-EOR applications and offers reasonable options to supply CO₂ for potential points of demand. Furthermore, power plants and coal to liquid industries had the most significant and economic contributions to potential CO₂-EOR projects in China. Total annual emission reduction is expected to be 10% (based on 10 Gton annual emissions). The emission reductions and potential CO₂ storage from the different industries as follow; 94% from power plants, 4% from biofuel and 2% from coal to liquid plants.

Carbon capture and storage (CCS) is one practice aiming to reduce the amounts of anthropogenic emissions of carbon dioxide emitted into the atmosphere and reduce the related social costs. However, given the relatively high cost associated with this practice, coupling it with EOR could offer a significant financial incentive to facilitate the development of CCS projects and meet climate change objectives.

The model used in this study can be straightforwardly adapted to any geographic location where industry and policymakers are looking to simultaneously reduce CO₂ emissions while increasing hydrocarbon recovery. The model is highly adaptable to local values in the parameters considered and to include additional local considerations such as geographic variation in capture costs, taxes and premiums to be placed on CO₂ capture in so-called “non-attainment zones” where pollution capture make could make a project politically and economically viable. Regardless of how and where this model is applied, it is apparent that CO₂ from industrial sources has substantial potential value as a coproduct that offsets its sequestration costs using existing, commercially available CO₂-EOR technology, once sources and sinks are optimally paired.

The purpose of this paper is to report upon high power, internally matched GaN high electron mobility transistors (HEMTs) at Ku band with 1.5 GHz bandwidth, which employ a simple and cost‐effective lossless compensated matching technique.

Two 4 mm gate periphery GaN HEMTs are parallel combined and internally matched with multi‐section reactive impedance transformers at the input and output networks. The output matching network is designed at the upper frequency of the design band for a flat power of the circuit, while the input matching network is designed at the upper frequency for a flat gain.

With the reactively compensated matching technique, the internally matched GaN HEMTs exhibit a flat saturated output power of 43.2+0.7 dBm and an average power added efficiency of 15 per cent over 12 to 13.5 GHz.

This paper provides useful information for the internally matched GaN HEMTs.

The current study aims to examine the joint impact of consumers' need for status (NFS), celebrity's star power and consumer-celebrity image match on consumers' attitudes toward the celebrity endorsement.

A factorial design was employed to test the research model. Consumer-celebrity image match was manipulated, and consumers' NFS and celebrity's star power was captured using existing measurement scales. A total of 365 responses were collected via Qualtrics. Hayes's (2013) PROCESS procedure was used to analyze the data and test hypotheses.

Results indicate that consumers with high (vs low) NFS have more favorable attitudes toward the endorsed brand. More importantly, consumers high in NFS, in an endorsement where celebrity-consumer image matches, have more favorable attitudes toward the brand endorsed by a celebrity with more (vs less) star power. In contrast, in an endorsement where celebrity-consumer image mismatches, they react the same regardless of the endorser's star power.

This study offers suggestions to hospitality marketing professionals in strategically using celebrity endorsers in their marketing campaigns and strategies that allows firms to further formulate positive and enduring brand images while encouraging favorable consumer behaviors.

While most hospitality studies have focused on the traits of celebrity endorsers, little attention has been paid to the impact of consumers' characteristics on celebrity endorsement. This study advances the growing literature on hospitality celebrity endorsement by providing empirical evidence to delineate the relationship among celebrities, endorsed brands and consumers.

Computer matching is a mass surveillance technique involving the comparison of data about many people, which have been acquired from multiple sources. Its use offers potential benefits, particularly financial savings. It is also error‐prone, and its power results in threats to established patterns and values. The imperatives of efficiency and equity demand that computer matching be used, and the information privacy interest demands that it be used only where justified, and be subjected to effective controls. Provides background to this important technique, including its development and application in the USA and in Australia, and a detailed technical description. Contends that the technique, its use, and controls over its use are very important issues which demand research. Computing, telecommunications and robotics artefacts which have the capacity to change society radically need to be subjected to early and careful analysis, not only by sociologists, lawyers and philosophers, but also by information technologists themselves.

The aim of the research was to find a structure of the power electronics controlled current source with extended pass band, which would better match a source output current within an input (reference) signal. Also, pulse modulation components in output current of current source should be minimized.

The power electronics controlled current source utilizes both, the concept of the inductor with variable (controlled) inductance located at the output of an inverter and the concept of the multi‐channel (interleaved) inverter. The small signal (linear) and simulation models of an active filter have been investigated.

The work presents the concept of 1‐phase active shunt filter with utilization of the power electronics current source about extended pass‐band.

The research should be continued to achieve stability of the electrical system with variable parameters of the power network and receiver.

The research will be continued towards realization of a laboratory model of a 3‐phase active shunt filter with the DSP based control module.

Social implications are difficult to determine.

The paper presents a new concept of the precision power electronics controlled current source with the extended pass‐band. The controlled current source is the fundamental block of a power electronics active shunt filter.