Greening hotels: does motivating hotel employees promote in-role green performance? The role of culture

In the new global economy, environmentally friendly policies have become a central issue for firms. The increasing attention given to the benefits of those policies has prompted research on the development of environmental management systems that encourage employees to engage in environmental activities. However, there is limited evidence concerning the relationship between employee motivation and employees’ in-role green performance, in addition to the potential impact of culture and organizational citizenship behavior for the environment. Through a quantitative study of 301 managerial and non-managerial employees working in three- to five-star hotels, this study makes a major contribution by demonstrating that practices aimed at motivating hotel employees (e.g. green reward and performance management) are significantly linked with employees’ in-role green performance and organizational citizenship behavior for the environment. The findings also indicate that the influence of green rewards on employees’ in-role green performance and organizational citizenship behaviors for the environment is stronger when hotels are managed by Western corporations. Conversely, the study showed that the effect of green performance management on these two dependent variables is not moderated by culture. This article supports efforts to widen national cultural perspectives in the development and application of green human resource management

Solving Differential-Algebraic Equations in Power Systems Dynamics with Quantum Computing

Power system dynamics are generally modeled by high dimensional nonlinear differential-algebraic equations due to a large number of generators, loads, and transmission lines. Thus, its computational complexity grows exponentially with the system size. In this paper, we aim to evaluate the alternative computing approach, particularly the use of quantum computing algorithms to solve the power system dynamics. Leveraging a symbolic programming framework, we convert the power system dynamics' DAEs into an equivalent set of ordinary differential equations (ODEs). Their data can be encoded into quantum computers via amplitude encoding. The system's nonlinearity is captured by Taylor polynomial expansion and the quantum state tensor whereas state variables can be updated by a quantum linear equation solver. Our results show that quantum computing can solve the dynamics of the power system with high accuracy whereas its complexity is polynomial in the logarithm of the system dimension.Comment: 6 pages, 8 figures, conference pape

Secrecy outage probability of a NOMA scheme and impact imperfect channel state information in underlay cooperative cognitive networks

Security performance and the impact of imperfect channel state information (CSI) in underlay cooperative cognitive networks (UCCN) is investigated in this paper. In the proposed scheme, relay R uses non-orthogonal multiple access (NOMA) technology to transfer messages e1, e2 from the source node S to User 1 (U1) and User 2 (U2), respectively. An eavesdropper (E) is also proposed to wiretap the messages of U1 and U2. The transmission’s security performance in the proposed system was analyzed and performed over Rayleigh fading channels. Through numerical analysis, the results showed that the proposed system’s secrecy performance became more efficient when the eavesdropper node E was farther away from the source node S and the intermediate cooperative relay R. The secrecy performance of U1 was also compared to the secrecy performance of U2. Finally, the simulation results matched the Monte Carlo simulations well

A Conceptual Design and Numerical Analysis for a Small-Scale and Low-Cost Plastic Recycling Machine

A new conceptual design for a small-scale and low-cost plastic recycling machine is generated by combining melting part and compression process. Starting with one of the outstanding requirements is in terms of an affordable-priced machine that can perform two processes with high accuracy and capacity, some issues related to balancing among quality, capacity and cost of machine occurred during a discussion. After implementing various designing methods such as Quality Function Deployment, Reverse Engineering, Morphological Matrix and Pugh Method, an idea of final concept about using an electric oven and hydraulic system to melt down and compress plastic tile which has a dimension of 300x300x9 mm was created. The design of concept is divided into two parts which are mechanical and electrical systems. In a mechanical section, the technical drawing and simulation are made to see how machine performs under operation. Besides, we examined the forces that applied in the moulds to evaluate the strength of the system. In heating and electricity section, we chose electrical components, designed oven parameters and conducted the heating simulation on the mould. In addition, the heating and cooling time was calculated based on the principles of thermodynamics and heat transfer. Furthermore, the manufacturing plan is created to estimate the essential resources producing a certain number of heat-forming machines. In general, the machine needs to be prototyped for controlling its main function and finding practical issues. After that, some improvements could be made to enhance efficiency and increase capacity by designing an optimal mould to more heat absorb and reduce post process, calculate and design more efficient oven, create faster lock mechanism and other improvements for an automatizing machine

Seasonal variation of phytoplankton in My Thanh River, Mekong delta, Vietnam

A study on the seasonal variation of phytoplankton composition was conducted at the upper, middle, and lower parts of the My Thanh River, which supplies an important source of water for aquaculture. Qualitative and quantitative samples of phytoplankton were collected monthly at both high and low tide. The results showed that a total of 171 phytoplankton (algae) species were recorded, belonging to 59 genera and 5 phyla. Diatoms were the most abundant group with the highest species number, followed by green algae. The other phyla possessed a lower number of species. The species composition was more diverse in the rainy season and at high tide at most of the sampling sites. The mean density of algae varied from 30,900-43,521 ind.L^-1^. The density of diatoms was higher in the middle and lower parts. At the same time, euglenoids displayed the highest density in the upper part, showing a difference in the dominant algae group under the influence of salinity. Salinity was found to be significantly positively correlated (p<0.01) with diatoms, whereas it was negatively correlated (p<0.05) with blue-green algae and euglenoids. The algae composition was quite diverse, with the H' index ranging from 2.0-3.3, showing the water quality was slightly to moderately polluted

Early-stage Fundraising of University Spin-offs: A Study through Demand-site Perspectives

University spin-offs have increasingly received attention from academia, governments and policy-makers. However, there are only a limited number of studies which fully understand the contribution made by the founding team to fundraising, specifically how they use their social networks and capabilities, especially within the university spin-off context. Employing a resource-based view theory and social networks approach, this paper examines whether a founding team exploits its social networks and capabilities to signal the value of a university spin-off. Capabilities are analysed through a set of constructs - technology, strategy, human capital, organizational viability and commercial resource - that have been derived from previous literature. The contribution made by social networks is evaluated using three dimensions - structure, governance and content - which form the construct of relationships within a network. Based on data from 181 university spin-offs in Spain, this paper empirically demonstrates that by exploiting social networks a founding team can improve its capabilities which, in turn, enhance its fundraising ability

Challenges to operationalizing sustainable diets: Perspectives from Kenya and Vietnam

Despite the urgent need for comprehensive food systems strategies, the challenge lies in defining feasible, evidence-based intervention points. Too little is known about issues food systems decision-makers and other change agents are running up against, particularly in low- and middle-income countries where food systems are the most vulnerable to a growing number of intertwined crises. We look at this question through the lens of sustainable diets, a growing area of research and a concept that is the basis of over 30 sets of national guidelines that aim to simultaneously address health, economic and environmental dimensions of food systems. Based on 114 interviews carried out in Kenya and Vietnam, we examine the extent to which food systems researchers, business and project managers and policy actors are attempting to intervene in food systems in ways that mirror the concept of sustainable diets. We also consider how they are managing two key ingredients that are critical to systems-change—interdisciplinary data and cross-sector collaboration. Most stakeholders we interviewed were carrying out systems-based projects, oriented—even if not explicitly—around many of the sustainable diets domains: agriculture, livelihoods, food security/access/nutrition and/or environment. The majority faced formidable challenges with both data and collaborations, however, showing why it can be so difficult to move from normative ideals like “sustainable diets” to practical realities, regardless of the context. To support more comprehensive food systems policies and interventions, our findings suggest the need for strategies that can improve the collection and accessibility of actionable, cross-sector data, and mechanisms to overcome institutional barriers that limit collaboration