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1 – 10 of 264Mingzhen Song, Lingcheng Kong and Jiaping Xie
Rapidly increasing the proportion of installed wind power capacity with zero carbon emission characteristics will help adjust the energy structure and support the realization of…
Abstract
Purpose
Rapidly increasing the proportion of installed wind power capacity with zero carbon emission characteristics will help adjust the energy structure and support the realization of carbon neutrality targets. The intermittency of wind resources and fluctuations in electricity demand has exacerbated the contradiction between power supply and demand. The time-of-use pricing and supply-side allocation of energy storage power stations will help “peak shaving and valley filling” and reduce the gap between power supply and demand. To this end, this paper constructs a decision-making model for the capacity investment of energy storage power stations under time-of-use pricing, which is intended to provide a reference for scientific decision-making on electricity prices and energy storage power station capacity.
Design/methodology/approach
Based on the research framework of time-of-use pricing, this paper constructs a profit-maximizing electricity price and capacity investment decision model of energy storage power station for flat pricing and time-of-use pricing respectively. In the process, this study considers the dual uncertain scenarios of intermittency of wind resources and random fluctuations in power demand.
Findings
(1) Investment in energy storage power stations is the optimal decision. Time-of-use pricing will reduce the optimal capacity of the energy storage power station. (2) The optimal capacity of the energy storage power station and optimal electricity price are related to factors such as the intermittency of wind resources, the unit investment cost, the price sensitivities of the demand, the proportion of time-of-use pricing and the thermal power price. (3) The carbon emission level is affected by the intermittency of wind resources, price sensitivities of the demand and the proportion of time-of-use pricing. Incentive policies can always reduce carbon emission levels.
Originality/value
This paper creatively introduced the research framework of time-of-use pricing into the capacity decision-making of energy storage power stations, and considering the influence of wind power intermittentness and power demand fluctuations, constructed the capacity investment decision model of energy storage power stations under different pricing methods, and compared the impact of pricing methods on optimal energy storage power station capacity and carbon emissions.
Highlights
Electricity pricing and capacity of energy storage power stations in an uncertain electricity market.
Investment strategy of energy storage power stations on the supply side of wind power generators.
Impact of pricing method on the investment decisions of energy storage power stations.
Impact of pricing method, energy storage investment and incentive policies on carbon emissions.
A two-stage wind power supply chain including energy storage power stations.
Electricity pricing and capacity of energy storage power stations in an uncertain electricity market.
Investment strategy of energy storage power stations on the supply side of wind power generators.
Impact of pricing method on the investment decisions of energy storage power stations.
Impact of pricing method, energy storage investment and incentive policies on carbon emissions.
A two-stage wind power supply chain including energy storage power stations.
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Krishna Chauhan, Antti Peltokorpi, Rita Lavikka and Olli Seppänen
Prefabricated products are continually entering the building construction market; yet, the decision to use prefabricated products in a construction project is based mostly on…
Abstract
Purpose
Prefabricated products are continually entering the building construction market; yet, the decision to use prefabricated products in a construction project is based mostly on personal preferences and the evaluation of direct costs. Researchers and practitioners have debated appropriate measurement systems for evaluating the impacts of prefabricated products and for comparing them with conventional on-site construction practices. The more advanced, cost–benefit approach to evaluating prefabricated products often inspires controversy because it may generate inaccurate results when converting non-monetary effects into costs. As prefabrication may affect multiple organisations and product subsystems, the method used to decide on production methods should consider multiple direct and indirect impacts, including nonmonetary ones. Thus, this study aims to develop a multi-criteria method to evaluate both the monetary and non-monetary impacts of prefabrication solutions to facilitate decision-making on whether to use prefabricated products.
Design/methodology/approach
Drawing upon a literature review, this research suggests a multi-criteria method that combines the choosing-by-advantage approach with a cost–benefit analysis. The method was presented for validation in focus group discussions and tested in a case involving a prefabricated bathroom.
Findings
The analysis indicates that the method helps a project’s stakeholders communicate about the relative merits of prefabrication and conventional construction while facilitating the final decision of whether to use prefabrication.
Originality/value
This research contributes a method of evaluating the monetary and non-monetary impacts of prefabricated products. The research underlines the need to evaluate the diverse benefits and sacrifices that stakeholder face when considering production methods in construction.
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Drawing upon the social identity theory (SIT), the present study aims to examine the moderating role of abusive supervision (AS) and job embeddedness (JE) in the relationship…
Abstract
Purpose
Drawing upon the social identity theory (SIT), the present study aims to examine the moderating role of abusive supervision (AS) and job embeddedness (JE) in the relationship between career plateau (CP) and counterproductive work behaviour (CWB). The research also aims to investigate whether JE moderated the moderating effect of AS on the CP–CWB relationship.
Design/methodology/approach
The hypotheses were tested with two-wave survey data collected from 290 employees working in India’s banking, financial services and insurance sector. Data were analysed using moderation and moderated moderation analyses on PROCESS v 4.1 macro.
Findings
Results showed that AS moderated the CP–CWB relationship, whereas the moderating role of JE was not observed. However, JE was seen to moderate the moderating effect of AS, supporting the moderated moderation framework.
Research limitations/implications
The present study adds value to the existing literature by connecting SIT with hierarchical layers. The supervisor themselves may stay longer in their current positions and block the subordinates’ progress. This impacts the social image of the subordinates. The study enriches the CP literature by highlighting that CP may lead to CWB, as the employees who perceive CP hit back at the organisation for being unfairly treated and not getting the career progression due to their supervisor.
Practical implications
The study provides important implications for the supervisors who need to introspect if their behaviour is viewed as abusive by the career-plateaued employees. They need to mentor the employees, especially those with higher career aspirations, and provide them with various career avenues. Furthermore, organisations should make all possible efforts to embed the employees within their jobs as the embedded employees can better take the shock of CP.
Originality/value
Drawing on the SIT, the study contributes uniquely to the employee behaviour literature by investigating the impact of CP, AS and JE on CWB in hierarchically flatter organisations. This is the first study to investigate the moderated moderation model of AS and JE in the CP–CWB relationship in the context of employees’ social status within the organisation.
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This study aims to explore a range of institutional, environmental and policy conditions that influence the creation of “bossless” or “flat” companies, i.e. firms with little or…
Abstract
Purpose
This study aims to explore a range of institutional, environmental and policy conditions that influence the creation of “bossless” or “flat” companies, i.e. firms with little or no formal hierarchy.
Design/methodology/approach
The author builds on the theory and evidence presented by Foss and Klein (2022) in their study of the costs and benefits of organizing without hierarchy. The author also draws on a variety of related theoretical insights and empirical evidence. The paper is exploratory and anecdotal though and is intended to motivate further research rather than provide a definitive account of bossless organizing.
Findings
The paper develops nine propositions. It suggests that high levels of economic freedom create maximum scope for entrepreneurs to experiment with different organizational forms (1). Likewise, a lack of economic freedom increases the scope for the government to experiment (2). Markets characterized by technological innovation and uncertainty are likely to discourage bossless organizing (3 and 4), while stagnating industries with major capital requirements are likely to encourage it (5). Labor market interventions that increase the cost of employment contracts sometimes encourage firms to flatten (6), but more generally, these interventions encourage expanding management layers (7). In environments with strong intellectual property (IP) laws, companies with more modular and knowledge-based work are more likely to flatten (8). The creation of low-hierarchy firms such as cooperatives is encouraged by public subsidies, access to cheap credit and preferential tax treatment (9).
Originality/value
Studies of bossless or flat firms focus almost exclusively on describing their internal organization and evaluating their performance; little attention is paid to the conditions that encourage or discourage the emergence of these firms. This paper focuses on the latter, with a view to encouraging more scholarly interest in this field.
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Behrooz Ariannezhad, Shahram Shahrooi and Mohammad Shishesaz
1) The OE-MLPG penalty meshfree method is developed to solve cracked structure.(2) Smartening the numerical meshfree method by combining the particle swarm optimization (PSO…
Abstract
Purpose
1) The OE-MLPG penalty meshfree method is developed to solve cracked structure.(2) Smartening the numerical meshfree method by combining the particle swarm optimization (PSO) optimization algorithms and Voronoi computational geometric algorithm. (3). Selection of base functions, finding optimal penalty factor and distribution of appropriate nodal points to the accuracy of calculation in the meshless local Petrov–Galekrin (MLPG) meshless method.
Design/methodology/approach
Using appropriate shape functions and distribution of nodal points in local domains and sub-domains and choosing an approximation or interpolation method has an effective role in the application of meshless methods for the analysis of computational fracture mechanics problems, especially problems with geometric discontinuity and cracks. In this research, computational geometry technique, based on the Voronoi diagram (VD) and Delaunay triangulation and PSO algorithm, are used to distribute nodal points in the sub-domain of analysis (crack line and around it on the crack plane).
Findings
By doing this process, the problems caused by too closeness of nodal points in computationally sensitive areas that exist in general methods of nodal point distribution are also solved. Comparing the effect of the number of sentences of basic functions and their order in the definition of shape functions, performing the mono-objective PSO algorithm to find the penalty factor, the coefficient, convergence, arrangement of nodal points during the three stages of VD implementation and the accuracy of the answers found indicates, the efficiency of V-E-MLPG method with Ns = 7 and ß = 0.0037–0.0075 to estimation of 3D-stress intensity factors (3D-SIFs) in computational fracture mechanics.
Originality/value
The present manuscript is a continuation of the studies (Ref. [33]) carried out by the authors, about; feasibility assessment, improvement and solution of challenges, introduction of more capacities and capabilities of the numerical MLPG method have been used. In order to validate the modeling and accuracy of calculations, the results have been compared with the findings of reference article [34] and [35].
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Mengxia Du, Qiao Wang, Yan Zhang, Yu Bai, Chunqiu Wei and Chunyan Liu
As to different angles of attack and nonlinear problems caused by high temperatures in coexisting hypersonic aircraft, people mainly rely on fluid software for research but lack…
Abstract
Purpose
As to different angles of attack and nonlinear problems caused by high temperatures in coexisting hypersonic aircraft, people mainly rely on fluid software for research but lack analysis of flow mechanisms. Owing to computational difficulties, few people use numerical algorithms to combine them for discussion. Hence, this study aims to make a deep inquiry into the laminar flow and heat transfer of compressible Newtonian fluid in hypersonic aircraft with small attack angles.
Design/methodology/approach
In this paper, on the basis of mass, momentum and energy conservation laws, the governing equations of the hypersonic boundary layer are established. Viscosity, specific heat capacity and thermal conductivity are considered nonlinear functions concerning temperature. In virtue of the MacCormack finite difference method, the stationary numerical solutions are solved directly, and the validity of the algorithm is verified.
Findings
The results demonstrate that at Mach number 5, compared to the 0° attack angle, the maximum temperature near-wall at the 3° attack angle increases by about 25%. An enjoyable phenomenon is discovered, where the position corresponding to the maximum wall shear force shifts back as the attack angle and Mach number increase. The relationship between the near-wall maximum temperature versus attack angle and Mach number is fitted through numerical calculation results.
Originality/value
Empirical formulas can be used to estimate heat transfer characteristics at small attack angles, which will guide the design of aircraft thermal protection systems.
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Ngan Yi Kitty Lam, Jeanne Tan, Anne Toomey and Ka Chun Jimmy Cheuk
This paper aims to investigate how different knitted structures affect the illuminative effect of polymeric optical fibres (POFs).
Abstract
Purpose
This paper aims to investigate how different knitted structures affect the illuminative effect of polymeric optical fibres (POFs).
Design/methodology/approach
Knit prototypes were constructed using a 7-gauge industrial hand flat knitting machine. The textile prototype swatches developed in this study tested POF illumination in three types of knitting structures: intervallic knit and float stitch structures; POF inlaid into double plain and full cardigan structures; and double plain and partial knitting structures. The illuminative effects of the POFs in seven prototype swatches were analysed and compared.
Findings
It is possible to use an industrial hand flat knitting machine to knit POFs. Longer floats expose more POFs, which boosts illumination but limits the textile’s horizontal stretchability. The openness of the full cardigan structure maximises POF exposure and contributes to even illumination. The partial knitting in different sections achieves the most complete physical integration of POFs into the knitted textiles but constrains the horizontal stretchability of the textiles.
Practical implications
The integration of POFs into knitted textiles provides a functional illuminative effect. Applications include but are not limited to fashion, architecture and interior design.
Originality/value
This study is novel, as it investigates new POF knitted textiles with different loop structures. This study examines how knit stitches affect POFs in intervallic knit and float stitch, inlaid POF double knit, double plain and partial knit and the illuminative effects of the knitted textile.
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Yun-Cih Chang, Yir-Hueih Luh and Ming-Feng Hsieh
This study investigates the economic outcomes of organic farming controlling for the four major aspects of a cropping system, including climate, genotypes, management and soil…
Abstract
Purpose
This study investigates the economic outcomes of organic farming controlling for the four major aspects of a cropping system, including climate, genotypes, management and soil. Considering possible variations in treatment responses, this study also presents empirical evidence of heterogeneous treatment effects associated with spatial agglomeration or farm covariates.
Design/methodology/approach
Rice farm households data taken from the 2015 Agriculture Census is merged with township-level seasonal weather data, crop suitability index and average income per capita in Taiwan. To address the selection bias problem, the authors apply the Probit-2SLS instrumental variable (IV) method in the binary treatment model under homogeneous and heterogeneous assumptions.
Findings
It is found that organic farming leads to a significantly positive effect on rice farms' economic performances in terms of cost reduction and profit growth. This positive treatment effect is more sizable with spatial agglomeration. Furthermore, the treatment effect of organic farming is found to vary with the farm characteristics such as farmland area and the number of hired workers.
Practical implications
Two important implications for the promotion of sustainable agri-food production are inferred: (1) establishing organic agriculture specialized zones may benefit rural development; (2) providing economic incentives to small farms to expand their scale may be a more effective policy means to promote sustainable agri-food production.
Originality/value
The findings in this study complement the body of knowledge by drawing insights from the agriculture census data and providing profound evidence of the heterogeneous outcomes of organic farming due to spatial clustering and farm covariates.
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Juan Luis Nicolau, Abhinav Sharma, Hakseung Shin and Juhyun Kang
To provide a dynamic view on accommodation choice behaviors during the pandemic, this study aims to examine the impact of recent trends on prospective travelers’ preferences for…
Abstract
Purpose
To provide a dynamic view on accommodation choice behaviors during the pandemic, this study aims to examine the impact of recent trends on prospective travelers’ preferences for hotels and Airbnb.
Design/methodology/approach
The paper adopts a mixed methods approach that incorporates three independent studies (experimental analysis, online search pattern analysis and an econometric event study) to understand customer decision-making behaviors.
Findings
The findings indicate that travelers prefer Airbnb entire flats/apartments to hotels when the pandemic is trending upward. This result externally validates travelers’ preference toward Airbnb during periods of high risk. Interestingly, when the trends go downward, however, the same behavioral pattern was not identified.
Research limitations/implications
This study provides important empirical insights into how the evolution of health crises influence customer decision-making for hotels and Airbnb. Future research needs to consider the role of socio-demographic factors in accommodation selection behaviors and examine how travelers react to cleanliness levels between Airbnb and hotels.
Originality/value
As one of initial studies that empirically examine Airbnb customers’ decision-making behaviors in the context of the COVID-19 pandemic’s trends, this study provides a dynamic view on how the evolution of the pandemic influences accommodation choice behaviors.
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The purpose of this paper is to develop a methodology for shaping the tourist spatial identity of the city and to take advantage of it to discover alternative urban outdoor…
Abstract
Purpose
The purpose of this paper is to develop a methodology for shaping the tourist spatial identity of the city and to take advantage of it to discover alternative urban outdoor spaces. As the number of indoor visitors has been limited due to the COVID-19 pandemic, open urban areas such as streets, squares and parks have become more important tourist locations.
Design/methodology/approach
The assessment methodology consists of two basic steps. In the first step, the authors look for places or points that are carriers of spatial identity. For this purpose, the method of mental mapping is used. In the second step, statistical methods are used to evaluate the spatial suitability for the most common tourist activities. To obtain a holistic picture, a temporal component is included.
Findings
The application of the methodology is presented in the form of a case study. The obtained research results provide an insight into the spatial situation of the city of Maribor (Slovenia, Europe). Tourist spatial identity of a city depends on time. Based on the value of spatial sensitivity indicator and the suitability of activities, it is possible to adapt the tourist offer to the temporal component.
Originality/value
To the best of the authors’ knowledge, this is an original perspective on the spatial identity of tourists. The presented approach could be integrated as a good practice in any other city worldwide. It supports the identification of suitable outdoor tourist places that are memorable, cosy, multifunctional and can be recommended by city guides (mobile or printed books). Every city has many hidden gems that tourists have yet to discover.
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