Perspective Of Strategies Research Articles

Gerenciando paradoxos da estratégia aberta no setor público

Abstract The open strategy approach advocates the inclusion of external agents, partners, and employees working at different levels in the strategy construction process. This movement toward openness and inclusion has also advanced in the public sector through collaborative governance. This development is due to changes in understanding the state’s role as a promoter of interaction between public and private actors. The central argument of this essay is that there are paradoxes inherent in the use of open strategy in the public sector that need to be managed in order to avoid or minimize damaging tensions between those involved. The essay adopts a reflexive and inductive approach based on the theoretical perspectives of both open strategy and collaborative governance. As a result, it contributes to the field of public management studies and presents theoretical and practical propositions that indicate ways of managing open strategy.

Performance analysis of the comprehensive energy system based on active energy storage-discharge technology under time-sharing electricity price operation strategy

Multi-energy complementary comprehensive energy systems based on renewable energy can reliably meet the energy needs of communities and significantly mitigate carbon emissions. This is of paramount significance in the establishment of low-carbon sustainable communities. The effective operation of an integrated energy system necessitates a thorough examination of demand-side load, the dynamic performance of the energy supply system, the configuration of energy storage systems, local electricity pricing policies, and operational or control strategies for the system. It confronts substantial challenges in practical application. Considering the noteworthy performance variations of comprehensive energy systems under diverse demand-side load, fluctuating electricity prices, and various operating modes of energy storage equipment, this paper initially conducts a practical analysis of demand-side load. A comprehensive energy system with multi-energy complementary based on source-load-storage coordination (SLS-CES) model was constructed. From the perspective of system operation strategy, we identify the current electricity consumption pattern in the region, characterized by peak and valley periods. We integrate this information with the time-of-use electricity pricing policy and the equipment within the target area. An operation strategy based on local time-of-use electricity price policy was proposed. An in-depth analysis of the thermal performance, environmental performance, and economic performance of the system in the full-year dimension and typical daily dimension under this operating strategy was conducted. The results show that under this operation strategy, the system's annual net income is 415.90 thousand yuan, of which the system's energy storage battery power supply revenue during peak period reaches 254.40 thousand yuan. The initial investment is 5.03 million yuan, and the static investment payback period is 12.09 years. The annual primary energy saving rate of the system is 36.00%, and the maximum CO2 emission reduction rate is 72.23%. The maximum primary energy saving rates on typical days in winter and typical days in summer are 74.74% and 97.14% respectively. The total annual CO2 emissions were reduced by 5.47 tons and 4.54 tons respectively. Through this study, we found that a system incorporating energy storage equipment, combined with an operation strategy based on electricity price policy, can yield additional economic benefits. This approach helps alleviate peak power supply pressure on the grid and mitigates the challenges associated with the high initial investment in renewable energy systems, all while maintaining good thermal performance and environmental benefits.

Evaluating patent technology transfer potential : A predictive model based on citation network analysis

Purpose: The citing of patents is an indicator of the transfer of technical knowledge and the influence of one technology on subsequent developments. The objective of this paper is to construct a predictive model based on patent and paper citation network to evaluate the potential for technology transfer of patents Methodology: This paper employs a binary classification algorithm from machine learning, specifically the decision tree algorithm, as its methodology. This has facilitated the creation of a predictive index system comprising 16 structured indicators across three dimensions: the degree of technological innovation, the quality of patent document, and the extent of intellectual property rights (IPR) protection. In order to construct the training sample set, patent transfer data for graphene sensors were employed as proxy variables for technology transfer potential. Findings: The findings of the study indicate that the dynamic characteristics of the citation network are a significant factor in the assessment of the potential for technology transfer. The most significant indicator affecting the transformation value of patents is inward degree centrality. Moreover, the results demonstrate that additional evaluation indicators, namely outward proximity centrality, family size, and selfcitation frequency, are also of significance. The patent technology transfer potential prediction model presented in this paper, which is based on citation network indicators and a decision tree algorithm, exhibits a high degree of predictive accuracy. Value: The value of this research lies in its novel perspective and method for patent valuation and technology transfer strategies. Furthermore, it offers a more comprehensive reflection of the inheritance and flow of patented technology by integrating the citation relationships between patents and scholarly papers. This makes it a valuable contribution to the understanding and promotion of the technology transfer process.

A differential game of water pollution management in the trans-jurisdictional river basin

Strengthening cooperation of water pollution management in the trans-jurisdictional river basin is of great significance for ensuring water security and deepening the construction of ecological civilization. Therefore, this paper established a dynamic differential game model of pollution management in the trans-jurisdictional river basins composed of upstream and downstream governments and sewage enterprises, calculated the strategic equilibrium solution of multi-stakeholders, analyzed the changes of strategy selection of different stakeholders under cost and non-cost sharing, and simulated strategy selection of stakeholders under multi-scenarios. The main findings are as follows: (1) Cost sharing policy enhances the governance efforts level of all stakeholders and increases social welfare. (2) The selection of governance strategies by multiple stakeholders has an interactive influence which is affected by the cost–benefit relationship of each stakeholder. The proportion of cost sharing and incentives affect the variation of the utility of the upstream government, downstream government, and sewage enterprises in cooperation. (3) The increase in the attenuation coefficient of governance utilities and the governance costs of the three parties will reduce the level of water pollution management efforts of the three parties. (4) The increase of marginal utility and social welfare effect will enhance the level of governance efforts. (5) The cost sharing ratio of the downstream government has an impact on the governance efforts of the upstream government. (6) Downstream government rewards, corporate social reputation, and external influence coefficient of regional river pollution management has an important impact on the level of governance efforts of sewage enterprises. Based on the above conclusions, this paper puts forward suggestions from the perspectives of cooperation strategies, reward and punishment mechanisms, and the application of advanced technology and equipment to help strengthen cooperation of water pollution management in the trans-jurisdictional river basin.

Blood meal metabarcoding of the argasid tick (Ornithodoros turicata Dugès) reveals extensive vector‐host associations

AbstractMolecular methods to understand host feeding patterns of arthropod vectors are critical to assess exposure risk to vector‐borne disease and unveil complex ecological interactions. We build on our prior work discovering the utility of PCR‐Sanger sequencing blood meal analysis that work well for soft ticks (Acari: Argasidae), unlike for hard ticks (Acari: Ixodidae), thanks to their unique physiology that retains prior blood meals for years. Here, we apply blood meal metabarcoding using amplicon deep sequencing to identify multiple host species in individual Ornithodoros turicata soft ticks collected from two natural areas in Texas, United States. Of 788 collected O. turicata, 394 were evaluated for blood meal source via metabarcoding, revealing 27 different vertebrate hosts (17 mammals, five birds, one reptile, and four amphibians) fed upon by 274 soft ticks. Information on multiple hosts was derived from 167 individual O. turicata (61%). Metabarcoding revealed mixed vertebrate blood meals in O. turicata while same specimens yielded only one vertebrate species using Sanger sequencing. These data reveal wide host range of O. turicata and demonstrate the value of blood meal metabarcoding for understanding the ecology for known and potential tick‐borne pathogens circulating among humans, domestic animals, and wildlife such as relapsing fever caused by Borrelia turicatae. Our results also document evidence of prior feeding on wild pig from an off‐host soft tick for the first time in North America; a critical observation in the context of enzootic transmission of African swine fever virus if it were introduced to the US. This research enhances our understanding of vector‐host associations and offers a promising perspective for biodiversity monitoring and disease control strategies.

An Investigation into Cosmetic Market Strategy of China: A Case Study of Sephora

This paper investigates the Sephora’s consumer behaviors in Chinese market. With the larger segmentation of the market and changing consumer views of cosmetic products, there are factors of change in Consumer behavior. Sephora is a classic and successful representative in cosmetic industry for a long time, most of their marketing strategies are original and leading trend among most continents. However there has been a downturn in performance over the years. In order to determine the reasons for changes of the situation in recent years, this paper used case study method to analysing different perspectives of Sephora current marketing strategy. The review theoretical framework is based on 4Ps founded by Neil Borden, which applied with detailed explanations in four perspectives to reveal why Chinese market of Sephora are not performing well in last few years compare with the other marketing areas. In addition, three recommendations to correspondence issues divided in different aspects as increase local brands, improving brand awareness, integration into the local marketing market, adjusting price marketing model and business strategy.

Improving the long-term performance of electric vehicles CO2 heat pump through correcting discharge pressure

Electric vehicle CO2 heat pumps are an environmentally friendly and energy-efficient solution, especially in cold regions, where they show exceptional heating capabilities and attract widespread attention. The optimal discharge pressure has consistently been the focus of research for enhancing energy efficiency in CO2 heat pump systems. The impact of declining heat transfer efficiency during the long-term operation on the optimal discharge pressure has yet to be thoroughly investigated. Establishing a simulation model for electric vehicles CO2 heat pump. Considering how performance degradation on both sides of the heat exchanger affects the optimal discharge pressure over the lifecycle. Proposing a mathematical correction method to adjust the initial discharge pressure and realize COP loss recovery from a control strategy perspective. The results demonstrate a gradual growth in the optimal discharge pressure, leading to a 15% additional COP loss after 10 years. The extent of heat transfer efficiency deterioration played a crucial role in determining the optimal discharge pressure deviation rate. Correcting the discharge pressure can minimize COP loss from a control strategy standpoint. Theoretically, under the specified test conditions, COP loss can be maximally recovered by approximately 2.48% (within 4 years) and 25.48% (within 10 years). This study contributes to the sustained reduction of electricity consumption in CO2 heat pump systems, thereby prolonging the energy-saving advantages of electric vehicles.

The impact of China’s new Environmental Protection Law on corporate environmental investments

As an important lever for China’s green development strategy, whether the new Environmental Protection Law can effectively form investment incentives for enterprises has attracted much attention and is also an important topic that theoretical research urgently needs to explore. This paper utilizes corporate data from non-financial listed companies in Shanghai and Shenzhen A-shares from 2007 to 2018. By adopting a double-difference model, it explores the incentive role and internal mechanism of the new Environmental Protection Law (EPL), implemented in 2015, as an environmental regulation on the environmental protection investment of enterprises, taking the new EPL’s enactment as a quasi-natural experiment. The study revealed a noteworthy and positive impact on motivation, which remained consistent even after various robustness tests. Additionally, the impact of incentives varied depending on the level of competition within the industry, financial constraints, and ownership type of the enterprises. Investigating the mechanism, it has been discovered that the incentive effect advances the environmental investment of firms through diminishing agency costs, enriching the quality of environmental information disclosure, and facilitating government subsidies to enterprises. This study not only verifies, from the factual empirical level, that environmental regulation policies can promote corporate environmental investment but also provides important evidence to support to a certain extent that the implementation of the new EPL can promote enterprises’ environmental governance behaviors. This article reveals the microeconomic effects of the new Environmental Protection Law from the perspective of corporate behavior strategies, and the research conclusions have important reference significance for the construction of national legal systems and the deepening of green development strategies.

Intended or unintended strategy? The activities of middle managers in strategy implementation

When top managers task middle managers with implementing strategies, those strategies are often executed in a deviated form, which leads to the creation of unintended strategies. Despite much research on middle managers and their role and behaviors in strategy implementation, there is still only a limited understanding of the implementation activities that result in intended and unintended strategies. Using a strategy-as-practice perspective and interviews with 40 middle managers about 122 strategy implementations, we investigate strategy implementation activities and develop a model of middle manager activities in strategy implementation. We find that seven of the ten activities differ in frequency between intended and unintended strategies. This study extends the strategy implementation literature by conceptualizing a critical link in how different strategy implementation outcomes come about. We also broaden the middle management perspective in strategy by extending the range of activities that explain middle managers’ engagement with strategy and differentiating them across two strategy implementation outcomes.

A common polar dye additive as corrosion inhibitor and leveling agent for stable aqueous zinc‐ion batteries

AbstractThe industrial application of zinc‐ion batteries is restricted by irrepressible dendrite growth and side reactions that resulted from the surface heterogeneity of the commercial zinc electrode and the thermodynamic spontaneous corrosion in a weakly acidic aqueous electrolyte. Herein, a common polar dye, Procion Red MX‐5b, with high polarity and asymmetric charge distribution is introduced into the zinc sulfate electrolyte, which can not only reconstruct the solvation configuration of Zn2+ and strengthen hydrogen bonding to reduce the reactivity of free H2O but also homogenize interfacial electric field by its preferentially absorption on the zinc surface. The symmetric cell can cycle with a lower voltage hysteresis (78.4 mV) for 1120 times at 5 mA cm−2 and Zn//NaV3O8·1.5H2O full cell can be cycled over 1000 times with high capacity (average 170 mAh g−1) at 4 A g−1 in the compound electrolyte. This study provides a new perspective for additive engineering strategies of aqueous zinc‐ion batteries.

Optimal financing modes of a capital-constrained manufacturer under different sales strategies

PurposePrevious studies have rarely integrated the financing modes of a capital-constrained manufacturer with the choices of online sales strategies. To address this gap, the authors study how a manufacturer selects optimal financing modes under different sales strategies in three dual-channel supply chains.Design/methodology/approachThis paper considers three sales strategies, namely, combining a traditional retailer channel with one of the direct selling, reselling and agency selling channels, and two common financing modes, namely, bank financing and retailer financing. The authors obtain equilibrium outcomes of the manufacturer and traditional retailer and then provide the conditions for them to select optimal financing modes under three sales strategies.FindingsThe results indicate that the manufacturer’s financing decisions rely on the initial capital and interest rates, and the manufacturer selects retailer financing only if the initial capital is relatively larger. In terms of financing mode options, the retailer financing mode is more beneficial for the manufacturer under the three sales strategies. From the perspective of sales strategies, the direct selling model is more beneficial. In addition, the higher the consumer acceptance of the online channel, the more profits the manufacturer obtains.Practical implicationsThis paper provides suggestions on how the capital-constrained manufacturer chooses financing modes and sales strategies.Originality/valueThis paper integrates the financing mode and different sales strategies to investigate the manufacturer’s optimal operational decisions. These sales strategies allow us to investigate the manufacturer’s optimal financing modes in the presence of both different financing modes and sales strategies.

Trauma-Informed Classrooms after Natural Disasters: A Literature Review

Abstract: With the continuing COVID-19 pandemic combined with natural disasters due to climate change, teachers’ ability to identify and address trauma is increasingly important to maximize academic and socioemotional outcomes. Trauma-informed classroom interventions in response to natural disasters are relatively unexamined. The objective of this literature review is to examine the following research questions is examined: 1) What trauma-informed-classroom strategies have been implemented secondary to a natural disaster? and 2) Over time, how has the use of curriculum modification to mitigate student trauma symptoms evolved? This narrative review examined peer-reviewed articles published since 2000 that examined trauma-informed classroom strategies with P-12 students following a natural disaster. Research indicated that trauma-informed classroom strategies fall in one of two categories: curriculum and instructional modifications and teacher-led interventions. The implementation of all strategies indicates improved psychosocial functioning in students. Research indicates that the perspective of teacher-led trauma-informed strategies have evolved in from a questionable practice in the early 2000s to a necessity in the time of COVID-19.

Queerowy <i>life writing</i> a dyspozycje krytyczne

This article attempts to analyze the contest diaries written by LGBTQ+ individuals published in the collection <i>Cała siła, jaką czerpię na życie</i> [All the Strength I Muster to Live] (2022) from the perspective of life-writing strategies, the production of auto/biographical subjectivity, and the specific positioning of the authors in relation to the poetics of the contest monograph. The published testimonies are set in the scheme of both literary and sociological traditions of Polish diary writing from the 1930s. The text also draws on the project of anxious reading by Astrid Rash, through which, in the process of critical reading, it becomes necessary to activate individual areas of “selective empathy” towards the stories about experiences of violence and marginalization contained in the diaries. Keywords: competitive diary writing, LGBTQ+, life writing, anxious reading

Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations

Abstract. An accurate assessment of the physical states of the Earth system is an essential component of many scientific, societal, and economical considerations. These assessments are becoming an increasingly challenging computational task since we aim to resolve models with high resolutions in space and time, to consider complex coupled partial differential equations, and to estimate uncertainties, which often requires many realizations. Machine learning methods are becoming a very popular method for the construction of surrogate models to address these computational issues. However, they also face major challenges in producing explainable, scalable, interpretable, and robust models. In this paper, we evaluate the perspectives of geoscience applications of physics-based machine learning, which combines physics-based and data-driven methods to overcome the limitations of each approach taken alone. Through three designated examples (from the fields of geothermal energy, geodynamics, and hydrology), we show that the non-intrusive reduced-basis method as a physics-based machine learning approach is able to produce highly precise surrogate models that are explainable, scalable, interpretable, and robust.

Targeted poverty alleviation and corporate financial performance: The CSR strategy perspective

As an emerging way for firms to fulfil social responsibility in China, targeted poverty alleviation (TPA) helps the Chinese government to achieve its sustainable development goals. Although the effect of TPA on poor areas has been deeply explored, the influence of firms’ participation in TPA on themselves and its mechanism is unclear. We analyse the performance of listed firms which engaged in TPA from 2016 to 2021 by adopting a causal steps approach model, which indicate that firm engagement in TPA has a significant positive effect on corporate finance performance (CFP), and the mediating effect of financing constraints and media attention is verified. Our findings contribute to corporate social responsibility (CSR) practices from the new strategy perspective of TPA. JEL Classification: G18, M14, M41

India’s global education hub ambitions: Recent student mobility trends, the underlying dynamics and strategy perspectives

India’s global education hub ambitions: Recent student mobility trends, the underlying dynamics and strategy perspectives

Segmenting, Targeting, and Positioning of Yogurt Products From the Perspective of Islamic Marketing

This study aims to explore the concept of Islamic marketing strategy and its potential role in developing halal trade and contributing towards the achievement of Sustainable Development Goals (SDGs). The research method use qualitative method, a literature review is conducted to examine Islamic marketing from a marketing strategy perspective, building on the STP framework and outlining its implications. The findings suggest that Sharia-compliant marketing can serve as an effective strategy for businesses to attract customers using halal marketing tactics in their Segmentation, Targeting, and Positioning approaches. This approach enables the business world to avoid being perceived as solely profit-driven and instead embrace social responsibility. The proposed framework can be utilized by businesses to segment the Muslim market given the cultural dissimilarities in interpreting Islam and halal. This way, companies can not only comprehend the diverse segments within Islamic interpretation, but also devise an appropriate marketing mix to cater to consumer requirements. The study's findings can be applied to Muslim marketers while using the Segmenting, Targeting, Positioning framework. Furthermore, it offers qualitative guidance for non-Muslim marketers and scholars, resolving various marketing-related concerns.

The cooperative evolution in the spatial prisoner's dilemma game with the local loyalty of two-strategy

The loyalty of individual strategies is an important factor affecting cooperative behavior in human society. Previous researches on the loyalty have mostly focused on the loyalty of individual to a single strategy, that is, the loyalty of individual to cooperative strategy. But from the perspective of defective strategy, individual holding defective strategy can also be seen as so-called loyalty to defective strategy.This paper presents a spatial prisoner's dilemma game model with the local loyalty of two-strategy, in which the loyalty to cooperative strategy and loyalty to defective strategy are considered simultaneously. To distinguish the loyalties of these two types of strategies, the loyalty value corresponding to defective strategy is represented as a negative number. A fitness of an individual is defined as weighted average of individual's payoff and power of average loyalty of local nearest neighbors. In strategy learning, if the loyalty of an individual and the loyalty of the target neighbor are different signs, a discount coefficient is added to the strategy transition probability function to reduce the probability.Numerical simulations show that considering individual loyalty to the two strategies can promote cooperative behavior in the system when the strength index of local loyalty in fitness function is positive, and there are optimal values for the weighting coefficient and the strength index of local loyalty, which can enable the system to reach full cooperators state. The discount coefficient to the fitness of neighbor can impact on the frequency of cooperators surviving and the proportion of surviving cooperators during phase transition.

Triboelectric Nanogenerator-Based Electronic Sensor System for Food Applications

Triboelectric nanogenerators (TENGs) have garnered significant attention due to their ability to efficiently harvest energy from the surrounding environment and from living organisms, as well as to enable the efficient utilization of various materials, such as organic polymers, metals, and inorganic compounds. As a result, TENGs represent an emerging class of self-powered devices that can power small sensors or serve as multifunctional sensors themselves to detect a variety of physical and chemical stimuli. In this context, TENGs are expected to play a pivotal role in the entire process of food manufacturing. The rapid development of the Internet of Things and sensor technology has built a huge platform for sensor systems for food testing. TENG-based sensor data provide novel judgment and classification features, offering a fast and convenient means of food safety detection. This review comprehensively summarizes the latest progress in the application of TENGs in the food field, mainly involving food quality testing, food monitoring, food safety, and agricultural production. We also introduce different TENG-based, self-powered devices for food detection and improvement from the perspective of material strategies and manufacturing solutions. Finally, we discuss the current challenges and potential opportunities for future development of TENGs in the food field. We hope that this work can provide new insights into the structural and electronic design of TENGs, thereby benefiting environmental protection and food health.

Financial Analysis under the Perspective of Corporate Strategy --A Case Study of NIO Company

Given the ongoing degradation of the global environment, the imperative of energy conservation and emission reduction has become increasingly apparent. In response to this pressing issue, automobile manufacturers have been actively heeding the call of the nation. Consequently, an escalating number of automotive companies are now engaged in the competitive landscape of the new energy automobile industry. In the context of intense market rivalry, the formulation and implementation of corporate strategy has emerged as a crucial determinant for the sustained growth and success of organizations in the long run. business strategy plays a pivotal role in the comprehensive development strategy of a business, serving as a potent tool to enhance resource utilization and guarantee the value creation of the enterprise. Hence, it is imperative for firms to engage in a methodical and scholarly examination of financial statements through financial analysis. This article employs the case analysis method, literature research method, and SWOT analysis method to perform a financial analysis of NIO, focusing on the perspective of corporate strategy. By utilizing these methods, the paper aims to offer pertinent recommendations for NIO and serve as a reference for other relevant enterprises.