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The present study aims to provide a roadmap for meeting the carbon-free, green energy production target within the stipulated period while also considering climate targets through a sustainable auctioning scheme.

The research outlines the opportunity to design auctions based on qualitative research, the impact of auctions on energy costs and thus the feasibility of suggested auctioning schemes based on country-specific empirical evidence and benefits.

The conclusions show that this may result in various advantages for emerging economies relating to technology-neutral site-specific auctions if designed according to state-specific socio-economic conditions.

The planned addition to the state-of-the-art in the renewable energy (RE) field of this paper is that it intends to bridge the gap between theory and practice. The analysis has concepts for research, practice and/or community. Thus, it can serve as a primary source of literature reference for those willing to learn more about the aspects of cost related to RE.

The purpose of this paper is to track the maximal power of wind energy conversion system (WECS) and enhance the search capability for WECS maximum power point tracking (MPPT).

The hybrid technique is the combination of tunicate swarm algorithm (TSA) and radial basis function neural network.

TSA gets input parameters from the rectifier outputs such as rectifier direct current (DC) voltage, DC current and time. From the input parameters, it enhances the reduced fault power of rectifier and generates training data set based on the MPPT conditions. The training data set is used in radial basis function. During the execution time, it produces the rectifier reference DC side voltage that is converted to control pulses of inverter switches.

Finally, the proposed method is executed in MATLAB/Simulink site, and the performance is compared with different existing methods like particle swarm optimization algorithm and hill climb searching technique. Then the output illustrates the performance of the proposed method and confirms its capability to solve issues.

While many studies have focused on the effectiveness of service recovery after encountering service failure, few have considered for pre-recovery opportunities. Drawing on service guarantee research and the inoculation theory, this study examines the effect of pre-recovery strategy on customer’s satisfaction when faced with possible service failure. This study takes into consideration the uncertainty of service failure, including specific or unpredicted failures.

Three experimental studies were conducted to examine our research hypotheses, which include a total of 1203 subjects recruited from online and offline platforms.

The findings reveal that service guarantees and inoculation messages both effectively mitigate the negative consequences of a service failure. Specifically, the pre-recovery strategy is particularly effective for specific service failures. In addition, we thoroughly examined the mediating role of customer attribution.

This research significantly contributes to the existing literature on service research by delving into the potential positive impact of proactive measures undertaken by service enterprises. Furthermore, the findings of this research offer valuable insights for practitioners.

The demand for electricity supply increases day by day due to the rapid growth in the number of industries and consumer devices. The electric power supply needs to be improved by properly arranging distributed generators (DGs). The purpose of this paper is to develop a methodology for optimum placement of DGs using novel algorithms that leads to loss minimization.

In this paper, a novel hybrid optimization is proposed to minimize the losses and improve the voltage profile. The hybridization of the optimization is done through the crow search (CS) algorithm and the black widow (BW) algorithm. The CS algorithm is used for finding some tie-line systems, DG locations, and the BW algorithm is used for finding the rest of the tie-line switches, DG sizes, unlike in usual hybrid optimization techniques.

The proposed technique is tested on two large-scale radial distribution networks (RDNs), like the 119-bus radial distribution system (RDS) and the 135 RDS, and compared with normal hybrid algorithms.

The main novelty of this hybridization is that it shares the parameters of the objective function. The losses of the RDN can be minimized by reconfiguration and incorporating compensating devices like DGs.

This study aims to propose and apply a sustainability assessment model (SAM) for the mineral extraction industry developed on the basis of elements of dialogic accounting.

Distinct from other similar exercises, ours is also one in external accounting that focuses on a set of mining companies operating in a specific geographical location. It was undertaken based on different perspectives from various stakeholders, including mining workers and city dwellers, retrospectively, using publicly available information, entirely independently of the set of companies regarding which impacts the authors try to offer an account and without their approval. Twenty indicators were identified from the perspective of value for society.

The results for all environmental externalities appeared to be negative, as companies’ attitudes continue to be reactive and on the threshold of legal requirements. This assessment of the selected social indicators emphasizes that accelerated expansion of mining activities poses a threat to the mining area in the long term, as it reduces the useful lives of mineral deposits and expands social and environmental externalities.

The authors propose to expand the horizon of accounting through a framework that combines elements of the SAM technology, dialogic accounting and external accounting. This investigation contributes to the development of social and environmental accounting practices through the discussion, proposal and use of an SAM, built with the cooperation of several social actors and from the perspective of the other rather than the entity.

The authors tried to show how an SAM approach can be used in combination with dialogic accounting processes, increasing the accountability and awareness of the different groups of stakeholders, focusing on marginalized stakeholders, to offer an external account of the impacts of a set of companies from the mining sector operating in a specific geographical area.

This study’s findings suggest there are opportunities for accountants to support social and environmental accounting, thereby contributing to community awareness and empowering transformative action.

This study aims to regarding the application of traditional pulse frequency modulation control full-bridge LLC resonant converters in wide output voltage fields such as on-board chargers, there are issues with wide frequency adjustment ranges and low conversion efficiency.

To address these issues, this paper proposes a fixed-frequency pulse width modulation (PWM) control strategy for a full-bridge LLC resonant converter, which adjusts the gain by adjusting the duty cycle of the switches. In the full-bridge LLC converter, the two switches of the lower bridge arm are controlled by a fixed-frequency and fixed duty cycle, with their switching frequency equal to the resonant frequency, whereas the two switches of the upper bridge arm are controlled by a fixed-frequency PWM to adjust the output voltage. The operation modes of the converter are analyzed in detail, and a mathematical model of the converter is established. The gain characteristics of the converter under the fixed-frequency PWM control strategy are deeply analyzed, and the conditions for implementing zero-voltage switching (ZVS) soft switching in the converter are also analyzed in detail. The use of fixed-frequency PWM control simplifies the design of resonant parameters, and the fixed-frequency control is conducive to the design of magnetic components.

According to the fixed-frequency PWM control strategy proposed in this paper, the correctness of the control strategy is verified through simulation and the development and testing of a 500-W experimental prototype. Test results show that the primary side switches of the converter achieve ZVS and the secondary side rectifier diodes achieve zero-current switching, effectively reducing the switching losses of the converter. In addition, the control strategy reduces the reactive circulating current of the converter, and the peak efficiency of the experimental prototype can reach 95.2%.

The feasibility of the fixed-frequency PWM control strategy was verified through experiments, which has significant implications for improving the efficiency of the converter and simplifying the design of resonant parameters and magnetic components in wide output voltage fields such as on-board chargers.

While the determinants of voluntary political spending disclosure have been extensively studied in the literature, there remains a lack of clear evidence regarding the specific impacts of managerial ability and political risk on such disclosure. Thus, the purpose of this study is to shed light on whether and how managerial ability and political risk influence firms’ political spending disclosure.

This study uses a sample of 2,242 firm-year observations of S&P 500 companies between 2013 and 2021.

This study finds that firms with high-ability managers generally disclose more information about political spending. This positive relationship between managerial ability and political spending disclosure holds even after conducting additional tests to address potential endogeneity concerns. Furthermore, this study finds that firms operating in high-risk political environments also exhibit a greater propensity to disclose information regarding their political spending. The results remain robust to alternative measures of managerial ability and political risk.

This study suggests that when designing policy to motivate firms to disclose political spending information, policy makers need to be aware of the critical role of managerial ability and idiosyncratic political risk the firm faces. In addition, this study offers insights to shareholders, advocacy groups, regulators and academics interested in understanding the determinants of political spending disclosure.

This study is among the first to provide empirical evidence that political spending disclosure can be explained by managerial ability and political risk. In addition, this study complements the literature on the consequences of managerial ability and political risk. Focusing on voluntary political spending disclosure, this study contributes to a deeper understanding of the factors shaping the overall corporate information environment.

Combining two organizational change theories, life cycle and organizational development, this study examines how strategic change cycle has been adopted and implemented across three different organizations, a public organization, an NGO and an intergovernmental organization toward achieving their goals.

This study triangulates three different qualitative research methods: open-ended semi-structured interviews conducted with UN Women Egypt's director, text analysis of the three organizations' websites and the discourse analysis of the Tri-County Foundation's leaders.

Strategic change cycle has been differently formulated, adopted and implemented by the three organizations based on their goals, resources and contexts. While Office Board of Investment adopted a comprehensive reactive change, Tri-County Foundation followed a partial proactive transformation and UN Women Egypt developed a partial reactive strategy. Henceforth, public organizations and nonprofit organizations can develop different strategies of change in function of needs, resources, goals and context.

This study advances a theoretical framework on organizational change by integrating two theories, life cycle and organizational development, presenting four patterns of change: comprehensive reactive, comprehensive proactive, partial reactive and partial proactive.

This manuscript explores the evolving roles of HR professionals amidst global megatrends and organizational transitions, focusing on the Italian context, which has experienced disruptive adoption of new forms of work such as remote and hybrid work. In this challenging scenario, our research aims to uncover if and how HR professionals are transforming their roles or maintaining the status quo in navigating organizational changes, dealing with the upcoming working scenario, and challenging conventional perceptions of HR practitioners.

The study employs the social-symbolic work lens, that contributes to a deeper understanding of how HR professionals work to construct organizational life, the identities of employees, and the societal norms and assumptions that provide the context for organizational action. This perspective highlights HR professionals’ personal efforts, consisting of the emotional labor entailed in steering organizational transformations and, eventually, maintenance in a context where remote work has become prevalent. Data was collected through 16 online focus groups involving 76 HR professionals from Italian organizations.

Our research offers two interrelated contributions to HR literature. First, we provide pieces of evidence on how HR practitioners act as agents of change in two emerging roles: the “Wannabe Hero” and the “Ordinary Hero”. This challenges the prevailing rhetorical discourse about the so-called HR business partner. Secondly, we delve into the persistent obstacles that hinder HR professionals from making a substantial impact in addressing radical changes. These findings will provide useful insights into effectively engaging HR practitioners as agents of change in organizational transformation, shedding light on praxis, structures, and their emotional work.

The paper analyzes HR professionals’ social-symbolic work, which offers an original contribution to the comprehension of the activities they carry on in practice and the emotions they have been experiencing. These influence both the way HR professionals play their role and the organizational and institutional environment.

The article investigates different types of strategies for managing user-generated content (UGC) and provides some insights into their implications.

A unique sample of Italian hotels with current and prospective customers in the digital environment is investigated. A taxonomy of user-provider interactions mediated by UGC is developed. A mixed approach was designed to meet the study aims. Firstly, an exploratory factor analysis was performed in order to illuminate different strategies of UGC and electronic word-of-mouth (E-WOM) management. Secondly, a cluster analysis was implemented in order to explain hoteliers' behavior toward users' contents.

The study results suggested the existence of three clusters, which reflected three different types of interactions between hotels and customers in the digital domain. Interestingly, most of Italian hotels were found to adopt a reductionist approach to UGC and E-WOM management, turning out to be ineffective to exploit them for the purpose of quality improvement and hospitality service excellence.

Hotels were found to be largely unaware of the importance of UGC and web-based communication with customers to improve their digital business strategy. Tailored management approaches are needed to realize the full potential of hotels' online content responsiveness for the purpose of value co-creation and service co-production.

This is one of the first studies investigating the strategic and management perspectives embraced by hotels to handle their interactions with customers in the digital arena.