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This paper aims to establish a calculation model of the circulating current and loss of high-voltage cross-linked polyethylene (XLPE) cables under the cross-interconnection grounding method, and analyzing the physical mechanism of cable ablation caused by ground faults.

In view of the degree of influence of grounding defects on cable ablation, a model for calculating the ground loop current and loss of metal sheaths with unequal cross-interconnection segment lengths, unbalanced three-phase load currents, short-circuiting of inner and outer coaxial cable cores in transposition and incomplete transposition of three phases was established. The simulation experiment of wrinkled aluminum sheath ablation was carried out.

The differing lengths of the three cross-connected sections and the imbalance of the three-phase load current have a clear impact on the metal sheath circulation. The short circuit of the inner and outer core of land cable transposition coaxial cable and the incomplete three-phase transposition of metal sheath cross-interconnection exert a profound influence on the circulation of metal sheath. This situation will result in a considerable increase in three-phase circulation and metal sheath loss in the land cable metal sheath. In accordance with the stipulated test conditions, the requisite current is essential for the generation of white products.

The physical mechanism of the occurrence of the metal sheath ablation phenomenon is investigated from the point of view of the grounding method of high-voltage cables.

The energy sector is one of the most important sectors with an impact on the environment, and therefore, sustainable performance in this sector is considered a sensitive issue for sustainability. It is, therefore, necessary to know how to address stakeholders’ interest in sustainability through governance mechanisms. The purpose of this study is to look into the role of corporate governance (CG) on sustainable performance disclosure (SPD) in the energy sector.

This study uses panel data covering the period 2019–2023 among 12 companies in the energy sector in Jordan. Fixed-effect regression models were estimated for board size, board independence, chief executive officer (CEO) duality, board diligence, board gender diversity, sustainability committee existence and sustainability disclosure. The data analysis tool of choice was a multiple regression approach because it was deemed appropriate. The disclosure index was created using global reporting initiative standards and provides the number and quality of disclosures on key sustainability indicators.

The study found a significant and positive relationship between board size, percentage of independent directors, board audit, board gender diversity, existence of sustainability committee and level of SPD. On the other hand, the study establishes that CEO duality has an inverse relationship with SPD.

The findings of this study have significant implications for managers and corporate decision-makers in the energy sector. The findings affirm that the improved design of CG motivations and realizations conducive to robust measures of SPD necessitates effective CG.

The value of this applied study stems from the importance of SPD for various categories of stakeholders, and conducting such an applied study is crucial to improving the existing realization of the factors that can have a significant impact on the level of SPD in Jordanian energy sector companies. The results of this paper may be of procedural value to regulatory authorities and decision-makers.

A green innovation strategy is an important step for enterprises to balance economic and environmental. As the executors of strategic decisions, the attitude and capabilities of senior managers determine the effectiveness of implementing green innovation. Therefore, this paper aims to explore the relationship between executive compensation incentives and green innovation.

Based on the data of heavily polluting enterprises listed in China's A-share market from 2015 to 2020, this study constructs an OLS model with fixed effects of time and industry, and uses the mediation three-step method to verify the correlation between executive compensation incentives, innovation openness and green innovation. Meanwhile, the grouping regression was used to test the moderating effect of environmental regulation on executive compensation incentives.

The empirical results show that executive salary incentives promote green innovation and equity incentives inhibit green innovation; the openness breadth partially mediates the relationship between salary incentives, equity incentives and green innovation, while the openness depth only partially mediates the relationship between equity incentives and green innovation; and environmental regulation positively moderates executive incentives.

Due to sample selection and variable measurement, the study lacks certain generality. Therefore, future research needs to further analyze the internal factors affecting green innovation from multiple dimensions.

This study provides a new evidence for analyzing how executive compensation measures affect green innovation, and further enhances the mediating mechanism of open innovation.

This study has significant theoretical implications for examining the intra-firm factors that affect green innovation.

This study aims to analyze the effect of energy consumption by energy source toward the price level of fossil fuels in Indonesia.

Using data from the Energy Institute and the World Development Indicator, this study applies the error correction model method to analyze the effect of energy consumption on price levels, both in the short and long run.

The results of this study show that the price of oil, which is one of the energy sources, has increased. In the long run, coal consumption increases oil prices, while geothermal consumption does the opposite. On the other hand, in the short term, only oil consumption increases oil prices. This study emphasizes the importance of renewable energy development, especially geothermal energy and hydroelectricity, for energy price stability in Indonesia.

To the best of the authors’ knowledge, this study is the first to examine the effect of Indonesian energy consumption on oil prices. In addition, this study breaks down the analysis of energy consumption by source, making it a valuable reference for the development of renewable energy in Indonesia.

Language styles of online reviews are becoming increasingly important in consumers’ purchase decisions. However, there are inconsistencies in research on the effects of literal and figurative language styles in online reviews on service consumption. Drawing upon construal level theory, this research explores the effects of literal and figurative online reviews on consumers’ word-of-mouth recommendations and their internal mechanisms in the context of service consumption. In addition, this research identifies service types (experience vs credence services) as boundary conditions under which online review language styles play a role.

Three studies are designed to verify the effect of language style in online reviews on consumer word-of-mouth recommendations. Study 1 (N = 195) tests the interaction between construal level and (literal vs figurative) language style on consumers’ word-of-mouth recommendations. Study 2 (N = 191) identifies the depth of information processing as an underlying mechanism. Study 3 (N = 466) examines the boundary condition due to service type. The main methods used are independent sample t-test, ANOVA and bootstrapping.

The results illustrate that (1) consumers at different construal levels prefer online reviews with different language styles, and this can influence their word-of-mouth recommendations: consumers with a low construal level prefer online reviews with a literal language style, while those with a high construal level prefer online reviews with a figurative language style; (2) the depth of information processing plays a mediating role in the above interaction effect and (3) service type serves as a boundary condition such that the preference for literal (vs figurative) language style among low- (vs high-) construal-level consumers holds only for experience services; for credence services, online reviews with a literal language style enhance word-of-mouth recommendations, regardless of consumers’ construal level. The findings shed light on the drivers of word-of-mouth recommendations and provide insights to promote more effective word-of-mouth recommendations.

Drawing upon the construal level theory, this research explores the factors that influence online review language styles on consumer word-of-mouth recommendations and their underlying mechanisms and discusses the moderating effects of different service types (i.e. experience services and trust services). It not only sheds light on the contradictions in the previous literature but also provides new insights for academics and business managers to deepen their understanding of facilitating word-of-mouth recommendations.

To date, to the best of the authors’ knowledge, the use of implicit measures in the service research domain is limited. This paper aims to introduce implicit measures and explain why, or for what purpose, they are worthwhile to consider; how these measures can be used; and when and where implicit measures merit the service researcher’s consideration.

To gain an understanding of how implicit measures could benefit service research, three promising implicit measures are discussed, namely, the implicit association test, the affect misattribution procedure and the propositional evaluation paradigm. More specifically, this paper delves into how implicit measures can support service research, focusing on three focal service topics, namely, technology, affective processes including customer experience and service employees.

This paper demonstrates how implicit measures can investigate paramount service-related subjects. Additionally, it provides essential methodological “need-to-knows” for assessing others’ work with implicit measures and/or for starting your own use of them.

This paper introduces when and why to consider integrating implicit measures in service research, along with a roadmap on how to get started.

The paper studies how the International Federation of Accountants (IFAC) positioned itself in the process through which capacity building in developing countries was interpreted and enacted within the global development aid agenda from 1999 to 2016.

The paper is an in-depth case study drawing on a comprehensive analysis of publications, reports and archival materials.

The paper unveils how IFAC shaped the interpretation of capacity building and its associated practices in a manner aligned with its expansionary aims thereby transforming itself into a prominent actor within, what we term, the capacity building issue-based field. It unpacks the strategies pursued by IFAC as it mobilised economic, social and cultural resources in support of its global capacity building ambitions for the accountancy profession. It reveals how key interactions between actors in the international development exchange field and the professional exchange field of accounting underpinned IFAC’s infiltration of, and impact on the evolution of, the capacity building issue-based field. We show how IFAC increased its influence in this field despite initially operating on the periphery of the global development aid agenda.

The paper reveals how the global accountancy profession’s engagement with the capacity building activities of international development agencies became central to its commitment to serving the public interest. Our analysis suggests that deeper explorations of capacity building by the global accountancy profession in specific developing countries are required in order to determine whether these efforts have effectively catered to the needs of the citizens of those countries.

The work of professional accountancy organizations (PAOs) operating at the global level in the area of capacity building has been addressed in a fragmented fashion in prior research. This paper presents a unique analysis of developing alliances between the global accountancy profession and international aid agencies aimed at supporting the globalising efforts of IFAC within the realm of capacity building in international development aid. Theoretically, the paper advances prior work exploring the evolution of issue-based fields, in particular the role of inter-field relations in interstitial spaces within these processes.

By harnessing technology developments such as Internet-of-Things (IoT)-enabled intelligent sensors and immersive virtual reality (VR) experiences, facility managers can access real-time, precise information on thermal comfort-related indicators through virtual facility models. While prior research studies have developed key technologies for improving the understanding of thermal comfort and its impact on the occupants’ well-being and productivity, there remain areas yet to be explored, especially in relation to integrating both real-time data from multimodal IoT-enabled smart sensors and VR technologies. Hence, this study demonstrates the potential of integrating IoT and VR technologies for real-time thermal comfort assessment and visualization as well as user interaction with HVAC systems to enhance thermal comfort.

To develop the proposed integrated analytical framework in this paper, various steps were implemented. First, four multimodal IoT-enabled sensing stations were created and installed to collect real-time thermal comfort-related data (i.e. temperature and relative humidity). Second, a VR environment was developed using the Unity engine to offer an immersive experience. Third, the real-time data from the IoT-enabled sensing stations was integrated into the VR environment by transmitting it to the cloud via the MQTT protocol server, and various programming scripts were developed to provide multiple functionalities to the users, including visualizing the thermal comfort along the entire indoor space as well as interacting with and controlling the cooling and heating HVAC systems. Fourth, the applicability and effectiveness of the developed framework was validated and evaluated by 92 participants using a survey questionnaire.

The obtained survey results validated the importance and effectiveness of the developed framework on various aspects including graphical satisfaction, spatial presence, involvement, experienced realism, low-to-no cybersickness and overall application satisfaction, among others. More specifically, the findings reflected that the participants’ average scores for graphical satisfaction, sense of spatial presence, involvement and experienced realism were 4.69, 4.61, 4.71 and 4.53 out of 5, respectively. Hence, the results showed that the visualization capabilities of the developed framework serve as a powerful feature that enables a comprehensive visualization of thermal comfort variations across the entire room/office space. Also, the results showed that there were no statistically significant differences between the responses of participants with prior VR experience with those from participants with limited-to-no prior VR experience, thus further highlighting the usefulness of the proposed technology not only for experienced users but also for users from different skills and background.

This research has the potential to revolutionize the way built environments are managed and interacted with, where facility managers can monitor, assess and visualize thermal comfort in real-time as well as interact with the HVAC systems and control multimodal IoT devices in the real-world from a distance through virtual facility models. The proposed framework’s ability to provide dynamic and continuously updated assessments of thermal conditions in real-time positions it as a valuable tool for prompt adjustments to optimize occupants’ comfort levels. Ultimately, the proposed framework provides an intuitive and immersive platform to manage thermal comfort, thus promoting healthier, more productive and eco-friendly indoor environments.

Recently, due to the practicability in several domains, generative adversarial network (GAN) has successfully been adopted in the field of natural language generation (NLG). The purpose of this paper focuses on improving the quality of text and generating sequences similar to human writing for several real applications.

A novel model, GAN², is developed based on a GAN with dual adversarial architecture. We train the generator by an internal discriminator with a beam search technique to improve the quality of generated sequences. Then, we enhance the generator with an external discriminator to optimize and strengthen the learning process of sequence generation.

The proposed GAN² model could be utilized in widespread applications, such as chatbots, machine translation and image description. By the proposed dual adversarial structure, we significantly improve the quality of the generated text. The average and top-1 metrics, such as NLL, BLEU and ROUGE, are used to measure the generated sentences from the GAN² model over all baselines. Several experiments are conducted to demonstrate the performance and superiority of the proposed model compared with the state-of-the-art methods on numerous evaluation metrics.

Generally, reward sparsity and mode collapse are two main challenging issues when adopt GAN to real NLG applications. In this study, GAN² exploits a dual adversarial architecture which facilitates the learning process in the early training stage for solving the problem of reward sparsity. The occurrence of mode collapse also could be reduced in the later training stage with the introduced comparative discriminator by avoiding high rewards for training in a specific mode. Furthermore, the proposed model is applied to several synthetic and real datasets to show the practicability and exhibit great generalization with all discussed metrics.