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Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

This study aims to adopt a systematic review approach to examine the existing literature on law and LLMs.It involves analyzing and synthesizing relevant research papers, reports and scholarly articles that discuss the use of LLMs in the legal domain. The review encompasses various aspects, including an analysis of LLMs, legal natural language processing (NLP), model tuning techniques, data processing strategies and frameworks for addressing the challenges associated with legal question-and-answer (Q&A) systems. Additionally, the study explores potential applications and services that can benefit from the integration of LLMs in the field of intelligent justice.

This paper surveys the state-of-the-art research on law LLMs and their application in the field of intelligent justice. The study aims to identify the challenges associated with developing Q&A systems based on LLMs and explores potential directions for future research and development. The ultimate goal is to contribute to the advancement of intelligent justice by effectively leveraging LLMs.

To effectively apply a law LLM, systematic research on LLM, legal NLP and model adjustment technology is required.

This study contributes to the field of intelligent justice by providing a comprehensive review of the current state of research on law LLMs.

The purpose of this study is to investigate the initial corrosion behavior of pure Mg, AZ31 and AZ91 alloys in phosphate buffer solution (PBS) and to characterize the features in corrosion type and resistance of the corrosion product layer.

The scanning electron microscopy, equipped with energy-dispersive spectroscopy, X-ray photoelectron spectroscopy and electrochemical impedance spectroscopy have been used to characterize the as-corroded samples. Besides, the Mg²⁺ concentration in PBSs has been determined by inductively coupled plasma atomic emission spectrum.

It has been found that pure Mg suffers pit corrosion, and AZ31 initially undergoes pit corrosion and then uniform corrosion dominates with an extended immersion duration. However, AZ91 exhibits the uniform corrosion with the highest corrosion rate among the three materials. Besides, the corrosion product layer on AZ31 has the best compactness and corrosion resistance.

The findings add depth in understanding the corrosion of pure Mg and its alloys in PBS and also have guiding significance in exploring the effects by alloyed elements to develop new biomaterials with better performance.

To improve the robustness of missile control system and reduce the error, a missile attitude adaptive control method based on active disturbance rejection control technology (ADRC) and BP neural network is innovatively proposed.

ADRC improves the performance of the missile control system by estimating and eliminating the total disturbance of the system. BP neural network adjusts the parameters of ADRC controller according to the state of the system to realize adaptive control. Based on the control system and missile dynamics model, the convergence analysis of the extended state observer and the stability analysis of the closed-loop system after embedding BP neural network are given.

The simulation results show that the adaptive control method can adjust the coefficient of error feedback rate according to the system input, output and error change rate, which accelerates the response speed of missile attitude angle and reduces the attitude angle error.

BP–ADRC further improves the robustness and environmental adaptability of the missile control system. The BP–ADRC control method proposed in this paper is proved feasible.

Different from the traditional ADRC, the BP–ADRC feedback signal proposed in this paper uses the output signal and its rate of the closed-loop system instead of the system state quantity estimated by extended state observer (ESO). This innovative method combined with BP neural network can make the system output meet the requirements when ESO has errors in the estimation of missile dynamics model.

This study aims to develop a bimodal nano-silver paste with improved mechanical property and reliability. Silicon carbide (SiC) particles coated with Ag were introduced in nano-silver paste to improve bonding strength between SiC and Ag particles and enhance high-temperature stability of bimodal nano-silver paste. The effect of sintering parameters such as sintering temperature, sintering time and the proportion of SiC particles on mechanical property and reliability of sintered bimodal nano-silver structure were investigated.

Sandwich structures consist of dummy chips and copper substrates with nickel and silver coating bonded by nano-silver paste were designed for shear testing. Shear strength testing was conducted to study the influence of SiC particles proportions on the mechanical property of sintered nano-silver joints. The reliability of the bimodal nano-silver paste was evaluated experimentally by means of shear test for samples subjected to thermal aging test at 150°C and humidity and temperature testing at 85°C and 85 per cent RH, respectively.

Shear strength was enhanced obviously with the increase of sintering temperature and sintering time. The maximum shear strength was achieved for nano-silver paste sintered at 260°C for 10 min. There was a negative correlation between the proportion of SiC particles and shear strength. After thermal aging testing and humidity and temperature testing for 240 h, the shear strength decreased a little. High-temperature stability and high-hydrothermal stability were improved by the addition of SiC particles.

Submicron-scale SiC particles coated with Ag were used as alternative materials to replace part of nano-silver particles to prepare bimodal nano-silver paste due to its high thermal conductivity and excellent mechanical property.

Building on the information processing perspective, the authors propose that both internal and external supply chain risk management (SCRM) practices play essential roles in mediating supply chain disruption orientation (SCDO) to exercise an influence on resilience. The authors also put forward analytics capability as an important moderator in the above-mediated relationship.

The authors collected 170 match-paired questionnaires from Chinese firms to test our model. The authors further interviewed some managers to supplement key quantitative results.

First, SCDO positively affects resilience via internal and external SCRM practices. Second, the mediating effects of internal and external SCRM practices are stronger when analytics capability is higher. Third, analytics capability positively moderates the positive effect of SCDO on SCRM practices. Meanwhile, it does not moderate the positive effect of SCRM practices on resilience.

Our study contributes to SCRM-related and IT-related literature by considering the content, mediating mechanisms (i.e. internal and external SCRM practices) and boundary conditions (i.e. data analytic capability) of SCDO in shaping resilience in the digital supply chain.

Our study helps remind managers that firms build disruption orientation, develop different SCRM practices and leverage analytics capability to improve resilience amid unexpected and unplanned disruptions.

Our study sheds light on the roles of both internal and external SCRM practices. Furthermore, this research helps explain how SCDO motivates resilience through SCRM practices, particularly for those firms that have higher analytics capability.

Love has been a recurring theme through history and literature, and its relevance to health, well‐being and quality of life has been widely acknowledged. However, the scientific study of love has not yet reached people with learning disabilities. The study reported here was based on research with 376 people with learning disabilities in Spain, and aimed to analyse their appraisal of love, loving relationships and related issues (global evaluation, satisfaction, role of the family and self‐determination). A Likert‐type measure was developed, and the outcomes indicate that the measures have satisfactory psychometric characteristics. It is also evident that the theoretical model of love for people without disabilities can be applied to individuals with disabilities, and includes three key factors (‘commitment, stability and idealisation’, ‘passion and physiological arousal’ and ‘intimacy and romanticism’). It also indicates that the perceptions of love in people with learning disabilities are relatively idealised and influenced by context, and interference from family and self‐determination are key issues.

This study aims to test how three types of institutional pressure (normative, coercive, and mimetic) influence supply chain digital embeddedness (SCDE) and how SCDE benefits supply chain (SC) competences.

The authors develop and test hypotheses through structural equation modeling (SEM) based on data from 201 European firms. Institutional theory is applied to determine the reasons that lead SCs to embed digitally. SCDE is assessed through three dimensions: technology, infrastructure and culture. The data were analyzed using SEM-partial least squares (PLS-SEM) modeling with SmartPLS software.

The findings show a positive relationship of normative and coercive pressures to SCDE but no relationship between mimetic pressures and SCDE. Additionally, results confirm a positive relationship between SCDE and SC competences that contribute to SC competitive advantage obtaining.

The results underscore the importance of analyzing the environment when undertaking digital projects. Key issues include SC culture and infrastructure in these projects and the advisability of anticipating potential influence of digitalization projects on SC competences that support the chain’s competitive advantage.

This study contributes to institutional theory by providing empirical evidence of the individual effect of the three types of institutional pressure, with noteworthy lack of influence from mimetic pressures. The paper also contributes a conceptualization of SCDE composed of three dimensions: digital technologies, digital infrastructure and digital culture. Finally, the study advances the literature on SC competences.

Drawing on the dynamic capabilities theory, this paper proposes that supply chain (SC) strategies (i.e. the lean SC and agile SC strategies) will mediate the relationship between big data analytics (BDA) and SC performance. Furthermore, from the perspective of strategic alignment, this study hypothesizes that the effect of the SC strategy on SC performance is differently moderated by the information system (IS) strategy (i.e. the IS innovator and IS conservative strategies).

This study used 159 match-paired questionnaires collected from Chinese firms to empirically test the hypotheses.

Results show the positive direct and indirect impact of BDA on SC performance. Specifically, the lean and agile SC strategies mediate the relationship between BDA and SC performance. Furthermore, the results indicate that the IS innovator and IS conservative strategies differentially moderate the effect of the lean and agile SC strategies on SC performance. Specifically, the IS innovator strategy positively moderates the effect of the agile SC strategy on SC performance. By contrast, the IS conservative strategy positively moderates the effect of the lean SC strategy on SC performance but negatively moderates the effect of the agile SC strategy on SC performance.

This study provides a comprehensive understanding of how SC and IS strategies can help firms leverage BDA to improve SC performance.

This study aims to examine the effects of trading partner trust and trading partner power, on supply chain integration, and their impact on business performance in the context of Web-enabled supply chains. In doing so, the authors extend previous studies by exploring this phenomenon by using an integrative theory-driven approach.

This study presents a theoretical model grounded on the resource-based and dynamic capabilities views and the social capital theory. Data collected from 175 firms in the USA are used to test the hypotheses using structural equation modeling.

Results highlight the importance of trust and supply chain integration on business performance, whereas power did not appear to have an effect on supply chain integration in Web-enabled supply chains. The findings are robust to concerns of endogeneity, common method bias and alternative model specification.

Companies engaged in Web-enabled supply chains need to focus on increasing their integration efforts, and these efforts must also be accompanied by partnerships built on trust. Trading partners who might be inclined to use coercive strategies to influence other members of the supply chain in Web-enabled environments may be better off using cooperative approaches based on trust to achieve their desired goals.

This study integrates the resource-based view, dynamic capabilities view and the social capital theory to explore the dynamic relationships between trading partner trust, trading partner power and supply chain integration in Web-enabled supply chains. In doing so, this paper extends prior studies by examining supply chain integration’s impact on business performance and its mediating role, as it relates to trading partner trust and power in Web-enabled supply chains.