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By adopting a multilevel approach, this paper aims to examine the relationships among employee creativity and creative personality, domain expertise (i.e. individual-level factors), non-controlling supervision style and organizational learning culture (i.e. team-level factors). It also investigates the cross-level interactions between individual differences and organizational context influencing employee creativity.

Hierarchical linear modeling was performed to test the hypotheses using multisource data with 416 employees and their supervisors in 86 research and development teams.

This paper found that domain expertise and non-controlling supervision style are positively associated with employee creativity. Also, a positive moderating role of non-controlling supervision style was found in explaining the relationship between domain expertise and employee creativity. However, no significant relationship was found between creative personality and employee creativity, and there was no moderating effect of organizational learning culture. The paper discusses the theoretical implications of these findings and provides practical suggestions based on the findings.

This paper has begun to address the significant gap in the extant employee creativity literature and has departed from the common research practice of investigating creativity at a single level. It has expanded understanding of the antecedents of creativity with empirical evidence, as it revealed domain expertise and non-controlling supervision as influential factors. Further, domain expertise has generally positive effects on creative performance, whether non-controlling leadership is high or low. Additionally, this study brings an interesting insight in interpreting the contribution of organizational learning culture as measured by the Dimensions of Learning Organization Questionnaire to creativity and also affirms the importance of autonomy that increases intrinsic motivation and creativity. Another theoretical contribution of this study can be found from an intriguing contradiction in the literature that understands the role of expertise in creative performance. Moreover, the finding on non-controlling supervision supports the effectiveness of a freedom approach.

Reform of local political management continues to be part of the international agenda for change as governments seek to create the conditions for better performance in local government. The purpose of this paper is to investigate the impact of changes in political management upon the performance of local government, with England as a case study, and the implications for local government reform elsewhere.

Using statistical data derived from the system of comprehensive performance assessment (CPA), the analysis uses Kendall's tau to correlate CPA score per local authority against the respective political governance arrangement of each local authority in England.

As the correlation coefficient did not reach the level of statistical significance, the principal finding is that the relationship between different political governance arrangements and local authorities' performance is not demonstrated. The implications of this for governments' reforms of political management are discussed.

The data are based upon English sources and point to the importance of conducting comparable analysis in other societies that have undergone similar changes in local political management.

In instituting reforms of local governance, governments rarely pay serious attention to measurable outcomes and the paper suggests the value in so doing.

The specific relationship between local political management and performance has not previously been measured in precisely this way.

This paper aims to analyze the development of global human resource development (HRD) articles published in journals indexed in the Scopus database since 1960s until present time.

A publication collection of 1,905 articles collected from the Scopus database was downloaded and analyzed by using bibliometric techniques available in the VOSviewer and Biblioshiny software.

Three different development stages of HRD research have been identified: a seeding stage between 1962 and 1989, a growth stage between 1990 and 2007 and a development stage from 2008 onward. The USA and the UK were the biggest contributors who participated to 30.02% and 12.55% of articles in the collection and received 43.82% and 19.54% of the total number of citations, respectively. Scholars with the most publications and citations are mostly from the USA and the UK, and nine over ten most cited articles having first author’s affiliation located there. Emerald Group is the most popular publishing house, as five over ten most popular journals belong to this publishing house.

After six decades of development, it is necessary to examine the evolution of HRD research, its characteristics and its intellectual framework as this type of analysis is not yet available in the literature. This study helps scholars better understand this research field, as well as better prepare for future work in HRD.

To provide new observations about dynamic strain ageing in medium carbon microalloyed steels which are used for automotive applications.

The present work aims to provide theoretical and practical information to industries or researchers who maybe interested in the effects of dynamic strain ageing on mechanical properties of microalloyed steel. The sources are sorted into sections: introduction, experimental procedure, results and discussion, conclusion.

Microalloyed medium carbon steel was susceptible to dynamic strain ageing where serrated flow is observed at temperatures between 200 and 350°C. In this temperature regime, ultimate tensile strength and proof stress exhibit maximum values, however, elongation to fracture showed a decrease until 250°C, after which it increased. Above 350°C, a sharp decrease in tensile strength and proof stress were observed. Abrasive wear resistance of the microalloyed medium carbon steel was also increased at temperatures between 200 and 350°C due to dynamic strain ageing.

A search of the literature indicated that although there is considerable volume of information related to dynamic strain ageing in mild steel or in low‐carbon steel no extensive investigation has been made of dynamic strain ageing in microalloyed steel due to the ease with which nitrogen is combined AlN, VN, NbN, etc. which perhaps increase its implications.

A very useful source of information for industries using or planning to produce microalloyed steels.

This paper fulfils an identified resource need and offers practical help to the industries.

Reviewing the existing literature in the field of e-learning success reveals a considerable number of studies that primarily investigate the causal relationships proposed by the DeLone and McLean (D&M) information system (IS) success model. However, the various relationships in the D&M model have found different levels of support or even contradictory results within the empirical literature. To synthesize the existing knowledge in the field of e-learning success, the authors have conducted a meta-analysis of e-learning success studies using D&M to combine the quantitative results and validate the model in this field. Furthermore, a moderator analysis involving user types was performed to examine the situation under which they may have different effects.

For this purpose, through a systematic review of the studies, 44 independent studies were selected from 29 qualified related journals. In order to analyze the quantitative results of the studies, the meta-analysis of the effect sizes of the casual relationships in the D&M model has been used.

The findings indicated that all relationships of the model were supported. It was also revealed that the extent of effect sizes of the examined relationships depends on the type of user. Except for one relationship (user satisfaction and net benefit), all effect sizes of employees were more than those of students and teachers.

This meta-analysis reviewed the relationships found in the literature on D&M constructs in e-learning contexts. This study better explains the e-learning success factors by consolidating contradictory findings in the past researches and contributes to the existing e-learning success literature. The findings can assist educational institutions and organizations in decision-making because the findings resulting from the meta-analysis are more consistent than previous primary researches.

Despite the widespread use of the D&M model in the field of e-learning success, no study has yet consolidated the quantitative findings of these studies and the current field abounds in some controversies and inconsistent findings. This paper integrates the results of empirical studies that examined the relationships within the D&M model. The main contribution of this paper, which is the first of its kind, is to apply meta-analysis to reconcile the conflicting findings, investigate the strengths of the relationships in the D&M model and provide a consolidated view.

The purpose of this paper is to describe the evolution of the field of personality disorder since the publication of “Personality disorder: no longer a diagnosis of exclusion” in 2003.

A review of both the academic literature contained within relevant databases alongside manual searches of policy literature and guidance from the key stakeholders was undertaken.

The academic and policy literature concentrates on treating borderline and antisocial personality disorders. It seems unlikely that evidence will resolutely support any one treatment modality over another. Criticism has arisen that comparison between modalities misses inter and intra patient heterogeneity and the measurement of intervention has become conflated with overall service design and the need for robust care pathways. Apparent inconsistency in service availability remains, despite a wealth of evidence demonstrating the availability of cost-effective interventions and the significant inequality of social and health outcomes for this population.

The inclusion of heterogeneous sources required pragmatic compromises in methodological rigour.

This paper charts the recent developments in the field with a wealth of wide-ranging evidence and robust guidance from institutions such as NICE. The policy literature has supported the findings of this evidence but current clinical practice and what patients and carers can expect from services remains at odds. This paper lays bare the disparity between what we know and what is being delivered. The authors argue for the need for greater research into current practice to inform the setting of minimum standards for the treatment of personality disorder.

In this study, three models were empirically compared, the DeLone and McLean model, the Seddon model and the Modified Seddon model, by measuring the impact of a business intelligence system (BIS) in companies in Peru. After that, the mediators and dependent constructs were analysed to determine if they were behaving properly (a good level of variance explanation and significant relations with others constructs). The study used a sample of 104 users of the BIS, from companies in several important economic sectors, in a quasi-voluntary context and with six constructs: information quality, system quality, service quality, system dependence (system use), user satisfaction and perceived usefulness (individual impact).

To interpret the results, the authors used structural equations. The idea was to look for the best fit and explanations for the outcomes. The main difference in these models is that the DeLone and McLean model considers system dependence (system use) as a part of information system success, but in the Seddon model, it is a consequence of it.

The Seddon model seems to show the best fit and explanation for the outcomes. After that, a review of the system use construct was realised, because of its limited variance explained and the few significant relations with other constructs, to improve its explanation power in future research.

It is estimated that the sample includes more than 15 per cent of all the companies that use a BISs in Peru, so the size of the sample is adequate, but it is not entirely random and therefore limits the generalizability of outcomes. Besides that, a sample size that is bigger could be better for the sake of making a more detailed analysis, permitting the use of some items with less power, or the use of another statistical procedure for structural equations such as the Asymptotical Distribution Free, permitting a more detailed analysis (Hair et al., 2006).

Business intelligence (BI), one of the most important components of information systems (IS), is playing a very relevant role in business in this time of high competition, high amounts of data and new technology. Currently, companies feel pressured to respond quickly to change and complicated conditions in the market, needing to make the correct tactical, operational and strategic decisions (Chugh and Grandhi, 2013). BI is one of the most important drivers of the decade (Gartner, 2013). Big companies of IS are creating special units specialised in BI, helping companies become more efficient and effective in daily operations.

This study aims to empirically examine accounting information system (AIS) success at the organizational level during COVID-19 era.

Based on the information system success model, this paper developed its model and proposed a total of nine hypotheses. This paper gathered the required data via a questionnaire from Yemeni small and medium enterprises (SMEs) owners and managers. To test the proposed research model paths, SmartPLS software, which is known as partial least squares structural equation modeling, was used.

The results showed that the quality dimensions (information quality and system quality) positively affected the use of AIS and satisfaction; user satisfaction positively affected the use of AIS. Management support positively affected the AIS users' usage and satisfaction. Finally, the use dimensions (user satisfaction and usage) positively impacted the net benefits in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. In all, this research has succeeded in providing support for DeLone and McLean's IS success model at the organizational level during the COVID-19 era.

AIS is becoming increasingly important for SMEs in low-income countries like Yemen, particularly in the present pandemic conditions (COVID-19 era). By using AIS, users can access the enterprise's data and conduct transactions without being limited by distance. Indeed, AIS proved its ability in enhancing the net benefits at the organizational level in the COVID-19 era in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. However, AIS can only be considered useful to the enterprise if it is effective/successful.

This study is one of the first to have assessed the impact of AIS success at the organizational level in the era of COVID-19 pandemic, the context of Yemeni SMEs.

While most e-commerce studies focus on the understanding of online customer behaviour, mainly adoption and purchase behaviours. The purpose of this paper is to examine the relationship between e-commerce and individual performance. The authors test the role of systems, information and service quality in e-commerce use and user satisfaction. Trust may become an important aspect for a consumer’s decision making, based on this the authors identify the effect of the role of trust on e-commerce use, user satisfaction and its impact on individual performance. This research has theoretical and managerial implications, since the protagonism of e-commerce is increasing in both academia and industry.

The authors apply a research model that integrates information systems success dimensions and user behaviour in the form of trust. The empirical approach was based on an online survey questionnaire of 437 individuals from Portugal.

The results reveal that overall quality and overall trust are important to explain use and user satisfaction in the context of e-commerce, which further leads to individual performance. The findings indicate that a higher level of use and user satisfaction increase individual performance.

The authors integrate information systems success dimensions and overall trust to understand the significance of e-commerce individual performance. The authors expect the results to enrich the understanding of the importance of considering both technological and behavioural factors to increase the success of e-commerce.

WeChat official account (WCOA) is an emerging and important platform for academic library services, which greatly accelerates the development of this field. This article aims to identify key evaluation indicators for users' satisfaction of the Academic Library WeChat Official Account (ALWCOA) as a reference for future improvements.

Based on the updated DeLone and McLean (D&M)’s model and Delphi method, an evaluation system of ALWCOA satisfaction was constructed. Then 212 university students were recruited to fill out a questionnaire on evaluation indicators. The grey relational analysis (GRA) and Pareto's principle were employed to analyze the questionnaire and select key evaluation indicators.

An ALWCOA service satisfaction evaluation system with three evaluation dimensions and 15 evaluation indicators was constructed, and three key evaluation indicators were identified, including service responsiveness, information timeliness and system security.

This article provides a strategy for assessing ALWCOA service satisfaction, as well as insights for improving of ALWCOA service. Specifically, academic libraries should pay more attention to improving service responsiveness, information timeliness and system security.

This article innovatively applied the updated D&M model in academic library service. Additionally, it facilitates the development of research fields, such as academic library services, microservices and user service evaluation, and provides a case study to better understand the WCOA.