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Today, companies are struggling to develop their human resources analytics (HRA) capability, although interest in the subject is rapidly increasing. Furthermore, the academic literature on the subject is immature with limited practical guidance or comprehensive models that could support organisations in the development of their HRA capability. To address this issue, the aim of this paper is to provide a maturity model – i.e. HRAMM – and an interdependency matrix through which an organisation can (1) operationalise its HRA capability and assess its organisational maturity; (2) generate harmonious development roadmaps to improve its HRA capability; and (3) enable benchmarking and continuous improvement.

The research described in this paper is based on the popular methodology proposed by Becker et al. (2009) and the procedure for maturity evaluation developed by Gastaldi et al. (2018). This method combines academic rigour and field experience in analytics, in a process spanning eight main phases that involves literature reviews and knowledge creation techniques.

We define HRA maturity through four areas and 14 dimensions, providing a comprehensive model to operationalise HRA capability. Additionally, we argue that HRA maturity develops through an evolutionary path described in four discrete stages of maturity that go beyond traditional analytics sophistication. Lastly, the interdependency matrix reveals specific enablers for the development of HRA.

This paper provides practitioners with useful tools to monitor, evaluate and plan their HRA development path. Additionally, our research helps practitioners to prioritise their work and investment, generating an effective roadmap for developing and improving their HRA capability.

To the best of the authors’ knowledge, this study is the first to provide a model for evaluating the maturity of HRA capability plus an interdependency matrix to evaluate systematically the prerequisites and synergies among its constituting dimensions.

This paper examines the socio-political affordances of metrics in research evaluation and the consequences of epistemic injustice in research practices and recorded knowledge.

First, the use of metrics is examined as a mechanism that promotes competition and social acceleration. Second, it is argued that the use of metrics in a competitive research culture reproduces systemic inequalities and leads to epistemic injustice. The conceptual analysis draws on works of Hartmut Rosa and Miranda Fricker, amongst others.

The use of metrics is largely driven by competition such as university rankings and league tables. Not only that metrics are not designed to enrich academic and research culture, they also suppress the visibility and credibility of works by minorities. As such, metrics perpetuate epistemic injustice in knowledge practices; at the same time, the reliability of metrics for bibliometric and scientometric studies is put into question.

As metrics leverage who can speak and who will be heard, epistemic injustice is reflected in recorded knowledge and what we consider to be information.

This paper contributes to the discussion of metrics beyond bibliometric studies and research evaluation. It argues that metrics-induced competition is antithetical to equality and diversity in research practices.

In this paper, Picard–S hybrid iterative process is defined, which is a hybrid of Picard and S-iterative process. This new iteration converges faster than all of Picard, Krasnoselskii, Mann, Ishikawa, S-iteration, Picard–Mann hybrid, Picard–Krasnoselskii hybrid and Picard–Ishikawa hybrid iterative processes for contraction mappings and to find the solution of delay differential equation, using this hybrid iteration also proved some results for Picard–S hybrid iterative process for nonexpansive mappings.

This new iteration converges faster than all of Picard, Krasnoselskii, Mann, Ishikawa, S-iteration, Picard–Mann hybrid, Picard–Krasnoselskii hybrid, Picard–Ishikawa hybrid iterative processes for contraction mappings.

Showed the fastest convergence of this new iteration and then other iteration defined in this paper. The author finds the solution of delay differential equation using this hybrid iteration. For new iteration, the author also proved a theorem for nonexpansive mapping.

This new iteration converges faster than all of Picard, Krasnoselskii, Mann, Ishikawa, S-iteration, Picard–Mann hybrid, Picard–Krasnoselskii hybrid, Picard–Ishikawa hybrid iterative processes for contraction mappings and to find the solution of delay differential equation, using this hybrid iteration also proved some results for Picard–S hybrid iterative process for nonexpansive mappings.

This paper aims to analyze the benefits of the blockchain to the circular economy (CE), which is composed of both closed-loop supply chain (CLSC) systems and reverse omnichannel solutions. By ensuring transparency, traceability, visibility and security, the blockchain allows firms to acquire operational capabilities through a CLSC and service capabilities through a reverse omnichannel, which can boost business performance considerably. The related network of relationships can be reinforced by establishing incentives, which entail both smart contracts in the blockchain and active return approaches in CE.

After identifying the boundaries of the theoretical framework, several research hypotheses are developed according to the literature review and emerging gaps. These gaps link to the impact of the blockchain on CE systems (CLSC and reverse omnichannel), as well as the influence on business performance. The hypotheses are then tested using structural equation modeling and adopting a partial least squares-path modeling technique on a dataset composed of 157 firms. Finally, multigroup analysis is used to test the impact of incentives on the research hypotheses.

The blockchain facilitates a more efficient CE system, although reverse omnichannel solutions seldom bring any benefits to performance. The shift from a passive to an active return approach must be carefully evaluated. The CLSC network can benefit from an active return approach by developing appealing incentives for collectors and enhancing the positive effects of the blockchain. In contrast, consumer incentives can have detrimental effects on the blockchain. Various combinations of incentives can only bring a few business performance increases, while collector incentives are vital to reinforce the CE system's operational and service capabilities.

This paper takes a new approach toward the study of CE, which considers a dual circular system composed of a CLSC and a reverse omnichannel. The research explores whether the adoption of blockchain technology enables better return processes by improving the operations in CLSC and services in reverse omnichannel. Finally, this is the first empirical work to evaluate the benefits emerging from incentives, which can activate smart contracts in the blockchain and enable active return approaches in CE.

Since its development by Tinbergen (1962), the gravity model of international trade has widely been applied to analyse the effect of various factors on trade relationships between countries. Past studies on trade gravity vary not only in the mix of model variables but also in how they have come into the analysis. This study reviews existing literature on bilateral trade with an aim to identify influential predictors such as changes of trade policy and national development strategy and highlight important yet understudied factors such as transport and logistics infrastructure, and sustainable development. To demonstrate the needs to examine these critical factors across industry sectors, the study presents the case of textiles and clothing (T&C) production and trade between China and its trading partners as an illustration. Through the literature review, it shows how the gravity model can be applied to address current issues in international trade arena such as the potential trade war between the US and China, China’s Belt and Road Initiative (BRI), and other important factors shaping global T&C trade. This study offers future research directions for analysis of global trade in the T&C industry and contributes to the wider literature of international business and trade.

In the context of Portugal, this study examines the stereotypes of accountants held by laypeople and how they are influenced by financial crises and accounting scandals.

To better understand the social images of accountants, the authors adopt a structural approach based on the big five model (BFM) of personality. The authors test this approach on a Portuguese community sample (N = 727) using a questionnaire survey. The results are analyzed considering the socioanalytic theory.

The results suggest the existence of a stereotype dominated by features of conscientiousness, which is related to the superior performance of work tasks across job types. This feature comprises the core characteristics of the traditional accountant stereotype, which survives in a context challenged by financial scandals and crises. The findings highlight the social acceptance of accountants as an occupational group but do not suggest the possibility of accountants benefiting from the highest levels of social status when considered in relation to the traditional accountant stereotype.

By combining the BFM and the socioanalytic theory, this study provides a unique theoretical approach to better understand the social images of accountants. The findings demonstrate the suitability of using the BFM to study the social perceptions of accountants. They also indicate a paradox based on the survival of the traditional stereotype. This stereotype appears to be resistant to scandals and financial crisis, instead of being impaired, giving rise to another prototype with concerns about integrity.

Not all first-year university students possess the academic self-concept necessary for an effective transition from high school to university. This may impact their aptitude for learning so negatively that their engagement in lifelong learning (LLL), a prerequisite for success at and beyond university, may be limited. Therefore, the relationship between self-concept and LLL tendency is critical. This paper aims to describe this relationship among Arab first year university students. 149 students (77 males and 72 females) in two consecutive courses were involved in the study. Data were collected using two surveys, one on students’ self-concept, and another on their LLL tendency. Comparisons were made to determine whether gender and courses attended played a role in students’ academic self-concept and LLL tendency. The relationship between academic self-concept and LLL tendency was also analyzed. Results showed that students possessed a relatively high academic self-concept and that their LLL tendency scores were higher than the scale midpoint. The female students’ scores for academic effort (a sub-scale of self-concept), and for curiosity (a sub-scale of LLL), were comparatively higher than those for males. The courses attended did not make a significant difference in students’ perception of their academic self-concept; however, students in the second level course scored higher for self-regulation, a sub-scale of LLL, therefore receiving a slightly higher rating for LLL. Results also indicated a positive relationship between self-concept and LLL scores. The association between the academic effort and self-regulation domains of the scales was noteworthy. Recommendations are made to enhance students’ academic self-concept and LLL tendency, with an aim to strengthen the relationship between the two concepts.

ﻻ ﯾﻣﺗﻠ ك ﺟﻣﯾ ﻊ طﻼب اﻟ ﺳﻧﺔ ا ﻷوﻟ ﻰ ﻓ ﻲ اﻟ ﺟﺎ ﻣﻌﺔ ﻣﻔﮭوم اﻟذا ت ا ﻷﻛﺎدﯾﻣ ﻲ اﻟ ﺿ رور ي ﻟ ﻼﻧﺗﻘﺎ ل اﻟﻔﻌﺎ ل ﻣ ن اﻟ ﻣد رﺳﺔ اﻟﺛﺎﻧ وﯾﺔ إﻟ ﻰ اﻟ ﺟﺎ ﻣﻌﺔ. ﻗد ﯾؤ ﺛ ر ھذا ﻋﻠ ﻰ ا ﺳﺗ ﻌدا دھم ﻟﻠﺗ ﻌﻠ م ﺑ ﺷﻛ ل ﺳﻠﺑ ﻲ ﻟ د رﺟﺔ أ ن ﻣ ﺷﺎ رﻛﺗ ﮭم ﻓ ﻲ اﻟﺗ ﻌﻠ م ﻣد ى اﻟ ﺣﯾﺎة ) LLL (، وھ و ﺷرط أ ﺳﺎ ﺳﻲ ﻟﻠﻧ ﺟﺎ ح ﻓ ﻲ اﻟ ﺟﺎ ﻣﻌﺔ وﺧ ﺎ رﺟﮭﺎ، ﻗد ﯾ ﻛو ن ﻣ ﺣدودًا. وﻟ ذﻟ ك، ﻓﺈن اﻟ ﻌ ﻼ ﻗﺔ ﺑﯾ ن ﻣﻔﮭوم اﻟ ذا ت واﺗ ﺟ ﺎه LLL أﻣر ﺑﺎﻟ ﻎ ا ﻷھﻣﯾ ﺔ. ﺗ ﮭد ف ھذه اﻟ ورﻗﺔ إﻟ ﻰ و ﺻ ف ھذه اﻟﻌ ﻼ ﻗﺔ ﺑﯾ ن ط ﻼ ب اﻟﺟ ﺎ ﻣﻌﺎ ت اﻟﻌر ب ﻓﻲ اﻟﺳ ﻧ ﺔ ا ﻷ و ﻟ ﻰ . ﺷ ﺎ ر ك ﻓ ﻲ اﻟد ر ا ﺳ ﺔ 149 ط ﺎ ﻟ ﺑًﺎ ) 77 ﻣن اﻟذﻛور و 72 ﻣن اﻹ ﻧﺎ ث( ﻓ ﻲ دورﺗﯾ ن ﻣﺗ ﺗﺎﻟﯾﺗﯾ ن. ﺗم ﺟﻣﻊ اﻟﺑﯾﺎﻧﺎ ت ﺑﺎ ﺳﺗ ﺧدا م ﻣﺳ ﺣﯾن ، أﺣدھﻣﺎ ﻋن ﻣﻔ ﮭوم اﻟ ذا ت ﻟ د ى اﻟط ﻼ ب ، وا ﻵﺧر ﻋن اﺗ ﺟﺎه LLL . أ ﺟرﯾ ت ﻣﻘﺎ رﻧﺎ ت ﻟﺗ ﺣدﯾد ﻣ ﺎ إ ذ ا ﻛ ﺎ ن ا ﻟ ﺟ ﻧ د ر و ا ﻟ د و ر ا ت ا ﻟ ﺗ د ر ﯾ ﺑ ﯾ ﺔ ﻗ د ﻟ ﻌ ﺑ ت د و ر اً ﻓ ﻲ ﻣ ﻔ ﮭ و م ا ﻟ ط ﻼ ب ا ﻷ ﻛ ﺎ د ﯾ ﻣ ﻲ ا ﻟ ذ ا ﺗ ﻲ و ا ﺗ ﺟ ﺎ ه LLL . ﻛﻣﺎ ﺗم ﺗ ﺣﻠﯾ ل اﻟ ﻌ ﻼ ﻗﺔ ﺑﯾ ن ﻣﻔ ﮭوم اﻟذا ت ا ﻷ ﻛﺎ دﯾ ﻣ ﻲ و اﺗ ﺟ ﺎه LLL . أ ظ ﮭر ت اﻟﻧﺗﺎﺋ ﺞ أ ن اﻟ ط ﻼ ب ﯾ ﻣ ﺗ ﻠ ﻛ و ن ﻣ ﻔ ﮭ و ﻣً ﺎ ذ ا ﺗ ﯾًﺎ ﻋ ﺎ ﻟ ﯾًﺎ ﻧ ﺳ ﺑ ﯾًﺎ ، وأ ن د رﺟﺎ ت ﻣﯾﻠ ﮭم ﻟﻠﻐﺔ ا ﻹ ﻧ ﺟ ﻠﯾ ز ﯾ ﺔ ﻛﺎﻧ ت أﻋ ﻠ ﻰ ﻣ ن ﻣﻧﺗ ﺻ ف اﻟﻧ طﺎ ق. ﻛﺎﻧ ت ﻧﺗﺎﺋ ﺞ اﻟ طﻼب ا ﻹﻧﺎ ث ﻟﻠ ﺟﮭد ا ﻷﻛﺎدﯾ ﻣ ﻲ )ﻣﻘﯾﺎ س ﻓ رﻋﻲ ﻟ ﻣﻔﮭوم اﻟ ذا ت(، وﻓﺿ ول )ﻣﻘﯾﺎ س ﻓ رﻋﻲ ﻣ ن LLL (، أﻋ ﻠ ﻰ ﻧ ﺳﺑﯾﺎ ﻣ ن ﺗﻠ ك ﺑﺎﻟﻧ ﺳﺑ ﺔ ﻟﻠ ذﻛور. ﻟ م ﺗ ؤد اﻟ دورا ت اﻟﺗ ﻲ ﺣ ﺿ رو ھﺎ ﻓ رق ﻛﺑﯾ ر ﻓ ﻲ إ د را ك اﻟ طﻼب ﻟ ﻣﻔ ﮭوﻣﮭم اﻟ ذاﺗ ﻲ اﻷﻛﺎدﯾ ﻣ ﻲ؛ وﻣ ﻊ ذﻟك ، ﻓﺈن اﻟ ط ﻼ ب ﻓ ﻲ دورة اﻟ ﻣ ﺳ ﺗ و ى اﻟﺛﺎﻧ ﻲ ﺣ ﺻ ﻠ وا ﻋ ﻠ ﻰ د رﺟ ﺎ ت أ ﻋ ﻠ ﻰ ﻓ ﻲ اﻟﺗﻧ ظ ﯾم اﻟذاﺗ ﻲ ، وھ و ﻣﻘﯾﺎ س ﻓ رﻋﻲ ﻟـ LLL ، وﺑ ﺎﻟﺗﺎﻟ ﻲ ﺣ ﺻ ﻠ و ا ﻋ ﻠ ﻰ ﺗ ﺻ ﻧ ﯾ ف أ ﻋ ﻠ ﻰ ﻗ ﻠ ﯾ ﻼً ﻟ ﻠ ـ LLL . أ ﺷﺎ ر ت اﻟﻧﺗﺎﺋ ﺞ أﯾ ﺿ ﺎ إﻟ ﻰ وﺟود ﻋﻼ ﻗﺔ إﯾ ﺟﺎﺑﯾ ﺔ ﺿ ﻌﯾﻔﺔ ﺑﯾن ﻣﻔﮭوم اﻟذا ت وﻧﺗ ﺎﺋﺞ ا ل LLL . ﻛﺎ ن ا ﻻ ر ﺗ ﺑ ﺎ ط ﺑ ﯾ ن ا ﻟ ﺟ ﮭ د ا ﻷ ﻛ ﺎ د ﯾ ﻣ ﻲ و ﻣ ﺟ ﺎ ل ا ﻟ ﺗ ﻧ ظ ﯾ م ا ﻟ ذ ا ﺗ ﻲ ﻓ ﻲ ا ﻟ ﻣ ﻘ ﺎ ﯾ ﯾ س ﺟ د ﯾ رً ا ﺑ ﺎ ﻟ ﻣ ﻼ ﺣ ظ ﺔ . ﻟذ ا ﻧ و ﺻ ﻲ ﺑﺄ ھﻣﯾ ﺔ ﻟ ﺗﻧﻣﯾ ﺔ ﻣﻔ ﮭوم اﻟ طﻼب ا ﻷﻛﺎ دﯾ ﻣ ﻲ اﻟذاﺗ ﻲ و اﺗ ﺟ ﺎه ال LLL ، ﺑﮭ د ف ﺗﻌزﯾ ز اﻟ ﻌ ﻼﻗﺔ ﺑﯾ ن اﻟ ﻣﻔ ﮭوﻣﯾ ن.

Online labour markets (OLMs) have recently become a widespread phenomenon of digital work. While the implications of OLMs on worker well-being are hotly debated, little empirical research examines the impact of such work on individuals. The highly competitive and fast-paced nature of OLMs compels workers to multitask and to perform intense technology-enabled work, which can potentially enhance technostress. This paper examines the antecedents and well-being consequences of technostress arising from work in OLMs.

The authors draw from person–environment fit theory and job characteristics theory and test a research model of the antecedents and consequences of worker technostress in OLMs. Data were gathered from 366 workers in a popular OLM through a large-scale online survey. Structural equation modelling was used to evaluate the research model.

The findings extend existing research by validating the relationships between specific OLM characteristics and strain. Contrary to previous literature, the results indicate a link between technology complexity and work overload in OLMs. Furthermore, in OLMs, feedback is positively associated with work overload and job insecurity, while strain directly influences workers' negative affective well-being and discontinuous intention.

This study contributes to technostress literature by developing and testing a research model relevant to a new form of work conducted through OLMs. The authors expand the current research on technostress by integrating job characteristics as new antecedents to technostress and demonstrating its impact on different types of subjective well-being and discontinuous intention. In addition, while examining the impact of technostressors on outcomes, the authors consider their impact at the individual level (disaggregated approach) to capture the subtlety involved in understanding technostressors' unique relationships with outcomes.

The Group of Twenty (G20) has substantial influence in global economic policy but has been peripheral in global education governance. There is intensification of education policy-relevant engagement within the Think 20 (T20), the “ideas bank” and official engagement group of the G20. The authors analyse the evolution of education as a policy domain within the T20, the ideas and discursive framing of education and global education policy “solutions” and assumptions about the G20 in education policy engagement.

The authors view the T20 as an external actor that can mobilise policy-relevant ideas to G20 actors responsible for internal policy selection and translation. The analysis covers the period 2018–2021 when education became an explicit T20 policy area. The authors screened all 461 T20 policy briefs across all domains. Of these, 32 briefs and four final T20 Summit communiqués were reviewed using critical discourse analysis. Data were supplemented via organisational websites and tacit professional knowledge.

Three assumptions on the G20 as an actor prevailed: (1) policymaker, (2) policy shaper and (3) knowledge mobiliser. The framing ideas on education were linked to assumptions on drivers of education system reform as intertwined with, or to enable: (1) economic adaptation, (2) technical adaptation and (3) socio-political adaptation of individuals and societies.

Accelerated education engagement within the T20 and its direct reach to G20 leaders makes it, and the G20, analytically unique and new unexamined actors of potential influence. The authors conclude that the T20 is positioned as a unique actor, both that can mobilise education policy-relevant ideas to G20 leaders, and legitimised as the actor from which G20 leaders and policymakers should adopt ideas.

International Journal of Emerging Markets (IJoEM) is a leading journal that publishes high-quality research focused on emerging markets. In 2020, IJoEM celebrated its fifteenth anniversary, and the objective of this paper is to conduct a retrospective analysis to commensurate IJoEM's milestone.

Data used in this study were extracted using the Scopus database. Bibliometric analysis, using several indicators, is adopted to reveal the major trends and themes of a journal. Mapping of bibliographic data is carried using VOSviewer.

Study findings indicate that IJoEM has been growing for publications and citations since its inception. Four significant research directions emerged, i.e. consumer behaviour, financial markets, financial institutions and corporate governance and strategic dimensions based on cluster analysis of IJoEM's publications. The identified future research directions are focused on emergent investments opportunities, trends in behavioural finance, emerging role technology-financial companies, changing trends in corporate governance and the rising importance of strategic management in emerging markets.

To the best of the authors' knowledge, this is the first study to conduct a comprehensive bibliometric analysis of IJoEM. The study presents the key themes and trends emerging from a leading journal considered a high-quality research journal for research on emerging markets by academicians, scholars and practitioners.