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This paper aims to find the effects of mothers’ schooling on child schooling.

This paper uses Bangladesh's Household Income and Expenditure Survey (HIES), which is a nationally representative survey. It employs the instrumental variable technique to estimate the intergenerational model.

Interestingly, the results show that the intergenerational transmission of schooling from mothers is slightly higher than that of fathers in Bangladesh.

Estimating the intergenerational model is challenging due to the endogeneity issue. The methodology used in this paper may help to find similar evidence from other countries.

The findings of the study may help to design and evaluate the educational policies in Bangladesh or a country like Bangladesh. For instance, the results of this paper suggest that the female stipend program (FSP) in Bangladesh is effective for the next generation’s schooling.

This paper is among the first to analyze the effect of mother’s schooling on the child’s schooling, controlling the father’s education and other household characteristics. In addition, it controls for endogeneity bias due to genetic transmission.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0491

This study aims to conceptualize, rethink and systematize methods used for measurement and evaluation (M&E) corporate communication.

The reflection is based on 462 key English-language books and papers devoted to M&E in the fields of corporate communication and public relations from the 1970th to 2023. Keywords in the titles and abstracts found the necessary materials. A critical analysis of the central concepts, models and methods described in the literature was conducted. As a result, a new model that unifies and structures the M&E toolkit is proposed for discussion.

Despite the significant contribution to developing a wide range of M&E models, they are still not perfect and universal. In addition, this system of approaches is continuously self-evolving and changing under the influence of digital innovations, so it requires steady rethinking and updating. On the other hand, most previous studies focused on communication management processes, losing focus on communication aspects. This led to the need for an alternative view based on proven theories to fill this gap. The proposed model combines quantitative and qualitative M&E methods for the five main components of corporate communication (communicator, audience, content, channels and result), covering a wide range of tools, from statistical and sociological research to big data analysis and neuro research.

This work contributes to developing the M&E theory of corporate communication, systematizing existing methods and opening new research perspectives. From a practical point of view, companies can use the presented approach for a more accurate and objective internal evaluation of the main components of corporate communication.

The purpose of this study is to empirically investigate how external debt vulnerability has affected the economy of emerging countries over time, with particular reference to Sub-Saharan African countries. It also deals with the policy issues associated with the economic effects.

The techniques of dynamic ordinary least squares and fully modified ordinary least squares are used in this investigation, covering the period 1990–2022. A panel of 43 Sub-Saharan African countries is used in the study.

The estimation results reveal that external debt vulnerability impacted negatively on economic growth, thus validating the concerns raised about the debt problem in Sub-Saharan Africa. Furthermore, the results revealed that domestic credit and openness of economy played a passive role and were therefore unable to cushion the adverse effect of debt vulnerability. Capital stock, however, stands out as the only variable that played a significant positive role in facilitating economic growth. The results are considered to be highly reliable for short-term forecast of economic growth and formulation of relevant policies.

Over the years, economic analysts and stakeholders have expressed concern about the inadequate ratio of foreign reserves to external debt in developing countries. The effect of this external debt vulnerability on the economy of these countries has yet to be given sufficient attention by researchers. In view of this perceived void, this current study is carried out to determine the economic and policy consequences of the problem.

This paper aims to discuss artifacts and how they influence the performative scheme of the routine and human agency. Artifacts emerge from a heterogeneous network of technical and social elements, which implies assuming that they strongly influence the performance of a routine and the organizing.

This essay starts from an established theoretical framework to develop reflections and propose that the artifacts entangle part of organizational knowledge and that the artifact's role is structured by their enactment in performing a routine, which gives them meaning and a sense of purpose.

The propositions contribute to theoretical and empirical advances by offering new insights for analysing the role of artifacts in routine dynamics. The main arguments presented are about (i) the existence of a potential role and a performed role for artifacts, (ii) that the artifacts' role evolves from knowledge and know-how embedded in routines and their actants and (iii) that artifacts are connected through networks of routines, and they embed a vast repertoire of knowledge and expertise.

Also, it proposes a fruitful research agenda based on the main reflections. Finally, the thoughts presented open a pandora's box to reflect on the intertwining between human and artifacts, not just in organizing but also in everyday social life.

This paper explores organization-level racialized work strategies for maintaining racialized organizations (Ray, 2019). It focuses on intentional actions to maintain dominant racial norms, demonstrating how work strategies are informed by dominant racial structures that maintain racial inequities.

We compiled a chronological case study (Yin, 2012) based on 168 news media articles and various organizational documents to examine responses to athlete protests at the University of Texas at Austin following the death of George Floyd. Gioia et al.’s (2013) method uncovered how dominant racial norms inform organizational behaviors.

The paper challenges institutional theory neutrality and identifies several racialized work strategies that organizations employ to maintain racialized norms and practices. The findings provide a framework for organizations to interrogate their strategies and their role in reproducing dominant racial norms and inequities.

In 2020, the Black Lives Matter (BLM) movement was reinvigorated within sporting and corporate domains. However, many organizations engaged in performativity, sparking criticism about meaningful change in organizational contexts. Our case study examines how one organization responded to athlete activists’ BLM-fueled demands, revealing specific racialized work strategies that maintain structures of racism. As organizations worldwide disrupt and discuss oppressive structures such as racism, we demonstrate how organizational leadership, while aware of policies and practices of racism, may choose not to act and actively maintain such structures.

Drawing on affective events theory, the purpose of this paper was to investigate direct and indirect relationships between perceived organizational politics and workplace cyberbullying (WCB) perpetration mediated through anger, as well as to examine the moderating role of gender in these relationships.

The sample comprised 534 white-collar employees who were employed in a variety of service industries, including banking, higher education, telecommunications, health care and insurance in Islamabad, Pakistan. Data were analyzed using the structural equation modeling technique in Amos.

Results demonstrated that perceived organizational politics has a direct positive effect on WCB perpetration. Moreover, results indicated that perceived organizational politics evokes anger among employees that, in turn, triggers WCB perpetration. Results of a multigroup analysis revealed that the positive effect of perceived organizational politics on WCB perpetration was not significantly different between men and women. However, the positive relationship between perceived organizational politics and anger was significantly stronger for men than for women. Likewise, this study found a significantly stronger relationship for men than for women between anger and WCB perpetration. Anger partially mediated the relationship between perceived organizational politics and WCB perpetration only among men.

This study contributes to the literature by demonstrating that perceived organizational politics triggers WCB perpetration directly and indirectly through its impact on anger. Moreover, this study identified gender differences in the experience and expression of anger in response to perceived organizational politics.

This paper examines and empirically validates the artificial intelligence-enabled human resource management (AI-enabled HRM) dimensions and sustainable organisational performance (SOP) relationship. It also examines the mediation and moderation of employee engagement (EE) and fusion skills (FS).

The indirect effects of AI-enabled HRM dimensions on SOP were found using structural equation modelling (SEM), bootstrapping and FS’s moderation effect by AMOS 22.

Results showed that AI-enabled HRM dimensions indirectly affected SOP through EE as a full and partial mediator with no moderation effects of FS.

This is the first study to link AI-enabled HRM dimensions, EE and SOP and determine how FS moderates EE and SOP.

Remote working has brought forward many challenges for employees as the phenomenon is still new for most employees across the globe. Some of these challenges may be addressed by the recent adoption of digital technologies by organizations. In this vein, our study explores the impact of digital platform capability on the creativity of employees through the mediating mechanism of explicit and tacit knowledge sharing.

The data were gathered from higher education institutes (HEIs) in a developing country, Pakistan which recently saw a major disruption during the Covid-19 pandemic. The proposed hypotheses were tested through Structural Equational Modeling (SEM) and the results confirmed our hypotheses.

The findings confirmed that the digital platform capabilities impact both tacit and explicit knowledge sharing among these remote employees. Likewise, the results also supported the mediating role of both explicit and tacit knowledge sharing on the creativity of these remote workers.

Our results are significant as they confirm the impact of digitalization on remote workers’ creativity predisposition. We thus advance the academic debate on the problems of knowledge sharing in remote working. We prove that digital capabilities outweigh the challenges created due to new forms of work driven by the pandemic. It further highlights the important areas to focus on while planning human resource policies in the new normal.

This study aims to investigate the impact of ethical accounting practices on financial reporting quality by using the extended theory of planned behaviour (ETPB) and integrating religiosity as a moderating variable.

Using a survey method, data was obtained from 371 chartered accountants who were in good standing as of April 2023. The collected data were then analysed using partial least squares structural equation modelling.

The results revealed that there is a significant positive relationship between ethical accounting practices (attitude, subjective norm, perceived behavioural control and ethical judgement) and financial reporting quality of accounting practitioners. Furthermore, a moderation test was conducted, which demonstrated that religiosity enhances the positive correlation between ethical accounting constructs (attitude, subjective norm and ethical judgement) and financial reporting.

Leading by example, top-level management should actively promote a culture of religiosity that prioritises integrity and adherence to financial reporting requirements.

To the best of the authors’ knowledge, this is one of the very few ethics studies in accounting that demonstrates that the application of the ETPB improves financial reporting quality in a context fraught with allegations of moral breaches by accountants.

Artificial intelligence (AI) is a powerful and promising technology that can foster the performance, and competitiveness of micro, small and medium enterprises (MSMEs). However, the adoption of AI among MSMEs is still low and slow, especially in developing countries like Jordan. This study aims to explore the elements that influence the intention to adopt AI among MSMEs in Jordan and examines the roles of firm innovativeness and government support within the context.

The study develops a conceptual framework based on the integration of the technology acceptance model, the resource-based view, the uncertainty reduction theory and the communication privacy management. Using partial least squares structural equation modeling – through AMOS and R studio – and the importance–performance map analysis techniques, the responses of 471 MSME founders were analyzed.

The findings reveal that perceived usefulness, perceived ease of use and facilitating conditions are significant drivers of AI adoption, while perceived risks act as a barrier. AI autonomy positively influences both firm innovativeness and AI adoption intention. Firm innovativeness mediates the relationship between AI autonomy and AI adoption intention, and government support moderates the relationship between facilitating conditions and AI adoption intention.

The findings provide valuable insights for policy formulation and strategy development aimed at promoting AI adoption among MSMEs. They highlight the need to address perceived risks and enhance facilitating conditions and underscore the potential of AI autonomy and firm innovativeness as drivers of AI adoption. The study also emphasizes the role of government support in fostering a conducive environment for AI adoption.

As in many emerging nations, the AI adoption research for MSMEs in Jordan (which constitute 99.5% of businesses), is under-researched. In addition, the study adds value to the entrepreneurship literature and integrates four theories to explore other significant factors such as firm innovativeness and AI autonomy.