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This study explores the topic of remote work and the changing motivations to working from home after the COVID-19 pandemic-induced exposure to working from home. It examines the effects of that forced work from home (WFH) experience on subsequent motivations for continuing part or all of that changed mode of working. In this study, the authors examine the perspective of front-line knowledge workers regarding the motivation to WFH based on their lived experiences.

Self-determination theory (SDT) provided the theoretical basis for the study (Ryan and Deci, 2000, 2017). The authors employed semi-structured individual and group interviews (with 28 participants) and explored the following questions: How has the competence aspect of motivation to WFH changed due to the shift that occurred during the pandemic? How has the relatedness aspect of motivation to WFH changed due to the shift that occurred during the pandemic? How has the autonomy aspect of motivation to WFH changed due to the shift that transpired during the pandemic?

The findings show that there was a change from an extrinsic motivation based on external factors to one that is more intrinsic, or internal, in nature for knowledge workers who experienced the switch to working from home during the COVID-19 pandemic. The study makes an important contribution by developing a theoretical model based on SDT (Ryan and Deci, 2000, 2017) in the context of WFH. In the first phase (Phase 1), workers experienced many transitional challenges due to the suddenness and intensiveness of the shift. However, over time workers adapted and adjusted (we refer to this as Phase 2 in our model). Ultimately, all three aspects of SDT – competence, relatedness and autonomy – increased motivation to work from home. However, we also found some factors that act as demotivators to knowledge workers for embracing remote work such as those involving career advancement and the expectation of voice. Despite these moderating factors, the overall progression toward the desire to WFH, at least on a hybrid basis, has continued after adjusting to the forced experience of telecommuting during the pandemic.

The contribution of this study is to disaggregate the short-term effects of the sudden transition, to the longer-term effects after adaption and adjustment occurred, and to connect that to a new perspective on work by employees. It does this by extending SDT to the context of motivation regarding work from home. The COVID-19 pandemic provided experience of and opportunities for telework to more employees and changed many of their expectations and motivations. By looking at front-line knowledge workers’ expectations and motivations related to home-based work, we can better understand the increased demand by workers for hybrid work schedules.

The purpose of this study is to adapt the incompressible smoothed particle hydrodynamics (ISPH) method with artificial intelligence to manage the physical problem of double diffusion inside a porous L-shaped cavity including two fins.

The ISPH method solves the nondimensional governing equations of a physical model. The ISPH simulations are attained at different Frank–Kamenetskii number, Darcy number, coupled Soret/Dufour numbers, coupled Cattaneo–Christov heat/mass fluxes, thermal radiation parameter and nanoparticle parameter. An artificial neural network (ANN) is developed using a total of 243 data sets. The data set is optimized as 171 of the data sets were used for training the model, 36 for validation and 36 for the testing phase. The network model was trained using the Levenberg–Marquardt training algorithm.

The resulting simulations show how thermal radiation declines the temperature distribution and changes the contour of a heat capacity ratio. The temperature distribution is improved, and the velocity field is decreased by 36.77% when the coupled heat Cattaneo–Christov heat/mass fluxes are increased from 0 to 0.8. The temperature distribution is supported, and the concentration distribution is declined by an increase in Soret–Dufour numbers. A rise in Soret–Dufour numbers corresponds to a decreasing velocity field. The Frank–Kamenetskii number is useful for enhancing the velocity field and temperature distribution. A reduction in Darcy number causes a high porous struggle, which reduces nanofluid velocity and improves temperature and concentration distribution. An increase in nanoparticle concentration causes a high fluid suspension viscosity, which reduces the suspension’s velocity. With the help of the ANN, the obtained model accurately predicts the values of the Nusselt and Sherwood numbers.

A novel integration between the ISPH method and the ANN is adapted to handle the heat and mass transfer within a new L-shaped geometry with fins in the presence of several physical effects.

The purpose of this study is to investigate the prevalence of earnings management in the Australian not-for-profit (NFP) disability service providers sector, as well as to understand the motivations for and implications of such practices. This research is important for stakeholders, such as members and funders, as well as the broader Australian community, considering the significant financial resources allocated to these organizations from the public purse.

The authors employ a longitudinal dataset containing financial data from 154 Australian NFP disability service providers, collected over a two-year period (2015–2016). Through the analysis of detailed balance sheets and income statements, the authors seek to uncover evidence of earnings management practices in this sector. The study’s results provide valuable insights into the behaviour of the charitable human services sector.

The findings reveal that Australian NFP disability service providers engage in earnings management practices, primarily aimed at reducing reported profits to meet the normative financial expectations of stakeholders, such as public sector funders and philanthropists. The executives of these organizations strive to report profits close to zero, being cautious not to report a loss, which might raise concerns about their sustainability.

The authors contribute to the existing literature on earnings management in the NFP sector by focussing on Australian disability service providers, an area that has been under-researched due to a lack of suitable data. The results offer insights into the incentives and implications of earnings management practices in this sector and highlight the need for a revaluation of accounting standards, reporting requirements and audit arrangements applicable to the NFP sector.

This project set out to explore information scholars’ perceptions of the influence of their keyword selections and the implications of their linguistic choices on possibilities for and perceptions of the field of Information Science. We trialed a narrative methodological approach to investigate the multiple stories told with specific keywords, how they relate to larger discourses within the field and the impact they have on the lives of information researchers.

This paper draws on Arthur Frank’s narrative analysis to consider keywords as stories, which shape one’s sense of professional identity and belonging. The analysis, which is informed by insights from multi-disciplinary scholars of keywords, employs data from a keywords-oriented workshop with Information School faculty and students, as well as an online questionnaire sent to heads of Information Schools.

We did not find a singular definitive story of information science scholars’ experiences with keywords. Rather we identify tensions surrounding common and contested understandings of discipline, canon and information, engaging the complexity of interdisciplinary, international, intellectual and moral claims of the field. This research offers insight into the experiential factors that shape scholars’ engagement with keywords and the tensions they can create.

A wealth of bibliometric analyses of keywords focuses on finding the “right” words to describe the scholarship you seek or the work you want others to discover. However, this study offers information researchers a novel approach, creating space to acknowledge the generative tensions of keywords, beyond the extractive logic of search and retrieval.

This paper aims to test the empirical validity of the dynamic trade-off theory in its symmetric and asymmetric versions in explaining the capital structure of a panel of publicly listed US industrial firms over the period from 2013 to 2019. It analyzes the existence of an adjustment of leverage toward its target level and whether the speed of this adjustment is influenced by the debt measure, the model specification or/and the fact that the actual debt ratio is higher or lower than its long-term target level.

This paper uses a quantitative research methodology using panel data analysis under the partial adjustment model and the error correction model using the generalized moment method in first differences and in systems to explore the dynamic nature of firms’ capital structure behavior.

The results show that the effects of the conventional determinants of leverage are globally consistent with the trade-off theory predictions. The dynamic versions confirm that firms exhibit leverage-targeting behavior. Although this speed of adjustment (SOA) depends on the debt and model specifications, it is around 60% on average. The estimated SOA is higher for the market leverage measure compared to the book leverage. The asymmetric adjustment model reveals that firms are more sensitive to reducing leverage than increasing it when they are away from their target; overleveraged firms exhibit approximately 5% faster adjustment than underleveraged firms when book leverage is used.

The originality of this research paper lies in its development and test of an asymmetric model to allow the leverage adjustment speed to vary depending on whether the firm’s debt ratio is above or below its target level and the methodological approach as well as the different model specifications used and the insights generated through the application of rigorous econometric techniques.

This study aims to investigate the institutional, macroeconomic and firm-specific determinants of financial leverage in Vietnam and provides new evidence from the dynamic panel fractional estimator.

This study uses a panel dataset of 859 Vietnamese firms from 2008 to 2022 and employs three estimators: Feasible Generalized Least Squares (FGLS), System Generalized Method of Moments (SysGMM) and Dynamic Panel Fractional (DPF), with DPF being particularly suitable for handling fractional dependent variables and the dynamic nature of financial leverage.

The results confirm the dynamic nature of the financial leverage model, with firm-specific factors, institutional factors and macroeconomic factors playing significant roles in shaping firms' financing decisions. The DPF estimator highlights the positive impact of stock market development on leverage. This study contributes to the literature by providing new evidence on the determinants of leverage in Vietnam, using the DPF estimator for more accurate estimation and revealing the significant impact of the size of the banking sector, the size of the stock market, the stock market development index, the financial development index and the corruption perception index on leverage.

This study contributes to the literature by providing new evidence on the dynamic nature of the financial leverage model and the impact of institutional, macroeconomic and firm-specific factors on financial leverage in the context of Vietnam. The use of the DPF estimator allows for a more accurate and reliable estimation of the determinants of leverage, considering the fractional nature of the dependent variable and the persistence of capital structure decisions over time.

This study empirically investigates the relationship between goodwill assets and capital structure (i.e. debt ratio) of firms and the moderating effect of financial market development on the relationship between goodwill assets and capital structure.

This research applied a quantitative method. The article collects large samples of listed firms from 23 developing and nine developed countries and applied the panel data techniques. This research used firm-level data from the DataStream database for both developed and developing countries. The study uses 4,912 firm-level data from 23 developing countries and 4,303 firm-level data from nine developed countries.

The findings reveal a significant positive relationship between goodwill assets and capital structure in developing countries, but goodwill assets have a significant negative relationship with capital structure in developed countries. Moreover, financial market development positively moderates the relationship between goodwill assets and the capital structure of firms in developing countries. The results inform firm managers that goodwill assets serve as additional collateral to secure debt financing. Moreover, policymakers should formulate a debt market policy that recognizes goodwill assets as additional collateral for the purpose of obtaining debt capital.

The study has several implications. First, goodwill assets are identified as a factor of capital structure in this study. Fixed assets have been identified as one of the drivers of capital structure in previous research, although goodwill assets are seldom included. Second, this article shows that along with demand-side determinants, supply-side determinants also play an important role in terms of the firms' choice about the capital structure. Therefore, firms should take both the demand-side and supply-side factors into consideration when sourcing for external financing (i.e. debt capital).

The study considered goodwill as a component of capital structure. The study analysis includes a large sample of enterprises, including 4,912 big firms from 23 developing countries and 4,303 large firms from nine industrialized or developed countries, which adds to the current capital structure information. Furthermore, a large sample size increases the results' robustness and generalizability.

ORCID is well recognised as a Persistent Identifier (PID) amongst the global academic community. The international literature is generally extremely positive towards this development. A minority of vociferous critics however have continued to dispute its benefits. Particular concerns have been noted around the potential for ORCID to be used as a tool for evaluation and surveillance by University management structures. This research sought to critically evaluate in-depth perceptions of ORCID in the Technological University (TU) sector in Ireland.

This study involved ten semi-structured interviews with academics and five with librarians in the TU sector. Reflexive thematic analysis informed by Heideggerian hermeneutic phenomenological principles was used to explore transcribed interview data.

The results demonstrate a clear difference in perceptions concerning ORCID, with library staff being very positive and uncritical, even arguing for mandatory adoption. Although some academics were using ORCID IDs in a performative manner, most were suspicious of, or resigned to their use. Concerns about ORCID ranged across various issues including employer surveillance, a lack of institutional autonomy and its inappropriateness for the sector. It is argued that academics in the TU sector have so far not had an opportunity to fully explore and articulate their vision for the future. In its current form ORCID represents a foreign, imposed and inappropriate tool that may facilitate willing or unwilling inclusion in the inequitable and crude “game” of global university league tables.

The paper offers an in-depth and critical analysis of ORCID adoption in Ireland based on perceptions amongst two stakeholder groups: academics and librarians.

This paper examines the relationship between open innovation (measured by exploratory and exploitative linkages) and firm-level innovative activity in the offshore renewable energy (ORE) sector.

A unique, purpose-built survey that targeted firms operating in the ORE sector and its supply chain was used. The data provides novel insights into the research activities and networking capabilities of an industry in its infant stages of development. Regression models are used to estimate the relationship between firm-level external linkages and innovative activity.

Exploratory linkages are positively related to more innovative activity. This relationship is subject to diminishing returns, distinguishing the ORE sector from other sectors. Collaborating with suppliers and accessing scientific journals are conducive to research and development (R&D) activity and process innovation, whilst collaborating with customers is associated with the decision to introduce new products and processes.

This study provides evidence of a positive, but curvilinear, relationship between external knowledge linkages and innovative activity, adding novel insights into the relationship between open innovation (OI) strategies, research and innovation outcomes for firms predominantly in the introductory stages of the technological life cycle with limited commercialisation experience. The nuanced finding that specific linkages matter for certain research and innovation (R&I) outcomes adds deeper complexity to March’s (1991) framework, where tailoring certain exploratory or exploitative linkages to specific innovation activities is important.

We conducted this study to examine the relationship between revenue concentration and a firm's financial leverage. We aimed to analyze whether revenue concentration influences a firm's capital structure decisions and whether this relationship is driven by customer-specific investments or the direct effect of revenue concentration itself. Additionally, we investigated the role of asset redeployability in mediating or moderating the relationship between revenue concentration and financial leverage.

The paper investigates the relationship between revenue concentration and a firm's financial leverage. The results indicate a negative association between revenue concentration and financial leverage. This finding holds across various regression models and is statistically significant. Furthermore, the paper explores the potential role of asset redeployability in explaining the relationship between revenue concentration and financial leverage. The results indicate that even after controlling for asset redeployability, the negative relationship between revenue concentration and leverage remains significant, suggesting that revenue concentration affects capital structure decisions independently of the risks associated with relationship-specific investments. Robustness tests are conducted using a three-stage least squares approach to account for the simultaneity between revenue concentration, asset redeployability and capital structure.

Our findings demonstrate that revenue concentration is negatively associated with financial leverage, even after accounting for asset redeployability. This suggests that revenue concentration affects capital structure decisions independently of the risks associated with customer-specific investments. Furthermore, we performed robustness tests to address potential simultaneity issues between revenue concentration, asset redeployability and capital structure.

The study relies on available data sources, which may have inherent limitations in terms of accuracy, completeness or consistency. The quality of the data used in the analysis could impact the robustness of the findings. Time Period: The study focuses on more recent years, which might limit the ability to compare the findings with studies conducted over different time periods. Historical trends or structural changes that could impact the relationship between revenue concentration and financial leverage might not be fully captured.

Firms with higher revenue concentration tend to have lower financial leverage. Recent years show a negative relationship between profitability and market leverage compared to earlier periods. Revenue concentration has a distinct effect on financial leverage, not fully explained by risks from relationship-specific investments or asset redeployability. Insights for firms in managing capital structure decisions, considering revenue concentration and its implications for leverage.

This research is one of the first papers that investigates the impact of revenue concentration on the capital structure choices of firms. By exploring the relationship between revenue concentration and financial leverage, the study contributes to the existing literature by shedding light on an underexplored area. Thus, this study adds originality to the field by addressing a research gap and contributing to the understanding of the relationship between revenue concentration and capital structure choices.