Search results

The purpose of this study was to ascertain the relationship between EFL teachers' perception of the intended and unintended consequences of formative assessment (FA) decisions and their sense of self-efficacy and anxiety toward data-driven decision-making (DDDM).

A correlational research design and correlational/regression analysis was utilized to conduct this study. In addition, a thematic analysis was conducted of participants' responses to the open-ended questions.

Descriptive statistics suggest that most EFL teachers perceived both intended and unintended consequential validity of their FA decisions with a moderate level of DDDM self-efficacy and a low level of anxiety. The results of the correlational analysis indicated a strong positive relationship indicating that those with higher teachers' perceptions of consequential validity of formative assessment (TPCVFA) scores tended to report higher DDDM efficacy. The results of the correlational analysis also indicated that a significant relationship did not exist between TPCVFA scores and DDDM anxiety. Finally, multiple regression analyses revealed that TPCVFA was a significant predictor of DDDM efficacy; however, TPCVFA was not a significant predictor of DDDM anxiety.

Data collected from 114 Iranian EFL teachers using the Data-Driven Decision-Making Efficacy and Anxiety Inventory (3D-MEA, Dunn et al. 2013a) and the TPCVFA questionnaire, which was self-developed and validated for the current study.

The advent of artificial intelligence (AI) in the accounting landscape marks a significant shift, promising gains in efficiency and accuracy but also eliciting concerns about job displacement (JD) and broader socio-economic implications. This study aims to provide an in-depth understanding of how AI’s integration in accounting contributes to JD, reshapes decision-making processes and reverberates across economic and social dimensions. It also offers evidence-based policy recommendations to mitigate adverse outcomes.

Leveraging a cross-sectional survey disseminated through Facebook, this research used snowball sampling to target a diverse cohort of accounting professionals. The collected data were subjected to meticulous analysis through descriptive and regression models, facilitated by SmartPLS 4 software.

The analysis revealed a significant correlation between AI’s increasing role in accounting and a heightened rate of JD. This study found that this displacement is not isolated; it has tangible repercussions on decision-making paradigms, economic well-being, professional work dynamics and social structures. These insights corroborate existing frameworks, including, but not limited to, theories of technological unemployment and behavioural adjustments.

Although providing valuable insights, this study acknowledges limitations such as the restricted sample size, the cross-sectional nature of the survey and the inherent biases of self-reported data. Future research could aim to extend these initial findings by adopting a longitudinal approach and potentially integrating external data sources.

As AI technology becomes increasingly ingrained in accounting practices, there is an urgent need for coordinated action among stakeholders. Policy recommendations include focused efforts on talent retention, investment in upskilling programs and the establishment of support mechanisms for those adversely affected by AI adoption.

By synthesising a range of theoretical perspectives, this study offers a comprehensive exploration of AI’s multi-dimensional impacts on the accounting profession. It stands out for its nuanced examination of JD and its economic and social implications, thereby contributing to both academic discourse and policy formulation. This work serves as an urgent call to action, highlighting the need for strategies that both exploit AI’s potential benefits and protect the workforce from its disruptive impact.

Grounded in social cognitive career theory (SCCT), this study aims to examine the influence of contextual factors on the relationship between career satisfaction and organizational commitment, within the banking sector in Kuwait.

This study used a cross-sectional design analyzing a self-report questionnaire (N = 278).

This study investigates affective, normative and continuance commitment in relation to career satisfaction, within the banking sector in Kuwait. Findings indicate a positive relationship between career satisfaction and all of affective, normative and continuance commitment; although the relationship that appears to be the strongest is between career satisfaction and normative commitment.

The single site, cross-sectional approach is a limitation. The data were collected before the COVID-19 pandemic. Future research into career satisfaction and organizational commitment in different sectors is necessary and a replication of this study in a post-COVID context would also be valuable.

Human resource development (HRD) policies in contexts such as Kuwait should prioritize career progression initiatives to enhance career satisfaction and contribute to increased organizational commitment. More attention is necessary to organizational HRD career planning and development policies and processes. Effective line manager development programs to equip managers to provide feedback and constructive performance management are recommended, as is the organizational provision of career counseling and guidance to support career development policies and processes.

This study combines the use of established constructs with an SCCT theoretical lends to contribute new theorization of the relationship between career satisfaction and organizational commitment in non-Western cultural contexts. It challenges assumptions in current theorization of the relationship between career satisfaction and commitment that privilege affective commitment over other dimensions.

Engaging with heritage to support mental health and wellbeing has become a focus of research and policy, more recently moving towards social prescription of heritage interventions. While there are benefits to active participation, there are potential risks to those taking part and to the non-renewable historic remains and landscape that form the core of these projects. The purpose of the current research paper was to develop best practice guidelines for organisations offering heritage projects as interventions for people who live with mental health issues to protect both participants and heritage.

There were two research phases; a Sandpit with World Café discussions to produce a set of research priorities, and a Delphi Consultation, using three questionnaires distributed over six months, to develop best practice guidelines. The panel in both phases comprised experts through lived experience, policy, practice and research.

The Authentic and Meaningful Participation in Heritage or Related Activities (AMPHORA) guidelines cover three stages: project development, project delivery and project follow-up, with a set of action points for each stage. Of particular importance was authentic participation and expertise to ensure appropriate management of heritage/ historic environment assets and support for participants.

The AMPHORA guidelines can assist all organisations in the delivery of safe projects that support the mental health of those involved, as well as enhancing and protecting the historic environment.

To the best of the authors’ knowledge, these are the first research-led guidelines that help heritage organisations support those living with mental health issues.

Luxury as a construct warrants an assessment of entities promoting themselves as luxurious offerings. Therefore, this study attempts to evaluate the experiencescapes of luxury trains operating in developed and developing countries to assess the presence of luxury values in the elements affecting tourists' experiences and immersion.

Two different types of luxury trains were selected from across developed and developing countries for a holistic assessment of the experiencescapes. Through netnography and hermeneutic interpretation, this study analyzes 218 experiential descriptions on Tripadvisor from luxury trains of Australia, UK, Peru and India.

Although luxury trains in both the regions entailed financial, functional, social and individual value, they struggled to offer these values in conjunction. While the positioning of luxury trains in developing countries under the “inaccessible luxury” segment is exaggerated, developed countries were also found to struggle with customer service and management.

By emphasizing on areas within the control of the service providers, short-haul luxury trains can be a better fit in developing countries. Better usability testing and employee training should be undertaken to improve the functional values of luxury in long-haul luxury trains of developed countries.

This article not only assesses the validity of luxury trains' positioning but also provides new insights into the nature of the tourist immersion process. Having extensively discussed experiences in the backdrop of luxury, it contributes to the progression of literature on luxury trains, experiencescapes and immersion.

This study aims to analyze the impact of digital transformation on firm performance within the banking sector, specifically focusing on the Amman Stock Exchange (ASE)-listed banks from 2015 to 2022. Additionally, it explores the influence of gender dynamics on the implementation and outcomes of these digital transformation initiatives.

The study adopts a robust empirical approach, using manual content analysis of annual reports from ASE-listed banks. The Digital Transformation Disclosure Index (DTDI) is used to assess the extent and nature of digital transformation initiatives within these banks. The methodology is designed to provide a comprehensive evaluation of the correlation between digital transformation efforts, firm performance and gender dynamics.

The research reveals that digital transformation initiatives have a significant positive impact on the performance of ASE-listed banks. It also uncovers nuanced insights into the role of gender dynamics, indicating that gender diversity within firms influences the adoption and success of digital transformation strategies in complex ways.

The findings of this study contribute to the understanding of digital transformation in the banking sector, offering empirical evidence on its benefits for firm performance. Additionally, the study illuminates the intricate role of gender dynamics in digital transformation, providing a new perspective on organizational diversity within the context of technological change.

This research pioneers in academically linking digital transformation and gender dynamics within the banking sector, addressing a notable gap and introducing a fresh academic perspective. Practically, it equips banking executives and policymakers with actionable insights for gender-inclusive digital strategies, crucial for enhanced firm performance. Methodologically, the study sets a benchmark in research innovation, using the DTDI to offer a replicable model for future investigations in this evolving field.

The purpose of this paper is to have a deeper understanding of the nonlinear relationship between the impact of climate change on tourism development. Current studies on the effects of climate change on tourism development primarily rely on linear correlation assumptions.

Based on the New Institutional Economics theory, the institutional setting inherently motivates and ensures the growth of the tourism industry. For a precise evaluation of the nonlinear consequences of climate change on tourism, this paper concentrates on Chinese cities between 2011 and 2021, methodically analyzing the influence of climate change on tourism.

The study findings suggest that there is an “inverse U”-shaped nonlinear relationship between climate change and tourism development, initially strengthening and subsequently weakening. Based on these findings, the research further delves into how institutional contexts shape the nonlinear association between climate change and tourism growth. It was found that in a higher institutional backdrop, the “inverse U” curve tends to flatten and surpass the curve adjusted for a lesser institutional context. Upon deeper mechanism analysis, it was observed that cities with more advanced marketization, improved industrial restructuring and enhanced educational growth exhibit a more evident “inverse U”-shaped nonlinear connection between climate change and tourism evolution.

First, previous studies on climate change and tourism development largely rely on questionnaire data (Hu et al., 2022). In contrast to these studies, this paper uses dynamic panel data, which to some extent overcomes the subjectivity and difficulty of causality identification in questionnaire data, making our research conclusions more accurate and reliable. Second, this study breaks through the linear relationship hypothesis of previous literature regarding climate change and tourism development. By evaluating the nonlinear relationship of climate change to tourism development from the institutional pressure perspective, it more intricately delineates their interplay mechanism, expanding and supplementing the research literature on the relationship mechanism between climate change and tourism development. Thirdly, the conclusions of this study are beneficial for policymakers to better understand and assess the scope of climate change impacts. It also aids relevant departments in clarifying the direction of institutional environment optimization to elevate the level of tourism development when faced with adverse impacts brought about by climate change.

This paper aims to explore challenges and opportunities associated with young carers' employment in Australia.

Using a multi-stakeholder approach, this study captures the reflections of stakeholders (n = 8) and young carers (n = 10) about opportunities for, and experiences of, paid employment for young carers.

Despite many organisations internationally increasingly pushing diversity agendas and suggesting a commitment to equal opportunity experiences, this study found that young carers' work opportunities are often disrupted by their caring role. For young carers to be successful in their careers, organisations need to provide further workplace flexibility, and other support is required to attract and retain young carers into organisations and harness their transferrable skills for meaningful careers.

The paper highlights important implications for human resource management practitioners given the need to maximise the participation of young carers as workers, with benefits for young carers themselves, employers and society.

The research adds to the human resource management and work–family conflict literature in examining young carers through drawing on Conservation of Resources theory to highlight resources invested in caring leads to loss of educational and work experience resources. This leads to loss cycles and spirals, which can potentially continue across a lifetime, further contributing to disadvantage and lack of workplace and societal inclusion for this group of young people.

As young individuals transition from educational settings to embark on their career paths, their expectations for their future careers become of paramount importance. Ng et al. (2010) examined the expectations of young people in post-secondary education in 2007; those colloquially referred to as “Millennials” or “GenY”. The present study replicates Ng et al.'s (2010) study among a sample of post-secondary students in 2019 (referred to as Generation Z or GenZ) and compares the expectations of young adults in GenY and GenZ.

This study employs a time-lag comparison of GenY and GenZ young career entrants based on data collected in 2007 (n = 23,413) and 2019 (n = 16,146).

Today's youth seem to have realistic expectations for their first jobs and the analyses suggest that young people continue to seek positive, healthy work environments which make room for work–life balance. Further, young people today are prioritizing job security and are not necessarily mobile due to preference, restlessness or disloyalty, but rather leave employers that are not meeting their current needs or expectations.

Understanding the career expectations of young people allows educators, employers and policymakers to provide vocational guidance that aligns those expectations with the realities of the labor market and the contemporary career context.

While GenY was characterized as optimistic with great expectations, GenZ can be described as cautious and pragmatic. The results suggest a shift away from opportunity, towards security, stability, an employer that reflects one's values and a job that is satisfying in the present.

Digital transformation has gained particular interest among academics and policymakers in recent years. However, the empirical quantification of digital transformation stages and their impact on innovation in small and medium-sized enterprises (SMEs) remains understudied. Therefore, this study aims to investigate the impact of digital transformation stages on a differentiated measurement of innovation performance in SMEs.

The authors propose a simplified one-dimensional digital maturity path to estimate the stages of digital transformation in SMEs. The authors validate their approach with a cluster analysis and perform an ordered logistic regression to estimate the impact of digital transformation stages on SMEs' innovation performance.

The authors' results show that digital transformation in general has a positive impact on SMEs' innovation performance. More precisely, the authors find that the early stage of digital transformation has a detrimental effect on innovation performance, while significant and positive effects can be expected from the experimental stage onward. Furthermore, the advanced stage of digital transformation significantly increases the probability of producing radical innovations.

This study contributes to the ongoing discussion about the relationship between digital transformation and innovation in SMEs by presenting an approach to quantify digital transformation stages in SMEs. Additionally, this study provides new insights into the specific dynamics of the relationship between different stages of digital transformation and their impact on a differentiated measurement of innovation performance, including technological, non-technological and radical innovation.