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The purpose of this paper is to conceptualize job immobility concepts, e.g. staying in an unsatisfying job and perceiving limited opportunities to move and apply for another job. The existing literature on this situation of job immobility in which the employee is experiencing stuckness in the job is scattered across research domains, limited in scope and existing constructs are not clearly defined or operationalized.

In this conceptual paper, the authors propose the construct “locked at the job,” by reviewing and building on the job immobility literature and the theory of control and self-regulation.

This study defines the concept that consists of two dimensions as feeling dissatisfied in the current job and inactivity due to perceived limited job opportunities. This study proposes a conceptual model of antecedents and consequences of locked at the job, based on the person-environment fit theory.

This conceptual paper allows value to be added in practice by the conceptualization of locked at the job, in addition to providing a preview with respect to conceptual causes and consequences of this phenomenon.

Research on this job immobility phenomenon is scattered across different research domains, limited in scope and the concept has not been clearly defined or operationalized.

Educators need to engage in continuous learning to ensure that their knowledge and practice responds to the changing needs of society and students. Collaborative approaches, in which social capital resource is exchanged, can serve as an effective way of facilitating such learning. With this systematic review, the authors identify the opportunities and benefits inter-school social capital networks might bring by exploring: (1) what inter-school networks are available internationally for primary and secondary schools, (2) the features and activities present within inter-school networks and (3) evidence of impact of inter-school network activities.

For this study, the authors employed a systematic review methodology. The review comprised the five stages of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses: PRISMA, 2021) protocol. The study findings derived from 111 research outputs (from a total of 1,221 originally identified).

The review highlights a number of different inter-school networks and their diverse purposes as well as key network features, such as the actors present in networks and the activities network participants engage with. At the same time, however, the authors only identify limited reliable evidence of the impact of inter-school networks.

The study fills a knowledge gap by exploring, for the first time, the presence, features of inter-school social capital networks available to school leaders as well as investigating the impact of these networks.

Population growth and urbanization pose several threats to terrestrial ecosystems, especially in forest ecological zones worldwide. This study examines the drivers of average willingness to pay (WTP) to restore urban forests in a developing country.

It utilizes survey data of households and employs a robust Heckman two-step estimator with bootstrapping to address the research objective.

The study underscores the role of income, gender, education and perception of the health benefits of forests as the underlying determinants of restoration bids by respondents. These drivers have a positive and statistically significant effect on forest restoration. Education and gender appear to be the most effective by magnitude, followed by the perception of health benefits, then income. Attention is therefore drawn to relevant economic, sociocultural and psychological factors towards the goal of forestry to improve well-being in urban centres.

This paper seeks to add methodological insights to the literature on reforestation and land use changes in the Accra metropolitan area and the local population’s WTP for reforestation in this area. In principle, this is a case study informing about the values people hold for forests in Ghana and Africa, where a knowledge gap exists with respect to their socio-economic valuation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0618

Despite being one of the most used dependent variables in expatriate management research, no clear-cut understanding exists of what expatriate success means. Thus, this study aims to propose an integrative definition of expatriate success by providing an overview of expatriate success's dimensions, antecedents, and their interplay.

A systematic literature review (SLR) was conducted to achieve the purpose. A total of 249 empirical studies (quantitative 111, qualitative 50, mixed-methods 17), literature reviews (67) and meta-analyses (4) on expatriate success were reviewed from Web of Science and Scopus databases published from 1990 until December 2021. The study selection criteria followed the PRISMA flowchart steps, and then descriptive and network analyses were performed to identify expatriates' success dimensions, antecedents and their interplay.

The findings show the interplay among antecedents and dimensions of expatriate success across three levels (individual, interpersonal and organisational) to clarify the concept of expatriate success. Also, the study offers a comprehensive definition of expatriate success based on the dimensions identified.

The suggested definition of expatriate success elucidates the “atheoretical”, multidimensional and socially constructed nature of the construct and hence, calls for more “theoretical”, multidimensional and subjective considerations of the term to ground human resource management practices addressed to attain expatriates' success.

This paper provides an integrative definition of expatriate success, giving greater insight into the construct, in addition to critically reflecting on it.

Due to globalization and digitalization, the world of work is undergoing comprehensive change. These trends are challenging management accounting (MA) and pressuring individuals and organizations to change. The literature postulates a replacement of traditional organizational careers by “new” career models characterized by dynamism and flexibility. However, the state of the art on careers in MA lacks empirical evidence and has disparate research interests.

In this study, the authors investigate the status quo of careers in MA, key influencing factors and assumed change in such careers. To do so, the authors conducted a quantitative empirical study, based primarily on the careers of 83 graduates of a department offering a MA major at a German-speaking university. Nine qualitative empirical interviews supplement the quantitative findings.

The authors’ findings indicate that while MA careers are changing, the characteristics of the profession are continuing to concur with the traditional organizational understanding of careers. Accumulated professional experience is the key factor to achieving a management position although management accountants tend to become more dynamic in terms of career paths and career understanding. Thus, employment in various functional areas opens new career paths in MA.

The methodology of analysing quantitative and empirical cross-sectional data and the resulting final sample size is too small to guarantee robust statistical inference. Moreover, further interviews would lead to greater data saturation.

The study sheds light on the under-researched question of how careers in MA proceed and develop. This could be of interest for practitioners working with management accountants such as personnel consultants.

This study contributes to the field through its comprehensive consideration of careers in MA in this changed context, thus providing new insights for academia and business practice.

The purpose of this study is to address United Nations’ sustainable development goals (SDGs) 8 and 9 from a service perspective. SDG 8 is a call to improve the dignity of service work by enhancing wages, working conditions and development opportunities while SDG 9 calls upon nations to construct resilient infrastructures, promote inclusivity and sustainability and foster innovation.

This study uses a bibliometric review to extract important themes from a variety of scholarly journals.

Researchers tend to investigate policy-level topics, such as national and international standards related to working conditions, while ignoring the experiences or well-being of workers occupying marginalized and low-opportunity roles in service organizations. Service researchers, educators and practitioners must collaborate to improve the state of service industries by conducting participatory action research, promoting grassroots organizing/advocacy, implementing digitized customer service and addressing workforce soft skills deficiencies.

The authors consider how service work can be transformed into respectable employment and present four specific ways nations can enhance their service industries.

Economic planners can view SDGs 8 and 9 as a framework for understanding and promoting the well-being of service employees and accelerating the productivity and innovation levels of the service sector.

The United Nations’ SDGs are examined from a services perspective, which increases their significance in service-dominated economies.

Environmental, social and governance (ESG) factors have become increasingly important in investment decisions, leading to a surge in ESG investing and the rise of sustainable investment assets. Nevertheless, challenges in ESG disclosure, such as quantifying unstructured data, lack of guidelines and comparability, rampantly exist. ESG rating agencies play a crucial role in assessing corporate ESG performance, but concerns over their credibility and reliability persist. To address these issues, researchers are increasingly utilizing machine learning (ML) tools to enhance ESG reporting and evaluation. By leveraging ML, accounting practitioners and researchers gain deeper insights into the relationship between ESG practices and financial performance, offering a more data-driven understanding of ESG impacts on business communities.

The authors review the current research on ESG disclosure and ESG performance disagreement, followed by the review of current ESG research with ML tools in three areas: connecting ML with ESG disclosures, integrating ML with ESG rating disagreement and employing ML with ESG in other settings. By comparing different research's ML applications in ESG research, the authors conclude the positive and negative sides of those research studies.

The practice of ESG reporting and assurance is on the rise, but still in its technical infancy. ML methods offer advantages over traditional approaches in accounting, efficiently handling large, unstructured data and capturing complex patterns, contributing to their superiority. ML methods excel in prediction accuracy, making them ideal for tasks like fraud detection and financial forecasting. Their adaptability and feature interaction capabilities make them well-suited for addressing diverse and evolving accounting problems, surpassing traditional methods in accuracy and insight.

The authors broadly review the accounting research with the ML method in ESG-related issues. By emphasizing the advantages of ML compared to traditional methods, the authors offer suggestions for future research in ML applications in ESG-related fields.