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This paper aims to determine the optimal date for an employee to initiate the pension payments from the New Zealand Government Superannuation Fund (GSF), through retirement or job shifting.

The paper uses discounted cash flow methods in conjunction with mortality tables, inflation estimates and a range of values for the yield on inflation-adjusted bonds in New Zealand.

The paper finds that, if job shifting is costless, then the optimal exit date is between 60 and 65. If job switching is costly, then this paper determines the effective salary reduction arising from continuing to work at the GSF-associated job beyond the optimal job switching age under costless job switching, arising from the adverse impact on the present value of the pension benefits, so as to assist in deciding when to switch jobs or retire. These effective salary reductions are small below 65 but rapidly rise after that, thereby significantly discouraging work much beyond age 65.

This paper assists GSF members to determine when to switch jobs or retire.

This paper explores the combined impact of past job histories and present job opportunities on turnover decisions. We predict turnover decisions on the basis of the structural approach, emphasizing previous work experiences (time spent in past job positions) and the organizational approach (focusing on objective and perceived internal and external employment positions opportunities). A cross‐sectional analysis of employees from four occupational groups in eight medical institutions and a follow‐up sample of 81 “quitters” formed the database for the study. The results suggest that past work history and present employment opportunities produce occupation‐dependent differences in turnover behavior. It is shown that differences in employees’ perception of opportunities, modified by the occupation’s “market viability”, influence turnover. These results demonstrate that integrating the structural and organizational approach, involving both past job histories and present opportunities, improve the prediction of turnover decisions.

The purpose of the paper “Commerce, jobs and politics: the impact of the USA–China trade on USA domestic politics” is to examine the impact of Chinese trade with the USA to determine the consequences of the trade on manufacturing employment. The geographic and sectoral impacts of this trade are assessed. The conclusion is that the USA–China trade has affected political polarization in such a way as to affect electoral outcomes. Implications for policy are discussed in the paper.

The overall design is a focused case study in terms of its focus on the USA–China trade relations. There is also a statistical component due to the breakdown of the USA in economic commuting zones.

The major finding is that Chinese import penetration created substantial political polarization in the USA and that polarization affected electoral outcomes. Chinese import penetration also resulted in a shift of jobs from the eastern heartland to the coasts. Much of the transition was aided by the restructuring of jobs within firms from manufacturing to high-end services.

Perhaps, the biggest limitation concerns how general and durable the findings are. The authors establish that the first decade after Chinese entry into the World Trade Organization (WTO) (2001) was characterized by economic disruption in the USA labor market. Whether the economic effects will have a longer duration is not known.

One practical limitation is that it is difficult to know what policy actions to take on the basis of the research: trade policy, human capital (education) policy or place-based policies which aid particular regions.

The social implications in this paper are jobs and employment policy.

The author thinks this is very original work, though based on the work of several economists. But outside of a few articles, the author does not think much has appeared in political science journals.

There is now a large amount of literature on gender wage differentials, but only a few studies have examined why men and women end up in different jobs and at different levels. This paper aims to study the extent of differences in career mobility between men and women.

The issue is analysed with the help of event history analysis based on Swedish event history data.

The authors find that differences do exist in career mobility between women and men. Women's chances of getting a better job are about half those of men. However, when analysing employees with more than 12 years in education, the difference between men and women is smaller. Part of the difference between women and men is explained by family‐related factors. Women spend much more time in family‐related non‐market activities and these factors also have a negative effect on their chances of career mobility.

This paper is useful to those wishing to examine the extent of differences in career mobility between men and women.

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.

The purpose of this paper is to understand the reason of attraction for the young professionals (who left their paid employment) to pursue social entrepreneurship (SE) education, to understand role played by SE education program on developing entrepreneurship knowledge and skills to create social impact and to explore the influence of SE education on their career choices and job-preferences.

This exploratory study uses qualitative methodology to collect data from 16 alumni of Master of Arts in Social Entrepreneurship (MASE) Program, Tata Institute of Social Sciences, Mumbai, India.

The findings indicate that the knowledge and skills learned through the MASE program played a significant role to create an entrepreneurial mindset and put such skills into action to create impact (as job creator/entrepreneur or job seeker/intrapreneur) as well any change in their career choice, job-preference and job-mobility. The findings force us to re-define “success of SE education”, as in both the cases, they are creating social impact using their entrepreneurship knowledge and skills. Career advancement and personal growth opportunities, and their willingness to create impact as decision makers act as strongest motivators to choose the program. Furthermore, the study also highlights the additional factors, which influence their decision of choosing/not choosing SE as career option.

The findings cannot be generalized. The qualitative data is analyzed inductively to arrive at the findings.

The findings are relevant for SE educators and also the policy makers. Promotion of SE education will not only create employment for others, but will also address several other social problems, and contribute to inclusive development of the country.

The uniqueness lies in understanding the motivations behind the decision of pursuing MASE program then followed by exploring the influence of SE education on their career choices and job-preferences.

In response to the station design and flexible resources allocation of the aircraft moving assembly line, a new problem named flexible resource investment problem based on project splitting (FRIP_PS), which minimizes total cost of resources with a given deadline are proposed in this paper.

First, a corresponding mathematical model considering project splitting is constructed, which needs to be simultaneously determined together with job scheduling to acquire the optimized project scheduling scheme and resource configurations. Then, an integrated nested optimization algorithm including project splitting policy and job scheduling policy is designed in this paper. In the first stage of the algorithm, a heuristic algorithm designed to get the project splitting scheme and then in the second stage a genetic algorithm with local prospective scheduling strategy is adopted to solve the flexible resource investment problem.

The heuristic algorithm of project splitting gets better project splitting results through the job shift selection strategy and meanwhile guides the algorithm of the second stage. Furthermore, the genetic algorithm solves resources allocation and job schedule through evaluation rules which can effectively solve the delayed execution of jobs because of improper allocation of flexible resources.

This paper represents a new extension of the resource investment problem based on aircraft moving assembly line. An effective integrated nested optimization algorithm is proposed to specify station splitting scheme, job scheduling scheme and resources allocation in the assembly lines, which is significant for practical engineering applications.

This study aims to analyze how ready a firm is to transform into Industry 4.0 using the Readiness Index (INDI 4.0) assessment. It also investigates the differences (before and after) of the program “Making Indonesia 4.0” in 2018 in socioeconomic and demographic aspects.

The INDI 4.0 assessment involved a self-evaluation by 622 companies across 13 industry sectors, subsequently verified by the Ministry of Industry. This study incorporates discussions with industry experts to enhance the interpretation of the analytical findings.

This study explores the interrelation among the components of INDI 4.0 across different levels, assessing the readiness of each sector for Industry 4.0. The findings reveal the diverse impact of implementing Industry 4.0 in Indonesia on socioeconomic and demographic aspects. Furthermore, the study proposes several policy recommendations for the Indonesian government’s consideration.

This study’s scope is confined to the industrial context of Indonesia, as the assessment components are tailored to the specific characteristics and culture of the country’s industry. Subsequent research endeavors can leverage this study as a foundational reference, adapting the components to align with the particular interests of other nations.

Businesses, especially those in Indonesia, can employ these findings to evaluate their position in the context of Industry 4.0 transformation compared to their industry. Simultaneously, the Indonesian government can use these results as a starting point to evaluate and potentially enhance their policies related to Industry 4.0. We recommend five policy proposals for the Indonesian government: diversifying measurement models, shifting terminology, emphasizing soft skills, promoting continuous learning and implementing Center of Digital Industry Indonesia 4.0 (PIDI 4.0) initiatives.

This study offers a broad impact of Industry 4.0 implementation in socioeconomic and demographic aspects in Indonesia, such as income, job-shifting, age, educational background and gender.

To the best of our knowledge, no prior research has explored the repercussions of industrial implementation on socioeconomic and demographic facets.

Environmental jolts and shifting membership challenge a group's efficacy and survival. Group identity is critical for a shared interpretation of and response to these challenges, but external and internal changes may require corresponding changes in a group's core identity. In a qualitative study of longshoremen in San Pedro, California, we observe an evolution in group identity as we track communication spoken and printed in the hiring halls, on the docks, and during casual social interactions. The emphasis in the shared language gradually shifts from safety and solidarity to safety, collaboration, and economic power. The newly developed language supports and shapes the longshoremen's identity and provides an interpretive guide for how to react to and benefit from disruptive external events.

The training challenges facing organisations resulting from changes over the next several decades are described. These include a decreasing number of persons available for entry level positions including a growing proportion of undereducated young people. Also, jobs will become more complex as a result of technological developments and yet will require more interpersonal interaction between individuals who have different values and who come from different cultures. These changes will result in the need for training systems to maximise the potential of each individual, including basic skill and support programmes for unskilled young people who will need to perform more cognitively complex tasks. Training will also be necessary to help managers work with a more diverse workforce including helping individuals understand how to provide support for persons who have not traditionally been a part of their work organisation.