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Discussion of unification was for several decades focused on the costs rather than the benefits for Korea, until reports emphasizing the latter were published by Goldman Sachs (2009) and various Korean think tanks over the past four to five years. Although these studies can be evaluated positively in pointing out the benefits of unification rather than the concerns about the costs, several questions can be raised. This paper tries to evaluate the quality and credibility of existing studies and suggests a new approach for estimating the impact of unification. It proposes a computational general equilibrium (CGE) model to be based on the social accounting matrix (SAM) and input-output (IO) table for the North Korean economy, in order to produce more reliable estimates of the benefits and costs of unification and the impact of various cooperative activities between the two Koreas.

Since it is difficult for researchers to access data for the North Korean economy, they typically choose a proxy economy for estimating the economic impact of the unification of the two Koreas using a computational general equilibrium (CGE). This paper aims to identify the best proxy economy for North Korea out of the 140 economies (countries) in the Global Trade Analysis Project (GTAP) database version 9.1, which was published in mid-2015. (Ed- if your study aim is ‘to identify the best proxy economy for North Korea’, then you must state your study finding here in the abstract, and also in the conclusion, i.e., Romania) This paper evaluates the input-output (IO) tables for the North Korean economy in existing studies. Comparing the coefficients for North Korea in existing studies with those of the countries selected for this paper, substantial differences were found, especially for the services sector. This casts some doubt on the IO tables in the existing studies on the North Korean economy.

This paper aims to analyse the short- and long-term effects of entering the Spanish labour market under tough economic conditions on young immigrant–native earnings and employment outcomes.

The authors use cohorts, where the entry cohort into the labour market is the unit of observation. As a database, the authors use the continuous sample of working histories covering the period 2007–2021. Then, the authors estimate the model using weighted least squares.

The results show that the great recession and COVID-19 led to a blockage at the entrance of the labour market, reducing the number of workers. Additionally, the authors observe an adverse impact in terms of employment and earnings on those entering the labour market. Besides, this effect varies in intensity and persistence for natives and immigrants, as well as by country of birth, age of entry, gender and educational level.

A contribution to the literature is the analysis of the earnings and employment trajectories of young people entering the Spanish labour market for the first time during an adverse shock, such as the 2008 economic crisis or the COVID-19 crisis, and the possible differences that exist between native and immigrant workers. So, the authors analyse the labour market trajectories of workers covering the most recent years. Likewise, the authors carry out an extensive heterogeneity analysis in which they distinguish workers by educational level, gender, age of entry into the labour market and immigrants by their country of birth. This represents an additional contribution. The use of a cohort approach also contributes to the existing literature.

This paper examines the moderating effect of environmental capability development on the relationship between supply chain integration and both environmental and financial performance.

The authors use empirical data collected from three diverse sources in the horticultural marketing sector. A total of 97 responses were used. An ordered logit analysis and ordinary least squares (OLS) regression were employed to test the hypotheses.

The results confirm that firm environmental capability development enhances the effects of supply chain integration on firm environmental performance. Additionally, supplier integration and environmental capabilities may be considered firm strategic capabilities that are positively related to financial performance. Thus, public policies should encourage the development of firms' individual environmental capabilities and supply chain integration to improve environmental sustainability.

This study recognizes the importance of environmental capability development as a strategic objective and its fundamental role as a complementary capability with supply chain integration. This paper contributes by empirically analyzing how firms along the supply chain can promote environmental sustainability through the development of environmental and integration capabilities.

With the recent proliferation of AI, organisations are transforming not only their organisational design but also the input and output operational processes of the hiring process. The purpose of this paper is to explore the organisational and operational dimensions resulting from the deployment of AI during talent acquisition process.

The authors conducted semi-structured interviews and meetings with human resources (HRs) professionals, recruiters and AI hiring platform providers in Sweden. Using an inductive data analysis rooted in the principles of grounded theory, the study uncovered four aggregate dimensions critical to understanding the role of AI in talent acquisition.

With insights from algorithmic management and ambidexterity theory, the study presents a comprehensive theoretical framework that highlights four aggregate dimensions describing AI’s transformative role in talent recruitment. The results provide a cautionary perspective, advising against an excessive emphasis on operational performance driven solely by algorithmic management.

The study is limited in scope and subject to several constraints. Firstly, the sample size and diversity are restricted, as the findings are based on a limited number of semi-structured interviews and meetings with HRs professionals, recruiters, and AI hiring platform providers. Secondly, the rapid evolution of AI technologies means that the study’s findings may quickly become outdated as new advancements and applications emerge.

The results provide managers with actionable information that can lead to more precise and strategic management practices, ultimately contributing to improved organizational performance and outcomes. Plus, enhancing their ability to make informed decisions, optimize processes and address challenges effectively.

The results signal both positive and negative impacts on employment opportunities. On the positive side, AI can streamline recruitment processes, making it easier for qualified candidates to be identified and hired quickly. However, AI systems can also perpetuate existing biases present in the data they are trained on, leading to unfair hiring practices where certain groups are systematically disadvantaged.

By examining the balance between transactional efficiency and relational engagement, the research addresses a crucial trade-off that organizations face when implementing AI in recruitment. The originality lies in its critique of the prevailing emphasis on e-recruiting.

Are there smart ways to find heuristics? What are the common principles behind heuristics? We propose an integrative definition of heuristics, based on insights that apply to all heuristics, and put forward meta-heuristics for discovering heuristics.

We employ Herbert Simon’s metaphor that human behavior is shaped by the scissors of the mind and its environment. We present heuristics from different domains and multiple sources, including scholarly literature, practitioner-reports and ancient texts.

Heuristics are simple, actionable principles for behavior that can take different forms, including that of computational algorithms and qualitative rules-of-thumb, cast into proverbs or folk-wisdom. We introduce heuristics for tasks ranging from management to writing and warfare. We report 13 meta-heuristics for discovering new heuristics and identify four principles behind them and all other heuristics: Those principles concern the (1) plurality, (2) correspondence, (3) connectedness of heuristics and environments and (4) the interdisciplinary nature of the scissors’ blades with respect to research fields and methodology.

We take a fresh look at Simon’s scissors-metaphor and employ it to derive an integrative perspective that includes a study of meta-heuristics.