The relationship between principals’ configuration of a bundle of HR practices for new teachers and teachers’ person–organisation fit

Abstract

Based on studies in the private sector showing the positive effects of strategic human resources management (SHRM) on performance, many stress the value of adopting SHRM in the public sector. However, until now, the argument for applying SHRM in the public sector remains largely theoretical. Especially in educational contexts, it is unclear through which mechanisms SHRM affects performance. Therefore, this paper zooms in on the relationship between the configuration of a bundle of human resources (HR) practices and person–organisation (P–O) fit. A mixed methods design was used to collect both qualitative and quantitative data from principals and teachers in 56 Flemish primary schools. The qualitative data, which provides insight into principals’ configuration of HR practices, were converted into numerical scores and analysed, together with the quantitative teacher data, using multilevel analysis. The results show that both principals’ strategic and HR orientation are associated with teachers’ P–O fit. This study contributes to the research field of SHRM in education by studying a bundle of HR practices and how this relates to the fit of teachers’ own values with the school culture. The practical implications for schools are discussed.     

Talent management of skilled migrants: propositions and an agenda for future research

This paper unpacks the dominant conceptualizations of talent management (TM) in contemporary academic publications, and considers these in relation to the increasingly important workforce population of skilled international migrants. It postulates that TM approaches are generally built from a relatively narrow human capital-based perspective wherein organizations focus on readily accessible and immediate skills, ignoring the longer term strategic potential of the international workforce of skilled migrants, particularly for multinational enterprises and other international organizations. Through a series of propositions, the paper highlights how organizations, in strategically using a more comprehensive TM lens rather than a human capital lens in approaching the TM of skilled migrants, could benefit from improved HRM performance over time. It also proposes a research agenda, by which future studies might test, explore, and further develop understanding on a more strategic utilization of skilled migrants in organizations.     

企业应收账款管理研究

我国经济已由高速增长阶段转向高质量发展阶段,“提升治理能力,实现高质量发展”是我国面对新变化、新趋势再一次作出的明确路径选择。如何加强应收账款的管理,已经成为现代企业管理中不容回避的问题。论文通过对LD公司应收账款管理的研究,提出改进方案和实施保障措施,有助于解决LD公司应收账款管理的实际问题,顺应企业高质量发展需求,提高应收账款管理能力,推动企业朝着更高质量、更可持续的方向发展。     

COVID-19 and business renewal: Lessons and insights from the global airline industry

The emergence of the COVID-19 pandemic has adversely affected the fortunes of multiple companies around the globe. Accordingly, questions are increasingly being asked about how organizations can revitalize during and after a crisis. Yet, we have limited understanding of how organizations renew themselves during crises over time. We explore this question through the lens and examination of two South-Asian airlines: Pakistan International Airlines and Sri Lankan Airlines. The cases offer important insights into the reasons behind underperformance of state-controlled enterprises and renewal activities. We shed light on strategic renewal (SR) in the wake of increasing liberalization and deregulations in the global airline industry. To this end, we propose a four-stage approach towards renewing such underperforming organizations to respond effectively to black swan events and external shocks.     

Unpacking the effect of strategic ambidexterity on performance: A cross-country comparison of MMNEs developing product-service innovation

This study tests whether strategic ambidexterity improves Product-service innovation (PSI) outcomes for manufacturing multinational enterprises (MMNEs). It also tests successful pathways to develop PSI properly by organizing exploitation and exploration activities. Data from a survey of 338 MMNEs are analysed through Structural Equations Modelling. The sample contains firms from five world regions, including emerging economies. This approach enables contrast to determine cross-country heterogeneity in PSI outcomes. The results show that, to maximise firm performance, PSI must be developed through a sequential Exploitation-Exploration pathway. Although this optimal sequence is consistent across all world regions (except Japan), noticeable contextual differences emerge in the relative importance of exploration and exploitation to firm performance. Our findings show that exploitation (i.e., cost efficiency through PSI design) and exploration (i.e., PSI R&D) capabilities are equally important in emerging economies.     

Enhanced network effects and stochastic modelling in generation expansion planning: Insights from an insular power system

Electricity generation capacity expansion is driven by both economic and socio-political realities. Policy makers determine public infrastructural decisions, such as climate and renewable targets, and transmission infrastructure, and the optimal generation capacity expansion follows. Policy makers therefore require planning models that can determine the optimal generation capacity mix in the long run under various scenarios, including policy choices. This work presents a planning model based on linearised alternating current optimal power flow which determines optimal generation capacity expansion and operation, in a least-cost manner, given global and local technical constraints, as well as policy decisions. We apply the model to a test case of the island of Ireland, which has two weakly interconnected systems, high renewable generation targets and low storage and interconnection. We determine the optimal generation expansion and operation out to 2030 considering the effects of increased multi-area interconnection, existing fossil fuel generation phase-out and increased renewable generation targets and carbon prices. Our results find that costs and emissions are driven primarily by the decommissioning of old inefficient generation units. High renewable targets, on the other hand, render increased carbon prices relatively ineffective in reducing system emissions. Furthermore, high renewable generation targets crowd out low-carbon power generation options such as carbon capture and storage (CCS). The strategic north-south interconnection has little effect on renewable energy source installations required to achieve renewable power generation targets but does impact on security of supply and the congestion level across the island.     

Stability of international environmental agreements under isoelastic utility

There is now a growing consensus that ratifying International Environmental Agreements (IEAs) is the most effective way to tackle transboundary pollution problems. While the social benefit function (SBF) critically affects emission choices as well as decisions to ratify IEAs, the related economic literature has mainly concentrated on scenarios where the marginal SBF is linear. Using climatic data, I find that the linear marginal SBF case does not match data and isoelastic SBFs fit data better. In the more realistic, but not yet explored, context of isoelastic SBFs, I reconsider incentives to ratify IEAs. My analysis gives rise to novel conclusions. For instance, changes in the scale of damages do not affect the level of cooperation. When the scale of damages is small, variations of the SBF parameter reveal that large coalitions including the coalition of all countries are stable, but only when the potential gain from cooperation is sufficiently high.     

Personalized goal-based investing via multi-stage stochastic goal programming

In this paper, we propose a goal-based investment model that is suitable for personalized wealth management. The model only requires a few intuitive inputs such as size of wealth, investment amount, and consumption goals from individual investors. In particular, a priority level can be assigned to each consumption goal and the model provides a holistic solution based on a sequential approach starting with the highest priority. This allows strict prioritization by maximizing the probability of achieving higher priority goals that are not affected by goals with lower priorities. Furthermore, the proposed model is formulated as a linear program that efficiently finds the optimal financial plan. With its simplicity, flexibility, and computational efficiency, the proposed goal-based investment model provides a new framework for automated investment management services.     

Exogenous shocks and managerial preparedness: A study of U.S. airlines’ environmental scanning before the onset of the COVID-19 pandemic

Managerial preparedness is a constant concern for firm stakeholders. This concern is exacerbated during times of immense stress brought about by exogenous shocks. In this paper, we analyze the preparedness of U.S. commercial airline management teams to the largest systematic exogenous shock to date, namely the COVID-19 pandemic in 2019 and 2020. We do this by underpinning the paper with theory on environmental scanning and managerial dysfunction and then documenting the signals and actions of management around multiple public health scares. These include the SARS outbreak, the Swine Flu outbreak and the COVID-19 outbreak. Our results, based off of corporate filings with the SEC, is that airline management had multiple “dry runs” before the COVID-19 outbreak that should have lead them to prepare for financially catastrophic scenarios such as the one observed in 2020. Instead, management teams failed to learn from these, and other, prior shocks. Instead, they focused on other, less serious threats while diffusing their financial buffers through dividends and share buybacks.     

The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources

Big data analytics have transformed research in many fields, including the business areas of marketing, accounting and finance, and supply chain management. Yet, the discussion surrounding big data analytics in human resource management has primarily focused on job candidate screenings. In this article, we consider how significant strategic human capital questions can be addressed with big data analytics, enabling HR to enhance overall firm performance. We also examine how new data sources that help assess workforce performance in real time can assist in the identification and development of the knowledge stars that contribute to firm performance disproportionately as well as help reinforce firm capabilities. But in order for big data analytics to be successful in the HR field, regulatory and ethical challenges must also be addressed; these include privacy concerns and, in Europe, the General Data Protection Regulation (GDPR). We conclude by discussing how big data analytics can facilitate strategic change within HR and the organization as a whole.