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Introducing additive manufacturing (AM) in a multinational corporation with a global spare parts operation requires tools for a dynamic supplier selection, considering both cost and delivery performance. In the switchover to AM from conventional manufacturing, the objective of this study is to find situations and ways to improve the spare parts service to end customers.

In this explorative study, the authors develop a procedure – in collaboration with the spare parts operations managers of a case company – for dynamic operational decision-making for the selection of spare parts supply from multiple suppliers. The authors' design proposition is based on a field experiment for the procurement and delivery of 36 problematic spare parts.

The practice intervention verified the intended outcomes of increased cost and delivery performance, yielding improved customer service through a switchover to AM according to situational context. The successful operational integration of dynamic additive and static conventional supply was triggered by the generative mechanisms of highly interactive model-based supplier relationships and insignificant transaction costs.

The dynamic decision-making proposal extends the product-specific make-to-order practice to the general-purpose build-to-model that selects the mode of supply and supplier for individual spare parts at an operational level through model-based interactions with AM suppliers. The successful outcome of the experiment prompted the case company to begin the introduction of AM into the company's spare parts supply chain.

Firms seek to improve their decision-making and enable more “fact-based” decisions by using business analytics. While the benefits of using business analytics to monitor, develop and improve daily operations have been reported by many scholars, using it in more complex top management decisions has received less attention. Building on the resource-based view of the firm, this study aims to investigate top management perceptions of using business analytics for making decisions on firm resources.

This study uses semi-structured interviews to collect perceptions of 12 top managers in large firms on when and why they use business analytics in their decision-making.

Top managers use business analytics output as their main source of information for monitoring ongoing business performance against set targets and taking corrective actions. Concerning future-oriented planning and strategic decision-making involving more complex changes on the firms’ resource base, top managers proactively complement knowledge derived via business analytics with other sources of knowledge, such as stakeholder and expert opinions. Moreover, top managers use of business analytics depends on their own expectations of its value potential and on the expectations of their organization.

This study adds to the extant literature on the business value of business analytics by outlining the purposes and reasons for top management business analytics use. By demonstrating when and why top managers apply business analytics when making decisions on the firm’s current and future resource base, this study contributes to the discussion on the resource-based view and decision-making practices of the firm.

This study aims to investigate practitioners’ perceptions of strategic work in municipal facilities management: how public facilities management is changing, what is included in strategic public facilities management and who leads the strategic work.

A literature review begins with mainstream studies of strategy management, ultimately concentrating on municipal facilities management. Findings are based on a 2020/2021 questionnaire targeting 356 practitioners in municipal facilities management across Sweden (50% response rate). The statistical treatment includes factor analysis.

Most respondents indicated changed ways of managing facilities in the past five years; most reported that they were in an organization with an explicit goal of working more strategically. Respondents associated strategic facilities management with governance, facilities, sustainability, technology change and communication. Frequently, it was the management team of the facilities management department that led strategic work.

Research into municipal facilities management is dominated by studies in Northern Europe, and more studies from other regions are needed. How strategies and work roles evolve in parallel appears to be a fruitful direction of further research.

Facilities managers need stronger competences and more resources to engage in strategic facilities management. Findings indicate a need to integrate sustainability aspects better into long-term strategic work.

More strategic municipal facilities management is of obvious social value.

This is the first study of practitioner perceptions of work on strategic facilities management in municipalities.

Knowledge sharing has entered the stage of knowledge payment with the typical models of paid Q&A, live session, paid subscription, course column and community service. Numerous knowledge suppliers have begun to pour into the knowledge payment market, and users' willingness to pay for premium content has increased. However, the academic research on knowledge payment has just begun.

In this paper, the authors searched several bibliographic databases using keywords such as “knowledge payment”, “paid Q&A”, “pay for answer”, “social Q&A”, “paywall” and “online health consultation” and selected papers from aspects of research scenes, research topics, etc. Finally, a total of 116 articles were identified for combing studies.

This study found that in the early research, scholars paid attention to the definition of knowledge payment concept and the discrimination of typical models. With the continuous enrichment of research literature, the research direction has gradually been refined into three main branches from the perspective of research objects, i.e. knowledge provider, knowledge demander and knowledge payment platform.

This paper focuses on discussing and sorting out the key research issues from these three research genres. Finally, the authors found out conflicting and contradictory research results and research gaps in the existing research and then put forward the urgent research topics.

This paper aims to examine the existence of the ripple effect from Amsterdam to the housing markets of other regions in The Netherlands. It identifies which regional housing markets are influenced by house price movements in Amsterdam.

The paper considers the ripple effect as a lead-lag effect and a long-run convergence between the Amsterdam and regional house prices. Using the real house prices for second-hand owner-occupied dwellings from 1995q1 to 2016q2, the paper adopts the Toda–Yamamoto Granger Causality approach to study the lead-lag effects. It uses the autoregressive distributed lags (ARDL)-Bounds cointegration techniques to examine the long-run convergence between the regional and the Amsterdam house prices. The paper controls for house price fundamentals to eliminate possible confounding effects of common shocks.

The cumulative evidence suggests that Amsterdam house prices have influence on (or ripple to) all the Dutch regions, except one. In particular, the Granger Causality test concludes that a lead-lag effect of house prices exists from Amsterdam to all the regions, apart from Zeeland. The cointegration test shows evidence of a long-convergence between Amsterdam house prices and six regions: Friesland, Groningen, Limburg, Overijssel, Utrecht and Zuid-Holland.

The paper adopts an econometric approach to examine the Amsterdam ripple effect. More sophisticated economic models that consider the asymmetric properties of house prices and the patterns of interregional socio-economic activities into the modelling approach are recommended for further investigation.

This paper focuses on The Netherlands for which the ripple effect has not yet been researched to the authors’ knowledge. Given the substantial wealth effects associated with house price changes that may shape economic activity through consumption, evidence for ripples may be helpful to policy makers for uncovering trends that have implications for the entire economy. Moreover, the analysis controls for common house price fundamentals which most previous papers ignored.

The purpose of this multi-voiced paper is to propose a prosocial paradigm for the field of performance management and management control systems. This new paradigm suggests cultivating prosocial behaviour and prosocial groups in organizations to simultaneously achieve the objectives of economic performance and sustainability.

The authors share a common concern about the future of humanity and nature. They challenge the influential assumption of economic man from neoclassical economic theory and build on evolutionary science and the core design principles of prosocial groups to develop a prosocial paradigm.

Findings are based on the premise of the prosocial paradigm that self-interested behaviour may outperform prosocial behaviour within a group but that prosocial groups outperform groups dominated by self-interest. The authors explore various dimensions of performance management from the prosocial perspective in the private and public sectors.

The authors call for theoretical, conceptual and empirical research that explores the prosocial paradigm. They invite any approach, including positivist, interpretive and critical research, as well as those using qualitative, quantitative and interventionist methods.

This paper offers implications from the prosocial paradigm for practitioners, particularly for executives and managers, policymakers and educators.

Adoption of the prosocial paradigm in research and practice shapes what the authors call the prosocial market economy. This is an aspired cultural evolution that functions with market competition yet systematically strengthens prosociality as a cultural norm in organizations, markets and society at large.

The goal of the study is to offer important insights into the dynamics of the cryptocurrency market by analyzing pricing data for Bitcoin. Using quantitative analytic methods, the study makes use of a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and an Autoregressive Integrated Moving Average (ARIMA). The study looks at how predictable Bitcoin price swings and market volatility will be between 2021 and 2023.

The data used in this study are the daily closing prices of Bitcoin from Jan 17th, 2021 to Dec 17th, 2023, which corresponds to a total of 1065 observations. The estimation process is run using 3 years of data (2021–2023), while the remaining (Jan 1st 2024 to Jan 17th 2024) is used for forecasting. The ARIMA-GARCH method is a robust framework for forecasting time series data with non-seasonal components. The model was selected based on the Akaike Information Criteria corrected (AICc) minimum values and maximum log-likelihood. Model adequacy was checked using plots of residuals and the Ljung–Box test.

Using the Box–Jenkins method, various AR and MA lags were tested to determine the most optimal lags. ARIMA (12,1,12) is the most appropriate model obtained from the various models using AIC. As financial time series, such as Bitcoin returns, can be volatile, an attempt is made to model this volatility using GARCH (1,1).

The study used partially processed secondary data to fit for time series analysis using the ARIMA (12,1,12)-GARCH(1,1) model and hence reliable and conclusive results.

Teachers of primary education experience high levels of stress but lack rational coping strategies to reduce their work stress. The paper develops a value stream mapping for education approach and examines its use as a rational coping strategy for teams of teachers and other employees to overcome work-related stressors.

The research process consists of two phases. First, a value stream mapping approach for education is developed, based on literature research. Next, the approach is validated in an action research study to reduce work stress of teachers in educational services. The processes that have been selected by the teachers relate to coping with increased variety, long and uncertain throughput times and unclear specifications.

Value stream mapping for education (VSM4EDU) is a well-structured improvement method based on principles of visualization, participation and process thinking, which helps teachers without background in lean thinking to analyse their processes. Using this method has enabled the team to develop rational coping strategies to reduce their work-related stress.

VSM4EDU has been validated using action research at a single school, which implicates deep insight, but further testing at other schools is welcome. Moreover, VSM4EDU has not been used to develop a future state map.

Value stream mapping is useful in educational settings as long as the educational context is respected in the approach.

VSM4EDU empowers teachers and helps to develop co-operation in teams.

The validation of value stream mapping for education is well-documented and original.

To succeed in today’s dynamic and unpredictable business world, businesses are increasingly required to gain the trust of and inform the society in which they operate about the social and environmental consequences of their actions. Corporations’ claims regarding the responsibility and ethicality of their actions, however, have been shown to be contradictory to some degree. We define corporations’ deceitful implementation of their corporate social responsibility (CSR) policies as pseudo-CSR. We argue that it is the moral characteristics of individuals, i.e. employees, managers and other decision-makers who ignore the CSR policies, which produce pseudo-CSR.

This is a conceptual paper.

The authors conceptualize the gap between true CSR and pseudo-CSR on a cognitive individual level as “moral laxity,” resulting from organization-induced lack of effort concerning individual moral development through ethical discourse, ethical sensemaking and subjectification processes. The absence of these processes prohibits individuals in organizations from constructing ethical identities to inhibit pseudo-CSR activities.

This paper contributes to the literature on CSR by augmenting corporate-level responsibility with the hitherto mostly neglected, yet significant, role of the individual in bridging this gap.

This article examines the strategy formation in the Finnish government’s pandemic management during the COVID-19 pandemic, addressing a research gap by exploring the possibilities for strategy formation in guiding government policy formation.

Utilizing perspective of strategic planning and emergent strategies influenced by the authorizing environment, the article emphasizes the importance of strategy development in government. The management of COVID-19 pandemic serves as a case study for investigating public strategies in policy formation, underscoring the significance of the authorizing environment in integrating predefined strategic plans with emergent strategic avenues.

The management of pandemics has led to changes in legislation and modes of government decision-making, resulting in learnings for coordinating subnational governments and allocation of resources. The government actions evolved from extracting components from predefined strategic plans and drawing on the experiences of other countries. The emergent properties emerged from amalgamating these elements into an umbrella strategy with a variety of new responses.

The examination focuses on the view from the nexus of government. Although, informed by the subnational developments and stakeholder responses, the study adopts a bird’s eye view on the COVID-19 management.

The examination raises needs for legislative changes, improvement of cross-sectoral coordination within central government and improvement for the decision-making capability within subnational government.

By focusing on the Finnish government’s measures in pandemic management, this article contributes to the discourse on pandemic management. The findings provide insights for strategic crisis management in the public sector.