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Evidence suggests that retail investors who invest in individual stocks are, in the long run, largely outperformed by market indexes such as the MSCI World. While some turn to exchange traded funds (ETFs) to invest in such market indexes, few migrate completely to ETFs. This study aims to shed light on the rationale behind retail investors' partial and complete migration from stocks to ETFs.

Drawing from the pull-push-mooring framework, a qualitative study (N = 21) informs a quantitative study (N = 282) by following established mixed methods guidelines. This study develops propositions for partial and complete migration intention to ETFs.

Results reveal that perceived investment possibilities, perceived risk reduction, perceived administrative effort, perceived expensiveness and monetary loss costs influence the migration from stocks to ETFs. This study shows that three configurations of perceptions result in partial migration intention and one configuration results in complete migration intention.

This study explains why some migrate partially from stocks to ETFs and others migrate completely. Findings show that both migration behaviors are subject to the same perceptions, but the configurations that form the behaviors are different. While only some identified perceptions must be present for a partial migration, all of them must be present for a complete migration, as it requires retail investors to sell their stocks and accept the costs incurred to invest in ETFs instead.

Jarring events, be they global crises such as COVID-19 or technological events such as the Cambridge Analytica data incident, have bullwhip effects on billions of people's daily lives. Such “shocks” vary in their characteristics. While some shocks cause, for example, widespread adoption of information systems (IS) as diverse as Netflix and Teams, others lead users to stop using IS, such as Facebook. To offer insights into the multifaceted ways shocks influence user behavior, this study aims to assess the status quo of shock-related literature in the IS discipline and develop a taxonomy that paves the path for future IS research on shocks.

This study conducted a literature review (N = 70) to assess the status quo of shock-related research in the IS discipline. Through a qualitative study based on users who experienced shocks (N = 39), it confirmed the findings of previous literature in an illustrative IS research context. Integrating the findings of the literature review and qualitative study, this study informs a taxonomy of shocks impacting IS use.

This study identifies different ways that shocks influence user behavior. The taxonomy reveals that IS research could profit from considering environmental, private and work shocks and shedding light on positive shocks. IS research could also benefit from examining the urgency of shocks, as there are indications that this influences how and when individuals react to a specific shock.

Findings complement previous rational explanations for user behavior by showing technology use can be influenced by shocks. This study offers a foundation for forward-looking research that connects jarring events to patterns of technology use.

In order to improve decision support through knowledge management it is becoming increasingly important to combine internal and external as well as quantitative and qualitative management information. The Internet is already one of the most important media for accessing external data and it might continue to grow in significance. The article describes the concept and prototype of an “Editorial Workbench” that helps to manage knowledge spread in internal and external sources in order to distribute the right information to the responsible decision maker in time. SAP decided to use parts of the prototype for the development of their new product SAP Strategic Enterprise Management (SAP SEM)TM.

This paper aims to investigate the processability by selective laser melting (SLM) of materials of potential interest for innovative biodegradable implants, pure Fe and pure Zn. The processability of these materials is evaluated with a more established counterpart in permanent implants, stainless steel. In particular, the processing conditions were studied to reduce porosity due to incomplete fusion of the powder.

In the first phase of the experiments, SLM of AISI 316L was studied through design of experiments method. The study was used to identify the significant parameters in the experimental range and estimate the fluence ranges for pure Fe and pure Zn using the lumped heat capacity model. In the second phase, SLM of pure Fe and pure Zn were studied using estimated fluence ranges. In the final phase, best conditions were characterized for mechanical properties.

The results showed that complete melting of AISI 316L and pure Fe could be readily achieved, whereas laser melting generated a foam-like porous structure in Zn samples. The mechanical properties of laser melt implant materials were compared to as-cast and rolled counterparts. Laser melted AISI 316L showed superior mechanical performance compared to as-cast and rolled material, whereas Fe showed mechanical performance similar to rolled mild steel. Despite 12 per cent apparent porosity, laser melted Zn exhibited superior mechanical properties compared to as-cast and wrought material because of reduced grain size.

The paper provides key processing knowledge on the SLM processability of new biodegradable metals, namely, pure Fe, which has been studied sparingly, and pure Zn, on which no previous work is available. The results prefigure the production of new biodegradable metallic implants with superior mechanical properties compared to their polymeric counterparts and with improved degradation rates compared to magnesium alloys, the reference material for biodegradable metals.

This paper aims to present a dual-perspective framework for maintenance service delivery that should be used by manufacturing companies to structure and manage their maintenance service delivery process, using aggregated historical and real-time data to improve operational decision-making. The framework, built for continuous improvement, allows the exploitation of maintenance data to improve the knowledge of service processes and machines.

The Dual-perspective, data-based decision-making process for maintenance delivery (D3M) framework development and test followed a qualitative approach based on literature reviews and semi-structured interviews. The pool of companies interviewed was expanded from the development to the test stage to increase its applicability and present additional perspectives.

The interviews confirmed that manufacturing companies are interested in exploiting the data generated in the use phase to improve operational decision-making in maintenance service delivery. Feedback to improve the framework methods and tools was collected, as well as suggestions for the introduction of new ones according to the companies' necessities.

The paper presents a novel framework addressing the data-based decision-making process for maintenance service delivery. The D3M framework can be used by manufacturing companies to structure their maintenance service delivery process and improve their knowledge of machines and service processes.

The purpose of this study is to explore the required changes, outline business potential and envisage the key steps that a networked manufacturing industry needs to take to reach more sustainably performing manufacturing in the future.

The paper utilises a visionary road-mapping approach to study the required changes and the business potential related to sustainable development in the manufacturing industry.

The results were summarised in three sub-roadmaps empowerment of stakeholders, increase efficiency and creation of new performance criteria. On the basis of the summary of the sub-roadmaps, the framework was configured to describe the opportunities and challenges of sustainable business development in the European manufacturing industry.

A clear implication of this study is that a more system-oriented approach, new models for collaboration between network actors and transparently shared network-level KPIs are required before further steps towards a sustainable manufacturing industry can be taken. In addition, sustainability-driven business models are required to specify these changes concretely.

The presented sub-roadmaps and framework summarising them could provide new insights to business practitioners exploring business potential of sustainability.

Understanding about the road-mapping process as tool that enables interaction and envisioning between different stakeholders could also have social implications supporting shared industry-level learning processes.

Studies of sustainability within the manufacturing industry have focused mainly on green issues in supply-chain management or corporation-level governance models and reporting practices. The paper presents a broader view of sustainable development and recognises networked business as part of the solution.

The purpose of this research is to highlight the impact of integrative leadership behaviors on network performance in local government networks.

The data were retrieved from a survey conducted on 362 local government network leaders in Italy. Their leadership behaviors were compared with the level of network performance anonymously self-reported.

The findings show that high frequency in the usage of a specific category of behavior does not always lead to high performance in local government networks. Moreover, leadership behaviors leading to highly performing networks are not always engaged most frequently by networks' leaders.

This research gives an empirical contribution to a neglected topic: network leadership. Moreover, the authors attempt to highlight how it is able to influence network performance.

This study aims to examine variables influencing resort hotels’ survival in Spain, which had not previously been analysed. In this country, determining whether the reasons resort hotels close are different from other hotels could be imperative to resort hotels’ survival.

The survival analysis used Cox’s semi-parametric proportional hazards regression to determine which variables influence hotel closure and how much each variable increases risk of closure.

Resort hotel closure depends on hotel size, location, executive management and the business cycle. Survival is not affected by hotel type or financial structure.

While this methodology is common in business survival analyses, it has seldom been applied to hotels and has never been used to study the survival of resort hotels.

Companies need to rethink the location of new hotels. For already-built facilities, good management practices are strategically important for resort hotels’ survival.

This paper explores the reasons why resort hotels survive. The study’s selection of variables and methodology and its conclusions are unique.

The core idea behind lean is maximizing customer value and companies’ competitiveness through the streamlining and optimization of its main processes. Lean means creating more value with fewer resources. Thanks to its positive impact on companies’ overall performance, the lean concept is widely adopted across various industries and many organizations. Before being an operational tool, it is a management culture to be disseminated at all levels and applied with patience and conviction. Lean is about continuously improving work processes, purposes, and people. Instead of trying to hold total control of work processes and keep the spotlight, lean management encourages shared responsibility and shared leadership. Lean management was not created in a moment and still is evolving gradually, thanks to the desire of people for continuous improvement.