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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.

The purpose of this paper is to examine the asymmetric impact of service failure severity and agreeableness on consumer switchover intention with the mediating role of consumer forgiveness in the aftermath of service failure.

In total, 364 university students were given a hypothetical service failure situation and their response was collected through a standardized questionnaire. Multiple regression and Preacher and Hayes (2004) mediation analysis tests were conducted to analyze data.

The findings reveal that service failure severity has a direct positive impact on switchover intention and it also has an indirect impact on switchover intention through consumer forgiveness which it tends to weaken. On the other side, agreeableness has a direct negative impact on switchover intention, and it inhibits switchover intention indirectly too by stimulating forgiveness.

A cross-sectional study involving convenience sampling has been conducted through self-report measures. Generalization of the research findings shall therefore be done with caution.

Severity of failure hampers forgiveness and therefore service managers should check factors that may challenge the tolerance level of consumers. While gauging satisfaction in post failure scenario, it is equally important to gauge consumer forgiveness.

This study is among the initial endeavors to explore forgiveness in service failures context. Also it is the first validation of a direct positive relationship between agreeableness and forgiveness in a South Asian country.

The purpose of this study is to examine the process underlying how consumers shift roles from users to suppliers of goods or services in the collaborative economy (CE). It examines quantatively the impact of a series of explanatory variables underlying that switchover process.

This study identifies and tests the key factors that motivate the user-provider transition by introducing the spillover effect from the proenvironmental literature into collaborative practices and using four experimental designs. Considering behavioral characteristics, context, intrinsic variables and socialization, this study provides an in-depth understanding of the process of transition from user to supplier in the CE.

The results suggest the interactive nature of the spillover as peer influence boosts changes in individual motivations, preferences and behaviors. Furthermore, promoting solidarity between members of the CE platform facilitates the transition of participants from users to providers. In addition, the users’ perception of socialization, satisfaction and sense of indebtedness may also play a significant role in the transition.

The study highlights the process underlying the switchover from user to provider at the prosumer level. More specifically, this study identifies key variables influencing the intention to switchover in the CE by drawing on the spillover effect from pro-environmental behavior and considering the spillover as an interactive process.

Managers who wish to develop collaborative systems must attract a critical mass of providers to ensure the viability of their systems. Instead of recruiting new providers, managers may convert existing users into providers. This study identifies the key variables to modulate to this end.

The findings offer important managerial implications and shed new light on the CE literature.

The purpose of this paper is to review current policy and practice in management of analogue‐digital switch in broadcasting.

The paper adopts a case study approach.

The paper finds that with regard the objectives of switch‐off, the broad policy aims of clearing spectrum, modernising infrastructure, and improving the services to the consumer are shared across the major countries studied. Uncertainty about the cash value and potential alternative uses of spectrum is natural given rapid technological change, but the common potential broadcasting uses include mobile television, high definition digital terrestrial television, and more digital broadcasters and channels, including regional and local developments.

The study is restricted to Europe, Japan and North America.

The study has implications for assessment of European switchover strategies and role of Digital Terrestrial.

There are some overviews, but none of so up to date, nor with this geographical coverage.

The last decade has seen increasing advocacy for, and interest in the use of white space in the broadcasting bands by providers of wireless broadband services. This paper aims to discuss the scope in Australia for “symbiotic” and “invasive” white space devices to operate in the UHF band after digital switchover and speculate about longer term trends.

The authors draw from their analysis of recent regulatory decisions to explain how the parameters established for channel planning naturally conduce to the development of large white spaces. They then identify emerging opportunities for white space usage in the reduced UHF band allocated to digital television services as well as in nearby guard bands.

The article's analysis suggests that there is considerable scope for white space devices to operate in Australia – even in the context of a reduced UHF band following analog switch off. Furthermore, the authors argue that the development of complementary business models could see off any perceived conflict between intensive white space usage and the long‐term benefit of both broadcasters and telecommunications operators.

It is timely for proponents of white space usage to establish regulatory arrangements that will allow intensive use of those white spaces. Current FCC proposals to base the regulatory framework on spectrum co‐sharing between broadcasters and white space broadband providers may lead to similar, yet distinct, opportunities in the USA as well.

There is a surprising paucity of published information worldwide regarding white space regulation. This article provides an in‐depth discussion of the main parameters driving white space opportunity.

The internet of things and just-in-time are the embryonic model of innovation for the state-of-the-art design of the service system. This paper aims to develop a fault-tolerant machining system with active and standby redundancy. The availability of the fault-tolerant redundant repairable system is a key concern in the successful deployment of the service system.

In this paper, the authors cogitate a fault-tolerant redundant repairable system of finite working units along with warm standby unit provisioning. Working unit and standby unit are susceptible to random failures, which interrupt the quality-of-service. The system is also prone to common cause failure, which tends its catastrophe. The instantaneous repair of failed unit guarantees the increase in the availability of the unit/system. The time-to-repair by the single service facility for the failed unit follows the arbitrary distribution. For increasing the practicability of the studied model, the authors have also incorporated real-time machining practices such as imperfect coverage of the failure of units, switching failure of standby unit, common cause failure, reboot delay, switch over delay, etc.

For deriving the explicit expression for steady-state probabilities of the system, the authors use a supplementary variable technique for which the only required input is the Laplace–Stieltjes transform (LST) of the repair time distribution.

For complex and multi-parameters distribution of repair time, derivation of performance measures is not possible. The authors prefer numerical simulation because of its importance in the application for real-time uses.

The stepwise recursive procedure, illustrative examples, and numerical results have been presented for the diverse category of repair time distribution: exponential (M), n-stage Erlang (Ern), deterministic (D), uniform (U(a,b)), n-stage generalized Erlang (GE_[n]) and hyperexponential (HE_[n]).

Concluding remarks and future scopes have also been included. The studied fault-tolerant redundant repairable system is suitable for reliability analysis of a computer system, communication system, manufacturing system, software reliability, service system, etc.

As per the survey in literature, no previous published paper is presented with so wide range of repair time distribution in the machine repair problem. This paper is valuable for system design for reliability analysis of the fault-tolerant redundant repairable.

This paper aims at understanding the differences between user profiles in collaborative consumption (CC) platforms in order to improve their management approaches and set up customized strategies. Particularly, the authors investigate the emerging role of prosumers and their influence on the active participation and growth of CC platforms. Moreover, the authors study user experience to help promoting users' recommendation and offering intention.

The sample includes responses from 6,388 users of CC platforms across the EU. The data were collected through the European Commission's Flash Eurobarometer survey 467 and analyzed through a partial least squares structural equation modeling (PLS-SEM) and a fuzzy set qualitative comparative analysis (fsQCA).

The PLS-SEM findings suggest that prosumers are more likely than consumers to recommend and offer services through CC platforms. Furthermore, previous experience using platforms positively affects the switch from consumers to prosumers. The fsQCA suggests that only economic advantages affect the switchover decision.

This study deepens the hitherto unexplored prosumer role in CC platforms and its antecedents and drivers.

The main limitations concern the generalizability outside of the EU, the unbalanced coverage of sectors and the number of moderator variables.

Prosumers act as golden actors because they contribute to enlarge both the customer base (through recommendations) and the provider base (through offering intention). Hence, managers should focus on prosumers' experiences to increase the critical mass and positive externalities of CC platforms.

This study helps understand the importance of the role of prosumers in the growth of CC platforms. The study provides more robust results through a cross-country and mixed-method research.

A comparative evaluation of push, pull and a combination of push‐pull production strategies for a multi‐product two‐stage production system is presented. A mathematical model is developed to determine EBQ and optimal batch splitting and is applied to a case of a manufacturing company producing hard disk parts. The results obtained are compared with the existing practice. It is shown that a push policy results in the highest total system cost while the pull system – the least, with the hybrid policy in‐between. It is recommended that a switchover to optimal hybrid push‐pull policy is called for from the present non‐optimal push policy. Cost reduction potential for such a switchover is estimated.

The purpose of this paper is to provide a systematic analysis about the effects of additive manufacturing (AM) technology adoption on supply chain management (SCM) processes and SCM components in an engineer-to-order environment.

Based on two explorative case studies from the hearing systems industry, the impact of AM technology adoption on SCM processes and SCM components is investigated. General systems theory and the contingency approach serve as theoretical underpinning.

Not only the internal processes and management activities, e.g. in manufacturing and order fulfillment, of producers are affected by a changeover to AM, but also the SCM processes and components relating to the supply and demand side of a firm’s supply chain. Endogenous and AM technology-related factors are contingency factors that help to explain differing effects of AM technology adoption on SCM processes and SCM components.

It is proposed that AM’s ability to economically build custom products provides the potential to alleviate the common dilemma between product variety and scale economies.

Manufacturing firms are encouraged to consider the potential effects of AM on SCM processes and SCM components when deciding whether to adopt AM technologies in the production of industrial parts.

The research adds to the widely unexplored effects that AM technology usage in customized parts production has on SCM processes and components. Moreover, the general lack of case studies analyzing the implications of AM technology adoption from a supply chain perspective is addressed. The resulting propositions may serve as a starting point for further research on the impact of AM in engineer-to-order supply chains.