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Despite the quick spread of the use of mobile devices in survey participation, there is still little knowledge about the potentialities and challenges that arise from this increase. The purpose of this paper is to study how respondents’ preferences drive their choice of a certain device when participating in surveys. Furthermore, this paper evaluates the tolerance of participants when specifically asked to use mobile devices and carry out other specific tasks, such as taking photographs.

Data were collected by surveys in Spain, Portugal and Latin America by Netquest, an online fieldwork company.

Netquest panellists still mainly preferred to participate in surveys using personal computers. Nevertheless, the use of tablets and smartphones in surveys showed an increasing trend; more panellists would prefer mobile devices, if the questionnaires were adapted to them. Most respondents were not opposed to the idea of participating in tasks such as taking photographs or sharing GPS information.

The research concerns an opt-in online panel that covers a specific area. For probability-based panels and other areas the findings may be different.

The findings show that online access panels need to adapt their surveys to mobile devices to satisfy the increasing demand from respondents. This will also allow new, and potentially very interesting data collection methods.

This study contributes to survey methodology with updated findings focusing on a currently underexplored area. Furthermore, it provides commercial online panels with useful information to determine their future strategies.

The purpose of this paper is to approximate the impact that additive manufacturing (AM) will have on firm inventory performance (IP) and customer satisfaction (CS) when it is applied within the spare parts (SP) supply chain of manufacturing organisations. This research also explores the influence of customer sensitivity (CSy) to price and delivery lead time and supply risk (SR) within those approximations.

An online survey was used to collect the primary data for this research. Data were collected from 69 respondents working for organisations in two industrial segments within the UK manufacturing sector: “Industrial and Commercial Machinery and Computer Equipment” and “Measuring, Analysing and Controlling Instruments, Photographic, Medical and Optical Instruments”. The respondents worked for entities that were categorised in three groups: customers, suppliers, and entities that were both customers and suppliers. The groups that were self-identified as “customers” or “suppliers” answered 20 survey items each and the group that was identified as both “customers” and “suppliers” answered 40 survey items.

The results revealed that AM was considered a suitable vehicle for the fulfilment of SP demand. However, AM appeared to make no material difference to CS; the scenario used improved delivery time of SP but increased price. Also, AM was thought to improve IP through less reliance on buffer stock to manage SR and spikes in demand and less carrying of SP at risk of obsolescence.

The respondents worked for entities within two manufacturing industry segments within the UK and the insights garnered may not be indicative of similar organisations competing in other manufacturing industry segments within the UK or in other countries. In addition, approximately 82 per cent of the surveyed respondents worked for small organisations with fewer than 100 employees and the results may differ for larger organisations. Further limitations were the relatively small sample size and lack of open-ended questions used in the survey. Larger sample size and the usage of open-ended survey questions may lead to more reliable and valuable responses and feedback.

The findings from this research are considered to be of interest to practitioners contemplating adoption of AM and to developers of AM wishing to increase market share due to the positive reaction of entities within the industrial and commercial machinery and computer equipment, and measuring, analysing and controlling instrumentation industrial segments. This research raises awareness to the possible risks and rewards – from a range of perspectives, of AM to practitioners considering its adoption in the spare parts supply chain (SPSC).

The paper takes a novel perspective on AM in SPSCs by illuminating the supplier and buyer perspective based on empirical data. This research provides new insights about the appreciation of the use of AM in SPSCs of mostly small sized manufacturing companies located in the UK. This paper also gives new insights about the willingness/conditions of manufacturing companies in the UK to adopt AM for the provision of SP. The originality of this research is twofold: it broached the applicability of AM in the supply chains of the two targeted industrial segments, and as far as the authors are aware, the influence of CSy (e.g. to price or lead time) and SR on SPSC players’ attitude to AM is yet to be considered. Finally, this research adopted a systems theory lens and considered system-wide impact of AM introduction.

The purpose of this paper is to investigate selling actors in multi-actor sales ecosystems. When selling actors start taking over tasks that were formerly performed by salespeople, the distribution of tasks, allocation of responsibilities and finally the role of the salespeople changes. However, little is known about salespersons’ perceptions of selling actors’ identities and participation behavior in multi-actor sales ecosystems.

The authors conducted a World Café, a new qualitative method to the field of sales research, to obtain first data on selling actor identities in multi-actor sales ecosystems. Salespeople, who had the chance to observe and interact with more than 98,000 selling actors, disclosed their perceptions of selling actors’ participation behavior in a multi-actor sales ecosystem. Four different data sources were analyzed using qualitative content analysis to develop a comprehensive understanding of the topic and to test validity through the convergence of information from different sources.

Using identity theory, a salesperson–selling actor relationship/behavior typology for multi-actor sales ecosystems was developed. Eight different selling actor identities were identified: avoider, observer, receptive actor, prepper, expecter, savvy actor, challenger and coworker.

The typology provides researchers and managers with a tool to better understand and evaluate sales ecosystems. This knowledge can be used as a starting point for the reassessment of the knowledge, skills and abilities necessary for salespeople in multi-actor sales ecosystems and to improve their training and coaching. The firsthand experiences reported by the participants of the World Café enable salespeople to identify different selling actors faster and prepare fitting approaches for all selling actor identities.