Co-production and co-creation using self-service technology: the application of service-dominant logic

Research on how customers engage in the co-creation processes envisaged by the Servicedominant logic paradigm is currently limited and even less work has been published on frameworks for organizations to manage the co-creation process. This conceptual paper examines a particular aspect of co-creation: co-production as a result of the application of self-service technology (SST). We propose a conceptual framework for co-production, which emphasizes the need to understand productivity from the point of view of the customer, and demonstrate how this can be applied in both consumer (b2c) and interorganizational(b2b) contexts. We conclude that service organizations might benefit from clearly identifying co-production with task-performance, and co-creation with the valueattributing aspects of the customer service experience. Both aspects generate a range of design and management challenges for suppliers particularly the need to understand the cocreation process 'outputs' desired by customers and the full costs of moving away from person to person interaction.

GIS in the cloud: implementing a web map service on Google App Engine

Many producers of geographic information are now disseminating their data using open web service protocols, notably those published by the Open Geospatial Consortium. There are many challenges inherent in running robust and reliable services at reasonable cost. Cloud computing provides a new kind of scalable infrastructure that could address many of these challenges. In this study we implement a Web Map Service for raster imagery within the Google App Engine environment. We discuss the challenges of developing GIS applications within this framework and the performance characteristics of the implementation. Results show that the application scales well to multiple simultaneous users and performance will be adequate for many applications, although concerns remain over issues such as latency spikes. We discuss the feasibility of implementing services within the free usage quotas of Google App Engine and the possibility of extending the approaches in this paper to other GIS applications.

A Web Map Service implementation for the visualization of multidimensional gridded environmental data

We describe ncWMS, an implementation of the Open Geospatial Consortium’s Web Map Service (WMS) specification for multidimensional gridded environmental data. ncWMS can read data in a large number of common scientific data formats – notably the NetCDF format with the Climate and Forecast conventions – then efficiently generate map imagery in thousands of different coordinate reference systems. It is designed to require minimal configuration from the system administrator and, when used in conjunction with a suitable client tool, provides end users with an interactive means for visualizing data without the need to download large files or interpret complex metadata. It is also used as a “bridging” tool providing interoperability between the environmental science community and users of geographic information systems. ncWMS implements a number of extensions to the WMS standard in order to fulfil some common scientific requirements, including the ability to generate plots representing timeseries and vertical sections. We discuss these extensions and their impact upon present and future interoperability. We discuss the conceptual mapping between the WMS data model and the data models used by gridded data formats, highlighting areas in which the mapping is incomplete or ambiguous. We discuss the architecture of the system and particular technical innovations of note, including the algorithms used for fast data reading and image generation. ncWMS has been widely adopted within the environmental data community and we discuss some of the ways in which the software is integrated within data infrastructures and portals.

Self-Service Business Intelligence verktyg – möjligheter ochbegränsningar : En jämförelse av teorier om Self-Service Business Intelligence verktyg och praktiska resultat av verktyget PowerPivot

Inom Business Intelligence har begreppet Self-Service Business Intelligence (Self-Service BI) vuxit fram. Self-Service BI omfattar verktyg vilka möjliggör för slutanvändare att göra analyser och skapa rapporter utan teknisk support. Ett av dessa verktyg är Microsoft PowerPivot.På Transportstyrelsens Järnvägsavdelning finns behov av ett Self-Service BI-verktyg. Vi fick i uppdrag av Sogeti att undersöka om PowerPivot var ett lämpligt verktyg för Transportstyrelsen. Målet med uppsatsen har varit att testa vilka tekniska möjligheter och begränsningar PowerPivot har samt huruvida PowerPivot är användbart för Transportstyrelsen.För att få en djupare förståelse för Self-Service BI har vi kartlagt vilka möjligheter och begränsningar med Self-Service BI-verktyg som finns beskrivna i litteraturen. Vi har sedan jämfört dessa med våra testresultat vilket har varit syftet med uppsatsen.Resultatet av testerna har visat att Transportstyrelsens Järnvägsavdelning initialt behöver teknisk support för att använda PowerPivot. Testerna har även visat att vissa av Transportstyrelsens krav inte kan uppfyllas. Detta minskar användbarheten för Transportstyrelsen.Vidare har vi kommit fram till att Self-Service BI inte alltid är enkelt att använda för slutanvändare utan teknisk support. Resultatet visar även att det krävs en BI-infrastruktur för att enkelt skapa rapporter med god kvalitet och högsta möjliga korrekthet.

Conceptualizing the ιnfluence of the self-service technology context on consumer voice

The self-service technology (SST) context is characterized by consumer participation in service production and delivery, independent of service personnel; a lack of interpersonal interaction between consumers and service personnel; and consumers being required tointerface and interact with technology. With these features of the SST context in mind, in situations where SSTs fail to perform as promised, some challenges arise: consumers who are dissatisfied do not have the security or reassurance of service personnel to assist them; service personnel do not have the opportunity to prompt consumers to voice their dissatisfaction; and consumers need to initiate their own complaint response. If consumers fail to report their dissatisfaction directly to the organization, organizations will not know that a problem exists and may experience negative consequences such as consumer switching behavior. As reports of consumer dissatisfaction with SSTs become increasingly common, it is important, therefore, to investigate how organizations with SST-based offerings can encourage consumers to voice their dissatisfaction directly to the organization. Although the antecedents of consumer voice are well documented in the interpersonal services context, in the context of SSTs they have been subject to very little conceptual or empirical scrutiny. This paper argues that voice needs to be revisited with respect to SSTs due to their unique characteristics compared to interpersonal services, and presents a conceptual model of the antecedents of consumers' voice behavior in the context of SSTs.

The dimensions of self-service technologies and the relation to 'self'

This paper assesses the “behavioural” notion of “self” across the various dimensions of self-service technologies (SSTs). In the context of SSTs, it is acknowledged that the customer role is extended to include that of “service employee”. Therefore, the authors propose the need to explore this new role, from the customer’s perspective, across a diverse range of SSTs. This proposition is supported in that prior research has looked generally across a broad range of SSTs, as opposed to drawing comparisons across the different types of SSTs. In bringing together two classification schemes of SSTs, which does not appear to have been done previously, the authors draw on past research and industry examples to explore the customer experience across different categories of SSTs. It is proposed that the dimensions of SSTs, including level of customer participation as influenced by the purpose of the SST, location of the SST, and type of technology employed, will uniquely influence the notion of “self”, and thus the customer’s SST experience. These propositions have implications for both future research and practice. Future research is needed to study empirically the characteristics of specific SSTs, and compare the many different types of SSTs, and how their unique characteristics influence the customer’s production/consumption experience. When marketers gain a better understanding of the dimensions of individual SSTs, and their influence on the customer, more effective management and use of SSTs will result.

The need to vent and dissatisfactory self-service technology encounters

Reports of customer dissatisfaction with self-service technologies (SSTs) are becoming increasingly common. The SST context is characterised by customer participation in service production and delivery, independently of service personnel. With no opportunity for humanto- human interaction, feelings of customer irritation and frustration can have a tendency to build-up in dissatisfactory SST encounters. If SSTs do not perform as promised, customers can become angry and frustrated, and do not have the security or reassurance of human service personnel. With this in mind, it is argued that customers’ “need to vent” will be an important predictor of customers’ complaint behaviours (CCBs), i.e., voice, negative word of mouth, negative “word of mouse”, third party action, false loyalty and exit, in dissatisfactory SST encounters. The “need to vent” is defined as the need, when one has a problem, to seek relief by expressing one’s problem / “getting it off one’s chest”. This construct has been subject to little conceptual or empirical scrutiny, and to the researchers’ knowledge, has not been previously operationalised or measured. This paper begins to address this gap by presenting a conceptual model and hypotheses depicting the relationships between the need to vent and CCBs in the context of SSTs.

The measurement of attribution of blame in the self-service technology context

It is argued that attribution of blame (AoB) will differ in the Self-Service Technology (SST) context versus the interpersonal services context, due to the inherent elements of the SST environment, thereby making it a construct worthy of further research in the SST setting. This paper presents a first step in this pursuit by validating a multiple-item instrument of AoB in the SST context, which, to the researchers’ knowledge, has not been done previously. The paper comments on the surprising lack of valid, unidimensional instruments to measure each of the dimensions of AoB (locus, controllability and stability), even in the interpersonal services context. Preliminary results of a pre-test and pilot study support a three-dimensional measurement model of attribution of blame, in the SST setting.

Consumer complaint channel choice in self-service technology encounters

Consumers’ choice of channel to communicate complaints, following the decision to voice to the organisation, has received very little research attention. This study contributes to filling this gap by exploring the drivers of consumers’ choice of complaint channel in the self-service technology (SST) context. Surprisingly, in this context, consumers have often chosen interpersonal complaint channels over electronic channels, resulting in some of the value of using SSTs being lost for consumers and organisations alike. Preliminary findings indicate that the perceived ease of use, the likelihood of organisational response, the desire for social interaction and the source of the SST-related complaint, might provide some clues as to the organisational strategies that can be used to encourage greater utilisation of technology-based complaint channels.

Self-service technologies and voice intentions : an empirical investigation

Consumer dissatisfaction with self-service technologies (SSTs) has become prevalent. Although consumers’ voice has been studied in the interpersonal services context, in the context of SSTs it has been subject to very little conceptual or empirical scrutiny. To fill this void, this study tests empirically a model of the antecedents of consumers’ voice intentions in the context of unsatisfactory SST encounters. The findings suggest the need to integrate both “new” and “conventional” complaint behaviour management in the SST setting.

Conceptualising the effect of self-service technologies on established brands

Self-service technologies (SSTs), such as machine assisted and electronic services are prevalent. Many established brands in industries such as banking, retailing, and hospitality have adopted SSTs to complement or replace existing channels of service delivery, e.g., face-to-face service. However, the influence of SSTs on established brands has not been examined previously. In the light of this, a conceptual model is proposed that incorporates SST-related variables and their influence on brand satisfaction, brand associations, brand attitudes, and brand loyalty, along with customers' future likelihood to reuse the SST. Arguably, these outcomes affect brand equity and the long-term survival of SSTs.

Consumer dissatisfaction with self-service technologies : an empirical exploration of its antecedents

Self-service technologies (SSTs) are commonplace for consumers' use, which is reflected in the growing body of literature that pertains to SSTs. The bulk of this literature has focussed on the adoption of SSTs, while relatively little attention has been given to consumers' consumption and evaluation of SSTs. Arguably, this is an area worthy of exploration in the light of frequent reports of consumers' dissatisfaction with SSTs. Therefore, this paper examines the antecedents of consumers' overall dissatisfaction with an SST encounter, and finds that consumers' dissatisfaction with the attributes of the SST and consumers' perceptions of causal controllability explain 50 per cent of the variance in consumers' overall dissatisfaction with the SST Insights into removing the causes of SST dissatisfaction are offered to managers, which are, arguably, important for consumer retention.

Exploring self-service technology powerlessness

Self-service technologies empower consumers to do things for themselves that they could not do before. In the case of consumers’ unsatisfactory encounters with self-service technologies, however, consumers feel powerless. Self-service technology powerlessness is defined as consumers’ feelings of SST dominance. To the authors’ knowledge, this construct has not been investigated previously in the service domain. This paper examines self-service technology powerlessness, and proposes and tests a model of its antecedents and consequences in unsatisfactory encounters with self-service technologies. Consumers’ dissatisfaction with the attributes of self-service technologies was found to be related to consumers’ perceptions of powerlessness. Exit and negative word were found to be outcomes of it.

Predicting the likelihood of voiced complaints in the self-service technology context

There is considerable evidence to suggest that consumer dissatisfaction with self-service technologies is widespread. However, there has been little conceptual or empirical scrutiny of the likelihood that consumers will complain to an organization (likelihood of voice) in this context. This study contributes to the service domain by testing empirically a model of the antecedents of consumers' likelihood of voice in unsatisfactory encounters with self-service technologies. A model is tested that combines established antecedents of voice, such as likelihood of voice success, and those that have not yet been considered, including self-service technology powerlessness and need to vent. The results support the proposed model in general. Theoretical and managerial implications of the findings are discussed.