Abstract
This article links service-dominant (S-D) logic to the call for better theoretical frameworks to understand research utilization in business and management. It contributes to explaining what happens in cocreating knowledge between researchers and research users and also contributes to the development of midrange theory on S-D logic. A framework is utilized, based on Vargo and Lusch’s (2016) update on S-D logic. To demonstrate application, the framework is applied to an example of the authors’ research on marketing agencies and their clients. Implications for theory and academic practice and policy are put forward. The S-D logic framework is not tied to any particular research method or way of working and has benefits in being applicable to marketing research and across the wider field of business and management. The idea of resource enhancement is put forward as a learning process in explaining what happens to the actors’ resources in the course of resource integration.
Keywords
Introduction
The call for academic research to be seen to create social and economic impact is a global issue. It is apparent in the 2020 strategy in Europe and the Star Metrics initiative in the United States (LERU, 2012). In the United Kingdom, it was stressed in the 2014 Research Excellence Framework (REF, 2014). The agenda for achieving wider impact is therefore an important issue for higher education contexts across the world, and yet it is under-researched (Watermeyer, 2014). In marketing and the wider field of business and management, the impact agenda connects to the debate about the utilization of academic research. The contention of this article is that research utilization is a cocreative activity. An academic requires a third party to take some action or change their views as a result of the academic’s research in order for utilization to take place. Therefore, it always involves some element of cocreation. The purpose of the article is to take a framework from service-dominant (S-D) logic (Vargo and Lusch, 2004, 2008, 2011, 2014, 2016) and apply it to the cocreation of value from academic research, responding to the call for rigorous investigation of how the results of scientific research are utilized in management practice (Kieser et al., 2015). Thus, the aim is to contribute to theory on research utilization, as well as to the development of midrange theory on S-D logic (Vargo and Lusch, 2017).
The article begins with a discussion of the impact policy agenda across the world and its relationship with research utilization within management and marketing research. There follows a review of the limitations of the extant literature on knowledge generation and utilization in management, concluding with Kieser et al.’s, (2015, p213) call for theoretical frameworks to fill a gap between ‘the utilization of management research and the social dynamics between academic and experiential knowledge’. The argument, in this article, is that S-D logic has great potential to contribute to this gap in the way it conceptualizes value in use from multiple points of view. As such, S-D logic is appropriate in incorporating the different perceptions of value of academics and practitioners dealing with the complexity and paradoxes of engaging with each other. A framework for utilization, utilizing the core ideas of S-D logic, as restated by Vargo and Lusch (2016), is then discussed and applied to the academic/practitioner research utilization context. An illustrative example is provided, relating to the authors’ experience of conducting research with marketing agencies and their clients. The subsequent discussion section considers the insights that might be gained and the practical implications for academic researchers.
The wider impact agenda and the policy context
The pressure on the higher education sector to demonstrate wider impact from research is apparent across the globe (Watson et al., 2011). The European 2020 strategy includes wider impact, as one of the key criteria, in allocating research funding and the US Star Metrics initiative is designed to measure the impact of scientific investment (LERU, 2012). In the United Kingdom, the perceived importance of university-business collaboration has been reinforced by a series of government reports (Dowling Review, 2015; Wilson Report, 2012; Witty Report, 2013). Thus, impact is a political agenda with a widespread reach.
The achievement of wider social and economic impact requires academics to go beyond simply communicating their findings. The UK REF (2014) guidelines made it clear that dissemination activity on its own, without evidence of its benefits, would not be considered to be a demonstration of impact (REF (2014) report). This requirement suggests that academics need to collaborate with research users in demonstrating how the research findings have been utilized. In management research, research usage can be seen to be about both knowledge dissemination and knowledge production (Shapiro et al., 2007). That is to say, it is not purely about disseminating and translating research from academics to practitioner audiences, but also requires both sides to engage together to cocreate new useable knowledge. This is a key point, achieving impact requires a third party to think or act in a way that is influenced by the research. This poses many challenges for academics researching in marketing and in the wider field of business and management, as will be discussed in the following sections.
Utilization in management and marketing research
Utilization in marketing research is usefully seen in the context of the wider disciplinary debate over the practitioner relevance of management research. A gap between academia and practice is said to have opened up (Pfeffer and Fong, 2002; Rynes, 2007) and much of the teaching and research carried out in universities is said to be irrelevant to the needs to business (Bartunek and Rynes, 2014; Bennis and O’Toole, 2005; Huff, 2000). In other words, the outputs of management research are criticized for not having impact on the practice of management. Marketing has been specifically criticized in this respect (Baker and Holt, 2004; Mason et al., 2015; Mentzer and Schumann, 2006; Reibstein et al., 2009; Storbacka, 2014).
The argument goes that the divergence is detrimental to the development of the marketing field (Reibstein et al., 2009). Fendt et al.’s (2008) analysis of the theory–praxis gap suggests that usefulness, as embodied in pragmatism, should be an important criterion in designing research. Good theory needs to be based on both originality and practical utility (Corley and Gioia, 2011) and therefore needs to be based on the reality of the human experience of practice (Knights and Scarborough, 2010; Mason et al., 2015). Collaboration with practitioners, customers and stakeholders is often an important element in theory development (Brodie, 2017) and in marketing management, this requires an understanding of how research is relevant to the role of the practitioner in relation to the organization in which they work (Jaworski, 2011).
However, despite the longevity of the debate and the many solutions put forward in the literature, little progress has been made in increasing relevance (Bartunek and Rynes, 2014). It can be very difficult for researchers to move between the different communities of practice of academia and business (Shrivastava and Mitroff, 1984) because of the contradictions and paradoxes stemming from different practices, systems, time horizons, incentives, objectives and world view between the communities (Bartunek and Rynes, 2014). Moreover, the pressure to produce high-quality academic outputs may make it very difficult for an academic to spend the time and effort necessary to become a provider of ideas to the business world (Martin, 2012). There is also the question of motivation. As Jaworski (2011) observes, the academic marketing community is split on the desirability of collaboration with practice.
In summary, the utilization of management research in general and marketing research, in particular, has largely been discussed in relation to relevance to practice and to the significant challenges of engaging with practice. The next section takes a broader perspective in reviewing the existing literature conceptualizing the ways knowledge is developed and shared with research users.
Knowledge creation and utilization
Gibbons et al.’s (1994) concept of modes 1 and 2 knowledge creation can be seen to have been influential in the management literature on research utilization. Mode 1 (M1) means research that is conducted by academics without any involvement from practitioners. In M1 research, problems are set and solved within the academic community and the process of utilization is sequential, with discovery of new knowledge preceding its application. In contrast, Mode 2 (M2) research is conducted in the context of application and discovery and application are inseparable. An imperative of M2 is that the exploitation of knowledge requires participation from practitioners in its generation.
The M2 approach has been widely advocated in the management literature. Van De Ven and Johnson’s (2006) model involves the engagement of practice in problem formulation, theory building, research design and problem-solving in advancing scientific knowledge. In design science (Van Aaken, 2005), the development of valid knowledge related to field problems is favoured over the explanatory approach of the social scientists. Rather than aiming to find universal ‘truths’ the design scientist develops heuristic rules that managers adapt and redesign in implementation. Another way of sharing with practice is put forward in evidence-based management (Rousseau, 2007) which is about translating management principles into organizational practices (Rynes et al., 2007). These approaches can be critiqued from a number of viewpoints. Action research develops solutions that come out of trying to serve the interest of the client, design science is over mechanistic and evidence-based management suffers from lack of quality of evidence (Kieser et al., 2015). Most importantly, all these approaches require a high level of proactive involvement by practitioners and therefore, in turn, require a degree of consensus on the subject matter and a willingness to be fully committed by all the stakeholders. In a recent paper, Nenonen et al. (2017) reflect on how collaborative theorizing with managers can happen, drawing from examples of four case studies. In all the case studies, a significant proportion of the managers involved had bought into the programme and were involved in commenting on and critiquing theoretical frameworks. Nenonen et al. (2017) call for more research into this type of collaborative theorizing, but also call for research into situations where other approaches for achieving academic rigour and relevance are more suitable.
This is an important point; the reality of day-to-day engagement between scholars and practitioners is likely to involve a number of different ways of working together (Antonacopoulou et al., 2011). The idea that research in management falls neatly into M1 or M2 is said to be simplistic (Bresnan and Burrel, 2012; Huff, 2000) and normative (Hessels and van Lente, 2008; Kieser et al., 2015). Hessels and van Lente (2008) suggest that M1 and M2 should be seen as two ends of a continuum and point to Stokes (1997) typology of research as a way forward. The Stokes typology identifies four quadrants relating to fundamental understanding versus consideration of use. Only one quadrant fulfils both criteria.
Kieser et al. (2015: 213) recognize that research utilization needs to be defined broadly: ‘The concept of utilization does not restrict the ways and the context in which research is used, nor does it prescribe who can use it and what role its users play in the process’. Kieser et al. (2015: 213) conclude that the fundamental problem in the debate is that there is a lack of a theoretical and empirical foundation. They suggest that a first step is to develop theoretical frameworks for research on ‘the utilization of management research and the social dynamics between academic and experiential knowledge’ (Kieser et al., 2015: 213). The theoretical frameworks ‘need to acknowledge that there are many different ways in which management research can be utilized’ (Kieser et al., 2015: 216). This is where S-D logic has great potential to contribute, as will be discussed in the next section.
S-D logic as a theoretical framework for examining research utilization
The concept of research utilization connects to the idea of cocreation and value in use, key ideas running through the work of Vargo and Lusch (2004, 2008, 2011, 2014, 2016, 2017) and others on S-D logic. A central and prevailing theme of S-D logic is that value is created by service-for-service exchange (Vargo and Lusch, 2008, 2011, 2016, 2017). The creation of knowledge through research can be seen as service, in which skills and knowledge are applied to gain new insights for the benefit of others. The realization of the benefit requires a third party to be influenced by or act on the research.
Vargo and Lusch (2016) have recently restated the core ideas of S-D logic, in five axioms, based on the debate that has developed since their initial article. To paraphrase Vargo and Lusch (2016), value is cocreated through: Actors involved in resource integration and service exchange, enabled and constrained by institutions and institutional arrangements, establishing service ecosystems of value creation. Table 1 demonstrates the applicability of these ideas to research utilization.
Relevance of themes in S-D logic to research utilization.
Source: Adapted S-D logic literature (Vargo and Lusch, 2014, 2016, 2017).
S-D logic initially focussed on the roles of customers and suppliers in cocreation (Vargo and Lusch, 2004); however, the perspective now taken is of cocreation taking place far more widely in exchanges between generic actors: ‘Value creation does not just take place through the activities of a single actor (customer or otherwise) or between a firm and its customers but among a whole host of actors’. (Vargo and Lusch, 2016: 9). The wider conceptualization lends itself to the consideration of the range of academic and non-academic actors that become involved in utilizing research findings.
The actors integrate operant and operand resources (Vargo and Lusch, 2011). Operant resources are the active agents in value creation, typically involving the knowledge and skills of the actors (Vargo and Lusch, 2004, 2008) and it is the integration of the operant resources, from those involved, that creates value (Kleineltankamp et al., 2012; Löbler, 2011; Vargo and Lusch, 2011). Vargo and Lusch (2004) conceptualize that resources come into being through cocreation, leading to the idea of potential resources that are made to be useful by interacting with other potential resources (Vargo and Lusch, 2011). When academics engage with practitioners both parties bring in a range of operant resources. A resource integration perspective allows for an examination of the nature of the resource inputs from the parties and a consideration of how these resources may change and develop in the process. An actor can be involved in resource integration at different levels from very active to passive (Löbler, 2013). The study of how resources become, through use, is still emerging and subject to ontological considerations (Peters et al., 2014). The move towards cocreation as being between generic actors rather than between customer and supplier reflects a move, identified by Löbler (2011), towards a philosophical underpinning of intersubjectivity in S-D logic. An intersubjective approach allows for the incorporation of both subjective and objective perspectives and therefore recognizes the value of considering resource integration as both emergent [focussing on the experience of the actors] and as interaction [focussing on the relationship between interaction and resources] (Peters et al., 2014).
In addition to integrating resources, the actors can be seen to be involved in service exchange. In identifying service as the fundamental basis of exchange (axiom 1), Vargo and Lusch are recognizing how value is created through the use of a product or service. The researcher can be seen to be providing service to the research user. Utilization only occurs when a research user is influenced by or acts on the research findings. The level of user engagement in service exchange may vary from full involvement, in cocreating the research from the beginning, through to being a recipient who acts on newly created knowledge. In addition, the utilization of the research may be immediate or delayed, as is the case where further technological developments are needed to realize the benefits of theoretical research. Thus, the spectrum of involvement is wide, but the fundamental principle is that service exchange between academic and non-academic actors is necessary to achieve research utilization.
A relatively recent addition to cocreation is that of the discussion of role of institutions and institutional logics. These are the formal and informal constraints (rules and norms) that play a major role in shaping actors’ behaviour in resource integration (Edvardsson et al., 2014). The emphasis on the institutional context has particular significance in considering utilization of academic research in the light of the literature on the challenges of moving between different communities of practice (Bartunak and Rynes, 2014; Shrivastava and Mitroff, 1984). Understanding the role that institutional norms play in shaping behaviour and perceptions (Edvardsson et al., 2014) and in what ways institutionalized rules need to be maintained or broken in taking on new ideas (Koskela-Huotari et al., 2016) is highly relevant.
A service ecosystem needs to be established to coordinate the cocreation of value (Vargo and Lusch, 2014). A service ecosystem is a relatively self-contained, self-adjusting system of resource integrators, with shared institutional logics, cocreating mutual value through service exchange (Vargo and Lusch, 2014). An S-D logic approach to utilization changes the focus from outputs to the activities and processes taking place in a service ecosystem and suggests practice theory as an approach to better understanding (Vargo and Lusch, 2016). Earlier work on practices in S-D logic suggests that practices exhibit commonalties relating to understandings, procedures and engagements (Schau et al., 2009), that practices are spread across time and space through a process of translation (Kjellberg and Helgesson, 2007) and that it is possible to develop typologies of cocreation practices in specific contexts (Frow et al., 2016). Exploring research utilization within different examples of service ecosystems would provide the opportunity to compare practice in varied contexts.
Value creation is a central idea in S-D logic. In S-D logic, value is a perception that is relative and individual, forming axiom 4: ‘Value is always uniquely and phenomenologically determined by the beneficiary’. Axiom 4 underlines the need to consider perspectives on value from different points of view. It is particularly appropriate for focusing on understanding the differing perceptions of academics and practitioners involved in knowledge creation, where both sides are engaging with the contradictions and paradoxes inherent in the situation (Bartunek and Rynes, 2014). If the value proposition (Frow et al., 2014) is sufficiently motivating, the actors commit their operant resources, specifically explicit and tacit knowledge (Ballantyne and Varey, 2006) to the value creation process. This covers a wide range of patterns of involvement, from simply combining the reader of a research report’s knowledge with that of the authors, through to joint research involving a high level of interaction and resource integration. Academic and non-academic stakeholders will have a range of different perceptions in relation to the value of research in general and specific research findings. Exploring different perspectives on what is valuable knowledge is important in understanding utilization from the points of view of the needs of different actors.
In putting forward S-D logic as a new perspective in the utilization of research, it should also be recognized that value can also be codestroyed (Plé and Chumpitaz Cáceres, 2010). Research may have negative as well as positive impact, depending on how it is used and the value perception of different actors.
Example: Applying the framework
To illustrate application of S-D logic to research utilization, the authors have applied it to provide a lens to view their own proactive engagement with practitioners over a 4-year period in relation to their research with marketing agencies and their clients (Vafeas et al., 2016; Vafeas and Hughes, 2016). The agencies were all marketing agencies involved specifically in the marketing communication process. This included full-service advertising agencies, design agencies, digital marketing agencies, PR agencies and promotional agencies. The authors followed up the initial research with activities designed to engage with practitioners, disseminate the research results and encourage utilization of the research in the practioners day-to-day practice. An overview of the research development and dissemination process is provided in Table 2.
Stages of research and dissemination.
Stage 1: Initial case study research
Initially, clients were approached and if the client agreed to take part, their agency was contacted. Sampling was purposive through the selection of individuals with the potential to provide perspectives directly related to the purpose of the research (Silverman and Marvasti, 2008). Twenty-five interviews were conducted with 7 clients and 18 agency executives. Two of the clients gave access to two of their agencies and nine separate cases were developed, each based on the relationship between a client and an agency. The clients included global, large, medium and small companies across a range of product and service sectors. The client interviewees all dealt directly with agencies and had job titles such as Marketing Director, Marketing Manager or Marketing Executive. The agencies ranged from a top five London full-service agency, through medium-sized agencies (some full service and others specialists in design, direct or digital marketing) to internal agencies (two cases).
The research findings covered a number of areas of potential interests to clients and agencies, as summarized in Table 3.
Summary of initial research findings of potential interest to practitioners.
Stage 2: Agency/client workshops
The next stage was designed to share the research findings and analysis more widely with practitioners. The workshops ran over a period of 6 months. The first workshop aimed at agencies, the second at clients and the third intended to bring together both agencies and clients. The workshop delegates were charged for attendance and the subsequent income from delegate fees made the workshop series self-funding ending. The workshops included presentation of the findings from the initial research; open discussion of the findings and group work. Where possible, delegate’s discussion and feedback were recorded and delegate’s feedback was collected at the end of each workshop.
Stages 3 and 4: Presentations to practitioners and individual agency workshops
Two further presentations were made to large audiences of practitioners. The nature of these sessions was more about straight dissemination of the research findings rather than a two-way dialogue. However, in both sessions, the authors offered to put on follow-up workshops with individual agencies that wanted them. In response to this, nine individual agency workshops were set up and were subsequently run covering a total of 112 agency executives. At the end of each workshop, feedback was collected from the participants and an arrangement was made for a follow-up session to take place in 9 months’ time.
Application of the S-D logic framework to the example
The actors
In the first place, the authors identified the actors who might be interested. In this case, the actors were defined as marketing professionals, using marketing agencies and account executives, managers and creatives from marketing communication agencies. Setting up a means of communication with these practitioners necessitated the involvement of other actors from professional associations, representing marketing and creative businesses in the region of the authors’ university. In attracting practitioners, the authors were greatly helped by partnering with these professional network organizations. Actors from these networks promoted the workshops to their members, advised on the messages that would be most motivating in getting practitioners to attend and introduced the workshops. Therefore, the network helped in developing and communicating a value proposition. In this case, the value proposition was about improving the working relationship between agencies and clients and this was motivating for a significant number of practitioners, who were willing to pay to come to the initial workshops and also to give up the time of a large proportion of their employees to take part in the workshops for individual agencies (see Table 2). Other actors involved included consultants working with advertising agencies, who were interested in using the research results in the course of their work with their clients. The agency community proved to be far more responsive than the client community. The value proposition appeared to be weaker in relation to clients, perhaps because they feel that if the agency relationship is not working they can change agencies. As Kieser et al. (2015) point out, other factors than scientific rigour determine practitioner adoption. The interest in the research from the agency community related to their perception of its relevance to their current business challenges.
Resource integration
S-D logic recognizes the importance of integrating the operant resources (knowledge) of the actors in cocreation. Research utilization requires integration of new knowledge from the research to be integrated with the existing knowledge of the research users to create new knowledge, which becomes a resource for the user. As discussed earlier, S-D logic allows for the incorporation of both subjective and objective perspectives (Löbler, 2011; Peters et al., 2014) and therefore resource integration can be seen as emergent, as experienced by resource integrators, and interactive, as viewed through considering the relationship between interaction and resources; this is summarized in Table 4.
Resource integration.
In the agency/client workshops, the authors presented the findings from the initial case studies and then facilitated group discussions in a collaborative effort to extend the participants’ understanding of the initial findings. The group discussions then moved on to discuss how some of the challenges thrown up by the research findings could be overcome. Therefore, an interactive process of resource integration took place. The experience of the resource integrators provides triangulation through evidence collected in feedback forms relating to the knowledge gained (see Appendix 1 for selected examples). This tacit knowledge then enhanced the richness of the findings and was incorporated in subsequent larger scale practitioner presentations. The presentations then lead to the setting up of the individual agency workshops; where again the authors ran groups combining knowledge from the previous stages with tacit knowledge from the narrower context of each agency. The individual agency workshops focussed on the specific implications of the research findings for each agency and involved participants with different job roles within the agency. Hence, at this point, the resource integration was very much specific to the particular context of utilization.
A recurring theme in S-D logic is the questions of what happens to resources as a result of integration. In the context of resource integration between academics and practitioners, the operant resources of the participants can be seen to have been enhanced through resource integration. Knowledge is an operant resource, and through resource integration, learning has taken place. This relates directly to research utilization. If research is to be used, the research user needs to have learnt something new from the research and then to have operationalized this learning in their subsequent practice. This can be seen as the learning process which provides the participants with improved capabilities in dealing with the issues raised in the research more effectively in the future. At the end of the workshops, delegates were asked to fill in feedback forms on what they learnt and what they would do differently, as a result of the workshop (see Appendix 1). These feedback forms suggest that learning had taken place for most delegates and many expressed the intention to take action in their own context from what they had learnt. The individual agency workshops provided more direct evidence of resource enhancement, because the initial workshops were followed up with a second workshop at which it was possible to collect feedback on how the participants incorporated learning from the initial workshops into their practice.
Service exchange
It is interesting to reflect on the nature of the service exchanged at the different stages of research. Stage 1 (the case studies) was totally initiated and led by the authors, with the interviewees providing their time and knowledge. Stages 2 and 3 (agency and client workshops and presentations) were jointly conceived and planned between the authors and representatives of practitioner networks. The authors provided their analysis of the findings in the workshops, while the practitioners gave their time to absorbing this analysis. Stage 4 (individual agency workshops) was requested by agencies and focussed on their individual issues in relation to the research findings and what actions they might take. Therefore, at this stage, the service provided by the authors was exchanged and utilized in very specific contexts. An actor can be involved in cocreation at different levels from very active to passive (Löbler, 2011). In this example, the impetus in leading the service exchange moved from being purely that of the researchers, in the first stage, to becoming more jointly owned in the middle stages and more owned by practitioners in the individual agency workshops. This suggests patterns of service exchange that may be worth exploring in other contexts.
Institutions and institutional arrangements
Institutions and their logics are important in understanding service ecosystems (Vargo and Lusch, 2016). The practitioner actors themselves represented a range of different institutional logics from each other. For example, clients come from many sectors and with a range of professional backgrounds. Agencies contain actors with different professional backgrounds and affiliations. Feedback from the individual agency workshops suggests that the value of sharing the research lies in the fact that clients and agencies seldom discuss openly the state of their relationship. If clients are unhappy, they generally switch provider without explanation (there are plenty of alternative providers). If agencies are unhappy, they generally persevere without confronting the client because they are fearful of upsetting and losing the client. Sharing the research brought to light and shared the beliefs and attitudes of both partners in the relationship.
The fundamental difference in world views of academics and practitioners is well-documented (Bartunek and Rynes, 2014; Shrivastava and Mitroff, 1984). The authors were very aware of the need to incorporate the views and of different groups of actors in sharing the research. The benefit of cocreation is that it involves bringing in a range of actors with different viewpoints. Indeed, there would seem to be little benefit of cocreating with other actors with exactly the same views as each other.
Service ecosystem
A service ecosystem is a relatively self-contained, self-adjusting system of resource integrators, with shared institutional logics and mutual value cocreation through service exchange (Lusch and Vargo, 2014: 161). In working with agencies, through an existing network, over a prolonged period, the authors tapped into an existing ecosystem. Supporting, promoting and running the workshops with members, involved social networking practices, impression management practices (the network was seen to be putting on valuable educational events for their members) and community engagement practices, reinforcing members’ escalating engagement with the brand community (Schau et al., 2009). In engaging with the ecosystem, a process of translation of the research findings took place (Kjellberg and Helgesson, 2007) with the dialogue in the workshops by necessity relating to the interests of the practitioners and using practitioner ‘language’.
However, the authors’ engagement with clients was far less effective and not sustained over time. The ecosystem of clients appeared to be far less developed, probably because of the wide diversity of clients and lack of common identity. Furthermore, there is a lack of a meaningful service ecosystem that incorporates both clients and agencies. This was a major barrier to achieving utilization of the research findings.
Value creation
As discussed earlier, value in S-D logic is seen as an individual perception (Vargo and Lusch, 2004). Ratings were obtained from the delegates to the initial workshops using four-point scales in which the vast majority scored the workshops as excellent or good against a number of criteria. Positive value perception is also demonstrated in the case of delegates who came to presentations and then asked for workshops to be run in their agency. These delegates can be seen to have been sufficiently motivated in relation to the research to have encouraged further activities. Table 5 provides examples of the knowledge gained by participants in the individual agency workshops, showing potential instrumental and conceptual use of the knowledge. The increased involvement of practitioners at the different stages suggests that value in use may develop over time, but this aspect of operationalization of learning is difficult to demonstrate because it requires prolonged and significant engagement with specific practitioners. An example of this is a digital marketing agency that the authors have maintained a relationship with over the last 2 years. A director of the company stated that the research highlighted certain key areas to focus on: educating clients about the process; more extensive kick-off session; being more adaptable in communication; end of project sign off by clients.
Resource enhancement/learning from individual agency workshops.
The authors have seen how, as a result, the agency has made changes in the processes adopted across the agency in dealing with their clients. Furthermore, one of the authors has recently observed the agency in attending a series of meetings with a client from an early point in a project. The benefits of the approach are apparent in the openness of the dialogue with the client over a complex briefing and development process to produce a new website for the client.
The value the authors derived from the process was very different from that perceived by the practitioners. For the authors, the extended and time-consuming stages of interaction in this case provided corroboration of the research findings and extended the initial findings, giving more insight into the context of implementation and also how the new media environment may be changing the relationship between agencies and clients. The authors gained ideas for future research and also for new areas of marketing teaching.
Discussion and implications
Theory/models
Applying S-D logic to thinking about utilization of research provides a theoretical framework that goes beyond the simple M1 to M2 continuum or the classification of research into four quadrants. The framework in Table 1 does not try to put different research projects on a scale. Rather, Vargo and Lusch’s (2016) elements of S-D logic identify factors that can help to explain utilization. Thus, S-D logic overcomes the limitations of polarization of research into M1 and M2 and covers the whole continuum, allowing for different levels and types of resource integration between different actors within a research/practice/user ecosystem. This ecosystem can encompass one-to-one knowledge exchange, one-to-many knowledge exchange or many-to-many knowledge exchange.
The S-D logic framework entails a consideration of the actors involved in cocreating value in use. Identifying user groups and stakeholders and their networks is important to understanding who is utilizing research. Closely related to this is understanding the value proposition that will motivate different actors. Where a proactive approach is taken towards research utilization, an important first step may be to identify the actors who might be potential research users. In developing a motivating value proposition and communicating with potential users, it can be very helpful to work with network leaders. Research could be useful to explore and analyse different types of actor networks and their involvement in utilizing research. In recognizing that value is phenomenological, S-D logic embraces the different world views of the academic and the practitioner (Bartunek and Rynes, 2014; Shrivastava and Mitroff, 1984). The example shows how a compelling value proposition ensured participation from different parties. The practitioners were interested and involved because the research was perceived to address some pressing business challenges.
Research utilization can be seen to take place through the integration of operant resources. The authors’ example in Table 4 shows how this can be viewed from an interactional perspective or a subjective perspective. As previously mentioned, in the literature review, Vargo and Lusch (2004, 2011) conceptualize that new resources come into being through cocreation. The examples in Table 5 suggest that the participating actors were building on their existing knowledge to come up with new ideas for future actions. This suggests that not only new operant resources may be created, but also that existing operant resources can be enhanced through resource integration. The idea of resource enhancement in this context, as being about gaining of new knowledge and combining it with existing knowledge, connects resource integration to the existing literature on organizational learning and the development of knowledge (Cohen and Levinthal, 1990; Galunic and Rodan, 1998; Spender, 2008). It also has links with the knowledge management literature on how knowledge moves between communities of practice (Brown and Duguid, 1998), and the challenges in knowledge transfer (Easterby-Smith et al., 2008). The idea of resource enhancement extends our understanding of resource integration and suggests new avenues for further research, extending into learning and knowledge transfer. Longitudinal research designs are likely to be most effective in exploring the complexity involved in this.
Identification of patterns of application can be informative in developing midrange theory. The example demonstrates how the service exchange became more context specific over time, as represented in Table 6. As the stages progressed, it became more apparent which groups of users would be most interested in using the knowledge, and by the last stage (the individual agency workshops), the authors were providing their time and knowledge to the benefit of practitioners in particular organizations. The role of closeness to context in cocreation would be worth further research, because it can be seen to be relevant in different situations.
Role of specific context in cocreation.
Recent thinking on S-D logic has emphasized the different institutional logics of the actors involved in shaping their behaviours in a service ecosystem (Edvardsson et al., 2014; Vargo and Lusch, 2016) and the importance of practices that take place in ecosystems (Frow et al., 2016). In the example, the authors engaged with an existing network for the agency actors and stakeholders, but had more difficulty in engaging with client actors. The failure to establish an ecosystem that was inclusive of the different types of actors provides a perspective on the limitations of the way the research was utilized in the example. Further studies of ecosystems and how they are established in research user communities would be beneficial.
If utilization is to take place, the research user will have learnt something/changed their opinion/acted differently, as a result of exposure to new knowledge. Hence, the importance of understanding the value perceptions of research users, recognizing that each actor will have their own individual perception of the process, what they have learnt and how they intend to use the knowledge. Table 7 presents the authors’ interpretation of the motives of key players. This includes marketing consultants who requested to use the authors’ presentation with their clients.
Multiple actor perspectives.
It is envisaged that where the research users have positive perceptions, about their involvement, this will influence their views on whether they are prepared to commit their resources to further stages of the research. More research is needed to understand what motivates different groups of practitioners to engage with research at different stages and on how engagement in different ways and at different stages affects utilization. This would help academics to understand the value that different groups of users derive from the research in order to improve utilization of research findings. Outside of the research utilization context, there is much to learn about the motivation of different actors in different situations to cocreate. Further research could usefully explore actors’ motivations to cocreate and how motivation develops or declines over time in the course of cocreation.
Kieser et al. (2015) provide guidelines of the features that theoretical frameworks for research on utilization should possess. (1) They need to take account of the context. S-D logic’s approach to value in use is highly contextual and covers the actors, their institutional logics and arrangements and the ecosystems of utilization. (2) Knowledge gets transformed in the process. The concept of resource integration and service exchange can be applied very directly to knowledge transformation. (3) The scientific domain needs to be clearly conceptualized. The domain of S-D logic has been developed extensively in the academic literature over the last 13 years. (4) Utilization is shaped by its political and social context. Again, S-D logic’s recognition of institutional logics and arrangements and the ecosystems of utilization cover this. (5) Prospective theoretical frameworks need to acknowledge there are many different ways in which management research can be utilized. In recognizing that value is individual and phenomenological, S-D logic provides a way of considering different types of utilization under the unifying concept of value in use. That is to say it considers utilization as something that needs to be seen from multiple user perspectives.
The contribution to theory on research utilization within S-D logic is midrange, as suggested by Vargo and Lusch (2017: 7): At the core of S-D logic related midrange theory development is the issue of how to apply our collective skills, experiences and knowledge (operant resources), to provide benefit to households, practitioners, policy makers and others. If there is no benefit, by definition, there is no value in use and, thus arguably, the bridge from metatheory to application has failed.
Academic practice
The practical contribution of this article is to suggest a strategic approach for researchers in disseminating ideas and cocreating knowledge. The first step is to identify the actors. Who might be interested in the research and which aspects are important to them? Most academics engage in networks with other academics in their field, but less are likely to be engaged in practitioner networks. Management academics could adapt their networking skills to potential user networks if they wish to conduct engaged research. Finding a way to cross the boundaries between academics and practitioners (Knights and Scarborough, 2010) is essential. In the example, engagement with practitioner networks over a prolonged period, while not involving a full partnership, was sufficient to make the authors aware of what aspects of the research topic would be of significant interest to this audience. The main requirement for the academic researcher in crossing the boundary is the motivation to do so and a willingness to spend the time in understanding the practitioner world. The dissemination and subsequent further development of the findings, in the example, was facilitated greatly by the involvement of existing networks.
In the process of engagement, the authors did not, in the main, use academic language, but translated the findings to the practitioner context. Thus, to an extent, two dialogues needed to take place with a degree of translation/adaption to the context (Shapiro et al., 2007) and a knowledge of the managerial roles of the participants (Jaworski, 2011). It is acknowledged that knowledge can be used conceptually and symbolically, as well as instrumentally (Åge, 2014; Cornelissen and Lock, 2005). The authors were not trying to tell practitioners what to do, but to enrich their understanding of the decision situation (Nicolai and Seidl, 2010). This involved theory that influenced action through the practitioners selectively adapting ideas in a conceptual manner. Conceptual as well as instrumental use is demonstrated in the feedback from the individual agency workshops in Table 5. The idea of resource enhancement, on the academic side, can also be applied to the authors’ learning in facilitating the ongoing dialogue with practice and in enhancing their ability to interact effectively with practitioners at all stages.
Evaluation of research utilization is challenging. The criteria for the UK REF relates to the ‘reach’ of the impact (how widely has the impact been felt?) and ‘significance’ – (how much difference was made to the beneficiaries?) (Phillips and Maes, 2012). But Phillips and Maes (2012: 12) also state: ‘It might be that in many cases impact can only be described qualitatively’. The authors managed to get feedback on changes made by agency practitioners through returning to those practitioners and asking about changes made. S-D logic underlines the need for qualitative assessment of value from different viewpoints in determining benefits within the impact agenda.
The learning from such engagement can also have great benefits in enhancing the contemporary relevance of teaching (Phillips and Maes, 2012). The authors’ own university runs large marketing programmes at undergraduate and postgraduate levels. The findings from the research are now incorporated in the syllabus at both levels to better equip students in their future roles. In addition, several of the practitioners involved volunteered to deliver guest lectures to students on undergraduate and postgraduate courses.
Applying S-D logic to view the research user as the cocreator in knowledge utilization also has significant implications for the management of business schools and for policy. The practitioner community should be seen as a resource that needs to be integrated with the resources of the business school if impact from research is to be realized. Consideration needs to be given to building research centres and teams that contain the range of skills required to both conduct excellent research and engage effectively with research users. Developing academics teams that can do this has implications for business schools in the way that the academic is trained, motivated, assessed and rewarded.
Conclusions
The example, provided for this article, demonstrates the applicability of S-D logic as a theoretical framework to view the particular empirical context of academics working with practitioner research users to cocreate research utilization. Of course, there are many different ways and contexts in which research findings are utilized and our contention is that S-D logic provides an approach that would be widely applicable and meets the requirements that Kieser et al. (2015) set in calling for a common theoretical framework for researching utilization in management. S-D logic is not tied to any particular research method or way of working. It can apply to crossdisciplinary working between academics from different fields and practice and also across countries. From a practical point of view, the framework highlights some imperatives for researchers seeking to make a difference to the wider society and economy.
Therefore, the main contribution of this article is to link S-D logic to the debate about the utilization of academic research. The link between research utilization and S-D logic has not previously been recognized. The application of S-D logic as a framework overcomes the polarization of thinking about knowledge creation being on M1 or M2 continuum, encompassing all the different levels and types of interaction that may take place, without making normative assumptions about what mode is desirable.
There is much to learn within S-D logic on what happens to resources following resource integration. In the example, for this article, an important outcome from resource integration is resource enhancement and this is directly relevant to utilization, as it applies to considering the effect that the cocreative process has had on the knowledge of the research users. This introduces a new perspective on resource integration linking the result of resource integration to the literature on learning.
A limitation of this article is that the application of the S-D logic framework to the engagement with research users was applied in retrospect. Utilizing the framework from the start of research projects through to utilization, on a longitudinal basis, would allow researchers to set up ongoing analysis from the start. For example, researchers could look at the practices of different actors at different points in the process; the change in the actors’ operant resources over time; the role of actors’ at different points; the formation of ecosystems and changing value perceptions over time.
Footnotes
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.

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