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The present study sets out to understand how a manufacturing company in the maritime industry utilized creative design principles and developed service design routines to advance digital servitization (i.e. the transition to offering smart product-service-software systems–PSS) and realize subsequent positive growth outcomes.

We build upon a longitudinal single case of a marine solution provider. Using an action research approach, we collected data through in-depth interviews and informal conversations involving senior managers, project members and customer representatives over a three and a half-year period. In addition, secondary data such as documentary data, service design tools and visualization were utilized.

The inductive analysis highlights the underlining role of four service-design routines that drive creativity and an innovative approach to digital servitization transformation. More specifically, we identify (a) user insights through creative customer data acquisition, (b) smart PSS collaboration through co-creation across departments, (c) smart PSS ideation through creative forms of collaboration and (d) effective smart PSS delivery and commercialization through creative concept design as the drivers of the case company digital servitization transformation.

We encourage senior managers within large manufacturing companies to promote the development of service design routines as these promote the transformation process from being a product-centric to service-centric firm. The four service design routines are built on a set of service design sub-activities providing concrete actions that can be applied by senior managers to successfully develop and deliver smart PSS offerings and achieve growth outcomes.

This study contributes by integrating digital servitization and service design literatures. We illustrate how manufacturing firms can drive a transition to digital servitization through service design activities and routines development for smart PSS strategy implementation.

Drawing on the resource-based view of the firm, this study aims to analyze solution providers’ strategic capabilities that facilitate above-average returns.

The study applies a qualitative comparative case method. In addition to an extensive set of secondary data, the results are based on interviews with 35 executives from nine leading industrial solution providers, their strategic customers and suppliers. The analyzed solution providers were identified based on quantitative survey data.

By observing six distinctive resources and three strategic business processes, the present study identifies seven strategic capabilities that occur in different phases of solution development and deployment: fleet management capability, technology-development capability, mergers and acquisitions capability, value quantifying capability, project management capability, supplier network management capability and value co-creation capability.

The study develops a generic model for the strategic capabilities of servitization. Application of the developed model to different contexts would further validate and enhance it.

Managers can use the developed model to benchmark, identify, build and manage solution providers’ strategic capabilities and associated practices.

The study develops a valuable conceptual model based on the comparative case data. Case firms were selected for the study based on a representative quantitative data set. The results were verified and triangulated with external data.

The purpose of this paper is to organize and connect past research from different servitization-related scholarly communities.

This study reviews more than 1,000 articles by combining author co-citation and qualitative content analyses.

The structure and boundaries of the field are mapped, and the characteristics of the three identified servitization-related communities are assessed qualitatively. These three communities are product-service systems, solution business, and service science. The findings demonstrate that a narrow range of theories and qualitative methods dominate in existing research.

Through the lens of the sociology of science, this review critically evaluates servitization-related research and offers a list of themes that are considered important to the future development of the field. Regarding future research, the main recommendations are as follows: increasing the use of well-established theories from adjacent mature fields, borrowing ideas from different research communities to stimulate knowledge accumulation within and across communities, and reducing the level of description while increasing the number of confirmatory, quantitative, and longitudinal research designs. Finally, the development of formal structures for socialization (e.g. conferences and special issues) could allow the field to achieve a greater degree of scientific maturity and would influence the direction and pace of the development of servitization-related research.

The business intelligence (BI) research witnessed a proliferation of contributions during the past three decades, yet the knowledge about the interdependencies between the BI process and organizational context is scant. This has resulted in a proliferation of fragmented literature duplicating identical endeavors. Although such pluralism expands the understanding of the idiosyncrasies of BI conceptualizations, attributes and characteristics, it cannot cumulate existing contributions to better advance the BI body of knowledge. In response, this study aims to provide an integrative framework that integrates the interrelationships across the BI process and its organizational context and outlines the covered research areas and the underexplored ones.

This paper reviews 120 articles spanning the course of 35 years of research on BI process, antecedents and outcomes published in top tier ABS ranked journals.

Building on a process framework, this review identifies major patterns and contradictions across eight dimensions, namely, environmental antecedents; organizational antecedents; managerial and individual antecedents; BI process; strategic outcomes; firm performance outcomes; decision-making; and organizational intelligence. Finally, the review pinpoints to gaps in linkages across the BI process, its antecedents and outcomes for future researchers to build upon.

This review carries some implications for practitioners and particularly the role they ought to play should they seek actionable intelligence as an outcome of the BI process. Across the studies this review examined, managerial reluctance to open their intelligence practices to close examination was omnipresent. Although their apathy is understandable, due to their frustration regarding the lack of measurability of intelligence constructs, managers manifestly share a significant amount of responsibility in turning out explorative and descriptive studies partly due to their defensive managerial participation. Interestingly, managers would rather keep an ineffective BI unit confidential than open it for assessment in fear of competition or bad publicity. Therefore, this review highlights the value open participation of managers in longitudinal studies could bring to the BI research and by extent the new open intelligence culture across their organizations where knowledge is overt, intelligence is participative, not selective and where double loop learning alongside scholars is continuous. Their commitment to open participation and longitudinal studies will help generate new research that better integrates the BI process within its context and fosters new measures for intelligence performance.

This study provides an integrative framework that integrates the interrelationships across the BI process and its organizational context and outlines the covered research areas and the underexplored ones. By so doing, the developed framework sets the ground for scholars to further develop insights within each dimension and across their interrelationships.

The present study intends to foster understanding of how a traditional manufacturer can utilize the “simple rules” approach of managerial heuristics to facilitate its smart solution development (SSD) process.

The study uses an in-depth single case research strategy and 25 senior manager interviews to understand the application of simple rules in smart solution development.

The findings reveal process, boundary, preference, schedule, and stop rules as the dominant managerial heuristics in the case and identify how the manufacturer applies these rules during the innovation process phases of ideation, incubation, transformation, and industrialization for attaining project outcomes.

The study contributes to the new service development (NSD) literature by shedding light on simple rules and how managers may apply them to facilitate SSD. The main limitations stem from applying the qualitative case study approach and the interpretative nature of the study, which produces novel insights but prevents direct generalization to other empirical cases.

The resulting framework provides guidelines for managers on how to establish formal and clear simple rules that enable industrial solution providers to approach decision-making in smart solution development in a more agile manner.

The study comprises one of the first attempts to investigate managerial heuristics in the context of SSD and puts forward a plea for further NSD research applying psychological conceptualizations to enrich the simple rules perspective.

The purpose of this paper is to develop a new scale for measuring the scope (i.e. breadth and depth) of industrial service offering.

The scale and its constructs are developed by combining the key insights from prior literature and practitioners gained through expert interviews; validating the constructs by 3 item-construct validation rounds with 9 academic experts; and by testing and further revising the scale, with a sample of 91 manufacturing firms.

The distinct contribution of the study is the construction and validation of a new multi-dimensional scale for operationalizing the scope of industrial service offering. In addition, the identified service categories (i.e. pre-sales services, product support services, product life-cycle services, R&D services and operational services) extend the current literature on service typologies.

The data are somewhat biased toward small- and medium-sized industrial firms. Hence, the development of the measurement in the context of large industrial firms provides one fruitful avenue for further research.

For managers of industrial firms, the identified service categories provide novel insight on how to develop, bundle and commercialize industrial services to their varying customer segments.

This study develops a multi-dimensional, fine-grained, statistical and relationship-level scale for measuring the scope of industrial service business. Moreover, this study tests and further develops the scale with quantitative empirical data.

This paper aims to identify a manufacturer’s abilities to develop, build, sell and deliver Internet of Things (IoT) services.

This paper is a qualitative comparative case method that uses multiple sources of data, including executive interviews and secondary data, to understand a manufacturer’s IoT capabilities.

Five strategic IoT capabilities were identified: digital business model development, scalable solution platform building, value selling, value delivery and business intelligence and measurement.

The main limitations are related to the qualitative research method applied. The results are applicable mainly to relatively large and global manufacturers.

Managers responsible for solution business development can apply the developed model to acquire and manage IoT specific resources, processes and capabilities.

Existing studies have not addressed the IoT-specific resources, processes and capabilities that manufacturers’ possess. This is one of the first studies to conceptualize how these capabilities are used.

This study aims to present an integrated framework and investigate the enabling roles of governance mechanisms (i.e. contract, interdependence, trust and communication) in the choice of effective conflict resolution strategies (CRS) that in turn facilitate buyer–supplier relationship (BSR) performance.

Using Web-survey, data are collected from 170 Finnish small- and medium-sized enterprises that have key relationships with suppliers. This study uses structural equation modeling to test the research framework and hypotheses of the study.

The results based on empirical evidence demonstrate how the firms’ choice of CRS depends on the governance mechanisms. The problem solving approach is the most preferable choice, while the legalistic approach remains the last resort influenced by different governance mechanisms. Interdependence and trust between firms drive them to compromise while resolving inter-organizational conflicts. The selected strategies by firms may also either reinforce or deteriorate relationship performance.

Supply chain managers should recognize the context in which these choices of CRS are made, as it guides them to anticipate their partner’s behavior as well as influences their strategy choice decisions when coping with conflicts. A trustworthy environment supports in providing a certain level of confidence while interdependency drives firms to compromise. The legalistic strategy can hurt the partner’s feelings and diminish relationship performance.

Conflicts in BSR have become inevitable, but the existing literature is missing evidence on how companies use CRS to enhance relationship performance. Hence, this study differs from those of earlier conflict studies, as it provides a more integrative perspective of buyer–supplier conflict resolution process. This study argues that relationship governance mechanisms can be connected to the choice of effective CRS when tensions arise. Moreover, by assessing the relationship between CRS and relationship performance, this study offers valuable insights to understand that effective strategies enable partners to mutually adapt constructive approaches that facilitate cooperative behavior and accommodate both parties’ interests and needs.

The business intelligence (BI) literature is in a flux, yet the knowledge about its varying theoretical roots remains elusive. This state of affairs draws from two different scientific communities (informatics and business) that have generated multiple research streams, which duplicate research, neglect each other’s contributions and overlook important research gaps. In response, the authors structure the BI scientific landscape and map its evolution to offer scholars a clear view of where research on BI stands and the way forward. For this endeavor, the authors systematically review articles published in top-tier ABS journals and identify 120 articles covering 35 years of scientific research on BI. The authors then run a co-citation analysis of selected articles and their reference lists. This yields the structuring of BI scholarly community around six research clusters: environmental scanning (ES), competitive intelligence (CI), market intelligence (MI), decision support (DS), analytical technologies (AT) and analytical capabilities (AC). The co-citation network exposed overlapping and divergent theoretical roots across the six clusters and permitted mapping the evolution of BI research following two pendulum swings. This study aims to contribute by structuring the theoretical landscape of BI research, deciphering the theoretical roots of BI literature, mapping the evolution of BI scholarly community and suggesting an agenda for future research.

This paper follows a systematic methodology to isolate peer-reviewed papers on BI published in top-tier ABS journals.

The authors present the structuring of BI scholarly community around six research clusters: ES, CI, MI, DS, AT and AC. The authors also expose overlapping and divergent theoretical roots across the six clusters and map the evolution of BI following two pendulum swings. In light of the structure and evolution of the BI research, the authors offer a future research agenda for BI research.

This study contributes by elucidating the theoretical underpinnings of the BI literature and shedding light upon the evolution, the contributions, and the research gaps for each of the six clusters composing the BI body of knowledge.