Service innovation enabled by Internet of Things and cloud computing – a service-dominant logic perspective

Nittala, Sreenivasa S. Sharma; Bharadwaj, Sangeeta Shah; Tripathi, Shiv S.; Seif, Heiko

doi:10.1080/09537325.2021.1903417

Cited by 17 publications

(17 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this way, through the implementation of Digital Enabler Technologies, traditional processes are undermined which, for example, in maintenance are limited to a reactive service or a schedule of standardized periodic interventions (Favoretto et al ., 2022; Ng and Wakenshaw, 2017). It is manufacturers themselves who, within servitization strategies, adopt condition monitoring actions about the conditions of the machinery or the whole system, in order to apply Predictive Maintenance that allows the operator to constantly monitor systems and processes and intervene in real-time in case of malfunctions (Nittala et al ., 2021).…”

Section: Setting the Research Avenues Through A Qualitative Analysismentioning

confidence: 99%

Industry 4.0 base technologies and business models: a bibliometric analysis

Ferrigno,

Del Sarto,

Piccaluga

et al. 2023

EJIM

View full text Add to dashboard Cite

PurposeThe objective of this study is to examine current business and management research on “Industry 4.0 base technologies” and “business models” to shed light on this vast literature and to point out future research agenda.Design/methodology/approachThe authors conducted a bibliometric analysis of scientific publications based on 482 documents collected from the Scopus database and a co-citation analysis to provide an overview of business model studies related to Industry 4.0 base technologies. After that a qualitative analysis of the articles was also conducted to identify research trends and trajectories.FindingsThe results reveal the existence of five research themes: smart products (cluster 1); business model innovation (cluster 2); technological platforms (cluster 3); value creation and appropriation (cluster 4); and digital business models (cluster 5). A qualitative analysis of the articles was also conducted to identify research trends and trajectories.Research limitations/implicationsFirst, the dataset was collected through Scopus. The authors are aware that other databases, such as Web of Science, can be used to deepen the focus of quantitative bibliometric analysis. Second, the authors based this analysis on the Industry 4.0 base technologies identified by Frank et al. (2019). The authors recognize that Industry 4.0 comprises other technologies beyond IoT, cloud computing, big data and analytics.Practical implicationsDrawing on these analyses, the authors submit a useful baseline for developing Industry 4.0 base technologies and considering their implications for business models.Originality/valueIn this paper, the authors focus their attention on the relationship between technologies underlying the fourth industrial revolution, identified by Frank et al. (2019), and the business model, with a particular focus on the developments that have occurred over the last decade and the authors performed a bibliometric analysis to consider all the burgeoning literature on the topic.

show abstract

Section: Setting the Research Avenues Through A Qualitative Analysismentioning

confidence: 99%

Industry 4.0 base technologies and business models: a bibliometric analysis

Ferrigno,

Del Sarto,

Piccaluga

et al. 2023

EJIM

View full text Add to dashboard Cite

show abstract

“…SI capabilities management should emphasise this distinction. The service-dominant view synthesises SI capabilities with services and physical items (Sreenivasa et al. , 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Does emotional intelligence impact service innovation capabilities? Exploring the role of diversity climate and innovation culture

Jegerson,

Jabeen,

Abdulla

et al. 2023

JIC

View full text Add to dashboard Cite

PurposeThe study examines the impact of emotional intelligence on service innovation capabilities. Furthermore, it explored the mediating role of diversity climate and the moderating role of innovation culture.Design/methodology/approachAn online questionnaire helped to collect data from 257 public sector employees in the United Arab Emirates (UAE). The proposed hypotheses were analysed using structural equation modelling.FindingsBuilding on the ability model, the study found that employees' emotional intelligence has a positive impact on diversity climate; that diversity climate does not mediate the relationship between emotional intelligence and service innovation capabilities and that innovation culture has a moderating effect between diversity climate and service innovation capabilities.Originality/valueThe paper clarifies the emotional intelligence of the workforce and its ability to influence innovation culture and diversity climate in public organisations, ultimately benefiting service innovation capability research. As such, the study contributes to the literature by proposing and analysing some antecedents of service innovation capabilities in the context of public organisations. The study also offers policymakers information on what prevents innovation, which they can use to raise the bar on service quality requirements in the public sector.

show abstract

“…Implying these capabilities are present in most service orientated IoT platforms. Previous research has emphasized the creation of services (Nittala et al, 2021) but application provision capability at operational level has gained less attention.…”

Section: Security Provisionmentioning

confidence: 99%

“…It is essential to identify the fundamental change in capabilities in industries not fully leveraging IoT (Hasselblatt et al, 2018). Recent research identifies capabilities, including digitalization, service creation or maintenance (Ingemarsdotter, Jamsin, and Balkenende, 2020;Kohtamäki et al, 2020;Nittala et al, 2021) but the overall view is still fragmented. It also identifies IoT-PSS cases but has not shown the most typical combinations of capabilities and business models.…”

Section: Introductionmentioning

confidence: 99%

Capabilities for the internet of things enabled product-service system business models

Karttunen

Pynnönen

Treves

et al. 2021

Technology Analysis & Strategic Management

View full text Add to dashboard Cite

The Internet of things (IoT) transforms how businesses operate, create, and deliver products and services. Despite increasing interest in IoT business models, knowledge of the capabilities needed to implement them remains vague. The objective of this paper is to investigate patterns found in 21 empirical tested cases covering several industries. This paper identifies the most common capabilities (connectivity, data management and storage, monitoring, data analytics, control, operations management, maintenance, communication, applications, and security) in an IoT-Product Service System (PSS). Industry practitioners can use this information to visualize linkages between their intended business model and capabilities when developing IoT-PSSs.

show abstract

Service innovation enabled by Internet of Things and cloud computing – a service-dominant logic perspective

Cited by 17 publications

References 57 publications

Industry 4.0 base technologies and business models: a bibliometric analysis

Industry 4.0 base technologies and business models: a bibliometric analysis

Does emotional intelligence impact service innovation capabilities? Exploring the role of diversity climate and innovation culture

Capabilities for the internet of things enabled product-service system business models

Contact Info

Product

Resources

About