A pricing model for Internet of Things-based fleet services to support equipment sales

Marttonen-Arola, Salla; Kärri, Timo; Sinkkonen, Tiina; Pirttilä, Miia

doi:10.1080/01605682.2018.1487815

Cited by 3 publications

(3 citation statements)

References 38 publications

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“…, 2020). Finally, a few articles use other approaches, such as modeling (Marttonen-Arola et al. , 2019), simulation (Ruutu et al.…”

Section: Structuring Dsi-related Research: Ontology Theory Context An...mentioning

confidence: 99%

“…, 2020). Few other studies focus on manufacturing, and they are found at the intersection of the service innovation and digital servitization clusters, mixing concepts and references from both research streams (Chester Goduscheit and Faullant, 2018; Marttonen-Arola et al. , 2019; Opazo-Basáez et al.…”

Section: Structuring Dsi-related Research: Ontology Theory Context An...mentioning

confidence: 99%

“…Some articles include multiple sectors, adding to the earlier list a wide range of sectors such as education and training, banking, insurance and finance, mobility services and postal services (Lehrer et al, 2018;Wang et al, 2022;Wiesb€ ock et al, 2020). Few other studies focus on manufacturing, and they are found at the intersection of the service innovation and digital servitization clusters, mixing concepts and references from both research streams (Chester Goduscheit and Faullant, 2018;Marttonen-Arola et al, 2019;Opazo-Bas aez et al, 2022a).…”

Section: Digital Service Innovationmentioning

confidence: 99%

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Digital service innovation (DSI): a multidisciplinary (re)view of its origins and progress using bibliometric and text mining methods

Rabetino,

Kohtamäki,

Huikkola

2023

JOSM

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PurposeThis paper studies the Digital Service Innovation (DSI) concept by systematically reviewing earlier studies from various scholarly communities. This study aims to recognize how recent advances in DSI literature from different research streams complement and can be incorporated into the growing digital servitization literature to define better and understand DSI.Design/methodology/approachAfter systematically identifying 123 relevant articles, this study employed complementary methods, such as author bibliographic coupling, linguistic text mining/textual analysis and qualitative content analyses.FindingsThis paper first maps the intellectual structure and boundaries of the DSI-related communities and qualitatively assesses their characteristics. These communities are (1) Innovation for digital servitization, (2) Service innovation in the digital age and (3) Adoption of novel e-services enabled by information system development. Next, the composition of the DSI concept is examined and depicted to comprehend the notion's critical dimensions. The findings discuss the range of theories and methods in the existing research, including antecedents, processes and outcomes of DSI.Originality/valueThis study reviews, extends the understanding of origins and critically evaluates DSI-related research. Moreover, the paper redefines and clarifies the structure and boundaries of the DSI-concept. In doing so, it elaborates on the substance of DSI and identifies the essential themes for its understanding and conceptualization. Thus, the study helps the future development of the concept and allows knowledge accumulation by bridging adjacent research communities. It helps researchers and managers navigate the foggy emerging research landscape.

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“…, 2020). Finally, a few articles use other approaches, such as modeling (Marttonen-Arola et al. , 2019), simulation (Ruutu et al.…”

Section: Structuring Dsi-related Research: Ontology Theory Context An...mentioning

confidence: 99%

Section: Structuring Dsi-related Research: Ontology Theory Context An...mentioning

confidence: 99%

Section: Digital Service Innovationmentioning

confidence: 99%

See 1 more Smart Citation

Digital service innovation (DSI): a multidisciplinary (re)view of its origins and progress using bibliometric and text mining methods

Rabetino,

Kohtamäki,

Huikkola

2023

JOSM

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Quality disclosure pattern options for competing refurbishers: blockchain vs online platform

Liu,

Li,

Zhang

et al. 2023

Ann Oper Res

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Revenue Management of Group Service Considering Different Quality Levels and Stochastic Customer Patience

Lin

Wang

2022

Service Science

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We consider a service that provides different quality levels to customers who are served in groups (referred to as “group service” (GS)). We consider stochastic customer patience and build a multitype service model to maximize service profit. First, we consider a fixed number of service personnel and decompose the model into several subproblems. We then transform the model into a service personnel allocation problem that can be efficiently solved. Furthermore, we use the water-filling theory, together with a dichotomy approach, to design the numerical algorithm to conduct a numerical test based on actual data. The main contributions of this study are as follows. First, we provide the service provider with a service capacity allocation mechanism that can determine the optimal choice of service quality levels, number of service groups of different quality levels, time length of the service registration period, and service prices. Second, we find that under scarce service capacity, the single-type service can be more profitable than the multitype service, and low-quality services have higher marginal profits than high-quality services. However, when service capacity increases to a certain level, the multitype service can be more profitable than the single-type service. Third, we construct a service capacity decision mechanism and demonstrate the influence of service quality on the total number of service personnel and service groups. The conclusions are potentially useful to GS service providers to effectively make better managerial decisions and improve service profits.

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A pricing model for Internet of Things-based fleet services to support equipment sales

Cited by 3 publications

References 38 publications

Digital service innovation (DSI): a multidisciplinary (re)view of its origins and progress using bibliometric and text mining methods

Digital service innovation (DSI): a multidisciplinary (re)view of its origins and progress using bibliometric and text mining methods

Quality disclosure pattern options for competing refurbishers: blockchain vs online platform

Revenue Management of Group Service Considering Different Quality Levels and Stochastic Customer Patience

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