Managing and designing dyadic R&D collaboration

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Recongifuring assets for digital servitization : interplay and capability enhancing practices

This paper investigates how manufacturing companies reconfigure their assets in their digital servitization journey (transition from selling products to selling product-service-software offerings). By studying five leading manufacturers for a longer time-period (2010-2018), we found that depending on their previous role of being whether system sellers or system integrators, their capability development practices differed: system sellers used practices emphasizing control (e.g., insourcing, acquisitions) whereas system integrators stressed practices that enabled flexibility (e.g., outsourcing, alliances). Based on these findings, manufacturers should establish their vision as provider of smart, connected solutions, and develop associated capabilities and practices that support this vision achievement.©2022 The authors. Published by Universitat Politècnica de València. Please cite the original version: Huikkola, T., Kohtamäki, M. & Ylimäki, J. (2022). Recongifuring assets for digital servitization: interplay and capability enhancing practices. In: Tracey, B., Heinonen, K., Trull-Domínguez, O. & Peiró-Signes, Á. (eds.) Proceedings of the QUIS17 : The 17th International Research Symposium on Service Excellence in Management. València: Universitat Politècnica de València. http://dx.doi.org/10.4995/QUIS17.2022.15169fi=vertaisarvioitu|en=peerReviewed

Becoming a smart solution provider : Reconfiguring a product manufacturer's strategic capabilities and processes to facilitate business model innovation

The present study analyzes how a product manufacturer alters its strategic capabilities to become a smart solution provider by employing its dynamic capabilities. We scrutinize how a manufacturer facilitates strategic change by realigning its strategic capabilities and processes from a focus on technical product-development capabilities to product-service-software development capabilities, reconfiguring organizational routines focused on efficiency to routines focused on customer productivity, and shifting from a product logic to a service logic. By studying six leading manufacturing firms based on 86 manager interviews, the present study finds that strategic capabilities are renewed through dynamic capabilities, which involve a reconfiguration of strategic capabilities and processes. Furthermore, manufacturers need to consider the dynamic interplay between resource realignment modes (building digital capabilities, leveraging existing capabilities, accessing external capabilities, and releasing decaying capabilities), hence stressing their reinforcing mechanism to converge products, services, and software. For managers, our study highlights several strategic renewal practices designed to assist and benchmark how strategic capabilities are altered.© 2022 The Authors. Published by Elsevier Ltd under a Creative Commons license https://creativecommons.org/licenses/by/4.0/fi=vertaisarvioitu|en=peerReviewed

Asiakastyytyväisyyden ja asiakaskannattavuuden välinen suhde case-organisaatiossa

Tutkielmassa tarkastellaan asiakaskannattavuuden ja asiakastyytyväisyyden välistä suhdetta case-organisaatiossa. Tutkielmassa esitellään asiakaskannattavuusanalyysin ja asiakastyytyväisyyden teoriaa, sekä aiempia tutkimuksia asiakastyytyväisyyden ja kannattavuuden välisestä suhteesta. Monet aiemmat tutkimukset ovat osoittaneet, että asiakastyytyväisyyden ja kannattavuuden välillä vallitsee positiivinen riippuvuussuhde. Tutkielmassa testataan hypoteeseja, joissa oletetaan, että asiakaskannattavuuden ja asiakastyytyväisyyden välillä on yhteys case-organisaation asiakassuhteissa. Hypoteeseja testataan case-organisaation toteuttaman asiakastyytyväisyyskyselyn ja asiakaskannattavuusanalyysin tuloksia käsittelemällä. Aineistoa käsitellään Pearsonin-korrelaatiokertoimia ja niiden merkitsevyystasoja tulkitsemalla. Lisäksi hypoteeseja testataan tutkimalla onko asiakastyytyväisyyden perusteella jaettujen ryhmien välillä eroja asiakaskohtaisessa kannattavuudessa. Ryhmien välisten erojen tutkimiseen käytetään Mann-Whitneyn U-testiä. Tulokset eivät tukeneet hypoteeseja, eikä case-organisaation asiakassuhteissa löydetty yhteyttä asiakaskohtaisen kannattavuuden ja tyytyväisyyden väliltä. Tulosten tulkinnassa pitää kuitenkin olla varovainen sillä aineistoon kuului 31 case-organisaation asiakassuhdetta. Johtopäätöksissä todettiin asiakaskannattavuuden ja asiakastyytyväisyyden molempien olevan yrityksen pitkän aikavälin tuloksen ja asiakassuhteiden kehittämisen kannalta tärkeitä mittareita. Yritysten olisikin hyödyllistä käsitellä molempia mittareita yhdessä.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

Robust and practical depth map fusion for time-of-flight cameras

Abstract Fusion of overlapping depth maps is an important part in many 3D reconstruction pipelines. Ideally fusion produces an accurate and nonredundant point cloud robustly even from noisy and partially poorly registered depth maps. In this paper, we improve an existing fusion algorithm towards a more ideal solution. Our method builds a nonredundant point cloud from a sequence of depth maps so that the new measurements are either added to the existing point cloud if they are in an area which is not yet covered or used to refine the existing points. The method is robust to outliers and erroneous depth measurements as well as small depth map registration errors due to inaccurate camera poses. The results show that the method overcomes its predecessor both in accuracy and robustness

Accurate 3-D reconstruction with RGB-D cameras using depth map fusion and pose refinement

Abstract Depth map fusion is an essential part in both stereo and RGB-D based 3- D reconstruction pipelines. Whether produced with a passive stereo reconstruction or using an active depth sensor, such as Microsoft Kinect, the depth maps have noise and may have poor initial registration. In this paper, we introduce a method which is capable of handling outliers, and especially, even significant registration errors. The proposed method first fuses a sequence of depth maps into a single non-redundant point cloud so that the redundant points are merged together by giving more weight to more certain measurements. Then, the original depth maps are re-registered to the fused point cloud to refine the original camera extrinsic parameters. The fusion is then performed again with the refined extrinsic parameters. This procedure is repeated until the result is satisfying or no significant changes happen between iterations. The method is robust to outliers and erroneous depth measurements as well as even significant depth map registration errors due to inaccurate initial camera poses

Fast and accurate multi-view reconstruction by multi-stage prioritised matching

In this study, the authors propose a multi‐view stereo reconstruction method which creates a three‐dimensional point cloud of a scene from multiple calibrated images captured from different viewpoints. The method is based on a prioritised match expansion technique, which starts from a sparse set of seed points, and iteratively expands them into neighbouring areas by using multiple expansion stages. Each seed point represents a surface patch and has a position and a surface normal vector. The location and surface normal of the seeds are optimised using a homography‐based local image alignment. The propagation of seeds is performed in a prioritised order in which the most promising seeds are expanded first and removed from the list of seeds. The first expansion stage proceeds until the list of seeds is empty. In the following expansion stages, the current reconstruction may be further expanded by finding new seeds near the boundaries of the current reconstruction. The prioritised expansion strategy allows efficient generation of accurate point clouds and their experiments show its benefits compared with non‐prioritised expansion. In addition, a comparison to the widely used patch‐based multi‐view stereo software shows that their method is significantly faster and produces more accurate and complete reconstructions