[work] Perustieteiden korkeakoulu / SCI

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    Sustainable Development Goal Targets as Startup Business Opportunities
    (Aalto University, 2024) Järvilehto, Lauri; Tuotantotalouden laitos; Department of Industrial Engineering and Management; Perustieteiden korkeakoulu; School of Science
    The purpose of this paper is to explore the viability of the United Nations Sustainable Development Goal targets as business opportunities for startups. The SDGs are split into 169 specific targets that, if successfully reached, will have significant impact on the most pressing social and ecological global challenges. A startup is a subtype of an entrepreneurial venture that aims to generate exponential growth through fast and iterative innovation. A startup is typically run by a data-driven process consisting of a series of experiments whose purpose is to solve a problem in a way that can service a scalable market. Drawing from theoretical work on sustainable entrepreneurship, stakeholder theory and the Lean Startup theory and methodology, I argue that startups are ideal organizations to solve SDGrelated problems. If the transactions that generate the startups’ revenue are based on solving an actual problem connected to an SDG target, its impact and business become identical. Given the exponential business potential of startups, identifying business opportunities within the scope of SDG targets will also lead to exponential impact. Startups can play a central role in solving some of the most pressing problems for humanity while generating significant financial value.
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    Agile planning: Avoiding disaster in the grocery supply chain during COVID-19 crisis
    (Aalto University, 2020) Saarinen, Lauri; Loikkanen, Lauri; Tanskanen, Kari; Kaipia, Riikka; Takkunen, Susanna; Holmström, Jan; Tuotantotalouden laitos; Department of Industrial Engineering and Management; Perustieteiden korkeakoulu; School of Science
    The COVID-19 crisis heavily tested grocery supply chains and supply chain management capabilities. Swift response practices proved to be more valuable than ever before, as the grocery retailers faced sudden, unanticipated, and simultaneous shocks both on the demand and on the supply side. At the same time, the virus posed a threat to manufacturers' production capacities, and new bottlenecks emerged for logistics service providers as consumers switched to on-line shopping and home delivery. For many food wholesalers and distributors demand also changed almost overnight from one delivery channel to another: not only from retail stores to online channels, but also from food services (restaurants) to grocery stores. In these circumstances, maintaining good delivery capacity and ensuring availability to the end customers called for fast operational changes of individual firms and coordinated adaptations of supply chain practices. Despite the challenges, many supply chains coped surprisingly well with the shocks and were able to keep-up good performance through the crisis. We conducted a real-time study as the COVID-19 crisis was unfolding, from the beginning of the first government issued restrictions, and all the while the pandemic was gaining speed. This setting allowed us to gain first-hand insights from interviewees considering their responses at different times and in different echelons of the grocery supply chain.
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    Data supplement to the research article Lahti, Lauri, Tenhunen, Henni, & Nieminen, Marko, "How patients talk about care? Identifying patient experience expressions from online discussions"
    (Aalto University, 2018) Lahti, Lauri; Tehnunen, Henni; Nieminen, Marko; Tietotekniikan laitos; Department of Computer Science; Tuotantotalouden laitos; Department of Industrial Engineering and Management; Perustieteiden korkeakoulu; School of Science
    This is a data supplement to the following research article: Lahti, Lauri, Tenhunen, Henni, & Nieminen, Marko (2018). How patients talk about care? Identifying patient experience expressions from online discussions. Accepted to appear as a research paper in the Proceedings of Medical Informatics Europe (MIE 2018), 24-26 April 2018, Gothenburg, Sweden, hosted by the Swedish Association of Medical Informatics (SFMI) and the European Federation for Medical Informatics (EFMI), https://mie2018.org
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    Estimating Formative Measurement Models in IS Research – Analysis of the Past and Recommendations for the Future
    (Aalto University, 2016) Rönkkö, Mikko; Evermann, Joerg; Aguirre-Urreta, Miguel I.; Tuotantotalouden laitos; Department of Industrial Engineering and Management; Perustieteiden korkeakoulu; School of Science
    While debates on the appropriateness of formative measurement within structural equation models continue, such models are frequently found in IS research. IS researchers faced with such a model must identify the best method to estimate the model parameters, and have at their disposal covariance-based structural equation modeling (CBSEM), Partial Least Squares path modeling (PLS), and regression with summed scales, among other techniques.While all these methods can estimate models with formatively-specified latent variables, IS researchers frequently cite the presence of formative measurement as the reason for choosing PLS for model estimation over alternatives. Intuitively, a composite-based method such as PLS would appear to have an advantage in this particular scenario. In fact, some PLS researchers argue that PLS should only be used for such models. However, there is a dearth of empirical studies showing whether such an advantage does indeed exist.In this research, we discuss the statistical problems posed by models that include formatively-specified latent variables, and present a large-scale simulation study to investigate the relative performance of different estimation methods when faced with formative measurement, using models from studies published in MIS Quarterly. Based on our simulation results, we present recommendations for IS researchers interested in the estimation of models that include formatively-specified latent variables.
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    Improvements to PLSc: Remaining problems and simple solutions
    (Aalto University, 2016) Rönkkö, Mikko; McIntosh, Cameron N.; Aguirre-Urreta, Miguel I.; Tuotantotalouden laitos; Department of Industrial Engineering and Management; Institute of Strategy and Venturing; Perustieteiden korkeakoulu; School of Science
    The recent article by Dijkstra and Henseler (2015b) presents a consistent partial least squares (PLSc) estimator that corrects for measurement error attenuation and provides evidence showing that, generally, PLSc performs comparably to a wide variety of more conventional estimators for structural equation models (SEM) with latent variables. However, PLSc does not adjust for other limitations of conventional PLS, namely: (1) bias in estimates of regression coefficients due to capitalization on chance; and (2) overestimation of composite reliability due to the proportionality relation between factor loadings and indicator weights. In this article, we illustrate these problems and then propose a simple solution: the use of unit-weighted composites, rather than those constructed from PLS results, combined with errors-in-variables regression (EIV) by using reliabilities obtained from factor analysis. Our simulations show that these two improvements perform as well as or better than PLSc. We also provide examples of how our proposed estimator can be easily implemented in various proprietary and open source software packages.
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    First and second manuscript version for doctoral dissertation
    (Aalto University, 2015) Lahti, Lauri; Tietotekniikan laitos; Department of Computer Science and Engineering; Perustieteiden korkeakoulu; School of Science
    This publication contains the first and the second manuscript version for LauriLahti’s doctoral dissertation in 2015 "Computer-assisted learning based on cumulative vocabularies, conceptual networks and Wikipedia linkage".
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    Supplement to doctoral dissertation "Computer-Assisted Learning Based on Cumulative Vocabularies, Conceptual Networks and Wikipedia Linkage"
    (Aalto University, 2015) Lahti, Lauri; Tietotekniikan laitos; Department of Computer Science and Engineering; Perustieteiden korkeakoulu; School of Science
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    Supplement to Lauri Lahti’s conference article "Educational framework for adoption of vocabulary based on Wikipedia linkage and spaced learning"
    (Aalto University, 2015) Lahti, Lauri; Tietotekniikan laitos; Department of Computer Science and Engineering; Perustieteiden korkeakoulu; School of Science
    A supplement to Lauri Lahti’s conference article in 2012 "Educational framework for adoption of vocabulary based on Wikipedia linkage and spaced learning" so that this supplement was referenced to by the original publication.
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    Supplement to Lauri Lahti’s conference article "Educational concept mapping method based on high-frequency words and Wikipedia linkage"
    (Aalto University, 2015) Lahti, Lauri; Tietotekniikan laitos; Department of Computer Science and Engineering; Perustieteiden korkeakoulu; School of Science
    A supplement to Lauri Lahti’s conference article in 2011 "Educational concept mapping method based on high-frequency words and Wikipedia linkage" so that this supplement was referenced to by the original publication.
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    Supplement to Lauri Lahti’s conference article "ConceptMapWiki – a collaborative framework for agglomerating pedagogical knowledge"
    (Aalto University, 2015) Lahti, Lauri; Tietotekniikan laitos; Department of Computer Science and Engineering; Perustieteiden korkeakoulu; School of Science
    A supplement to Lauri Lahti’s conference article in 2011 "ConceptMapWiki – a collaborative framework for agglomerating pedagogical knowledge" so that this supplement was referenced to by the original publication.
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    Supplement to Lauri Lahti’s conference article “Guided generation of pedagogical concept maps from the Wikipedia”
    (Aalto University, 2015) Lahti, Lauri; Tietotekniikan laitos; Department of Computer Science and Engineering; Perustieteiden korkeakoulu; School of Science
    A supplement to Lauri Lahti’s conference article in 2009 "Guided generation of pedagogicalconcept maps from the Wikipedia" so that this supplement was referenced to by the original publication.
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    Mountaineering – A Combinatory Approach for Identifying Lead Users and Other Rare Research Subjects
    (Aalto University, 2013) Mäkinen, Samuli; Helminen, Pia; Johnson, Mikael; Hyysalo, Sampsa; Juntunen, Jouni K.; Freeman, Stephanie; Tuotantotalouden laitos; Department of Industrial Engineering and Management; Perustieteiden korkeakoulu; School of Science
    User innovation is common in many domains, and has been found concentrated in few individuals, lead users. Particularly with regard to a given product or service development project, such rare research subjects can be difficult and resource intensive to identify. Several alternative methods are common in the lead-user identification process, but according to dominant practitioner experience, the searches tend not to follow just one of them, but rather are inclined to involve the integration of several methods. This integration of alternative search methods has not, however, been discussed properly to date. The present state of affairs can make the lead-user identification process appear either as simple recipe following or as a mysterious process. We argue for a realistic middle ground between these extreme depictions, and propose an integrative search strategy labeled “mountaineering” towards users with the sought-after characteristics, lead userness in case of lead users. Through four principal and two supportive cases of mountaineering search, we elaborate some of the alternatives and choices in moving from one search method to another as responses to contingencies in particular searches. This elaboration of actual search experiences complements established depictions of ideal search processes and analytical comparisons between particular search methods.
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    Theories of ICT system implementation and adoption : a critical review
    (Aalto University, 2011) Korpelainen, Eija; Tuotantotalouden laitos; Perustieteiden korkeakoulu