A.A. (Alex) Alblas

A.A. (Alex) Alblas

Technische Universiteit Eindhoven

H-index: 11

Europe-Netherlands

About A.A. (Alex) Alblas

A.A. (Alex) Alblas, With an exceptional h-index of 11 and a recent h-index of 8 (since 2020), a distinguished researcher at Technische Universiteit Eindhoven, specializes in the field of Innovatie management, new product development, operations, technology management.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cross-Site and Cross-Generation Knowledge Transfer in High-Tech After-Sales Service

Pushing forward the transition to a circular economy by adopting an actor engagement lens

Development Of A Virtual Experiment To Validate The Relationship Between Engineering Changes And Learning Curves Using Design Structure Matrices

Circular economy engagement: practices for boosting motivation, opportunity, and ability

Collaborative innovation in a military organization: The importance of transactive memory, knowledge sharing, and learning from failure

Actor Engagement in the Circular Economy: A Motivation-Opportunity-Ability (MOA) Perspective

How structural empowerment boosts organizational resilience: A case study in the Dutch home care industry

Utilizing product design complexity to predict production cycle time learning curves

A.A. (Alex) Alblas Information

University

Technische Universiteit Eindhoven

Position

___

Citations(all)

459

Citations(since 2020)

222

Cited By

303

hIndex(all)

11

hIndex(since 2020)

8

i10Index(all)

13

i10Index(since 2020)

6

Email

University Profile Page

Technische Universiteit Eindhoven

A.A. (Alex) Alblas Skills & Research Interests

Innovatie management

new product development

operations

technology management

Top articles of A.A. (Alex) Alblas

Cross-Site and Cross-Generation Knowledge Transfer in High-Tech After-Sales Service

Authors

Fêdde S Zijlstra,Alex A Alblas,Fred Langerak

Journal

Service Science

Published Date

2024/3/12

Learning and knowledge transfer are crucial to organizational success. Knowledge can transfer between sites and generations, yet prior research has studied both types of knowledge transfer in isolation. Understanding their combined effect is essential because many manufacturing and service organizations have multiple sites and generations. In contrast to prior research, we study both types of knowledge transfer simultaneously in a high-tech after-sales service organization. In doing so, we provide new insights into the learning processes of high-tech firms providing global after-service. We leverage 10 years of weekly observations of after-sales service experience and performance of a firm in the semiconductor industry to test learning curve models with cross-site and cross-generation knowledge transfer and temporal distance between generations. Our empirical model tests the impact of these different …

Pushing forward the transition to a circular economy by adopting an actor engagement lens

Authors

Katrien Verleye,Arne De Keyser,Néomie Raassens,Alex A Alblas,Fernando C Lit,Josephina CCM Huijben

Journal

Journal of Service Research

Published Date

2024/2

Circular business models (CBMs), such as product-service systems, are rapidly gaining traction in light of a transition to a more circular and sustainable economy. The authors call for a new approach to inform and guide the development and adoption of these CBMs. The main reason is that different actors in the service ecosystems or networks linked to these business models—such as firms, customers, and governmental bodies—may be reluctant to join or even impede the transition to a circular economy. Based upon an abductive analysis of 133 CBM papers with the Motivation-Opportunity-Ability (MOA) framework as organizing structure, the authors theorize about how to achieve “circular economy engagement” (i.e., an actor’s disposition to embrace CBMs). Specifically, they highlight and illustrate the role of (1) signaling and convincing as motivation-related practices, (2) matching and legitimizing as opportunity …

Development Of A Virtual Experiment To Validate The Relationship Between Engineering Changes And Learning Curves Using Design Structure Matrices

Authors

Cas MG Verstappen,Alex Alblas,Pascal Etman

Journal

DS 126: Proceedings of the 25th International DSM Conference (DSM 2023), Gothenburg, Sweden, October, 03-05, 2023

Published Date

2023

The increased demand for high-performing engineered products pushes manufacturing firms to introduce novel and more complex products at an ever-faster pace. This invokes major engineering changes in these firms. The resulting disruptions to manufacturing performance and efficiency losses are poorly understood. This paper proposes a virtual experiment that validates the relationship between engineering changes and the manufacturing cycle time learning curve. Product complexity and product commonality are identified as parameters of engineering changes that affect the learning curve. These parameters are quantified using design structure matrix methods. The effects of product complexity and commonality on the manufacturing learning curve are tested using an experiment. The results of this study can be used by management professionals to mitigate risks and improve resource allocation after engineering changes.

Circular economy engagement: practices for boosting motivation, opportunity, and ability

Authors

Katrien Verleye,Arne De Keyser,Néomie Raassens,Alex A Alblas,Fernando Lit,JCCM Huijben

Published Date

2023/6/20

Circular business models (CBMs) balance economic, social, and environmental value creation, capture, and delivery. They incorporate strategies to slow down, narrow, or close resource loops in opposition to the current linear ‘take-make-waste’model of production and consumption, thereby advancing the transition to a more circular and sustainable economy. This transition, however, is not easy and involves great uncertainty–not in the least because these business models involve a multitude of actors in networks and ecosystems who may be reluctant to participate in or who might even obstruct the circular transition. In this paper, we call for a new approach to inform and guide the development and adoption of these CBMs, specifically through boosting “circular economy engagement”(ie, an actor’s disposition to embrace CBMs). We conduct a systematic literature review of 133 CBM papers using the Motivation-Opportunity-Ability (MOA) framework as an organizing structure in order to uncover the conditions under which different actors–firms, customers, and governmental bodies–engage in the circular economy. From there, we propose a conceptual framework illustrating how motivation-related, opportunity-related, and ability-related practices are able to boost actors’ circular economy engagement. Specifically, we highlight and illustrate the role of (1) signaling and convincing as motivation-related practices,(2) matching and legitimizing as opportunity-related practices, and (3) supporting and empowering as ability-related practices. Finally, we discuss several theoretical and practical implications connected to this framework and identify several …

Collaborative innovation in a military organization: The importance of transactive memory, knowledge sharing, and learning from failure

Authors

Mysha AS van Lamoen,Myriam Cloodt,Alex A Alblas

Journal

IEEE Transactions on Engineering Management

Published Date

2023/5/12

For addressing grand challenges, in recent decades, we have seen a growing focus on collaborative innovation in the public sector. However, despite important work, current research is paying relatively little attention to what facets of collaborative innovation are relevant and how they enhance the required innovative performance. To face the grand challenge of public safety, international military organizations, such as the North Atlantic Treaty Organization (NATO), need to pursue a collaborative innovation process. In this study, we open up the black box of collaborative innovation by unraveling three critical mechanisms that improve a public organization's innovation performance. Our specific aim was to unfold the ways that Transactive Memory (i.e., knowing who knows what), Knowledge Sharing, and Learning From Failure affect innovation performance. We do this by examining 166 responses from multiple …

Actor Engagement in the Circular Economy: A Motivation-Opportunity-Ability (MOA) Perspective

Authors

Katrien Verleye,Arne De Keyser,Néomie Raassens,Alex Alblas,Fernando Lit,Josephina Huijben

Published Date

2023

Product-service systems in manufacturing (e.g., Signify’s circular lightning service), rental services in the fashion industry (e.g., Rent the Runway platform), and sharing platforms in the equipment industry (e.g., Peerby) – all of these represent circular business models (CBMs). CBMs are rapidly gaining traction in light of a transition to a more circular and sustainable economy, but different actors in the service ecosystems or networks linked to these business models – such as firms, customers, and governmental bodies – may be reluctant to join or even impede the transition to a circular economy. Based upon an abductive analysis of 133 CBM papers with Motivation-Opportunity-Ability (MOA) framework as organizing structure in combination with 12 illustrative cases, we theorize about how to achieve “circular economy engagement” (i.e., an actor’s disposition to embrace CBMs). Specifically, we highlight and illustrate the role of three types of practices: Motivation-related practices: To motivate a focal actor to embrace CBMs, our research uncovers the importance of two motivation-related practices in which other actors in the ecosystem can engage: (1) signaling – that is, highlighting potential benefits of engaging with CBMs to focal actors (here, environmental/societal and economic benefits) and (2) convincing – that is, persuading focal actors that risks that come along with CBMs can be circumvented (here, financial and pragmatic risks). Opportunity-related practices: Motivation to engage in the transition to a circular economy, however, is not sufficient and is necessarily complemented with opportunities that allow focal actors to engage. Our research …

How structural empowerment boosts organizational resilience: A case study in the Dutch home care industry

Authors

Jennifer van den Berg,Alex Alblas,Pascale Le Blanc,A Georges L Romme

Journal

Organization Studies

Published Date

2022/9

Previous work has demonstrated that structural forms of empowerment tend to enhance individual and team resilience. However, there is hardly any knowledge about how structural empowerment affects organizational resilience. Moreover, a widespread (though largely untested) assumption is that, in adverse times, power and authority need to be centralized at the top to enhance organizational resilience. This paper explores the effects of empowerment on organizational resilience in an in-depth case study of a Dutch home care organization, in which employees are structurally empowered. The findings from this case study suggest that structural empowerment positively affects organizational resilience, but that this effect is contingent upon a climate of psychological safety as well as top management’s sustained commitment to structural empowerment. We move beyond the extant conceptualization of …

Utilizing product design complexity to predict production cycle time learning curves

Authors

Alex A Alblas,T Dooper,LFP Etman

Published Date

2022/7/1

Predicting learning curves can give organizations a competitive advantage. This study synthesizes learning curve and design structure matrix (DSM) methodologies to quantify product change and complexity in order to estimate the performance of future generations of products. Based on a small-scale experiment and in-depth case studies, we propose a model that forecasts the disruption and subsequent improvement in manufacturing cycle time due to changes in a product. The study contributes to research on how technological complexity impacts organizational learning curves.

2022 Index IEEE Transactions on Engineering Management Vol. 69

Authors

A Abbasi,R Abdalkareem,A Abdullah,K Abhari,S Abootalebi,E Acuner,B Adams,K Adams,YCE Adja,A Aghalari,AM Agogino,SM Agren,BNK Ahia,M Ahmadi,J Ahn,MN Aladwan,S Alawadi,M Alazab,V Albino,A Alblas,J Alegre,F Allahi,RA Allen,R Alonderiene,J Altmann,S Altuntas,J Amankwah-Amoah,DC Amaral,L Amaral,S Amirghodsi,P Amorim,M Amorim-Lopes,C Amrit,SA Anafo,F Andresen,MC Annosi,J Antony,G Appiah,MM Appleyard,B Archimede,L Ardito,J Arias-Perez,L Aristodemou,J Arsenyan,N Ashill,AS Asl,R Attah-Boakye,M Attari-Shendi,DB Audretsch,FM Awaysheh,SA Ayyash,S Azimi,M Bagherzadeh,RB Bagno

Journal

IEEE Transactions on Engineering Management

Published Date

2022/12

Presents the 2022 author/subject index for this issue of the publication.

Multi-actor engagement in circular business model innovation

Authors

Katrien Verleye,Néomie Raassens,Fernando Lit,Boukje Huijben,Arne De Keyser,Alex Alblas

Published Date

2022

Researchers, practitioners, and policymakers increasingly engage in transforming existing business models into circular ones that are oriented towards slowing down, narrowing, or closing resource loops and hence reducing the burden on limited natural resources. Against this background, the present research investigates ways to boost actor engagement in circular business model innovation (CBMI). Building on a systematic literature review, we outline four turning points when it relates to engaging actors in CBMI: (1) does the focal actor see the benefits of engaging in CBMI? - cf. expected returns, (2) is the focal actor able to engage in CBMI? – cf. resources, (3) do other actors in their ecosystem show engagement towards CBMI? – cf. institutions, and (4) do other actors in their ecosystem help them to put CBMI into practice? – cf. interactions. Based upon these turning points, we propose different engagement-enhancing strategies for CBMI and elaborate on their implications for researchers, practitioners, and policymakers.

Designing for resilience: How Dutch maternity care collaborations anticipate, adapt, and thrive during a pandemic

Authors

Jennifer van den Berg,Alex A Alblas,Pascale M Le Blanc,A Georges L Romme

Journal

Administrative Sciences

Published Date

2022/11/16

The success factors and challenges of interorganizational collaboration have been widely studied from different disciplinary perspectives. However, the role of design in making such collaborations resilient has received little attention, although deliberately designing for resilience is likely to be vital to the success of any interorganizational collaboration. This study explores the resilience of interorganizational collaboration by means of a comparative case study of Dutch maternity care providers, which have been facing major challenges due to financial cutbacks, government-enforced collaborative structures, and the recent COVID-19 pandemic. Our findings make two contributions to the literature. First, we further develop the construct of interorganizational resilience. Second, we shed light on how well-designed distributed decision-making enhances resilience, thereby making a first attempt at meeting the challenge of designing for interorganizational resilience.

Quantifying the impact of product changes on manufacturing performance

Authors

Tjomme Dooper,Pascal Etman,Alex Alblas

Journal

DS 121: Proceedings of the 24th International DSM Conference (DSM 2022), Eindhoven, The Netherlands, October, 11-13, 2022

Published Date

2022

Every adjustment to a physical product disrupts the manufacturing organization, requiring adaptation in tools and processes. The resulting disruption to manufacturing performance is poorly understood. We use design structure matrices and a complexity metric to quantify the complexity and change of product architecture in an explorative, small-scale experiment. Based on the results we develop two propositions to guide further research into the factors that affect the shape of consecutive learning curves upon product changes. The first proposition is that after product change, the complexity of the novel part of product architecture is responsible for the initial decrease in manufacturing performance. Second, we propose that the asymptote of a learning curve and the complexity of a product’s architecture are inversely related.

Quantifying the Impact of Product Changes on Organizational Performance

Authors

T Dooper,LFP Pascal Etman,Alex A Alblas

Published Date

2022/10/11

Every adjustment to a physical product disrupts the manufacturing organization, requiring adaptation in tools and processes. The resulting disruption to manufacturing performance is poorly understood. We use design structure matrices and a complexity metric to quantify the complexity of several portions of product architecture in an explorative, small-scale experiment. Based on the results we propose that, after product change, the complexity of the novel part of product architecture is responsible for the initial decrease in manufacturing performance. Second, we propose that the asymptote of a learning curve and the complexity of a product’s architecture are inversely related. These two propositions are integrated into a framework to guide further research into the factors that affect the shape of consecutive learning curves upon product changes.

Measuring Circularity: The Gordian Knot of the 21st Century

Authors

Arjen Wierikx,Pascal Ravesteijn,Néomie Raassens,Alex Alblas

Journal

Communications of the IIMA

Published Date

2022

Organizations are currently facing substantial challenges regarding becoming circular by 2050–also referred to as Circular Economy (CE). Subsequently, increasing complexity on all organizational levels creates uncertainty about respective organizational and technological capabilities and adequate strategies to develop these capabilities. Organizations are struggling in picking up the CE ambitions and answering the what’s in it for me question. Scholars are developing models and frameworks to enable organizations to measure CE performance. Over 125 assessment methods are available for micro level assessment–measuring up to 365 different metrics. Moreover, extant literature is available presenting barriers and opportunities for CE transformation focusing on industry, sector, region, etc. And, although a more holistic perspective is required to become circular mature, this is currently lacking. In this paper we present a multi-methodology view on approaches and how they are used (or not). Our main goal is to extend the existing body of knowledge with an eye on applicability and research directions to untie the Gordian knot of measuring circularity.

Globally distributed technology projects thrive on experience working together apart: Impacts of team balance, task balance, and task heterogeneity

Authors

Alex Alblas

Journal

Journal of Operations Management

Published Date

2022/9

Enabling shared experiences could be key to managing technology projects successfully. The advantages gained from the experience of working together can be complemented, but also offset, by common aspects of technology projects—like the dispersion of team members and the integration of heterogeneous tasks across global sites. This study develops and tests a conceptual framework that scrutinizes the impact of team familiarity and task allocation challenges. It identifies three elements of task allocation in technology projects that affect the familiarization process: (i) team (im)balance, (ii) task (im)balance, and (iii) task heterogeneity. An examination of 27,948 software tasks in six projects involving teams working apart on heterogeneous and dispersed tasks in the Netherlands and India shows that the experience of working together apart reduces the average cost of software tasks. This positive effect is …

Speed is significant in short‐loop experimental learning: Iterating and debugging in high‐tech product innovation

Authors

Alex Alblas,Miel Notten

Journal

Decision Sciences

Published Date

2021/12

Digital technology is fundamental to experimentation, learning, and the rate of innovation. Digital technology facilitates the rapid distribution of experimental design and debug information. However, we should consider how this fundamentally changes organizational learning and experimentation when managing the rate of product innovation. We address this issue by investigating what drives experimentation‐based learning in high‐tech product innovation and production. The longitudinal dataset in our study consists of 216 projects over a period of almost 5 years, involving thousands of digitally recorded design iterations and design debugs. Based on a time series linear regression analysis, we demonstrate that learning from an accumulation of completed projects drives learning in experimentation more than failure experience in successfully completed design debugs. Furthermore, we show that processing …

Marketing involvement in product platform creation: The role of personal and structural coordination mechanisms

Authors

Ties Van Bommel,Edwin J Nijssen,Alex A Alblas

Journal

Creativity and Innovation Management

Published Date

2021/6

Integrating market knowledge in the architecture of product platforms can be a challenge for firms. In this study, we draw on knowledge‐based theory to propose the importance of bilateral knowledge: a marketer's knowledge of product platforms and a platform architect's knowledge of the market opportunity for securing marketing involvement and platform success. Along with these two personal coordination mechanisms, we examine the impact of a marketing department's level of product platform knowledge as a structural coordination mechanism and account for its moderating effects on these personal mechanisms. To test our model, we conducted a survey at a multinational electronics company, with the architects of product platforms as key informants. Our results show that an architect's knowledge of market opportunities for the product platform fuels marketing's involvement and improves financial performance …

Tailoring the Engineering Design Process Through Data and Process Mining

Authors

Alex A Alblas,Laura Maruster

Journal

IEEE Transactions on Engineering Management

Published Date

2020/7/10

Engineering changes (ECs) are new product development activities addressing external or internal challenges, such as market demand, governmental regulations, and competitive reasons. The corresponding EC processes, although perceived as standard, can be very complex and inefficient. There seem to be significant differences between what is the “officially” documented and the executed process. To better understand this complexity, we propose a data-driven approach, based on advanced text analytics and process and data mining techniques. Our approach sets the first steps toward an automatic analysis, extracting detailed events from an unstructured event log, which is necessary for an in-depth understanding of the EC process. The results show that the predictive accuracy associated with certain EC types is high, which assures the method applicability. The contribution of this article is threefold: 1) a detailed model representation of the actual EC process is developed, revealing problematic process steps (such as bottleneck departments); 2) homogeneous, complexity-based EC types are determined (ranging from “standard” to “complex” processes); and 3) process characteristics serving as predictors for EC types are identified (eg, the sequence of initial process steps determines a “complex” process). The proposed approach facilitates process and product innovation, and efficient design process management in future projects.

See List of Professors in A.A. (Alex) Alblas University(Technische Universiteit Eindhoven)

A.A. (Alex) Alblas FAQs

What is A.A. (Alex) Alblas's h-index at Technische Universiteit Eindhoven?

The h-index of A.A. (Alex) Alblas has been 8 since 2020 and 11 in total.

What are A.A. (Alex) Alblas's top articles?

The articles with the titles of

Cross-Site and Cross-Generation Knowledge Transfer in High-Tech After-Sales Service

Pushing forward the transition to a circular economy by adopting an actor engagement lens

Development Of A Virtual Experiment To Validate The Relationship Between Engineering Changes And Learning Curves Using Design Structure Matrices

Circular economy engagement: practices for boosting motivation, opportunity, and ability

Collaborative innovation in a military organization: The importance of transactive memory, knowledge sharing, and learning from failure

Actor Engagement in the Circular Economy: A Motivation-Opportunity-Ability (MOA) Perspective

How structural empowerment boosts organizational resilience: A case study in the Dutch home care industry

Utilizing product design complexity to predict production cycle time learning curves

...

are the top articles of A.A. (Alex) Alblas at Technische Universiteit Eindhoven.

What are A.A. (Alex) Alblas's research interests?

The research interests of A.A. (Alex) Alblas are: Innovatie management, new product development, operations, technology management

What is A.A. (Alex) Alblas's total number of citations?

A.A. (Alex) Alblas has 459 citations in total.

What are the co-authors of A.A. (Alex) Alblas?

The co-authors of A.A. (Alex) Alblas are Linda L. Zhang, Fred Langerak, Jasper Veldman, Paul Buijs.

    Co-Authors

    H-index: 50
    Linda L. Zhang

    Linda L. Zhang

    IÉSEG School of Management

    H-index: 40
    Fred Langerak

    Fred Langerak

    Technische Universiteit Eindhoven

    H-index: 23
    Jasper Veldman

    Jasper Veldman

    Rijksuniversiteit Groningen

    H-index: 12
    Paul Buijs

    Paul Buijs

    Rijksuniversiteit Groningen

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