Change search
Link to record
Permanent link

Direct link
BETA
Alternative names
Publications (10 of 145) Show all publications
Angelis, J. & Ribeiro da silva, E. (2019). Blockchain adoption: a value driver perspective. Business Horizons, 62(3), 307-314
Open this publication in new window or tab >>Blockchain adoption: a value driver perspective
2019 (English)In: Business Horizons, ISSN 0007-6813, E-ISSN 1873-6068, Vol. 62, no 3, p. 307-314Article, review/survey (Refereed) Published
Abstract [en]

The ongoing discussion regarding blockchain technologies is focused primarily on cryptocurrencies, but blockchain features and functionalities have developed beyond financial instruments. As the technologies provide new functionalities, the associated value proposition changes as well. This study explores the relationship between blockchain technologies and their underlying value drivers. Four identified distinct blockchain stages of increased maturity are analyzed and discussed. This covers the evolutionary technology types focused on transactions, smart contracts, decentralized applications, and the introduction of artificial intelligence supporting decentralized decision making. In addition, we address management issues around appropriate blockchain adoption using a blockchain value driver-focused framework that gives decision makers actionable questions and recommendations. We provide practitioners with a method for assessing suitable blockchain adoption that addresses the specific value creation associated with a given organizational strategy. For academics, we critically identify and assess the characteristics of the blockchain stages and their strategy implications and provide a structured approach conceptualizing blockchain technology evolution.

Keywords
Blockchain digital strategy
National Category
Engineering and Technology Economics and Business
Research subject
Industrial Economics and Management
Identifiers
urn:nbn:se:kth:diva-249111 (URN)10.1016/j.bushor.2018.12.001 (DOI)000468720200005 ()2-s2.0-85058997300 (Scopus ID)
Note

QC 20190520

Available from: 2019-04-10 Created: 2019-04-10 Last updated: 2019-06-11Bibliographically approved
Angelis, J., Beveridge, I. & Freeman, S. (2019). Drivers of Digital Trust in the Crypto Industry. In: Massimo Ragnedda, Giuseppe Destefanis (Ed.), Blockchain and Web 3.0: Social, Economic, and Technological Challenges. London: Routledge
Open this publication in new window or tab >>Drivers of Digital Trust in the Crypto Industry
2019 (English)In: Blockchain and Web 3.0: Social, Economic, and Technological Challenges / [ed] Massimo Ragnedda, Giuseppe Destefanis, London: Routledge, 2019Chapter in book (Refereed)
Place, publisher, year, edition, pages
London: Routledge, 2019
Keywords
Blockchain crypto Web 3.0
National Category
Engineering and Technology Economics and Business
Identifiers
urn:nbn:se:kth:diva-249124 (URN)9780367139841 (ISBN)
Note

QC 20190520

Available from: 2019-04-10 Created: 2019-04-10 Last updated: 2019-05-20Bibliographically approved
Riberio Da Silva, E. H., Angelis, J. & Pinheiro de Lima, E. (2019). In pursuit of Digital Manufacturing. Paper presented at 7th International conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV2018), Nantes, France from 8th to 10th October 2018. Procedia Manufacturing, 28
Open this publication in new window or tab >>In pursuit of Digital Manufacturing
2019 (English)In: Procedia Manufacturing, ISSN 2351-9789, Vol. 28Article in journal (Refereed) Published
Abstract [en]

Companies are adopting several new technologies that form the pillars of Industry 4.0 production framework, of which Digital Manufacturing (DM) stands out by combining conventional manufacturing technologies with digital techniques. These are used to assist in the design and analysis of the product and manufacturing processes. The adoption of digital manufacturing is partly about technological change, but it also entails significant organizational issues, which often are overlooked by managers. The purpose of this study is to identify the key factors that enable or prevent DM implementation, considering the production paradigm of Industry 4.0. Based on a literature review that identified a preliminary list of key factors, the appropriateness of these factors is empirically tested and refined in a two-fold approach: an in-depth pilot case in a multinational automotive company that is adopting DM technologies, and a survey of 113 users, managers, implementers and researchers working on digital manufacturing and Industry 4.0. The study identified 24 key factors to be considered when firms implement DM. These are categorized into technical, organizational, project based and external factors. The findings also indicate how each factor should be considered, and that they cannot be generalized due to cultural differences inherent to each individual company. As such, this research contributes to the current research debate by identifying the critical factors to be considered when conceiving and applying models for planning and executing DM implementation.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Digital manufacturing
National Category
Engineering and Technology
Research subject
Business Studies
Identifiers
urn:nbn:se:kth:diva-249122 (URN)10.1016/j.promfg.2018.12.011 (DOI)
Conference
7th International conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV2018), Nantes, France from 8th to 10th October 2018
Note

QC 20190514

Available from: 2019-04-10 Created: 2019-04-10 Last updated: 2019-05-17Bibliographically approved
Angelis, J., Winroth, M. & McManus, J. (2019). Service Management: Linking strategy design, and operations delivery. London: Palgrave Macmillan
Open this publication in new window or tab >>Service Management: Linking strategy design, and operations delivery
2019 (English)Book (Refereed)
Place, publisher, year, edition, pages
London: Palgrave Macmillan, 2019
Keywords
Service Management Design Strategy
National Category
Engineering and Technology
Research subject
Business Studies; Industrial Economics and Management; Business Studies
Identifiers
urn:nbn:se:kth:diva-249114 (URN)
Note

QC 20190514

Available from: 2019-04-10 Created: 2019-04-10 Last updated: 2019-05-20Bibliographically approved
Angelis, J. & Remeikienė, R. (2019). Sustainable Construction Ecosystem: 3dPrinting-based business models. In: Proceedings of the 5th European Operations Management Association Forum: . Paper presented at 5th European Operations Management Association Forum.
Open this publication in new window or tab >>Sustainable Construction Ecosystem: 3dPrinting-based business models
2019 (English)In: Proceedings of the 5th European Operations Management Association Forum, 2019Conference paper, Published paper (Refereed)
Keywords
3dP additative manufacturing construction
National Category
Engineering and Technology
Research subject
Civil and Architectural Engineering; Business Studies
Identifiers
urn:nbn:se:kth:diva-249126 (URN)
Conference
5th European Operations Management Association Forum
Note

QC 20190520

Available from: 2019-04-10 Created: 2019-04-10 Last updated: 2019-05-20Bibliographically approved
Angelis, J., Jordahl, H. & Glänngård, A. (2018). Management quality in health care: A study of the use of management practices in primary care. Public Money & Management
Open this publication in new window or tab >>Management quality in health care: A study of the use of management practices in primary care
2018 (English)In: Public Money & ManagementArticle in journal (Refereed) Published
Keywords
Heath care management
National Category
Social Sciences
Research subject
Economics; Business Studies; Economics
Identifiers
urn:nbn:se:kth:diva-249120 (URN)
Available from: 2019-04-10 Created: 2019-04-10 Last updated: 2019-05-17Bibliographically approved
Angelis, J., Ribeiro da Silva, E., Makdisi, J. & Etemady, D. (2018). Managing Human Errors: Augmented Reality systems as a tool in the quality journey. In: Proceedings of 7th Conference of Changeable, Agile, Reconfigurable and Virtual Production: . Paper presented at 7th Conference of Changeable, Agile, Reconfigurable and Virtual Production.
Open this publication in new window or tab >>Managing Human Errors: Augmented Reality systems as a tool in the quality journey
2018 (English)In: Proceedings of 7th Conference of Changeable, Agile, Reconfigurable and Virtual Production, 2018Conference paper, Published paper (Refereed)
Keywords
Augmented Reality
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-249127 (URN)
Conference
7th Conference of Changeable, Agile, Reconfigurable and Virtual Production
Note

QC 20190515

Available from: 2019-04-10 Created: 2019-04-10 Last updated: 2019-05-20Bibliographically approved
Okwir, S., Nudurupati, S. S., Ginieis, M. & Angelis, J. (2018). Performance Measurement and Management Systems: A Perspective from Complexity Theory. International journal of management reviews (Print), 20(3), 731-754
Open this publication in new window or tab >>Performance Measurement and Management Systems: A Perspective from Complexity Theory
2018 (English)In: International journal of management reviews (Print), ISSN 1460-8545, E-ISSN 1468-2370, Vol. 20, no 3, p. 731-754Article in journal (Refereed) Published
Abstract [en]

Complexity negatively impacts the process of continually improving performance management systems (PMSs). The extant PMS literature considers complexity to be a result of the external environment rather than a user response to that environment. However, this paper argues that organizations generally face internal complexity when adopting PMSs. Introducing PMSs into an organization can have varied effects in those organizations based on the complexity of an organization's associated members and its interactions. This study aims to understand the emergence of complexities while implementing and using PMSs in organizations. From the complexity theory perspective, four system properties (ontological, teleological, genetic and functional) are used to understand complexity in PMSs. The paper builds on a systematic literature review consisting of 76 papers and analyses them in the light of exploring sources of complexity when implementing and using PMSs. From the outset, complexity is understood to be a result of the conflict between existing organizational practices and mechanisms and the organizational controls associated with PMSs. The key findings abstracted six sources of complexity in this study: role, task and procedural types of complexity associated with the social dimension, and methodological, analytical and technological types of complexity associated with the technical dimension. The study findings contribute to the current discussion regarding why PMSs typically lag and are not responsive and resilient in emerging contexts. While understanding and exploring all organizational controls that moderate a PMS is useful, organizations should construct the necessary capabilities, depending on their context and adapt to the changes associated with PMSs.

Place, publisher, year, edition, pages
WILEY, 2018
National Category
Business Administration
Identifiers
urn:nbn:se:kth:diva-232404 (URN)10.1111/ijmr.12184 (DOI)000437117200004 ()2-s2.0-85049316333 (Scopus ID)
Funder
EU, European Research Council
Note

QC 20180726

Available from: 2018-07-26 Created: 2018-07-26 Last updated: 2019-08-20Bibliographically approved
Angelis, J., Machado, C., Pinheiro de Lima, E., da Costa, S. & Mattiado, R. (2017). Developing a maturity framework for sustainable operations management. International Journal of Production Economics
Open this publication in new window or tab >>Developing a maturity framework for sustainable operations management
Show others...
2017 (English)In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579Article in journal (Refereed) Published
National Category
Social Sciences Engineering and Technology
Research subject
Industrial Engineering and Management; Industrial Ecology
Identifiers
urn:nbn:se:kth:diva-206022 (URN)
Note

QCR 20170502

Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2017-05-02Bibliographically approved
Okwir, S., Ulfvengren, P., Angelis, J., Ruiz, F. & Nunez Guerrero, Y. M. (2017). Managing turnaround performance through Collaborative Decision Making. Journal of Air Transport Management, 58, 183-196
Open this publication in new window or tab >>Managing turnaround performance through Collaborative Decision Making
Show others...
2017 (English)In: Journal of Air Transport Management, ISSN 0969-6997, E-ISSN 1873-2089, Vol. 58, p. 183-196Article in journal (Refereed) Published
Abstract [en]

The purpose of this paper is to explore turnaround performance as a resultant from both Collaborative Decision Making (CDM) processes and collaborative measures. This paper presents how CDM operates in the Turnaround Process (TAP) to propose a new method for managing the collaborative turnaround performance of all actors by predicting the most critical indicators. To achieve this, data from a CDM airport is used. Sample data of 6500 observations, taken from turnaround movements handled in 2014 at Madrid-Barajas Airport, were obtained from three separate databases and analyzed separately (in three databases). To predict turnaround performance, this paper also introduces a predictor dependent variable called "star values" as a measure of minimal delay conditions in order to predict time performance. The analysis shows that the proposed method unveils a new approach in determining how collaborative performance can be measured in the TAP and the predicted key performance indicators, which shows variations in the predicted CDM indicators. Results challenge managers and policymakers to find which improvements can be enacted for better usage of airport infrastructures and resources for optimum use as well as enhanced TAP. In terms of theory use and extension, the study reveals how CDM is an essential element in the literature on air traffic management.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Collaborative Decision Making, Collaborative measures, Turnaround process, Performance measurement
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-199470 (URN)10.1016/j.jairtraman.2016.10.008 (DOI)000389294200019 ()2-s2.0-84995906521 (Scopus ID)
Note

QC 20170123

Available from: 2017-01-23 Created: 2017-01-09 Last updated: 2017-05-29Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-0904-5822

Search in DiVA

Show all publications