Loading...
Projects / Programmes source: ARIS

Business analytics and business models in supply chains

Research activity

Code Science Field Subfield
5.02.00  Social sciences  Economics   

Code Science Field
S189  Social sciences  Organizational science 

Code Science Field
5.02  Social Sciences  Economics and Business 
Keywords
supply chain management, business model, business analytics, innovations
Evaluation (rules)
source: COBISS
Researchers (15)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  37438  PhD Marko Budler  Economics  Researcher  2018 - 2021  102 
2.  19760  PhD Simon Čadež  Economics  Researcher  2018 - 2021  454 
3.  33389  PhD Matej Černe  Economics  Researcher  2018 - 2021  603 
4.  28350  PhD Jure Erjavec  Economics  Researcher  2020 - 2021  152 
5.  03158  PhD Mirko Gradišar  Economics  Researcher  2018 - 2021  826 
6.  13682  PhD Jurij Jaklič  Economics  Researcher  2018 - 2021  622 
7.  26020  PhD Ljubica Knežević Cvelbar  Economics  Researcher  2018 - 2021  323 
8.  30716  PhD Anton Manfreda  Economics  Researcher  2019 - 2021  135 
9.  53753  PhD Jan Mendling  Economics  Researcher  2019 - 2021  123 
10.  37697  Mojca Ogrin    Technical associate  2018 - 2021  24 
11.  24105  PhD Aleš Popovič  Economics  Researcher  2018 - 2020  253 
12.  52518  MSc Mojca Simonovič  Economics  Researcher  2019 - 2021 
13.  33180  PhD Luka Tomat  Economics  Researcher  2019 - 2021  136 
14.  30919  PhD Marina Trkman  Administrative and organisational sciences  Researcher  2020 - 2021  50 
15.  23021  PhD Peter Trkman  Economics  Head  2018 - 2021  380 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0584  University of Ljubljana, School of Economics and Business (SEB)  Ljubljana  1626922  42,828 
Abstract
The ongoing 4th industrial revolution and digital transformation stipulate continuous business model (BM) innovation. Moreover, the roles of organizations started to overlap and need to be re-defined. The adoption and use of business analytics (BA) is of key importance for economically-sound BM innovation. The adoption of BA affects the decision-making process on strategic, tactical, and operational levels, requires affirmation from the top management, and entails the development of data-handling techniques.   Researchers and practitioners try to answer to 'what BM is and what it is not', how to modify the existing and develop new 'winning' BMs, which ramifications for BMs are entailed by simultaneous competition and cooperation, and how to design the methods for big-data analytics that will improve the decision-making and the performance of organizations. BA can change the way organizations form supply chains (SCs); however, its implementation – next to BM development – is very difficult. Further development of these interdisciplinary research areas requires combining leading-edge knowledge repositories from BMs, BA, Supply chain management (SCM), and non-technological innovations. Our basic research project thus represents the important and much needed 'breakthrough' in this interwoven research areas. The project will commence with a thorough analysis of the BM research in the first working package (WP1). We are going to use bibliometric methods that will reveal the past research areas and yield rigorous findings to considerably improve the future outlook of the BM research. In the second working package (WP2) we will develop a conceptual model with possible scenarios between collaborators-competitors (coopetitors). We will use the model and the game-theoretic reasoning to demonstrate interactions between coopetitors and their impact on the BM development. The working package 3 (WP3) will tackle the role of BA in the ecosystems of coopetition-based BMs. In addition, the WP3 will enhance understanding of BA adoption in organizations and explain the mechanisms through which BA creates value for the business. We take innovativeness, uncertainties in organizational environments, and the quality of information into account to comprehensively analyze how BA capabilities improve organizations performance.  Organizations can suffer a setback if they do not focus on analytically-oriented individuals whose analytical skills are a pre-requisite for eliciting value out of BA solutions. Therefore, the working package 4 (WP4) focuses on the traits of these individuals and how these traits affect the BA adoption and decision making. In addition, we will manipulate with the novel BA solutions to test the response of these individuals and, consequently, different decisions. The last working package (WP5) will be devoted to the development of new BA methods. Specifically, we will focus on the methods and techniques of predictive analytics that enable BM improvement. The project commences with bibliometric methods, specifically co-citation analysis for the past development of the BM topic; co-word analysis to identify the interconnections within topics of interest and to generate semantic maps of publications within the BM research; and bibliographic coupling to predict the further research agenda. Next, we use experiments to identify and analyze the differences between experimental groups and to confirm/reject the use of various BA methods in different circumstances. Then we model analytical orientation on a conceptual level and develop a model to identify key constructs and their connections. We also develop an analytical framework that considers overlapping and re-defined roles of organizations in SC networks with a presence of cooperation between competitors. Our revolutionary framework will present the coopetition-based scenarios elaborating on multiple case studies. For the analysis of the role of BA and its adoption we use adv
Significance for science
The proposed project addresses the key questions: what the role of business models is in the dynamic supply networks where coopetition is present; how one should approach designing a business model; how to apply the business analytics solutions to decision-making process, and where to use analytically-oriented individuals to improve the decision-making. The research project is relevant to and has potential benefits for 5 different research topics. First, the project is going to improve the understanding of the business model role and elucidate economically-sound business model innovation. Our findings will improve the research methodology and suggest more diverse research methods, such as the quantitative analysis, experiments, and statistical models. Second, we develop a conceptual framework showing coopetition-based scenarios. We are going to conduct multiple case studies on American, European, and Slovenian organizations to demonstrate the application of our framework. We derive mathematics to validate the framework and key findings of this research. The research will demonstrate the scenarios where coopetition should be preferred, and recommend the development of new business models in the dynamic supply networks with the inherent presence of coopetition. The findings from the third and fourth working package (WP3 and WP4) will enhance the understanding of adoption and use of business analytics among organizations and individuals. In addition, findings from the WP3 will allow to identify the constructs and the determinants that impact the adoption of business analytics solutions. Finally, we emphasize the importance of analytically oriented individuals when adopting business analytics. Our findings will characterize the traits of individuals included in the decision making.  The research in the WP5 will address the development of novel business analytics solutions (methods) to improve the capturing, processing, and the usage of the data for decision-making in supply chain management. The research will show that novel business analytics solutions improve the decision-making, allow economically-sound business model innovation, and improve the formation of 'rules' and relationships between different organizations. The project leader and the members of the research group are among the top researchers in the world within the project research areas. In light of this, we expect impactful results of the project that will be widely recognized and spread around with the conference and congress presentations, submitted manuscripts to high-indexed scientific journals, during the lectures and workshops at University of Ljubljana, and in different international summer schools. We describe the objectives and the results of each working package more specifically in the chapter 13.
Significance for the country
The proposed project addresses the key questions: what the role of business models is in the dynamic supply networks where coopetition is present; how one should approach designing a business model; how to apply the business analytics solutions to decision-making process, and where to use analytically-oriented individuals to improve the decision-making. The research project is relevant to and has potential benefits for 5 different research topics. First, the project is going to improve the understanding of the business model role and elucidate economically-sound business model innovation. Our findings will improve the research methodology and suggest more diverse research methods, such as the quantitative analysis, experiments, and statistical models. Second, we develop a conceptual framework showing coopetition-based scenarios. We are going to conduct multiple case studies on American, European, and Slovenian organizations to demonstrate the application of our framework. We derive mathematics to validate the framework and key findings of this research. The research will demonstrate the scenarios where coopetition should be preferred, and recommend the development of new business models in the dynamic supply networks with the inherent presence of coopetition. The findings from the third and fourth working package (WP3 and WP4) will enhance the understanding of adoption and use of business analytics among organizations and individuals. In addition, findings from the WP3 will allow to identify the constructs and the determinants that impact the adoption of business analytics solutions. Finally, we emphasize the importance of analytically oriented individuals when adopting business analytics. Our findings will characterize the traits of individuals included in the decision making.  The research in the WP5 will address the development of novel business analytics solutions (methods) to improve the capturing, processing, and the usage of the data for decision-making in supply chain management. The research will show that novel business analytics solutions improve the decision-making, allow economically-sound business model innovation, and improve the formation of 'rules' and relationships between different organizations. The project leader and the members of the research group are among the top researchers in the world within the project research areas. In light of this, we expect impactful results of the project that will be widely recognized and spread around with the conference and congress presentations, submitted manuscripts to high-indexed scientific journals, during the lectures and workshops at University of Ljubljana, and in different international summer schools. We describe the objectives and the results of each working package more specifically in the chapter 13.
Most important scientific results Interim report
Most important socioeconomically and culturally relevant results
Views history
Favourite