<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">This paper proposes a dynamic economic model with physical capital and renewable resources. Different from most of the neoclassical growth models with renewable resources which are based on microeconomic foundation and neglect physical capital accumulation, this study proposes a growth model with dynamics of renewable resources and physical capital accumulation. The model is a synthesis of the neoclassical growth theory and the traditional dynamic models of renewable resources with an alternative approach to household behavior. The model describes a dynamic interdependence among physical accumulation, resource change, and division of labor under perfect competition. Because of its refined economic structure, our study enables some interactions among economic variables which are not found in the existing literature on economic growth with renewable resources. We simulate the model to demonstrate the existence of equilibrium points and motion of the dynamic system. Our comparative dynamic analysis shows, for instance, that a rise in the propensity to consume the renewable resource increases the interest rate and reduces the national and production sector's capital stocks, wage rate and level of the consumption good. Moreover, it initially reduces and then increases the capital stocks of the resource sector and the consumption and price of the renewable resource. The stock of the renewable resource is initially increased and then reduced. Finally, labor is redistributed from the production to the resource sector.</abstract>

Renewable Resources, Capital Accumulation, and Economic Growth

<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">Current global business environment has a strong impact on theory and practice of organizations, as well as on working behavior of their employees. Increased complexity and competitiveness is changing settled ways of organizing and working. The ultimate search for the holy grail of achieving organizational effectiveness through better design solutions is gaining momentum. There are many possible areas and means for improvement. Great opportunities emerge from better understanding of contemporary organization and work environment. To seize them, the link between organization design and work design tendencies will be emphasized. Through an in-depth theoretical research on current business trends and their impact on the changing nature of work in organizations, potentially very strong patterns between these two different environmental categories and levels of analysis will be identified. Our extensive analysis of current trends and tendencies in organization design and work design field will provide useful insights for business practitioners and researchers.</abstract>

Business Trends and Tendencies in Organization Design and Work Design Practice: Identifying Cause-and-Effect Relationships

<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">In the contemporary world of global business and continuously growing competition, organizations tend to use mergers and acquisitions to enforce their position on the market. The future organization's design is a critical success factor in such undertakings. The field of social network analysis can enhance our uderstanding of these processes as it lets us reason about the development of networks, regardless of their origin. The analysis of mixing patterns is particularly useful as it provides an insight into how nodes in a network connect with each other. We hypothesize that organizational networks with compatible mixing patterns will be integrated more successfully. After conducting a simulation experiment, we suggest an integration model based on the analysis of network assortativity. The model can be a guideline for organizational integration, such as occurs in mergers and acquisitions.</abstract>

Faculty of Organization and Informatics, University Of Zagreb, Pavlinska 2, 42000 Varaždin, Croatia

Bio-Zrno d.o.o., Đure Sudete 42, 42000 Varaždin, Croatia

Social Network Mixing Patterns In Mergers &amp; Acquisitions - A Simulation Experiment

<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">We examine solutions in which neither player is worse off from the leadership of one in a policy maker-public game. The loop model of dynamic games is used. Outcome space is dotted with equivalence classes of solutions. The Dynamic Stochastic General Equilibrium (DSGE) results and their New Keynesian variants might represent one category. The economy is the neighborhood of a market-clearing equilibrium with Pareto-optimal properties modulo frictions. Our interest lies in the ‘old’ Keynesian genus where the representative state is one of involuntary unemployment. Two information sets are relevant. In the first case, agents look to the past and the present. In the second, they are bound by the information provided in the present. The standard analysis pertains to DSGE models under full information. We show, in contrast, that in a situation of structural disequilibrium and feedback information, all parties are better off reneging on the social compact to achieve a superior class of solutions.</abstract>

On Concurrent Solutions in Differential Games

AHEAD OF PRINT

Volume 14 (2023): Issue 2 (December 2023)

Volume 14 (2023): Issue 1 (September 2023)

Volume 13 (2022): Issue 3 (October 2022)

Volume 13 (2022): Issue 2 (December 2022)

Volume 13 (2022): Issue 1 (June 2022)

Volume 12 (2021): Issue 2 (December 2021)

Volume 12 (2021): Issue 1 (May 2021)

Volume 11 (2020): Issue 3 (November 2020)

Volume 11 (2020): Issue 2 (October 2020)

Volume 11 (2020): Issue 1 (March 2020)

Volume 10 (2019): Issue 2 (September 2019)

Volume 10 (2019): Issue 1 (April 2019)

Volume 9 (2018): Issue 2 (July 2018)

Volume 9 (2018): Issue 1 (March 2018)

Volume 8 (2017): Issue 2 (September 2017)

Volume 8 (2017): Issue 1 (March 2017)

Volume 7 (2016): Issue 2 (September 2016)

Volume 7 (2016): Issue 1 (March 2016)

Volume 6 (2015): Issue 2 (September 2015)

Volume 6 (2015): Issue 1 (March 2015)

Volume 5 (2014): Issue 3 (September 2014) “Novel solutions or novel approaches in Operational Research” co-published with the Slovenian Society INFORMATIKA – Section for Operational Research (SDI-SOR), Issue Editors: Ksenija Dumičić (University of Zagreb), Lidija Zadnik Stirn (University of Ljubljana), and Janez Žerovnik (University of Ljubljana)

Volume 5 (2014): Issue 2 (June 2014)

Volume 5 (2014): Issue 1 (March 2014) Special Issue: Embedded Systems Applications: Future Society Applications

Volume 4 (2013): Issue 2 (December 2013)

Volume 4 (2013): Issue 1 (March 2013)

Volume 3 (2012): Issue 2 (September 2012) "Innovative Approaches to Operations Research Methodology and Its Applications in Business, Economics, Management and Social Sciences" co-published with the Slovenian Society INFORMATIKA - Section for Operational Research (SDI-SOR)

Volume 3 (2012): Issue 1 (June 2012)

Volume 2 (2011): Issue 2 (June 2011)

Volume 2 (2011): Issue 1 (January 2011)

Volume 1 (2010): Issue 1-2 (January 2010)

Business Systems Research Journal

 Business Systems Research (BSR) is a scientific journal focusing on research findings in economics and business systems. Additionally, BSR considers research that combines business and economics with other fields of scientific enquiry, e.g. information systems, mathematics and social sciences. BSR examines a wide variety of business decisions, processes and activities within the actual business setting, as well as within the systems approach framework. Theoretical and empirical advances in perceiving businesses as systems are evaluated regularly.In this respect, the BSR journal fosters the exchange of ideas, experience and knowledge between regions with different technological and cultural traditions, in particular in transition countries. Papers submitted for publication should be original theoretical and practical papers. The journal also publishes case studies describing innovative applications and critical reviews of theory.  The journal is indexed in Scopus and Clarivate Analytics - Emerging Sources Citation Index &amp; Web of Science.  Journal Business Systems Research (BSR) is financially supported by the Croatian Ministry of Science and Education.  Why subscribe and read  Business Systems Research (BSR) is a scientific journal focusing on research findings in economics and business systems. Additionally, BSR considers research that combines business and economics with other fields of scientific enquiry, e.g. information systems, mathematics and social sciences. BSR examines a wide variety of business decisions, processes and activities within the actual business setting, as well as within the systems approach framework.  Why submit  Business Systems Research is a good opportunity for the publication of research that describes and explores economics and business systems. Our policy is to give feedback to authors as fast as possible. After receiving the paper that is prepared for Author instructions, the editorial board will inform the author on the appropriateness of the paper to the journal within two weeks. The first review will be delivered as fast as possible, but not later than two months. Reviews that we provide are thorough and give author clear directions on how to improve the paper.  Rejection Rate   70%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 

Business Systems Research Journal

Volume 2 (2011): Issue 1 (January 2011)

Renewable Resources, Capital Accumulation, and Economic Growth

Business Trends and Tendencies in Organization Design and Work Design Practice: Identifying Cause-and-Effect Relationships

Social Network Mixing Patterns In Mergers & Acquisitions - A Simulation Experiment

On Concurrent Solutions in Differential Games

Chercher

Tous les volumes et éditions dans cette revue