Taming Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms

2020 | Management Information Systems Quarterly | Citations: 0

Authors: Malgonde, Onkar; He Zhang; Padmanabhan, Balaji; Limayem, Moez

Abstract: We study digital multisided platforms as complex adaptive business systems (CABS ... Expand

Abstract: We study digital multisided platforms as complex adaptive business systems (CABS) where multiple sides have different and evolving objectives, preferences, and constraints. CABS are characterized by irreducible uncertainty, which cannot be reduced by the traditional approaches of collecting and processing data. Irreducible uncertainty in the system gives rise to a complex search matching problem between agents and value enhancing transactions. This paper presents a recommender systems-based approach for taming the complexity by allowing agents to coevolve and learn in the system. We propose a novel two-sided recommender system framework, which considers emergence on both sides of the platform and adapts to the changing environment to influence agents. An agent-based simulation model is developed based on popular internet-based educational platforms to study this complex system and test our hypotheses. Our results show the value of a twosided recommender system to tame complex search matching in platforms. We discuss implications for information systems and complexity science research. Collapse

Topics: recommender system internet technology digital platform social network online learning system

Methods: agent based simulation simulation design artifact regression analysis method nonparametric test

CHASM: A Blockchain Design Pattern

2020 | International Conference on Information Systems | Citations: 0

Authors: Sengupta, Arijit; Subramanian, Hemang

Abstract: Many different implementations of Blockchain currently exist, each offering its ... Expand

Abstract: Many different implementations of Blockchain currently exist, each offering its own implementation of Bitcoin’s original proposal. It is difficult to compare these separate implementations for design choices, performance benchmarks or application suitability without a common basic design framework. Using the concept of design spaces, and using common components across five well-known blockchain systems, we propose a new software design pattern called CHASM for Blockchains which extends the Context Object design pattern. We provide a J2EE reference implementation of this design pattern and execute three experiments comparing performances of alternate blockchain implementations on different single and multi-core hardware architectures. This pattern can be used as a basis for designing, developing and comparing different Consensus(C), Hashing(H), Transaction Assembly(A), Storage(S) and Mining(M) techniques, which can aid in the process of designing, developing, testing and benchmarking Blockchains. Collapse

Topics: blockchain computer hardware smart contract application programming interface Bitcoin

Methods: computational algorithm design pattern experiment design artifact parametric test

Ranking software components for reuse based on non-functional properties

2016 | Information Systems Frontiers | Citations: 0

Authors: Kessel, Marcus; Atkinson, Colin

Abstract: One of the biggest obstacles to software reuse is the cost involved in evaluatin ... Expand

Abstract: One of the biggest obstacles to software reuse is the cost involved in evaluating the suitability of possible reusable components. In recent years, code search engines have made significant progress in establishing the semantic suitability of components for new usage scenarios, but the problem of ranking components according to their non-functional suitability has largely been neglected. The main difficulty is that a component’s non-functional suitability for a specific reuse scenario is usually influenced by multiple, “soft” criteria, but the relative weighting of metrics for these criteria is rarely known quantitatively. What is required, therefore, is an effective and reliable strategy for ranking software components based on their non-functional properties without requiring users to provide quantitative weighting information. In this paper we present a novel approach for achieving this based on the non-dominated sorting of components driven by a specification of the relative importance of non-functional properties as a partial ordering. After describing the ranking algorithm and its implementation in a component search engine, we provide an explorative study of its properties on a sample set of components harvested from Maven Central. Collapse

Topics: Java search engine software metric source code systems development

Methods: computational algorithm design artifact optimization model literature study descriptive statistic

SMART CITY PLANNING - DEVELOPING AN URBAN CHARGING INFRASTRUCTURE FOR ELECTRIC VEHICLES

2014 | European Conference On Information Systems | Citations: 0

Authors: Wagner, Sebastian; Brandt, Tobias; Neumann, Dirk

Abstract: Electric mobility is considered to be an essential building block of a sustainab ... Expand

Abstract: Electric mobility is considered to be an essential building block of a sustainable transportation paradigm. Particularly for the urban metropolis of the 21st century electric vehicles embody a promise of decreased air pollution and increased quality of living. However, city planners need to muster enormous investments into urban charging infrastructure in advance. We develop a decision support system to help city planners use these funds more efficiently and place charging infrastructure where it is truly needed. We construct a regression model to determine factors that influence the utilization of charge points in Amsterdam, one of the most "electrified" cities in the world. We include data on more than 50,000 points of interest, for instance shopping malls and museums, as well as charging data from 273 charging points with 427 individual outlets in the city of Amsterdam. From these influences we derive a decision support system that places charge points where they are expected to experience the highest utilization. Collapse

Topics: decision support system Google+ application programming interface object oriented programming language Python

Methods: regression analysis method computational algorithm simulation optimization model cluster analysis

Theories: economic theory