Identifying Four Key Means of Business Value Creation using Enterprise Systems: An Empirical Study

Enterprise Systems (ES) is increasingly becoming the choice of IT platform for most large organizations in the world. As a result, the potential of such systems to create more business value is of key interest to both industry and academia. The aim of this study is to identify the key means of business value creation that Enterprise Systems can enable. The contribution of this paper is that it identifies and proposes four key means by which Enterprise Systems can create business value: (a) Operational Efficiency (b) Mergers and Acquisitions, (c) Innovation (in product and process), (d) Strategic Decision Making. This paper empirically tests and reports evidence of support for these propositions with empirical data from 100 success cases. This study paves way for further research to explore each of the four means to understand the mechanism of ‘how’ the value can be created along each of those four means. Also, another area of investigation is whether Enterprise Systems can enable business value creation through any other means, not mentioned in this paper

Synthesis of Business Motivation Model (BMM) and ArchiMate: Towards a New Modelling Technique for Strategic Alignment of Business and IT

While there is no dearth of studies on strategic alignment between business and IT, there is a lack of end-to end modelling techniques to depict such alignment. This paper presents a new modelling tech-nique, by synthesizing two leading modelling techniques – (a) Archimate – the tool proposed by The Open Group Architecture Framework (TOGAF) and the Business Motivation Model (BMM). The contribution of this paper is that it presents a new, end-to end modelling technique that can link the IT capabilities to the business strategy, thus depicting strategic alignment. Additionally, through this technique, the paper also presents a new comprehensive model to explain how an Enterprise Architec-ture framework (like TOGAF) can enable strategic alignment between business and IT

Towards a Prescriptive Framework for Selecting Suitable Artificial Intelligence Algorithms for Enterprise-Level Problems

We are living in a world where data is touted to be the new oil and analytics is the combustion engine. Analytics or data science comprises a number of tools and techniques from the fields of statistics, machine learning and broader AI. While there is no dearth of such tools and techniques ranging from random forests to neural networks, problems most enterprises face is that of identify the most suitable tool (s) for a business problem at hand. This paper aims to address this problem by developing a novel, comprehensive framework that identifies the optimal data science tools given the ‘nature’ and ‘type’ of the business problem and the constraints on the underlying data used. This framework can be an effective device for enterprises to select the suitable data science tools and techniques to apply to their problems. The intention is to empirically test this framework in future research and develop a Natural language Processing (NLP) implementation of this prescriptive framework

Digital Transformation through Enterprise Systems: A Variance Model Linking the Drivers of Business Value and the Value Created from Enterprise Systems

Currently, the potential of Enterprise Systems to transform organizations is emerging as a popular area of investigation. The aim of this study is to a) identify the means of such transformation or business value creation, beyond operational efficiency, that Enterprise Systems can enable and b) understand the drivers of such ES-enabled business value creation. This paper presented and found empirical support for a new model to establish relationships between the drivers of Enterprise Systemsenabled business value, and the business value created. The proposed model was empirically tested using data analysis of user cases of Enterprise Systems around the world. The study found evidence of support for both association and causality between drivers of business value (integrate, optimise and informate) and the business value created (Mergers and Acquisitions, Innovation, and Strategic Decision Making) from Enterprise Systems. This study can be treated as a foundation for further research for generalization of the proposed causal relationships between the value created by Enterprise Systems and the drivers of such value using detailed case studies, and uncovering more such causal relationships. The contribution of this paper is that it presents and empirically tests a new variance model that establishes causal relationships between drivers of business value from Enterprise Systems (integrate, optimise and informate) and the business value created (Mergers and Acquisitions, Innovation, and Strategic Decision Making)

Going Beyond Operations with Enterprise Systems

Enterprise Systems have become the preferred type of IT systems in most large organizations in the last few decades. These, large-scale, integrated, packaged software suites have been shown to enable operational efficiency by several prior studies .This paper reviews a number of such studies and identifies a gap in the literature. The primary contribution of this paper is that it proposes that Enterprise Systems can create business value, in addition to operational efficiency, by achieving innovation (in product, process and alliance) and enabling better strategic decision making in the adopting firms. The paper also provides empirical evidence using detailed secondary data that supports this proposition. In addition, this study also provides additional evidence for concepts identified in earlier research. This paper reports on the first study of a research-in-progress and this model will be tested further through extensive primary case studie

Enterprise systems for innovation in products and processes : beyond operational efficiency

It has been widely accepted now in industry and academia that Enterprise Systems (ES) can create value for adopting organizations by enabling operational efficiency. However, given the enormous investments they warrant, the potential of such systems to deliver more than improving operations is emerging as a popular area of investigation. This paper reports a research-in-progress that proposes innovation as a means of creating business value with Enterprise Systems. The primary contribution of this paper is a process model that proposes that Enterprise Systems can enable innovation - in products and processes, and supports it with empirical evidence using three case studies. The intention is to test this model further with more case studies and a survey.<br /

Supersymmetric States in Large N Chern-Simons-Matter Theories

In this paper we study the spectrum of BPS operators/states in N=2 superconformal U(N) Chern-Simons-matter theories with adjoint chiral matter fields, with and without superpotential. The superconformal indices and conjectures on the full supersymmetric spectrum of the theories in the large N limit with up to two adjoint matter fields are presented. Our results suggest that some of these theories may have supergravity duals at strong coupling, while some others may be dual to higher spin theories of gravity at strong coupling. For the N=2 theory with no superpotential, we study the renormalization of R-charge at finite 't Hooft coupling using "Z-minimization". A particularly intriguing result is found in the case of one adjoint matter.Comment: 53 pages, 18 figures. v2: improved numerics, additional comments adde

Entangled Dilaton Dyons

Einstein-Maxwell theory coupled to a dilaton is known to give rise to extremal solutions with hyperscaling violation. We study the behaviour of these solutions in the presence of a small magnetic field. We find that in a region of parameter space the magnetic field is relevant in the infra-red and completely changes the behaviour of the solution which now flows to an $AdS_2\times R^2$ attractor. As a result there is an extensive ground state entropy and the entanglement entropy of a sufficiently big region on the boundary grows like the volume. In particular, this happens for values of parameters at which the purely electric theory has an entanglement entropy growing with the area, $A$, like $A \log(A)$ which is believed to be a characteristic feature of a Fermi surface. Some other thermodynamic properties are also analysed and a more detailed characterisation of the entanglement entropy is also carried out in the presence of a magnetic field. Other regions of parameter space not described by the $AdS_2\times R^2$ end point are also discussed.Comment: Some comments regarding comparison with weakly coupled Fermi liquid changed, typos corrected and caption of a figure modifie

There is More to ‘IT’ than Improving Operations: Towards A Mechanism for Enterprise Systems-enabled M&A, Innovation and Strategic Decisions

Enterprise Systems (ES) have been widely regarded, for some time now, for enabling operational efficiency for adopting organizations. Currently, the potential of such systems to go beyond improving operations is emerging as a popular area of investigation. The aim of this study is to a) identify the means of business value creation, beyond operational efficiency, that Enterprise Systems can enable and b) understand the mechanism through which such ES-enabled business value creation can happen. The contribution of this paper is that it presents a new conceptual model, based on a review of existing literature that seeks to explain the mechanism through which different means of business value can be realised from Enterprise Systems