cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5861193.v1
title: ON THE ROLE OF SWITCHING COSTS AND DECISION REVERSIBILITY IN INFORMATION TECHNOLOGY ADOPTION AND INVESTMENT

description: ABSTRACT Managerial decisions on the adoption of innovative technologies by a firm are made under conditions of uncertainty and must account for network externalities that imply the benefit of a technology is received not only from its intrinsic payoff, but also from the size of the network of other adopters. The theoretical model presented in this study demonstrates that for firms evaluating information technology investment with network effects key determinants of the technology selection pattern are adoption reversibility and switching costs. If switching costs are sufficiently high to make technology adoption irreversible then safer established technologies have an advantage as choosing a riskier untested technology opens the firm to the risk of being stranded without a network of followers. With lower switching costs, the technology adoption decision is reversible which provides an advantage to riskier untested technologies. A discussion of empirical evidence on adoption patterns in information technology provides application for the theoretical model.
DOI: 10.6084/m9.figshare.5861193
title: ON THE ROLE OF SWITCHING COSTS AND DECISION REVERSIBILITY IN INFORMATION TECHNOLOGY ADOPTION AND INVESTMENT

description: ABSTRACT Managerial decisions on the adoption of innovative technologies by a firm are made under conditions of uncertainty and must account for network externalities that imply the benefit of a technology is received not only from its intrinsic payoff, but also from the size of the network of other adopters. The theoretical model presented in this study demonstrates that for firms evaluating information technology investment with network effects key determinants of the technology selection pattern are adoption reversibility and switching costs. If switching costs are sufficiently high to make technology adoption irreversible then safer established technologies have an advantage as choosing a riskier untested technology opens the firm to the risk of being stranded without a network of followers. With lower switching costs, the technology adoption decision is reversible which provides an advantage to riskier untested technologies. A discussion of empirical evidence on adoption patterns in information technology provides application for the theoretical model.
DOI: 10.6084/m9.figshare.20011793
title: Cloud computing: searching its use in public management environments

description: Abstract The research investigated the perception about cloud computing (CC) in public management environments. After, from the perspective of information technology (IT) people on those organizations, it has raised views on how IT in the cloud is seen as a solution for government-level service delivery. Then, managers of the top public management of two cities, sought aspects of feasibility, timeliness, necessity and actuality of the CC, for the provision of digital services. Listening revealed CN is known, although misunderstood and will only be effective when the process and community service dimensions are delineated by the municipal management (modeling and implementation). Nevertheless, it was realized that the technology will be absorbed by public information technology and will replace the traditional one-way service delivery, favoring the increase of computational intelligence distributed in social scale and the inclusive participation of the population in the management of cities.
DOI: 10.6084/m9.figshare.20011793.v1
title: Cloud computing: searching its use in public management environments

description: Abstract The research investigated the perception about cloud computing (CC) in public management environments. After, from the perspective of information technology (IT) people on those organizations, it has raised views on how IT in the cloud is seen as a solution for government-level service delivery. Then, managers of the top public management of two cities, sought aspects of feasibility, timeliness, necessity and actuality of the CC, for the provision of digital services. Listening revealed CN is known, although misunderstood and will only be effective when the process and community service dimensions are delineated by the municipal management (modeling and implementation). Nevertheless, it was realized that the technology will be absorbed by public information technology and will replace the traditional one-way service delivery, favoring the increase of computational intelligence distributed in social scale and the inclusive participation of the population in the management of cities.
DOI: 10.6084/m9.figshare.5862411
title: THE ADVANCED ANALYTICS JUMPSTART: DEFINITION, PROCESS MODEL, BEST PRACTICES

description: ABSTRACT Companies are encouraged by the big data trend to experiment with advanced analytics and many turn to specialist consultancies to help them get started where they lack the necessary competences. We investigate the program of one such consultancy, Advectas - in particular the advanced analytics Jumpstart. Using qualitative techniques including semi structured interviews and content analysis we investigate the nature and value of the Jumpstart concept through five cases in different companies. We provide a definition, a process model and a set of thirteen best practices derived from these experiences, and discuss the distinctive qualities of this approach.
DOI: 10.6084/m9.figshare.5862411.v1
title: THE ADVANCED ANALYTICS JUMPSTART: DEFINITION, PROCESS MODEL, BEST PRACTICES

description: ABSTRACT Companies are encouraged by the big data trend to experiment with advanced analytics and many turn to specialist consultancies to help them get started where they lack the necessary competences. We investigate the program of one such consultancy, Advectas - in particular the advanced analytics Jumpstart. Using qualitative techniques including semi structured interviews and content analysis we investigate the nature and value of the Jumpstart concept through five cases in different companies. We provide a definition, a process model and a set of thirteen best practices derived from these experiences, and discuss the distinctive qualities of this approach.
DOI: 10.6084/m9.figshare.5862054
title: TRANSFER LEARNING FOR RESOLVING SPARSITY PROBLEM IN RECOMMENDER SYSTEMS: HUMAN VALUES APPROACH

description: ABSTRACT With the rapid rise in popularity of ecommerce application, Recommender Systems are being widely used by them to predict the response that a user will give to a given item. This prediction helps in cross selling, upselling and to increase the loyalty of their customers. However due to lack of sufficient feedback data these systems suffer from sparsity problem which leads to decline in their prediction efficiency. In this work, we have proposed and empirically demonstrated how the Transfer Learning approach using five dimensions of basic human values can be successfully used to alleviate the sparsity problem and increase the efficiency of recommender system algorithms.
DOI: 10.6084/m9.figshare.5862054.v1
title: TRANSFER LEARNING FOR RESOLVING SPARSITY PROBLEM IN RECOMMENDER SYSTEMS: HUMAN VALUES APPROACH

description: ABSTRACT With the rapid rise in popularity of ecommerce application, Recommender Systems are being widely used by them to predict the response that a user will give to a given item. This prediction helps in cross selling, upselling and to increase the loyalty of their customers. However due to lack of sufficient feedback data these systems suffer from sparsity problem which leads to decline in their prediction efficiency. In this work, we have proposed and empirically demonstrated how the Transfer Learning approach using five dimensions of basic human values can be successfully used to alleviate the sparsity problem and increase the efficiency of recommender system algorithms.
DOI: 10.6084/m9.figshare.5861160
title: INFORMATION TOKEN DRIVEN MACHINE LEARNING FOR ELECTRONIC MARKETS: PERFORMANCE EFFECTS IN BEHAVIORAL FINANCIAL BIG DATA ANALYTICS

description: ABSTRACT Conjunct with the universal acceleration in information growth, financial services have been immersed in an evolution of information dynamics. It is not just the dramatic increase in volumes of data, but the speed, the complexity and the unpredictability of ‘big-data’ phenomena that have compounded the challenges faced by researchers and practitioners in financial services. Math, statistics and technology have been leveraged creatively to create analytical solutions. Given the many unique characteristics of financial bid data (FBD) it is necessary to gain insights into strategies and models that can be used to create FBD specific solutions. Behavioral finance data, a subset of FBD, is seeing exponential growth and this presents an unprecedented opportunity to study behavioral finance employing big data analytics methodologies. The present study maps machine learning (ML) techniques and behavioral finance categories to explore the potential for using ML techniques to address behavioral aspects in FBD. The ontological feasibility of such an approach is presented and the primary purpose of this study is propositioned: ML based behavioral models can effectively estimate performance in FBD. A simple machine learning algorithm is successfully employed to study behavioral performance in an artificial stock market to validate the propositions.
DOI: 10.6084/m9.figshare.5861160.v1
title: INFORMATION TOKEN DRIVEN MACHINE LEARNING FOR ELECTRONIC MARKETS: PERFORMANCE EFFECTS IN BEHAVIORAL FINANCIAL BIG DATA ANALYTICS

description: ABSTRACT Conjunct with the universal acceleration in information growth, financial services have been immersed in an evolution of information dynamics. It is not just the dramatic increase in volumes of data, but the speed, the complexity and the unpredictability of ‘big-data’ phenomena that have compounded the challenges faced by researchers and practitioners in financial services. Math, statistics and technology have been leveraged creatively to create analytical solutions. Given the many unique characteristics of financial bid data (FBD) it is necessary to gain insights into strategies and models that can be used to create FBD specific solutions. Behavioral finance data, a subset of FBD, is seeing exponential growth and this presents an unprecedented opportunity to study behavioral finance employing big data analytics methodologies. The present study maps machine learning (ML) techniques and behavioral finance categories to explore the potential for using ML techniques to address behavioral aspects in FBD. The ontological feasibility of such an approach is presented and the primary purpose of this study is propositioned: ML based behavioral models can effectively estimate performance in FBD. A simple machine learning algorithm is successfully employed to study behavioral performance in an artificial stock market to validate the propositions.
DOI: 10.6084/m9.figshare.5862150
title: INTEGRATING INTERNAL CONTROL FRAMEWORKS FOR EFFECTIVE CORPORATE INFORMATION TECHNOLOGY GOVERNANCE

description: Abstract This paper analyzes and proposes how several internal control frameworks can be integrated to achieve effective corporate information technology governance. The fundamental tenet of the current literature in this area is that neither a single framework nor non-integrated multiple frameworks would suffice in achieving effective information technology security and governance. Using the extant literature, a deductive approach, and focusing on three popularized internal control frameworks ERM, COSO, and COBIT5, we propose a framework that can help organizations effectively and efficiently achieve information technology governance through their interaction. An integrated framework is one that links the key control objectives to strategic business objectives and, in doing so, addresses IT governance principles at both a strategic and operational level, whilst aligning IT and business management understanding of the key risk areas that characterize the organization’s goals (Goosen and Rudman, 2013). In addition, this fundamental alignment is expected to eliminate unnecessary controls and processes which in turn help improving IT governance. We expect firms seeking to adopt the proper IT governance to utilize the proposed integrated framework.
DOI: 10.6084/m9.figshare.5862150.v1
title: INTEGRATING INTERNAL CONTROL FRAMEWORKS FOR EFFECTIVE CORPORATE INFORMATION TECHNOLOGY GOVERNANCE

description: Abstract This paper analyzes and proposes how several internal control frameworks can be integrated to achieve effective corporate information technology governance. The fundamental tenet of the current literature in this area is that neither a single framework nor non-integrated multiple frameworks would suffice in achieving effective information technology security and governance. Using the extant literature, a deductive approach, and focusing on three popularized internal control frameworks ERM, COSO, and COBIT5, we propose a framework that can help organizations effectively and efficiently achieve information technology governance through their interaction. An integrated framework is one that links the key control objectives to strategic business objectives and, in doing so, addresses IT governance principles at both a strategic and operational level, whilst aligning IT and business management understanding of the key risk areas that characterize the organization’s goals (Goosen and Rudman, 2013). In addition, this fundamental alignment is expected to eliminate unnecessary controls and processes which in turn help improving IT governance. We expect firms seeking to adopt the proper IT governance to utilize the proposed integrated framework.
DOI: 10.6084/m9.figshare.5862291
title: CYBER SECURITY GOVERNANCE AND MANAGEMENT FOR SMART GRIDS IN BRAZILIAN ENERGY UTILITIES

description: ABSTRACT The event of cyber security in critical infrastructures has aroused the interest and the worry of energy utilities, government, regulatory agencies, and consumers as well as of the academic and research institutions. If on one hand it is prominent the vulnerability of the cyberspace, which augments the risk of attacks in the organizational environment, on the other hand, the research leading to alternatives for the governance and management of these critical structures are still too incipient. This study aims at building a theoretical-empirical model of cyber security governance and management and testing it along with academic experts and professionals from the energy sector. By using the Delphi method and statistics techniques for validation, an assessment instrument was developed based on both the constructs: governance and management; and nine dimensions with their respective variables that allowed for an analysis of the situation of the Brazilian energy utilities regarding the protection of their cyberspaces. The contribution of the article reaches two fronts: a conceptual and empirical one as it expands and systematizes the knowledge about aspects of the governance and management of cyberspaces; and a methodological one as it proposes measuring those dimensions in energy utilities.
DOI: 10.6084/m9.figshare.5862291.v1
title: CYBER SECURITY GOVERNANCE AND MANAGEMENT FOR SMART GRIDS IN BRAZILIAN ENERGY UTILITIES

description: ABSTRACT The event of cyber security in critical infrastructures has aroused the interest and the worry of energy utilities, government, regulatory agencies, and consumers as well as of the academic and research institutions. If on one hand it is prominent the vulnerability of the cyberspace, which augments the risk of attacks in the organizational environment, on the other hand, the research leading to alternatives for the governance and management of these critical structures are still too incipient. This study aims at building a theoretical-empirical model of cyber security governance and management and testing it along with academic experts and professionals from the energy sector. By using the Delphi method and statistics techniques for validation, an assessment instrument was developed based on both the constructs: governance and management; and nine dimensions with their respective variables that allowed for an analysis of the situation of the Brazilian energy utilities regarding the protection of their cyberspaces. The contribution of the article reaches two fronts: a conceptual and empirical one as it expands and systematizes the knowledge about aspects of the governance and management of cyberspaces; and a methodological one as it proposes measuring those dimensions in energy utilities.
DOI: 10.6084/m9.figshare.5861454
title: ABSOLUTE POVERTY AND THE DESIRE TO EMANCIPATE COMMUNITIES DRIVING MOBILE COMMUNICATION FOR DEVELOPMENT (M4D) IN AFRICA

description: ABSTRACT In its opening remarks, The Economist declares emphatically that “Paying for a taxi ride using your mobile phone is easier in Nairobi than it is in New York”. There is no denying that Information and Communication Technology for Development (ICT4D) and its subset, Mobile Communication for Development (M4D) have contributed to developments in many societies. This is particularly more dominant and prevalent in developing countries than in the developed nations. This paper reviews reasons why ICT4D/M4D is viewed as more suitable for developing nations than for developed countries despite their technological advancements and higher mobile technology penetration. The conclusion from this review suggests that, absolute poverty and the desire to emancipate communities in developing countries are the driving force for innovation in ICT4D/M4D.
DOI: 10.6084/m9.figshare.5861454.v1
title: ABSOLUTE POVERTY AND THE DESIRE TO EMANCIPATE COMMUNITIES DRIVING MOBILE COMMUNICATION FOR DEVELOPMENT (M4D) IN AFRICA

description: ABSTRACT In its opening remarks, The Economist declares emphatically that “Paying for a taxi ride using your mobile phone is easier in Nairobi than it is in New York”. There is no denying that Information and Communication Technology for Development (ICT4D) and its subset, Mobile Communication for Development (M4D) have contributed to developments in many societies. This is particularly more dominant and prevalent in developing countries than in the developed nations. This paper reviews reasons why ICT4D/M4D is viewed as more suitable for developing nations than for developed countries despite their technological advancements and higher mobile technology penetration. The conclusion from this review suggests that, absolute poverty and the desire to emancipate communities in developing countries are the driving force for innovation in ICT4D/M4D.
DOI: 10.6084/m9.figshare.5861460
title: INTERNET OF THINGS-BASED PRODUCTS/SERVICES: PROCESS AND CHALLENGES ON DEVELOPING THE BUSINESS MODELS

description: ABSTRACT Many companies nowadays are struggling to understand the unprecedented complexity of developing business models for products and services based on the Internet of Things (IoT). This article aims at investigating what are the elements to be taken into account in order to create a business model for IoT-based products/services and what are the main challenges faced in this process. To address these questions, we review the literature on the creation of business models for the IoT and we analyze data from an action research involving the generation of a business model for an IoT-based product - a smart door lock - in a small company. We explore how this process occurred and the challenges faced.
DOI: 10.6084/m9.figshare.5861460.v1
title: INTERNET OF THINGS-BASED PRODUCTS/SERVICES: PROCESS AND CHALLENGES ON DEVELOPING THE BUSINESS MODELS

description: ABSTRACT Many companies nowadays are struggling to understand the unprecedented complexity of developing business models for products and services based on the Internet of Things (IoT). This article aims at investigating what are the elements to be taken into account in order to create a business model for IoT-based products/services and what are the main challenges faced in this process. To address these questions, we review the literature on the creation of business models for the IoT and we analyze data from an action research involving the generation of a business model for an IoT-based product - a smart door lock - in a small company. We explore how this process occurred and the challenges faced.
DOI: 10.6084/m9.figshare.5861661.v1
title: MODELOS DE AUDITORÍA CONTINUA: UNA PROPUESTA TAXONÓMICA

description: RESUMEN La Auditoría Continua es considerada por diversos autores como un nuevo paradigma de la Auditoría, y su materialización se logra a través de la incorporación de modelos y metodologías en la actividad diaria de la función Auditora. Este artículo, previa conceptualización de las principales características de la Auditoría Continua, presenta una propuesta taxonómica de los modelos de Auditoría Continua, para lo cual se realizará un análisis estructural de 30 modelos que han sido divulgados en el ámbito profesional y científico entre 1989 y 2014, arrojando como resultado una propuesta taxonómica basada en 3 categorías y 8 tipologías y un análisis de la orientación que han tenido los modelos de Auditoría Continua.
DOI: 10.6084/m9.figshare.5861661
title: MODELOS DE AUDITORÍA CONTINUA: UNA PROPUESTA TAXONÓMICA

description: RESUMEN La Auditoría Continua es considerada por diversos autores como un nuevo paradigma de la Auditoría, y su materialización se logra a través de la incorporación de modelos y metodologías en la actividad diaria de la función Auditora. Este artículo, previa conceptualización de las principales características de la Auditoría Continua, presenta una propuesta taxonómica de los modelos de Auditoría Continua, para lo cual se realizará un análisis estructural de 30 modelos que han sido divulgados en el ámbito profesional y científico entre 1989 y 2014, arrojando como resultado una propuesta taxonómica basada en 3 categorías y 8 tipologías y un análisis de la orientación que han tenido los modelos de Auditoría Continua.
DOI: 10.6084/m9.figshare.6388055
title: Methodology for The Development of an Ontology Network on The Brazilian National System for the Evaluation of higher Education (OntoSINAES)

description: ABSTRACT Ontologies occupy a central position in any conceptual model of the Semantic Web, aiming fundamentally to add explicit semantics to the contents available in the Web. In the domain of Brazilian higher education, especially with regard to the National System for the Evaluation of Higher Education (SINAES), still lacks a reference ontology that can provide a basic conceptualization common to the different stakeholders of the domain. In this work we discuss the role of an ontology network developed with the purpose of improving the quality of the data produced by the different actors, institutions and systems within the domain of SINAES, in addition to facilitating their publication as open and connected data. In particular, we highlight the importance of the NeOn methodology to be followed during the development of an ontology network, demonstrating its role in defining the life cycle and in the articulation of the various processes and activities in the OntoSINAES ontological network development process.