Business model typologies : review and critical analysis

Mestrado em Gestão e Estratégia IndustrialEsta dissertação apresenta uma análise crítica das principais tipologias de modelos de negócios encontrados na literatura. Para realizar tal análise, foi realizada uma revisão de literatura que funciona de duas maneiras: oferecer ao leitor a informação fundamental sobre modelos de negócios e, ao mesmo tempo, para orientar a análise das tipologias. Três vertentes principais da literatura (denominadas neste trabalho como a Tríade dos Modelos de Negócio) foram identificadas na revisão da literatura: E-business; Estratégia e Inovação. Em cada área foram identificadas diferentes tipologias utilizadas pelos académicos. Em seguida foi esclarecido quais poderiam ser suas contribuições e fraquezas, e, finalmente, foi sugerido um possível caminho para futuras pesquisas. Em conclusão, constatamos que é difícil construir uma tipologia exclusiva com a literatura atual, porque parece haver pouca fertilização cruzada entre as três áreas.This dissertation provides a critical analysis of the main typologies on business models found in the literature. In order to achieve such analysis, we conducted a literature review that works in two ways: offer the reader a background about business models and, at the same time, to guide the analysis of typologies. Three main streams of literature (named in this work as the Business Model Triad) were identified in literature review: E-business; Strategy; and Innovation. In each area were identified different typologies used by scholars. Then, it was clarified what could be their contributions and weaknesses, and finally it was suggested a possible path for future research. In conclusion, we found that is hard to construct a unique typology with the current literature, because there seems to be little cross-fertilisation amongst all three streams

Putting e-commerce to work: The Japanese convenience store case

Japanese convenience stores (CVS) are exploiting e- and m-commerce solutions different from, but relevant to, US practices. Seven-Eleven Japan, Lawson, and FamilyMart − three of the largest CVS − base their fundamental business models on increasing store traffic. Japanese reluctance to make credit card payments over the Internet or via telephones opened the way for CVS to provide third-party payment services, which required substantial IT infrastructure. Now they are leveraging this investment. In doing so, they are following a different e-commerce B2C model than is typical in the United States. Their approach incorporates heavy dependence on IT-based alliances (e-retsu), a range of services and products, and telematics (coupling detailed database management with the use of smart cell phones and sophisticated in-car communication and guidance systems) rather than PCs. This business-to-consumer (B2C) model is relevant to markets and market segments possessing similar characteristics

An information model for lean, agile, resilient and green supply chain management

Dissertação para a obtenção de Grau de Mestre em Engenharia e Gestão IndustrialIn modern business environments, an effective Supply Chain Management (SCM) is crucial to business continuity. In this context, Lean, Agile, Resilient and Green (LARG), are advocated as the fundamental paradigm for a competitive Supply Chain (SC) as a whole. In fact, competition between supply chains (SC) has replaced the traditional competition between companies. To make a supply chain more competitive, capable of responding to the demands of customers with agility, and capable of responding effectively to unexpected disturbance, in conjugation with environmental responsibilities, and the necessity to eliminate processes that add no value, companies must implement a set of LARG SCM practices and Key Performance Indicators (KPI) to measure their influence on the SC performance. However, the selection of the best LARG SCM practices and KPIs is a complex decision-making problem, involving dependencies and feedbacks. Still, any decision-making must be supported by real and transparent data. This dissertation intends to provide two integrated models to assist the information management and decision-making. The first is an information model to support a LARG SCM, allowing the exchange and storage of data/information through a single information platform. In this model three types of diagrams are developed, Business Process Diagram (BPD), Use Cases Diagram and Class Diagram to assist the information platform design. The second is a decision-making model, designated LARG Analytical Network Process (ANP) to select the best LARG SCM practices/KPI to be implemented in SCs. Both models are developed and validated within the automotive SC, namely in Volkswagen Autoeuropa

Building Blocks For Sustainable Enterprises

This research paper can be segmented into three parts. The first segment aims to understand the concept of sustainability by looking at the evolution of the definition over time, as well as relevant scientifically founded frameworks that explain the root causes that have generated our current unsustainable state of society. e second segment looks at stories of enterprises that have managed to successfully integrate sustainability into their business model to develop sustainable on-going operations that have bene ted all stakeholders involved equitably. The third segment is an initial assessment of the Peruvian alpaca wool sector to demonstrate some of the challenges entrepreneurs face to develop a sustainable enterprise, as well as probe applicability of the tools we developed from our work in the previous two segments. Findings from the first and second segments of this paper served as fundamental basis for the development of our output: The Bottom-up pyramid model, and the Sustainability guiding principles. The Bottom-up pyramid model visually represents our understanding of the required components to develop a sustainable enterprise from the ground up. The main takeaway of this representation is that a sustainable enterprise should be founded on knowledge from the incumbent community home to a natural resource, and that business development and growth should be bottom-up, taking into account community concerns and points of view. e Sustainability guiding principles are a list of guidelines entrepre- neurs can use to get a better understanding of some of the challenges they may face when attempting to develop a sustainable enterprise in a rural community. Ultimately, these instruments are aimed at providing guidance to leaders and entrepreneurs who want to establish business models with sustainable operations that do not compromise the long- term welfare of a natural resource and the community reliant on it. e last segment of this paper aims to probe the tools we developed to iterate their practicality and relevance with a contemporary real-world situation. We chose the alpaca wool sector in Peru because it is representative of the types of hurdles leaders could face when attempting to initiate a sustainable enterprise. Additionally, one of the team’s researchers had access to stakeholders in this sector, which provided primary research to complement and corroborate our literary review. is assessment is an initial step that needs further validation with more pragmatic information and on-site data for a more detailed analysis of the issues hindering specific communities in the Andes

An Improved Stock Price Prediction using Hybrid Market Indicators

In this paper the effect of hybrid market indicators is examined for an improved stock price prediction. The hybrid market indicators consist of technical, fundamental and expert opinion variables as input to artificial neural networks model. The empirical results obtained with published stock data of Dell and Nokia obtained from New York Stock Exchange shows that the proposed model can be effective to improve accuracy of stock price prediction

Forecasting the equity risk premium: The role of technical indicators

Ministry of Education, Singapore under its Academic Research Funding Tier

Uncovering predictability in the evolution of the WTI oil futures curve

Accurately forecasting the price of oil, the world's most actively traded commodity, is of great importance to both academics and practitioners. We contribute by proposing a functional time series based method to model and forecast oil futures. Our approach boasts a number of theoretical and practical advantages including effectively exploiting underlying process dynamics missed by classical discrete approaches. We evaluate the finite-sample performance against established benchmarks using a model confidence set test. A realistic out-of-sample exercise provides strong support for the adoption of our approach with it residing in the superior set of models in all considered instances.Comment: 28 pages, 4 figures, to appear in European Financial Managemen

Old controversy revisited: pricing, market structure, and competition

In this essay, I examine the connection between pricing, profit mark ups, competition, and economic activity from a heterodox perspective. These issues are examined utilizing a two-industry Burchardt-Kaleckian production model and a labor-based mark up pricing model; the conclusion reached is that market structure and competition have no fundamental role in affecting pricing, profit mark ups, or economic activity. However, it is generally perceived in heterodox economics that competition does play an important role in the economy. This theme is discussed in conjunction with the going business enterprise