Value creation and value claiming in strategic outsourcing decisions: A resource contingency perspective

This study integrates the concepts of value creation and value claiming into a theoretical framework that emphasizes the dependence of resource value maximization on value-claiming motivations in outsourcing decisions. To test this theoretical framework, it develops refutable implications to explain the firm's outsourcing decision, and it uses data from 178 firms in the publishing and printing industry on outsourcing of application services. The results show that in outsourcing decisions, resource value and transaction costs are simultaneously considered and that outsourcing decisions are dependent on alignment between resource and transaction attributes. The findings support a resource contingency view that highlights value-claiming mechanisms as resource contingency in interorganizational strategic decisions.

‘Towards a Concrete Utopian Model of Green Political Economy’

Much of the thinking about the appropriate ‘political economy’ to underpin sustainable development has been either utopian (as in some ‘green’ political views) or ‘business as usual’ approaches. This article suggests that ‘ecological modernisation’ is the dominant conceptualisation of ‘sustainable development’ within the UK and other ‘developed’ Northern polities and most corporate/business interests, and illustrates this by looking at some key ‘sustainable development’ policy documents from the UK Government. While critical of the reformist ‘policy telos’ of ecological modernisation, supporters of a more radical version of sustainable development need to also be aware of the strategic opportunities of this policy discourse. In particular, the article suggests that the discourse of ‘economic security’, which can be attached to a radicalised notion of ecological modernisation, ought to be used as a way of articulating a radical, robust and principled understanding of sustainable development, which offers a normatively compelling and policy-relevant path to outlining aspects of a ‘green political economy’ to underpin sustainable development.

A strategic review of electricity systems models

Electricity systems models are software tools used to manage electricity demand and the electricity systems, to trade electricity and for generation expansion planning purposes. Various portfolios and scenarios are modelled in order to compare the effects of decision making in policy and on business development plans in electricity systems so as to best advise governments and industry on the least cost economic and environmental approach to electricity supply, while maintaining a secure supply of sufficient quality electricity. The modelling techniques developed to study vertically integrated state monopolies are now applied in liberalised markets where the issues and constraints are more complex. This paper reviews the changing role of electricity systems modelling in a strategic manner, focussing on the modelling response to key developments, the move away from monopoly towards liberalised market regimes and the increasing complexity brought about by policy targets for renewable energy and emissions. The paper provides an overview of electricity systems modelling techniques, discusses a number of key proprietary electricity systems models used in the USA and Europe and provides an information resource to the electricity analyst not currently readily available in the literature on the choice of model to investigate different aspects of the electricity system.

Testing a model for developing, implementing and evaluating a strategy to improve the quality of nursing and midwifery care in an acute hospital trust.

Abstract:
Background: Health care organisations
worldwide are faced with the need to develop
and implement strategic organisational plans
to meet the challenges of modern health care.
There is a need for models for developing, implementing and evaluating strategic plans that engage practitioners, and make a measurable difference to the patients that they serve. These presentations describe the development, implementation and evaluation of such a model by a team of senior nurses and practice developers, to underpin a strategy for nursing and midwifery in an acute hospital trust. Developing a Strategy The PARIHS (Promoting Action on Research Implementation in Health Services) conceptual framework (Kitson et al, 1998) proposes that successful implementation of change in practice is a function of the interplay of three core elements: the level of evidence supporting the proposed change; the context or environment in which the change takes place, and the way in which change is facilitated. We chose to draw on this framework to develop our strategy and implementation plan (O’Halloran, Martin and Connolly, 2005). At the centre of the plan are ward managers. These professionals provide leadership for the majority of staff in the trust and so were seen to be a key group in the implementation process.

Palynostratigraphic alignment chronology versus independent dating methods. 14C, OSL and tephra: an example from Lake Fimon, northern Italy

New independent dating evidence is presented for a lacustrine record for which an age-depth model had already been derived through the interpretation of the pollen signal. Quartz OSL ages support radiocarbon ages that were previously considered to suffer an underestimation due to contamination, and imply a younger chronology for the core. The successful identification of the Campanian Ignimbrite as a cryptotephra within the core also validates this younger chronology, as well as extending the known geographical range of this tephra layer within Italy. These new results suggest that care should always be taken when building chronologies from proxy records that are correlated to the tuned records from which the global signal is often derived (i.e. double tuning). We do not offer this as the definitive chronology for Lake Fimon, but multiple lines of dating evidence show that there is sufficient reason to seriously consider it. The Quaternary dating community should always have all age information available, even when significant temporal offsets are apparent between various lines of evidence to be: 1) better informed when they face similar dilemmas in the future and 2) allow multiple working hypotheses to be considered.

Strategic behaviour in choice experiments.

Practitioners of environmental economics sometimes use repeated trinary choice experiment surveys to estimate the value of environmental policies and programs for use in policy evaluation. These surveys have several advantages over simpler forms of non-market valuation: (1) researchers can estimate the marginal value of attributes of the good or service in question, making the results useful for benefits transfer; and (2) because respondents make several choices and choose from choice sets containing three options, efficiency of the willingness to pay estimate is improved over one-shot, binary choice formats. Despite these benefits, such surveys may have incentive properties which cause the resulting value estimates to be biased. This paper presents a theoretical demonstration that subjects often have an incentive to choose the second-best option in a repeated trinary choice survey. The model shows that due to the nature of factorial choice set design, the second-best option in the choice set will often be the status quo option. The paper reports a set of experiments designed to test these theoretical predictions in an induced-value setting. The experimental results are consistent with the theoretical predictions, demonstrating that repeated trinary choice experiment surveys can generate biased value estimates under a wide range of conditions.

Strategic management in the Telecom industry to create competitive advantage

O presente trabalho teve por objetivos a identificação de uma estratégia e o desenvolvimento de um modelo que permita às operadoras de telecomunicações a sua sustentabilidade, bem como a identificação de caminhos para a adaptação a uma realidade sempre em mudança como é a da indústria das telecomunicações. Numa primeira parte do trabalho elaborou-se uma revisão de literatura do atual estado da arte das principais estratégias relevantes e com aplicação à indústria de telecomunicações. A pesquisa realizada investigou a estrutura atual da indústria de telecomunicações e o estado da competitividade das operadoras de telecomunicações. Dos resultados desta foi possível constatar uma evolução constante da tecnologia e dos modelos de negócio neste ecossistema, assim como a presença de uma pressão concorrencial significativa exercida sobre as operadoras, quer por parte das empresas já existentes no mercado quer por parte das emergentes. As operadoras têm de transformar o seu modelo de rede e de negócios para se adaptarem às mudanças e às tendências da indústria e do mercado. Com base na revisão de literatura, elegeu-se a metodologia baseada num inquérito de pesquisa empírica para aferir o estado da indústria e derivar as estratégias possíveis. Este inquérito foi efetuado a especialistas da área de telecomunicações de diferentes subsectores e países para abordar todos os elementos estratégicos do modelo de negócio futuro. Os resultados da pesquisa revelaram que as empresas que operam no mercado da Internet (Over The Top - OTT) representam a maior ameaça sobre o futuro dos operadores de telecomunicações. Os operadores só vão conseguir responder através da modernização de sua rede, melhorando a qualidade, reduzindo o custo global, e investindo em produtos inovadores e diferenciados e em serviços. Os resultados do inquérito revelam-se de acordo com os pressupostos da Blue Ocean Strategy. A aplicabilidade da Blue Ocean Strategy foi aprofundada permitindo concluir que o valor inovador obtido simultaneamente através da redução de custos e da diferenciação permitem aumentar as vantagens dos operadores existentes em termos das infra-estruturas físicas detidas e das relações estabelecidas com os clientes. O caso particular da fibra óptica até casa (FTTH) foi considerado como aplicação da Blue Ocean Strategy a uma nova tecnologia que as operadoras podem implementar para criar novas soluções e abrir segmentos de mercado inexplorados. Os resultados do inquérito e da investigação realizada à aplicação da Blue Ocean Strategy foram combinados para propor um novo modelo de negócio para as operadoras de telecomunicações que lhes permite, não só responder aos desafios existentes, mas, também, ter uma melhor posição competitiva no futuro. Foi, ainda, realizado um estudo de caso que destacou como a Verizon Communications foi capaz de transformar a sua rede e o modelo de negócio em resposta ao aumento da pressão competitiva. Através do valor da inovação transferida aos seus clientes, a Verizon foi capaz de aumentar significativamente as suas receitas e satisfação do cliente.

Enterprise architecture model: an approach proposition. A case study of information systems in the hospitality industry

This paper discusses the role of enterprise architecture representation, in the context of ERP (Enterprise Resource Planning) information systems, as an instrument for an organization to reflect on itself and develop its business strategies and respective alignment with Information Systems. The paper proposes a representation model of enterprise architecture, as a tool for recommending good practices, and it emerges from a case study undertaken in the context of and investigation on advantages and limitations of ERP systems in the hospitality industry. The proposed approach is also inspired on other academic or market propositions suitable for the objectives of the investigation. It consists on a set of items representing the steps that must be taken by top managers and IS managers.

Production systems and supplier selection: a multi-phase process model

Purpose: This paper presents a combined multi-phase supplier selection model. The process repeatedly revisits the criteria and sourcing decision as the development process continues. This enables a structured adoption of product and production system innovation from strategic suppliers, where previously the literature purely focuses on product innovation or cost reduction. Design/methodology/approach: The authors adopted an embedded researcher style, inductive, qualitative case study of an industrial supply cluster comprising a focal automotive company and its interaction with three different strategic stamping suppliers. Findings: Our contribution is the multi-phased production and product innovation process. This is an advance from traditional supplier selection and also an extension of ideas of supplier-located product development as it includes production system development, and complements the literature on working with strategic suppliers. Specifically, we explicitly articulate the previously unreported issue of whether a supplier chosen for its innovation capabilities at the start of the new product development process will also be the most appropriate supplier during the production system development phase, when an ability to work collaboratively may be the most important attribute, or in the large-scale production phase when an ability to manufacture at low unit cost may be most important. Originality/value: The paper identifies a multi-phase approach to tendering within a fixed body of strategic suppliers which seeks to identify the optimum technological and process decisions as well as the traditional supplier sourcing choice. These areas have not been combined before and generate a valuable approach for firms to adopt as well as for researchers to extend our understanding of a highly complex process.

MASCEM: electricity markets simulation with strategic agents

Electricity markets are complex environments, involving numerous entities trying to obtain the best advantages and profits while limited by power-network characteristics and constraints.1 The restructuring and consequent deregulation of electricity markets introduced a new economic dimension to the power industry. Some observers have criticized the restructuring process, however, because it has failed to improve market efficiency and has complicated the assurance of reliability and fairness of operations. To study and understand this type of market, we developed the Multiagent Simulator of Competitive Electricity Markets (MASCEM) platform based on multiagent simulation. The MASCEM multiagent model includes players with strategies for bid definition, acting in forward, day-ahead, and balancing markets and considering both simple and complex bids. Our goal with MASCEM was to simulate as many market models and player types as possible. This approach makes MASCEM both a short- and mediumterm simulation as well as a tool to support long-term decisions, such as those taken by regulators. This article proposes a new methodology integrated in MASCEM for bid definition in electricity markets. This methodology uses reinforcement learning algorithms to let players perceive changes in the environment, thus helping them react to the dynamic environment and adapt their bids accordingly.

Price forecasting in the day-ahead Iberian electricity market using a conjectural variations Arima model

Price forecast is a matter of concern for all participants in electricity markets, from suppliers to consumers through policy makers, which are interested in the accurate forecast of day-ahead electricity prices either for better decisions making or for an improved evaluation of the effectiveness of market rules and structure. This paper describes a methodology to forecast market prices in an electricity market using an ARIMA model applied to the conjectural variations of the firms acting in an electricity market. This methodology is applied to the Iberian electricity market to forecast market prices in the 24 hours of a working day. The methodology was then compared with two other methodologies, one called naive and the other a direct forecast of market prices using also an ARIMA model. Results show that the conjectural variations price forecast performs better than the naive and that it performs slightly better than the direct price forecast.

Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market

The deregulation of electricity markets has diversified the range of financial transaction modes between independent system operator (ISO), generation companies (GENCO) and load-serving entities (LSE) as the main interacting players of a day-ahead market (DAM). LSEs sell electricity to end-users and retail customers. The LSE that owns distributed generation (DG) or energy storage units can supply part of its serving loads when the nodal price of electricity rises. This opportunity stimulates them to have storage or generation facilities at the buses with higher locational marginal prices (LMP). The short-term advantage of this model is reducing the risk of financial losses for LSEs in DAMs and its long-term benefit for the LSEs and the whole system is market power mitigation by virtually increasing the price elasticity of demand. This model also enables the LSEs to manage the financial risks with a stochastic programming framework.

Strategic Bidding in Electricity Markets: An agent-based simulator with game theory for scenario analysis

Electricity markets are complex environments, involving a large number of different entities, with specific characteristics and objectives, making their decisions and interacting in a dynamic scene. Game-theory has been widely used to support decisions in competitive environments; therefore its application in electricity markets can prove to be a high potential tool. This paper proposes a new scenario analysis algorithm, which includes the application of game-theory, to evaluate and preview different scenarios and provide players with the ability to strategically react in order to exhibit the behavior that better fits their objectives. This model includes forecasts of competitor players’ actions, to build models of their behavior, in order to define the most probable expected scenarios. Once the scenarios are defined, game theory is applied to support the choice of the action to be performed. Our use of game theory is intended for supporting one specific agent and not for achieving the equilibrium in the market. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. The scenario analysis algorithm has been tested within MASCEM and our experimental findings with a case study based on real data from the Iberian Electricity Market are presented and discussed.

Strategic trade policy and signaling costs with differentiated goods

We consider a trade policy model, where the costs of the home firm are private information but can be signaled through the output levels of the firm to a foreign competitor and a home policymaker. We compute the separating equilibrium and the Bayesian Nash equilibrium, and we compare the subsidies, firms’ expected profits and home government’s welfare in both equilibria, for different values of the own price effect parameter.

Business model analysis of Mobitto: How to solve the chicken and egg problem of a multi-sided platform?

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics