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This paper investigates the framing and redefinition of innovation challenges as an approach to generate creative solutions in the field of project management.

The study applies the Innovation Challenge Canvas (ICC), a new conceptual model that redefines innovation challenges. The research undertakes a review of the literature in the field of project management, followed by seven in-depth interviews with innovation directors to ascertain the professional view. Finally, usefulness of ICC was tested in three case studies.

An innovative approach focusing on redefining a challenge instead of proposing solutions to a problem fosters creative thinking and encourages innovative proposals. This ideation challenges the organization's traditional way of managing innovation projects. The ICC provides a better means by which to manage projects that embody high uncertainty, while helping to generate more innovative solutions.

The review of the literature shows that project management has given little attention to the redefining of innovation challenges. This study aims to fill this gap by orienting and adapting the traditional literature on framing to project management. From a practical point of view, the ICC is proposed as a model that can be used to consider the most relevant elements needed to redefine an innovation challenge and enhance the management of those projects.

This paper aims to propose a methodology for assessing an optimal portfolio of investment instruments that minimise the social costs of decarbonising economic activity while improving the environmental objectives proposed in EU legislation.

The methodology defines the net social cost of decarbonisation related to a portfolio of four instruments: installation of solar PV and wind generation, thermal insulation of households and deployment of heat pumps. The social cost is minimised by restricting it to the minimum level of the targets proposed in the Spanish National Energy and Climate Plan to reduce greenhouse gas emissions, increase generation from renewable sources and reduce energy consumption. The empirical approach also includes differences between regions according to the expected effect for instruments.

The application of this methodology to the environmental objectives defined in the current Spanish National Energy and Climate Plan for 2030 concludes that it is clearly possible to reduce the social cost of decarbonisation while improving environmental performance through a reorientation of investment instruments. In this case, such a reorientation would be based on a minimisation of efforts in thermal insulation of households and a maximisation of measures aimed at the installation of heat pumps.

The paper proposes a novel methodology for a social cost assessment that improves the allocation of a portfolio of environmental instruments. This portfolio could be extended in further work to include instruments related to transport or support for industrial decarbonisation, such as the deployment of renewable hydrogen, among others.

Efficiency in retailing companies is mandatory for survival. Literature acknowledges external factors impact on efficiency. However, this impact remains understudied, as previous research typically focuses on managerial decisions. The purpose of this paper is to partially fill this gap by exploring the influence of external factors on retailers’ efficiency.

This research simultaneously measures retail efficiency and evaluates the impact of six potential drivers by applying bootstrap techniques in a sample of 25 European Union countries during the period 2006–2015.

The efficiency of the retail system in the countries under analysis evolves at different paces during the observation period. This evolution can be explained by country population density, average store size within countries, foreign trade ratio, concentration, economic freedom and percentage of urban population.

This research does not account for supply and demand restrictions that might affect retailers’ efficiency, as well as other variables that influence their production process.

This paper might help retail managers to comprehend and manage their companies’ efficiency. Furthermore, it provides clues to evaluate market attractiveness in retailers’ international expansion strategies.

Policy makers can facilitate retailers’ efficiency through regulations on external variables that influence retailers’ performance, namely economic freedom and foreign trade ratio.

For the first time, this study analyses the impact of external factors on retail services efficiency across countries.

The purpose of this paper is to investigate the competitive position of the company Inditex in the period 1990-2013 as a case study, identified by academics and professionals as a successful company. The analysis has focussed on the comparison of Inditex with its competitive environment.

The methodology used to achieve the objectives was: data envelopment analysis for the analysis of efficiency and for the second the Tobit regression to determine the factors explaining efficiency. The authors have used additional methodologies such as social networks or cluster analysis.

The individual company analysis reveals that the average efficiency level by years for the period 1990-2013, is relatively high 88.8 percent. The determinants of efficiency have been; the resources of the company in terms of assets whose relationship with is U-shaped curvilinear, where the minimum value (trend change) is produced between years 2002 and 2003. The degree of internationalization of the firm, is positively related to efficiency. As the company increases its expansion, experience and skills, increases efficiency. Finally, the effect of liberalization of textile trade in 2005 had no influence on the efficiency levels.

The limitations involving the methodology, in terms of representativeness, possible generalizations and type of secondary information used, can be offset by the ability to provide good vision and establish alternatives for possible studies.

This paper contributes to the fast-fashion retail industry literature by emphasizing the importance of the case study.

The purpose of this paper is to examine the firm efficiency or technical efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE) in the selected developed and developing Asia-Pacific countries.

The sample consists of a sum of 700 firms in selected developed and developing Asia-Pacific countries over the period from 2009 to 2015. The non-parametric data envelopment analysis under the production approach is used to investigate firm efficiency.

On average, this paper discovers that the firms in selected Asia-Pacific countries are moderately efficient. Scale inefficiency (SIE) is found to be the dominant source of firms’ technical inefficiency. The analysis of return to scale shows that the large firms tend to operate at decreasing return to scale level, while the small firms tend to operate at increasing return to scale level.

The findings from this paper provide significant insights to the policy makers and firm managers in promoting the efficient firms of Asia-Pacific countries.

The present paper conducts a critical analysis on return to scale in the firms sector of Asia-Pacific context, which is ignored by the past studies on firm efficiency since the analysis of return to scale is mostly emphasized on banking sector. The precise nature of SIE is important for a firm to be efficient in achieving the firm’s primary goals of profit maximization and sustaining market competitiveness.

The purpose of this paper is to develop a new model allowing the implementation of a benchmarking process that jointly measure the efficiency of franchise chains and determine their optimal organizational form.

The methodology is based on a non-econometric technique developed by management scientists on economic concepts for evaluating the performance of decision-making units and implementing a benchmarking process. An extended model is developed in the paper for evaluating the efficiency and determining the optimal percentage of company-owned outlets (PCO) of each franchise chain.

First, results showed that the PCO has a positive impact on franchise chain efficiency; even if other chain characteristics have a larger impact. Second, the optimization of the PCO allows for additional improvements in efficiency.

Even though this study has some limitations (e.g. sample and variable selection), it contributes to the literature on franchising by providing an approach allowing us to answer to the question of Shane (1998) on the optimal proportion of franchised units given other firm characteristics.

By developing a model that allows for the joint evaluation of franchise chain efficiency and optimal PCO, this study offers to franchisors a new benchmarking process allowing for both a competitive and functional benchmarking.

The originality of this research can be found in the new model developed for allowing a benchmarking of franchise chains that allows an evaluation of efficiency jointly with a determination of their optimal organizational form.

This paper aims to investigate the impact of acquisition and organic growth on the operating efficiency and total factor productivity change of retailing networks.

The assessment uses low-frequency data of newly opened stores and acquired stores of a large supermarket (S/M) network in Athens, for a period (financial year 2014) where the network began to refocus on its organic growth after a two-year period of deep recession (financial years 2012–2013). To evaluate the performance effects of both strategies, the authors employ the innovative benchmarking tool of bootstrap data envelopment analysis (DEA) for measuring operational efficiency and the Malmquist productivity index DEA approach for measuring productivity change over time.

The short-run evidence indicates that compared to organic growth, acquisitions lead to lower operating efficiency. However, this difference gradually converges over time as acquired stores show a higher rate of productivity compared to newly opened stores. The authors interpret this as a result of the smooth integration of the acquired chain store into the organizational structure of the existing store network given their significant similarities in terms of products and customers.

The authors inform managers of store chains that during the process of organic growth, a general improvement in efficiency takes place while in the case of acquisitions, the required post-acquisition streamlining actions cause a short delay on the realization of efficiency gains. Therefore, managers should not take it for granted that acquisitions cause a long-term decrease in efficiency.

The study contributes to the literature on growth strategies and retailing performance in general, by offering new evidence regarding the comparative effect of the horizontal growth modes on the efficiency of store chains.

The purpose of this paper is to quantify to what extent the housing bubble in the early-to-mid 2000s in Spain exacerbated land planning corruption among Spain’s largest municipalities.

The authors exploit plausibly exogenous variation in housing prices induced by changes in local mortgage market conditions; namely, the rapid expansion of savings banks (Cajas de Ahorros). Accounting for electoral competition in the 2003–2007 and 2007–2009 electoral cycles among Spanish municipalities larger than 25,000 inhabitants, the authors estimate a positive relationship between housing prices and land planning corruption in municipalities with variation in savings bank establishments using instrumental variables techniques.

A 1% increase in housing prices leads to a 3.9% points increase in the probability of land planning corruption. Moreover, absolute majority governments (not needing other parties’ support) are more susceptible to the incidence of corruption than non-majority ones. Two policy implications to address corruption emerge: enhance electoral competition and increase scrutiny over land planning decisions in sparsely populated.

First empirical evidence of a formal link between the 2000s housing bubble in Spain and land planning corruption.

Airport capacity constraints lead to operational congestion and delays, which have become major threats to the aviation industry. They impose large costs on airlines and their passengers. Uncertainty in demand or unexpected events can cause a mismatch between capacity and demand, resulting in either capacity oversupply, with a decrease in efficiency, or airport congestion over an extended period. Moreover, airport capacity is rather difficult to define due to its multifaceted and dynamic nature, and it depends both on the available infrastructure and on operating procedures. Additionally, traditional capacity management methods do not consider relevant behavioral economic challenges to conventional analysis, particularly failure of the expected utility hypotheses and dependence of valuations on reference points. This study aims to develop a preliminary framework to include economic concepts when evaluating expansions of airport capacity.

This paper reviews major opportunities in airport demand and capacity management from an economic perspective while appraising the challenges involved in airport capacity expansion processes that have not been fully completely in past studies. Although welfare economics provides the conceptual foundations for demand/capacity analyses, the authors integrate the findings regarding capacity definition, uncertainty management and behavioral economics into standard economics to guide the measurement of the airport capacity expansion problem.

The authors obtain several insights regarding airport capacity and demand management. First, airport capacity is a complex metric when evaluating airport expansion, and it depends both on the available infrastructure and on operating procedures. Furthermore, airport throughput is highly conditioned by factors that shape capacity and delay and shows significant variability when these factors are modified. Second, a marginal change in capacity at congested airports may have a great impact on demand distribution, airline competition, aircraft types, fares, operating revenues, route map and other characteristics of a given airport. Behavior after capacity expansion is highly reliant on the slot allocation models. Additionally, overall social welfare is usually affected after changes in infrastructure in terms of increased connectivity, economic benefits and negative externalities, including noise and local pollution. Third, on-time performance is clearly nonlinear, and thus sensitive to variations in demand and capacity. Finally, airport capacity and demand management involve a trade-off between mitigating congestion and maximizing capacity utilization, so decision-making tools are required to support and enhance policy and managerial choices. Three main challenges arise when developing new methods for evaluating airport expansions: the definition of capacity, the management of uncertainty in demand and the need to consider economic concepts.

This paper explores and produces an in-depth understanding of the problem of airport capacity and demand balance. The authors propose a preliminary framework that considers the challenges that have been previously identified and that, particularly, provides an economic perspective for airport capacity expansion processes. This framework is completed with a theoretical model to help policymakers and airport operators when faced with a capacity development decision.

IEEE Ontologies for Robotics and Automation Working Group were divided into subgroups that were in charge of studying industrial robotics, service robotics and autonomous robotics. This paper aims to present the work in-progress developed by the autonomous robotics (AuR) subgroup. This group aims to extend the core ontology for robotics and automation to represent more specific concepts and axioms that are commonly used in autonomous robots.

For autonomous robots, various concepts for aerial robots, underwater robots and ground robots are described. Components of an autonomous system are defined, such as robotic platforms, actuators, sensors, control, state estimation, path planning, perception and decision-making.

AuR has identified the core concepts and domains needed to create an ontology for autonomous robots.

AuR targets to create a standard ontology to represent the knowledge and reasoning needed to create autonomous systems that comprise robots that can operate in the air, ground and underwater environments. The concepts in the developed ontology will endow a robot with autonomy, that is, endow robots with the ability to perform desired tasks in unstructured environments without continuous explicit human guidance.

Creating a standard for knowledge representation and reasoning in autonomous robotics will have a significant impact on all R&A domains, such as on the knowledge transmission among agents, including autonomous robots and humans. This tends to facilitate the communication among them and also provide reasoning capabilities involving the knowledge of all elements using the ontology. This will result in improved autonomy of autonomous systems. The autonomy will have considerable impact on how robots interact with humans. As a result, the use of robots will further benefit our society. Many tedious tasks that currently can only be performed by humans will be performed by robots, which will further improve the quality of life. To the best of the authors’knowledge, AuR is the first group that adopts a systematic approach to develop ontologies consisting of specific concepts and axioms that are commonly used in autonomous robots.