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Article
Publication date: 23 January 2024

Mar Cárdenas-Muñoz, Luis Rubio-Andrada and Mónica Segovia-Pérez

The purpose of this research is to determine key behaviours to be efficient in identifying and developing employees' talent. The article aims to address the relationship between…

Abstract

Purpose

The purpose of this research is to determine key behaviours to be efficient in identifying and developing employees' talent. The article aims to address the relationship between learning agility and job crafting, the influence between them, and how this relationship is built to improve performance and adaptability. For this purpose, the research has analysed which behaviours obtain the highest scores in both scales (job crafting and learning agility), designing the tool which allows Human Resources (HR) professionals an efficient identification and development behaviours to get the versatile talent that companies and professionals of the future need.

Design/methodology/approach

Using the questionnaire that has integrated the learning agility scale and the Spanish job crafting scale. Data were collected from a sample of business professionals in Spain. Factor analysis and hierarchical cluster analysis were used, using a classificatory variable with the 126 valid responses obtained.

Findings

In an ever-changing environment, continuous employee adaptation to his/her role within a company is a critical factor for its survival. However, there is a paucity of large-scale empirical research on which behaviours employees have to develop to increase their adaptative skills. Drawing on the outcome of extant literature, the authors identify learning agility as the construct that firms have to encourage in their employees to impact job crafting. The contribution of the paper is twofold: (1) the authors empirically explored the association and the effects of learning agility and its factor on the development of job crafting. Results demonstrated the association between the two constructs; further, higher scores in both learning agility and job crafting predict increased employability, and higher scores in job crafting are associated with higher scores in change agility; (2) this study provides a multidimensional instrument that provides HR departments with the key behaviours to recruit in order to develop talent to prepare employees to face future challenges, ensuring the right performance and sustainable impact in the environment.

Research limitations/implications

A limitation of this study is that it is done exclusively within Spanish companies, even though from different industries and with different characteristics. Therefore, future research is necessary and should be conducted in other countries in similar industries to explore the empirical findings from this study in additional contexts.

Practical implications

This research has found a tool that might allow HR departments to measure what level of job crafting and learning agility their employees have and to identify what key behaviours they need to focus on in the recruitment or in their internal strategic HR action plan to overcome any future challenges in their organization.

Social implications

In a scenario where artificial intelligence is modifying the professional landscape, generating uncertainty about which skills are best to develop, the results are a guide for enterprises as to where to focus plans for learning and training, as well as for business schools regarding the content provided in training programs.

Originality/value

The authors advance the literature by providing a theoretical base for understanding the relationship between job crafting and learning agility. This article offers some practical managerial recommendations that help the human resources department focus on behaviours that allow talent to be identified and recruited to ensure an effective organization.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 28 September 2023

Álvaro Rodríguez-Sanz and Luis Rubio-Andrada

An important and challenging question for air transportation regulators and airport operators is the definition and specification of airport capacity. Annual capacity is used for…

Abstract

Purpose

An important and challenging question for air transportation regulators and airport operators is the definition and specification of airport capacity. Annual capacity is used for long-term planning purposes as a degree of available service volume, but it poses several inefficiencies when measuring the true throughput of the system because of seasonal and daily variations of traffic. Instead, airport throughput is calculated or estimated for a short period of time, usually one hour. This brings about a mismatch: air traffic forecasts typically yield annual volumes, whereas capacity is measured on hourly figures. To manage the right balance between airport capacity and demand, annual traffic volumes must be converted into design hour volumes, so that they can be compared with the true throughput of the system. This comparison is a cornerstone in planning new airport infrastructures, as design-period parameters are important for airport planners in anticipating where and when congestion occurs. Although the design hour for airport traffic has historically had a number of definitions, it is necessary to improve the way air traffic design hours are selected. This study aims to provide an empirical analysis of airport capacity and demand, specifically focusing on insights related to air traffic design hours and the relationship between capacity and delay.

Design/methodology/approach

By reviewing the empirical relationships between hourly and annual air traffic volumes and between practical capacity and delay at 50 European airports during the period 2004–2021, this paper discusses the problem of defining a suitable peak hour for capacity evaluation purposes. The authors use information from several data sources, including EUROCONTROL, ACI and OAG. This study provides functional links between design hours and annual volumes for different airport clusters. Additionally, the authors appraise different daily traffic distribution patterns and their variation by hour of the day.

Findings

The clustering of airports with respect to their capacity, operational and traffic characteristics allows us to discover functional relationships between annual traffic and the percentage of traffic in the design hour. These relationships help the authors to propose empirical methods to derive expected traffic in design hours from annual volumes. The main conclusion is that the percentage of total annual traffic that is concentrated at the design hour maintains a predictable behavior through a “potential” adjustment with respect to the volume of annual traffic. Moreover, the authors provide an experimental link between capacity and delay so that peak hour figures can be related to factors that describe the quality of traffic operations.

Originality/value

The functional relationships between hourly and annual air traffic volumes and between capacity and delay, can be used to properly assess airport expansion projects or to optimize resource allocation tasks. This study offers new evidence on the nature of airport capacity and the dynamics of air traffic design hours and delay.

Details

Aircraft Engineering and Aerospace Technology, vol. 96 no. 1
Type: Research Article
ISSN: 1748-8842

Keywords

Article
Publication date: 4 December 2017

Manuel Ramón Tejeiro Koller, Patricio Morcillo Ortega, José Miguel Rodríguez Antón and Luís Rubio Andrada

The purpose of this paper is to analyze how firms can enhance their innovative capabilities and become more resilient. The current business environment requires a specific type of…

Abstract

Purpose

The purpose of this paper is to analyze how firms can enhance their innovative capabilities and become more resilient. The current business environment requires a specific type of management for companies to remain competitive and innovation plays a key role in this respect. However, this means that a particular kind of corporate culture must promote innovation in the firm. This innovation culture is likely to be present in innovative companies that have survived in the long term (at least 50 years) and be the source of an adaptive advantage.

Design/methodology/approach

Using innovative Spanish firms, which were established at least 50 years ago, an exploratory factorial analysis was conducted to verify the existence of an innovation culture. Thereafter, a cluster analysis was undertaken to study differences in performance to be able to detect and identify their adaptive advantage.

Findings

The findings offer a detailed profile of old and innovative firms created in Spain. Results show that most of the studied firms (88 per cent) have an innovation culture. Furthermore, two separate groups were identified, in which one showed higher profitability and a lower adjustment to an innovation culture, while the other showed the reverse results. This suggests that innovation culture helps companies be more resilient but does not necessarily lead to higher returns.

Practical implications

Corporate culture is identified as a useful management tool in the search for more resilient enterprises. Specific cultural traits are recommended and a benchmarking tool is applied and made available upon request.

Originality/value

Although there are a number of studies which consider the concept of adaptive advantage and resilience on the one side, and on corporate innovation culture on the other, this paper seems to be the first to empirically explore the relationship of both these concepts.

Details

International Journal of Innovation Science, vol. 9 no. 4
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 23 May 2022

Álvaro Rodríguez-Sanz and Luis Rubio-Andrada

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Aircraft Engineering and Aerospace Technology, vol. 94 no. 9
Type: Research Article
ISSN: 1748-8842

Keywords

Article
Publication date: 10 August 2015

José Luis Sánchez-Ollero, Alejandro García-Pozo and Macarena Marchante-Lara

– The purpose of this study was to evaluate the impact of quality certifications on apparent labour productivity in a sample of hotels in Spain.

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Abstract

Purpose

The purpose of this study was to evaluate the impact of quality certifications on apparent labour productivity in a sample of hotels in Spain.

Design/methodology/approach

In line with Mairesse and Kremp (1993), the theoretical model was based on a Cobb–Douglas production function readapted to the goals of the study.

Findings

The descriptive results show that labour productivity increases only when certifications and quality standards specific to the hospitality industry are implemented and the tourist destination is committed to quality. The econometric analysis shows that the hotel category, belonging to a chain, and outsourcing services have a positive impact on labour productivity. In contrast, the location of the establishment in areas other than the coast or the capital city of a province has a negative effect on labour productivity. Of the quality models and certifications studied, only the Spanish Q-Mark certificate significantly improves hotel productivity (an average increase of 23.27 per cent).

Practical implications

These results provide support for the Spanish Tourism Quality System implemented by the Spanish Ministry of Tourism, which has not only attempted to increase the quality of tourism hotels by increasing their competitiveness and performance but also by providing them with a quality certificate that can be used as a marketing strategy in international markets.

Originality/value

The main contribution of this study is to show how the adoption of quality standards and certifications increases or decreases labour productivity in hotels. Given that most of the previous literature has only taken into account quantities, this study adds to the literature by incorporating the concept of quality into productivity issues.

Details

International Journal of Contemporary Hospitality Management, vol. 27 no. 6
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 21 July 2022

Yu Shi and Kuen-Hung Tsai

This study develops a sequential process model to address how to improve firm performance by responding to external stakeholder pressures in service contexts.

Abstract

Purpose

This study develops a sequential process model to address how to improve firm performance by responding to external stakeholder pressures in service contexts.

Design/methodology/approach

The model posits that external stakeholder pressures affect firm performance through organizational learning, green creativity and environmental performance. Data from 219 service firms are utilized to test the hypotheses. A sequential mediation approach is adopted to analyze the model.

Findings

Results reveal (1) organizational learning mediates the effects of government, customer and supplier pressures on firm performance, (2) environmental performance mediates the effect of customer pressure on firm performance, (3) organizational learning and green creativity serially mediate the effects of the three stakeholder pressures on firm performance and (4) the three external stakeholder pressures enhance firm performance through organizational learning, green creativity and environmental performance in a sequential manner.

Originality/value

This study originally contributes to the service literature by providing a sequential process lens to address how to improve performance by responding to external stakeholder pressures.

Details

Journal of Service Theory and Practice, vol. 32 no. 5
Type: Research Article
ISSN: 2055-6225

Keywords

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