Prioritisation of performance indicators in air cargo demand management: an insight from industry

May, Alexander R.; Anslow, Adrian; Wu, Yue; Ojiako, Udechukwu; Chipulu, Maxwell; Marshall, Alasdair

doi:10.1108/scm-07-2013-0230

Cited by 11 publications

(7 citation statements)

References 21 publications

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“…Recent publications by Janes and Faganel (2013), Flipse et al (2013), Dombrowski, Schmidtchen, and Ebentreich (2013), May et al (2014), Sánchez (2014) and Galar, Berges, Sandborn, and Kumar (2014) are some of the latest examples that address KPIs and show this subject is being widely explored by the scientific community today.…”

Section: Baldrigementioning

confidence: 98%

Organizational performance evaluation in intangible criteria: a model based on knowledge management and innovation management

Dickel

Moura

2016

RAI Revista de Administração e Inovação

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Today innovation and knowledge management are determining factors for success and continuity of organizations. However, because they are considered intangibles, their measurement becomes a challenge. Therefore, this study aimed to develop a model to measure organizational performance with a focus on knowledge management and innovation management. To be able to do that, we used a quantitative research study, characterized as a multi-case study applied to three companies in the metal-mechanic sector in southern Brazil. The methodology uses the assumptions of well-known methods such as the Key Performance Indicators, the Swing Weighting and Simple Attribute Rating Technique. With the results, it could be seen that the proposed model can be an effective tool for assessing organizational performance and that, in its application, the surveyed organizations could already identify their main weaknesses and use the results reported to improve its management.

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Section: Baldrigementioning

confidence: 98%

Organizational performance evaluation in intangible criteria: a model based on knowledge management and innovation management

Dickel

Moura

2016

RAI Revista de Administração e Inovação

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“…Booking control can be achieved through cargo capacity management. May et al ( 2014 ) suggest a bid-price mechanism with premiums to optimize an airline’s revenue because airlines need to cover their operating costs when facing high demand uncertainty. Based on this finding, air cargo shipping charges are affected by the market situation (e.g., space and demand).…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of security oversight on air cargo price and demand

et al. 2023

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This paper examines the effect of security oversight on air cargo price and demand. We exploit variations in security oversight instituted by the International Civil Aviation Organization (ICAO). We estimate a simultaneous equation model using proprietary operations data from a major airline in South Korea over the period 2009–2013. This study explores the shipping-charge behavior of a service provider through a modeling approach that considers air cargo security. Our findings show that security oversight increases air cargo demand, controlling for the effect of price. Improving security measures increases the air cargo price, but the magnitude of this increase is small. Our results should help policymakers gauge the benefit of improved security and help airlines design an effective model to determine future air cargo shipping charges under high uncertainty to mitigate short- and long-term financial risks.

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“…Noting that PMM, is "…filled with limitations, conflicting interests, uncertainties, paradoxes and ambivalences" (Vakkuri and Meklin 2006, p.236), it is reasonable to derive from the literature several possible 'sources of ambiguity' within the PMM systems of complex multi-stakeholder organisations. Clearly, the heterogeneity of stakeholders, with differing priorities and pressures (May et al 2014), may lead to ambiguities in the PMM systems of complex multi-stakeholder organisations (Vakkuri and Meklin 2006). Such ambiguity may manifest in different ways that may be related to: (i) the purpose of performance measurement, (ii) what is being measured and why, (iii) who decides what to measure and who the measurement is for, (iv) who uses and acts on the measures, (v) how often the measures should be reviewed, (vi) how measures are deployed throughout the organisation, (vii) how they are reported, and (viii) how they are implemented and used.…”

Section: Ambiguity In Pmmmentioning

confidence: 99%

Ambiguity in performance management systems of complex multi-stakeholder organisations

Ojiako

Bititci

Marshall

et al. 2022

Production Planning & Control

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This study undertakes an in-depth and rigorous exploration and explanation of the sources and implications of ambiguity in performance measurement systems and performance management practices (PMM) systems of complex multi-stakeholder organisations. In doing so, it contributes to the literature on performance measurement theories. The study is undertaken in the form of a fine-grained, inductive case study with the Child and Adolescent Mental Health Services (CAMHS) of the National Health Service of England. Data are obtained from multiple exploratory interviews with CAMHS stakeholders. 2The study surfaces factors that create ambiguities in the PMM practices of complex multi-stakeholder organisations, which interact in complex ways, raising questions over the value of PMM systems and practices. The originality of the paper is threefold. First, it opens a new area of debate in relation to performance measurement in complex multi-stakeholder organisations. Second, the findings demonstrate the complex interrelationships between the sources and manifestations of ambiguity advance the knowledge of PMM systems and implications in such organisations. Third, the findings reveal that the nature of complex multi-stakeholder organisations suppresses open, participative and inclusive social controls.

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Prioritisation of performance indicators in air cargo demand management: an insight from industry

Cited by 11 publications

References 21 publications

Organizational performance evaluation in intangible criteria: a model based on knowledge management and innovation management

Organizational performance evaluation in intangible criteria: a model based on knowledge management and innovation management

The impact of security oversight on air cargo price and demand

Ambiguity in performance management systems of complex multi-stakeholder organisations

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