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The purpose of this paper is to assess the impact of managerial competencies on the marketing effectiveness of the organization. While many empirical works have centered on marketing effectiveness, the generalizability of its relationship to managerial competencies in the Nigerian context has been under‐researched.

A 27‐item survey questionnaire was developed and 84 corporate organizations in Nigeria were selected from the 2005 edition of the Nigerian stock exchange gazette as a sample of this study. A hand‐delivered survey was conducted from key informants in the organizations. Returned instruments were analyzed using non‐parametric correlation through the use of the Statistical Package for Social Sciences (SPSS) version 10.

The results of the study reported in this paper validated the earlier instruments and find a strong association between managerial competencies and marketing effectiveness of corporate organizations in the Nigerian context. The main finding of this study is that managerial competencies lead to marketing effectiveness in corporate organizations in Nigeria.

The implications of the results of this study are clear for scholars and managers. For managers this paper has implications on the investigation of the link between managerial competencies and marketing effectiveness of corporate organizations in Nigeria. In the first place, this paper provides a direct test of the applicability of a western paradigm to the Nigerian economic system, which is different from the other culture.

This paper significantly refines the body of knowledge concerning the impact of managerial competency on marketing effectiveness in the Nigerian context. This paper will no doubt contribute to the body of existing literature on managerial competency and marketing effectiveness.

The aim of this paper is to study the information content of operational loss events occurring at European financial institutions with respect to the announcing bank’s industry rivals from an equity investor’s perspective.

The authors conduct an event study to identify spillover effects of operational loss events using the Carhart (1997) four-factor model as a benchmark model. In addition, they conduct multiple regression analyses to investigate the extent to which firm-specific factors or the market environment affect abnormal returns.

They observe significant negative abnormal returns following operational loss announcements exceeding € 50 million for both the announcing firms and their competitors. In addition, they find that stock market reactions occur only within a very small event window around the announcement date, indicating a high degree of market efficiency. Finally, abnormal returns tend to be insignificant for smaller loss amounts.

While operational risk is often believed to be strictly firm-specific, the results show that large operational risk events are not purely idiosyncratic; rather, they are systemic in the sense that they have contagious effects on non-event banks. Thus, the authors shed new light on how operational risk affects equity investors’ investment behaviour in an opaque and highly interconnected banking market.

Integrating interdisciplinary studies with Human Capital Management Accounting (HCMA) refers to the dynamics of organized interdisciplinary action that are transversal or cross-cutting. This approach requires the mastery of a certain number of technical skills and disciplines, as well as the capacity to use them in a process to solve problems of financial performance. This is accomplished through the specific interaction tasks that are performed by each management function and operational unit, which act in real time with others, in the same direction as an organizational team, using a selected risk appetite threshold base.

Putting business fields side by side, (i.e., business disciplines silos, as is normally the case in MBA programs), is not enough to create the transversal interaction dynamic needed for firms to achieve expected financial performance goals. As a result, few graduates today have the cross-cutting or vertical skills required to act, in real time, from their workstation in accordance with the pyramid shape of the organization chart in order to create value.

This chapter presents the results of the interface established by a faculty member in the Accounting Department of the University of San Francisco with a “seasoned leader in the FinTech industry.” It proposes a single portal for employers and HRMs to which the continuing education services of professional training associations, executive education departments of colleges, and MBA schools and universities, can connect to issue the HCMA certificate supplementing their training offerings focused on “Leadership Development”.

Weather events have a significant impact on airport arrival performance and may cause delays in operations and/or constraints in airport capacity. In Europe, almost half of all regulated airport traffic delay is due to adverse weather conditions. Moreover, the closer airports operate to their maximum capacity, the more severe is the impact of a capacity loss due to external events such as weather. Various weather uncertainties occurring during airport operations can significantly delay some arrival processes and cause network-wide effects on the overall air traffic management (ATM) system. Quantifying the impact of weather is, therefore, a key feature to improve the decision-making process that enhances airport performance. It would allow airport operators to identify the relevant weather information needed, and help them decide on the appropriate actions to mitigate the consequences of adverse weather events. Therefore, this research aims to understand and quantify the impact of weather conditions on airport arrival processes, so it can be properly predicted and managed.

This study presents a methodology to evaluate the impact of adverse weather events on airport arrival performance (delay and throughput) and to define operational thresholds for significant weather conditions. This study uses a Bayesian Network approach to relate weather data from meteorological reports and airport arrival performance data with scheduled and actual movements, as well as arrival delays. This allows us to understand the relationships between weather phenomena and their impacts on arrival delay and throughput. The proposed model also provides us with the values of the explanatory variables (weather events) that lead to certain operational thresholds in the target variables (arrival delay and throughput). This study then presents a quantification of the airport performance with regard to an aggregated weather-performance metric. Specific weather phenomena are categorized through a synthetic index, which aims to quantify weather conditions at a given airport, based on aviation routine meteorological reports. This helps us to manage uncertainty at airport arrival operations by relating index levels with airport performance results.

The results are computed from a data set of over 750,000 flights on a major European hub and from local weather data during the period 2015–2018. This study combines delay and capacity metrics at different airport operational stages for the arrival process (final approach, taxi-in and in-block). Therefore, the spatial boundary of this study is not only the airport but also its surrounding airspace, to take both the arrival sequencing and metering area and potential holding patterns into consideration.

This study introduces a new approach for modeling causal relationships between airport arrival performance indicators and meteorological events, which can be used to quantify the impact of weather in airport arrival conditions, predict the evolution of airport operational scenarios and support airport decision-making processes.

The purpose of this paper is to investigate types, contexts and consequences of electronic HRM (e-HRM) configurations to get a deeper understanding of the reasons, kinds and success of different e-HRM types.

The paper uses a cross-sectional survey of senior HR persons and analyses data with exploratory methods, i.e. cluster analysis, classification tree analysis and analysis of variance.

The results show that actually three configurations of e-HRM – “non users”, “operational users” and “power users” – exist. These can be explained by a sparse, yet meaningful set of contextual variables. All three configurations markedly contribute to organisational success, whereas the “power user”-configuration exceeds the other configurations.

The employed e-HRM typology shows a precursory status and the empirical study is exploratory in nature. Thus, searching for a clearer theoretical foundation, improving the hypothesising of variables and undertaking further empirical studies to replicate the findings are necessary future steps.

Not always a maximum of electronic support seems to be indicated. Depending on the respective organisational context, even no electronic support, or else, a merely operational electronic support appears to be admissible; while, however, in larger and strategic-oriented organisations full electronic support outperforms other configurations.

–The paper focuses on different e-HRM types and gives some first insights into reasons, kinds and success of different configurations. This should lead to a refined understanding of e-HRM and evoke further research on the subject.

Amid increased size and complexity of the banking industry, operational risk has a greater potential to occur in more harmful ways than many other sources of risk. This paper seeks to provide a succinct overview of the current regulatory framework of operational risk under the New Basel Accord with a view to inform a critical debate about the influence of data collection, loss reporting, and model specification on the consistency of risk‐sensitive capital rules.

The paper's approach is to investigate the regulatory implications of varying characteristics of operational risk and different methods to identify operational risk exposure.

The findings reveal that effective operational risk measurement hinges on how the reporting of operational risk losses and the model sensitivity of quantitative methods affect the generation of consistent risk estimates.

The presented findings offer tractable recommendations for a more coherent and consistent regulation of operational risk.

This paper aims to propose and assess a core set of environmental and operational sustainability indicators for airport benchmarking, based on research conducted for a decision support tool designed to support airport environmental and operational sustainability. Seeks to make recommendations on the external use of sustainability indicators in stakeholder communication, based on a separate survey of the way in which UK airports use environmental and sustainability benchmarking reports.

The indicators are designed to minimise additional data collection demands while reflecting sustainability theory to a practicable extent.

Bringing core environmental and operational indicators together helps to make their inter‐relationship explicit. The indicators are a minimum set, and their limitations with respect to sustainability are made explicit.

Reports on a survey of the current extent of, and approaches to, stakeholder communication undertaken by airports in the UK, particularly external use of environmental and sustainability benchmarking results.

The purpose of this study is to examine the relationships between changes in water efficiency, profit and risk for firms in the global Consumer Packaged Goods industry. This study also aims to consider the moderating effect of operational efficiency on those relationships.

Using a sample of 155 firms with annual corporate social performance and financial performance data from Bloomberg for the years 2010–2019, this study employs first-differencing panel regression models to obtain our results.

This study finds strong evidence that operational efficiency moderates the relationships between water efficiency, profit and risk. For operationally efficient firms, increasing water efficiency increases profit and reduces risk. But for firms that are not operationally efficient, this study finds the opposite effects. These findings suggest a threshold level of operational efficiency that firms should achieve before they can reap financial benefits from increases in water efficiency.

Despite the increasing importance of water efficiency as a measure of corporate social performance, its effects on financial performance are not well studied. The relationship between operational efficiency and water efficiency has also not been examined. This work provides empirical evidence to better understand these important relationships. The major implication for managers is that operational efficiency is a foundational capability that should be developed before focusing on efforts to improve water efficiency. For operationally efficient firms, improvements in water efficiency can be an important mechanism to increase profitability and reduce risk.

The objective of this chapter is to help unpack the performance-enhancing role of certain capabilities that influence the decision of female immigrant entrepreneurs to rapidly internationalise. It employs a capabilities perspective of the broader resource-based theory and contributes to existing research involving capabilities that facilitate or inhibit rapid internationalisation. One strand of earlier literature highlights a potential ‘double disadvantage’ among particular female immigrant entrepreneurs associated with gender and ethnicity. An alternative strand of prior research identifies certain gender and ethnic resources/capabilities like cultural knowledge that can provide potential advantages. Findings from interviews with 11 female immigrant entrepreneurs that migrated to the UK, and selected secondary data, form an instrumental case study. New insights emerge regarding the potential role of appropriate stakeholders in transforming operational capabilities to those of a threshold or potentially dynamic nature. The findings suggest that generalisation should not occur regarding earlier literature investigating practices in other sectors.

Basel II and the EU CRD introduce, for the first time, specific Operational Risk requirements for credit institutions and investment firms. With less than 2 years available to prepare for the introduction of the simpler Operational Risk approaches, some firms would find it useful for the FSA to prescribe specific detailed Operational Risk standards that could be taken into account whilst preparing for the implementation of the EU Directive. However a variety of considerations, including differences between firms in terms of size, scale of activity and complexity and uncertainties over the final version of the Directive, will prevent the FSA from prescribing a detailed range of qualitative Operational Risk standards. This paper seeks to identify the general Operational Risk standards currently embodied in the Basel and EU documents and to distil these standards into ten qualitative Operational Risk elements that are likely to be considered by the FSA as part of any assessment of a firm's Operational Risk framework. Given the variables and uncertainties that will impact on the FSA's expectations for specific firms this paper reflects the authors' views and not the corporate views of the FSA.