Search results

This paper discusses the concept, definition and usage of Key Activity Indicators (KAIs) and their integration within a Performance Measurement and Management system (PMM).

The actual definition and application areas of the KAIs are determined through a systematic literature review. Successively, a thorough definition of Key Activity Indicators is provided, along with a set of criteria for their deployment. Lastly, a case involving a Large Scale Retail Trade (LSRT) company is reported to report an example for guiding KAIs adoption.

This research shows that the scientific background concerning KAIs is still not mature. Moreover, the paper defines the role of KAIs for measuring operational activities and their possible connection with Key Performance Indicators (KPIs).

Although KAIs have been introduced and discussed in the scientific literature; there is no evidence of criteria to deploy these indicators, leaving organizations without any guidance for their operational implementation.

From an academic standpoint, the study provides an overview of the usage of KAIs within the present scientific contributions, showing the advancements of this research field. From an industrial standpoint, the research proposes a set of criteria for the organizational deployment of KAIs.

The study investigates the concept of KAIs that, besides being originally conceived within World Class Manufacturing (WCM), has not received much attention in the scientific literature.

Intensive traffic often occurs in web‐enabled business processes hosted by travel industry and government portals. An extreme case for intensive traffic is flash crowd situations when the number of web users spike within a short time due to unexpected events caused by political unrest or extreme weather conditions. As a result, the servers hosting these business processes can no longer handle overwhelming service requests. To alleviate this problem, process engineers usually analyze audit trail data collected from the application server and reengineer their business processes to withstand unexpected surge in the visitors. However, such analysis can only reveal the performance of the application server from the internal perspective. This paper aims to investigate this issue.

This paper proposes an approach for analyzing key performance indicators of traffic intensive web‐enabled business processes from audit trail data, web server logs, and stress testing logs.

The key performance indicators identified in the study's approach can be used to understand the behavior of traffic intensive web‐enabled business processes and the underlying factors that affect the stability of the web server.

The proposed analysis also provides an internal as well as an external view of the performance. Moreover, the calculated key performance indicators can be used by the process engineers for locating potential bottlenecks, reengineering business processes, and implementing contingency measures for traffic intensive situations.

The literature on warehouse performance assessments is mainly focussed on the efficiency and effectiveness of an action or activity due to customer demand and tailored fulfilment, with less attention being given to the performance measurement of each function of the warehouse and its overall productivity. Therefore, this study was aimed at revising the key warehouse performance metrics to a set of productivity measurement indicators that can be adopted internationally for benchmarking productivity performance.

A literature review and semi-structured survey questionnaire were used for this study. The importance of warehouse productivity performance was reviewed to revamp the measurement indicators. Through the use of a directed content analysis and descriptive analysis, an extensive study was carried out to analyze existing warehouse productivity indicators.

The findings of this study provide comprehensive references for practitioners and academicians for improving the classification of productivity measurements from existing key performance metrics for warehousing. Also, this paper highlights the warehouse resources related to the respective warehouse operation activities.

The study was limited to productivity performance indicators adapted from Staudt et al. (2015). Furthermore, the samples for this study comprised Malaysian academicians and practitioners in the related field. The findings can be adapted on a global scale as this study implemented general warehouse operation processes.

Consequently, the contributions of this study are that it provides relevant benchmarks for key productivity performance indicators in the warehousing sector that has worldwide applicability and the developed model provides a conceptual platform from which further theoretical and empirical developments can be carried out.

Responsible research and innovation (RRI) is taking a role in assisting all types of stakeholders, including industry members, in moving their research and innovation (R&I) initiatives to tackle grand challenges. The literature on RRI, however, focuses little on how industry can implement RRI principles. To solve this gap, the purpose of this study is to construct a conceptual framework for managing and assessing RRI principles in the industry.

Qualitative research was used to build the RRI key performance indicator list; 30 interviews were conducted to design a framework which was pilot tested in a company to identify how to align technology outcomes to the values, needs and expectations of the society.

This study depicts five successive RRI implementation levels and exhibits RRI key performance indicators. Drawing on extant models, this study develops RRI levels and indicators to discuss why industry should become engaged in RRI, how it can embed RRI principles into R&I processes and how RRI indicators can be managed systematically.

The connection between RRI key performance indicators and RRI levels determines how industry can integrate principles and methodologies of RRI into R&I processes. The model in the study shows how companies move from one RRI stage to another and this study aims to exhibit an ideal stage of RRI for industry.

This paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.

The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.

The data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.

The contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management.

The purpose of this paper is to propose a framework for assessing the maturity level of electronic government (e‐government).

The conceptual framework is based on two models: the intellectual capital (IC) management and the capability maturity model integration (CMMI).

The framework is composed of four input areas (human capital, structural capital, relational capital, and IT investment) and five maturity stages (web presence, interaction, transaction, integration, and continuous improvement). These areas are assessed by using the IC management model and the CMMI model. Employing the IC management process enables not only practitioners to effectively manage resources, but also auditors to more objectively assess the input area. Using the CMMI model allows governments to conduct process‐based assessments.

The paper contributes to the literature and practice in the following ways. First, it outlines how to define and assess key attributes of e‐government activities. It can help governments to enhance the awareness and understanding of maturity levels of e‐government. Second, this research expands the scope of current studies on a maturity model by providing a balanced view between input factors (resources) and results (maturity stages). For practitioners, assessing the input factors enables them to realize how to prioritize strategies and resources. For academics, this attempt sheds light on the concepts of IC in e‐government studies. Third, considering the CMMI model will be helpful to conduct an objective and useful assessment. On the basis of a matrix for assessing maturity levels, governments can conduct self‐assessment and establish stable and mature implementation processes.

This chapter examines performance management, which has arguably been the kernel of New Public Management inspired version of public sector reform. The first part is a literature review that looks at experiences of performance management in both developed and developing countries. It looks at the difficulty in transferring public sector reforms from developed to developing countries. This is followed by the evaluation of performance management in the post-1994 public service in South Africa. Both the individual and organisational performance systems are highlighted, followed by an analysis of performance management reforms. There is a well-developed performance management system but the empirical data and qualitative reports found that it has not worked particularly well. There are concerns around a number of issues, including the measurement of targets; the signing of performance targets; a focus on outputs rather than outcomes; a lack of harmonisation between individual and organisational performance; a lack of capacity of managers, which in some cases is due to unskilled patronage appointments; a focus on compliance rather than performance; and a lack of accountability.

This study aims to identify sustainability indicators in the energy sector through a literature review and validate them from the perspective and context of professionals working in the sector in an emerging economy country, Brazil, considering the relationship of these indicators with the achievement of the targets set by the United Nations sustainable development goals (UN SDGs).

To accomplish this, a literature review on sustainability indicators specific to the energy sector was conducted. Subsequently, a research instrument (questionnaire) based on the identified indicators was developed and a survey was administered to professionals in the field. The collected data were analyzed using the Lawshe method.

The results revealed 20 indicators, distributed across environmental, economic and social dimensions. Among these, nine indicators were validated, including global impacts, local impacts, renewable energy production as a percentage of total production, greenhouse gas emissions, access to electricity, investment in the energy sector, installed capacity in the electricity sector, energy prices in the end-use sector and energy distribution and conversion efficiency.

Consequently, it was possible to determine which SDGs are directly impacted and provide a foundation for future actions that can contribute to the sustainable advancement of the energy sector in emerging countries.

Considerations about governance at the level of local or national often focus on how engaged citizens are in protecting democracy, the influence of civil society on policy making and whether or not attaining specific developmental objectives can be justified if the rights of citizens are trampled on in the process. Corporate governance as well as the way national and local governments practise governance can have direct impact on communities located in areas near to extractive industries and even further afield. However, although risk analyses are considered in feasibility studies, including the conduct of environmental impact assessments of mining investments, what has attracted less attention are the consequences of poor governance in managing/mitigating risks when communities which traditionally are ‘resource guardians’ are not consulted during stakeholder discussions as part of investment negotiations.Academic literature and popular media are replete with examples of the high price paid by some communities, including loss of lives and livelihoods, when investors and governments ignore opportunities for meaningful engagement with stakeholders. And, although recommendations have been made on how to improve meaningful stakeholder engagement, the various discussions/articles have not revealed consensus on how best to create meaningful stakeholder engagement in regions rich in natural resources sometimes described as suffering from ‘resource curse’. In considering ways in which meaningful stakeholder engagement could convert the resource curse into ‘resource blessings’, the question may well be asked, what are the indicators of meaningful stakeholder engagement and how can this be strengthened through greater transparency in governance?Drawing on a case study of diamond mining in Botswana and the mining of platinum in South Africa, this chapter provides an overview of approaches to risk assessment by companies and governments and examines key indicators of governance which impact on the lives and livelihoods of communities directly affecting by mining operations. In addition, the author highlights how risks associated with poor governance can derail attainment of development objectives as well as opportunities that act as catalysts in transforming communities and meeting national development objectives.

The purpose of this paper is to identify knowledge as a key strategic resource within the EFQM excellence model. The study also analyses whether the EFQM model helps to create an adequate context for successful knowledge management (KM). A description is given of the synergies between both management approaches, with the purpose of reaching sustainable competitive advantages within organizations.

A literature review and a content analysis are carried out which show how the current version of the EFQM model includes the key aspects of the knowledge management systems (KMS) and its process. Also, the relationships and synergies between both considered management approaches are analyzed: quality management and KM.

After a detailed analysis of KM issues in the EFQM model, important synergies and complementary elements are appreciated between both management frameworks. Evidence is given of how the integration of both frameworks constitutes a dynamic capability that can lead organizations to attain sustainable competitive advantages.

An exhaustive review is given of the elements related to KM present in the EFQM model. In addition, companies are offered guidelines to be able to manage their knowledge through a model that is recognized and widespread in the business sphere.

The research develops the first content analysis of the process elements and KMS present in the whole structure of the EFQM model. Furthermore, it is shown how the integration of excellence and KM constitutes a dynamic capability for organizations based on continuous improvement, innovation and learning.