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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.

The purpose of this paper is to identify, review and classify the key practice indicators of successful team integration in construction projects, with the intention of gaining a greater insight into how they influence team dynamics.

This is a review paper that draws on existing research and, through observation of previous studies, identifies patterns to produce a greater understanding of the indicators affecting team integration in construction projects.

The review identified 15 key practice indicators of team integration from the literature, which together form the basis for transforming disparate project teams into a highly integrated team. It is argued that although there is an element of interdependence between some of the indicators, for the purpose of defining team integration practice by means of key indicators it is important to consider them independently because each indicator represents a key element of team integration practice. The indicators were classified as either “Relationship Oriented Indicators”, whereby the relationship between project teams is directly influenced through human behaviours, or “Non‐Relationship Oriented”, whereby relationships are indirectly influenced by putting systems or processes in place to promote, or at the very least allow, members of different functions to collaborate.

The process of integration is a result of a combination of many indicators and this review presents a complete picture of team integration for construction projects developed from past team integration research. It is hoped that the proposed framework will make a contribution by providing the necessary groundwork for further research and development in this area, with the aim of bridging the current gaps in the understanding of team integration in the construction management discipline.

Although there is a diversity of current thinking on team integration practice in construction projects, there is currently no consolidated set of key indicators embedded in integration practice. This study achieves that while recognising a complex system of interdependency between some of the indicators. It further extends the team integration literature by providing deeper insights into the characterisation and importance of exercising and improving integration practice.

The overall purpose of this study is to investigate impact of managerial characteristics on key performance indicators in the Kenyan hotel industry.

A cross‐sectional survey research design was used to gather primary data using self‐administered questionnaires. A sample of 160 hospitality managers was selected proportionately by simple random sample method from six hotels in Nairobi and Mombasa. A custom factorial univariate analysis of variance was used to analyze the data.

Hospitality managers in Kenya are still focusing on financial and result measures of performance while ignoring non‐financial and determinant measures. Managerial demographic characteristics; age, education, current position, functional area, and performance appraisal influence managers' choice of key performance indicators.

The model violated assumptions of homogeneity of variances. Literature review revealed a severe lack of Kenyan‐based research in tourism and hospitality industries on performance measurement practices hence the need for future research in this area.

The hotels need to invest in comprehensive performance management systems suitable for Kenyan hospitality industry that will incorporate both financial and non‐financial performance measures.

The study focuses on level of use of performance indicators and level of importance attached to performance indicators in the Kenyan hospitality industry. Managerial demographic characteristics influence on key performance indicators are examined in leading service industry in a growing economy thus contributing to a new body of knowledge in management literature in Africa.

WeChat official account (WCOA) is an emerging and important platform for academic library services, which greatly accelerates the development of this field. This article aims to identify key evaluation indicators for users' satisfaction of the Academic Library WeChat Official Account (ALWCOA) as a reference for future improvements.

Based on the updated DeLone and McLean (D&M)’s model and Delphi method, an evaluation system of ALWCOA satisfaction was constructed. Then 212 university students were recruited to fill out a questionnaire on evaluation indicators. The grey relational analysis (GRA) and Pareto's principle were employed to analyze the questionnaire and select key evaluation indicators.

An ALWCOA service satisfaction evaluation system with three evaluation dimensions and 15 evaluation indicators was constructed, and three key evaluation indicators were identified, including service responsiveness, information timeliness and system security.

This article provides a strategy for assessing ALWCOA service satisfaction, as well as insights for improving of ALWCOA service. Specifically, academic libraries should pay more attention to improving service responsiveness, information timeliness and system security.

This article innovatively applied the updated D&M model in academic library service. Additionally, it facilitates the development of research fields, such as academic library services, microservices and user service evaluation, and provides a case study to better understand the WCOA.

The civil aviation sector in Dubai has been contributing to its economic development by enhancing transportation services, allowing for the establishment of trade links, promoting tourism and providing job opportunities. Despite being a thriving sector of economic activity (Dubai was the third busiest airport in the world in 2018), a common understanding among the stakeholders on the sector’s long-term sustainability strategy is missing. The purpose of this paper is to contribute to the identification of important sustainability indicators in the civil aviation sector in Dubai.

This study uses the stakeholder theory to identify sustainability indicators. It deploys a qualitative research design that collects data through multiple focus groups, and it accounts for the stakeholders’ views toward key sustainability indicators. This research classified stakeholders completely in a separate matrix preventing their integration and therefore the confounding of their views. The study addresses the complexity of sustainability in the sector and identifies key indicators based on comprehensive and valid data from different stakeholders. The study focuses separately on the three pillars of sustainability: social, economic and environmental sustainability and identifies sustainability indicators for each pillar from the views of stakeholders. The study uses thematic analysis to produce results by identifying themes according to the collected data.

The study finds that there is a lack of sustainability knowledge and awareness in the civil aviation sector in Dubai despite its buoyant growth and expansion. The results show that stakeholders highlight the importance of social sustainability indicators that value equitable development in the pursuit of business goals. They also value economic sustainability indicators that focus on changing consumption patterns and increasing preservation. They finally focus on environmental sustainability indicators that promote eco-efficiency and renewable energy. However, considerable differences exist among stakeholders regarding the importance and priority of their suggested indicators.

The implications of the study are theoretical and practical. In the case of the former, it would contribute toward the reduction of uncertainty in the civil aviation sector in Dubai regarding the policy actions required to improve the sector’s sustainability. It is done by identifying the stakeholders’ views on the key sustainability indicators for each pillar of sustainability. In the case of practical implications, the outcomes of the study highlight specific directions that policy actions should take. Although the results are local, they can have tentative global policy implications. Finally, the results of the study are instrumental in addressing the sustainability debate within the civil aviation sector not only in Dubai but also globally.

The study extends existing research efforts to identify sustainability indicators in the civil aviation sector by considering the three different pillars of sustainability and by accounting for the diverse stakeholders’ views on the identification of key sustainability indicators. The study should be extended to account for the role of technological readiness in the region of other innovative approaches in the current civil aviation sectors.

The purpose of this paper is to present a framework for evaluation and ranking of potential surrogates to select the optimum surrogates and test it for five selected social resilience indicators in a disaster context. Innovative resilience assessment approaches are required to capture key facets of resilience indicators to deepen the understanding of social resilience. Surrogates can adequately represent the target indicator that is difficult to measure, as surrogates are defined as key facets of a target indicator.

To optimize the selection of surrogates, five key evaluation criteria were used. Disaster management experts completed an online survey questionnaire and evaluated three potential surrogate options. Surrogates were then ranked using PROMETHEE, a multi-experts multi-criteria group decision analysis technique.

A framework was devised to evaluate and rank potential surrogates to assess social resilience in a disaster context. The findings revealed that the first ranked surrogate can be the most critical facet of a resilience indicator of measure. In most instances, highly experienced cohort of practitioners and policy makers have aligned their preferences of surrogates with the overall ranking of surrogates obtained in this study.

The surrogate approach can also be tested in different disaster and geographic contexts. The resilience indicators used in this study to explore surrogates are largely applicable in all contexts. However, the preference of surrogates may also vary in different contexts.

Once the surrogate is selected through an evaluation process proposed in this paper, the resilience status can be updated regularly with the help of the selected surrogate. The first ranked surrogate for each of the social resilience indicator can be applied, since the findings revealed that the first ranked surrogate can be the most critical facet in the context of the social resilience indicator being measured.

The framework and the selection of optimal surrogates will assist to overcome the conceptual and methodical challenges of social resilience assessment. The applicability of selected surrogates by practitioners and policymakers in disaster management will play a vital role in resilience investment decision-making at the community level.

The surrogate approach has been used in the fields of ecology and clinical medicine to overcome the challenges in measuring difficult to measure indicators. The use of surrogates in this study to measure social resilience indicators in a disaster context is innovative, which was not yet explored in resilience measurement in disaster management.

This paper reports on research that investigated perceptions and prioritization of key performance indicators (KPI) for infrastructure sustainability, from a cross section of construction industry stakeholders in Hong Kong and Republic of South Africa. The results show that although there is general agreement on the indicators, there are noticeable differences in stakeholder ranking, which measures their prioritisation of the various indicators. These differences are closely linked to the level of development of the respective country and hence macro‐level priorities in formulating their sustainable development agenda. The most significant agreements are on indicators related to health and safety, while there are significant disagreements on some indicators related to environment, economy and project management and administration. The study provides empirical evidence of such underlying differences. The paper discusses the implications and challenges in addressing sustainability and sustainable development in developed and developing countries. The paper discusses the findings from the two‐country comparative studies and provides validated indicators for infrastructure sustainability. Recommendations are given on the application of these indicators for decision‐support and integrated sustainability appraisal in infrastructure project (SUSAIP).

Recent reports based on the sustainable development goals (SDGs) have revealed that no country is in line with achieving the targets of the 2030 Agenda for sustainable development, with the slowest progress being witnessed mainly on goals that are focused on the environment. This study examines environmental performance indicators for assessing the sustainability of building projects.

The study uses an explanatory sequential design with an initial quantitative instrument phase, followed by a qualitative data collection phase. An extensive critical comparative review of the literature resulted in the identification of ten environmental sustainability indicators. One hundred and sixty-seven questionnaire responses based upon these indicators from the Ghanaian construction industry were received. Data were coded with SPSS v22, analysed descriptively, and via inferential analysis. These data were then validated through semi-structured interviews with six interviewees who are fellows of their respective professional bodies, a senior academic (professor in construction project delivery) and a government official. Data obtained from the semi-structured validation interviews were analysed through the side-by-side comparison of the qualitative data with the quantitative data.

The findings from the study suggest that all the indicators were important in assessing building projects' environmental sustainability across the entire life cycle. Key among the identified indicators is the effects of the project on “water quality, air quality, energy use and conservation, and environmental compliance and management”. The interviewees further agreed to and confirmed the importance of these identified indicators for assessing the environmental sustainability of building projects in Ghana.

Compared to existing studies, this study adopts the exploratory sequential design to identify and examine the critical indicators in assessing the environmental sustainability across the entire lifecycle of building projects in a typical developing country setting, i.e. Ghana. It reveals areas of prime concern in the drive to place the local construction industry on a trajectory towards achieving environmental sustainability.

The purpose of this paper is to validate a list of key indicators (KIs) of team integration identified from construction management literature, identify the most significant KIs and provide suggestions on how to influence team integration, based on the opinion of an established construction peer group in New Zealand.

A literature review was conducted to identify and consolidate a set of KIs of team integration. Subsequently, a set of questions was designed to gain insight and opinion in terms of the significance and ranking of the identified indicators, as well as suggestions on how to influence the integration practice.

Analysis of the survey results showed that all relevant indicators have a strong influence towards determining the success of team integration in construction projects. The top-ranked indicators that contribute towards successful team integration are all relationship orientated as follows; single team focus on goals and objectives, trust and respect, commitment from top management, free flow communication and no blame culture. A framework for influencing these indicators of team integration is proposed which includes four elements: first, team formation; second, contractual model; third, teamwork principle; and fourth, operational monitoring.

The findings are limited to practitioners’ perceptions who are registered with an established construction peer group in New Zealand.

The results of the study are expected to provide insight for construction practitioners to help them embrace team integration practice and, hence, provide both the opportunity and a platform to enhance and measure their team performance.

The paper recognises that while the process of integration is a result of a combination of many indicators, it further extends the team integration literature by providing insights into what are the dominant relationship indicators of team integration, and how to influence these indicators based on a proposed framework.

Building energy efficiency retrofit (BEER) not only provides excellent opportunities to reduce overall energy consumption of buildings in a city but also encourages environmental protection, the rational use of resources, and occupants' healthcare, which all contribute towards the sustainability of existing buildings. However, there is a lack of effective performance indicators to measure the sustainability of BEER projects. The aim of this paper is to formulate a list of key performance indicators (KPI) for the sustainability assessment of BEER in hotel buildings.

First, a literature review and in‐depth interviews with industry experts and academic researchers were conducted, which filtered the performance indicators for assessing sustainability. Second, a questionnaire survey was conducted to collect data from various groups of experts to analyze the significance of the selected performance indicators. Finally, a model based on fuzzy set theory was designed to identify the key performance indicators (KPIs) for the sustainability of BEER.

Eight KPIs were identified based on fuzzy set theory in this study. They are: quality performance, hotel energy management, cost performance, project profitability, energy consumption and resources saving, health and safety, stakeholder satisfaction, and innovation and improvement.

The KPIs of sustainability of BEER identified for hotel buildings in China in this study can be useful reference for other similar research. However, with the different requirements for building types and building ownerships, the KPIs of sustainability of BEER for different buildings may be variable. The findings in this study may not be directly relevant to other types of building.

Key performance indicators for the sustainability assessment of BEER in hotel buildings in China are identified and analyzed in this study. The KPIs can help decision‐makers to identify an optimal solution between alternatives, which presents the maximum sustainability performance.