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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 successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and particularity. Employing key performance indicators (KPIs) facilitates the monitoring of HPs to advance their successful delivery. This study aims to comprehensively investigate the KPIs for hospital planning and construction (HPC).

The KPIs for HPC were identified through a systematic review. Then a comprehensive assessment of these KPIs was performed utilizing a meta-analysis method. In this process, basic statistical analysis, subgroup analysis, sensitive analysis and publication bias analysis were performed.

Results indicate that all 27 KPIs identified from the literature are significant for executing HPs in P&C phases. Also, some unconventional performance indicators are crucial for implementing HPs, such as “Project monitoring effectiveness” and “Industry innovation and synergy,” as their high significance is reflected in this study. Despite the fact that the findings of meta-analysis are more trustworthy than those of individual studies, a high heterogeneity still exists in the findings. It highlights the inherent uncertainty in the construction industry. Hence, this study applied subgroup analysis to explore the underlying factors causing the high level of heterogeneity and used sensitive analysis to assess the robustness of the findings.

There is no consensus among the prior studies on KPIs for HPC specifically and their degree of significance. Additionally, few reviews in this field have focused on the reliability of the results. This study comprehensively assesses the KPIs for HPC and explores the variability and robustness of the results, which provides a multi-dimensional perspective for practitioners and the research community to investigate the performance of HPs during the P&C stages.

This study aims to discover the key performance indicators (KPIs) of the agricultural cold supply chain (ACSC) and analyze their consequences on the performance of ACSC within the bounds of Indian topography.

The KPIs have been explored based on the literature review both in global and Indian context and domain expert's opinions. The interdependency characteristics and cause–effect relationship among the KPIs have been analyzed using a fuzzy decision-making trial and evaluation laboratory (f-DEMATEL) approach.

The findings extracted from the empirical assessment of the problem find strong compliance with the notions of theoretical model assessment. The results highlight that the cost of product waste and operating and performance costs are the two most important performance indicators of an Indian ACSC. Furthermore, governmental policies and regulations and the effectiveness of cold chain (CC) equipment also have a high degree of influencing characteristics on ACSC performance.

To connect the study with practicalities, the assessment of the KPIs is allied with real-time practices by clustering the beliefs of Indian professionals. Therefore, the decision-making behavior of the experts might be influenced by geographical constraints. However, the key findings provide advantages to the ACSC players, a bright hope for future food security and a significant profit for farmers.

The presented paper encompasses various aspects of the ACSC, including theoretical and empirical perspectives exercised to contemplate the system dynamics, which inculcates the essence of the associated practicalities. Thus, this study has various practical contributions relevant to managerial and societal perspectives.

This study aims to address the current gap in knowledge of indirect procurement performance management. It attempts to argue the need for a specific and tailored performance management approach for the indirect procurement function that incorporates a balanced approach, beyond financial measures.

The case study approach evaluated key performance indicators from a balanced scorecard (BSC) perspective in the development of a performance measurement system (PMS) for a Middle Eastern university’s indirect procurement division. It initially reviewed the literature to assess potential indicators for this context. It used vision and mission statement analysis alongside expert interviews to augment the literature. The candidate indicators were then evaluated and ranked by an expert panel through applying a four-round Delphi technique.

Twenty-nine procurement-specific indicators are suggested in a BSC framework. The five highest-ranked indicators were not in the financial perspective unlike other BSC studies in the broader field of supply chain management (SCM).

The study suggests a framework and indicators for a procurement PMS for practitioners to consider. It also highlights there is no one-size-fits-all and that organisations need to tailor PM to the organisation and divisional strategy and operational needs. This study aids the development of guidelines for executives and procurement management that wish to develop indicators and a PMS.

This study contributes to knowledge by partly addressing the under-researched field of indirect procurement PM. The literature suggested that various roles in SCM require specific PM indicators. This study puts forward a BSC framework with 29 indicators specifically for indirect procurement. Fourteen of these indicators were derived from non-literature sources. This study enhances knowledge and contributes to the limited debate and evidence on indirect procurement PM and the broader PM literature.

This study aims to investigate and classify the hospital logistics key performance indicators (KPIs) using the context of public hospitals in remote areas.

The public hospitals in northern Thailand were selected for the case study. The questionnaire was developed and used to collect data from hospital logistics experts. Then, the analytic hierarchy process (AHP) method was used to evaluate the hospital logistics KPIs in each dimension.

This research found that the procurement management dimension is ranked highest. Information and technology management is the last rank in the hospital logistics KPIs used for public hospitals in remote areas.

The public hospitals located in northern Thailand were selected for the case study. Fuzzy multi-criteria decision-making methods can be used to reduce the vagueness of the values.

The results from this study can be a guideline for hospitals to improve the efficiency of their logistics operations.

The decision-makers in the hospital can use these results to improve the hospital’s logistics performance in the future, which could help increase the service level and the safety of the patients.

The hospital logistics KPIs were revised, and the crucial KPIs were prioritized for improving the hospital logistics using the AHP method.

Key performance indicators (KPIs) play a pivotal role in evaluating the level of success of an organization in achieving its business objectives. The objective of the current research is to identify and prioritize effective KPIs in branding products and construction projects, which contribute to the success of construction companies in a competitive environment.

The present research is of an inferential, descriptive and survey nature. In this study, we identified the influential key performance indicators of construction companies in branding products and construction projects for success in a competitive environment through a literature review and expert opinions. The data were collected using a questionnaire, and a combination of the one-sample t-test method with a 95% confidence level and the fuzzy multiple attribute decision-making (FMADM) method was employed for analysis.

The results indicate that the most influential key performance indicators for construction companies in branding products and construction projects for success in a competitive environment are, in order of significance, the following indices: “Marketing and Advertising,” “Financial,” “Creativity,” “Technical and Operational” and “Social and Political.”

The present research examines the importance of branding construction products and projects for the success of construction companies by improving their business objectives and utilizing key performance indicators throughout the product lifecycle (production and construction). This study provides solutions on how construction companies can increase their competitive advantage through branding and achieve long-term success in the global construction industry.

The purpose of this study is to integrate the sustainability balanced scorecard (SBSC) framework with decision-making trial and evaluation laboratory (DEMATEL) for proposing a model and identifying the cause-and-effect relationships between the five perspectives of SBSC and then 23 performance indicators within the SBSC framework in a strategy map.

The DEMATEL approach is used to obtain a matrix including direct and indirect influences between the five perspectives of SBSC and among 23 key performance indicators (KPIs). DEMATEL data are gathered from experts to propose a model and establish reliable relationships between performance metrics. Using DEMATEL and the SBSC framework, a strategy map for the SBSC dimensions and KPIs was built to illustrate strategic cause-and-effect relationships among the various dimensions and performance indicators.

The outcomes indicated that internal process and financial perspectives play essential outputs. Sustainability is the most critical predictor (causal) in the model, then customer and learning and growth dimensions, indicating that sustainability, learning and growth and customer dimensions all positively affect other dimensions. Additionally, sustainability has bi-directional in its link to the customer and internal processes and bi-directional in its relationship to finance, learning and growth. Numerous additional linkages are observed among the five SBSC perspectives and KPIs.

The data collected is based on an “average” company in manufacturing sector; thus, companies need to customize this model to ensure that their strategies are clearly translated into KPIs.

The findings gave valuable information to management about manufacturing companies KPIs. They determined which KPIs are regarded as outcome (effect) variables and which KPIs are considered predictor (casual) variables. Additionally, the findings offer management with SBSC perspectives that should be traded as outcomes and those that should be traded as predictors. Additionally, the findings highlighted the critical KPIs and explained their interrelationships. This enables managers to focus on the significant financial besides non-financial indicators and comprehend the logical connection among them.

The results qualify executives and management to analyze and recognize a strategy map by understanding each objective's impacts, including direct and indirect, on all others. The typical analysis comprises determining the strategic objectives that are “cause” and the objectives considered as “effect”. As this study extends the BSC framework to have sustainability perspectives, the results of DEMATEL provide administrators with exceptional information to blend the conventional BSC perspectives with sustainability as added perspective.

The current study proposed an illustration model for strategy map development and also provide an interrelationship among SBSC perspectives.

The boom of new players in the accommodation sector has led to an increase in the level of competitiveness and has highlighted the importance of using key performance indicators (KPIs) in organisational decision-making processes as efficient tools for thriving in the growingly competitive environment. This study aims to assess the use of KPIs by owner-managers of small and medium-sized short-term rental accommodation (STRA) units.

To achieve this aim, this research encompasses two different primary data collection methods conducted in 2021. Firstly, from April to May, a set of exploratory interviews with experts within the STRA domain was planned. Secondly, an intensive data collection, from June to September, included an online questionnaire with close-ended questions to a sample of all the companies that manage STRA units in Portugal.

These managers tend to use more widely financial and operational KPIs that depict relationships with guests and reflect the activity of the STRA units, the external environment and the innovation level. Moreover, younger managers and those with higher levels of education tend to use a “monitoring review of digital platforms” KPI, while less experienced managers use financial and operational KPIs and senior and higher experienced managers place greater value on KPIs associated with customer relationships.

STRA units hold a very relevant position in the hospitality industry, and it is urgent to generate more information to better understand this growing subsector. This research contributes to the literature providing evidence on the importance of KPI to STRA units, for owner-managers and for urban tourism, considering their growth, proliferation and importance for the planning of cities by destination management organisations.

This case aims to enhance students’ scholarship and understanding of performance management systems with respect to the formulation of key performance indicators (KPIs). Specifically, working through this case and the assignment questions, students will be able to:▪ critically analyse process-based and outcome-based performance indicators;▪ recommend the right mix of process- and the outcome-based KPIs;▪ apply the specific, measurable, aligned, realistic and time-bound (SMART) framework to the KPIs;▪ create SMART KPIs; and▪ propose when to involve team members in decision-making.

The Director of the Centre for Learning and Innovative Pedagogies (CLIP), Dr Tanushree Sharma, was in for a surprise when the Dean and the Advisor to the school expressed their dissatisfaction with her approach to framing performance indicators for the management of the Centre.

They categorically advised her to change her process-based orientation to an outcome-based one and create tangible ground-level outcomes. Their feedback made her realize why, in spite of having rolled out several initiatives, the Centre was struggling to demonstrate its impact on student learning and faculty development. It dawned on her that the Centre’s inability to showcase a tangible impact on the school could mar the collective hard toil of the team.

Accepting the feedback and recognizing the merit of designing outcome-based SMART performance indicators, she started working towards them. Although she was able to conceptualize a broad framework, she was uncertain about whether to include only outcome-based KPIs. She was also unsure whether to unilaterally create and assign the key responsibility areas (KRAs) and KPIs or co-create them with her team members. A confluence of factors weighed heavily on her mind – the pressure of limited time, remote working because of the pandemic, moderately experienced team members, voluntary team membership, lack of positional power and her limited organizational influence. With less than a month to the proposal submission, she had no time to waste.

The case is suitable for courses on performance management systems, human resources and leadership; however, it is particularly relevant to framing KRAs and KPIs, developing outcome-based KPIs and applying the SMART framework to developing KPIs. It can be used in both postgraduate and undergraduate programmes at business schools.

Teaching notes are available for educators only.

CSS 6: Human Resource Management.

Being an efficient mechanism for the value of money, public–private partnership (PPP) is one of the most prominent approaches for infrastructure construction. Hence, many controversies about the performance effectiveness of these delivery systems have been debated. This research aims to develop a novel performance management perspective by revealing the causal effect of key performance indicators (KPIs) on PPP infrastructures.

The literature review was used in this study to extract the PPPs KPIs. Experts’ judgment and interviews, as well as questionnaires, were designed to obtain data. Copula Bayesian network (CBN) has been selected to achieve the research purpose. CBN is one of the most potent tools in statistics for analyzing the causal relationship of different elements and considering their quantitive impact on each other. By utilizing this technique and using Python as one of the best programming languages, this research used machine learning methods, SHAP and XGBoost, to optimize the network.

The sensitivity analysis of the KPIs verified the causation importance in PPPs performance management. This study determined the causal structure of KPIs in PPP projects, assessed each indicator’s priority to performance, and found 7 of them as a critical cluster to optimize the network. These KPIs include innovation for financing, feasibility study, macro-environment impact, appropriate financing option, risk identification, allocation, sharing, and transfer, finance infrastructure, and compliance with the legal and regulatory framework.

Identifying the most scenic indicators helps the private sector to allocate the limited resources more rationally and concentrate on the most influential parts of the project. It also provides the KPIs’ critical cluster that should be controlled and monitored closely by PPP project managers. Additionally, the public sector can evaluate the performance of the private sector more accurately. Finally, this research provides a comprehensive causal insight into the PPPs’ performance management that can be used to develop management systems in future research.

For the first time, this research proposes a model to determine the causal structure of KPIs in PPPs and indicate the importance of this insight. The developed innovative model identifies the KPIs’ behavior and takes a non-linear approach based on CBN and machine learning methods while providing valuable information for construction and performance managers to allocate resources more efficiently.