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1 – 10 of over 5000Tianyao Ping, Wei Pan and Zhiqian Zhang
Modular construction is an innovative method that enhances the performance of building construction projects. However, the performance of steel modular construction has not been…
Abstract
Purpose
Modular construction is an innovative method that enhances the performance of building construction projects. However, the performance of steel modular construction has not been systematically understood, and the existing measurement methods exhibit limitations in effectively addressing the features of steel modular building construction. Therefore, this study aims to develop a new performance measurement framework for systematically examining the performance of steel modular construction in building projects.
Design/methodology/approach
This study was conducted through a mixed-method research design that combines a comprehensive review of the state-of-the-art practices of construction performance measurement and a case study with a 17-story steel modular apartment building project in Hong Kong. The case project was measured with data collected from the project teams and other reliable channels, and the measurement practices and findings were referenced to establish a systematic performance measurement framework for steel modular construction.
Findings
Considering steel modular construction as a complex socio-technical system, a systematic performance measurement framework was developed, which considers the features of steel modular construction, focuses on the construction stage, incorporates the views of various stakeholders, integrates generic and specific key performance indicators and provides a benchmarking process. Multifaceted benefits of adopting steel modular construction were demonstrated with case study, including improved economic efficiency (e.g. nearly 10% cost savings), improved environmental friendliness (e.g. approximately 90% waste reduction) and enhanced social welfare (e.g. over 60% delivery trips reduction).
Originality/value
This paper extends the existing performance measurement methods with a new framework proposed and offers experience for future steel modular construction. The measured performance of the case project also contributes in-depth understanding on steel modular construction with benefits demonstrated. The study is expected to accelerate an effective uptake of steel modular construction in building projects.
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Saswati Tripathi and Siddhartha Shankar Roy
This article aims to comprehensively review the measurement and management of supply chain performance (SCP) and strategic performance (SP). It strives to identify integrable…
Abstract
Purpose
This article aims to comprehensively review the measurement and management of supply chain performance (SCP) and strategic performance (SP). It strives to identify integrable features regarding frameworks, measurement approaches, practices and emerging research issues in these areas to integrate SCP and SP for measuring and managing performance. It intends to develop a dynamic-integrated-performance-system by incorporating integrable aspects of SCP and SP to link these domains for organizational performance improvement.
Design/methodology/approach
Using systematic-literature-review, this study analyzes 154 articles published in selected peer-reviewed international journals from 2000 to 2023 regarding SCP and SP. It assesses existing knowledge regarding research-design followed, challenging areas and imperatives in these critical business domains to investigate the prior conceptual, empirical, case study-based and literature-review-based articles.
Findings
The study identifies integrable features regarding key theoretical and measurement frameworks, critical objectives, significant measures, effective practices for measuring and managing SCP and SP and emerging research issues common to these areas. The findings help develop a dynamic-integrated-performance-system that uses the theoretical lenses of resource-based-view/dynamic-capability-theory and adopts a comprehensive framework like DBSC (system-dynamic-model with BSC perspectives). It incorporates identified integrable measures and best practices to monitor, measure, manage and improve organizational performance for sustainable competitive advantage. The article reveals that earlier studies have overlooked analyzing SCP and SP integration aspects.
Research limitations/implications
From the theoretical viewpoint, the present SLR is unique in three ways: first, in investigating both the measurement and management of SCP and SP holistically; second, in identifying integrative features of these two; and third, in proposing a DIPS to link SCP and SP for performance improvement. The study reveals that existing literature has focused on measuring and managing SCP and SP in isolation without attempting a comprehensive and unified approach to integrate the respective domains. The present SLR adopts a holistic approach to link SCP and SP from SCM and strategic-management perspectives. The study proposes a dynamic-integrated-performance-system to measure, manage and improve performance in a unified method.
Practical implications
This study provides SC and strategy practitioners with an understanding of strategy-performance pathways for achieving strategic objectives and executing risk mitigation initiatives to counter disruptions. It enables SC managers to comprehend SC practices and SCP leading to dynamic SC capabilities development. Operationalizing the proposed DIPS will help firms link SCP and SP, align operational SC practices with strategic sustainability and circularity objectives and meet sustainable development goals while benefiting social and environmental stakeholders.
Originality/value
Assessing relationships and identifying a unified approach integrating SCP with SP have not been addressed earlier. This study's uniqueness is finding integrable features of SCP and SP and constructing a dynamic-integrated-performance-system to link these domains for achieving strategic competitiveness.
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Harish Kumar Singla and Sitara Sunil Chammanam
The purpose of this study is to develop a financial performance measurement model for real estate business.
Abstract
Purpose
The purpose of this study is to develop a financial performance measurement model for real estate business.
Design/methodology/approach
The study uses balanced scorecard (BSC) proposed by Kaplan and Norton (1996) as a theoretical support. The study, being exploratory in nature, uses survey method to collect data on several dimensions of BSC as well as on other performance measures used by real estate businesses in India. The survey data collected is analyzed using exploratory factor analysis (EFA) to explore the model constructs. This is followed by building an integrated conceptual model for measuring the financial performance of a real estate business. The model is tested using partial least squares structural equation modeling (PLS-SEM).
Findings
The study finds that the financial performance of the real estate business revolves around customer satisfaction, employee satisfaction and external networks. The right alignment of these components lead to superior financial performance. It also provides a competitive advantage to the real estate business. These three components (customer satisfaction, employee satisfaction and external networks) have direct and indirect influences on the financial performance of real estate business.
Research limitations/implications
A small sample size (78 respondents), as well as the respondent’s geographical concentration in India, are the limitations of the study. Hence, generalization of findings may be difficult until the findings are validated across the globe.
Practical implications
The conceptual performance measurement model suggested in this research provides an effective tool to plan and strategize to achieve superior financial performance, particularly for stakeholders in the real estate business.
Originality/value
To the best of the authors’ knowledge and belief, this is the first attempt to develop a comprehensive financial performance measurement model for real estate business and test it using EFA and PLS-SEM.
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Marketing professionals are under pressure to implement methods and metrics that demonstrate the value of the function. This paper aims to propose a model to measure marketing…
Abstract
Purpose
Marketing professionals are under pressure to implement methods and metrics that demonstrate the value of the function. This paper aims to propose a model to measure marketing performance, focusing on four categories of metrics and two types of factors that influence the effectiveness of the assessment process.
Design/methodology/approach
The paper is organized in three parts. The first part includes a synthesis of the theoretical background on the subject. Next, the rationale and architecture of the model are presented, together with an explanation of the elements that compose it. A reflection on the work developed is presented in the last section.
Findings
Benefits regarding how to best assess marketing practice are considerable, as organizations with effective performance measurement systems tend to show better results than others. In this context, the choice of metrics is important, but it is also necessary to understand the mechanisms through which the effectiveness of the measurement process can be improved.
Originality/value
Literature has mainly focused attention on the effect of individual programs on specific measures or on conceptual models that do not sufficiently address all major elements in the marketing assessment process. This work extends previous contributions on the subject, presenting a model that combines metrics with factors underlying the measurement process.
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Wensheng Lin, Guangbin Wang, Yan Ning, Qiuwen Ma and Shuyuan Dai
Megaproject performance measurement (MPM) has received great attention in the project management community, but it primarily focused on the design of performance measures or…
Abstract
Purpose
Megaproject performance measurement (MPM) has received great attention in the project management community, but it primarily focused on the design of performance measures or frameworks. Yet, whether MPM utilization can improve megaproject performance and how project actors use MPM to improve megaproject performance is less well understood. This study aims to investigate whether and how the use of MPM can contribute to better megaproject performance.
Design/methodology/approach
Through the lens of the lever of control, this study conceptualizes MPM utilization as diagnostic use and interactive use. A holistic research model and related hypotheses integrating MPM use, project complexity and megaproject performance were established. The model was validated using a partial square-structural equation modeling method.
Findings
Based on 214-megaproject data collected through a questionnaire survey in China, the results show positive effects of diagnostic use and interactive use on megaproject performance. Both, however, have substitutional interaction effects. The moderating results suggest that the higher project complexity weakens the positive effects of MPM utilization on megaproject performance.
Originality/value
This study advances megaprojects performance measurement and management literature by validating the value of MPM utilization on performance. It also presents practical implications for project managers to improve performance by appropriate MPM utilization.
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Mershack Opoku Tetteh, Albert P.C. Chan, Amos Darko, Beliz Özorhon and Emmanuel Adinyira
International construction joint ventures (ICJVs) will fully realize their potential for success and effectively monitor performance when an adequate and suitable performance…
Abstract
Purpose
International construction joint ventures (ICJVs) will fully realize their potential for success and effectively monitor performance when an adequate and suitable performance benchmark is established. However, existing studies fall short of adequately providing a mutually acceptable benchmark for assessing the performance of ICJVs. This study aims to develop an adequate and suitable performance measurement framework for ICJVs.
Design/methodology/approach
A twofold structured questionnaire survey, supplemented by semi-structured interviews, was used to collect data from the practitioners of ICJVs hosted in the developing country of Ghana. The data were analyzed by using descriptive statistics, confirmatory factor analysis (CFA) and a hybrid-fuzzy logic approach.
Findings
A list of 30 performance indicators (PIs), defined by project performance, perceived satisfaction, company/partner performance, socio-environmental performance and performance of ICJV management, was validated and proved to be significant. Only 22 out of the 30 PIs, focusing on project efficiency, societal improvement and organizational goals are realized by the ICJV practitioners. Further, suitable determinants and viable quantitative ranges for measuring each PI are established to prevent different interpretations of the meanings of PIs and objectively express the level of success in quantitative terms. The results call for further investigation of the convergence between the practice of and research into some PIs (e.g. socio-environmental performance) and a range of different performance levels (PLs) in a more scientific manner.
Practical implications
This study not only advances the knowledge base and practice of performance measurement in ICJVs but could also assist stakeholders and decision-makers to assess, compare and monitor the performance of different ICJV projects on common grounds objectively.
Originality/value
This study not only comprehensively assessed PIs – what to measure – but also systematically determined suitable determinants – how to measure – for each PI.
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Joel Bolton, Frank C. Butler and John Martin
Firm performance remains at the heart of strategic management. In the quest to refine the field’s contribution, Venkatraman and Ramanujam (1986) argued that reliance upon single…
Abstract
Purpose
Firm performance remains at the heart of strategic management. In the quest to refine the field’s contribution, Venkatraman and Ramanujam (1986) argued that reliance upon single measures of firm performance is risky and firm performance should be treated as a multidimensional construct. Subsequently, researchers have examined trends in firm performance measurement ever since. Over a decade since the last examination of this issue, this study aims to add to the ongoing conversation.
Design/methodology/approach
The authors investigated 1,972 research papers published in five premier management journals for the years 2015–2019 to determine if multidimensional measurement of firm performance has improved.
Findings
The findings suggest that approximately two-thirds of papers that measure firm performance are published using only a single measure of firm performance, and approximately three-fourths do not measure firm performance across multiple dimensions.
Originality/value
This study contributes to the literature by emphasizing the necessity to consider the dimensionality of firm performance, use multiple measures and consistently ground firm performance variables with theory – especially control variables – to keep firm performance as the focus of the strategy field. Evidence and implications are discussed and recommendations for researchers and reviewers are provided.
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This study aims to determine whether and how objectives and key results (OKRs) can be used to solve performance measurement issues encountered by organizations.
Abstract
Purpose
This study aims to determine whether and how objectives and key results (OKRs) can be used to solve performance measurement issues encountered by organizations.
Design/methodology/approach
A total of 204 staff members from 26 Thai organizations that adopted OKRs were interviewed. Five senior executives and five operational staff members with experience using OKRs were selected from each organization. Content analysis was also performed.
Findings
OKRs facilitate the acceptance of performance indicators and help solve issues of alignment between indicators and organizational strategies as well as improper target setting.
Research limitations/implications
The results have limited generalizability because of the qualitative approach undertaken in the study. Further research can test whether the results hold true if OKRs are used for longer than six months.
Practical implications
The results of this study can be used to help managers and employees set challenging targets, utilize their competencies and find a sense of relatedness, which can lead to organizational success.
Originality/value
This study is one of the first to thoroughly investigate the use of OKRs by adopting the self-determination theory (SDT) as the main theoretical framework.
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Prachi Vinod Ingle, Mahesh Gangadhar and M.D. Deepak
In recent times, there has been a lot of research focused on performance measurement (PM) in project-based sectors. However, there are very few studies that were reported on the…
Abstract
Purpose
In recent times, there has been a lot of research focused on performance measurement (PM) in project-based sectors. However, there are very few studies that were reported on the significance of PM in the construction sector. Keeping track of an organization in achieving organizations goals and objectives seems an important way. One of the major challenges faced by the industry is unavailable of an appropriate PM system for assessing organizational performance. Most of the PM approaches consider the traditional project triangle assessment of project success. Based on the limitations identified in existing PM models, the purpose of this paper is to develop a comprehensive PM model, i.e. Modified Project Quarter Back Rating (MPQR) applicable for construction projects.
Design/methodology/approach
A detailed list of performance areas as a method for PM is analyzed in the construction industry context. Also, industry-specific professionals conducted semi-structured interviews to assess whether these performance areas are sufficient to measure and understand the PM systems.
Findings
The research finding focuses on developing the MPQR model that considers both financial and non-financial areas for performance assessment to provide a holistic assessment of project performance.
Practical implications
MPQR model provides an opportunity to set the benchmark for overall performance for construction organizations.
Originality/value
The findings of the study are expected to provide guidelines to construction professionals for implementing the performance model that will improve performance in the construction industry.
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Justyna Bekier and Cristiana Parisi
This study examines how circular economy (CE) performance indicators are constructed in an urban context characterised by a multitude of conflicting interests and visions of urban…
Abstract
Purpose
This study examines how circular economy (CE) performance indicators are constructed in an urban context characterised by a multitude of conflicting interests and visions of urban development. It explores the process of constructing a shared consensus about the performance indicators in conditions of low contractibility, where intervention objectives and outcomes are not easily quantifiable because the object is ambiguous and cannot be fully specified in advance.
Design/methodology/approach
The construction of performance indicators at the urban level is examined through the lens of an action net. Using group interviews, observations and documentary analysis, this study investigates the case of a CE initiative in the city of Milan.
Findings
The study demonstrates that in cases of low contractibility, the development of CE solutions requires actions that span across organisational boundaries, organised in an action net. As the action net unfolds, it is closely knotted with the construction of performance indicators, indicating a co-constitutive relationship between the two processes.
Originality/value
This interdisciplinary study contributes to the public sector accounting literature by exploring the complexity of performance indicator construction at the urban level. It further recognises performance measurement in cities as a dynamic and flexible process, in which the interconnected actions and involvement of multiple actants shape the composition of the indicators.
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