IPD-inspired framework for measuring stakeholder integration in public-private partnerships

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zeina Malaeb ◽  
Farook R. Hamzeh

Purpose In a public-private partnership (PPP), the private sector is represented by a company termed the special purpose vehicle (SPV), which combines different stakeholders including designers, contractors and service providers under one umbrella. Correct SPV team selection is critical to ensure PPP success as the SPV must act as an integrated entity. In fact, unless the SPV takes an active role in developing trust and promoting integration principles, segmentation of interests, highly adversarial atmospheres, loss of value and economic inefficiency will prevail. Absence of awareness of such principles among stakeholders and the scarcity of literature investigating SPV stakeholder integration create great risks that jeopardize project success. Accordingly, to mitigate the aforementioned risks and provide stakeholders with both the knowledge and the tools to instigate and maintain integration, this paper aims to develop and test a framework to measure SPV stakeholder integration, inspired by the correlation between integrated project delivery (IPD) and SPV operations. Design/methodology/approach Following a design science research approach, a structured review is conducted to develop the SPV integration metrics and framework. The framework is then validated through face validation by a panel of industry and academic experts to assess its applicability in measuring SPV integration. Finally, the framework is tested on a well-recognized international PPP project to measure the SPV integration level, and the outcomes are discussed and analyzed. Findings The framework was able to assess the integration level of the studied SPV highlighting several areas of low-integration settings and providing guidance for achieving better integration. Originality/value This research is the first that develops a model to investigate the SPV’s integration level, from a holistic IPD perspective, to enable successful relationship management and enhance collaboration success. This study inspires practical recommendations for PPP practitioners to reduce the risks of segregated SPVs and their contribution to PPP failure.

2019 ◽  
Vol 26 (6/7) ◽  
pp. 831-854
Author(s):  
Dina Elikan ◽  
Yves Pigneur

Purpose Being able to communicate a clear identity to different stakeholders is crucial for SMEs and startups in today’s world, which is characterised by accelerated innovation, growing competition and increasingly connected consumers. However, this can be a complex task for small organisations. The purpose of this paper is to propose a visual tool that supports entrepreneurs in SMEs and startups to collaboratively develop their identity communication strategy. Design/methodology/approach The paper follows a design science research approach. The authors propose the design of a tool as well as some preliminary qualitative evaluations. The authors conducted three iterations between design and evaluation, where the results of the evaluations are implemented in the design. Findings The authors demonstrate how to design strategic tools for allowing teams to co-design their identity communication strategy and present the tool. The authors also evaluate its use and find out through the preliminary evaluations that it could be easy to use and useful for practitioners. Originality/value The originality of this paper lays in the novelty of the tool and its development. Such a tool addressing identity communication strategy has not been developed with a scientific approach until now.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Srinimalan Balakrishnan Selvakumaran ◽  
Daniel Mark Hall

Purpose The purpose of this paper is to investigate the feasibility of an end-to-end simplified and automated reconstruction pipeline for digital building assets using the design science research approach. Current methods to create digital assets by capturing the state of existing buildings can provide high accuracy but are time-consuming, expensive and difficult. Design/methodology/approach Using design science research, this research identifies the need for a crowdsourced and cloud-based approach to reconstruct digital building assets. The research then develops and tests a fully functional smartphone application prototype. The proposed end-to-end smartphone workflow begins with data capture and ends with user applications. Findings The resulting implementation can achieve a realistic three-dimensional (3D) model characterized by different typologies, minimal trade-off in accuracy and low processing costs. By crowdsourcing the images, the proposed approach can reduce costs for asset reconstruction by an estimated 93% compared to manual modeling and 80% compared to locally processed reconstruction algorithms. Practical implications The resulting implementation achieves “good enough” reconstruction of as-is 3D models with minimal tradeoffs in accuracy compared to automated approaches and 15× cost savings compared to a manual approach. Potential facility management use cases include the issue and information tracking, 3D mark-up and multi-model configurators. Originality/value Through user engagement, development, testing and validation, this work demonstrates the feasibility and impact of a novel crowdsourced and cloud-based approach for the reconstruction of digital building assets.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Beda Barkokebas ◽  
Salam Khalife ◽  
Mohamed Al-Hussein ◽  
Farook Hamzeh

PurposeThe research introduces means for improving premanufacturing processes (design, procurement and bidding) by leveraging digitalisation in offsite construction. Specifically, this paper proposes a framework that provides measures for the planning and implementation of digitalisation in offsite construction by positioning building information modelling (BIM) as the key technology and lean principles to add value and reduce waste.Design/methodology/approachThe paper follows the design science research approach to develop the proposed framework and attain the aforementioned objective. The developed framework includes data collection, value-stream mapping and simulation to assess current processes, develop and propose improvements. An empirical implementation is employed to demonstrate the applicability of both the framework and the measures used to evaluate the outcomes.FindingsThe application of the proposed three-stage framework resulted in 9.45%–23.33%-time reduction per year for the various improvement categories in premanufacturing phases. Employing simulation and applying the developed measures provide incentive for upper management to adopt the suggested improvements. Additionally, while the empirical implementation was tested on a modular construction company, the methods used indicate that the framework, with its generic guidelines, could be applied and customized to any offsite company.Originality/valueWhile several studies propose that BIM-Lean integration offers an advantage in the context of production systems, this paper focuses on the initial design and planning phases, which are mostly overlooked in the literature. Moreover, the present study provides quantitative evidence of the benefits of data integration through BIM technology.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michele Colli ◽  
Verena Stingl ◽  
Brian V. Waehrens

PurposeThe research aims to investigate how firms can develop their sensing capabilities for Industry 4.0 (I4.0) technology adoption through reframing their opportunity perceptions related to learnings from I4.0 initiatives.Design/methodology/approachThe research follows a design science research approach. Following the case of I4.0 technology introduction at a large food manufacturer, the paper develops a theoretical framework (artefact) and validates the applicability and efficacy of the framework within the case study.FindingsThe theoretical framework highlights the different temporal (short-term/long-term) and locational (direct/indirect) value dimensions of I4.0 opportunities. The findings show that the use of the framework can shift managers’ perception regarding the business value of an I4.0 technology implementation. Specifically, the framework reversed initially negative perceptions around a narrowly scoped business case towards an opportunity-oriented attitude exploring further potentials of the technology.Research limitations/implicationsThe research adds to the debate when and why firms engage in, and sustain their I4.0 initiatives by providing a novel perspective on firms’ sensing capabilities. As a single-case study, the framework requires further validation in practice.Practical implicationsThe proposed framework provides practitioners with an extended view concerning the potential value of digital transformation projects and serves as a conversational tool.Originality/valueThe presented wider frame for evaluating digital transformation projects, taking into account the more “intangible” value of their learnings, tackles the fundamental issue of translating explorative innovation efforts into exploitative value – a key challenge when dealing with innovation and one of the main barriers for the digital transformation.


2019 ◽  
Vol 27 (3) ◽  
pp. 680-699
Author(s):  
Cecilia Gravina da Rocha ◽  
Hana B.C. El Ghoz ◽  
Sidnei Jr Guadanhim

Purpose The purpose of this paper is to examine the fundamental underpinnings of product modularity and how these can be adapted to construction and its specificities (e.g. one-off products delivered by temporary supply chains) to create a model to design modular buildings. Design/methodology/approach This research adopts a design science research approach. Explanation I (substantive theory devising based on the analysis of an artefact ‒ a low-income housing project) is used, followed by Solution Incubation (a model to implement product modularity in buildings design). Findings The model allows product modularity to be implemented at distinct levels (i.e. building, systems and components) at a single stage (building design), different from manufacturing where each level is considered at a distinct stage. This is in line with the project investigated: modularity was considered for house layouts, roof types and gable formats. Practical implications The model provides a hands-on tool for practitioners to design modular buildings. The low-income project is also extensively detailed: three-dimensional models, floor plans and conceptual diagrams (outlining how fundamental underpinnings were applied at each level) are presented. There is a lack of comprehensive accounts such as the one presented here to demonstrate the application of product modularity in real-world projects. Originality/value This paper identifies and adapts the fundamental underpinnings of product modularity to construction, and it details how these were applied to a low-income housing design at distinct levels. Based on these two endeavours, a model to implement product modularity in buildings design is proposed.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Erik Bergström ◽  
Fredrik Karlsson ◽  
Rose-Mharie Åhlfeldt

Purpose The purpose of this paper is to develop a method for information classification. The proposed method draws on established standards, such as the ISO/IEC 27002 and information classification practices. The long-term goal of the method is to decrease the subjective judgement in the implementation of information classification in organisations, which can lead to information security breaches because the information is under- or over-classified. Design/methodology/approach The results are based on a design science research approach, implemented as five iterations spanning the years 2013 to 2019. Findings The paper presents a method for information classification and the design principles underpinning the method. The empirical demonstration shows that senior and novice information security managers perceive the method as a useful tool for classifying information assets in an organisation. Research limitations/implications Existing research has, to a limited extent, provided extensive advice on how to approach information classification in organisations systematically. The method presented in this paper can act as a starting point for further research in this area, aiming at decreasing subjectivity in the information classification process. Additional research is needed to fully validate the proposed method for information classification and its potential to reduce the subjective judgement. Practical implications The research contributes to practice by offering a method for information classification. It provides a hands-on-tool for how to implement an information classification process. Besides, this research proves that it is possible to devise a method to support information classification. This is important, because, even if an organisation chooses not to adopt the proposed method, the very fact that this method has proved useful should encourage any similar endeavour. Originality/value The proposed method offers a detailed and well-elaborated tool for information classification. The method is generic and adaptable, depending on organisational needs.


Author(s):  
Aline Dresch ◽  
Douglas Rafael Veit ◽  
Pedro Nascimento de Lima ◽  
Daniel Pacheco Lacerda ◽  
Dalila Cisco Collatto

PurposeThe purpose of this paper is to present a method for assisting micro and small companies of the industrial sector with the adoption of Lean practices.Design/methodology/approachThe paper outlines the method construction steps, which used a design science research approach.FindingsThis research led to the structuring of a method for implementing Lean Manufacturing tools in micro and small companies of the industrial sector. The developed method contributed to the knowledge in Lean Manufacturing by systematizing its tools in a heuristic approach that can be applied to an operation using overall equipment effectiveness (OEE) as a guiding indicator.Practical implicationsThis method can be used to guide the implementation of Lean tools in SMEs industries.Originality/valueThe originality of this paper lies in the adoption of an operation-focused approach only (rather than an approach that begins with the mapping of an entire process) and the use of OEE as the basis for prioritization of improvements to be performed and operational control.


2019 ◽  
Vol 30 (1) ◽  
pp. 243-261
Author(s):  
Shuang Geng ◽  
Lijing Tan ◽  
Ben Niu ◽  
Yuanyue Feng ◽  
Li Chen

Purpose Although digitalization in the workplace is burgeoning, tools are needed to facilitate personalized learning in informal learning settings. Existing knowledge recommendation techniques do not account for dynamic and task-oriented user preferences. The purpose of this paper is to propose a new design of a knowledge recommender system (RS) to fill this research gap and provide guidance for practitioners on how to enhance the effectiveness of workplace learning. Design/methodology/approach This study employs the design science research approach. A novel hybrid knowledge recommendation technique is proposed. An experiment was carried out in a case company to demonstrate the effectiveness of the proposed system design. Quantitative data were collected to investigate the influence of personalized knowledge service on users’ learning attitude. Findings The proposed personalized knowledge RS obtained satisfactory user feedback. The results also show that providing personalized knowledge service can positively influence users’ perceived usefulness of learning. Practical implications This research highlights the importance of providing digital support for workplace learners. The proposed new knowledge recommendation technique would be useful for practitioners and developers to harness information technology to facilitate workplace learning and effect organization learning strategies. Originality/value This study expands the scope of research on RS and workplace learning. This research also draws scholarly attention to the effective utilization of digital techniques, such as a RS, to support user decision making in the workplace.


2020 ◽  
Vol 4 (3) ◽  
pp. 231-243
Author(s):  
Chepkoech C. Kiptoo

Purpose This paper aims to investigate the use of crowdsourcing in the enhancement of an ontology of taxonomic knowledge. The paper proposes a conceptual architecture for the incorporation of crowdsourcing into the creation of ontologies. Design/methodology/approach The research adopted the design science research approach characterised by cycles of “build” and “evaluate” until a refined artefact was established. Findings Data from a case of a fruit fly platform demonstrates that online crowds can contribute to ontology enhancement if engaged in a structured manner that feeds into a defined ontology model. Research limitations/implications The research contributes an architecture to the crowdsourcing body knowledge. The research also makes a methodological contribution for the development of ontologies using crowdsourcing. Practical implications Creating ontologies is a demanding task and most ontologies are not exhaustive on the targeted domain knowledge. The proposed architecture provides a guiding structure for the engagement of online crowds in the creation and enhancement of domain ontologies. The research uses a case of taxonomic knowledge ontology. Originality/value Crowdsourcing for creation and enhancement of ontologies by non-experts is novel and presents opportunity to build and refine ontologies for different domains by engaging online crowds. The process of ontology creation is also prone to errors and engaging crowds presents opportunity for corrections and enhancements.


2016 ◽  
Vol 23 (5) ◽  
pp. 1054-1075 ◽  
Author(s):  
Leonie Cassidy ◽  
John Hamilton

Purpose – Literature-identified website benchmarking (WB) approaches are generally time consuming, survey based, with little agreement on what and how to measure website components. The purpose of this paper is to establish a theoretical approach to WB. A comprehensive design science research methodology (DSRM) artifact facilitates the evaluation of the website against the universal set of benchmark components. This knowledge allows managers to gauge/reposition their websites. Design/methodology/approach – DSRM establishes a website analysis method (WAM) artifact. Across six activities (problem identification, solution objective, artifact design/development, artifact demonstration, artifact evaluation, results communication), the WAM artifact solves the DSRM-identified WB problem. Findings – The WAM artifact uses 230 differentiated components, allowing managers to understand in-depth and at-level WB. Typological website components deliver interpretable WB scores. Website comparisons are made at domain (aesthetic, marketing, technical) and/or functional levels. Research limitations/implications – New/emergent components (and occasionally new functions) are included (and redundant components removed) as upgrades to the DSRM WAM artifact’s three domains and 28 functions. Such modifications help keep latest benchmarking comparisons (and/or website upgrades) optimized. Practical implications – This DSRM study employs a dichotomous present/absent component approach, allowing the WAM artifact’s measures to be software programmed, and merged at three different levels, delivering a useful WB tool for corporates. Originality/value – DSRM identifies the benchmarking problem. Rough-cut set-theory and mutual-exclusivity of components allow the causal-summing of typological website components into an objective WAM artifact WB solution. This new, comprehensive, objective-measurement approach to WB thus offers comparative, competitive, and website behavioral implications for corporates.


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