Elucidation of IS project success factors: an interpretive structural modelling approach

Hughes, David L.; Rana, Nripendra P.; Dwivedi, Yogesh K.

doi:10.1007/s10479-019-03146-w

Cited by 64 publications

(58 citation statements)

References 97 publications

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“…Alryalat et al 2015 ; Chatterjee and Kar 2018 ; Chaudrie and Dwivedi 2005 ; Dwivedi and Williams 2008 ; Dwivedi et al 2007 , 2017 ; Kapoor et al 2014 ; Rana and Dwivedi 2015 ; Rana et al 2013a 2013b 2013c 2013d 2015a 2015b 2015c 2016 , 2017 ; Weerakkody et al 2007 2009 2017 ) and other IS success/failure projects (e.g. Hughes et al 2016 2017a 2017b 2020 ) for the proposed smart cities in India.…”

Section: Limitations and Future Research Directionsmentioning

confidence: 99%

“…Alryalat et al 2015;Chaudrie and Dwivedi 2005;Dwivedi and Williams 2008;Dwivedi et al 2007Dwivedi et al , 2017Kapoor et al 2014;Rana and Dwivedi 2015;Rana et al 2013aRana et al 2013bRana et al 2013cRana et al 2013dRana et al 2015aRana et al 2015bRana et al 2015cRana et al 2016Rana et al , 2017Weerakkody et al 2007Weerakkody et al 2009Weerakkody et al 2017) and other IS success/failure projects (e.g. Hughes et al 2016Hughes et al 2017aHughes et al 2017bHughes et al 2020 for the proposed smart cities in India.…”

Section: Limitations and Future Research Directionsmentioning

confidence: 99%

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Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework

et al. 2020

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The complex and interdependent nature of smart cities raises significant political, technical, and socioeconomic challenges for designers, integrators and organisations involved in administrating these new entities. An increasing number of studies focus on the security, privacy and risks within smart cities, highlighting the threats relating to information security and challenges for smart city infrastructure in the management and processing of personal data. This study analyses many of these challenges, offers a valuable synthesis of the relevant key literature, and develops a smart city interaction framework. The study is organised around a number of key themes within smart cities research: privacy and security of mobile devices and services; smart city infrastructure, power systems, healthcare, frameworks, algorithms and protocols to improve security and privacy, operational threats for smart cities, use and adoption of smart services by citizens, use of blockchain and use of social media. This comprehensive review provides a useful perspective on many of the key issues and offers key direction for future studies. The findings of this study can provide an informative research framework and reference point for academics and practitioners.

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Section: Limitations and Future Research Directionsmentioning

confidence: 99%

Section: Limitations and Future Research Directionsmentioning

confidence: 99%

Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework

et al. 2020

Self Cite

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“…This process seems to align with Yin and Luo [11], where the study notes that a formal model can, post hoc, assist decision makers in articulating the implicit reasoning behind their decisions. Recognizing that although ISM exhibits the required factor interdependency attributes, there are inherent factor ranking limitations within the method [52]. AHP was selected to generate the required ranking element of the experts' perspectives on factor interrelationships.…”

Section: B the Accelerator Case Studymentioning

confidence: 99%

“…ISM process (Hughes[52])Step 2: Develop the Structural Self -Interaction Matrix (SSIM), M, based on experts' view on extent of contextual relationships between the factors.…”

mentioning

confidence: 99%

The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis

Donne

Hughes

Williams

et al. 2023

IEEE Trans. Eng. Manage.

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Business accelerators play a key role in the initial critical stages of assessment of commercial viability, offering mentorship provision of funding and protection of intellectual property for product development and refinement. However, little is known about the decision making criteria and detailed analysis of the underlying criteria and interdependencies between the key factors used by accelerator organisations to fund start-ups. This study focusses on the decision making criteria utilised by a leading £21M accelerator programme, largely funded by the European Regional Development Fund for initial stage funding and intellectual property protection for product and innovation commercialisation. We incorporate a multimethodological interpretive based approach based on Day's 'Real-Win-Worth' framework to develop the interrelationships and ranking between the factors. The results highlight the significance and weighting attached to the factors associated with the technical competency of the proposer and evidence of demand existing for the product. We propose a new framework that models the key factor interrelationships offering additional insight to accelerator based decision making.

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“…A risk structure model to identify the risk factors of software projects in e-business has also been presented using ISM [81]. Hughes et al [82] used ISM and presented a framework to identify the interdependencies and influence of success factors of information system projects. Another study by Hughes et al [77] has used this approach to present a framework that provides insights into the relationships between the information system project failure factors.…”

Section: B Existing Models/framework Using Interpretive Structural Modeling (Ism) and Decision-making Trial And Evaluation Laboratory (Dementioning

confidence: 99%

A Framework of Software Project Scope Definition Elements: An ISM-DEMATEL Approach

Hassan

Asghar

2021

IEEE Access

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Software project scope definition is complicated due to the diversity and magnitude of the information needed. An inadequate scope definition often results in project failure as it continues to emerge as the major cause of delays, changes/rework, and cost and schedule overruns. Literature mentions different tools and methods to verify, quantify, and control software scope definition. However, none of these methods and tools help in defining a complete scope. Since a well-defined scope in the early stages is a core ingredient for project success, therefore, previously we developed a method that includes 45 elements of the software project scope definition. Although these elements are noteworthy for project scope, some may influence others; and should be concentrated on more when defining the scope of the software projects. The objective of this present study is that it builds on our previous research and uses Interpretive Structural Modeling (ISM) to extract the interrelationships among the elements and Decision Making Trial and Evaluation Laboratory (DEMATEL) to determine the intensity of these relationships. Experts from academia and the software development industry were consulted to identify the relationships among the elements. ISM-DEMATEL approach indicates that the project manager's competence is the main driver. Further, requirements, stakeholders' expectations, cost estimates, project schedule, resource estimation, project summary, communication, consultation, top management support are among the most influential elements that are critical to focus on. Moreover, the findings of the study provide project managers with a better understanding of the elements and their interconnections thus, helping in achieving a better scope definition.INDEX TERMS Interpretive structural modeling (ISM), decision making trial and evaluation laboratory (DEMATEL), scope definition, scope elements, scope management, software projects.

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Elucidation of IS project success factors: an interpretive structural modelling approach

Cited by 64 publications

References 97 publications

Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework

Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework

The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis

A Framework of Software Project Scope Definition Elements: An ISM-DEMATEL Approach

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