Exploring and Extending Research in Multi-vendor Software Ecosystem

Rani, Anshul; Mishra, Deepti; Omerovic, Aida

doi:10.1007/978-3-030-94191-8_30

Cited by 4 publications

(6 citation statements)

References 27 publications

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“…A comprehensive meta-analysis provided by Jadhav and Sonar (2011), involving 70 failed software projects, aimed to identify the causes of such failures. These findings reflect on the need of a systematic framework/guidelines for the entities involved in the software outsourcing (Rani et al 2021(Rani et al , 2022. The related literature is reviewed in these different directions as following: In comparison, studies (Hunink et al 2010;Van Den Berk et al 2010) presented the software ecosystem from different aspects however these studies do not provide the guidelines from a specific entity's perspective such as a company which outsources or a vendor which provides software services to the former.…”

Section: Related Work and Motivationmentioning

confidence: 64%

“…Analyzing vendor proposals and selecting one of the potential vendors require highly proficient personnel (Killen et al 2020;Rani et al 2021Rani et al , 2022 as analyzing the capabilities of each vendor and then evaluating those according to the company's strategic and architectural goals is a subjective task, which requires processing of qualitative data in large quantities (Jadhav and Sonar 2011;Plugge and Bouwman 2018). It can lead to challenges such as how this data can be presented and visualized comprehensibly to facilitate better decision support ) and to make it comply with the overall architectural/ strategic goals (Herath and Kishore 2009).…”

Section: Introductionmentioning

confidence: 99%

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A framework for software vendor selection by applying Inconsistency and Conflict Removal (ICR) method

Rani,

Mishra,

Omerovic

2023

Int J Syst Assur Eng Manag

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In a software ecosystem, companies’ stakeholders make various decisions and perform various tasks to ensure the strategic and architectural goals of the company. Analyzing vendor capabilities and making decisions to select software vendors requires expert professionals. To analyze vendors’ capabilities and accessing them according to the company’s strategic and architectural goals is presently an ad-hoc and manual process. Presently, there is no systematic process for ‘vendor analysis and selection’ specifically for the software industry. Therefore, this study introduces a novel framework which elaborates all the tasks required for vendor proposal evaluation. It also includes the automatic detection of inconsistencies and conflicts prevalent during this process. A new method called ‘Inconsistency and Conflict Removal (ICR)’ is proposed as part of this framework. ICR automates the process of spotting inconsistencies and conflicts by taking scores of vendor capabilities as input reported by different decision-makers. Further, to illustrate this framework, ‘a case of Hospital’ has been considered. This study provides valuable knowledge that would facilitate organizations in software vendor selection. It will lead to substantial savings in terms of economics, such as actual costs, time, and improved administrative processes.

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Section: Related Work and Motivationmentioning

confidence: 64%

Section: Introductionmentioning

confidence: 99%

A framework for software vendor selection by applying Inconsistency and Conflict Removal (ICR) method

Rani,

Mishra,

Omerovic

2023

Int J Syst Assur Eng Manag

Self Cite

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“…Figure 2 shows the framework designed for selecting vendors and associated requirements to compare different decision-making techniques against it. These requirements are inspired by the semi-structured literature survey conducted by the authors in studies [1], [24]. This framework has four main requirements enlisted for effective decision-making in the software ecosystem, as described in Figure 2.…”

Section: Requirement Framework For Selection Of Vendors In the Softwa...mentioning

confidence: 99%

“…Further, limited research articles utilising these techniques discuss on how to handle the conflicts and uncertainties between decision makers which may prevail during the decision making process [16], [1].…”

Section: Hybridmentioning

confidence: 99%

“…Businesses and industries are exploring innovative business models to adapt to the swift technological advancements. The software ecosystem emerges as a direct outcome of these experiments conducted by various companies [1]. As highlighted in a study conducted by Schwarz [2], organisations are willing to invest in an outsourcing relationship because they perceive its value.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Criteria Decision-Making Methods: A Case of Software Vendor Selection

Rani,

Mishra,

Omerovic

2024

TEM Journal

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Various multi-criteria decision-making methods have been utilized in literature to address vendor selection challenges in various contexts. This study reflects on these decision-making techniques for vendor selection in the software ecosystem during software outsourcing. For the same, firstly, a requirement framework for the decision-making process for software vendor selection is proposed. Afterwards, five selected different multi-criteria decision-making techniques are compared and critically analysed against this requirement framework. This study supports software practitioners and decision-makers by providing information about which decision-making method to choose, considering the trade-off between the benefits and drawbacks of adopting each method or using hybrid approaches by combining two or more techniques with fuzzy logic. It is found that decision-making techniques generally lack in modelling the problem itself and handling the conflicts and uncertainties that may prevail during the decision-making process. Furthermore, it has been identified that artificial neural networks (ANN) and analytic network process (ANP) can support the dependencies between alternatives and criteria while handling complex interactions in the software ecosystem. On the other hand, due to its comparative ease of use, analytic hierarchy process (AHP) can serve better in scenarios where decision-makers are not experienced, or past data to train the ANN or ANP models is unavailable.

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