The Future of Supply Chain Information Systems: The Open Source Ecosystem

Boehmke, Bradley C.; Hazen, Benjamin T.

doi:10.1007/s40171-017-0152-x

Cited by 25 publications

(12 citation statements)

References 31 publications

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“…M. Wong et al 2011;Gimenez et al 2012). In particular, the recent advent of the open source information system has made SCI and its influence to supply chain performance more susceptible to the exogenous factors (Boehmke and Hazen, 2017). These factors may include ones such as competitiveness of the supply chain's product; market uncertainty; national culture, technological environment, and even organisational characteristics.…”

Section: Introductionmentioning

confidence: 99%

From Supply Chain Integration to Operational Performance: The Moderating Effect of Market Uncertainty

Lü

Ding

Paul

2017

Glob J Flex Syst Manag

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This research examines the moderating effect of market uncertainty on the causal effects from supply chain integration to operational performance of a typical supply chain. Based on an extensive and critical literature review, two exploratory conceptual hypotheses have been developed for the non-linear relationship between the supply chain integration and operational performance of the original equipment manufacturer; and how may that relationship be moderated by a specific construct of market uncertainty. Empirical survey instrument has been designed and applied to gather the data from a wide spectrum of automotive industry in China. Confirmative factor analysis and threshold regression analysis were used as the primary research methodology to test the hypotheses. We find strong support to the hypotheses from the empirical evidence, which leads to the finding that the relationship between the supply chain integration and operational performance is 'non-linear', and the 'non-linearity' can be significantly moderated by the market uncertainty as one of the key environmental factors for the supply chain. This study extends the current literature by contributing for the first time the discussion of an analytical model that represents the causal effects from supply chain integration to its operational performance with respect to the market uncertainty as a moderating factor.Key words: Automotive industry; market uncertainty; operational performance; supply chain integration; supply chain management. IntroductionResearchers have long articulated the necessity of a close integration between manufacturers and their suppliers and customers in attempt to deliver the supply chain's optimum performance (Tavakoli et al. 2012; Flynn et al. 2010;Turkulainen and Ketokivi 2012;Zhao et al. 2013;Huang et al. 2014;Prajogo et al. 2015). The degree of interactions between the participating member of the supply chain and the appropriate inter-relationship postures have 2 become the widely acknowledged key enablers for supply chain success (Tyagi, et al., 2015).Supply chain integration and its processes that help to develop high level collaboration and partnership with supplier and buyer have been regarded as the undisputable factors for supply chain success (Droge et al. 2012;Wilden et al. 2013;). However, with the increased supply chain complexity and sprawling global diversity over the last decade, there has been a call to rethink the universal necessity as well as the theoretical validity of supply chain integration (SCI) under the renewed business environment in respect to its highly acclaimed contribution to the supply chain's competitive performance (Lambert and Cooper 2000;Asian et al. 2009;Liu and Cruz 2012;Huang et al. 2014;D. I. Prajogo et al. 2015;Sharifkhani et al. 2016; Somarin et al. 2017(a)).We argue that it is far from being certain that the level of the SCI integration will always be positively correlated with the optimum performance (Graham et al. 2005;Wook Kim 2006; Kim 2009). However, evidently, many p...

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Section: Introductionmentioning

confidence: 99%

From Supply Chain Integration to Operational Performance: The Moderating Effect of Market Uncertainty

Lü

Ding

Paul

2017

Glob J Flex Syst Manag

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“…Access source refers to the channels from developers to suppliers and from suppliers to users (Boehmke and Hazen 2017). Attackers can use attack methods for each part of the software life cycle to implant a backdoor or Trojan to achieve their intended purposes.…”

Section: Access Sourcementioning

confidence: 99%

“…Attackers can use attack methods for each part of the software life cycle to implant a backdoor or Trojan to achieve their intended purposes. Boehmke and Hazen (2017) proposed that OSS was widely used and had the potential to change the supply chain information system. Therefore, when considering the choice of OSS, its access source should be well evaluated to ensure availability.…”

Section: Access Sourcementioning

confidence: 99%

Evaluation indicators for open-source software: a review

et al. 2021

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In recent years, the widespread applications of open-source software (OSS) have brought great convenience for software developers. However, it is always facing unavoidable security risks, such as open-source code defects and security vulnerabilities. To find out the OSS risks in time, we carry out an empirical study to identify the indicators for evaluating the OSS. To achieve a comprehensive understanding of the OSS assessment, we collect 56 papers from prestigious academic venues (such as IEEE Xplore, ACM Digital Library, DBLP, and Google Scholar) in the past 21 years. During the process of the investigation, we first identify the main concerns for selecting OSS and distill five types of commonly used indicators to assess OSS. We then conduct a comparative analysis to discuss how these indicators are used in each surveyed study and their differences. Moreover, we further undertake a correlation analysis between these indicators and uncover 13 confirmed conclusions and four cases with controversy occurring in these studies. Finally, we discuss several possible applications of these conclusions, which are insightful for the research on OSS and software supply chain.

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“…There is a huge demand for establishing technology and research center for the world in India (Jain, 2019). To develop the global supply capabilities for the upcoming car market, manufacturers are looking for suppliers that have a network in the global supply chain (Maloni and Benton, 2000; Boehmke and Hazen, 2017; Piya et al , 2020). A local supplier is always in demand, but may not be feasible due to various factors such as lack of global capabilities (Contreras et al , 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

An analysis of growth-accelerating factors for the Indian automotive industry using modified TISM

Meena

Dhir

Sushil

2020

IJPPM

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PurposeThis study aims to identify and prioritize various growth-accelerating factors in the Indian automotive industry. It further develops a hierarchical model to examine the mutual interactions between the factors, their dependence and their driving power.Design/methodology/approachThis study first identifies the growth-accelerating factors and then uses the modified total interpretive structural modeling (m-TISM) framework, which is an extended version of TISM. It further uses MICMAC analysis to analyze the mutual interrelation between the identified factors.FindingsThis study highlights the interrelation amongst the factors using m-TISM model. A hierarchical model shows the level of autonomous, dependence, linkage and independent factors considering the Indian automotive industry. This study also provides the understanding related to the interdependence of growth-accelerating factors.Research limitations/implicationsThe government and practitioners could evaluate the growth-accelerating factors which have higher driving power for implementing efficient policies and strategy formulation. By implementing m-TISM model in the Indian automotive industry, auto manufacturers can become more productive and profitable. Future studies could use other methods such as expert opinion to derive the factors, and further model could be verified using structural equation modeling technique.Originality/valueThis study uses a novel m-TISM framework for the analysis of growth-accelerating factors in the context of the Indian automotive industry. It further provides a detailed theoretical and conceptual understanding relating to the philosophy and establishes an interrelation amongst these under-researched growth-accelerating factors.

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The Future of Supply Chain Information Systems: The Open Source Ecosystem

Cited by 25 publications

References 31 publications

From Supply Chain Integration to Operational Performance: The Moderating Effect of Market Uncertainty

From Supply Chain Integration to Operational Performance: The Moderating Effect of Market Uncertainty

Evaluation indicators for open-source software: a review

An analysis of growth-accelerating factors for the Indian automotive industry using modified TISM

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