Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective

Yu, Wantao; Zhao, Gen; Liu, Qi; Song, Yamin

doi:10.1016/j.techfore.2020.120417

Cited by 145 publications

(125 citation statements)

References 58 publications

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“…Yu et al [30] Investigate the roles of BDAC in hospital supply chain integration and operational flexibility.…”

Section: Organizational Information Processing Theorymentioning

confidence: 99%

“…Employing OIPT, Srinivasan and Swink [29] identified demand and supply visibility as a foundational source of analytics capability and organizational flexibility as complementary to analytics capability and demonstrated that analytics capability is more strongly associated with operational performance when supply chain organizations also possess organizational flexibility. Yu et al [30] demonstrated that BDAC has a significant impact on three dimensions of hospital supply chain integration: inter-functional integration, hospital-patient integration, and hospital-supplier integration, and both hospitalpatient integration and hospital-supplier integration affect operational flexibility. Using a Delphi method, Roßmann et al [31] demonstrated that BDA applications enable uncertainty reduction in supply chain operations and enhance supply chain transparency, which facilitates fast decision making and responses to supply chain disruptions.…”

Section: Organizational Information Processing Theory (Oipt)mentioning

confidence: 99%

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Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

Lee

Mangalaraj

2022

BDCC

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Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. Currently, along with the recent development in machine learning and computing infrastructure, big data analytics in the supply chain are surging in importance. In light of the great interest and evolving nature of big data analytics in supply chains, this study conducts a systematic review of existing studies in big data analytics. This study presents a framework of a systematic literature review from interdisciplinary perspectives. From the organizational perspective, this study examines the theoretical foundations and research models that explain the sustainability and performances achieved through the use of big data analytics. Then, from the technical perspective, this study analyzes types of big data analytics, techniques, algorithms, and features developed for enhanced supply chain functions. Finally, this study identifies the research gap and suggests future research directions.

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“…Yu et al [30] Investigate the roles of BDAC in hospital supply chain integration and operational flexibility.…”

Section: Organizational Information Processing Theorymentioning

confidence: 99%

Section: Organizational Information Processing Theory (Oipt)mentioning

confidence: 99%

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

Lee

Mangalaraj

2022

BDCC

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“…The OIPT has been used to understand the performance implications of a wide variety of operational practices and capabilities, such as supply chain resilience [28], analytics capability [26], and big data analytics capability [29]. For example, based on the OIPT, big data analytics capability can improve hospital-patient integration, inter-functional integration, and hospital-supplier integration of the hospital supply chain, leading to the improvement of hospital operational efficiency [30]. From the OIPT, organizational resilience can be built based on a firm's information processing capability [28].…”

Section: Organizational Information Processing Theory and Organizational Resiliencementioning

confidence: 99%

Crisis Preparedness of Healthcare Manufacturing Firms during the COVID-19 Outbreak: Digitalization and Servitization

Zhang

Liang-qun

2021

IJERPH

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For healthcare manufacturing firms, creating a crisis-prepared product and service portfolio and operational processes is essential for their long-term prosperity. In this paper, we examine how healthcare manufacturing firms cope with the operational disruptions and opportunities associated with the COVID-19 pandemic. We highlight the central role of organizational resilience and examine whether servitization and digitalization can improve the organizational resilience of healthcare manufacturing firms. On the basis of the organizational information processing theory, we suggest that servitization and digitalization can improve the stability and flexibility of operations, which make healthcare manufacturing firms more resilient to the COVID-19 pandemic. The hypotheses were tested using survey data from 163 manufacturing firms located in China. The results indicate that both servitization and digitalization improve the organizational resilience of healthcare manufacturing firms, leading to higher firm growth during the COVID-19 pandemic. Moreover, organizational resilience mediates the impacts of servitization and digitalization on firm growth. Environmental dynamism strengthens the relationship between digitalization and organizational resilience. This study offers new insights for healthcare manufacturing firms to prepare for crisis events and achieve sustainable development in a highly competitive environment.

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“…The literature pays attention to the definition of appropriate evaluation methodologies aimed at assessing different flexible initiatives (Sushil, 2018 ). A conceptual framework emphasizes that sustainable supply chain flexibility increases in correspondence with managers' environmental attitudes and when managers' cognitive style is intuitive (Yu et al, 2021a , b ). This study confirms these previous analyses and identifies a framework capable of subdividing the different initiatives according to both driving power and dependence.…”

Section: Results Discussion and Implicationsmentioning

confidence: 99%

“…As global associations, regional groups, and countries plan the post-COVID19 recovery, there is a need to place the SDGs at the soul of policymaking (Elavarasan et al, 2021 ). Healthcare supply chains (HSCs) must be flexible and efficient to manage the challenges that have emerged in terms of matching the demand for health facilities with their supply (Yu et al, 2021a , b ). In addition, the pandemic has highlighted the value of real-time information and the enormous costs of ignoring repercussions.…”

Section: Introductionmentioning

confidence: 99%

Addressing the Challenges to Sustainable Initiatives in Value Chain Flexibility: Implications for Sustainable Development Goals

Dwivedi

Agrawal

Jha

et al. 2021

Glob J Flex Syst Manag

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The value chain refers to the source of competition to facilitate organizations to maximize and sustain value for their consumers. Value chain flexibility is necessary to build sustainable initiatives in addressing ambiguity. In the literature, there is a lack of framework to highlight the challenges to sustainable initiatives in value chain flexibility. This study fills this research gap by suggesting a framework for challenges to sustainable initiatives in value chain flexibility. In this study, thirteen potential challenges to sustainable initiatives in value chain flexibility are identified and an integrated model is developed. It adopts the modified Total Interpretive Structure Model and the Cross-Impact Matrix Multiplication Applied to Classification methodology. The mixed approach is used as the modified Total Interpretive Structure Model organizes the binary interactions among the challenges, while Cross-Impact Matrix Multiplication Applied to Classification analysis organizes specific precise assessments of the driving power and dependence of the challenges. The results of the study reflect that (i) lack of supplier commitment to sustainable products and (ii) lack of knowledge toward sustainability in value chains are the challenges that achieved the highest driving power. The challenge ‘inadequate communication among the suppliers in the value chain’ is at the highest level in the analysis. The proposed framework could help government and non-government bodies to formulate policies to efficiently address challenges to sustainable initiatives in value chain flexibility.

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Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective

Cited by 145 publications

References 58 publications

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

Crisis Preparedness of Healthcare Manufacturing Firms during the COVID-19 Outbreak: Digitalization and Servitization

Addressing the Challenges to Sustainable Initiatives in Value Chain Flexibility: Implications for Sustainable Development Goals

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