A longitudinal study of the actual value of big data and analytics: The role of industry environment

Zhu, Suning; Dong, Tianxi; Luo, Xin

doi:10.1016/j.ijinfomgt.2021.102389

Cited by 29 publications

(32 citation statements)

References 97 publications

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“…This aligns with Zhu et al's (2021) suggestion to categorise big data and analytics implementations as exploration-oriented or exploitation-oriented when studying their value creation.…”

Section: Theoretical Implicationssupporting

confidence: 64%

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Untangling operational performance implication of ambidextrous blockchain initiatives: an empirical investigation of Chinese manufacturers

Tse

Wang

Liu

et al. 2022

IMDS

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PurposeBlockchain has been considered as a disruptive technology and every industry stands to benefit from it. According to Deloitte, increasing number of managers claim that their firms will suffer loss in competitive advantage if they do not adopt blockchain. Despite this motivation, insufficient knowledge on how can blockchain add value inhibits the commitment to its adoption. To better understand the possible influence of blockchain, two dimensions (exploitation and exploration) of blockchain initiatives are distinguished. This research aims to examine the impact of ambidextrous blockchain initiatives on firms' operational efficiency, as well as the moderating role of unabsorbed slack and environmental munificence.Design/methodology/approachIn this paper, secondary panel data were collected from multiple sources to test the proposed hypotheses. Content analysis was adopted to operationalise ambidextrous blockchain initiatives from firms' official announcements.FindingsThe authors find that firms' ambidexterity in blockchain initiatives have significantly positive impact on operational efficiency. Furthermore, when firms have lower unabsorbed slack or in more munificent environments, they may benefit from managing a balance between exploration and exploitation.Originality/valueThis research offers some insightful theoretical and managerial implications of ambidextrous blockchain initiatives. The findings of this study contribute to blockchain literature by providing theory-driven empirical research.

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“…This aligns with Zhu et al's (2021) suggestion to categorise big data and analytics implementations as exploration-oriented or exploitation-oriented when studying their value creation.…”

Section: Theoretical Implicationssupporting

confidence: 64%

“…is the technical inefficiency. Thus, the operational efficiency of firm in year can be expressed as follows (Zhu et al, 2021):…”

Section: [Insert Table 3 Here]mentioning

confidence: 99%

Untangling operational performance implication of ambidextrous blockchain initiatives: an empirical investigation of Chinese manufacturers

Tse

Wang

Liu

et al. 2022

IMDS

View full text Add to dashboard Cite

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“…Moreover, it suggests that firms in dynamic environments should focus on improving their capabilities rather than merely exploiting specific resources to gain a competitive advantage (Teece et al, 1997 ). A DDC is a critical intangible resource (Zhu et al, 2021 ) that can be referred as “the extent to which organizational members (including top-level executives, middle managers, and low-level employees) make decisions based on the insights extracted from data” (Gupta & George, 2016 , p. 1053). It is associated with assumptions, beliefs, and values that lead to organizational success (Chatterjee et al, 2021 ).…”

Section: Theory and Hypothesesmentioning

confidence: 99%

The effects of analytics capability and sensing capability on operations performance: the moderating role of data-driven culture

Wong

Ngai

2023

Ann Oper Res

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Studies indicate that organizational capability is a key factor in operational performance, and that both sensing and analytics capabilities have a significant influence on operational performance. This study develops a framework to examine the impact of organizational capability on operational performance, with a specific focus on the implementation of sensing and analytics capabilities. We combine strategic fit theory, the dynamic capability view, and the resource-based view to examine how micro, small, and medium enterprises (MSMEs) strategically integrate a data-driven culture (DDC) with their organizational capabilities to enhance operational performance. We carry out empirical research to investigate whether a DDC moderates the influence of organizational capability on operational performance. Structural equation modeling of survey data from 149 MSMEs reveals that both sensing and analytics capabilities have a positive impact on operational performance. The results also suggest that a DDC positively moderates the influence of organizational capability on operational performance. We discuss the theoretical and managerial implications of our findings, the limitations of the study, and opportunities for further research.

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“…Por outro lado, para manter um alto desempenho as empresas necessitam elaborar e colocar em prática planos de negócios e projetos de investimentos, definir objetivos corporativos em mercados estratégicos e estabelecer estratégias competitivas que lhes permitam obter vantagens competitivas sustentáveis perante os concorrentes, considerando os movimentos cíclicos do mercado, o que requer estudos da dinâmica industrial (PENG et al, 2022;SAADATMAND et al, 2018;PORTER, 2005). Desse modo, pesquisas para caracterização da dinâmica competitiva industrial se tornam um viés alternativo importante para mapeamento dos movimentos do mercado através de modelos interpretativos, com foco em fatores e variáveis correlacionadas com estratégias e desempenho (PENG et al, 2022;ZHU et al, 2021;SAADATMAND et al, 2020;ALMEIDA, 2018;PEHRSSON, 2009).…”

Section: Introductionunclassified

“…Para explicar o desempenho de sistemas produtivos são adotadas abordagens para alinhamento entre fundamento, método e aplicações em estudos empíricos (ZHU et al, 2021;DAI et al, 2017;UZUNIDIS, 2016). Em abordagens mais instrumentais, por meio da aplicação de modelos analíticos é possível caracterizar a estrutura industrial, identificar um padrão de conduta das empresas, o desempenho no mercado e seu posicionamento competitivo.…”

Section: Introductionunclassified

Dinâmica Competitiva Industrial: Variação dos Níveis de Concentração e seus Impactos na Indústria de Celulose no Brasil

ALMEIDA

Souza

2022

Anais Do Encontro Nacional De Engenharia De Produção

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A longitudinal study of the actual value of big data and analytics: The role of industry environment

Cited by 29 publications

References 97 publications

Untangling operational performance implication of ambidextrous blockchain initiatives: an empirical investigation of Chinese manufacturers

Untangling operational performance implication of ambidextrous blockchain initiatives: an empirical investigation of Chinese manufacturers

The effects of analytics capability and sensing capability on operations performance: the moderating role of data-driven culture

Dinâmica Competitiva Industrial: Variação dos Níveis de Concentração e seus Impactos na Indústria de Celulose no Brasil

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