Big Data Analytics Capability and Business Alignment for Organizational Agility

Xie, Chaohong; Xu, Xianhao; Gong, Yeming; Xiong, Jie

doi:10.4018/jgim.302915

Cited by 29 publications

(12 citation statements)

References 97 publications

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“…The scales created by Xie et al . (2018a, b), which encompass 12 items relevant to data resources for acquisition ability, analysis and integration ability, and application ability, form the foundation for our evaluations of big data competence. A sample item is “companies have easy access to internal and external data resources that support their business.”…”

Section: Methodsmentioning

confidence: 99%

Achieving manufacturing supply chain resilience: the role of paradoxical leadership and big data analytics capability

Xu,

Liu

2023

JMTM

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PurposeDespite the escalating significance and intricate nature of supply chains, there has been limited scholarly attention devoted to exploring the cognitive processes that underlie supply chain management. Drawing on cognitive-behavioral theory, the authors propose a moderated-mediation model to investigate how paradoxical leadership impacts manufacturing supply chain resilience.Design/methodology/approachBy conducting a two-wave study encompassing 164 supply chain managers from Chinese manufacturing firms, the authors employ partial least squares structural equation modeling (PLS-SEM) to empirically examine and validate the proposed hypotheses.FindingsThe findings indicate that managers' paradoxical cognition significantly affects supply chain resilience, with supply chain ambidexterity acting as a mediating mechanism. Surprisingly, the study findings suggest that big data analytics negatively moderate the effect of paradoxical cognition on supply chain ambidexterity and supply chain resilience, while positively moderating the effect of supply chain ambidexterity on supply chain resilience.Research limitations/implicationsThese findings shed light on the importance of considering cognitive factors and the potential role of big data analytics in enhancing manufacturing supply chain resilience, which enriches the study of behavioral operations.Practical implicationsThe results offer managerial guidance for leaders to use paradoxical cognition frames and big data analytics properly, offering theoretical insight for future research in manufacturing supply chain resilience.Originality/valueThis is the first empirical research examining the impact of paradoxical leadership on supply chain resilience by considering the role of big data analytics and supply chain ambidexterity.

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Section: Methodsmentioning

confidence: 99%

Achieving manufacturing supply chain resilience: the role of paradoxical leadership and big data analytics capability

Xu,

Liu

2023

JMTM

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“…Notwithstanding this study's mixed results on the positive influence of information success on employees' perceptions of different types of sustainability, future researchers may test various information system variables using different measures of sustainability. For instance, industry 4.0 technology deployment like machine learning, data analytics, cloud computing, or robotics could foster more sustainable practices at the organizational level [92][93][94][95][96][97][98][99][100][101]. In addition, game theory approaches can offer models to understand how interactions between actors influence outcomes [102][103][104].…”

Section: Future Research Directionsmentioning

confidence: 99%

Information System Success for Organizational Sustainability: Exploring the Public Institutions in Saudi Arabia

et al. 2023

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Organizational sustainability supports the financial, social, and cultural well-being of organizations and their surrounding communities. However, few studies have examined organizational sustainability in Saudi Arabia or its link to information technology. This study used self-reported data from a large sample of employees at various Saudi government institutions to conclude that these institutions moderately implemented organizational sustainability. Correlation and regression analyses demonstrated weak associations between various types of organizational sustainability and dimensions of information system success, where user satisfaction with information systems is the strongest positive predictor of perceived organizational sustainability. Organizational sustainability is still emerging in the public sector, and further research is needed to identify predictors of its success.

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“…However, while such definitions agree in terms of the general accessibility and usability of data, they do not provide specific technical conditions that data must fulfil in order to qualify as 'open'. These conditions are that, for data to be 'open', it should meet eight principal conditions: i.e., it should be primary, comprehensive, accessible, timely, machine-readable, non-discriminatory non-proprietary, and without charge [13,14,30].…”

Section: Literature Reviewmentioning

confidence: 99%

Transitioning to Smart Cities in Gulf Cooperation Council Countries: The Role of Leadership and Organisational Culture

et al. 2023

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The concept of Society 5.0, first introduced by Japan in 2016, has become a widely accepted model for the development of social infrastructures across the world. It is a model which is expected to take root globally over the next few years. It is also a model which has smart cities, which are connected and inclusive, at its core. The role of open data is critical to smart cities, and the ability to design and implement strategies for its use is a crucial element in their growth and success. This requires a leadership and organisational culture that embraces the concept of open government data (OGD) and understands its key role in the development of smart cities. In this paper, we examine how the leadership and organisational culture in Gulf Cooperation Council (GCC) Countries has impacted the progress of OGD initiatives and, therefore, the transition to smart cities. This is approached via a re-analysis of data from an earlier study in which semi-structured interviews were used to understand the views and attitudes of a range of senior government department personnel in OGD-related roles, where here a new thematic analysis seeks to identify clearer pointers to attitudes and practices directly relating to smart cities and Society 5.0. The focus on internal factors, such as leadership attitudes and organisational culture, as opposed to external factors, such as technology and resources, differentiates this research from previous studies and adds to our current knowledge. The findings lead to a discussion that identifies a likely gap in the leadership provided by more senior figures. A pilot study of a group of these leaders suggests a generalised problem with communication of policy, objectives and strategies, which is crucial to overcoming cultural impediments to smart city development. While further research is required, a need clearly emerges for significant changes in attitude and application at senior managerial and leadership levels if strategic goals are to be achieved. The paper also makes a number of specific recommendations for activities that could improve progress and indicate areas where more research would be beneficial.

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Big Data Analytics Capability and Business Alignment for Organizational Agility

Cited by 29 publications

References 97 publications

Achieving manufacturing supply chain resilience: the role of paradoxical leadership and big data analytics capability

Achieving manufacturing supply chain resilience: the role of paradoxical leadership and big data analytics capability

Information System Success for Organizational Sustainability: Exploring the Public Institutions in Saudi Arabia

Transitioning to Smart Cities in Gulf Cooperation Council Countries: The Role of Leadership and Organisational Culture

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