Big data analytics capabilities and supply chain performance: testing a moderated mediation model using partial least squares approach

Al-Khatib, Ayman Wael; Ramayah, T.

doi:10.1108/bpmj-04-2022-0179

Cited by 29 publications

(26 citation statements)

References 121 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The recognition of the importance of emerging technologies in supporting performance in the supply chain is shown in the literature (Al-Khatib and Ramayah, 2023;Rajab et al, 2020;Ventura et al, 2023). Current recent studies have emphasized the importance of emerging technologies in improving efficiency, providing technological contributions and advanced analytical capabilities that transform the traditional supply chain form into a digital and smart form (Lohmer et al, 2022), providing several benefits at the level of the supply chain and the firms' organizational level.…”

Section: The Indirect Effect Of Scvmentioning

confidence: 99%

“…Firms operating in developing contexts, in particular the context of Middle Eastern countries, seek to adopt Industry 4.0 technologies in their manufacturing activities. A wide range of studies (Al-Khatib, 2022a, 2023a; Al-Khatib and Ramayah, 2023; Yavuz et al ., 2023) investigated the causal relationships between the adoption and use of Industry 4.0 technologies and the enhancement of supply chain performance and operational and organizational performance. Although these studies have investigated these relationships, there is a scarcity of empirical studies with theoretical and practical contributions that explore the relationships between Industry 4.0 technologies and sustainable performance.…”

Section: Introductionmentioning

confidence: 99%

“…With the emergence of the fourth industrial revolution concept, which constituted the turning point in adopting emerging technologies related to Industry 4.0, firms became more able to define their requirements and elements of their organizational success (Al-Khatib and Ramayah, 2023). These firms became smarter than before due to using big data analytics (BDA) and artificial intelligence (AI) techniques (Tortorella et al, 2022a, b), which turned the traditional business form toward smart business (Al-Khatib and Ramayah, 2023;Chatterjee et al, 2022;Al-Okaily et al, 2023).…”

mentioning

confidence: 99%

See 2 more Smart Citations

The impact of industrial Internet of things on sustainable performance: the indirect effect of supply chain visibility

Al-Khatib

2023

BPMJ

Self Cite

View full text Add to dashboard Cite

PurposeSustainable management has become a strategic and popular requirement for stakeholders, as the ability to create competitive advantages in the current dynamic business environment and the pressures of digital transformation need to be increased attention in achieving the highest level of sustainable performance. The main objective of this paper is to explore the direct effects of the industrial Internet of things and supply chain visibility on sustainable performance (economic performance, environmental performance and social performance), in addition to evaluating the indirect effects that supply chain visibility plays in these relationships.Design/methodology/approachTo achieve the purposes and objectives of this work, a conceptual model was developed by referring to the current works in the literature, and the theoretical model was developed, and then data were collected through the questionnaire and by the snowball sampling method, as 380 questionnaires were used. In the data analysis, the multivariate analysis technique was used via Covariance-based Structural Equation Modeling (CB-SEM), as hypothesized relationships were evaluated through confirmatory factor analysis (CFA), and then the hypotheses were tested through a structural model.FindingsThe results reached the acceptance of all hypotheses, and this means that all hypothesized relationships were positive, as the impact of the industrial Internet of things was positive on each of the supply chain visibility and economic performance, environmental performance and social performance, and also the supply chain visibility mediated the relationship between each of the industrial Internet of things and economic performance, environmental performance and social performance.Originality/valueThe current paper reported a range of theoretical and practical contributions, as this study is the first to examine these hypothesized relationships together in this way and thus helped this study to develop new perceptions about Industry 4.0 technologies and their potential impacts on supply chain and sustainable performance. Also, this study had a variety of management recommendations that allow managers of pharmaceutical manufacturing companies operating in Jordan to develop their technological capabilities and use them to enhance sustainable performance.

show abstract

Section: The Indirect Effect Of Scvmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

The impact of industrial Internet of things on sustainable performance: the indirect effect of supply chain visibility

Al-Khatib

2023

BPMJ

Self Cite

View full text Add to dashboard Cite

show abstract

“…The digital transformation age has witnessed considerable advances in data management and intelligent technologies that changed almost all business aspects such as financial, accounting, commerce, marketing, command and control. The enormous volumes of business data led firms to depend more on smart systems to assist in the analysis of big data and make the right decisions that support the firm's competitiveness (AL-Khatib and Ramayah, 2023; Khaw and Teoh, 2023). The fundamental objective of the cutting-edge technologies embedded in artificial business intelligence is to enhance new ways of collecting and analysing data that help companies improve their decision-making ethos by using data analytics (Nisar et al , 2020; Al-Khatib, 2022a).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis

Al-Okaily

Teoh

Al-Okaily

2023

BPMJ

101

View full text Add to dashboard Cite

PurposeA crucial question still remains unanswered as to whether data analytics-oriented business intelligence (hereafter, BI) technologies can bring organizational value and benefits. Thereby, several researchers called for further empirical research to extend the limited knowledge in this critical area. In an attempt to deal with this issue, we presented and tested a theoretical model to assess BI effectiveness at the organizational benefits level in this research article.Design/methodology/approachThe suggested research model expands the application of the DeLone and McLean model in BI technology success or effectiveness research from individual level to organizational level. A cross-sectional survey is developed to obtain primary quantitative data from business and technology managers who are depending on BI technologies to make operational, technical and strategic decisions in Jordanian-listed firms.FindingsEmpirical findings show that system quality, information quality and training quality are significant predictors of user satisfaction, but not of perceived benefit. Data quality was found to be a strong predictor of both perceived benefit and user satisfaction. The influence of perceived benefit on user satisfaction was significant in turn both factors positively affect organizational benefits.Originality/valueThis research paper is a pioneering effort to assess BI technology effectiveness at an organizational level outside the context of developed countries. To the best of the authors’ knowledge, no prior research has combined all dimensions used in this research in one single model.

show abstract

“…However, to the best of our knowledge and literature studies, most scholars did not examine such a connection, which allowed me to investigate the linking of GT and employee knowledge efficiency in terms of the supply chain. In this association, the study of Al-Khatib and Ramayah (2023) analyzed supply performance based on data-driven culture. The study outcome indicated a positive connection between supply chain and innovation performance.…”

Section: Introductionmentioning

confidence: 99%

Mediation approach of knowledge management process towards supply chain performance under green technology: an empirical analysis

Alam¹,

Zhang²,

Shehzad³

et al. 2023

BPMJ

View full text Add to dashboard Cite

PurposeEmployee knowledge is an essential contributor to managing supply chain ambiguities and supply improvement. The current research examined green technology (GT) implementation and knowledge management (KM) processes toward knowledge worker supply performance (KWSP). The present study postulates that GT implementation's positive impacts on the KM process and KM process lead to improved KWSP based on employee knowledge contribution.Design/methodology/approachTo accomplish the research objective, the data were taken from those production houses that are utilizing GT. A total of 400 questionnaires were distributed in Zhengzhou city, and feedback was received (343). The feedback data were studied through partial least squares-structural equation modelling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). fsQCA is used to analyze improving the multiple configurational paths of KWSP.FindingsThe study revealed that GT implementation is positively associated with the KM process, and KM processes substantially influence the improvement of KWSP. The consequence of fsQCA demonstrated that various combinations improve supply chain performance. The study combines certain dimensions of GT implementation with the KM process, revealing that supply chain performance improved based on knowledge sharing in manufacturing firms.Research limitations/implicationsThis study guides decision-makers and academics on using the knowledge process associated with GT to improve supply chain performance. Moreover, future researchers should use information technology in supply houses and compare the result with the literature to generalize the results better.Originality/valueThe asymmetric technique assists in differentiating the connections that are not directly investigated by the traditional symmetric method. The study covers and identifies various approaches that can be used in manufacturing firms to improve the supply chain process and employee satisfaction. The study combines the two techniques to understand supply performance based on knowledge sharing in manufacturing firms.

show abstract

Big data analytics capabilities and supply chain performance: testing a moderated mediation model using partial least squares approach

Cited by 29 publications

References 121 publications

The impact of industrial Internet of things on sustainable performance: the indirect effect of supply chain visibility

The impact of industrial Internet of things on sustainable performance: the indirect effect of supply chain visibility

Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis

Mediation approach of knowledge management process towards supply chain performance under green technology: an empirical analysis

Contact Info

Product

Resources

About