Journal ArticleDOI
Leveraging supply chain visibility for responsiveness: The moderating role of internal integration
TLDR
In this article, the authors posit that a supply chain organization's internal integration competence provides complementary information processing capabilities required to yield expected responsiveness from greater supply chain visibility, and an analysis of data from 206 firms strongly supports this hypothesis.About:
This article is published in Journal of Operations Management.The article was published on 2013-11-01. It has received 310 citations till now. The article focuses on the topics: Supply chain & Service management.read more
Citations
More filters
Journal ArticleDOI
How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management
TL;DR: The study addresses two essential research questions and provides a theory-based understanding of the impacts and antecedents of organizational BDA usage, while also providing guidance regarding what managers should expect from usage of this rapidly emerging technology.
Journal ArticleDOI
Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications
TL;DR: In this paper, the authors proposed an application framework for the practitioners involved in the agri-food supply chain that identifies the supply chain visibility and supply chain resources as the main driving force for developing data analytics capability and achieving the sustainable performance.
Journal ArticleDOI
An investigation of visibility and flexibility as complements to supply chain analytics: An organizational information processing theory perspective
Ravi Srinivasan,Morgan Swink +1 more
TL;DR: Analysis of data from 191 global firms indicates that both demand and supply visibility are associated with the development of analytics capability, and analytics capability is shown to be more strongly associated with operational performance when supply chain organizations also possess organizational flexibility.
Journal ArticleDOI
Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
Yogesh K. Dwivedi,Laurie Hughes,Abdullah M. Baabdullah,Samuel Ribeiro-Navarrete,Mihalis Giannakis,Mutaz M. Al-Debei,Denis Dennehy,Bhimaraya A. Metri,Dimitrios Buhalis,Christy M. K. Cheung,Kieran Conboy,Ronan Doyle,Ram Janam Dubey,Vincent Dutot,Reto Felix,Dinesh Goyal,Anders Gustafsson,Chris Hinsch,Ikram Jebabli,Marijn Janssen,Young-Gab Kim,Jooyoung Kim,Stefan Koos,David Kreps,Nir Kshetri,Vikram Kumar,Keng-Boon Ooi,Savvas Papagiannidis,Ilias O. Pappas,Ariana Polyviou,Sang-Min Park,Neeraj Pandey,Maciel M. Queiroz,Ramakrishnan Raman,Philipp A. Rauschnabel,A Ranade Shirish,Marianna Sigala,Konstantina Spanaki,Garry Wei-Han Tan,M. K. Tiwari,Giampaolo Viglia,Samuel Fosso Wamba +41 more
TL;DR: The potential socio-economic impact of a fully functional persistent cross-platform metaverse has been examined in detail by combining the informed narrative and multi-perspective approach from experts with varied disciplinary backgrounds as discussed by the authors .
Journal ArticleDOI
Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry
Rameshwar Dubey,Nezih Altay,Angappa Gunasekaran,Constantin Blome,Thanos Papadopoulos,Stephen J. Childe +5 more
TL;DR: In this article, the authors examined when and how organizations create agility, adaptability, and alignment as distinct supply chain properties to gain sustainable competitive advantage, and provided a holistic study of the antecedents of agility, adaptive and alignment.
References
More filters
Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI
Common method biases in behavioral research: a critical review of the literature and recommended remedies.
TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Journal ArticleDOI
Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Journal ArticleDOI
Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Related Papers (5)
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more