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Understanding employee competence, operational IS alignment, and organizational agility – An ambidexterity perspective

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TLDR
This study conceptualizes operational-level IS alignment (hereafter OISA) as an ambidextrous capability consisting of both structural and social alignments and examines its effect on organizational agility.
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This article is published in Information & Management.The article was published on 2018-09-01. It has received 58 citations till now. The article focuses on the topics: Ambidexterity & Competence (human resources).

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Structural Differentiation and Ambidexterity: The Mediating Role of Integration Mechanisms

TL;DR: The findings suggest that the previously asserted direct effect of structural differentiation on ambidexterity operates through informal senior team and formal organizational integration mechanisms, and contributes to a greater clarity and better understanding of how organizations may effectively pursue exploration and exploitation simultaneously to achieve ambideXterity.
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Business strategic orientation, information systems strategic orientation, and strategic alignment : working paper

TL;DR: In this article, the authors measured business strategic orientation, IS strategic orientation and IS strategic alignment, and investigated their implications for perceived IS effectiveness and business performance, and found that IS alignment is a better predictor of IS effectiveness than is strategic orientation.
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Achieving supply chain resilience: the role of supply chain ambidexterity and supply chain agility

TL;DR: In this paper, the role of supply chain ambidexterity in developing supply chain resilience is analyzed, and a set of hypotheses are tested through a survey of manufacturing firms in Pakistan.
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Interaction effect of strategic leadership behaviors and organizational culture on IS-Business strategic alignment and Enterprise Systems assimilation

TL;DR: Empirical analysis results suggest that idealized influence and inspirational motivation leadership behaviors are significant drivers of IS-Business strategic alignment, which further has a positive influence on Enterprise Systems assimilation.
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Open innovation for sustainability through creating shared value-role of knowledge management system, openness and organizational structure

TL;DR: The investigation demonstrates that all three conditions are necessary for (at different levels) creating shared values for OIS, and shows that the different levels of creation of shared value outcomes do require organizations to configure organizational interventions at different levels the knowledge management system, openness and organizational structure.
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Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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...
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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.
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Estimating Nonresponse Bias in Mail Surveys

TL;DR: This article used subjective estimates and extrapolations in an analysis of mail survey data from published studies for estimates of the magnitude of bias and found that the use of extrapolation led to substantial improvements over a strategy of not using extrapolation.
Book

Applied Linear Statistical Models

TL;DR: Applied Linear Statistical Models 5e as discussed by the authors is the leading authoritative text and reference on statistical modeling, which includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half.
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