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1 – 3 of 3Dandan Zhu, Nina Michaelidou, Belinda Dewsnap, John W. Cadogan and Michael Christofi
This study aims to follow a rigorous approach to identify, critically analyze and synthesize 75 papers published from 2000 to 2022.
Abstract
Purpose
This study aims to follow a rigorous approach to identify, critically analyze and synthesize 75 papers published from 2000 to 2022.
Design/methodology/approach
The study presents a systematic literature review on identity expressiveness (IE), clarifying and expanding what is currently known about the concept.
Findings
To synthesize current knowledge on IE, the study uses the overarching framework of antecedents-phenomenon-consequences, using this same framework to identify gaps and future research directions. The findings show individual and brand-related factors such as the need for uniqueness and anthropomorphism as antecedents of IE, and eWOM/WOM, impulse purchases and upgrading to more exclusive lines as consequences of IE.
Research limitations/implications
The study contributes to theory by synthesizing and mapping current understanding of the state of knowledge on the concept of IE while highlighting gaps in the extant literature and paving future research directions for scholars in the field.
Practical implications
The study offers useful insights for practitioners, broadening marketers’ actionable options in identity-based marketing. Marketers can use insights from this study to inform marketing strategy and communication campaigns for different types of brands.
Originality/value
To the best of the authors’ knowledge, this study is the first of its kind and offers an integrative review of the current literature on IE, thus enhancing understanding of the concept, its antecedents and consequences. The study also contributes to knowledge by highlighting future research priorities for researchers in this field of enquiry.
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Douglas Aghimien, Clinton Ohis Aigbavboa, Daniel W.M. Chan and Emmanuel Imuetinyan Aghimien
This paper presents the findings from the assessment of the determinants of cloud computing (CC) deployment by construction organisations. Using the…
Abstract
Purpose
This paper presents the findings from the assessment of the determinants of cloud computing (CC) deployment by construction organisations. Using the technology-organisation-environment (TOE) framework, the study strives to improve construction organisations' project delivery and digital transformation by adopting beneficial technologies like CC.
Design/methodology/approach
This study adopted a post-positivism philosophical stance using a deductive approach with a questionnaire administered to construction organisations in South Africa. The data gathered were analysed using descriptive and inferential statistics. Also, the fusion of structural equation modelling (SEM) and machine learning (ML) regression models helped to gain a robust understanding of the key determinants of using CC.
Findings
The study found that the use of CC by construction organisations in South Africa is still slow. SEM indicated that this slow usage is influenced by six technology and environmental factors, namely (1) cost-effectiveness, (2) availability, (3) compatibility, (4) client demand, (5) competitors' pressure and (6) trust in cloud service providers. ML models developed affirmed that these variables have high predictive power. However, sensitivity analysis revealed that the availability of CC and CC's ancillary technologies and the pressure from competitors are the most important predictors of CC usage in construction organisations.
Originality/value
The paper offers a theoretical backdrop for future works on CC in construction, particularly in developing countries where such a study has not been explored.
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