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Article
Publication date: 17 December 2021

Samuel Adeniyi Adekunle, Clinton Ohis Aigbavboa, Obuks Ejohwomu, Emmanuel Abiodun Adekunle and Wellington Didibhuku Thwala

The construction industry has been traditionally referred to as slow when it comes to technological transformation. This study aims to investigate and present a scorecard of the…

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Abstract

Purpose

The construction industry has been traditionally referred to as slow when it comes to technological transformation. This study aims to investigate and present a scorecard of the construction industry in the past decade, the paper adopted Bibliometrics. The study identified the various digital transformation (DT) aspects in the construction industry and future research directions are also identified.

Design/methodology/approach

To achieve the aim of this research, an inductive approach was adopted through a grounded theory strategy. Secondary data was retrieved from the Scopus database and analysed using Biblioshiny and VOSviewer. The data was retrieved through specific keywords related to the study focus.

Findings

The study also proposed a balanced flow model for DT discussion in the construction industry. DT in the construction industry disrupts every aspect of the industry, albeit at different rates due to the existing barriers; hence, the study identified areas that require further research. It, thus, provides a theoretical and practical basis for researchers and practitioners alike.

Originality/value

The study reviewed the DT research discuss in the construction industry. It is worthy of note that this is the first study that analyses the DT of the construction industry in the past decade.

Details

Journal of Engineering, Design and Technology , vol. 22 no. 1
Type: Research Article
ISSN: 1726-0531

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Article
Publication date: 4 April 2023

Hayelom Yrgaw Gereziher and Naser Yenus Nuru

This paper aims to examine the asymmetric effects of exchange rate shocks on inflation for a small open economy, namely South Africa, over the period 1970Q1–2020Q1.

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Abstract

Purpose

This paper aims to examine the asymmetric effects of exchange rate shocks on inflation for a small open economy, namely South Africa, over the period 1970Q1–2020Q1.

Design/methodology/approach

A threshold vector autoregressive model that allows parameters to switch according to whether a threshold variable crosses an estimated threshold is employed to address the objective of this paper. The threshold value is determined endogenously using the Hansen (1996) test. Generalized impulse responses introduced by Koop et al. (1996) are used to study the effects of exchange rate shocks on inflation depending on their size, sign and timing to the inflation cycle. The authors also employed a Cholesky decomposition identification scheme to identify exchange rate shocks in the non-linear model.

Findings

The results show that there is a non-linearity effect of the exchange rate shock on inflation. In particular, the effects of 1 or 2 standard deviations of positive (appreciation) or negative (depreciation) exchange rate shock on inflation are small in the long run but a bit larger in the high inflation regime than the low inflation regime.

Originality/value

This paper contributes to the literature on the non-linear effects of exchange rate pass-through (ERPT) to inflation for Sub-Saharan African economies in general and the South African economy in particular by incorporating the size and timing of the exchange rate shocks to the inflation cycle.

Details

African Journal of Economic and Management Studies, vol. 14 no. 4
Type: Research Article
ISSN: 2040-0705

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