2019
DOI: 10.20448/807.5.1.28.45
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The Dynamics of Firm-Level Investment Behaviour of Private Firms in Zimbabwe under Uncertainty, Corruption and High Taxation Regime

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Cited by 4 publications
(9 citation statements)
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“…A positive sign on a coefficient on a MLN regression model does not necessarily mean that an increase in the independent variable corresponds to an increase in the probability of choosing an outcome. Researchers routinely and wrongly assume that the sign and significance of MLN model coefficients can be used to evaluate their hypotheses (Muzurura, 2019).…”
Section: Discussionmentioning
confidence: 99%
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“…A positive sign on a coefficient on a MLN regression model does not necessarily mean that an increase in the independent variable corresponds to an increase in the probability of choosing an outcome. Researchers routinely and wrongly assume that the sign and significance of MLN model coefficients can be used to evaluate their hypotheses (Muzurura, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…When compared to other logistic models, the MNL model has an added advantage in that, it is possible to investigate a wider range of research questions in one study than permitted by other models. The model has more easily interpretable diagnostic statistic tests and is also more robust to violations of assumptions of equal variance-covariance matrices across independent variables (Muzurura, 2019).…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…Perceived Risk (PR)-Perceived risk is the probability that a future event or transaction arising out of the use of MLSs could result in undesirable outcomes that may lead outflows of economic benefits to rural secondary school students. Students and teachers tend to be anxious about security of their data, theft of identity when using MLSs and are likely to defer the adoption decision until fears of risk, safety and security are addressed (Muzurura, 2019).…”
Section: Justification Of Independent Variablesmentioning
confidence: 99%
“…Numerous factors have been found to hinder the adoption of MLSs in many developing countries. Some of the factors reported in empirical literature that affect the adoption of MBL in many developing economies include the following lack of resource access (Sarrab, Elbasir, & Alnaeli, 2016), inadequate training opportunities (Muzurura, 2019), lack of confidence amongst among teachers (Lien, 2014), paucity of time (Jambulingam, 2013), insufficient knowledge about integration of mobile learning in lessons (Khan, Al-Shihi, Al-Khanjari, & Sarrab, 2015), technical issues (Essary, 2014), poor administrative support and poor fit with the curriculum (Akeriwa et al, 2015;Mtebe & Raisamo, 2014), lack of self-motivation (Keengwe & Bhargava, 2014;Lien, 2014), lack of MLSs confidence (Clarke & Braun, 2013); lack of funding (Adedoja, Adelore, Egbokhare, & Oluleye, 2013), lack of skilled teachers (Akeriwa et al, 2015); poor supporting infrastructure (Bao, Xiong, Hu, & Kibelloh, 2013;Mtebe & Raisamo, 2014;Rambe & Bere, 2013) poor network connectivity (Macharia & Pelser, 2014;Sarrab. et al, 2016) lack of ICT integration in secondary school curriculum (Prajapati & Patel, 2014); lack of awareness of MLSs (Barani, 2014;Sarrab et al, 2015), and regular power interruptions (Mtebe & Raisamo, 2014).…”
mentioning
confidence: 99%
“…Subsequent to the increasing need for CSR, many companies in the oil and gas industry have been involved extensively in CSR concerns in recent years. An increase in issues that relate to the environment in which businesses operate has led many scholars to query the effectual application of ethical and sustainable actions within companies and the impact this may have on the firm's reputation and financial performance (FP) (Aroh et al, 2010;Bresciani & Ferraris, 2016;Cairns, De Andrade, & Landon, 2016;Del Giudice et al, 2017;Herbert, Nwaorgu, Onyilo, & Iormbagah, 2020;Jones, Comfort, Hillier, & Eastwood, 2005;Muzurura, 2019;Souza-Monteiro & Hooker, 2017).…”
Section: Introductionmentioning
confidence: 99%