Adoption of services and apps on mobile phones by micro-entrepreneurs in Sub-Saharan Africa

Paas, Leonard J.; Eijdenberg, Emiel L.; Masurel, Enno

doi:10.1177/1470785320938293

Cited by 10 publications

(4 citation statements)

References 62 publications

(109 reference statements)

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“…Regarding the antecedents of the use of mobile phones and apps for service purposes, it was found that the adoption of services and apps is driven by individual’s mobile phone technology maturity and business development (Paas et al 2021 ). An analysis of user’s feedback on Twitter of four prominent food delivery apps and app store reviews of these apps revealed that the main concerns of users are related to issues regarding customer service, orders, food, delivery, time, app, money, drivers, and restaurants (Williams et al 2020 ).…”

Section: Resultsmentioning

confidence: 99%

Food and social media: a research stream analysis

García-León

Teichert

2023

Manag Rev Q

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Interest in food and online communication is growing fast among marketing and business scholars. Nevertheless, this interest has been not exclusive to these areas. Researchers from different disciplines have focused their research on different concepts, target populations, approaches, methodologies, and theoretical backgrounds, making this growing body of knowledge richer, but at the same time difficult to analyze. In order to have a broader overview of this topic, this study analyzes the existent literature regarding food and social media in social sciences in order to identify the main research streams and themes explored. With this purpose, the present paper uses bibliometric methods to analyze 1356 journal articles by means of factor and social network analysis. The study contributes by revealing 4 clusters containing 11 dominant research streams within the social sciences, determining the linkages among the main research discourses, and recommending new future topics of research.

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Section: Resultsmentioning

confidence: 99%

Food and social media: a research stream analysis

García-León

Teichert

2023

Manag Rev Q

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“…Africa Cameroon [118] Africa Not specified [119] Africa Mozambique [120] Africa Sub-Saharan Africa [121] Africa Ghana, Kenya, Lesotho, Mozambique, Nigeria, Rwanda, Senegal, Tanzania and Uganda [122] Africa Not specified [123] Africa South Africa [124] Africa South Africa [128] Africa Africa Tunisia…”

Section: Citation Continent Specific Region/country [74]mentioning

confidence: 99%

Mobile Payment Applications in Countries with Low Financial Inclusion: A Multi-stakeholder Perspective Review

Stephen B. U.,

Archibong E. E.,

Asuquo P. M.

2024

JERR

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Aims: Mobile payment apps have become the most used mobile payment system, especially in underbanked regions. It has come be the most viable way of promoting access to and use of quality financial services, at affordable cost. As far as review works on use/adoption of mobile payment apps in low financial inclusion countries go, presentation has been from users’ perspective. Thus, under-emphasizing the challenges of other members of the m-payment app ecosystem. The work aims at describing such general challenges from the lenses of users, regulators and merchants of mobile payment apps. Also, pros and cons of some specific mobile payment apps in these regions are also provided in the work. Place and Duration of Study: The review covered literature covering m-payment adoption in low financial inclusion countries i.e. Asian and African countries, spanning 2015 to 2023. Methodology: In selecting the literature, we considered only journal publications considering specifically m-payment apps, and written in English. To achieve a measure of spread, major regions in the two continents were considered, and journal articles focusing on a particular country were limited to two. Conclusion: We observe that the challenges of m-payment apps from users’ perspective are mostly denser than other perspectives. Users’ and regulators’ concerns converge only so thinly. Only regulators’ task of enlightenment of users/customer of about demonetization policies mirrors one of users’ concerns, perceived trust. Users and merchants are both concerned with perceived risk and perceived ease of use concerns. The challenges of regulators as regards m-payment apps are quite dissimilar to those of merchants. In all, the observed disparate (or thin similarity of) concerns of the different m-payment app stakeholders strengthens the need for such an inclusive review done in this work.

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“…In QAM, studies of product portfolio developments addressed households’ acquisition of specific, durable product categories (Hebden and Pickering, 1974; Paroush, 1965); later studies analysed households’ financial product portfolios (Paas et al, 2007; Prinzie & Van den Poel, 2006), sequential customer adoption orders for mobile phone services (Paas et al, 2021), or consumer adoption of different green product categories (Juhl et al, 2017).…”

Section: Analytical Companies: Customer-centric ML Modelsmentioning

confidence: 99%

Marketing analytics stages: Demystifying and deploying machine learning

Paas

2023

International Journal of Market Research

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Organisations that develop analytical capabilities can leverage advanced data platforms and cloud-based solutions; they may also experiment with sophisticated machine learning algorithms. But when business analysts or data scientists fail to bridge the gaps among data, analytics, and decision-making, it might imply a premature implementation of complex data analytics. This article aims to derive clear guidelines from management literature to formulate a stepwise approach for deploying marketing analytics with increasing levels of complexity. Furthermore, we demystify the relevant jargon.

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Adoption of services and apps on mobile phones by micro-entrepreneurs in Sub-Saharan Africa

Cited by 10 publications

References 62 publications

Food and social media: a research stream analysis

Food and social media: a research stream analysis

Mobile Payment Applications in Countries with Low Financial Inclusion: A Multi-stakeholder Perspective Review

Marketing analytics stages: Demystifying and deploying machine learning

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