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Technological advancement has transformed the grocery retail, fundamentally altering how consumers interact with retailers and purchase essential goods. Despite rapid digital adoption since the COVID-19 pandemic, uptake of online grocery shopping (OGS) in emerging markets remains uneven. The drivers of consumer attitudes towards this channel are not well understood in the South African context. This paper investigates the effects of perceived usefulness, perceived ease of use and perceived risk on consumer attitudes towards OGS in Gauteng, South Africa. It investigate whether perceived usefulness mediates the effect of perceived ease of use on attitude. Data were collected through a structured, self-administered questionnaire distributed online to grocery shoppers aged 18 to 60 across Gauteng, yielding a final valid sample of 507 respondents. The data were analysed using a two-step structural equation modelling approach in Stata 17, with Spearman correlation and quantile regression conducted as additional robustness checks. Perceived usefulness emerged as the strongest, most consistent driver of consumer attitudes towards OGS (β = 0.555, p < 0.001). Perceived ease of use had a positive direct effect (β = 0.162, p = 0.020) that did not hold consistently under the quantile regression check; it was, however, strongly correlated with perceived usefulness (ρ = 0.589, p < 0.001). A formal mediation test found that perceived usefulness did not significantly mediate the relationship between perceived ease of use and attitude (Sobel p = 0.321), indicating that perceived ease of use influences attitude directly rather than through perceived usefulness. Contrary to previous studies and initial expectations, perceived risk did not significantly influence consumer attitudes (β = 0.059, p = 0.319). These findings extend the Technology Acceptance Model to an emerging online grocery market and offer practical guidance for retailers seeking to strengthen consumer adoption in similar developing-market contexts.

The study focused on Sustainable adoption of cryptocurrencies for enhancing financial stability in emerging markets. The problem of the study is lack of awareness on the use of cryptocurrency resulted in many transacting people losing their money to scam and criminals who use fraudulent methods to deprive those with little knowledge to transact through the cryptocurrency. The specific objectives of the study are to; establish the factors influencing the adoption of cryptocurrencies for enhancing financial stability emerging markets, analyse the opportunities and challenges for the adoption of cryptocurrencies in emerging markets, establish strategies for enhancing financial stability through the adoption of cryptocurrencies in emerging markets. The research study is guided by the Technology Acceptance Model by Davis, (1989). the findings of the research indicated that the perceived usefulness and perceived ease of use showed positive association on the intention to use cryptocurrencies. The ease and usefulness of cryptocurrencies was found in fulfilling various roles including making instant international money transfer, transacting at low charges, using it as an alternative source of currency, making free anonymous transaction and paying for the online service that accept cryptocurrencies. The results indicate that higher inflation and increased exchange rate volatility are positively associated with greater use of cryptocurrencies, explaining that such economic conditions drive individuals to seek alternative financial instruments. The study concluded that, the adoption of cryptocurrency is important for enhancing financial inclusion amongst people of different walks of life in emerging markets. The adoption of cryptocurrency by the emerging markets is significant in maintaining financial stability and reduce the erosion of the local currencies in emerging markets.

This paper systematically reviews literature with the aim of conceptualizing a change management framework for the effective use of the Examination Administration System (EAS). Information systems (IS) change management factors in the implementation and the post-implementation phases are systematically reviewed to identify 37 reports between 2015 and 2023 and content was analyzed. Post-acceptance phase poses many challenges that often result in resistance from the user community thus relinquishing the expected gains. This paper explains change management factors in the post-implementation phase of information systems as they are not adequately addressed in existing literature. The conceptualization of the change management framework draws on the integration of the Unified Theory of Acceptance, Use of Technology and Effective Use Theory and nine change management factors as facilitating conditions. The paper concludes that effective use of EAS is realized through change management factors (i.e., user training, top management support activities, information flow, planning EAS as a change, change shared vision, performance measurement, user involvement and change recognition, user satisfaction and effective communication). This study further adds the indirect mechanisms (i.e., technology use and IS adaptive use) through which the change management factors can impact effective use. The study provides a useful guide to the practitioners and researchers to explain the change management strategies for the effective use of information systems and improve it. This paper also proposes that future studies adapt and/or empirically test conceptual change management apparatus for effective use to ascertain its validity within various contexts.

Cloud computing changed our way of doing things because we now maintain our systems and data on global online platforms. The research aimed to investigate the predictive factors determining the quality of personal users' cloud computing and their effect on platform performance. The study adopted a cross-sectional, descriptive, quantitative design conducted within South African communities and received 254 responses, a response rate of 66.1%. The measurement model (SRMR = 0.071) results demonstrated that cost-effectiveness, reliability, flexibility, availability, security effectiveness, and scalability collectively define the quality of cloud computing platforms utilized by personal users. AVE (0.575 – 0.694), CR (0.844 – 0.901), Fornell-Larcker criterion, and cross-loadings confirmed convergent validity, reliability, and discriminant validity. Security effectiveness, scalability, and reliability have a statistically significant effect on platform performance with small to medium effect sizes. The theoretical implication is an enhanced domestication theory of technology based on cloud computing, thus providing insights into the needs required to fit within the prevailing environment and context. In addition, it helped understand the personal users' decisions on cloud computing. The study enhances cloud computing at a personal level through understanding that the decision and value may differ from well-researched organizational levels.