$1\mathrm{.}1$ How can MS$2$ leverage IoT, AI$,$ and big data analytics to create comprehensive digital sustainability solutions that support multiple industries, such as agriculture and logistics$,$ beyond their current focus areas? Discuss how these technologies can be adapted to different sectors and environments in Africa and how they might contribute to the company$$s expansion strategy. $(5)$

$1\mathrm{.}2$ Evaluate the regulatory and infrastructural barriers MS$2$ may encounter in other African countries. How can the company develop a proactive regulatory strategy to mitigate these challenges and potentially influence policy favouring digital sustainability? Suggest partnerships or alliances MS$2$ could form to enhance its regulatory advocacy efforts. $(5)$

$1\mathrm{.}3$ Identify the factors influencing the adoption of digital sustainability solutions in Africa, particularly within industries less inclined to invest in new technologies. How can MS$2$ drive adoption and overcome resistance in these sectors$?$ Propose a stakeholder engagement strategy addressing industry$-$specific challenges and general misconceptions about digital sustainability. $(5)$

$1\mathrm{.}4$ Given the high costs and technical requirements associated with IoT, AI$,$ and big data technologies, how should MS$2$ approach pricing and service delivery models to make their solutions accessible to businesses of varying sizes and resource levels? Discuss how the company can balance cost, technological complexity, and customer readiness in delivering digital sustainability services. $(5)$

$1\mathrm{.}5$ Propose a framework that MS$2$ could use to evaluate its environmental impact and measure its progress toward specific SDGs$,$ particularly SDG $9,$ SDG $12,$ and SDG $13.$ What metrics and indicators should they include, and how can they integrate this framework into their broader business strategy? Discuss how this framework might help MS$2$ Solutions communicate its value to potential clients and investors. $(10)$