Smart Domain: Smart Trade

This paper aims to understand how Enterprise Resource Planning (ERP) adoption in enterprises is influencing Maintenance to deliver on sustainable business operations. In 2024, McKinsey & Company published an article termed “What Matters Most? Eight CEO Priorities for 2024” which highlighted complexity as one of the biggest challenges facing leaders today. This is due to fast changing business environment which necessitate a response from Operations. Slack et al. (2017) lists some of these business pressures which include increased cost-based competition, environmental impact, high-quality expectations and better services amongst others. Maintenance plays a crucial role in responding to some of these pressures through predictive maintenance which reduces costs and energy consumption (Achouch et al., 2022) by use of Internet of Things (IoT) sensors which collect equipment data from various equipment or sections of the business operations. High quality standards are maintained for a prolonged period and variability is reduced as a result. This promising trend in maintenance which is harnessing 4IR Technologies giving birth to Maintenance 4.0 (Achouch et al., 2022), is however isolated from other ten (10) strategic decision areas of business operations (Kettering University, 2016). This siloed design which does not link maintenance systems, smart inventory systems and supply chain systems with wider enterprise processes and human resources robs the enterprise of a single source of data, its visibility, informed decisions, improved supply chain and consumer trust (Santosh, 2024), all of which become a reality by adopting ERP. The implications of this lack of coordination are unmet customer demand, high human resource costs, inefficiencies and tainted supplier relationships. Globalization of trade (Heizer et al., 2024), which ultimately lead to increased customer demand from across the globe, highlight the need for a sound integrated maintenance which will enable the enterprise to meet the growingly varying customer needs. The global network of suppliers that serve these diversified customers ought to produce the same level of quality consistently to survive the growing competitive pressures. Heightened scrutiny on design and production of environmentally friendly, high quality green products have made boardrooms around the world to rethink maintenance from a systems perspective. That is: “How does integration of maintenance data with other strategic decision areas contribute to the running of sustainable business operations? How do we innovate to support sustainability goals while ensuring the reliability and performance of products? How do we make better and instant decisions accurately, to respond to the complexities of the environment?”

In retail merchandising, the layout of a store plays a vital role in guiding customers through the store in a manner that maximizes exposure to a wide range of products. Effective layout strategies optimize the use of available space (Wamuyu, Ratemo & Mwai 2023:3), allowing retailers to display more products without making the store feel cluttered. This customer flow in terms of product placement and product visibility leads to enhanced customer engagement and optimised sales which will ultimately result increased revenue and sustainability (Gul, Lim & Xu 2023). Effective merchandising, specifically product placement optimisation through category management, hinges on data-driven decision-making enabled by supply chain digitalisation. The changing business environment necessitated by Covid significantly impacted retailers in that consumers seek omnichannel retail experiences which can be effectively managed by digitising supply chains beyond merely sales and distribution channels towards a marketing-operations interface (Ishfaq, Darby & Gibson, 2023; Bijmolt, Broekhuis, de Leeuw et al 2021). The impact of an integrated marketing-operations perspective on retail layout strategies is such that stores would need to allocate more space near the front for digital order fulfilment to ensure quick pick-up and dispatch without disrupting regular shopper flow. These zones would be optimized for speed and efficiency, minimizing time spent fulfilling online orders. According to Ishfaq, Darby & Gibson (2023:4), an “omnichannel requires firms to reorient how activities and processes are organized and sequenced to fulfil customer needs”. In this instance, retailers share real-time point of sale and ecommerce data (Chi, Huang, & George, 2020) with supply chain (warehouse, distribution and logistics, etc) to create an integrated and user-centric flow of information for the effective control and management of operations ensuring efficiency and adherence to goals such as digital sales, delivery performance, customer service response times (Pereira & Frazzon, 2021). Therefore, digitising supply chain will enable real-time inventory management in that merchandisers can ensure that high-demand products are not only replenished rapidly but also given significant visibility and facing on the shelf space.

This paper aims to explore how ERP systems can enhance demand management and product design specifically at Netstar, a company specializing in vehicle monitoring and asset recovery. It will also examine the specific challenges and opportunities linked to this process. The aim is to shift towards a more advanced and integrated ERP-based approach to enhance performance, streamline operations, offer timely information for decision-making, and improve efficiency, among other advantages. (Hyunchul, 2020). Businesses must become more agile add intentional to keep up with the recent trends of cloud computing, Industry 4.0, and rapid digital technological advancements and adoption. Even technology firms encounter challenges in achieving impactful digital transformation, despite its perceived benefits. The COVID-19 pandemic also underscored operational vulnerabilities, such as the challenge of effectively managing remote work and the susceptibility to significant supply chain disruptions. Knell (2021) suggests that organisations must prioritise adaptability and flexibility to prosper in this dynamic digital landscape. Nevertheless, numerous organisations fail in their digital transformation endeavours due to their failure to implement this critical paradigm change, resulting in stagnation, missed opportunities, and an inability to respond appropriately to changing market demands. Ineffective change management practices, which prioritise technology over human factors, is a common contributor to failures as well (Jawad & Balázs, 2024; Morawiec & Sołtysik-Piorunkiewicz, 2023). Industries are still being disrupted by “omnipresent data, unlimited connectivity, and massive computing power.” Companies also encounter increasing complexity and obstacles in their transformation journeys since the Internet was commercialised, as evidenced by research conducted by Bjelland & Haddara (2018) and McKinsey & Company (2023). The challenges linked to strict adherence to technology-driven outcomes are compounded by heightened competitive dynamics, and unpredictability. In this environment, quick decision-making, adaptability, flexibility, and continuous learning are crucial skills to navigate increasing ambiguity (Whiteside, 2023). Product design processes benefit significantly from seamless collaboration among departments, along with easy access to relevant sales and customer data, improving quality and efficiency. ERP systems are essential for the improvement of demand management by utilising real-time data analytics, which facilitates the development of effective products through precise forecasting and proactive decision-making. Effective ERP integration can optimise inventory levels, reduce waste, and expedite product delivery. This enhancement improves operational efficiency and product design by creating a more adaptable and flexible development environment. The result is the provision of superior products that are specifically tailored to surpass customer expectations. (Jawad & Balázs, 2024). This article takes a systems approach to examine how ERP systems might solve these challenges by improving demand management that supports impactful product design at Netstar, inspired by the research question: “How can ERP systems improve demand management for effective product design at Netstar?”

Strategic Decision Area (SDA) was allocated as layout strategies and the syndicate selected Pick n Pay as the organisation for the assignment. Pick n Pay is a retail business in the fast-moving consumer goods industry. They opened their doors in 1967 in Cape Town. They currently have 2 279 stores predominantly across 8 countries. Part of their overarching layout strategy is to leverage Boxer stores and franchise models that provide broader customer growth opportunities in geographies that aren’t part of the larger Pick n Pay group core capabilities. Pick n Pay’s strategy model consists of the following aspects which provide guidance to supporting strategies and processes that enable their overall competitive advantage and success as an organisation with multiple geographic presence and multiple customer personas Context of Pick n Pay Group: Mission: We serve. With our hearts we create a great place to be. With our minds we create an excellent place to shop. Enduring values: We are passionate about our customers and will fight for their rights. We live by honesty and integrity. We foster personal growth and opportunity. We take individual responsibility. We care for and respect each other. We support and participate in our communities. We nurture leadership and vision, and reward innovation. We are all accountable. Dilemmas identified by syndicate 9: Product placement. Use of spaces including floor, shelves, aisles. Accessibility for persons living with disabilities. Customer experience to ensure consistency across retail stores. Brand management alignment across physical and digital retail touchpoints. Pick n Pay’s store footprint is split between two brands, Pick n Pay and Boxer as depicted in the below Figure 1 from their 2024 integrated report (Pick n Pay, 2024).What is the student’s understanding of the assigned SDA, from their findings? In context of the above group SDA, I was assigned the specific question of: How can digitalisation address capacity constraints related to layout decisions? Considering that layout strategies are more relevant now, since the COVID-19 pandemic, there is an enhanced focus from retailers to optimise their physical store presence while also ensuring that their customer experience remains high through the increased adoption of digital click-and-collect technologies (Coad, Domnick, & Flachenecker, 2021). Pick n Pay has prioritised real estate optimisation as a second strategic unlock to their overall strategy plan (Pay, Full year result and strategy update 2024, 24). This includes rebranding underperforming stores to Boxer stores (or closing them), conducting maintenance and repairs on well performing stores to ensure that customer experience remains high, converting QualiSave stores to Pick n Pay stores. These all form part of the overall strategy to create a R850m saving or loss avoidance for the organisation (Pay, Full year result and strategy update 2024, 24). The use of digital solutions that seek to enable the Pick n Pay ecosystem can be used to address capacity constraints in relation to layout strategies in the following aspects: Integration of technology devices: To assist with inventory management systems through weight sensitive sensors. Cooling system monitoring for refrigerated stock and on-shelf items that need to be stored in shops. Sensors and cameras that record physical foot trabic in and out of the store. As a future strategy, Pick n pay could consider the use of smart trolleys that have sensors which help monitor customer patterns over time inside the store (Peron, Fragapane , & Sga, 2020). Omni-channel digital enablement: The integration of the Pick n Pay click-andcollect ASAP! mobile app will require real-time monitoring of stock levels on the app. There are also external click-and-collect platforms which are used in the Pick n Pay ecosystem, such as Takelot.com’s food delivery mobile app; Mr D and global leader Uber Eats. The technology department and it’s management at Pick n Pay will need to monitor customer satisfaction index measures and broader financial digital sales measure to ensure that the digital eco-system for the clickand- collect ordering by Pick n Pay meets shareholder expectations annually, while also ensuring that the digital touchpoints enable sustainable returns by keeping technology costs within acceptable metrics (Coman, 2007). Human resource analytics: Digital tools can be used to assist with proactive capacity planning for stab to ensure that there are ebicient operational processes to restock and manage customer service touchpoints at physical branches. Digital learning management systems should also be leveraged to keep stab abreast of regulatory changes and implemented operational process improvement measures ( Demeter, Losonci, & Szalavetz, 2023). Digitalising Operations | Participation report 2 | Omphile Sekhute 5 How the assigned SDA influences or is influenced by the layout strategies SDA. Leveraging digital solutions as a tool to reduce capacity constraints is relevant to layout strategies as Pick n Pay stores have rotating products that need to be monitored over time to ensure that they; are within their “best before dates”, fulfil seasonal demand from customers, remain accessible to people living with disabilities, enable seamless customer experience across their ecosystem. Key to their strategy success is their digital modernisation strategy which leverages technologies such as Cloud, AI, IoT sensors and digital click-and-collect partners to fast-track their operational processes through digital solutions (Boniface, 2021).

This paper explores how supply chain decisions influence ERP adoption in enterprises. Enterprise resource planning (ERP) and Supply Chain Management (SCM) systems are crucial in improving operational efficiency in enterprises. SCM involves coordinating information, financial flows and material across a network of customers, and suppliers in order to optimize responsiveness and usage (Nemati & Mangaladurai, 2013). ERP systems support SCM by ensuring that data is centralized across business functions, thus enabling real-time insights that enable accurate and swift decision making (Kushwaha & Bhoi, 2023). Supply chain decisions, including supplier coordination, demand forecasting, and inventory control has an influence on ERP adoption by determining the system’s necessary compatibility with existing processes. By effectively integrating ERP, enterprises are able to address any supply chain challenges such as reducing information delays that may interrupt the flow of goods and services Akkermans et al., 2001). Additionally, as a result of competitive pressures within a dynamic market, organization are encouraged to adopt ERP seeing as enterprises seek efficiency and agility through real-time data visibility (Tarigan et al., 2021). ERP system also have the potential to mitigate the “bullwhip effect” in SCM, which is a common issue from demand distortions, by improving the coordination of suppliers and streamlining information flows. Customer and supplier integration is another Supply Chain Management decision that has an impact on Enterprise resource planning adoption. Improved collaboration and response times are ensured by making use of ERP systems that are used to facilitate streamlined collaboration with external partners (Tarigan et al., 2021). This assists in responding to supplier needs promptly and ensures that customer needs are met. Nonetheless, implementation complexities and high cost can constrain ERP adoption, which at times can limit its feasibility in smaller enterprises (Elbertsen & van Reekum, 2008). Futhermore, in order to meet constantly evolving supply chain requirements, ERP systems must be scalable and adaptable in order to ensure continuous improvement (Nemati & Mangaladurai, 2013). In essence, SCM decisions tend to shape ERP adoption by placing an emphasis on compatibility, agile and integration needs in order to enhance operational performance and adapt to market demands. As ERP systems evolve to become more responsive to SCM requirements, enterprises are able to much more easily and effectively synchronize their internal processes with external supply chain dynamics “How does supply chain decisions influence ERP adoption in enterprises?”

This paper explores how I sought to explore how the opportunities of digitalisation capabilities can create a sustainable lean operation for Standard Bank. This approach will demonstrate how digital transformation is increasing efficiency and sustainability in banking operations. CSH helps Standard Bank meet stakeholders’ needs, both customers, employees, as well as regulators, in a timely fashion. Digitalization will increase efficiency, yet CSH is committed to realigning its efforts with ethical principles that support employee welfare in automation and confidentiality of data (Ulrich & Reynolds, 2010). Standard Bank operates in a VSM structure that makes it viable in digital transformation. Support for sustainable lean operations is enabled by aligning units such as retail banking and IT. By means of AI tools and feedback loops, the processes are integrated, and they monitor the performance and customer satisfaction, so as to ensure the system effectiveness. (Beer, 1985). Additionally, AI and RPA as digital tools automate tasks and optimize workflows while extending lean principles. The high reduction in costs and response time is necessary in the banking environment. These technologies have been shown to fit within the ideals of lean, minimizing waste (Moyano-Fuentes & Sacristán-Díaz, 2012). Reducing the usage of physical resources, digitalization can be used. Digital payment, cloud infrastructure, and e-banking implementation to relieve Standard Bank’s carbon footprint is compatible with organization’s own purpose and environmental goals (Kane, Palmer, Phillips, Kiron, & Buckley, 2019). With the use of big data analytics Standard Bank is being able to oversee process optimization and analyze the delivery of service and efficiency in support of lean principles (Bortolotti, Boscari, & Danese, 2015). Influence on Group SDA: Standard Bank’s digitalization efforts must be inclusive (CSH), viable (VSM) and most efficient with lean principles in conjunction with digital tools. Service delivery is further enhanced through data centric approach by use of analytics and AI while service sustainability. With these approaches being integrated, Standard Bank can transform digitally, ensuring efficiency, ethics, environmental responsibility leading to long term sustainability and operational excellence.

This assignment explores scholarly literature about how Supply Chain Management (SCM) decisions can influence Human Resources (HR) work design decision and conversely the impact HR decisions can have on SCM. The Supply Chain Management function exists in organisations as it manages the sourcing of inputs, resources and then transforming them to either deliver a service or product in the marketplace (Lengnick-Hall et al., 2013). The functions of SCM rapidly changed over the years and it now also includes inter alia stock management, inventory, logistics and vendor management. Conversely, the HR function and traditional research has mainly been focused on single activities within the company, but this function is also evolving as it now includes intra and inter-organisational management (where more than one legal entity exist). The human resources and supply chain areas in the domain of study are usually treated separately, despite the clear evidence that is intimately linked (Barnes & Liao, 2012) and also noted by (Gómez-Cedeño et al., 2015). Doerflein et al., 2011 suggests that a connection between HR strategy and deployment of SCM via a path analysis, consisting of variables that test possible underlying relationships. Strategic Human Resource Management (SHRM) and HR systems becomes pivotal to manage these functions. SHRM in the supply chain aids the human resource (HR) orientation as positioned in the SHRM scholarly literature (Lengnick-Hall & Lengnick-Hall, 1999). The theory has evolved since 1999 and the literature indicates that there are changes in the supply chain management framework from a cost, to a more value alignment (Min et al., 2007). Jena & Ghadge, 2021,explores the integration of (S)HRM and SCM for improved supply chain practices. Artificial Intelligence then becomes a useful tool for strategic human resource management (SHRM) to assist with problem solving, workforce development and performance management (Yanamala, 2023). Dilemma:The proliferation of Artificial Intelligence (and perhaps Robotics and Robotic Process Automation) provides both data insights and problem-solving capabilities for both SCM and HR and this may inherently introduce risk in the organisation. This assignment paper then further explores how digital transformation (the use of AI in HR and SCM) can lead to addressing these dilemmas guided by the following research question: How can HR leverage the adoption of AI to provide complex data insights to design and shape a dynamic SCM operational functio

In this paper we explore how supply chain design is influenced by locations strategies. Robust planning is necessary to reap the rewards of a well-designed supply chain, while effective design serves as the foundation for effective planning. Both are constantly modified in response to shifts in the market, guaranteeing that the supply chain stays flexible and responsive. Organizing your supply chain to facilitate effective planning and operation is known as supply chain design. It includes choices on capacity, transportation networks, and facility locations. Supply chain designers face numerous difficulties when deciding on site locations which is a crucial component of every supply chain network. Factors such as transportation costs, location of demand, rates of population, costs of transportation, costs of labour, customer service time and locations of current facilities are all critical to deciding your facility locations. You must consider a number of aspects when making greenfield site selections, including your present and future fixed and variable expenses. For instance, what investments are required today, how many facilities do you already have, how many might you require in the future, and how much will it cost you in 10 years? An often overlooked but essential part of site selection and overall supply chain design is risk and resilience assessments. Taking into consideration the risk at each possible location, such as the likelihood of a natural disaster, the area’s population density, the possibility of political unrest, loadshedding and more. Expanding in a way that makes sense from a business standpoint while also taking your limitations and cost optimization into account is the aim of location selection. You need dependable and useable data to accomplish this. Although you may be able to extract information from a variety of sources, is that information reliable and simple to incorporate into the decision-making process? Finding trustworthy demographic statistics, for instance, is crucial since you need people who are eager to work at your facility. Additionally, since you have never had a facility at this possible location, you are unaware of the expenses associated with transportation to and from that site, thus you require current information on transportation route prices. You won’t be able to identify the best place for your facilities without high-quality data, and your supply chain design will be flawed. In order to investigate how a process-based approach may help resolve these issues, this article takes a systems perspective and is directed by the following research question: How does/can supply chain design influence/or is influenced by locations strategies?

This paper explores the linkages that exist between inventory management strategies and the design of work in enterprises. Firstly, the paper identifies the different inventory management strategies that an organisation may adopt, these include the following strategies: just-in-time, economic order quantity, strategic supplier partnership, vendor managed inventory, and activity based costing (Opoku, Abboah, & Twi, 2021). For each strategy chosen there is a linkage in how the organisation designs work to support the strategy. Mashayekhy, Y., Babaei, A., Yuan, X.-M., & Xue, A. (2022) found that increased automation within the inventory management area driven by the Internet of Things (IoT) has resulted in a shift in the workforce requirements as well as the skillset of the workforce. (Owusu-Andoh, Asante, Konney, & Ofei, 2022) further highlight that the synergy between inventory management strategy and workforce skills is mostly felt in practices like Just In Time (JIT) where coordination needs to be tight to avoid delays. (Ganesha, Aithal, & Kirubadevi, 2020) introduce another perspective to this discussion by highlighting that inventory management systems are now integrated into other enterprise systems thereby giving management the opportunity to experiment with things like pricing, customer preferences, store locations, discounts, and many other variables. This places new demands on the skillsets of workers in the inventory management space where they now need to understand the end to end customer journey as well as aspects of marketing. The paper will also explore the challenges and opportunities brought about by the COVID-19 pandemic, specifically the Work from Home culture. (Anakpo, Nqwayibana, & Mishi, 2023) highlight the impact of these changes on productivity, performance management and job design, this report will seek to understand these changes with respect to inventory management roles.

This paper explores the interplay between location strategies and product/service design, focusing on how geographic choices can shape design outcomes, influencing operational efficiency and market alignment. Resource availability in certain locations often create a need for adapting design to local materials or production capabilities, which can reduce costs and improve sustainability (Deloitte, 2024). Similarly, as Alcácer (2024) illustrates through Walmart’s and Starbuck’s regional expansions, companies frequently modify their designs to better serve local customer preferences, achieving better market relevance. Regulatory environments across different regions require product designs to comply with local laws and standards. Vodafone’s experience in Japan shows how strategic design modifications can facilitate market entry and operational compliance (Vodafone, 2024). This regulatory adaptability not only helps mitigate risk but also enhances competitiveness in markets different to what a company generally operates in. Location decisions are also tied to supply chain efficiencies, thus influencing design to accommodate logistical needs. When companies situate operations near supply chain nodes, they gain an edge over their competitors in terms of responding to market shifts, and can also minimize costs, and optimize distribution efficiency (Planettogether, 2024). However, cost management through location strategies should be balanced; while lower labour and material costs can drive streamlined designs, Alcácer (2024) warns that an excessive focus on cost can compromise long-term strategic positioning. Thus, the synthesis of location strategy with product and service design fosters a holistic approach that strengthens regional alignment, supports operational efficiency, and enhances regulatory compliance. This interconnectedness ensures that products and services resonate with local markets while sustaining competitiveness and adaptability across global operations.