How can capability for short-term scheduling be improved using digitalization?

The management of service operations often requires real-time adjustments to work schedules to accommodate changing demand and other disruptions (Hur et al., 2004). In the digital era, where industry life cycles are increasingly accelerated, the need for agile scheduling practices has become more critical. (Cook, n.d). Real-time schedule adjustments allow service managers to promptly respond to variations in demand, staff availability, and other unforeseen events that can impact operations. This study explores the decision-making processes and key considerations involved in real-time scheduling adjustments in service organisations. Scheduling in a services environment differs from traditional manufacturing scheduling in that it must account for uncertainties, interpersonal dynamics, and the need for immediate responsiveness to customer requirements. The present research examines how service managers assess the gap between scheduled staff capacity and actual experienced workload, and the range of options they consider making timely adjustments. The research draws on insights from several relevant studies on the topic. A case study on real-time schedule adjustments highlights the importance of correctly identifying the direction of demand changes, rather than precisely quantifying their magnitude (Hur et al., 2004). The study notes that workforce scheduling is critical to the success of many service organisations due to its direct impact on customer service, costs, and profitability. (Hur et al., 2004). Another study emphasises the need to address uncertainty at the day-to-day level, such as unplanned absenteeism, equipment failures, and unexpected spikes in demand, through real-time scheduling and control (Bard, 2004). A third study delves deeper into the real-time work schedule adjustment decision, defining it as the correction made to the staff schedule when there is a significant gap between experienced workload and scheduled staff capacity. (Hur et al., 2004). In the context of the digital economy, the ability to rapidly adapt work schedules to evolving conditions can provide a competitive advantage for service providers. And on the contrary, the failure to have robust scheduling practices and capabilities can lead to suboptimal resource utilisation, poorer customer experience, and diminished financial performance.This paper examines the key decisions and tradeoffs involved in real-time schedule adjustments, drawing on relevant academic literature to provide insights for service operations managers and higher education institutions such as Stadio Holdings (https://stadio.ac.za/about-stadio).Finding what to fix: Herbert A. Simon’s decision-making model, particularly his concept of bounded rationality, offers a robust framework for understanding and enhancing the intelligence phase of decision-making processes in organisations like Stadio. The intelligence phase is crucial as it involves identifying problems, gathering relevant information, and understanding the context within which decisions will be made. We expand below on how Simon’s model can be applied during this phase, particularly in the context of Stadio’s operations and strategic initiatives. Understanding Bounded Rationality: Simon’s notion of bounded rationality posits that decision-makers operate under constraints of limited information, cognitive limitations, and time restrictions. This means that while individuals strive for rationality, their decisions are often made within the confines of what they can realistically process. In the context of Stadio, this is particularly relevant as the institution navigates the complexities of higher education, including regulatory requirements, market demands, and internal capabilities. Identifying Problems and Opportunities: In the intelligence phase, Stadio must first recognise the challenges and opportunities it faces. This could involve: Market Analysis: Utilising performance metrics and feedback from stakeholders (students, faculty, industry partners) to identify gaps in current offerings or emerging trends in education. SWOT Analysis: Conducting a SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) to systematically evaluate internal capabilities against external market conditions. Simon’s model suggests that decision-makers should not only focus on the most apparent problems but also consider underlying issues that may not be immediately visible. This requires a comprehensive approach to data collection and analysis, which can be facilitated through both qualitative and quantitative methods. Gathering Information: Once problems have been identified, the next step is to gather relevant information. Simon’s model emphasises the importance of information in decision-making: Data Collection: Stadio can leverage various data sources, including academic performance statistics, student satisfaction surveys, and employment outcomes of graduates, to inform their decision-making. Stakeholder Engagement: Engaging with faculty, students, and industry representatives to gather insights and perspectives that may not be captured through traditional data collection methods. Benchmarking: Comparing Stadio’s performance against other institutions can provide valuable context and identify best practices that can be adopted. Analysing Information: In this phase, Stadio must analyse the collected information to understand the implications of different choices: Decision Trees: Utilising decision trees to visualise potential outcomes of various courses of action can help clarify the risks and benefits associated with each option. Scenario Planning: Developing scenarios based on different assumptions about future conditions can help Stadio prepare for uncertainty and make more informed decisions.Simon’s model encourages a systematic approach to analysing information, recognising that decision-makers may not have the capacity to process all available data. Therefore, prioritising key metrics and insights that directly impact strategic goals is essential.Trend Analysis: The digitalisation of operations in developing economies presents both significant challenges and opportunities. This analysis identifies critical technological and societal trends influencing this dilemma, including the technology bottleneck, the importance of digital infrastructure, and the role of stakeholder engagement. These trends highlight the necessity for organisations to adapt their strategies considering the prohibitive costs and complexities associated with digital transformation. Technological Trends: Technology Bottleneck: Definition: A technology bottleneck occurs when the capacity of a technological system is limited, hindering the overall performance and effectiveness of operations. Impact: In developing economies, limited access to advanced technologies can restrict organisational growth and competitiveness. According to a report by the International Telecommunication Union (ITU, 2020), only 19% of individuals in low-income countries have access to the internet, compared to 87% in high-income countries. This digital divide exacerbates the technology bottleneck, limiting the ability of organisations to leverage digital tools for operational efficiency. Digital Infrastructure Development: Importance: Developing robust digital infrastructure is critical for facilitating digitalisation. The World Bank (2021) emphasises that investments in digital infrastructure can lead to improved economic outcomes, with estimates suggesting a potential increase in GDP by up to 5% in developing countries through enhanced digital connectivity. A study by the McKinsey Global Institute (2021) found that every 10% increase in broadband penetration can lead to a 1.38% increase in GDP in developing economies. This demonstrates the significant economic opportunity associated with improving digital infrastructure. Adoption of Digital Twins: Definition: Digital twins are virtual representations of physical systems that can be used for simulation and optimisation. Application: The use of digital twins can enhance operational efficiency and decision-making processes. According to Gartner (2022), the adoption of digital twins is expected to grow by 30% annually, particularly in manufacturing and supply chain management sectors, providing organisations with the ability to model and optimise their operations in real-time. Societal Trends: Asymmetric Information Exchange: Challenge: The current digital landscape often favours internal stakeholders, leading to an imbalance in information exchange. This can result in decision-making processes that do not adequately consider the perspectives of all stakeholders, particularly those negatively affected by operational decisions (Jackson, 2019). Opportunity: By fostering transparent platforms and participative governance mechanisms, organisations can mitigate the effects of asymmetric information, leading to more equitable outcomes and improved stakeholder engagement. Customer-Centricity and Co-Creation: Trend: There is a growing emphasis on customer-centric approaches in digital operations, where customers are viewed as active participants in the value creation process. Impact: This shift towards co-creation can enhance customer satisfaction and loyalty. A study by the Harvard Business Review (2021) found that organisations that engage customers in the co-creation process can achieve up to 25% higher customer satisfaction scores compared to those that do not. Sustainability and Ethical Considerations: Importance: As organisations digitalise, there is an increasing recognition of the need to integrate sustainability and ethical considerations into their operations. This includes ensuring that digitalisation efforts do not exacerbate existing inequalities or harm the environment. According to a report by the United Nations (2020), 70% of consumers are willing to pay more for sustainable products, highlighting the market opportunity for organisations that prioritise ethical practices in their digital transformation efforts. Reflection on the Digitalised Approach to Short-Term Scheduling: The digital transformation dilemmas faced by organisations, particularly in developing economies, necessitate a nuanced understanding of how digitalisation can reshape operational strategies. The context provided highlights key issues surrounding digitalisation, including the costs associated with technology ownership, the importance of expertise in operations management, and the need for ethical considerations in decision-making. In this light, a digitalised-based approach to short-term scheduling for Stadio can be instrumental in addressing these dilemmas effectively. a) Key Costs and Strategic Realignment: 1. Technology Ownership Costs: The prohibitive costs associated with digital technologies can serve as a significant barrier to digital transformation in developing economies. Organisations must recognise that investing in their own digital infrastructure can lead to long-term benefits. By focusing on developing in-house capabilities, Stadio can mitigate the risks associated with technology ownership, such as maintenance costs and vendor lock-in. This strategic realignment can enhance operational efficiency and reduce dependency on external providers. Short-term Scheduling Benefits: A digitalised approach to short-term scheduling can optimise resource allocation, minimise downtime, and enhance responsiveness to changing market conditions. By leveraging digital tools such as predictive analytics and machine learning algorithms, Stadio can forecast demand fluctuations and adjust its scheduling accordingly. This agility is crucial in a competitive environment where customer preferences can shift rapidly. b) Expertise and Knowledge Management: Sources of Knowledge: Several articles emphasis the importance of expertise in operations management and the need for relevant knowledge and skills. Stadio should invest in training its workforce to utilise digital tools effectively. This includes understanding how to interpret data generated by digital scheduling systems and making informed decisions based on real-time insights. Collaborative Network Design: Engaging in open innovation and collaborative network design can enhance Stadio’s ability to co-create value with stakeholders. By fostering partnerships with technology vendors and other organisations, Stadio can leverage shared knowledge and resources, leading to improved scheduling outcomes and overall operational effectiveness. c) Ethical Considerations and Stakeholder Engagement: Transparency and Stakeholder Engagement: The ethical defensibility of digital transformation initiatives is paramount. Stadio must ensure that its digital scheduling systems are transparent and that stakeholders are engaged in meaningful ways. This can help address the asymmetry of information that often favours internal stakeholders, ensuring that all parties have a voice in the decision-making process. Emancipation of Negatively Affected Stakeholders: The digitalisation process should also consider the interests of those who may be negatively affected by operational changes. By implementing feedback mechanisms and involving employees in the scheduling process, Stadio can create a more inclusive environment that values diverse perspectives. Measures of Succes Holistic Framework for Success: Traditional lagging measures of success, such as productivity and profitability, may not fully capture the impact of digitalisation on operations. Stadio should adopt a holistic framework that integrates operational efficiency, data accuracy, collaborative effectiveness, sustainability, and customer satisfaction. This approach will provide a more comprehensive understanding of the benefits derived from digitalised scheduling. Continuous Improvement: Digital transformation is not a one-time event but an ongoing process. Stadio must establish mechanisms for continuous improvement, leveraging data analytics to refine its scheduling processes continually. This iterative approach will enable the organisation to adapt to changing conditions and enhance its competitive advantage.