From peripheral Corporate Social Responsibility (CSR) initiatives, corporate climate action has become a core economic and strategic imperative for 21st century business. Pressures of enhanced legal frameworks, market incentives, stakeholder pressure and understanding that climate risks are “something that impact you directly on operations and cost” are the primary drivers behind this shift. Companies are adapting their business models to low-carbon transitions, which brings opportunities and challenges as the global economy moves closer to decarbonisation. This paper examines how firms translate environmental goals into operational indicators and economic performance outcomes to explore the financial dimension of carbon management and green business strategies
Anticorruption business ethics and governance issues have increasingly become key stones for institutional survival, strength and confidence in international business. The assessment of the companies is not simply base on their financial performance, business-related intimate conditions characteristics and competencies in comparison to a market that becomes more interconnected and competitive but are rather viewed inestimable through its respect towards ethical ideals, transparency and responsible governing action.
Amongst our greatest joint endeavours are the cumulative and interrelated efforts being undertaken across the globe to achieve the Sustainable Development Goals (SDGs) of the United Nations by 2030. Never before has the level of collaboration cutting across country, industry and organisation boundaries required to deliver on 17 SDGs been so high. While being important, our traditional ways of developing and governing are at times fragmented and insufficient in dealing with the inherently interdependent challenges of poverty, inequality, climate change and technological inclusion. International collaborations and multi-sector business partnerships have become essential explosive devices for mobilisation of resources, knowledge, imagination and collective action.
After all, in a time of unparalleled market complexity and volatility, existing strategic decision-making practices are woefully inadequate. Organizations today are grappling with uncertain market conditions, where past behaviors rarely lead to future results. Artificial Intelligence (AI) bringing these sophisticated analytical capabilities, pattern recognitions, and predictive insights has revolutionised several aspects of business strategy. AI, though critically valuable in this fight, is not enough — machine algorithms often lack contextual understanding, ethical reasoning and the nuanced judgment required from human decision-makers.
In an increasingly data-driven business environment, predictive analytics is a fundamental capability for organizations looking to improve their economic performance. Predictive analytics enables firms to predict market trends, streamline operational processes and enhance strategic decision-making through the transformation of large volumes of structured and unstructured data into forward-looking insights. While there is increasing adoption of analytics-driven approaches across industries, empirical studies on the actual contribution of predictive analytics to the creation of economic value are scarce. Prior research often emphasizes the technical or conceptual aspects of analytics without providing much evidence for tangible bottom-line operational and financial results.
The recently expanding global focus on sustainability is causing businesses to adopt environmental, social and governance (ESG) considerations within their strategic and operational structures. At the same time, rapidly evolving data analytics technology has transformed business decision making, providing powerful toolkits for managing large and complex data. One key research and application point of the two streams is the intersection between sustainability and data analytics. The research unpacks how data analytics capabilities are associated with sustainable business decision-making, articulating how analytics contributes to more responsible, informed and future-oriented responsive decisions within organizations.
has become a crucial driver of competitiveness in these markets as organizations navigate their structural disadvantages while contending with global technological disruption. In the context of emerging markets, this paper explores the dynamics of digital maturity-firm productivity-process management intelligence. We developed a three-level conceptualization of digital maturity that embodies the extent to which digital technologies, strategic alignment, organizational culture and workforce capabilities converge across business operations.
1.Green Business Strategies and Carbon Management: TheEconomic Dimension of Corporate Climate Action
- Ibrahim Zaid, Mohammed Hassan Download
From peripheral Corporate Social Responsibility (CSR) initiatives, corporate climate action has become a core economic and strategic imperative for 21st century business. Pressures of enhanced legal frameworks, market incentives, stakeholder pressure and understanding that climate risks are “something that impact you directly on operations and cost” are the primary drivers behind this shift. Companies are adapting their business models to low-carbon transitions, which brings opportunities and challenges as the global economy moves closer to decarbonisation. This paper examines how firms translate environmental goals into operational indicators and economic performance outcomes to explore the financial dimension of carbon management and green business strategies
2.Corporate Ethics and Governance Intelligence: Building Trust and Institutional Integrity in Global Business
- Dasith Kavinda, Randika, Muhandiramla Suman Download
Anticorruption business ethics and governance issues have increasingly become key stones for institutional survival, strength and confidence in international business. The assessment of the companies is not simply base on their financial performance, business-related intimate conditions characteristics and competencies in comparison to a market that becomes more interconnected and competitive but are rather viewed inestimable through its respect towards ethical ideals, transparency and responsible governing action.
3.Cross Sector Business Collaborations and Global Partnerships: Accelerating SDG Implementation through Collective Intelligence
- Muhammad Bin Ashraf, Nur Qaseh Aleeya Download
Amongst our greatest joint endeavours are the cumulative and interrelated efforts being undertaken across the globe to achieve the Sustainable Development Goals (SDGs) of the United Nations by 2030. Never before has the level of collaboration cutting across country, industry and organisation boundaries required to deliver on 17 SDGs been so high. While being important, our traditional ways of developing and governing are at times fragmented and insufficient in dealing with the inherently interdependent challenges of poverty, inequality, climate change and technological inclusion. International collaborations and multi-sector business partnerships have become essential explosive devices for mobilisation of resources, knowledge, imagination and collective action.
4.Integrating Artificial Intelligence and Human Judgment for Strategic Decision Making in Uncertain Markets
- Syed Abuthahir, Mubaraq Sathik Ali Khan Download
After all, in a time of unparalleled market complexity and volatility, existing strategic decision-making practices are woefully inadequate. Organizations today are grappling with uncertain market conditions, where past behaviors rarely lead to future results. Artificial Intelligence (AI) bringing these sophisticated analytical capabilities, pattern recognitions, and predictive insights has revolutionised several aspects of business strategy. AI, though critically valuable in this fight, is not enough — machine algorithms often lack contextual understanding, ethical reasoning and the nuanced judgment required from human decision-makers.
5.Economic Value Creation through Predictive Analytics: Evidence from Data Driven Firms
- S.N. Meyyappan, Amarprakash, N. Sriram Download
In an increasingly data-driven business environment, predictive analytics is a fundamental capability for organizations looking to improve their economic performance. Predictive analytics enables firms to predict market trends, streamline operational processes and enhance strategic decision-making through the transformation of large volumes of structured and unstructured data into forward-looking insights. While there is increasing adoption of analytics-driven approaches across industries, empirical studies on the actual contribution of predictive analytics to the creation of economic value are scarce. Prior research often emphasizes the technical or conceptual aspects of analytics without providing much evidence for tangible bottom-line operational and financial results.
6.Impact of Data Analytics on Sustainable Business Decision Making
- Gesang Putra, Batara Katek Download
The recently expanding global focus on sustainability is causing businesses to adopt environmental, social and governance (ESG) considerations within their strategic and operational structures. At the same time, rapidly evolving data analytics technology has transformed business decision making, providing powerful toolkits for managing large and complex data. One key research and application point of the two streams is the intersection between sustainability and data analytics. The research unpacks how data analytics capabilities are associated with sustainable business decision-making, articulating how analytics contributes to more responsible, informed and future-oriented responsive decisions within organizations.
7.Digital Maturity, Management Intelligence, and Firm Productivity in Emerging Economies
- Luningning Mutya, Maria Elena Download
has become a crucial driver of competitiveness in these markets as organizations navigate their structural disadvantages while contending with global technological disruption. In the context of emerging markets, this paper explores the dynamics of digital maturity-firm productivity-process management intelligence. We developed a three-level conceptualization of digital maturity that embodies the extent to which digital technologies, strategic alignment, organizational culture and workforce capabilities converge across business operations.