Academics and practitioners promote integration as the thread that holds processes together and is pursued by those who seek efficiency and effectiveness. Integration may be described as any activity, or group of activities, concerning interaction and collaboration, in which individuals, and or organizations, work together in cooperative ways, to achieve mutually acceptable outcomes. Consistent with this notion, this paper proposes a unique, innovative, comprehensive, multidimensional environmental social governance (ESG) sustainability framework to inform on the relationships among integration concepts, ESG sustainability initiatives, distinct management processes, and key supply chain members. Using stakeholder theory as the underlying referent theoretical base, this manuscript informs on the alignment and integration of sustainability reporting and financial reporting to help researchers and practitioners overcome many of the shortcomings of current sustainability frameworks, as well as enable companies, which do not yet have an established sustainability strategy, to define potential initiatives and interventions towards sustainability.
Although business analytics has received its fair share of attention, extant research has paid insufficient attention to establishing and communicating a general understanding of the relationship between analytics and performance. In order to reduce the identified knowledge gap, this study proposes a comprehensive, theoretical framework to explain the key types of business analytics, their relationships, and how business analytics use impacts operational and financial performance. This study proposes a combination of critical systems, "holistic thinking/big picture/decision-making," approaches to moderate key relationships to impact performance. Additionally, this study presents a case illustration of a real-world contract manufacturer, employing the proposed framework, to demonstrate the innovative use of integrated business analytics to turnaround an organization, and position it to survive, thrive, innovate, and grow. Findings indicate that firms, "overwhelmed by" and "struggling to use" data to improve business results, have a viable cost-effective framework to advance business analytics capability, in their organizations.
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