Enhancing Business Efficiency Through Technology

Sustainability, CSR, and Governance

Buch | Hardcover

2026
Springer International Publishing (Verlag)
978-3-032-15819-2 (ISBN)

Noch nicht erschienen - erscheint am 04.04.2026
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Technology plays a pivotal role in transforming businesses into more efficient and socially responsible entities. By integrating advanced tools and systems, companies can streamline their operations, reduce waste, and optimize resource utilization. For instance, automation and data analytics enable faster decision-making, while reducing human error and inefficiencies. This not only enhances productivity but also contributes to cost savings and improved competitiveness. Moreover, technology drives sustainability efforts by enabling the adoption of renewable energy sources, reducing carbon footprints, and facilitating the circular economy. Businesses leveraging technology can balance profitability with environmental stewardship, creating long-term value.Beyond operational efficiency, technology strengthens a company's commitment to Corporate Social Responsibility (CSR) and Corporate Governance. Tools like blockchain ensure transparency and accountability in supply chains, reinforcing ethical practices and trust among stakeholders. Digital platforms allow businesses to engage with communities and support social initiatives effectively, enhancing their brand reputation. Additionally, advanced governance systems, such as AI-driven compliance monitoring, ensure that companies adhere to regulatory requirements and uphold ethical standards. Through such innovations, technology empowers businesses to achieve a harmonious blend of economic performance, social responsibility, and ethical governance, paving the way for sustainable growth. Technology also empowers businesses to adapt to evolving market demands and global challenges with agility and foresight. By leveraging digital transformation strategies, companies can anticipate shifts in consumer behavior and economic trends, enabling proactive decision-making. For example, the use of machine learning and predictive analytics provides businesses with valuable insights to forecast demand, optimize inventory, and enhance customer experiences. Additionally, technology facilitates global collaboration through digital platforms, breaking down geographical barriers and fostering innovation. These advancements ensure that businesses remain resilient, competitive, and well-positioned to thrive in an ever-changing landscape while staying true to sustainable and socially responsible practices.

Prof. Muneer Al Mubarak received his Ph.D. in Business & Economic Studies (Marketing) from the University of Leeds, UK. Prof. Al Mubarak's expertise is in strategic management, marketing management, and relationship marketing. He held several managerial positions in Ahlia University such as Department Chairperson, Dean of College of Business & Finance, Acting Dean of Students Affairs, Acting Dean of Graduate Studies & Research, and Vice President for Administration and Finance. He contributed to several quality assurance programs and institutional accreditation over the years. He has over 35 years work experience as he contributed well to teaching and training in areas such as Leadership, Strategic Management, Relationship Marketing, Marketing Management, Marketing Communications, Sustainability, Corporate Social Responsibility, Customer Relationship Management and Service Excellence. He has participated in many community activities over the years and is a reviewer of many reputable international journals. He is also a member of several high ranked Editorial Advisory Board journals such as Journal of Young Consumer, and Social Responsibility Journal.

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Erscheint lt. Verlag	4.4.2026
Reihe/Serie	Studies in Systems, Decision and Control
Zusatzinfo	Approx. 800 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Artificial Intelligence • Big Data • Governance • internet of things • sustainability • Technological Sustainability
ISBN-10	3-032-15819-2 / 3032158192
ISBN-13	978-3-032-15819-2 / 9783032158192
Zustand	Neuware