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Author: Simphiwe Nxumalo
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Leaders have a duty to make decisions that advance the course of their organisations. Cognitive limitations emanating from human bounded rationality, as well as complex external environments, place a limit on a leader's ability to make quality decisions. This problem becomes pronounced when leaders have to make strategic decisions; which are often irreversible and commit scarce organisational resources. There is, therefore creates a pressing need for organisations to develop capabilities that can aid leaders and their organisation discern their complex environment and improve decision making. This research was an inquiry into the development of dynamic capabilities that would aid sense-making, and decision making. The focal point for this inquiry was the role of Data science in enabling the creation of sense-making capabilities. The study deployed an inductive qualitative methodology suitable for exploring the link between data science-enabled dynamic capabilities, and strategic decision making, as an emerging area of work. Part of this exploration involved reviewing existing literature from both business and academic sources. Data collection from participants ensured the infusion of domain knowledge into this study as augmented by academic literature in order to improve the reliability of the findings.
Author: Simphiwe Nxumalo
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Leaders have a duty to make decisions that advance the course of their organisations. Cognitive limitations emanating from human bounded rationality, as well as complex external environments, place a limit on a leader's ability to make quality decisions. This problem becomes pronounced when leaders have to make strategic decisions; which are often irreversible and commit scarce organisational resources. There is, therefore creates a pressing need for organisations to develop capabilities that can aid leaders and their organisation discern their complex environment and improve decision making. This research was an inquiry into the development of dynamic capabilities that would aid sense-making, and decision making. The focal point for this inquiry was the role of Data science in enabling the creation of sense-making capabilities. The study deployed an inductive qualitative methodology suitable for exploring the link between data science-enabled dynamic capabilities, and strategic decision making, as an emerging area of work. Part of this exploration involved reviewing existing literature from both business and academic sources. Data collection from participants ensured the infusion of domain knowledge into this study as augmented by academic literature in order to improve the reliability of the findings.
Author: Marc Sniukas
Publisher: Springer Nature
ISBN: 3030501000
Category : Business & Economics
Languages : en
Pages : 215
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Book Description
This study adopts a dynamic capabilities perspective to explore the activities and processes through which business model innovations arise in established organisations. New and innovative business models are fundamental to the commercialisation of the latest technologies, performance, and competitive advantage, as well as value creation for customers, the focal company and its ecosystem. Yet, our current understanding of how established companies design and implement new business models is limited by a lack of empirical research. Based on a review of relevant literature, business model innovation is presented and explored as a dynamic capability. The book subsequently uses proven methodologies to gather and analyse data from five case studies in the manufacturing, financial services, media, consulting, and healthcare industries. The framework developed here offers a novel understanding of how business model innovations come about in established organisations, a practice it dubs ‘crafting business models in statu nascendi’.
Author: Robert F. Smallwood
Publisher: John Wiley & Sons
ISBN: 1118421019
Category : Business & Economics
Languages : en
Pages : 464
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Book Description
Proven and emerging strategies for addressing document and records management risk within the framework of information governance principles and best practices Information Governance (IG) is a rapidly emerging "super discipline" and is now being applied to electronic document and records management, email, social media, cloud computing, mobile computing, and, in fact, the management and output of information organization-wide. IG leverages information technologies to enforce policies, procedures and controls to manage information risk in compliance with legal and litigation demands, external regulatory requirements, and internal governance objectives. Information Governance: Concepts, Strategies, and Best Practices reveals how, and why, to utilize IG and leverage information technologies to control, monitor, and enforce information access and security policies. Written by one of the most recognized and published experts on information governance, including specialization in e-document security and electronic records management Provides big picture guidance on the imperative for information governance and best practice guidance on electronic document and records management Crucial advice and insights for compliance and risk managers, operations managers, corporate counsel, corporate records managers, legal administrators, information technology managers, archivists, knowledge managers, and information governance professionals IG sets the policies that control and manage the use of organizational information, including social media, mobile computing, cloud computing, email, instant messaging, and the use of e-documents and records. This extends to e-discovery planning and preparation. Information Governance: Concepts, Strategies, and Best Practices provides step-by-step guidance for developing information governance strategies and practices to manage risk in the use of electronic business documents and records.
Author: Ron S. Kenett
Publisher: John Wiley & Sons
ISBN: 111957076X
Category : Science
Languages : en
Pages : 142
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Book Description
The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now "the world's most valuable resource." But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is "the most valuable resource." "These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it." —Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy "I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data." —Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University "Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers." —A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University
Author: Aimé Heene
Publisher: Emerald Group Publishing
ISBN: 1784412740
Category : Business & Economics
Languages : en
Pages : 388
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Book Description
Changing business environments challenge established management ideas and practices. This volume draws on competence-based theory to identify and elaborate some important ways in which organizational competences are evolving - or should evolve - to respond to some fundamental forms of change in business environments.
Author: Martin Kunc
Publisher: John Wiley & Sons
ISBN: 1118907183
Category : Business & Economics
Languages : en
Pages : 402
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Book Description
Defines common ground at the interface of strategy and management science and unites the topics with an original approach vital for strategy students, researchers and managers Strategic Analytics: Integrating Management Science and Strategy combines strategy content with strategy process through the lenses of management science, masterfully defining the common ground that unites both fields. Each chapter starts with the perspective of a certain strategy problem, such as competition, but continues with an explanation of the strategy process using management science tools such as simulation. Facilitating the process of strategic decision making through the lens of management science, the author integrates topics that are usually in conflict for MBAs: strategy and quantitative methods. Strategic Analytics features multiple international real-life case studies and examples, business issues for further research and theory review questions and exercises at the end of each chapter. Strategic Analytics starts by introducing readers to strategic management. It then goes on to cover: managerial capabilities for a complex world; politics, economy, society, technology, and environment; external environments known as exogenous factors (PESTE) and endogenous factors (industry); industry dynamics; industry evolution; competitive advantage; dynamic resource management; organisational design; performance measurement system; the life cycle of organisations from start-ups; maturity for maintaining profitability and growth; and finally, regeneration. Developed from the author's own Strategy Analytics course at Warwick Business School, personal experience as consultant, and in consultation with other leading scholars Uses management science to facilitate the process of strategic decision making Chapters structured with chapter objectives, summaries, short case studies, tables, student exercises, references and management science models Accompanied by a supporting website Aimed at both academics and practitioners, Strategic Analytics is an ideal text for postgraduates and advanced undergraduate students of business and management.
Author: Lund Pedersen, Carsten
Publisher: Edward Elgar Publishing
ISBN: 1839100168
Category : Business & Economics
Languages : en
Pages : 272
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Book Description
This important book considers the ways in which small and medium-sized enterprises (SMEs) can thrive in the age of big data. To address this central issue from multiple viewpoints, the editors introduce a collection of experiences, insights, and guidelines from a variety of expert researchers, each of whom provides a piece to solve this puzzle.
Author: Peter N. Golder
Publisher: Edward Elgar Publishing
ISBN: 1784718157
Category : Business & Economics
Languages : en
Pages : 469
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Book Description
New products are the major driver of revenue growth in today's dynamic business environment. In this Handbook, the world's foremost experts on new product development bring together the latest thinking on this vitally important topic. These thought-leading authors organize knowledge into useful and insightful frameworks covering all aspects of new product development: companies, collaborators, customers, context, markets, and performance. Managers will benefit from the handbook by expanding their knowledge of new product development and researchers will learn about opportunities to continue expanding on this body of knowledge.
Author: Ghazwan Hassna
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
This paper responds to the continual call from both academic scholars and industry professionals to theorize about the influence of “big data” on organization competitiveness and performance. To resolve the ambiguity surrounding “big data” term we propose a new construct called “big data capability.” We consider “big data capability” as a higher-level construct consists of three sub lower- level constructs: big data infrastructure capability, big data management capability, and big data science capability. We argue that big data capability improves customer sensing capability, and we clarify that this impact is moderated by both the organization market orientation and the data-driven decision making practice. We further stress that creating the competitive action that contributes to the organization performance requires the alignment and fit between the two components of customer agility: customer sensing capability and customer responding capability. From the theoretical perspective, the paper contributes to the strategic IS literature by extending the dynamic capability theory through introducing the big data capability as a precedent to customer sensing agility, the dynamic capability. The paper also extends the theory by introducing both market orientation and data driven culture as moderators to the impact of big data capability on customer sensing agility. From the practical perspective, the paper provides useful insights for business and IT leaders who are interested in building their big data capability to improve their organizations competitiveness in the market.
Author: Constantine Stephanidis
Publisher: Springer Nature
ISBN: 3030601528
Category : Computers
Languages : en
Pages : 734
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Book Description
This book constitutes late breaking papers from the 22nd International Conference on Human-Computer Interaction, HCII 2020, which was held in July 2020. The conference was planned to take place in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic. From a total of 6326 submissions, a total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings before the conference took place. In addition, a total of 333 papers and 144 posters are included in the volumes of the proceedings published after the conference as “Late Breaking Work” (papers and posters). These contributions address the latest research and development efforts in the field and highlight the human aspects of design and use of computing systems. The 54 late breaking papers address topics such as Interaction, Knowledge and Social Media.
