Showing posts with label Technology management. Show all posts
Showing posts with label Technology management. Show all posts

Friday, November 28, 2014

Technology Management - Introduction

 Technology management
1 Key definitions


Considering etymology of the word technology as ‘techne’ and ‘logos’ from the Greek language, the term technology can be translated into the definition of skill to apply proper techniques (Hakkarainen 2006) or practical application of knowledge (Webster 2010).

Burgelman et al. (2001: 4) defines technology as “technology refers to theoretical and practical knowledge, skills and artifacts that can be used to develop products and services as well their production and delivery systems. Technology can be embodied in people, materials, cognitive and physical processes, plant, equipment, and tools”.


Technology management is defined by several authors and institutes like National Research Council of U.S.A. (1987) and European Institute of  Technology and Innovation Management (2010).

To further the discussion and to add precision to the evolving MoT domain, the National Research Council (1987) developed the following definition to organize, guide, and stimulate research efforts on the management of technology:

Management of technology links engineering, science, and management disciplines
to address the planning, development, and implementation of technological capabilities
to shape and accomplish the strategic and operational objectives of an organization
( National Research Council (1987). Management of Technology: The Hidden Competitive Advantage. Washington, D.C.: National Academy Press, p. 2).

Gregory (1995) has proposed a definition based on a generic process view to technology management. The generic processes of identification, selection, acquisition, exploitation and protection are also included in the definition of European Institute of Technology and Innovation Management.

Cetindamar et al. (2009b) have summarized the definitions of several authors (e.g. Roberts 1988, Gregory 1995, Rush et al. 2007, Dodgson et al. 2008, Levin & Barnard 2008). Cetindamar et al. (2009b) concludes that there might be a consensus about the core process activities of technology management. On the other hand, the scope of technology management is diversely enhanced by, for example, strategy, knowledge, learning, planning, resource, competence, capability, innovations, product development, and
commercialization views.

There exists several definitions and differing understandings on what is knowledge management. In simple terms, knowledge management is about managing what we know (Wilson 2002). In this dissertation, knowledge management is understood as identification, creation, codifying, storing and sharing of knowledge to make it available for business purposes of an enterprise.


It is necessary to differentiate technology management from knowledge management: technology management is concerned with skills to apply and utilize knowledge for business needs and purposes.

2  Schools of technology management

Development paths of management of technology and R&D management can be traced back to the end of 19th century to corporate R&D laboratories. Since then technology management has evolved along 2nd, 3rd and 4th generation R&D until end of 20th century (e.g. Talonen 2008).

Drejer (1997) summarizes four schools of technology management: R&D management, innovation management, technology planning and strategic


3 Technology management frameworks

Frameworks are generally used to present and communicate ideas or concepts in a structured way to support understanding of the topic under study. For considering the applicable viewpoints that a framework should provide, Phaal et al. (2004) refers to a meta-framework of Shehabuddeen (2001) that represents conceptual, applied, dynamic and static dimensions to the topics to be presented in a framework. Necessary abstraction, practicality, position of the elements, and interaction of the elements can be presented in a framework through these dimensions.

 A variety of theoretical, commercial and practical frameworks for presenting ideas related to technology management have been depicted (e.g. Phaal et al. 2000, Talonen 2008). The main types of existing technology management frameworks and their key characteristics are presented in Table.

Each of the framework types represents a partial solution to the problem of ‘what are the elements of  technology management’.

Pilkington & Teichert (2006) and Brockhoff (2003) give an explanation that the reason for the
ambiguity of the field of technology management can be traced back to its early roots to management of R&D laboratories, and that the positioning of the field, amongst other disciplines, has been difficult due to its intertwined nature.

The underlying skeleton of the framework types indicate an approach where attempts are made to define the key processes, functions, routines, methods and tools for specific technology management activities. Secondly, technology  management activities are presented as a discipline that needs to be integrated with the core business processes, and with market and business strategies of an enterprise.

A third approach is to manage knowledge flows of a company as embedded in other processes to link technology as a resource for reaching business objectives, or to manage technology specifically as part of innovation or new product development processes. An integrated management approach divides fields of technology management in normative, strategic and operative dimensions of organizational management from perspectives of objectives, structures and behavior, and outcomes of managed activities.

Due to complexity of the field, and dependency on industry context, the framework types are quite generic. There exists profound knowledge on generalized theories on phenomena about technological development, technology diffusion, dominant designs, innovations, and about role of core competences and dynamic capabilities in enterprises (e.g. Utterback & Abernathy 1975, Dosi 1982, Anderson & Tushman 1990, Rogers 2003, von Hippel 1988, Prahalad & Hamel 1990, Teece et al. 1997).

On the other hand, specific practices have been developed, for example, on technology forecasting, road mapping, portfolio management, evaluation, benchmarking, selection, patenting, licensing, decision grids and strategy making (see e.g. Phaal et al. 2006). Nevertheless, none of the frameworks present a comprehensive view to the entire field.



_______________________

 Main types of technology management frameworks.

Generic process model
Generic five process models: identification, selection,acquisition, exploitation and protection.
Gregory (1995)

Generic five processes and learning seen as dynamic capability.
Cetindamar et al.
(2009b)

Technology management functions

Key functions related to technology management: technology strategy, road mapping, development,
information and knowledge management, acquisition, transfer, forecasting, product development, life-cycle
management, commercialization.
Kropsu-Vehkaperä et al. (2009)

Technology management routines
Key routines: producing scientific and technological knowledge, transforming knowledge into working artifacts, matching artifacts with user requirements, providing organizational support.
Levin & Barnard (2008)

Integration of technology management activity to business processes
Five best practices to integrate technology planning with business planning: planning, involvement,
commitment, buy-in, accountability.
Metz (1996)

Generic framework integrating technology management core processes to processes of strategy,
innovation and operations.
Phaal et al. (2000, 2004)

Technology strategy  approach
Technology strategy creation and implementation regarding to definition of core and complementary
technologies, competencies, make/buy decisions, environment analysis, planning.
Burgelman et al.(2001), Porter (1995), Dodgson et al. (2008)

Integrated management concept
Technology management as a task of general management: normative (vision, know-how acquisition, decision-making, policies, innovation culture creation); strategic (planning, organizational design, make/buy, alliances creation), operative (R&D goals, motivation, tasks fulfillment)
Tschirky (1991) Luggen & Tschirky
(2003)

Innovation funnel
Integrating New Product Development from concepts to commercialization, through knowledge flows and decision-making within commercial/market and networked technology/resource/R&D perspectives.
Wheelwright & Clark (1992), Chesbrough (2006)

Knowledge management Integration and management of knowledge dimensions (what, why, how, when, who, where) by processes, methods, tools and people.
Nonaka (1995), Chai et al. (2003)

Methods and tools approach
Road mapping, blue-box analysis, portfolio analysis, forecasting, decision tree, performance indicators.
See e.g. Phaal et al.(2006)


Source: Elements of Strategic Technology Management, Kari Sahlman, PhD Thesis, Oulu University, 2010

http://herkules.oulu.fi/isbn9789514262500/isbn9789514262500.pdf



http://www.ai.wu.ac.at/~koch/courses/bogazici/archive/techman-summer-2010/2_intro.pdf

http://www.eui.upm.es/sites/default/files/Avisos/ModuloI.pdf

Tech Management - Course outline - Newman
http://www.etm.pdx.edu/new/files/emgt510nti.pdf

Technology Management - Case Study
http://www.jrleeconsulting.com/files/Technology%20Management-Le%20Petit%20Chef.pdf

Managing introduction of new technology in multiplant network
MIT 1990 working paper
http://dspace.mit.edu/bitstream/handle/1721.1/48374/managingintroduc90tyre.pdf?sequence=1


Management of Technology - Paul Lowe, 1995
Management of Technology: Perception and Opportunities
Paul Lowe
Springer, 31-Oct-1995 - Business & Economics - 358 pages

Explains the purpose of a technology strategy and the need for its integration with other business policies
Google Book Link with preview
http://books.google.co.in/books/about/Management_of_Technology.html?id=fC3FX3jVukEC


Important point - neglected area on technology management

Proposal of manufacturing technology management as a new research framework in technology management.

Authors Seino, T. (Corp. Manuf. Eng. Center, Toshiba Corp., Japan) ; Kyomasu, N. ; Nomura, T.

One of the most important issues facing manufacturing industries is the realization of “value innovations”, which create new value for customers by producing new products, systems and services.

However, “process innovations”, which improve current activities and business processes used in producing current products, are as important as value innovations because most manufacturing companies depend on current business to earn sales and profits. Manufacturing technology has been playing an essential role in process innovations by producing high-quality, low-cost products with a short lead time.

In recent years, manufacturing technology has also become important for achieving value innovations, especially by creating more capable new production equipment/devices and better materials.

In spite of the importance of manufacturing technology, technology management methods and approaches have not been sufficiently discussed from the viewpoints of manufacturing technology. In this paper, manufacturing technology management (MTM) is proposed as a new framework in technology management. Furthermore, research themes and an evaluation method of MTM are discussed.

Published in:
Technology Management in the Energy Smart World (PICMET), Portland, OR 2011 Proceedings of PICMET '11:
Date of Conference: July 31 2011-Aug. 4 2011
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6017851&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6017851




Sunday, November 9, 2014

Technology Intelligence - Now a Full Fledged Subject and Program



The Centre for Technology Management has defined 'technology intelligence' as

"the capture and delivery of technological information as part of the process whereby an organisation develops an awareness of technological threats and opportunities." (Kerr et al., 2006).

Intelligence comes from external sources, but it may also be contained within the organisation - explicitly or tacitly - if it has already been acquired by an internal party. Firms need to be able to find and use this information quickly and easily, as well as acquiring the information they need from external sources.

Researchers ar IFM created a three-level model comprising the framework, system, and process of acquiring technology intelligence. The model was tested through case studies of technology intelligence systems in 14 technology-based companies.


Information about the book: Technology intelligence: Identifying threats and opportunities from new technologies


Consultants for Technology Intelligence



VTT TIEDOTTEITA ñ RESEARCH NOTES 2451
Data Mining Tools for Technology and Competitive Intelligence 
Laura Ruotsalainen 
2008 



Approximately 80% of global scientific and technical knowledge can be found, accessed and understood from patent documents.  
Patents are  a unique source of information since they are collected, screened and published according to internationally agreed standards. In addition to providing technology intelligence, patent documents offer a business competitive intelligence by revealing a competitor's strengths and strategies in the area of technology development. Information gained from patents can also help in locating partners for cross-licensing and collaboration. 

Since the patent system was established, more than 60 million patent applications have been published and manual analysis of this huge data is not feasible any more and use of computing technology is cost effective.

Friday, October 24, 2014

Forecasting and Management of Technology, Alan Porter, 2nd Edition, 2011 - Book Information

Forecasting and Management of Technology, 2nd Edition

Alan L. Porter, Scott W. Cunningham, Jerry Banks, A. Thomas Roper, Thomas W. Mason, Frederick A. Rossini


Table of Contents
Acknowledgments xv
1 Introduction 1

1.1 About This Book, 1

1.2 Technology and Society, 2

1.2.1 Social Change, 3

1.2.2 Technological Change, 4

1.3 Management and the Future, 6

1.3.1 Management and Innovation Processes, 7

1.3.2 The Role of Technology Forecasting, 9

1.3.3 The Importance of Technology Forecasting, 10

1.3.4 The Role of Social Forecasting, 12

1.4 Conclusions, 13

References, 13

2 Technology Forecasting 15

2.1 What Is Technology Forecasting?, 15

2.1.1 Models of Technology Growth and Diffusion, 17

2.1.2 Technology Forecasting in Context, 18

2.1.3 What Makes a Forecast Good?, 20

2.1.4 Common Errors in Forecasting Technology, 21

2.2 Methodological Foundations, 23

2.2.1 The Technology Delivery System, 24

2.2.2 Inquiring Systems, 28

2.3 Technology Forecasting Methods, 31

2.3.1 Overview of the Most Frequently Used Forecasting Methods, 33

2.3.2 Method Selection, 37

2.4 Conclusion, 37

References, 38

3 Managing the Forecasting Project 40

3.1 Information Needs of the Forecasting Project, 40

3.1.1 The Technology Manager’s Needs, 42

3.1.2 The Forecast Manager’s Needs, 43

3.1.3 Information about Team Members, 44

3.2 Planning the Technology Forecast, 46

3.3 Team Organization, Management, and Communications, 47

3.3.1 Organizing and Managing the Technology Forecast, 50

3.3.2 Communications, 54

3.3.3 Summary Conclusions about Project Management and Organization, 55

3.4 Success: The Right Information at the Right Time, 56

3.5 Project Scheduling, 57

3.5.1 Program Evaluation and Review Technique (PERT), 58

3.5.2 Gantt Chart, 60

3.5.3 Project Accountability Chart (PAC), 60

3.5.4 Project Scheduling Software, 61

3.6 Conclusions, 62

References, 62

4 Exploring 65

4.1 Establishing the Context—the TDS, 65

4.1.1 Societal and Institutional Contexts, 66

4.1.2 Technology Context, 67

4.1.3 Stakeholders, 68

4.1.4 Understanding the TDS, 69

4.1.5 An Example TDS Model, 70

4.2 Monitoring, 72

4.2.1 Why Monitor?, 74

4.2.2 Who Should Monitor?, 75

4.2.3 Monitoring Strategy, 76

4.2.4 Monitoring Focused on Management of Technology Issues, 79

4.2.5 Monitoring Focused on the Stage of the Technology Development, 81

4.3 The Stimulation of Creativity, 81

4.3.1 Five Elements of Creativity, 81

4.3.2 Group Creativity, 92

4.4 Conclusion, 95

References, 95

5 Gathering and Using Information 98

5.1 Expert Opinion, 99

5.1.1 Selecting Experts, 99

5.1.2 Selecting Expert Opinion Techniques, 100

5.2 Gathering Information on the Internet, 105

5.2.1 Science and Technology on the Internet, 106

5.2.2 Society and Culture on the Internet, 109

5.3 Structuring the Search, 113

5.4 Preparing Search Results, 116

5.5 Using Search Results, 117

5.6 Developing Science, Technology, and Social Indicators, 119

5.6.1 Science and Technology Indicators, 119

5.6.2 Social Indicators, 122

5.7 Communicating Search Results, 122

5.8 Conclusions, 123

References, 124

6 Analyzing Phase 129

6.1 Perspective on Data and Methods, 129

6.1.1 Overview and Caveats, 130

6.1.2 Internet Time Series Data and Trends, 132

6.1.3 Analytical Modeling, 133

6.2 Linear Regression and Extensions, 134

6.3 Growth Models, 138

6.3.1 The Models, 138

6.3.2 Dealing with the Data, 143

6.3.3 Regression and Growth Modeling: What Can Go Wrong?, 144

6.4 Simulation, 145

6.4.1 Quantitative Cross-Impact Analysis, 146

6.4.2 Qualitative Cross-Impact Analysis, 152

6.5 Monte Carlo Simulation, 153

6.5.1 Generating and Displaying Random Values, 153

6.5.2 Sampling Multiple Random Variables, 154

6.5.3 RFID Application in a Hospital Decision, 156

6.6 System Dynamics, 158

6.6.1 The System Dynamics Modeling Cycle, 159

6.6.2 A Technology Forecasting Example: The Cable-to-the-Curb Model, 162

6.7 Gaming, 164

6.7.1 Decision Trees, 165

6.7.2 Bayesian Estimation, 166

6.7.3 Value of Information, 167

6.7.4 Real Options Analysis, 169

6.8 Software Suggestions, 170

6.8.1 Software for Regression, 170

6.8.2 Simulation Analysis Software, 170

6.8.3 Software for Analysis of Decisions, 170

6.8.4 Real Options Super Lattice Software, 170

6.8.5 Software Sites, 171

References, 171

7 Focusing Phase: Using Scenario Analysis 174

7.1 Uncertainty, 175

7.1.1 Uncertainty Frameworks, 175

7.1.2 Source and Nature of Uncertainty, 176

7.1.3 Uncertainty and the Adaptive Paradigm, 177

7.1.4 Techniques for Addressing Uncertainty, 177

7.2 Scenarios, 178

7.2.1 Steps in Creating Scenarios, 178

7.2.2 Types of Scenarios, 182

7.3 Examples and Applications, 184

7.3.1 Scenarios for Renewable Energy Planning, 184

7.3.2 Pervasive Computing Scenarios, 185

7.3.3 Scenarios for Social Change, 186

7.4 Scenarios: Extensions and Advanced Techniques, 187

7.4.1 Scenarios in Multimethodology Forecasts, 187

7.4.2 Extensions of Scenario Analysis, 189

7.5 Conclusions, 191

References, 192

8 Economic and Market Analysis 194

8.1 The Context, 194

8.1.1 Markets and Innovation, 197

8.1.2 Technology and Institutions, 199

8.2 Forecasting the Market, 203

8.2.1 The Consumer/Customer Marketplace, 204

8.2.2 Qualitative Techniques for Appraising Market Potential, 206

8.2.3 A Quantitative Approach—Adoption and Substitution: S-Curve Models, 207

8.3 Forecasting the Economic Context, 208

8.3.1 Macroeconomic Forecasting, 209

8.3.2 Input-Output Analysis, 210

8.3.3 General Equilibrium Models, 214

8.3.4 Hedonic Technometrics, 215

8.4 Forecasting in an Institutional Context, 216

8.4.1 Institutional Arrangements and the Market, 216

8.4.2 Game Theory, 218

8.4.3 Agent-Based Models, 219

8.5 Conclusion, 219

References, 220

9 Impact Assessment 223

9.1 Impact Assessment in Technology Forecasting, 223

9.2 Impacts on Technology and Impacts of Technology, 224

9.3 A Comprehensive Approach to Impact Assessment, 225

9.4 Impact Identification, 226

9.4.1 Scanning Techniques, 226

9.4.2 Tracing Techniques, 227

9.4.3 Narrowing the Impact Set and Estimating Effects, 229

9.4.4 A Final Word, 229

9.5 Impact Analysis, 230

9.5.1 Analyzing Impacts on and Impacts of the Technology, 230

9.5.2 Analyzing Technological Impacts, 232

9.5.3 Analyzing Economic Impacts, 234

9.5.4 Analyzing Environmental Impacts, 234

9.5.5 Analyzing Social Impacts, 238

9.5.6 Analyzing Institutional Impacts, 239

9.5.7 Analyzing Political Impacts, 240

9.5.8 Analyzing Legal and Regulatory Impacts, 241

9.5.9 Analyzing Behavioral, Cultural, and Values Impacts, 242

9.5.10 Analyzing Health-Related Impacts, 243

9.6 Impact Evaluation, 244

9.7 Conclusion, 245

References, 245

10 Cost-Benefit and Risk Analysis 248

10.1 Opportunity Costs and Choices, 248

10.2 Cost-Benefit Analysis, 249

10.2.1 Cost-Benefit Analysis within the Organization, 249

10.2.2 Societal Stake and the Organizational Response, 253

10.2.3 Cost-Benefit Analysis Methods, 260

10.2.4 Economic Value Added, 263

10.2.5 Earned Value Management, 264

10.2.6 The Balanced Scorecard, 265

10.3 Accounting for Risk and Uncertainty, 265

10.3.1 Accounting for Risk within Organizations, 265

10.3.2 Accounting for Risk—the Social Dimension, 269

10.4 Concluding the Focusing Phase, 273

References, 274

11 Implementing the Technology 277

11.1 Forecasting Continues, 277

11.2 Implementation Issues, 278

11.3 Strategic Planning for Technology Implementation, 278

11.4 Selecting from among Alternative Implementations of the Technology, 279

11.4.1 Measurement, 282

11.4.2 Interpretive Structural Modeling, 284

11.4.3 Analytic Hierarchy Process, 285

11.4.4 Wrap-Up, 286

11.5 Technology Roadmapping, 286

11.6 Summary and Concluding Observations, 287

References, 287

12 Managing the Present from the Future 289

12.1 The Overall Approach, 289

12.2 Selecting Methods and Techniques, 290

12.2.1 Using the TDS and the Major Families of Techniques, 290

12.2.2 The 80–20 Rule, 291

12.3 Alternative Perspectives, 291

12.4 Learning from Past Forecasts and Assessments, 293

12.5 Visions, 295

12.6 A Final Word, 295

References, 296

Appendix A Case Study on Forecasting Dye-Sensitized Solar Cells 297

A.1 Framing the Case Study, 297

A.1.1 Characterizing the Technology, 298

A.1.2 Dye-Sensitized Solar Cells, 299

A.2 Methods, 299

A.2.1 Engaging Experts and Multipath Mapping, 299

A.2.2 Developing the TDS, 300

A.2.3 Tech Mining (Chapter 5) and Science Overlay Mapping, 304

A.2.4 Trend Analyses, 310

A.2.5 Cross-charting and Social Network Analyses, 311

A.3 The Rest of the Story, 313

A.3.1 Market Forecasts, 314

A.3.2 Scenarios, 315

A.3.3 Technology Assessment, 315

A.3.4 Further Analyses and Communicating Results, 316

References, 316

Index 319

http://as.wiley.com/WileyCDA/WileyTitle/productCd-0470440902.html

Management of Technology and Operations - R. Ray Gehani - Book Information



http://books.google.co.in/books?id=dT8BL1D9SEsC

In Management of Technology and Operations Ray Gehani reveals the basic principles and best practices applied by top technology-driven organizations in the intensely competitive global marketplace. He pinpoints the six sources of competitive advantage that determine both short-term survival and market leadership over the long term. Then, with the help of real-life examples from leading technology-driven organizations, he demonstrates how these global winners integrate project management and pioneering leadership to exploit the full potential of each of these six sources:


* Research and development
* Production automation and engineering
* Information integration
* Customer trust and market understanding
* Reliability and quality promise
* Building the best people.

Thursday, October 23, 2014

Technology Management - JNTU Hyderabad Syallabus - 2007





Management of Technology

The Objective of the course is to expose students to the importance of technology in conduct of business and its skillful management for optimum results.
*Students need Discounting Table and Statistical Table to solve problem

1. The Process  of  Technological  Innovation: The  Need    for    a    Conceptual  Approach,  Technological  Innovation        as  a  Conversion   Process,    Factors    Contributing  to    Successful    Technological       Innovation.

2. Strategies  For  Research  and  Development: R&D  as  A  Business,   Resource    Allocation    to  R&D,  R&D         Strategy    In    the    Decision       Making  Process,  Selection  and  Implementation  of  R&D  Strategy,     R  and  D        and  Competitive  Advantage,  New  Product  Development.

3. Creativity    and  Problem  Solving: The    Creative    Process,    Creative    Individuals,  Main  Characteristics, Techniques    For   Creative  Problem  Solving.

4. Financial Evaluation of  Research  and  Development  Projects:  The    Need    For  Cost  Effectiveness,  R&D Financial    Forecasts,    Risk    as    a  Factor  In  Financial  Analysis,    Project    Selection   Formulae,  Allocation        of  Resources,  DCF  and  Other    Techniques of evaluating    R&D  ventures.

5. Research  and  Development:  Programme  Planning  and    Control,    Portfolio    Planning,    Project  Planning  and        Control,    Project  Termination,  Resource  Allocation  and  Management.

6. New    Product  Development:   New  Product    Development    as    a   Competitive    Strategy,    Market  Research        For    Developing    New     Products,  Commercialisation  of  Research  Outcomes,    Industrial  Design,    Product        Architecture  and    Design    For    Manufacture,  Developing    Indigenous    Substitute    For    Raw    Materials.  

7. Technological    Forecasting    For    Decision    Making:   The   Definition    of  Technological  Forecasting,       Forecasting    System    Inputs  and  Outputs,  Classification  of  Forecasting  Techniques, Organisation  For      Technological  Forecasting,  Current  Status.

8. Transfer  of    Technology: Modes of technology transfer, Price of  technology transfer, Negotiation for price of MOT.

     References

Tarek Khalil, Management of Technology—The Key to Competitiveness and Wealth Creation, McGraw Hill, Boston, 2006.
V.K.Narayanan, Managing Technology and Innovation for Competitive Advantage, Pearson Education, 2006.
Norma Harrison & Danny Samson, Technology Management—Text and International Cases, McGraw-Hill International, 2005.
IGNOU  Course material on Technology Management.
P.N.Rastogi, Managing Creativity, Macmillan India Ltd, 2003.
William L Miller and Longdon, Morris, Fourth Generation R & D, John Wiley & Sons Inc.
Pradip N Khandwalla: Lifelong Creativity—An Unending Fest, TMH, 2004.
Pradip N Khandwalla: Corporate Creativity, TMH, 2006.
White: The Management of Technology & Innovation Thomson,2007.

Friday, December 7, 2012

Business Model Reengineering


Business Model Reengineering is the New Buzzword


Michael Hammer proposed Business Process Reengineering (BPR)

Venkat N Venkatraman is reminding business leaders the new imperative - Business Model Reengineering.


For Hammer, the base for BPR was technology.

For Venkatraman, the base for Business Model Reengineering is Web. Now it is cloud. People across the globe are now connected through the cloud and are in instant touch. Communication and transactions are now taking place instantly in the cloud. The bandwidth available to users will still further increase and cloud or web based interaction will increase exponentially and time delays will decrease further substantially.

Just as Hammer told business people don't automate business process but reengineer them. Obliterate the current processes and design radically new processes by understanding the power of the new technology.

Venkatraman gives similar call. Don't transfer the work under the current business model to a cheaper location using cloud. Radically reengineer your business models. You can build more effective and efficient business models.

Has any body done it?  Yes. You have totally digital technology based businesses like Google, Amazon, Facebook, Twitter. Yes, they created radically new business models. But the surface of the scope is yet to be scratched. Businesses have not yet grasped the potential.

Venkatraman says, don't look at your current competitors with the same business model and be complacent.  There are many small players in the shadows experimenting with digital technology business models. If you don't take initiatives now, you may face a sudden challenge that you can't survive.

Five Web Framework


Venkatraman formulated the five web framework as Mobile Web, Social Web, Media Web, Real-time Weba and Machine Web.  These five webs are interconnected also.

Mobile web has 5 billion mobile phones. Social web has users on Facebook and Google+ and many others. Media Web has YouTube and many blogs on various platforms apart traditional media now offering e-editions Real time web has twitter. Machine web is the connected machines communicating with each other and taking actions through digital communications.

In the digital economy and infrastructure, advertising has become an important revenue source and permission has become a marketing step. Consumer has more involvement in product creation as well as product promotion.


To Understand More the Five Web Model
http://www.slideshare.net/Venkat101/venkatraman-five-webs

Globalization 3.0 - A talk by Prof Venkatraman on Importance of Expertise
http://management.bu.edu/blog/2010/02/22/professor-n-venkatraman-on-globalization-3-0-and-the-shift-from-economies-of-scale-to-expertise/

Interview with Venkatraman - Economic Times - 7 December 2012
http://economictimes.indiatimes.com/features/corporate-dossier/time-is-right-for-indian-it-companies-to-change-the-way-the-world-sees-them-venkat-n-venkatraman/articleshow/17506823.cms

Digital Technologies - What does it mean for CIOs - October 2011 Presentation
http://www.slideshare.net/Venkat101/it-everywherewhat-does-it-mean-for-future-cios

Relation between Business and IT - October 2002
http://www.sieberpartners.ch/storage/cno-2012/cno12-prof-venkatraman.pdf




IT-Enabled Business Transformation: From Automation to Business Scope Redefiniton.
Venkatraman, N
Sloan Management Review; Winter 1994; 35, 2; Pp. 73-87


Journal of Management - Prof Venkatraman is the 22 most downloaded management researcher.



Related Articles and Reports

Business Transformation and New Business Model - Accenture Presentation
YouTube Video upload by Accenture

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Accenture
How to Transform the Business Model: Analog to Digital
http://www.accenture.com/us-en/outlook/Pages/outlook-journal-2012-from-analog-to-digital-how-to-transform-business-model.aspx

IBM
Digital Transformation - Creating New Business Models
http://www-935.ibm.com/services/us/gbs/thoughtleadership/ibv-digital-transformation.html


When and How to Innovate Your Business Model? - IBM Institute for Business Value
ftp://public.dhe.ibm.com/common/ssi/ecm/en/gbe03260usen/GBE03260USEN.PDF

Tuesday, July 10, 2012

Technology Management - Interesting Web Pages

Technology Management - Interesting Web Pages

Technology Management - Interesting Web Pages

Society for Technology Management, International Journal of Innovation and Technology Management (IJITM), Elements of Strategic Technology Management

Authors


Society for Technology Management
http://www.stemglobal.org/

International Journal of Innovation and Technology Management (IJITM)
http://www.worldscinet.com/ijitm/
Articles available for online download

Elements of Strategic Technology Management
Dissertation, 2010
Kari Sahlman
University of OULU
http://herkules.oulu.fi/isbn9789514262500/isbn9789514262500.pdf